Initial commit

.gitattributes

@@ -0,0 +1,2 @@
+/mvnw text eol=lf
+*.cmd text eol=crlf

.gitignore

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+
+target/
+.mvn/wrapper/maven-wrapper.jar
+!**/src/main/**/target/
+!**/src/test/**/target/
+
+### STS ###
+.apt_generated
+.classpath
+.factorypath
+.project
+.settings
+.springBeans
+.sts4-cache
+
+### IntelliJ IDEA ###
+.idea
+*.iws
+*.iml
+*.ipr
+
+### NetBeans ###
+/nbproject/private/
+/nbbuild/
+/dist/
+/nbdist/
+/.nb-gradle/
+build/
+!**/src/main/**/build/
+!**/src/test/**/build/
+
+### VS Code ###
+.claudeignore
+.vscode/
+scripts/
+.claude
+.mvn/
+logs/
+sql/
+*.md
+nul

mvnw

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+#!/bin/sh
+# ----------------------------------------------------------------------------
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+# ----------------------------------------------------------------------------
+
+# ----------------------------------------------------------------------------
+# Apache Maven Wrapper startup batch script, version 3.3.2
+#
+# Optional ENV vars
+# -----------------
+#   JAVA_HOME - location of a JDK home dir, required when download maven via java source
+#   MVNW_REPOURL - repo url base for downloading maven distribution
+#   MVNW_USERNAME/MVNW_PASSWORD - user and password for downloading maven
+#   MVNW_VERBOSE - true: enable verbose log; debug: trace the mvnw script; others: silence the output
+# ----------------------------------------------------------------------------
+
+set -euf
+[ "${MVNW_VERBOSE-}" != debug ] || set -x
+
+# OS specific support.
+native_path() { printf %s\\n "$1"; }
+case "$(uname)" in
+CYGWIN* | MINGW*)
+  [ -z "${JAVA_HOME-}" ] || JAVA_HOME="$(cygpath --unix "$JAVA_HOME")"
+  native_path() { cygpath --path --windows "$1"; }
+  ;;
+esac
+
+# set JAVACMD and JAVACCMD
+set_java_home() {
+  # For Cygwin and MinGW, ensure paths are in Unix format before anything is touched
+  if [ -n "${JAVA_HOME-}" ]; then
+    if [ -x "$JAVA_HOME/jre/sh/java" ]; then
+      # IBM's JDK on AIX uses strange locations for the executables
+      JAVACMD="$JAVA_HOME/jre/sh/java"
+      JAVACCMD="$JAVA_HOME/jre/sh/javac"
+    else
+      JAVACMD="$JAVA_HOME/bin/java"
+      JAVACCMD="$JAVA_HOME/bin/javac"
+
+      if [ ! -x "$JAVACMD" ] || [ ! -x "$JAVACCMD" ]; then
+        echo "The JAVA_HOME environment variable is not defined correctly, so mvnw cannot run." >&2
+        echo "JAVA_HOME is set to \"$JAVA_HOME\", but \"\$JAVA_HOME/bin/java\" or \"\$JAVA_HOME/bin/javac\" does not exist." >&2
+        return 1
+      fi
+    fi
+  else
+    JAVACMD="$(
+      'set' +e
+      'unset' -f command 2>/dev/null
+      'command' -v java
+    )" || :
+    JAVACCMD="$(
+      'set' +e
+      'unset' -f command 2>/dev/null
+      'command' -v javac
+    )" || :
+
+    if [ ! -x "${JAVACMD-}" ] || [ ! -x "${JAVACCMD-}" ]; then
+      echo "The java/javac command does not exist in PATH nor is JAVA_HOME set, so mvnw cannot run." >&2
+      return 1
+    fi
+  fi
+}
+
+# hash string like Java String::hashCode
+hash_string() {
+  str="${1:-}" h=0
+  while [ -n "$str" ]; do
+    char="${str%"${str#?}"}"
+    h=$(((h * 31 + $(LC_CTYPE=C printf %d "'$char")) % 4294967296))
+    str="${str#?}"
+  done
+  printf %x\\n $h
+}
+
+verbose() { :; }
+[ "${MVNW_VERBOSE-}" != true ] || verbose() { printf %s\\n "${1-}"; }
+
+die() {
+  printf %s\\n "$1" >&2
+  exit 1
+}
+
+trim() {
+  # MWRAPPER-139:
+  #   Trims trailing and leading whitespace, carriage returns, tabs, and linefeeds.
+  #   Needed for removing poorly interpreted newline sequences when running in more
+  #   exotic environments such as mingw bash on Windows.
+  printf "%s" "${1}" | tr -d '[:space:]'
+}
+
+# parse distributionUrl and optional distributionSha256Sum, requires .mvn/wrapper/maven-wrapper.properties
+while IFS="=" read -r key value; do
+  case "${key-}" in
+  distributionUrl) distributionUrl=$(trim "${value-}") ;;
+  distributionSha256Sum) distributionSha256Sum=$(trim "${value-}") ;;
+  esac
+done <"${0%/*}/.mvn/wrapper/maven-wrapper.properties"
+[ -n "${distributionUrl-}" ] || die "cannot read distributionUrl property in ${0%/*}/.mvn/wrapper/maven-wrapper.properties"
+
+case "${distributionUrl##*/}" in
+maven-mvnd-*bin.*)
+  MVN_CMD=mvnd.sh _MVNW_REPO_PATTERN=/maven/mvnd/
+  case "${PROCESSOR_ARCHITECTURE-}${PROCESSOR_ARCHITEW6432-}:$(uname -a)" in
+  *AMD64:CYGWIN* | *AMD64:MINGW*) distributionPlatform=windows-amd64 ;;
+  :Darwin*x86_64) distributionPlatform=darwin-amd64 ;;
+  :Darwin*arm64) distributionPlatform=darwin-aarch64 ;;
+  :Linux*x86_64*) distributionPlatform=linux-amd64 ;;
+  *)
+    echo "Cannot detect native platform for mvnd on $(uname)-$(uname -m), use pure java version" >&2
+    distributionPlatform=linux-amd64
+    ;;
+  esac
+  distributionUrl="${distributionUrl%-bin.*}-$distributionPlatform.zip"
+  ;;
+maven-mvnd-*) MVN_CMD=mvnd.sh _MVNW_REPO_PATTERN=/maven/mvnd/ ;;
+*) MVN_CMD="mvn${0##*/mvnw}" _MVNW_REPO_PATTERN=/org/apache/maven/ ;;
+esac
+
+# apply MVNW_REPOURL and calculate MAVEN_HOME
+# maven home pattern: ~/.m2/wrapper/dists/{apache-maven-<version>,maven-mvnd-<version>-<platform>}/<hash>
+[ -z "${MVNW_REPOURL-}" ] || distributionUrl="$MVNW_REPOURL$_MVNW_REPO_PATTERN${distributionUrl#*"$_MVNW_REPO_PATTERN"}"
+distributionUrlName="${distributionUrl##*/}"
+distributionUrlNameMain="${distributionUrlName%.*}"
+distributionUrlNameMain="${distributionUrlNameMain%-bin}"
+MAVEN_USER_HOME="${MAVEN_USER_HOME:-${HOME}/.m2}"
+MAVEN_HOME="${MAVEN_USER_HOME}/wrapper/dists/${distributionUrlNameMain-}/$(hash_string "$distributionUrl")"
+
+exec_maven() {
+  unset MVNW_VERBOSE MVNW_USERNAME MVNW_PASSWORD MVNW_REPOURL || :
+  exec "$MAVEN_HOME/bin/$MVN_CMD" "$@" || die "cannot exec $MAVEN_HOME/bin/$MVN_CMD"
+}
+
+if [ -d "$MAVEN_HOME" ]; then
+  verbose "found existing MAVEN_HOME at $MAVEN_HOME"
+  exec_maven "$@"
+fi
+
+case "${distributionUrl-}" in
+*?-bin.zip | *?maven-mvnd-?*-?*.zip) ;;
+*) die "distributionUrl is not valid, must match *-bin.zip or maven-mvnd-*.zip, but found '${distributionUrl-}'" ;;
+esac
+
+# prepare tmp dir
+if TMP_DOWNLOAD_DIR="$(mktemp -d)" && [ -d "$TMP_DOWNLOAD_DIR" ]; then
+  clean() { rm -rf -- "$TMP_DOWNLOAD_DIR"; }
+  trap clean HUP INT TERM EXIT
+else
+  die "cannot create temp dir"
+fi
+
+mkdir -p -- "${MAVEN_HOME%/*}"
+
+# Download and Install Apache Maven
+verbose "Couldn't find MAVEN_HOME, downloading and installing it ..."
+verbose "Downloading from: $distributionUrl"
+verbose "Downloading to: $TMP_DOWNLOAD_DIR/$distributionUrlName"
+
+# select .zip or .tar.gz
+if ! command -v unzip >/dev/null; then
+  distributionUrl="${distributionUrl%.zip}.tar.gz"
+  distributionUrlName="${distributionUrl##*/}"
+fi
+
+# verbose opt
+__MVNW_QUIET_WGET=--quiet __MVNW_QUIET_CURL=--silent __MVNW_QUIET_UNZIP=-q __MVNW_QUIET_TAR=''
+[ "${MVNW_VERBOSE-}" != true ] || __MVNW_QUIET_WGET='' __MVNW_QUIET_CURL='' __MVNW_QUIET_UNZIP='' __MVNW_QUIET_TAR=v
+
+# normalize http auth
+case "${MVNW_PASSWORD:+has-password}" in
+'') MVNW_USERNAME='' MVNW_PASSWORD='' ;;
+has-password) [ -n "${MVNW_USERNAME-}" ] || MVNW_USERNAME='' MVNW_PASSWORD='' ;;
+esac
+
+if [ -z "${MVNW_USERNAME-}" ] && command -v wget >/dev/null; then
+  verbose "Found wget ... using wget"
+  wget ${__MVNW_QUIET_WGET:+"$__MVNW_QUIET_WGET"} "$distributionUrl" -O "$TMP_DOWNLOAD_DIR/$distributionUrlName" || die "wget: Failed to fetch $distributionUrl"
+elif [ -z "${MVNW_USERNAME-}" ] && command -v curl >/dev/null; then
+  verbose "Found curl ... using curl"
+  curl ${__MVNW_QUIET_CURL:+"$__MVNW_QUIET_CURL"} -f -L -o "$TMP_DOWNLOAD_DIR/$distributionUrlName" "$distributionUrl" || die "curl: Failed to fetch $distributionUrl"
+elif set_java_home; then
+  verbose "Falling back to use Java to download"
+  javaSource="$TMP_DOWNLOAD_DIR/Downloader.java"
+  targetZip="$TMP_DOWNLOAD_DIR/$distributionUrlName"
+  cat >"$javaSource" <<-END
+	public class Downloader extends java.net.Authenticator
+	{
+	  protected java.net.PasswordAuthentication getPasswordAuthentication()
+	  {
+	    return new java.net.PasswordAuthentication( System.getenv( "MVNW_USERNAME" ), System.getenv( "MVNW_PASSWORD" ).toCharArray() );
+	  }
+	  public static void main( String[] args ) throws Exception
+	  {
+	    setDefault( new Downloader() );
+	    java.nio.file.Files.copy( java.net.URI.create( args[0] ).toURL().openStream(), java.nio.file.Paths.get( args[1] ).toAbsolutePath().normalize() );
+	  }
+	}
+	END
+  # For Cygwin/MinGW, switch paths to Windows format before running javac and java
+  verbose " - Compiling Downloader.java ..."
+  "$(native_path "$JAVACCMD")" "$(native_path "$javaSource")" || die "Failed to compile Downloader.java"
+  verbose " - Running Downloader.java ..."
+  "$(native_path "$JAVACMD")" -cp "$(native_path "$TMP_DOWNLOAD_DIR")" Downloader "$distributionUrl" "$(native_path "$targetZip")"
+fi
+
+# If specified, validate the SHA-256 sum of the Maven distribution zip file
+if [ -n "${distributionSha256Sum-}" ]; then
+  distributionSha256Result=false
+  if [ "$MVN_CMD" = mvnd.sh ]; then
+    echo "Checksum validation is not supported for maven-mvnd." >&2
+    echo "Please disable validation by removing 'distributionSha256Sum' from your maven-wrapper.properties." >&2
+    exit 1
+  elif command -v sha256sum >/dev/null; then
+    if echo "$distributionSha256Sum  $TMP_DOWNLOAD_DIR/$distributionUrlName" | sha256sum -c >/dev/null 2>&1; then
+      distributionSha256Result=true
+    fi
+  elif command -v shasum >/dev/null; then
+    if echo "$distributionSha256Sum  $TMP_DOWNLOAD_DIR/$distributionUrlName" | shasum -a 256 -c >/dev/null 2>&1; then
+      distributionSha256Result=true
+    fi
+  else
+    echo "Checksum validation was requested but neither 'sha256sum' or 'shasum' are available." >&2
+    echo "Please install either command, or disable validation by removing 'distributionSha256Sum' from your maven-wrapper.properties." >&2
+    exit 1
+  fi
+  if [ $distributionSha256Result = false ]; then
+    echo "Error: Failed to validate Maven distribution SHA-256, your Maven distribution might be compromised." >&2
+    echo "If you updated your Maven version, you need to update the specified distributionSha256Sum property." >&2
+    exit 1
+  fi
+fi
+
+# unzip and move
+if command -v unzip >/dev/null; then
+  unzip ${__MVNW_QUIET_UNZIP:+"$__MVNW_QUIET_UNZIP"} "$TMP_DOWNLOAD_DIR/$distributionUrlName" -d "$TMP_DOWNLOAD_DIR" || die "failed to unzip"
+else
+  tar xzf${__MVNW_QUIET_TAR:+"$__MVNW_QUIET_TAR"} "$TMP_DOWNLOAD_DIR/$distributionUrlName" -C "$TMP_DOWNLOAD_DIR" || die "failed to untar"
+fi
+printf %s\\n "$distributionUrl" >"$TMP_DOWNLOAD_DIR/$distributionUrlNameMain/mvnw.url"
+mv -- "$TMP_DOWNLOAD_DIR/$distributionUrlNameMain" "$MAVEN_HOME" || [ -d "$MAVEN_HOME" ] || die "fail to move MAVEN_HOME"
+
+clean || :
+exec_maven "$@"

mvnw.cmd

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+<# : batch portion
+@REM ----------------------------------------------------------------------------
+@REM Licensed to the Apache Software Foundation (ASF) under one
+@REM or more contributor license agreements.  See the NOTICE file
+@REM distributed with this work for additional information
+@REM regarding copyright ownership.  The ASF licenses this file
+@REM to you under the Apache License, Version 2.0 (the
+@REM "License"); you may not use this file except in compliance
+@REM with the License.  You may obtain a copy of the License at
+@REM
+@REM    http://www.apache.org/licenses/LICENSE-2.0
+@REM
+@REM Unless required by applicable law or agreed to in writing,
+@REM software distributed under the License is distributed on an
+@REM "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+@REM KIND, either express or implied.  See the License for the
+@REM specific language governing permissions and limitations
+@REM under the License.
+@REM ----------------------------------------------------------------------------
+
+@REM ----------------------------------------------------------------------------
+@REM Apache Maven Wrapper startup batch script, version 3.3.2
+@REM
+@REM Optional ENV vars
+@REM   MVNW_REPOURL - repo url base for downloading maven distribution
+@REM   MVNW_USERNAME/MVNW_PASSWORD - user and password for downloading maven
+@REM   MVNW_VERBOSE - true: enable verbose log; others: silence the output
+@REM ----------------------------------------------------------------------------
+
+@IF "%__MVNW_ARG0_NAME__%"=="" (SET __MVNW_ARG0_NAME__=%~nx0)
+@SET __MVNW_CMD__=
+@SET __MVNW_ERROR__=
+@SET __MVNW_PSMODULEP_SAVE=%PSModulePath%
+@SET PSModulePath=
+@FOR /F "usebackq tokens=1* delims==" %%A IN (`powershell -noprofile "& {$scriptDir='%~dp0'; $script='%__MVNW_ARG0_NAME__%'; icm -ScriptBlock ([Scriptblock]::Create((Get-Content -Raw '%~f0'))) -NoNewScope}"`) DO @(
+  IF "%%A"=="MVN_CMD" (set __MVNW_CMD__=%%B) ELSE IF "%%B"=="" (echo %%A) ELSE (echo %%A=%%B)
+)
+@SET PSModulePath=%__MVNW_PSMODULEP_SAVE%
+@SET __MVNW_PSMODULEP_SAVE=
+@SET __MVNW_ARG0_NAME__=
+@SET MVNW_USERNAME=
+@SET MVNW_PASSWORD=
+@IF NOT "%__MVNW_CMD__%"=="" (%__MVNW_CMD__% %*)
+@echo Cannot start maven from wrapper >&2 && exit /b 1
+@GOTO :EOF
+: end batch / begin powershell #>
+
+$ErrorActionPreference = "Stop"
+if ($env:MVNW_VERBOSE -eq "true") {
+  $VerbosePreference = "Continue"
+}
+
+# calculate distributionUrl, requires .mvn/wrapper/maven-wrapper.properties
+$distributionUrl = (Get-Content -Raw "$scriptDir/.mvn/wrapper/maven-wrapper.properties" | ConvertFrom-StringData).distributionUrl
+if (!$distributionUrl) {
+  Write-Error "cannot read distributionUrl property in $scriptDir/.mvn/wrapper/maven-wrapper.properties"
+}
+
+switch -wildcard -casesensitive ( $($distributionUrl -replace '^.*/','') ) {
+  "maven-mvnd-*" {
+    $USE_MVND = $true
+    $distributionUrl = $distributionUrl -replace '-bin\.[^.]*$',"-windows-amd64.zip"
+    $MVN_CMD = "mvnd.cmd"
+    break
+  }
+  default {
+    $USE_MVND = $false
+    $MVN_CMD = $script -replace '^mvnw','mvn'
+    break
+  }
+}
+
+# apply MVNW_REPOURL and calculate MAVEN_HOME
+# maven home pattern: ~/.m2/wrapper/dists/{apache-maven-<version>,maven-mvnd-<version>-<platform>}/<hash>
+if ($env:MVNW_REPOURL) {
+  $MVNW_REPO_PATTERN = if ($USE_MVND) { "/org/apache/maven/" } else { "/maven/mvnd/" }
+  $distributionUrl = "$env:MVNW_REPOURL$MVNW_REPO_PATTERN$($distributionUrl -replace '^.*'+$MVNW_REPO_PATTERN,'')"
+}
+$distributionUrlName = $distributionUrl -replace '^.*/',''
+$distributionUrlNameMain = $distributionUrlName -replace '\.[^.]*$','' -replace '-bin$',''
+$MAVEN_HOME_PARENT = "$HOME/.m2/wrapper/dists/$distributionUrlNameMain"
+if ($env:MAVEN_USER_HOME) {
+  $MAVEN_HOME_PARENT = "$env:MAVEN_USER_HOME/wrapper/dists/$distributionUrlNameMain"
+}
+$MAVEN_HOME_NAME = ([System.Security.Cryptography.MD5]::Create().ComputeHash([byte[]][char[]]$distributionUrl) | ForEach-Object {$_.ToString("x2")}) -join ''
+$MAVEN_HOME = "$MAVEN_HOME_PARENT/$MAVEN_HOME_NAME"
+
+if (Test-Path -Path "$MAVEN_HOME" -PathType Container) {
+  Write-Verbose "found existing MAVEN_HOME at $MAVEN_HOME"
+  Write-Output "MVN_CMD=$MAVEN_HOME/bin/$MVN_CMD"
+  exit $?
+}
+
+if (! $distributionUrlNameMain -or ($distributionUrlName -eq $distributionUrlNameMain)) {
+  Write-Error "distributionUrl is not valid, must end with *-bin.zip, but found $distributionUrl"
+}
+
+# prepare tmp dir
+$TMP_DOWNLOAD_DIR_HOLDER = New-TemporaryFile
+$TMP_DOWNLOAD_DIR = New-Item -Itemtype Directory -Path "$TMP_DOWNLOAD_DIR_HOLDER.dir"
+$TMP_DOWNLOAD_DIR_HOLDER.Delete() | Out-Null
+trap {
+  if ($TMP_DOWNLOAD_DIR.Exists) {
+    try { Remove-Item $TMP_DOWNLOAD_DIR -Recurse -Force | Out-Null }
+    catch { Write-Warning "Cannot remove $TMP_DOWNLOAD_DIR" }
+  }
+}
+
+New-Item -Itemtype Directory -Path "$MAVEN_HOME_PARENT" -Force | Out-Null
+
+# Download and Install Apache Maven
+Write-Verbose "Couldn't find MAVEN_HOME, downloading and installing it ..."
+Write-Verbose "Downloading from: $distributionUrl"
+Write-Verbose "Downloading to: $TMP_DOWNLOAD_DIR/$distributionUrlName"
+
+$webclient = New-Object System.Net.WebClient
+if ($env:MVNW_USERNAME -and $env:MVNW_PASSWORD) {
+  $webclient.Credentials = New-Object System.Net.NetworkCredential($env:MVNW_USERNAME, $env:MVNW_PASSWORD)
+}
+[Net.ServicePointManager]::SecurityProtocol = [Net.SecurityProtocolType]::Tls12
+$webclient.DownloadFile($distributionUrl, "$TMP_DOWNLOAD_DIR/$distributionUrlName") | Out-Null
+
+# If specified, validate the SHA-256 sum of the Maven distribution zip file
+$distributionSha256Sum = (Get-Content -Raw "$scriptDir/.mvn/wrapper/maven-wrapper.properties" | ConvertFrom-StringData).distributionSha256Sum
+if ($distributionSha256Sum) {
+  if ($USE_MVND) {
+    Write-Error "Checksum validation is not supported for maven-mvnd. `nPlease disable validation by removing 'distributionSha256Sum' from your maven-wrapper.properties."
+  }
+  Import-Module $PSHOME\Modules\Microsoft.PowerShell.Utility -Function Get-FileHash
+  if ((Get-FileHash "$TMP_DOWNLOAD_DIR/$distributionUrlName" -Algorithm SHA256).Hash.ToLower() -ne $distributionSha256Sum) {
+    Write-Error "Error: Failed to validate Maven distribution SHA-256, your Maven distribution might be compromised. If you updated your Maven version, you need to update the specified distributionSha256Sum property."
+  }
+}
+
+# unzip and move
+Expand-Archive "$TMP_DOWNLOAD_DIR/$distributionUrlName" -DestinationPath "$TMP_DOWNLOAD_DIR" | Out-Null
+Rename-Item -Path "$TMP_DOWNLOAD_DIR/$distributionUrlNameMain" -NewName $MAVEN_HOME_NAME | Out-Null
+try {
+  Move-Item -Path "$TMP_DOWNLOAD_DIR/$MAVEN_HOME_NAME" -Destination $MAVEN_HOME_PARENT | Out-Null
+} catch {
+  if (! (Test-Path -Path "$MAVEN_HOME" -PathType Container)) {
+    Write-Error "fail to move MAVEN_HOME"
+  }
+} finally {
+  try { Remove-Item $TMP_DOWNLOAD_DIR -Recurse -Force | Out-Null }
+  catch { Write-Warning "Cannot remove $TMP_DOWNLOAD_DIR" }
+}
+
+Write-Output "MVN_CMD=$MAVEN_HOME/bin/$MVN_CMD"

pom.xml

@@ -0,0 +1,360 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
+
+    <modelVersion>4.0.0</modelVersion>
+
+    <parent>
+        <groupId>org.springframework.boot</groupId>
+        <artifactId>spring-boot-starter-parent</artifactId>
+        <version>3.2.5</version> <!-- 안정적인 버전으로 변경 -->
+        <relativePath/>
+    </parent>
+
+    <groupId>gc.mda</groupId>
+    <artifactId>signal_batch</artifactId>
+    <version>1.0.0</version>
+    <packaging>jar</packaging>
+
+    <name>signal_batch</name>
+    <description>Vessel Signal Batch Aggregation System</description>
+
+    <properties>
+        <java.version>17</java.version>
+        <maven.compiler.source>17</maven.compiler.source>
+        <maven.compiler.target>17</maven.compiler.target>
+        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
+
+        <!-- 데이터베이스 관련 -->
+        <postgresql.version>42.5.6</postgresql.version>
+        <postgis-jdbc.version>2023.1.0</postgis-jdbc.version>
+        <hikaricp.version>5.1.0</hikaricp.version>
+
+        <!-- Spring Batch -->
+        <spring-batch.version>5.1.1</spring-batch.version>
+
+        <!-- 유틸리티 -->
+        <guava.version>33.2.0-jre</guava.version>
+        <commons-lang3.version>3.14.0</commons-lang3.version>
+        <jackson.version>2.17.0</jackson.version>
+
+        <!-- 모니터링 -->
+        <micrometer.version>1.12.5</micrometer.version>
+
+        <!-- 테스트 -->
+        <testcontainers.version>1.19.8</testcontainers.version>
+    </properties>
+
+    <dependencies>
+        <!-- Spring Boot Starters -->
+        <dependency>
+            <groupId>org.springframework.boot</groupId>
+            <artifactId>spring-boot-starter-batch</artifactId>
+        </dependency>
+
+        <dependency>
+            <groupId>org.springframework.boot</groupId>
+            <artifactId>spring-boot-starter-jdbc</artifactId>
+        </dependency>
+
+        <dependency>
+            <groupId>org.springframework.boot</groupId>
+            <artifactId>spring-boot-starter-web</artifactId>
+        </dependency>
+
+        <dependency>
+            <groupId>org.springframework.boot</groupId>
+            <artifactId>spring-boot-starter-actuator</artifactId>
+        </dependency>
+
+        <dependency>
+            <groupId>org.springframework.boot</groupId>
+            <artifactId>spring-boot-starter-validation</artifactId>
+        </dependency>
+
+        <dependency>
+            <groupId>org.springframework.boot</groupId>
+            <artifactId>spring-boot-starter-aop</artifactId>
+        </dependency>
+
+        <dependency>
+            <groupId>org.springframework.boot</groupId>
+            <artifactId>spring-boot-starter-cache</artifactId>
+        </dependency>
+
+        <dependency>
+            <groupId>org.springframework.boot</groupId>
+            <artifactId>spring-boot-configuration-processor</artifactId>
+            <optional>true</optional>
+        </dependency>
+
+        <!-- WebSocket -->
+        <dependency>
+            <groupId>org.springframework.boot</groupId>
+            <artifactId>spring-boot-starter-websocket</artifactId>
+        </dependency>
+
+        <!-- Database -->
+        <dependency>
+            <groupId>org.postgresql</groupId>
+            <artifactId>postgresql</artifactId>
+            <version>${postgresql.version}</version>
+        </dependency>
+
+        <!-- PostGIS JDBC Extras (geometry 타입 처리용) -->
+        <dependency>
+            <groupId>net.postgis</groupId>
+            <artifactId>postgis-jdbc</artifactId>
+            <version>${postgis-jdbc.version}</version>
+            <scope>runtime</scope>
+            <exclusions>
+                <exclusion>
+                    <groupId>org.postgresql</groupId>
+                    <artifactId>postgresql</artifactId>
+                </exclusion>
+                <exclusion>
+                    <groupId>org.postgis</groupId>
+                    <artifactId>postgis-geometry</artifactId>
+                </exclusion>
+            </exclusions>
+        </dependency>
+
+        <!-- Connection Pool -->
+        <dependency>
+            <groupId>com.zaxxer</groupId>
+            <artifactId>HikariCP</artifactId>
+            <version>${hikaricp.version}</version>
+        </dependency>
+
+        <!-- Spring Batch Extensions -->
+        <dependency>
+            <groupId>org.springframework.batch</groupId>
+            <artifactId>spring-batch-integration</artifactId>
+        </dependency>
+
+        <!-- Spring Retry -->
+        <dependency>
+            <groupId>org.springframework.retry</groupId>
+            <artifactId>spring-retry</artifactId>
+        </dependency>
+
+        <!-- AspectJ -->
+        <dependency>
+            <groupId>org.aspectj</groupId>
+            <artifactId>aspectjweaver</artifactId>
+            <version>1.9.21</version>
+        </dependency>
+
+        <!-- Monitoring -->
+        <dependency>
+            <groupId>io.micrometer</groupId>
+            <artifactId>micrometer-registry-prometheus</artifactId>
+            <version>${micrometer.version}</version>
+        </dependency>
+
+        <dependency>
+            <groupId>io.micrometer</groupId>
+            <artifactId>micrometer-tracing-bridge-brave</artifactId>
+        </dependency>
+
+        <!-- Utilities -->
+        <dependency>
+            <groupId>org.projectlombok</groupId>
+            <artifactId>lombok</artifactId>
+            <version>1.18.32</version>
+            <scope>provided</scope>
+        </dependency>
+
+        <dependency>
+            <groupId>org.apache.commons</groupId>
+            <artifactId>commons-lang3</artifactId>
+            <version>${commons-lang3.version}</version>
+        </dependency>
+
+        <dependency>
+            <groupId>com.google.guava</groupId>
+            <artifactId>guava</artifactId>
+            <version>${guava.version}</version>
+        </dependency>
+
+        <!-- JSON Processing -->
+        <dependency>
+            <groupId>com.fasterxml.jackson.datatype</groupId>
+            <artifactId>jackson-datatype-jsr310</artifactId>
+            <version>${jackson.version}</version>
+        </dependency>
+
+        <dependency>
+            <groupId>com.fasterxml.jackson.module</groupId>
+            <artifactId>jackson-module-parameter-names</artifactId>
+            <version>${jackson.version}</version>
+        </dependency>
+
+        <!-- Spatial Libraries -->
+        <dependency>
+            <groupId>org.locationtech.jts</groupId>
+            <artifactId>jts-core</artifactId>
+            <version>1.19.0</version>
+        </dependency>
+
+        <dependency>
+            <groupId>org.locationtech.jts.io</groupId>
+            <artifactId>jts-io-common</artifactId>
+            <version>1.19.0</version>
+        </dependency>
+
+        <!-- Jakarta Validation -->
+        <dependency>
+            <groupId>jakarta.validation</groupId>
+            <artifactId>jakarta.validation-api</artifactId>
+            <version>3.0.2</version>
+        </dependency>
+
+        <!-- Caffeine Cache -->
+        <dependency>
+            <groupId>com.github.ben-manes.caffeine</groupId>
+            <artifactId>caffeine</artifactId>
+            <version>3.1.8</version>
+        </dependency>
+
+        <!-- Test Dependencies -->
+        <dependency>
+            <groupId>org.springframework.boot</groupId>
+            <artifactId>spring-boot-starter-test</artifactId>
+            <scope>test</scope>
+        </dependency>
+
+        <dependency>
+            <groupId>org.springframework.batch</groupId>
+            <artifactId>spring-batch-test</artifactId>
+            <scope>test</scope>
+        </dependency>
+
+        <!-- H2 Database for Testing -->
+        <dependency>
+            <groupId>com.h2database</groupId>
+            <artifactId>h2</artifactId>
+            <version>2.2.224</version>
+            <scope>test</scope>
+        </dependency>
+
+        <!-- JUnit 5 -->
+        <dependency>
+            <groupId>org.junit.jupiter</groupId>
+            <artifactId>junit-jupiter</artifactId>
+            <scope>test</scope>
+        </dependency>
+
+        <!-- Testcontainers -->
+        <dependency>
+            <groupId>org.testcontainers</groupId>
+            <artifactId>testcontainers</artifactId>
+            <version>${testcontainers.version}</version>
+            <scope>test</scope>
+        </dependency>
+
+        <dependency>
+            <groupId>org.testcontainers</groupId>
+            <artifactId>postgresql</artifactId>
+            <version>${testcontainers.version}</version>
+            <scope>test</scope>
+        </dependency>
+
+        <dependency>
+            <groupId>jakarta.annotation</groupId>
+            <artifactId>jakarta.annotation-api</artifactId>
+            <version>2.1.1</version>
+        </dependency>
+        
+        <!-- Swagger/OpenAPI 3 -->
+        <dependency>
+            <groupId>org.springdoc</groupId>
+            <artifactId>springdoc-openapi-starter-webmvc-ui</artifactId>
+            <version>2.3.0</version>
+        </dependency>
+    </dependencies>
+
+    <build>
+        <finalName>vessel-batch-aggregation</finalName>
+        <plugins>
+            <plugin>
+                <groupId>org.springframework.boot</groupId>
+                <artifactId>spring-boot-maven-plugin</artifactId>
+                <configuration>
+                    <excludes>
+                        <exclude>
+                            <groupId>org.projectlombok</groupId>
+                            <artifactId>lombok</artifactId>
+                        </exclude>
+                    </excludes>
+                </configuration>
+                <executions>
+                    <execution>
+                        <goals>
+                            <goal>repackage</goal>
+                        </goals>
+                    </execution>
+                </executions>
+            </plugin>
+
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-compiler-plugin</artifactId>
+                <version>3.13.0</version>
+                <configuration>
+                    <source>17</source>
+                    <target>17</target>
+                    <annotationProcessorPaths>
+                        <path>
+                            <groupId>org.projectlombok</groupId>
+                            <artifactId>lombok</artifactId>
+                            <version>1.18.32</version>
+                        </path>
+                        <path>
+                            <groupId>org.springframework.boot</groupId>
+                            <artifactId>spring-boot-configuration-processor</artifactId>
+                            <version>3.2.5</version>
+                        </path>
+                    </annotationProcessorPaths>
+                </configuration>
+            </plugin>
+
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-surefire-plugin</artifactId>
+                <version>3.2.5</version>
+                <configuration>
+                    <argLine>-Xmx2048m -Xms1024m</argLine>
+                </configuration>
+            </plugin>
+        </plugins>
+    </build>
+
+    <repositories>
+        <repository>
+            <id>central</id>
+            <url>https://repo.maven.apache.org/maven2</url>
+        </repository>
+        <repository>
+            <id>spring-milestones</id>
+            <url>https://repo.spring.io/milestone</url>
+        </repository>
+    </repositories>
+
+    <pluginRepositories>
+        <pluginRepository>
+            <id>spring-milestones</id>
+            <url>https://repo.spring.io/milestone</url>
+        </pluginRepository>
+    </pluginRepositories>
+
+    <profiles>
+        <profile>
+            <id>skip-tests</id>
+            <properties>
+                <maven.test.skip>true</maven.test.skip>
+            </properties>
+        </profile>
+    </profiles>
+
+</project>

src/main/java/gc/mda/signal_batch/BatchCommandLineRunner.java

@@ -0,0 +1,58 @@
+package gc.mda.signal_batch;
+
+import gc.mda.signal_batch.global.util.BatchUtils;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.core.Job;
+import org.springframework.batch.core.JobExecution;
+import org.springframework.batch.core.JobParameters;
+import org.springframework.batch.core.launch.JobLauncher;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.boot.CommandLineRunner;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.context.annotation.Profile;
+import org.springframework.stereotype.Component;
+
+import java.time.LocalDateTime;
+
+@Slf4j
+@Component
+@Profile({"!test", "!query"})  // 테스트 환경과 query 프로파일에서는 실행하지 않음
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+@RequiredArgsConstructor
+public class BatchCommandLineRunner implements CommandLineRunner {
+
+    @Autowired
+    @Qualifier("asyncJobLauncher")  // 명시적으로 asyncJobLauncher 사용
+    private JobLauncher jobLauncher;
+
+    @Autowired
+    @Qualifier("vesselAggregationJob")
+    private Job vesselAggregationJob;
+
+    private final BatchUtils batchUtils;
+
+    @Override
+    public void run(String... args) throws Exception {
+        // 명령행 인자로 배치 실행
+        if (args.length > 0 && "run".equals(args[0])) {
+            LocalDateTime endTime = LocalDateTime.now();
+            LocalDateTime startTime = endTime.minusHours(1);
+
+            if (args.length > 2) {
+                startTime = LocalDateTime.parse(args[1]);
+                endTime = LocalDateTime.parse(args[2]);
+            }
+
+            log.info("Running batch job from {} to {}", startTime, endTime);
+
+            JobParameters params = batchUtils.createJobParameters(startTime, endTime);
+            JobExecution execution = jobLauncher.run(vesselAggregationJob, params);
+
+            log.info("Batch job completed: {}", execution.getStatus());
+        } else {
+            log.info("Batch application started. Use 'run' argument to execute job immediately.");
+        }
+    }
+}

src/main/java/gc/mda/signal_batch/SignalBatchApplication.java

@@ -0,0 +1,21 @@
+package gc.mda.signal_batch;
+
+import org.springframework.boot.SpringApplication;
+import org.springframework.boot.autoconfigure.SpringBootApplication;
+
+@SpringBootApplication
+public class SignalBatchApplication {
+
+    public static void main(String[] args) {
+        // JVM 기본 시간대를 KST로 설정 (DB 데이터와 일치)
+        System.setProperty("user.timezone", "Asia/Seoul");
+        java.util.TimeZone.setDefault(java.util.TimeZone.getTimeZone("Asia/Seoul"));
+        
+        // 중요: PostgreSQL JDBC 드라이버가 timestamp를 올바르게 처리하도록 설정
+        // timestamp (without time zone) 타입을 LocalDateTime으로 매핑
+        System.setProperty("jdbc.timestamp.tz", "false");
+        
+        SpringApplication.run(SignalBatchApplication.class, args);
+    }
+
+}

src/main/java/gc/mda/signal_batch/batch/job/AreaStatisticsStepConfig.java

@@ -0,0 +1,220 @@
+package gc.mda.signal_batch.batch.job;
+
+import gc.mda.signal_batch.domain.vessel.model.VesselData;
+import gc.mda.signal_batch.batch.processor.AccumulatingAreaProcessor;
+import gc.mda.signal_batch.batch.processor.AreaStatisticsProcessor;
+import gc.mda.signal_batch.batch.processor.AreaStatisticsProcessor.AreaStatistics;
+import gc.mda.signal_batch.batch.reader.InMemoryVesselDataReader;
+import gc.mda.signal_batch.batch.reader.PartitionedReader;
+import gc.mda.signal_batch.batch.reader.VesselDataReader;
+import gc.mda.signal_batch.batch.writer.UpsertWriter;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.core.Step;
+import org.springframework.batch.core.ExitStatus;
+import org.springframework.batch.core.StepExecution;
+import org.springframework.batch.core.StepExecutionListener;
+import org.springframework.batch.core.configuration.annotation.StepScope;
+import org.springframework.batch.core.partition.support.TaskExecutorPartitionHandler;
+import org.springframework.batch.core.repository.JobRepository;
+import org.springframework.batch.core.step.builder.StepBuilder;
+import org.springframework.batch.item.Chunk;
+import org.springframework.batch.item.ItemReader;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.context.ApplicationContext;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.context.annotation.Profile;
+import org.springframework.core.task.TaskExecutor;
+import org.springframework.transaction.PlatformTransactionManager;
+
+import java.time.LocalDateTime;
+import java.util.List;
+
+
+@Slf4j
+@Configuration
+@Profile("!query")  // query 프로파일에서는 배치 작업 비활성화
+@RequiredArgsConstructor
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class AreaStatisticsStepConfig {
+
+    private final JobRepository jobRepository;
+    private final PlatformTransactionManager queryTransactionManager;
+    private final VesselDataReader vesselDataReader;
+
+    private final AccumulatingAreaProcessor accumulatingAreaProcessor;
+    private final AreaStatisticsProcessor areaStatisticsProcessor;
+    private final UpsertWriter upsertWriter;
+    private final PartitionedReader partitionedReader;
+    private final ApplicationContext applicationContext;
+    
+    @Value("${vessel.batch.area-statistics.chunk-size:1000}")
+    private int areaChunkSize;
+    
+    @Value("${vessel.batch.area-statistics.batch-size:500}")
+    private int areaBatchSize;
+
+    @Qualifier("batchTaskExecutor")
+    private final TaskExecutor batchTaskExecutor;
+
+    @Qualifier("partitionTaskExecutor")
+    private final TaskExecutor partitionTaskExecutor;
+
+    @Bean
+    public Step aggregateAreaStatisticsStep() {
+        // InMemoryVesselDataReader를 ApplicationContext에서 가져옴
+        InMemoryVesselDataReader inMemoryReader = applicationContext.getBean(InMemoryVesselDataReader.class);
+        
+        return new StepBuilder("aggregateAreaStatisticsStep", jobRepository)
+                .<VesselData, AreaStatistics>chunk(areaChunkSize, queryTransactionManager)
+                .reader(inMemoryReader)  // 메모리 기반 Reader 사용
+                .processor(accumulatingAreaProcessor)
+                .writer(items -> {}) // 빈 writer, 실제 저장은 listener에서
+                .listener(areaStatisticsStepListener())
+                .faultTolerant()
+                .skipLimit(100)
+                .skip(Exception.class)
+                .build();
+    }
+
+    @Bean
+    public Step partitionedAreaStatisticsStep() {
+        return new StepBuilder("partitionedAreaStatisticsStep", jobRepository)
+                .partitioner("areaStatisticsPartitioner", partitionedReader.dayPartitioner(null))
+                .partitionHandler(areaStatisticsPartitionHandler())
+                .build();
+    }
+
+    @Bean
+    public TaskExecutorPartitionHandler areaStatisticsPartitionHandler() {
+        TaskExecutorPartitionHandler handler = new TaskExecutorPartitionHandler();
+        handler.setTaskExecutor(partitionTaskExecutor);
+        handler.setStep(areaStatisticsSlaveStep());
+        handler.setGridSize(24);
+        return handler;
+    }
+
+    @Bean
+    public Step areaStatisticsSlaveStep() {
+        return new StepBuilder("areaStatisticsSlaveStep", jobRepository)
+                .<List<VesselData>, List<AreaStatistics>>chunk(50, queryTransactionManager)
+                .reader(slaveAreaBatchVesselDataReader(null, null, null))
+                .processor(areaStatisticsProcessor.batchProcessor())
+                .writer(upsertWriter.areaStatisticsWriter())
+                .faultTolerant()
+                .skipLimit(100)
+                .skip(Exception.class)
+                .build();
+    }
+
+    @Bean
+    @StepScope
+    public ItemReader<VesselData> areaVesselDataReader(
+            @Value("#{jobParameters['startTime']}") String startTimeStr,
+            @Value("#{jobParameters['endTime']}") String endTimeStr) {
+        return new ItemReader<VesselData>() {
+            private ItemReader<VesselData> delegate;
+            private boolean initialized = false;
+
+            @Override
+            public VesselData read() throws Exception {
+                if (!initialized) {
+                    LocalDateTime startTime = startTimeStr != null ? LocalDateTime.parse(startTimeStr) : null;
+                    LocalDateTime endTime = endTimeStr != null ? LocalDateTime.parse(endTimeStr) : null;
+                    
+                    // 기존 reader close
+                    if (delegate != null) {
+                        try {
+                            ((org.springframework.batch.item.ItemStream) delegate).close();
+                        } catch (Exception e) {
+                            log.debug("Failed to close previous reader: {}", e.getMessage());
+                        }
+                    }
+                    
+                    // 최신 위치만 사용
+                    delegate = vesselDataReader.vesselLatestPositionReader(startTime, endTime, null);
+                    ((org.springframework.batch.item.ItemStream) delegate).open(
+                            org.springframework.batch.core.scope.context.StepSynchronizationManager
+                                    .getContext().getStepExecution().getExecutionContext());
+                    initialized = true;
+                }
+                
+                VesselData data = delegate.read();
+                
+                // Reader 종료 시 close
+                if (data == null && delegate != null) {
+                    try {
+                        ((org.springframework.batch.item.ItemStream) delegate).close();
+                        delegate = null;
+                        initialized = false;
+                    } catch (Exception e) {
+                        log.debug("Failed to close reader on completion: {}", e.getMessage());
+                    }
+                }
+                
+                return data;
+            }
+        };
+    }
+
+    @Bean
+    @StepScope
+    public ItemReader<List<VesselData>> slaveAreaBatchVesselDataReader(
+            @Value("#{stepExecutionContext['startTime']}") String startTime,
+            @Value("#{stepExecutionContext['endTime']}") String endTime,
+            @Value("#{stepExecutionContext['partition']}") String partition) {
+
+        return new ItemReader<List<VesselData>>() {
+            private ItemReader<VesselData> delegate = vesselDataReader.vesselDataPagingReader(
+                    startTime != null ? LocalDateTime.parse(startTime) : null,
+                    endTime != null ? LocalDateTime.parse(endTime) : null,
+                    partition
+            );
+
+            @Override
+            public List<VesselData> read() throws Exception {
+                List<VesselData> batch = new java.util.ArrayList<>();
+
+                for (int i = 0; i < areaBatchSize; i++) {
+                    VesselData item = delegate.read();
+                    if (item == null) {
+                        break;
+                    }
+                    batch.add(item);
+                }
+
+                return batch.isEmpty() ? null : batch;
+            }
+        };
+    }
+    
+    @Bean
+    public StepExecutionListener areaStatisticsStepListener() {
+        return new StepExecutionListener() {
+            @Override
+            public ExitStatus afterStep(StepExecution stepExecution) {
+                // 누적된 데이터를 DB에 저장
+                @SuppressWarnings("unchecked")
+                List<AreaStatistics> statistics = (List<AreaStatistics>) 
+                    stepExecution.getExecutionContext().get("areaStatistics");
+                
+                if (statistics != null && !statistics.isEmpty()) {
+                    try {
+                        upsertWriter.areaStatisticsWriter().write(
+                            new Chunk<>(List.of(statistics))
+                        );
+                        
+                        log.info("Successfully wrote {} area statistics", statistics.size());
+                    } catch (Exception e) {
+                        log.error("Failed to write area statistics", e);
+                        throw new RuntimeException(e);
+                    }
+                }
+                return stepExecution.getExitStatus();
+            }
+        };
+    }
+}

src/main/java/gc/mda/signal_batch/batch/job/DailyAggregationJobConfig.java

@@ -0,0 +1,47 @@
+package gc.mda.signal_batch.batch.job;
+
+import gc.mda.signal_batch.batch.listener.JobCompletionListener;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.core.Job;
+import org.springframework.batch.core.JobParametersValidator;
+import org.springframework.batch.core.job.DefaultJobParametersValidator;
+import org.springframework.batch.core.job.builder.JobBuilder;
+import org.springframework.batch.core.launch.support.RunIdIncrementer;
+import org.springframework.batch.core.repository.JobRepository;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.context.annotation.Profile;
+
+@Slf4j
+@Configuration
+@Profile("!query")  // query 프로파일에서는 배치 작업 비활성화
+@RequiredArgsConstructor
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class DailyAggregationJobConfig {
+    
+    private final JobRepository jobRepository;
+    private final DailyAggregationStepConfig dailyAggregationStepConfig;
+    private final JobCompletionListener jobCompletionListener;
+    
+    @Bean
+    public Job dailyAggregationJob() {
+        return new JobBuilder("dailyAggregationJob", jobRepository)
+                .incrementer(new RunIdIncrementer())
+                .validator(dailyJobParametersValidator())
+                .listener(jobCompletionListener)
+                .start(dailyAggregationStepConfig.mergeDailyTracksStep())
+                .next(dailyAggregationStepConfig.gridDailySummaryStep())
+                .next(dailyAggregationStepConfig.areaDailySummaryStep())
+                .build();
+    }
+    
+    @Bean
+    public JobParametersValidator dailyJobParametersValidator() {
+        DefaultJobParametersValidator validator = new DefaultJobParametersValidator();
+        validator.setRequiredKeys(new String[]{"startTime", "endTime", "timeBucket"});
+        validator.setOptionalKeys(new String[]{"executionTime", "enableAbnormalDetection"});
+        return validator;
+    }
+}

src/main/java/gc/mda/signal_batch/batch/job/DailyAggregationStepConfig.java

@@ -0,0 +1,365 @@
+package gc.mda.signal_batch.batch.job;
+
+import gc.mda.signal_batch.domain.vessel.model.VesselTrack;
+import gc.mda.signal_batch.batch.processor.DailyTrackProcessor;
+import gc.mda.signal_batch.batch.processor.DailyTrackProcessorWithAbnormalDetection;
+import gc.mda.signal_batch.batch.processor.AbnormalTrackDetector;
+import gc.mda.signal_batch.batch.processor.AbnormalTrackDetector.AbnormalDetectionResult;
+import gc.mda.signal_batch.batch.writer.VesselTrackBulkWriter;
+import gc.mda.signal_batch.batch.writer.AbnormalTrackWriter;
+import gc.mda.signal_batch.batch.writer.CompositeTrackWriter;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.core.Step;
+import org.springframework.batch.core.configuration.annotation.StepScope;
+import org.springframework.batch.core.repository.JobRepository;
+import org.springframework.batch.core.step.builder.StepBuilder;
+import org.springframework.batch.item.ItemProcessor;
+import org.springframework.batch.item.ItemWriter;
+import org.springframework.batch.item.database.JdbcCursorItemReader;
+import org.springframework.batch.item.database.builder.JdbcCursorItemReaderBuilder;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.context.annotation.Profile;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.transaction.PlatformTransactionManager;
+
+import javax.sql.DataSource;
+import java.time.LocalDateTime;
+import java.util.ArrayList;
+import java.util.List;
+
+@Slf4j
+@Configuration
+@Profile("!query")  // query 프로파일에서는 배치 작업 비활성화
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class DailyAggregationStepConfig {
+
+    private final JobRepository jobRepository;
+    private final DataSource queryDataSource;
+    private final PlatformTransactionManager transactionManager;
+    private final VesselTrackBulkWriter vesselTrackBulkWriter;
+    private final AbnormalTrackWriter abnormalTrackWriter;
+    private final AbnormalTrackDetector abnormalTrackDetector;
+
+    public DailyAggregationStepConfig(
+            JobRepository jobRepository,
+            @Qualifier("queryDataSource") DataSource queryDataSource,
+            @Qualifier("queryTransactionManager") PlatformTransactionManager transactionManager,
+            VesselTrackBulkWriter vesselTrackBulkWriter,
+            AbnormalTrackWriter abnormalTrackWriter,
+            AbnormalTrackDetector abnormalTrackDetector) {
+        this.jobRepository = jobRepository;
+        this.queryDataSource = queryDataSource;
+        this.transactionManager = transactionManager;
+        this.vesselTrackBulkWriter = vesselTrackBulkWriter;
+        this.abnormalTrackWriter = abnormalTrackWriter;
+        this.abnormalTrackDetector = abnormalTrackDetector;
+    }
+    
+    @Value("${vessel.batch.chunk-size:5000}")
+    private int chunkSize;
+    
+    @Bean
+    public Step mergeDailyTracksStep() {
+        // 비정상 궤적 검출은 항상 활성화 (설정 파일로 제어)
+        boolean detectAbnormal = true;
+        
+        if (detectAbnormal) {
+            log.info("Building mergeDailyTracksStep with abnormal detection enabled");
+            return new StepBuilder("mergeDailyTracksStep", jobRepository)
+                    .<VesselTrack.VesselKey, AbnormalDetectionResult>chunk(chunkSize, transactionManager)
+                    .reader(dailyVesselKeyReader(null, null))
+                    .processor(dailyTrackProcessorWithAbnormalDetection())
+                    .writer(dailyCompositeTrackWriter())
+                    .build();
+        } else {
+            log.info("Building mergeDailyTracksStep without abnormal detection");
+            return new StepBuilder("mergeDailyTracksStep", jobRepository)
+                    .<VesselTrack.VesselKey, VesselTrack>chunk(chunkSize, transactionManager)
+                    .reader(dailyVesselKeyReader(null, null))
+                    .processor(dailyTrackItemProcessor())
+                    .writer(dailyTrackWriter())
+                    .build();
+        }
+    }
+    
+    @Bean
+    public Step gridDailySummaryStep() {
+        return new StepBuilder("gridDailySummaryStep", jobRepository)
+                .<Integer, DailyGridSummary>chunk(100, transactionManager)
+                .reader(dailyGridReader(null, null))
+                .processor(dailyGridProcessor())
+                .writer(dailyGridWriter(null, null))
+                .build();
+    }
+    
+    @Bean
+    public Step areaDailySummaryStep() {
+        return new StepBuilder("areaDailySummaryStep", jobRepository)
+                .<String, DailyAreaSummary>chunk(100, transactionManager)
+                .reader(dailyAreaReader(null, null))
+                .processor(dailyAreaProcessor())
+                .writer(dailyAreaWriter(null, null))
+                .build();
+    }
+    
+    @Bean
+    @StepScope
+    public JdbcCursorItemReader<VesselTrack.VesselKey> dailyVesselKeyReader(
+            @Value("#{jobParameters['startTime']}") String startTime,
+            @Value("#{jobParameters['endTime']}") String endTime) {
+        
+        LocalDateTime start = LocalDateTime.parse(startTime);
+        LocalDateTime end = LocalDateTime.parse(endTime);
+        
+        String sql = """
+            SELECT DISTINCT sig_src_cd, target_id, date_trunc('day', time_bucket) as day_bucket
+            FROM signal.t_vessel_tracks_hourly
+            WHERE time_bucket >= ? AND time_bucket < ?
+            ORDER BY sig_src_cd, target_id, day_bucket
+        """;
+        
+        return new JdbcCursorItemReaderBuilder<VesselTrack.VesselKey>()
+                .name("dailyVesselKeyReader")
+                .dataSource(queryDataSource)
+                .sql(sql)
+                .preparedStatementSetter(ps -> {
+                    ps.setTimestamp(1, java.sql.Timestamp.valueOf(start));
+                    ps.setTimestamp(2, java.sql.Timestamp.valueOf(end));
+                })
+                .rowMapper((rs, rowNum) -> new VesselTrack.VesselKey(
+                        rs.getString("sig_src_cd"),
+                        rs.getString("target_id"),
+                        rs.getObject("day_bucket", LocalDateTime.class)
+                ))
+                .build();
+    }
+    
+    @Bean
+    public ItemProcessor<VesselTrack.VesselKey, VesselTrack> dailyTrackItemProcessor() {
+        return new DailyTrackProcessor(queryDataSource, new JdbcTemplate(queryDataSource));
+    }
+    
+    @Bean
+    public ItemWriter<VesselTrack> dailyTrackWriter() {
+        return items -> {
+            List<VesselTrack> tracks = new ArrayList<>();
+            for (VesselTrack track : items) {
+                if (track != null) {
+                    tracks.add(track);
+                }
+            }
+            if (!tracks.isEmpty()) {
+                vesselTrackBulkWriter.writeDailyTracks(tracks);
+            }
+        };
+    }
+    
+    @Bean
+    @StepScope
+    public JdbcCursorItemReader<Integer> dailyGridReader(
+            @Value("#{jobParameters['startTime']}") String startTime,
+            @Value("#{jobParameters['endTime']}") String endTime) {
+        
+        LocalDateTime start = LocalDateTime.parse(startTime);
+        LocalDateTime end = LocalDateTime.parse(endTime);
+        
+        String sql = """
+            SELECT DISTINCT haegu_no
+            FROM signal.t_grid_tracks_summary_hourly
+            WHERE time_bucket >= ? AND time_bucket < ?
+            ORDER BY haegu_no
+        """;
+        
+        return new JdbcCursorItemReaderBuilder<Integer>()
+                .name("dailyGridReader")
+                .dataSource(queryDataSource)
+                .sql(sql)
+                .preparedStatementSetter(ps -> {
+                    ps.setTimestamp(1, java.sql.Timestamp.valueOf(start));
+                    ps.setTimestamp(2, java.sql.Timestamp.valueOf(end));
+                })
+                .rowMapper((rs, rowNum) -> rs.getInt("haegu_no"))
+                .build();
+    }
+    
+    @Bean
+    public ItemProcessor<Integer, DailyGridSummary> dailyGridProcessor() {
+        return haeguNo -> {
+            DailyGridSummary summary = new DailyGridSummary();
+            summary.haeguNo = haeguNo;
+            return summary;
+        };
+    }
+    
+    @Bean
+    @StepScope
+    public ItemWriter<DailyGridSummary> dailyGridWriter(
+            @Value("#{jobParameters['startTime']}") String startTime,
+            @Value("#{jobParameters['endTime']}") String endTime) {
+        
+        return items -> {
+            LocalDateTime start = LocalDateTime.parse(startTime);
+            LocalDateTime end = LocalDateTime.parse(endTime);
+            LocalDateTime dayBucket = start.withHour(0).withMinute(0).withSecond(0).withNano(0);
+            
+            JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+            
+            for (DailyGridSummary summary : items) {
+                if (summary == null) continue;
+                
+                String sql = """
+                    INSERT INTO signal.t_grid_tracks_summary_daily
+                    (haegu_no, time_bucket, total_vessels, total_distance_nm, avg_speed, vessel_list, created_at)
+                    SELECT 
+                        haegu_no,
+                        ?::timestamp as time_bucket,
+                        COUNT(DISTINCT vessel_key) as total_vessels,
+                        SUM(total_distance_nm) as total_distance_nm,
+                        AVG(avg_speed) as avg_speed,
+                        jsonb_agg(DISTINCT vessel_list) as vessel_list,
+                        NOW()
+                    FROM (
+                        SELECT haegu_no, jsonb_array_elements(vessel_list) as vessel_list,
+                               total_distance_nm, avg_speed,
+                               (vessel_list->>'sig_src_cd') || '_' || (vessel_list->>'target_id') as vessel_key
+                        FROM signal.t_grid_tracks_summary_hourly
+                        WHERE haegu_no = ?
+                            AND time_bucket >= ?
+                            AND time_bucket < ?
+                    ) hourly_data
+                    GROUP BY haegu_no
+                    ON CONFLICT (haegu_no, time_bucket) DO UPDATE SET
+                        total_vessels = EXCLUDED.total_vessels,
+                        total_distance_nm = EXCLUDED.total_distance_nm,
+                        avg_speed = EXCLUDED.avg_speed,
+                        vessel_list = EXCLUDED.vessel_list,
+                        created_at = NOW()
+                """;
+                
+                jdbcTemplate.update(sql, dayBucket, summary.haeguNo, start, end);
+            }
+        };
+    }
+    
+    @Bean
+    @StepScope
+    public JdbcCursorItemReader<String> dailyAreaReader(
+            @Value("#{jobParameters['startTime']}") String startTime,
+            @Value("#{jobParameters['endTime']}") String endTime) {
+        
+        LocalDateTime start = LocalDateTime.parse(startTime);
+        LocalDateTime end = LocalDateTime.parse(endTime);
+        
+        String sql = """
+            SELECT DISTINCT area_id
+            FROM signal.t_area_tracks_summary_hourly
+            WHERE time_bucket >= ? AND time_bucket < ?
+            ORDER BY area_id
+        """;
+        
+        return new JdbcCursorItemReaderBuilder<String>()
+                .name("dailyAreaReader")
+                .dataSource(queryDataSource)
+                .sql(sql)
+                .preparedStatementSetter(ps -> {
+                    ps.setTimestamp(1, java.sql.Timestamp.valueOf(start));
+                    ps.setTimestamp(2, java.sql.Timestamp.valueOf(end));
+                })
+                .rowMapper((rs, rowNum) -> rs.getString("area_id"))
+                .build();
+    }
+    
+    @Bean
+    public ItemProcessor<String, DailyAreaSummary> dailyAreaProcessor() {
+        return areaId -> {
+            DailyAreaSummary summary = new DailyAreaSummary();
+            summary.areaId = areaId;
+            return summary;
+        };
+    }
+    
+    @Bean
+    @StepScope
+    public ItemWriter<DailyAreaSummary> dailyAreaWriter(
+            @Value("#{jobParameters['startTime']}") String startTime,
+            @Value("#{jobParameters['endTime']}") String endTime) {
+        
+        return items -> {
+            LocalDateTime start = LocalDateTime.parse(startTime);
+            LocalDateTime end = LocalDateTime.parse(endTime);
+            LocalDateTime dayBucket = start.withHour(0).withMinute(0).withSecond(0).withNano(0);
+            
+            JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+            
+            for (DailyAreaSummary summary : items) {
+                if (summary == null) continue;
+                
+                String sql = """
+                    INSERT INTO signal.t_area_tracks_summary_daily
+                    (area_id, time_bucket, total_vessels, total_distance_nm, avg_speed, vessel_list, created_at)
+                    SELECT 
+                        area_id,
+                        ?::timestamp as time_bucket,
+                        COUNT(DISTINCT vessel_key) as total_vessels,
+                        SUM(total_distance_nm) as total_distance_nm,
+                        AVG(avg_speed) as avg_speed,
+                        jsonb_agg(DISTINCT vessel_list) as vessel_list,
+                        NOW()
+                    FROM (
+                        SELECT area_id, jsonb_array_elements(vessel_list) as vessel_list,
+                               total_distance_nm, avg_speed,
+                               (vessel_list->>'sig_src_cd') || '_' || (vessel_list->>'target_id') as vessel_key
+                        FROM signal.t_area_tracks_summary_hourly
+                        WHERE area_id = ?
+                            AND time_bucket >= ?
+                            AND time_bucket < ?
+                    ) hourly_data
+                    GROUP BY area_id
+                    ON CONFLICT (area_id, time_bucket) DO UPDATE SET
+                        total_vessels = EXCLUDED.total_vessels,
+                        total_distance_nm = EXCLUDED.total_distance_nm,
+                        avg_speed = EXCLUDED.avg_speed,
+                        vessel_list = EXCLUDED.vessel_list,
+                        created_at = NOW()
+                """;
+                
+                jdbcTemplate.update(sql, dayBucket, summary.areaId, start, end);
+            }
+        };
+    }
+    
+    // 비정상 궤적 검출 관련 빈 정의
+    @Bean
+    public ItemProcessor<VesselTrack.VesselKey, AbnormalDetectionResult> dailyTrackProcessorWithAbnormalDetection() {
+        return new DailyTrackProcessorWithAbnormalDetection(
+            dailyTrackItemProcessor(),
+            abnormalTrackDetector,
+            queryDataSource
+        );
+    }
+    
+    @Bean
+    public ItemWriter<AbnormalDetectionResult> dailyCompositeTrackWriter() {
+        // Job 이름 직접 설정
+        abnormalTrackWriter.setJobName("dailyAggregationJob");
+        return new CompositeTrackWriter(
+            vesselTrackBulkWriter,
+            abnormalTrackWriter,
+            "daily"
+        );
+    }
+    
+    // Summary 클래스들
+    public static class DailyGridSummary {
+        public Integer haeguNo;
+    }
+    
+    public static class DailyAreaSummary {
+        public String areaId;
+    }
+}

src/main/java/gc/mda/signal_batch/batch/job/HourlyAggregationJobConfig.java

@@ -0,0 +1,47 @@
+package gc.mda.signal_batch.batch.job;
+
+import gc.mda.signal_batch.batch.listener.JobCompletionListener;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.core.Job;
+import org.springframework.batch.core.JobParametersValidator;
+import org.springframework.batch.core.job.DefaultJobParametersValidator;
+import org.springframework.batch.core.job.builder.JobBuilder;
+import org.springframework.batch.core.launch.support.RunIdIncrementer;
+import org.springframework.batch.core.repository.JobRepository;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.context.annotation.Profile;
+
+@Slf4j
+@Configuration
+@Profile("!query")  // query 프로파일에서는 배치 작업 비활성화
+@RequiredArgsConstructor
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class HourlyAggregationJobConfig {
+    
+    private final JobRepository jobRepository;
+    private final HourlyAggregationStepConfig hourlyAggregationStepConfig;
+    private final JobCompletionListener jobCompletionListener;
+    
+    @Bean
+    public Job hourlyAggregationJob() {
+        return new JobBuilder("hourlyAggregationJob", jobRepository)
+                .incrementer(new RunIdIncrementer())
+                .validator(hourlyJobParametersValidator())
+                .listener(jobCompletionListener)
+                .start(hourlyAggregationStepConfig.mergeHourlyTracksStep())
+                .next(hourlyAggregationStepConfig.gridHourlySummaryStep())
+                .next(hourlyAggregationStepConfig.areaHourlySummaryStep())
+                .build();
+    }
+    
+    @Bean
+    public JobParametersValidator hourlyJobParametersValidator() {
+        DefaultJobParametersValidator validator = new DefaultJobParametersValidator();
+        validator.setRequiredKeys(new String[]{"startTime", "endTime", "timeBucket"});
+        validator.setOptionalKeys(new String[]{"executionTime", "enableAbnormalDetection"});
+        return validator;
+    }
+}

src/main/java/gc/mda/signal_batch/batch/job/HourlyAggregationStepConfig.java

@@ -0,0 +1,373 @@
+package gc.mda.signal_batch.batch.job;
+
+import gc.mda.signal_batch.domain.vessel.model.VesselTrack;
+import gc.mda.signal_batch.batch.processor.HourlyTrackProcessor;
+import gc.mda.signal_batch.batch.processor.HourlyTrackProcessorWithAbnormalDetection;
+import gc.mda.signal_batch.batch.processor.AbnormalTrackDetector;
+import gc.mda.signal_batch.batch.processor.AbnormalTrackDetector.AbnormalDetectionResult;
+import gc.mda.signal_batch.batch.writer.VesselTrackBulkWriter;
+import gc.mda.signal_batch.batch.writer.AbnormalTrackWriter;
+import gc.mda.signal_batch.batch.writer.CompositeTrackWriter;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.core.Step;
+import org.springframework.batch.core.configuration.annotation.StepScope;
+import org.springframework.batch.core.repository.JobRepository;
+import org.springframework.batch.core.step.builder.StepBuilder;
+import org.springframework.batch.item.ItemProcessor;
+import org.springframework.batch.item.ItemWriter;
+import org.springframework.batch.item.database.JdbcCursorItemReader;
+import org.springframework.batch.item.database.builder.JdbcCursorItemReaderBuilder;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.context.annotation.Profile;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.transaction.PlatformTransactionManager;
+
+import javax.sql.DataSource;
+import java.time.LocalDateTime;
+import java.util.ArrayList;
+import java.util.List;
+
+@Slf4j
+@Configuration
+@Profile("!query")  // query 프로파일에서는 배치 작업 비활성화
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class HourlyAggregationStepConfig {
+
+    private final JobRepository jobRepository;
+    private final DataSource queryDataSource;
+    private final PlatformTransactionManager transactionManager;
+    private final VesselTrackBulkWriter vesselTrackBulkWriter;
+    private final AbnormalTrackWriter abnormalTrackWriter;
+    private final AbnormalTrackDetector abnormalTrackDetector;
+
+    public HourlyAggregationStepConfig(
+            JobRepository jobRepository,
+            @Qualifier("queryDataSource") DataSource queryDataSource,
+            @Qualifier("queryTransactionManager") PlatformTransactionManager transactionManager,
+            VesselTrackBulkWriter vesselTrackBulkWriter,
+            AbnormalTrackWriter abnormalTrackWriter,
+            AbnormalTrackDetector abnormalTrackDetector) {
+        this.jobRepository = jobRepository;
+        this.queryDataSource = queryDataSource;
+        this.transactionManager = transactionManager;
+        this.vesselTrackBulkWriter = vesselTrackBulkWriter;
+        this.abnormalTrackWriter = abnormalTrackWriter;
+        this.abnormalTrackDetector = abnormalTrackDetector;
+    }
+    
+    @Value("${vessel.batch.chunk-size:5000}")
+    private int chunkSize;
+    
+    @Bean
+    public Step mergeHourlyTracksStep() {
+        // 비정상 궤적 검출은 항상 활성화 (설정 파일로 제어)
+        boolean detectAbnormal = true;
+        
+        if (detectAbnormal) {
+            log.info("Building mergeHourlyTracksStep with abnormal detection enabled");
+            return new StepBuilder("mergeHourlyTracksStep", jobRepository)
+                    .<VesselTrack.VesselKey, AbnormalDetectionResult>chunk(chunkSize, transactionManager)
+                    .reader(hourlyVesselKeyReader(null, null))
+                    .processor(hourlyTrackProcessorWithAbnormalDetection())
+                    .writer(hourlyCompositeTrackWriter())
+                    .build();
+        } else {
+            log.info("Building mergeHourlyTracksStep without abnormal detection");
+            return new StepBuilder("mergeHourlyTracksStep", jobRepository)
+                    .<VesselTrack.VesselKey, VesselTrack>chunk(chunkSize, transactionManager)
+                    .reader(hourlyVesselKeyReader(null, null))
+                    .processor(hourlyTrackItemProcessor())
+                    .writer(hourlyTrackWriter())
+                    .build();
+        }
+    }
+    
+    @Bean
+    public Step gridHourlySummaryStep() {
+        return new StepBuilder("gridHourlySummaryStep", jobRepository)
+                .<Integer, HourlyGridSummary>chunk(100, transactionManager)
+                .reader(hourlyGridReader(null, null))
+                .processor(hourlyGridProcessor())
+                .writer(hourlyGridWriter(null, null))
+                .build();
+    }
+    
+    @Bean
+    public Step areaHourlySummaryStep() {
+        return new StepBuilder("areaHourlySummaryStep", jobRepository)
+                .<String, HourlyAreaSummary>chunk(100, transactionManager)
+                .reader(hourlyAreaReader(null, null))
+                .processor(hourlyAreaProcessor())
+                .writer(hourlyAreaWriter(null, null))
+                .build();
+    }
+    
+    @Bean
+    @StepScope
+    public JdbcCursorItemReader<VesselTrack.VesselKey> hourlyVesselKeyReader(
+            @Value("#{jobParameters['startTime']}") String startTime,
+            @Value("#{jobParameters['endTime']}") String endTime) {
+        
+        LocalDateTime start = LocalDateTime.parse(startTime);
+        LocalDateTime end = LocalDateTime.parse(endTime);
+        
+        String sql = """
+            SELECT DISTINCT sig_src_cd, target_id, date_trunc('hour', time_bucket) as hour_bucket
+            FROM signal.t_vessel_tracks_5min
+            WHERE time_bucket >= ? AND time_bucket < ?
+            ORDER BY sig_src_cd, target_id, hour_bucket
+        """;
+        
+        return new JdbcCursorItemReaderBuilder<VesselTrack.VesselKey>()
+                .name("hourlyVesselKeyReader")
+                .dataSource(queryDataSource)
+                .sql(sql)
+                .preparedStatementSetter(ps -> {
+                    ps.setTimestamp(1, java.sql.Timestamp.valueOf(start));
+                    ps.setTimestamp(2, java.sql.Timestamp.valueOf(end));
+                })
+                .rowMapper((rs, rowNum) -> new VesselTrack.VesselKey(
+                        rs.getString("sig_src_cd"),
+                        rs.getString("target_id"),
+                        rs.getObject("hour_bucket", LocalDateTime.class)
+                ))
+                .build();
+    }
+    
+    @Bean
+    public ItemProcessor<VesselTrack.VesselKey, VesselTrack> hourlyTrackItemProcessor() {
+        return new HourlyTrackProcessor(queryDataSource, new JdbcTemplate(queryDataSource));
+    }
+    
+    @Bean
+    public ItemWriter<VesselTrack> hourlyTrackWriter() {
+        return items -> {
+            List<VesselTrack> tracks = new ArrayList<>();
+            for (VesselTrack track : items) {
+                if (track != null) {
+                    tracks.add(track);
+                }
+            }
+            if (!tracks.isEmpty()) {
+                vesselTrackBulkWriter.writeHourlyTracks(tracks);
+            }
+        };
+    }
+    
+    // Grid summary reader
+    @Bean
+    @StepScope
+    public JdbcCursorItemReader<Integer> hourlyGridReader(
+            @Value("#{jobParameters['startTime']}") String startTime,
+            @Value("#{jobParameters['endTime']}") String endTime) {
+        
+        LocalDateTime start = LocalDateTime.parse(startTime);
+        LocalDateTime end = LocalDateTime.parse(endTime);
+        
+        String sql = """
+            SELECT DISTINCT haegu_no
+            FROM signal.t_grid_vessel_tracks
+            WHERE time_bucket >= ? AND time_bucket < ?
+            ORDER BY haegu_no
+        """;
+        
+        return new JdbcCursorItemReaderBuilder<Integer>()
+                .name("hourlyGridReader")
+                .dataSource(queryDataSource)
+                .sql(sql)
+                .preparedStatementSetter(ps -> {
+                    ps.setTimestamp(1, java.sql.Timestamp.valueOf(start));
+                    ps.setTimestamp(2, java.sql.Timestamp.valueOf(end));
+                })
+                .rowMapper((rs, rowNum) -> rs.getInt("haegu_no"))
+                .build();
+    }
+    
+    @Bean
+    public ItemProcessor<Integer, HourlyGridSummary> hourlyGridProcessor() {
+        return new ItemProcessor<Integer, HourlyGridSummary>() {
+            @Override
+            public HourlyGridSummary process(Integer haeguNo) throws Exception {
+                HourlyGridSummary summary = new HourlyGridSummary();
+                summary.haeguNo = haeguNo;
+                return summary;
+            }
+        };
+    }
+    
+    @Bean
+    @StepScope
+    public ItemWriter<HourlyGridSummary> hourlyGridWriter(
+            @Value("#{jobParameters['startTime']}") String startTime,
+            @Value("#{jobParameters['endTime']}") String endTime) {
+        
+        return items -> {
+            LocalDateTime start = LocalDateTime.parse(startTime);
+            LocalDateTime end = LocalDateTime.parse(endTime);
+            LocalDateTime hourBucket = start.withMinute(0).withSecond(0).withNano(0);
+            
+            JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+            
+            for (HourlyGridSummary summary : items) {
+                if (summary == null) continue;
+                
+                String sql = """
+                    INSERT INTO signal.t_grid_tracks_summary_hourly
+                    (haegu_no, time_bucket, total_vessels, total_distance_nm, avg_speed, vessel_list, created_at)
+                    SELECT 
+                        haegu_no,
+                        ?::timestamp as time_bucket,
+                        COUNT(DISTINCT sig_src_cd || '_' || target_id) as total_vessels,
+                        SUM(distance_nm) as total_distance_nm,
+                        AVG(avg_speed) as avg_speed,
+                        jsonb_agg(DISTINCT jsonb_build_object(
+                            'sig_src_cd', sig_src_cd,
+                            'target_id', target_id,
+                            'distance_nm', distance_nm,
+                            'avg_speed', avg_speed
+                        )) as vessel_list,
+                        NOW()
+                    FROM signal.t_grid_vessel_tracks  
+                    WHERE haegu_no = ?
+                        AND time_bucket >= ?
+                        AND time_bucket < ?
+                    GROUP BY haegu_no
+                    ON CONFLICT (haegu_no, time_bucket) DO UPDATE SET
+                        total_vessels = EXCLUDED.total_vessels,
+                        total_distance_nm = EXCLUDED.total_distance_nm,
+                        avg_speed = EXCLUDED.avg_speed,
+                        vessel_list = EXCLUDED.vessel_list,
+                        created_at = NOW()
+                """;
+                
+                jdbcTemplate.update(sql, hourBucket, summary.haeguNo, start, end);
+            }
+        };
+    }
+    
+    // Area summary reader
+    @Bean
+    @StepScope
+    public JdbcCursorItemReader<String> hourlyAreaReader(
+            @Value("#{jobParameters['startTime']}") String startTime,
+            @Value("#{jobParameters['endTime']}") String endTime) {
+        
+        LocalDateTime start = LocalDateTime.parse(startTime);
+        LocalDateTime end = LocalDateTime.parse(endTime);
+        
+        String sql = """
+            SELECT DISTINCT area_id
+            FROM signal.t_area_vessel_tracks
+            WHERE time_bucket >= ? AND time_bucket < ?
+            ORDER BY area_id
+        """;
+        
+        return new JdbcCursorItemReaderBuilder<String>()
+                .name("hourlyAreaReader")
+                .dataSource(queryDataSource)
+                .sql(sql)
+                .preparedStatementSetter(ps -> {
+                    ps.setTimestamp(1, java.sql.Timestamp.valueOf(start));
+                    ps.setTimestamp(2, java.sql.Timestamp.valueOf(end));
+                })
+                .rowMapper((rs, rowNum) -> rs.getString("area_id"))
+                .build();
+    }
+    
+    @Bean
+    public ItemProcessor<String, HourlyAreaSummary> hourlyAreaProcessor() {
+        return new ItemProcessor<String, HourlyAreaSummary>() {
+            @Override
+            public HourlyAreaSummary process(String areaId) throws Exception {
+                HourlyAreaSummary summary = new HourlyAreaSummary();
+                summary.areaId = areaId;
+                return summary;
+            }
+        };
+    }
+    
+    @Bean
+    @StepScope
+    public ItemWriter<HourlyAreaSummary> hourlyAreaWriter(
+            @Value("#{jobParameters['startTime']}") String startTime,
+            @Value("#{jobParameters['endTime']}") String endTime) {
+        
+        return items -> {
+            LocalDateTime start = LocalDateTime.parse(startTime);
+            LocalDateTime end = LocalDateTime.parse(endTime);
+            LocalDateTime hourBucket = start.withMinute(0).withSecond(0).withNano(0);
+            
+            JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+            
+            for (HourlyAreaSummary summary : items) {
+                if (summary == null) continue;
+                
+                String sql = """
+                    INSERT INTO signal.t_area_tracks_summary_hourly
+                    (area_id, time_bucket, total_vessels, total_distance_nm, avg_speed, vessel_list, created_at)
+                    SELECT 
+                        area_id,
+                        ?::timestamp as time_bucket,
+                        COUNT(DISTINCT sig_src_cd || '_' || target_id) as total_vessels,
+                        SUM(distance_nm) as total_distance_nm,
+                        AVG(avg_speed) as avg_speed,
+                        jsonb_agg(DISTINCT jsonb_build_object(
+                            'sig_src_cd', sig_src_cd,
+                            'target_id', target_id,
+                            'distance_nm', distance_nm,
+                            'avg_speed', avg_speed
+                        )) as vessel_list,
+                        NOW()
+                    FROM signal.t_area_vessel_tracks  
+                    WHERE area_id = ?
+                        AND time_bucket >= ?
+                        AND time_bucket < ?
+                    GROUP BY area_id
+                    ON CONFLICT (area_id, time_bucket) DO UPDATE SET
+                        total_vessels = EXCLUDED.total_vessels,
+                        total_distance_nm = EXCLUDED.total_distance_nm,
+                        avg_speed = EXCLUDED.avg_speed,
+                        vessel_list = EXCLUDED.vessel_list,
+                        created_at = NOW()
+                """;
+                
+                jdbcTemplate.update(sql, hourBucket, summary.areaId, start, end);
+            }
+        };
+    }
+    
+    // 비정상 궤적 검출 관련 빈 정의
+    @Bean
+    public ItemProcessor<VesselTrack.VesselKey, AbnormalDetectionResult> hourlyTrackProcessorWithAbnormalDetection() {
+        return new HourlyTrackProcessorWithAbnormalDetection(
+            hourlyTrackItemProcessor(),
+            abnormalTrackDetector,
+            queryDataSource
+        );
+    }
+    
+    @Bean
+    public ItemWriter<AbnormalDetectionResult> hourlyCompositeTrackWriter() {
+        // Job 이름 직접 설정
+        abnormalTrackWriter.setJobName("hourlyAggregationJob");
+        return new CompositeTrackWriter(
+            vesselTrackBulkWriter,
+            abnormalTrackWriter,
+            "hourly"
+        );
+    }
+    
+    // Summary 클래스들
+    public static class HourlyGridSummary {
+        public Integer haeguNo;
+    }
+    
+    public static class HourlyAreaSummary {
+        public String areaId;
+    }
+}

src/main/java/gc/mda/signal_batch/batch/job/LatestPositionStepConfig.java

@@ -0,0 +1,178 @@
+package gc.mda.signal_batch.batch.job;
+
+import gc.mda.signal_batch.domain.vessel.model.VesselData;
+import gc.mda.signal_batch.domain.vessel.model.VesselLatestPosition;
+import gc.mda.signal_batch.batch.processor.LatestPositionProcessor;
+import gc.mda.signal_batch.batch.reader.InMemoryVesselDataReader;
+import gc.mda.signal_batch.batch.reader.PartitionedReader;
+import gc.mda.signal_batch.batch.reader.VesselDataReader;
+import gc.mda.signal_batch.batch.writer.UpsertWriter;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.core.Step;
+import org.springframework.batch.core.configuration.annotation.StepScope;
+import org.springframework.batch.core.partition.support.TaskExecutorPartitionHandler;
+import org.springframework.batch.core.repository.JobRepository;
+import org.springframework.batch.core.step.builder.StepBuilder;
+import org.springframework.batch.item.ItemProcessor;
+import org.springframework.batch.item.ItemReader;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.context.ApplicationContext;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.context.annotation.Profile;
+import org.springframework.core.task.TaskExecutor;
+import org.springframework.retry.RetryPolicy;
+import org.springframework.retry.backoff.BackOffPolicy;
+import org.springframework.retry.backoff.ExponentialBackOffPolicy;
+import org.springframework.retry.policy.SimpleRetryPolicy;
+import org.springframework.transaction.PlatformTransactionManager;
+
+import java.time.LocalDate;
+import java.time.LocalDateTime;
+import java.util.HashMap;
+import java.util.Map;
+
+@Slf4j
+@Configuration
+@Profile("!query")  // query 프로파일에서는 배치 작업 비활성화
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class LatestPositionStepConfig {
+
+    private final JobRepository jobRepository;
+    private final PlatformTransactionManager queryTransactionManager;
+    private final LatestPositionProcessor latestPositionProcessor;
+    private final UpsertWriter upsertWriter;
+    private final PartitionedReader partitionedReader;
+    private final ApplicationContext applicationContext;
+    private final TaskExecutor batchTaskExecutor;
+    private final TaskExecutor partitionTaskExecutor;
+
+    public LatestPositionStepConfig(
+            JobRepository jobRepository,
+            @Qualifier("queryTransactionManager") PlatformTransactionManager queryTransactionManager,
+            LatestPositionProcessor latestPositionProcessor,
+            UpsertWriter upsertWriter,
+            PartitionedReader partitionedReader,
+            ApplicationContext applicationContext,
+            @Qualifier("batchTaskExecutor") TaskExecutor batchTaskExecutor,
+            @Qualifier("partitionTaskExecutor") TaskExecutor partitionTaskExecutor) {
+        this.jobRepository = jobRepository;
+        this.queryTransactionManager = queryTransactionManager;
+        this.latestPositionProcessor = latestPositionProcessor;
+        this.upsertWriter = upsertWriter;
+        this.partitionedReader = partitionedReader;
+        this.applicationContext = applicationContext;
+        this.batchTaskExecutor = batchTaskExecutor;
+        this.partitionTaskExecutor = partitionTaskExecutor;
+    }
+
+    @Bean
+    public Step updateLatestPositionStep() {
+        // InMemoryVesselDataReader를 ApplicationContext에서 가져옴
+        InMemoryVesselDataReader inMemoryReader = applicationContext.getBean(InMemoryVesselDataReader.class);
+        
+        return new StepBuilder("updateLatestPositionStep", jobRepository)
+                .<VesselData, VesselLatestPosition>chunk(10000, queryTransactionManager)
+                .reader(inMemoryReader)  // 메모리 기반 Reader 사용
+                .processor(latestPositionProcessor.processor())
+                .writer(upsertWriter.latestPositionWriter())
+                .faultTolerant()
+                .retryLimit(3)
+                .retry(org.springframework.dao.CannotAcquireLockException.class)
+                .skipLimit(1000)
+                .skip(org.springframework.dao.EmptyResultDataAccessException.class)
+                .skip(Exception.class)
+                .build();
+    }
+
+    // 메모리 기반 Reader 사용으로 제거
+    // @Bean
+    // @StepScope
+    // public ItemReader<VesselData> defaultVesselDataReader() { ... }
+
+    @Bean
+    public Step partitionedLatestPositionStep() {
+        return new StepBuilder("partitionedLatestPositionStep", jobRepository)
+                .partitioner("latestPositionPartitioner", dayPartitioner(null))
+                .partitionHandler(latestPositionPartitionHandler())
+                .build();
+    }
+
+    @Bean
+    public TaskExecutorPartitionHandler latestPositionPartitionHandler() {
+        TaskExecutorPartitionHandler handler = new TaskExecutorPartitionHandler();
+        handler.setTaskExecutor(partitionTaskExecutor);
+        handler.setStep(latestPositionSlaveStep());
+        handler.setGridSize(24);
+        return handler;
+    }
+
+    @Bean
+    public Step latestPositionSlaveStep() {
+        return new StepBuilder("latestPositionSlaveStep", jobRepository)
+                .<VesselData, VesselLatestPosition>chunk(3000, queryTransactionManager)
+                .reader(slaveVesselDataReader(null, null, null))
+                .processor(slaveLatestPositionProcessor())
+                .writer(upsertWriter.latestPositionWriter())
+                .faultTolerant()
+                .retryPolicy(retryPolicy())
+                .backOffPolicy(exponentialBackOffPolicy())
+                .skipLimit(50)
+                .skip(Exception.class)
+                .noRollback(org.springframework.dao.DuplicateKeyException.class)
+                .build();
+    }
+
+    @Bean
+    @StepScope
+    public ItemReader<VesselData> slaveVesselDataReader(
+            @Value("#{stepExecutionContext['startTime']}") String startTime,
+            @Value("#{stepExecutionContext['endTime']}") String endTime,
+            @Value("#{stepExecutionContext['partition']}") String partition) {
+
+        // ApplicationContext에서 VesselDataReader를 가져와서 사용
+        VesselDataReader reader = applicationContext.getBean(VesselDataReader.class);
+
+        return reader.vesselLatestPositionReader(
+                LocalDateTime.parse(startTime),
+                LocalDateTime.parse(endTime),
+                partition
+        );
+    }
+
+    @Bean
+    @StepScope
+    public ItemProcessor<VesselData, VesselLatestPosition> slaveLatestPositionProcessor() {
+        return latestPositionProcessor.processor();
+    }
+
+    @Bean
+    @StepScope
+    public org.springframework.batch.core.partition.support.Partitioner dayPartitioner(
+            @Value("#{jobParameters['processingDate']}") String processingDateStr) {
+        LocalDate processingDate = processingDateStr != null ? LocalDate.parse(processingDateStr) : null;
+        return partitionedReader.dayPartitioner(processingDate);
+    }
+
+    @Bean
+    public RetryPolicy retryPolicy() {
+        Map<Class<? extends Throwable>, Boolean> retryableExceptions = new HashMap<>();
+        retryableExceptions.put(org.springframework.dao.CannotAcquireLockException.class, true);
+        retryableExceptions.put(org.springframework.dao.DataAccessException.class, true);
+
+        SimpleRetryPolicy retryPolicy = new SimpleRetryPolicy(3, retryableExceptions);
+        return retryPolicy;
+    }
+
+    @Bean
+    public BackOffPolicy exponentialBackOffPolicy() {
+        ExponentialBackOffPolicy backOffPolicy = new ExponentialBackOffPolicy();
+        backOffPolicy.setInitialInterval(1000); // 1초
+        backOffPolicy.setMaxInterval(10000); // 최대 10초
+        backOffPolicy.setMultiplier(2.0); // 2배씩 증가
+        return backOffPolicy;
+    }
+}

src/main/java/gc/mda/signal_batch/batch/job/TileAggregationStepConfig.java

@@ -0,0 +1,350 @@
+package gc.mda.signal_batch.batch.job;
+
+import gc.mda.signal_batch.batch.processor.AccumulatingTileProcessor;
+import gc.mda.signal_batch.domain.gis.model.TileStatistics;
+import gc.mda.signal_batch.domain.vessel.model.VesselData;
+import gc.mda.signal_batch.batch.processor.TileAggregationProcessor;
+import gc.mda.signal_batch.batch.reader.InMemoryVesselDataReader;
+import gc.mda.signal_batch.batch.reader.PartitionedReader;
+import gc.mda.signal_batch.batch.reader.VesselDataReader;
+import gc.mda.signal_batch.batch.writer.OptimizedBulkInsertWriter;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.core.Step;
+import org.springframework.batch.core.configuration.annotation.StepScope;
+import org.springframework.batch.core.partition.support.TaskExecutorPartitionHandler;
+import org.springframework.batch.core.repository.JobRepository;
+import org.springframework.batch.core.step.builder.StepBuilder;
+import org.springframework.batch.item.Chunk;
+import org.springframework.batch.item.ItemWriter;
+import org.springframework.batch.item.ItemProcessor;
+import org.springframework.batch.item.ItemReader;
+import org.springframework.batch.item.support.CompositeItemProcessor;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.context.ApplicationContext;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.context.annotation.Profile;
+import org.springframework.core.task.TaskExecutor;
+import org.springframework.transaction.PlatformTransactionManager;
+
+import java.time.LocalDateTime;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+
+@Slf4j
+@Configuration
+@Profile("!query")  // query 프로파일에서는 배치 작업 비활성화
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class TileAggregationStepConfig {
+
+    private final JobRepository jobRepository;
+    private final PlatformTransactionManager queryTransactionManager;
+    private final VesselDataReader vesselDataReader;
+    private final TileAggregationProcessor tileAggregationProcessor;
+    private final AccumulatingTileProcessor accumulatingTileProcessor;
+    private final OptimizedBulkInsertWriter optimizedBulkInsertWriter;
+    private final PartitionedReader partitionedReader;
+    private final ApplicationContext applicationContext;
+    private final TaskExecutor batchTaskExecutor;
+    private final TaskExecutor partitionTaskExecutor;
+
+    public TileAggregationStepConfig(
+            JobRepository jobRepository,
+            @Qualifier("queryTransactionManager") PlatformTransactionManager queryTransactionManager,
+            VesselDataReader vesselDataReader,
+            TileAggregationProcessor tileAggregationProcessor,
+            AccumulatingTileProcessor accumulatingTileProcessor,
+            OptimizedBulkInsertWriter optimizedBulkInsertWriter,
+            PartitionedReader partitionedReader,
+            ApplicationContext applicationContext,
+            @Qualifier("batchTaskExecutor") TaskExecutor batchTaskExecutor,
+            @Qualifier("partitionTaskExecutor") TaskExecutor partitionTaskExecutor) {
+        this.jobRepository = jobRepository;
+        this.queryTransactionManager = queryTransactionManager;
+        this.vesselDataReader = vesselDataReader;
+        this.tileAggregationProcessor = tileAggregationProcessor;
+        this.accumulatingTileProcessor = accumulatingTileProcessor;
+        this.optimizedBulkInsertWriter = optimizedBulkInsertWriter;
+        this.partitionedReader = partitionedReader;
+        this.applicationContext = applicationContext;
+        this.batchTaskExecutor = batchTaskExecutor;
+        this.partitionTaskExecutor = partitionTaskExecutor;
+    }
+
+    @Bean
+    public Step aggregateTileStatisticsStep() {
+        // InMemoryVesselDataReader를 ApplicationContext에서 가져옴
+        InMemoryVesselDataReader inMemoryReader = applicationContext.getBean(InMemoryVesselDataReader.class);
+        
+        return new StepBuilder("aggregateTileStatisticsStep", jobRepository)
+                .<VesselData, TileStatistics>chunk(50000, queryTransactionManager)
+                .reader(inMemoryReader)  // 메모리 기반 Reader 사용
+                .processor(accumulatingTileProcessor)
+                .writer(new AccumulatedTileWriter())
+                .listener(tileAggregationStepListener())
+                .faultTolerant()
+                .skipLimit(1000)
+                .skip(Exception.class)
+                .build();
+    }
+    
+    @Bean
+    @StepScope
+    public ItemReader<VesselData> tileDataReader(
+            @Value("#{jobParameters['startTime']}") String startTimeStr,
+            @Value("#{jobParameters['endTime']}") String endTimeStr) {
+        return new ItemReader<VesselData>() {
+            private ItemReader<VesselData> delegate;
+            private boolean initialized = false;
+
+            @Override
+            public VesselData read() throws Exception {
+                if (!initialized) {
+                    LocalDateTime startTime = startTimeStr != null ? LocalDateTime.parse(startTimeStr) : null;
+                    LocalDateTime endTime = endTimeStr != null ? LocalDateTime.parse(endTimeStr) : null;
+                    log.info("Creating tileDataReader with startTime: {}, endTime: {}", startTime, endTime);
+                    
+                    // 기존 reader close
+                    if (delegate != null) {
+                        try {
+                            ((org.springframework.batch.item.ItemStream) delegate).close();
+                        } catch (Exception e) {
+                            log.debug("Failed to close previous reader: {}", e.getMessage());
+                        }
+                    }
+                    
+                    // 최신 위치만 사용
+                    delegate = vesselDataReader.vesselLatestPositionReader(startTime, endTime, null);
+                    ((org.springframework.batch.item.ItemStream) delegate).open(
+                            org.springframework.batch.core.scope.context.StepSynchronizationManager
+                                    .getContext().getStepExecution().getExecutionContext());
+                    initialized = true;
+                }
+                
+                VesselData data = delegate.read();
+                
+                // Reader 종료 시 close
+                if (data == null && delegate != null) {
+                    try {
+                        ((org.springframework.batch.item.ItemStream) delegate).close();
+                        delegate = null;
+                        initialized = false;
+                    } catch (Exception e) {
+                        log.debug("Failed to close reader on completion: {}", e.getMessage());
+                    }
+                }
+                
+                return data;
+            }
+        };
+    }
+
+    @Bean
+    public Step partitionedTileAggregationStep() {
+        return new StepBuilder("partitionedTileAggregationStep", jobRepository)
+                .partitioner("tileAggregationPartitioner", partitionedReader.dayPartitioner(null))
+                .partitionHandler(tileAggregationPartitionHandler())
+                .build();
+    }
+
+    @Bean
+    public TaskExecutorPartitionHandler tileAggregationPartitionHandler() {
+        TaskExecutorPartitionHandler handler = new TaskExecutorPartitionHandler();
+        handler.setTaskExecutor(partitionTaskExecutor);
+        handler.setStep(tileAggregationSlaveStep());
+        handler.setGridSize(24);
+        return handler;
+    }
+
+    @Bean
+    public Step tileAggregationSlaveStep() {
+        return new StepBuilder("tileAggregationSlaveStep", jobRepository)
+                .<List<VesselData>, List<TileStatistics>>chunk(50, queryTransactionManager)
+                .reader(slaveTileBatchVesselDataReader(null, null, null))
+                .processor(slaveTileProcessor(null, null))
+                .writer(optimizedBulkInsertWriter.tileStatisticsBulkWriter())
+                .faultTolerant()
+                .skipLimit(100)
+                .skip(Exception.class)
+                .build();
+    }
+
+    @Bean
+    @StepScope
+    public ItemReader<List<VesselData>> tileBatchVesselDataReader(
+            @Value("#{jobParameters['startTime']}") String startTimeStr,
+            @Value("#{jobParameters['endTime']}") String endTimeStr) {
+        LocalDateTime startTime = startTimeStr != null ? LocalDateTime.parse(startTimeStr) : null;
+        LocalDateTime endTime = endTimeStr != null ? LocalDateTime.parse(endTimeStr) : null;
+        return new ItemReader<List<VesselData>>() {
+            private ItemReader<VesselData> delegate = vesselDataReader.vesselDataPagingReader(startTime, endTime, null);
+
+            @Override
+            public List<VesselData> read() throws Exception {
+                List<VesselData> batch = new java.util.ArrayList<>();
+
+                for (int i = 0; i < 1000; i++) {
+                    VesselData item = delegate.read();
+                    if (item == null) {
+                        break;
+                    }
+                    batch.add(item);
+                }
+
+                return batch.isEmpty() ? null : batch;
+            }
+        };
+    }
+
+    @Bean
+    @StepScope
+    public ItemReader<List<VesselData>> slaveTileBatchVesselDataReader(
+            @Value("#{stepExecutionContext['startTime']}") String startTime,
+            @Value("#{stepExecutionContext['endTime']}") String endTime,
+            @Value("#{stepExecutionContext['partition']}") String partition) {
+
+        return new ItemReader<List<VesselData>>() {
+            private ItemReader<VesselData> delegate = vesselDataReader.vesselDataPagingReader(
+                    startTime != null ? LocalDateTime.parse(startTime) : null,
+                    endTime != null ? LocalDateTime.parse(endTime) : null,
+                    partition
+            );
+
+            @Override
+            public List<VesselData> read() throws Exception {
+                List<VesselData> batch = new java.util.ArrayList<>();
+
+                for (int i = 0; i < 1000; i++) {
+                    VesselData item = delegate.read();
+                    if (item == null) {
+                        break;
+                    }
+                    batch.add(item);
+                }
+
+                return batch.isEmpty() ? null : batch;
+            }
+        };
+    }
+
+    @Bean
+    @StepScope
+    public ItemProcessor<List<VesselData>, List<TileStatistics>> slaveTileProcessor(
+            @Value("#{jobParameters['tileLevel']}") Integer tileLevel,
+            @Value("#{jobParameters['timeBucketMinutes']}") Integer timeBucketMinutes) {
+
+        final int bucketMinutes = (timeBucketMinutes != null) ? timeBucketMinutes : 5;
+
+        // 여러 레벨 처리를 위한 복합 프로세서
+        if (tileLevel == null) {
+            CompositeItemProcessor<List<VesselData>, List<TileStatistics>> compositeProcessor =
+                    new CompositeItemProcessor<>();
+
+            compositeProcessor.setDelegates(Arrays.asList(
+                    tileAggregationProcessor.batchProcessor(0, bucketMinutes),
+                    tileAggregationProcessor.batchProcessor(1, bucketMinutes),
+                    tileAggregationProcessor.batchProcessor(2, bucketMinutes)
+            ));
+
+            return compositeProcessor;
+        } else {
+            return tileAggregationProcessor.batchProcessor(tileLevel, bucketMinutes);
+        }
+    }
+
+    @Bean
+    @StepScope
+    public ItemProcessor<VesselData, List<TileStatistics>> batchTileProcessor(
+            @Value("#{jobParameters['tileLevel']}") Integer tileLevel,
+            @Value("#{jobParameters['timeBucketMinutes']}") Integer timeBucketMinutes) {
+        
+        final int level = (tileLevel != null) ? tileLevel : 1;
+        final int bucketMinutes = (timeBucketMinutes != null) ? timeBucketMinutes : 5;
+        
+        return new ItemProcessor<VesselData, List<TileStatistics>>() {
+            private final List<VesselData> buffer = new ArrayList<>(1000);
+
+            @Override
+            public List<TileStatistics> process(VesselData item) throws Exception {
+                if (item == null || !item.isValidPosition()) {
+                    return null;
+                }
+
+                buffer.add(item);
+
+                // 버퍼가 차면 처리
+                if (buffer.size() >= 1000) {
+                    List<TileStatistics> result = tileAggregationProcessor
+                            .batchProcessor(level, bucketMinutes)
+                            .process(new ArrayList<>(buffer));
+                    buffer.clear();
+                    return result;
+                }
+
+                return null;
+            }
+        };
+    }
+    
+    /**
+     * 누적된 결과를 한 번에 처리하는 Writer
+     */
+    private class AccumulatedTileWriter implements ItemWriter<TileStatistics> {
+        @Override
+        public void write(Chunk<? extends TileStatistics> chunk) throws Exception {
+            // 대부분의 아이템은 null일 것임 (processor에서 null 반환)
+            // 실제 데이터는 Step 종료 시 처리됨
+            log.debug("AccumulatedTileWriter called with {} items", chunk.size());
+        }
+    }
+    
+    /**
+     * Step 종료 후 누적된 데이터를 처리하는 리스너
+     */
+    @Bean
+    @StepScope  
+    public org.springframework.batch.core.StepExecutionListener tileAggregationStepListener() {
+        return new org.springframework.batch.core.StepExecutionListener() {
+            @Override
+            public void beforeStep(org.springframework.batch.core.StepExecution stepExecution) {
+                // beforeStep에서는 특별한 처리 없음
+            }
+            
+            @Override
+            public org.springframework.batch.core.ExitStatus afterStep(org.springframework.batch.core.StepExecution stepExecution) {
+                log.info("[TileAggregationStepListener] afterStep called");
+                
+                try {
+                    // AccumulatingTileProcessor에서 직접 결과 가져오기
+                    List<TileStatistics> accumulatedTiles = accumulatingTileProcessor.getAccumulatedResults();
+                    log.info("[TileAggregationStepListener] Retrieved {} tiles from processor", 
+                            accumulatedTiles != null ? accumulatedTiles.size() : 0);
+                    
+                    if (accumulatedTiles != null && !accumulatedTiles.isEmpty()) {
+                        log.info("Writing {} accumulated tiles to database", accumulatedTiles.size());
+                        
+                        // Bulk Writer를 사용하여 한 번에 저장
+                        ItemWriter<List<TileStatistics>> writer = optimizedBulkInsertWriter.tileStatisticsBulkWriter();
+                        Chunk<List<TileStatistics>> chunk = new Chunk<>();
+                        chunk.add(accumulatedTiles);
+                        writer.write(chunk);
+                        
+                        log.info("Successfully wrote all accumulated tiles");
+                        stepExecution.setWriteCount(accumulatedTiles.size());
+                    } else {
+                        log.warn("[TileAggregationStepListener] No tiles to write!");
+                    }
+                    
+                    return stepExecution.getExitStatus();
+                } catch (Exception e) {
+                    log.error("Failed to write accumulated tiles", e);
+                    return org.springframework.batch.core.ExitStatus.FAILED;
+                }
+            }
+        };
+    }
+}

src/main/java/gc/mda/signal_batch/batch/job/VesselAggregationJobConfig.java

@@ -0,0 +1,78 @@
+package gc.mda.signal_batch.batch.job;
+
+import gc.mda.signal_batch.global.util.SharedDataJobListener;
+import gc.mda.signal_batch.global.util.VesselDataHolder;
+import gc.mda.signal_batch.batch.listener.JobCompletionListener;
+import gc.mda.signal_batch.batch.listener.PerformanceOptimizationListener;
+import gc.mda.signal_batch.batch.reader.InMemoryVesselDataReader;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.core.Job;
+import org.springframework.batch.core.JobParametersValidator;
+import org.springframework.batch.core.configuration.annotation.StepScope;
+import org.springframework.batch.core.job.DefaultJobParametersValidator;
+import org.springframework.batch.core.job.builder.JobBuilder;
+import org.springframework.batch.core.launch.support.RunIdIncrementer;
+import org.springframework.batch.core.repository.JobRepository;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.context.annotation.Profile;
+
+
+@Slf4j
+@Configuration
+@Profile("!query")  // query 프로파일에서는 배치 작업 비활성화
+@RequiredArgsConstructor
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class VesselAggregationJobConfig {
+
+    private final JobRepository jobRepository;
+    private final LatestPositionStepConfig latestPositionStepConfig;
+    private final TileAggregationStepConfig tileAggregationStepConfig;
+    private final AreaStatisticsStepConfig areaStatisticsStepConfig;
+    private final JobCompletionListener jobCompletionListener;
+    private final SharedDataJobListener sharedDataJobListener;
+    private final VesselDataHolder vesselDataHolder;
+    private final PerformanceOptimizationListener performanceOptimizationListener;
+
+    @Bean
+    public Job vesselAggregationJob() {
+        return new JobBuilder("vesselAggregationJob", jobRepository)
+                .incrementer(new RunIdIncrementer())
+                .validator(jobParametersValidator())
+                .listener(jobCompletionListener)
+                .listener(sharedDataJobListener)  // 데이터 로드 리스너 추가
+                .listener(performanceOptimizationListener)  // 성능 최적화 리스너 추가
+                .start(latestPositionStepConfig.updateLatestPositionStep())
+                .next(tileAggregationStepConfig.aggregateTileStatisticsStep())
+                .next(areaStatisticsStepConfig.aggregateAreaStatisticsStep())
+                .build();
+    }
+    
+    @Bean
+    @StepScope
+    public InMemoryVesselDataReader inMemoryVesselDataReader() {
+        return new InMemoryVesselDataReader(vesselDataHolder);
+    }
+
+    @Bean
+    public Job vesselDailyPositionJob() {
+        return new JobBuilder("vesselDailyPositionJob", jobRepository)
+                .incrementer(new RunIdIncrementer())
+                .listener(jobCompletionListener)
+                .start(latestPositionStepConfig.partitionedLatestPositionStep())
+                .next(tileAggregationStepConfig.partitionedTileAggregationStep())
+                .next(areaStatisticsStepConfig.partitionedAreaStatisticsStep())
+                .build();
+    }
+
+    @Bean
+    public JobParametersValidator jobParametersValidator() {
+        DefaultJobParametersValidator validator = new DefaultJobParametersValidator();
+        validator.setRequiredKeys(new String[]{"startTime", "endTime"});
+        validator.setOptionalKeys(new String[]{"executionTime", "processingDate",
+                "tileLevel", "partitionCount"});
+        return validator;
+    }
+}

src/main/java/gc/mda/signal_batch/batch/job/VesselBatchScheduler.java

@@ -0,0 +1,261 @@
+package gc.mda.signal_batch.batch.job;
+
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.core.*;
+import org.springframework.batch.core.launch.JobLauncher;
+import org.springframework.batch.core.repository.JobExecutionAlreadyRunningException;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.context.annotation.Profile;
+import org.springframework.scheduling.annotation.Scheduled;
+import org.springframework.stereotype.Component;
+
+import java.time.LocalDateTime;
+import java.time.format.DateTimeFormatter;
+
+@Slf4j
+@Component
+@Profile("!query")  // query 프로파일에서는 배치 스케줄러 비활성화
+@RequiredArgsConstructor
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class VesselBatchScheduler {
+    
+    private volatile boolean trackAggregationRunning = false;
+
+    @Autowired
+    @Qualifier("asyncJobLauncher")
+    private JobLauncher jobLauncher;
+
+    @Autowired
+    @Qualifier("vesselAggregationJob")
+    private Job vesselAggregationJob;
+
+    @Autowired
+    @Qualifier("vesselTrackAggregationJob")
+    private Job vesselTrackAggregationJob;
+
+    @Autowired(required = false)
+    @Qualifier("hourlyAggregationJob")
+    private Job hourlyAggregationJob;
+
+    @Autowired(required = false)
+    @Qualifier("dailyAggregationJob")
+    private Job dailyAggregationJob;
+
+    @Value("${vessel.batch.scheduler.enabled:true}")
+    private boolean schedulerEnabled;
+
+    @Value("${vessel.batch.scheduler.incremental.delay-minutes:2}")
+    private int incrementalDelayMinutes;
+
+    @Value("${vessel.batch.abnormal-detection.enabled:true}")
+    private boolean abnormalDetectionEnabled;
+    /**
+     * 5분 단위 증분 처리 (3분 지연으로 데이터 수집 대기)
+     * 매 5분마다 실행 (0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55분)
+     */
+    @Scheduled(cron = "0 3,8,13,18,23,28,33,38,43,48,53,58 * * * *")
+    public void runIncrementalAggregation() {
+        if (!schedulerEnabled) {
+            log.debug("Scheduler is disabled");
+            return;
+        }
+
+        try {
+            // 3분 전 데이터를 처리 (데이터 수집 지연 고려)
+            LocalDateTime now = LocalDateTime.now();
+            LocalDateTime endTime = now.minusMinutes(incrementalDelayMinutes);
+            LocalDateTime startTime = endTime.minusMinutes(5);
+
+            log.info("Starting incremental aggregation for period: {} to {}", startTime, endTime);
+
+            JobParameters params = new JobParametersBuilder()
+                    .addString("startTime", startTime.withNano(0).toString())
+                    .addString("endTime", endTime.withNano(0).toString())
+                    .addString("jobType", "INCREMENTAL")
+                    .addString("timeBucketMinutes", "5")  // 5분 단위 집계
+                    // executionTime 제거 - startTime/endTime만으로 고유성 보장
+                    .toJobParameters();
+
+            JobExecution execution = jobLauncher.run(vesselAggregationJob, params);
+
+            log.info("Incremental aggregation started with execution ID: {}", execution.getId());
+
+        } catch (JobExecutionAlreadyRunningException e) {
+            log.warn("Previous incremental job is still running, skipping this execution");
+        } catch (Exception e) {
+            log.error("Failed to start incremental aggregation", e);
+            // 중복 키 오류인 경우 경고로만 처리
+            if (e.getMessage().contains("중복된 키") || e.getMessage().contains("duplicate key")) {
+                log.warn("Duplicate key detected, job may have already processed this time bucket");
+            }
+        }
+    }
+//
+    /**
+     * 5분 단위 궤적 집계 처리 (4분 지연으로 위치 집계 이후 실행)
+     * 매 5분마다 실행 (4, 9, 14, 19, 24, 29, 34, 39, 44, 49, 54, 59분)
+     */
+    @Scheduled(cron = "0 4,9,14,19,24,29,34,39,44,49,54,59 * * * *")
+    public void runTrackAggregation() {
+        log.info("=== runTrackAggregation() called by thread: {} ===", Thread.currentThread().getName());
+        
+        if (!schedulerEnabled) {
+            log.debug("Scheduler is disabled");
+            return;
+        }
+        
+        // 실행 가드: 이미 실행 중이면 스킵
+        if (trackAggregationRunning) {
+            log.warn("Track aggregation is already running, skipping this execution - thread: {}", Thread.currentThread().getName());
+            return;
+        }
+        
+        trackAggregationRunning = true;
+        try {
+            // 4분 전 데이터를 처리 (위치 집계 완료 후)
+            LocalDateTime now = LocalDateTime.now();
+            LocalDateTime endTime = now.minusMinutes(incrementalDelayMinutes + 1); // 3+1=4분 지연
+            LocalDateTime startTime = endTime.minusMinutes(5);
+
+            // 5분 버킷 계산
+            LocalDateTime timeBucket = startTime
+                    .withSecond(0)
+                    .withNano(0)
+                    .minusMinutes(startTime.getMinute() % 5);
+
+            log.info("Starting track aggregation for period: {} to {} (bucket: {})",
+                    startTime, endTime, timeBucket);
+
+            // Timestamp 형식에 맞게 포매팅
+            DateTimeFormatter timestampFormatter = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss");
+
+            JobParameters params = new JobParametersBuilder()
+                    .addString("startTime", startTime.withNano(0).toString())
+                    .addString("endTime", endTime.withNano(0).toString())
+                    .addString("timeBucket", timeBucket.format(timestampFormatter))
+                    .addString("jobType", "TRACK_INCREMENTAL")
+                    // executionTime, nanoTime 제거 - timeBucket만으로 고유성 보장
+                    .toJobParameters();
+
+            log.info("=== ABOUT TO CALL jobLauncher.run() - Thread: {} ===", Thread.currentThread().getName());
+            JobExecution execution = jobLauncher.run(vesselTrackAggregationJob, params);
+            log.info("=== COMPLETED jobLauncher.run() - Thread: {} - Execution ID: {} ===", 
+                    Thread.currentThread().getName(), execution.getId());
+
+            log.info("Track aggregation started with execution ID: {}", execution.getId());
+
+        } catch (JobExecutionAlreadyRunningException e) {
+            log.warn("Previous track job is still running, skipping this execution");
+        } catch (Exception e) {
+            log.error("Failed to start track aggregation", e);
+            // 중복 키 오류인 경우 경고로만 처리
+            if (e.getMessage().contains("중복된 키") || e.getMessage().contains("duplicate key")) {
+                log.warn("Duplicate key detected, job may have already processed this time bucket");
+            }
+        } finally {
+            trackAggregationRunning = false;
+        }
+    }
+
+    /**
+     * 향상된 1시간 집계 스케줄 - 매시 10분
+     * 비정상 궤적 검출 기능 포함
+     */
+    @Scheduled(cron = "0 10 * * * *")
+    public void runHourlyAggregation() {
+        if (!schedulerEnabled || hourlyAggregationJob == null) {
+            log.debug("Hourly aggregation job is not available");
+            return;
+        }
+
+        try {
+            LocalDateTime now = LocalDateTime.now();
+            LocalDateTime startTime = now.minusHours(1).withMinute(0).withSecond(0).withNano(0);
+            LocalDateTime endTime = startTime.plusHours(1);
+
+            JobParameters params = new JobParametersBuilder()
+                    .addString("startTime", startTime.toString())
+                    .addString("endTime", endTime.toString())
+                    .addString("timeBucket", "hourly")
+                    .addString("executionTime", now.toString())
+                    .addString("enableAbnormalDetection", String.valueOf(abnormalDetectionEnabled))
+                    .toJobParameters();
+
+            JobExecution execution = jobLauncher.run(hourlyAggregationJob, params);
+            log.info("Started enhanced hourly aggregation job: {} for period {} to {} (abnormal detection: {})",
+                    execution.getId(), startTime, endTime, abnormalDetectionEnabled);
+        } catch (Exception e) {
+            log.error("Failed to start enhanced hourly aggregation job", e);
+        }
+    }
+
+    /**
+     * 향상된 1일 집계 스케줄 - 매일 01:00
+     * 비정상 궤적 검출 기능 포함
+     */
+    @Scheduled(cron = "0 0 1 * * *")
+    public void runDailyAggregation() {
+        if (!schedulerEnabled || dailyAggregationJob == null) {
+            log.debug("Enhanced daily aggregation job is not available");
+            return;
+        }
+
+        try {
+            LocalDateTime now = LocalDateTime.now();
+            LocalDateTime startTime = now.minusDays(1).withHour(0).withMinute(0).withSecond(0).withNano(0);
+            LocalDateTime endTime = startTime.plusDays(1);
+
+            JobParameters params = new JobParametersBuilder()
+                    .addString("startTime", startTime.toString())
+                    .addString("endTime", endTime.toString())
+                    .addString("timeBucket", "daily")
+                    .addString("executionTime", now.toString())
+                    .addString("enableAbnormalDetection", String.valueOf(abnormalDetectionEnabled))
+                    .toJobParameters();
+
+            JobExecution execution = jobLauncher.run(dailyAggregationJob, params);
+            log.info("Started enhanced daily aggregation job: {} for date {} (abnormal detection: {})",
+                    execution.getId(), startTime.toLocalDate(), abnormalDetectionEnabled);
+        } catch (Exception e) {
+            log.error("Failed to start enhanced daily aggregation job", e);
+        }
+    }
+
+    /**
+     * 비정상 궤적 통계 집계 (매일 02:00)
+     */
+    @Scheduled(cron = "0 0 2 * * *")
+    public void updateAbnormalTrackStatistics() {
+        if (!schedulerEnabled || !abnormalDetectionEnabled) {
+            return;
+        }
+
+        try {
+            log.info("Updating abnormal track statistics...");
+            // TODO: 통계 업데이트 로직 구현
+        } catch (Exception e) {
+            log.error("Failed to update abnormal track statistics", e);
+        }
+    }
+    /**
+     * 데이터 지연 모니터링 및 캐치업 작업 (10분마다)
+     */
+    @Scheduled(fixedDelay = 600000, initialDelay = 60000)
+    public void monitorAndCatchUp() {
+        if (!schedulerEnabled) {
+            return;
+        }
+
+        try {
+            // TODO: 데이터 지연 확인 로직 구현
+            // 지연이 10분 이상이면 캐치업 작업 실행
+
+        } catch (Exception e) {
+            log.error("Failed to monitor data delay", e);
+        }
+    }
+}

src/main/java/gc/mda/signal_batch/batch/job/VesselPositionCacheRefreshScheduler.java

@@ -0,0 +1,192 @@
+package gc.mda.signal_batch.batch.job;
+
+import gc.mda.signal_batch.domain.vessel.dto.RecentVesselPositionDto;
+import gc.mda.signal_batch.domain.vessel.service.VesselLatestPositionCache;
+import gc.mda.signal_batch.global.util.ShipKindCodeConverter;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.jdbc.core.RowMapper;
+import org.springframework.scheduling.annotation.Scheduled;
+import org.springframework.stereotype.Component;
+
+import java.math.BigDecimal;
+import java.sql.ResultSet;
+import java.sql.SQLException;
+import java.sql.Timestamp;
+import java.time.LocalDateTime;
+import java.util.List;
+
+/**
+ * 선박 최신 위치 캐시 갱신 스케줄러
+ *
+ * 실행 주기: 1분마다 (매분 0초)
+ * 데이터 소스: Collect DB (sig_test 테이블)
+ * 처리 방식: 읽기 전용 (DB에 쓰기 없음, 캐시만 업데이트)
+ *
+ * 동작 흐름:
+ * 1. 매분 0초에 실행
+ * 2. 최근 2분치 데이터를 DB에서 조회 (수집 지연 고려)
+ * 3. DISTINCT ON으로 선박별 최신 위치만 추출
+ * 4. 캐시에 업데이트
+ *
+ * 기존 배치와의 관계:
+ * - 기존 5분 배치는 그대로 유지 (DB 저장)
+ * - 이 스케줄러는 캐시만 관리 (읽기 전용)
+ * - 충돌 없음
+ */
+@Slf4j
+@Component
+@RequiredArgsConstructor
+@ConditionalOnProperty(name = "vessel.batch.cache.latest-position.enabled", havingValue = "true", matchIfMissing = false)
+public class VesselPositionCacheRefreshScheduler {
+
+    @Qualifier("collectJdbcTemplate")
+    private final JdbcTemplate collectJdbcTemplate;
+
+    private final VesselLatestPositionCache cache;
+
+    @Value("${vessel.batch.cache.latest-position.refresh-interval-minutes:2}")
+    private int refreshIntervalMinutes;
+
+    private volatile boolean isRunning = false;
+
+    /**
+     * 1분마다 캐시 갱신
+     * 매분 0초에 실행 (예: 10:00:00, 10:01:00, 10:02:00...)
+     */
+    @Scheduled(cron = "0 * * * * *")
+    public void refreshCache() {
+        // 동시 실행 방지
+        if (isRunning) {
+            log.warn("Previous cache refresh is still running, skipping this execution");
+            return;
+        }
+
+        isRunning = true;
+        long startTime = System.currentTimeMillis();
+
+        try {
+            // 최근 N분치 데이터 조회 (수집 지연 고려)
+            List<RecentVesselPositionDto> positions = fetchLatestPositions();
+
+            if (positions.isEmpty()) {
+                log.warn("No vessel positions found in last {} minutes", refreshIntervalMinutes);
+                return;
+            }
+
+            // 캐시 업데이트
+            cache.putAll(positions);
+
+            long duration = System.currentTimeMillis() - startTime;
+            log.info("Cache refresh completed in {}ms (fetched {} positions from DB)",
+                    duration, positions.size());
+
+            // 캐시 통계 로깅 (5분마다만)
+            if (LocalDateTime.now().getMinute() % 5 == 0) {
+                logCacheStats();
+            }
+
+        } catch (Exception e) {
+            log.error("Failed to refresh cache", e);
+        } finally {
+            isRunning = false;
+        }
+    }
+
+    /**
+     * DB에서 최신 위치 데이터 조회
+     */
+    private List<RecentVesselPositionDto> fetchLatestPositions() {
+        LocalDateTime endTime = LocalDateTime.now();
+        LocalDateTime startTime = endTime.minusMinutes(refreshIntervalMinutes);
+
+        String sql = """
+            SELECT DISTINCT ON (sig_src_cd, target_id)
+                sig_src_cd,
+                target_id,
+                lon,
+                lat,
+                sog,
+                cog,
+                ship_nm,
+                ship_ty,
+                message_time as last_update
+            FROM signal.sig_test
+            WHERE message_time >= ? AND message_time < ?
+                AND sig_src_cd NOT IN ('000004', '000005')
+                AND length(target_id) > 5
+                AND lat BETWEEN -90 AND 90
+                AND lon BETWEEN -180 AND 180
+            ORDER BY sig_src_cd, target_id, message_time DESC
+            """;
+
+        try {
+            return collectJdbcTemplate.query(sql,
+                    new Object[]{Timestamp.valueOf(startTime), Timestamp.valueOf(endTime)},
+                    new VesselPositionRowMapper());
+
+        } catch (Exception e) {
+            log.error("Failed to fetch positions from DB", e);
+            return List.of();
+        }
+    }
+
+    /**
+     * 캐시 통계 로깅
+     */
+    private void logCacheStats() {
+        try {
+            VesselLatestPositionCache.CacheStats stats = cache.getStats();
+            log.info("Cache Stats - Size: {}, HitRate: {:.2f}%, MissRate: {:.2f}%, Hits: {}, Misses: {}",
+                    stats.currentSize(),
+                    stats.hitRate(),
+                    stats.missRate(),
+                    stats.hitCount(),
+                    stats.missCount());
+        } catch (Exception e) {
+            log.warn("Failed to get cache stats", e);
+        }
+    }
+
+    /**
+     * RowMapper 구현
+     */
+    private static class VesselPositionRowMapper implements RowMapper<RecentVesselPositionDto> {
+        @Override
+        public RecentVesselPositionDto mapRow(ResultSet rs, int rowNum) throws SQLException {
+            String sigSrcCd = rs.getString("sig_src_cd");
+            String targetId = rs.getString("target_id");
+            String shipTy = rs.getString("ship_ty");
+
+            // shipKindCode 계산
+            String shipKindCode = ShipKindCodeConverter.getShipKindCode(sigSrcCd, shipTy);
+
+            // nationalCode 계산
+            String nationalCode;
+            if ("000001".equals(sigSrcCd) && targetId != null && targetId.length() >= 3) {
+                nationalCode = targetId.substring(0, 3);
+            } else {
+                nationalCode = "440"; // 기본값
+            }
+
+            return RecentVesselPositionDto.builder()
+                    .sigSrcCd(sigSrcCd)
+                    .targetId(targetId)
+                    .lon(rs.getDouble("lon"))
+                    .lat(rs.getDouble("lat"))
+                    .sog(rs.getBigDecimal("sog"))
+                    .cog(rs.getBigDecimal("cog"))
+                    .shipNm(rs.getString("ship_nm"))
+                    .shipTy(shipTy)
+                    .shipKindCode(shipKindCode)
+                    .nationalCode(nationalCode)
+                    .lastUpdate(rs.getTimestamp("last_update") != null ?
+                            rs.getTimestamp("last_update").toLocalDateTime() : null)
+                    .build();
+        }
+    }
+}

src/main/java/gc/mda/signal_batch/batch/job/VesselTrackAggregationJobConfig.java

@@ -0,0 +1,53 @@
+package gc.mda.signal_batch.batch.job;
+
+import gc.mda.signal_batch.global.util.VesselTrackDataJobListener;
+import gc.mda.signal_batch.batch.listener.JobCompletionListener;
+import gc.mda.signal_batch.batch.listener.PerformanceOptimizationListener;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.core.Job;
+import org.springframework.batch.core.JobParametersValidator;
+import org.springframework.batch.core.job.DefaultJobParametersValidator;
+import org.springframework.batch.core.job.builder.JobBuilder;
+import org.springframework.batch.core.launch.support.RunIdIncrementer;
+import org.springframework.batch.core.repository.JobRepository;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.context.annotation.Profile;
+
+@Slf4j
+@Configuration
+@Profile("!query")  // query 프로파일에서는 배치 작업 비활성화
+@RequiredArgsConstructor
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class VesselTrackAggregationJobConfig {
+    
+    private final JobRepository jobRepository;
+    private final VesselTrackStepConfig vesselTrackStepConfig;
+    private final JobCompletionListener jobCompletionListener;
+    private final VesselTrackDataJobListener vesselTrackDataJobListener;
+    private final PerformanceOptimizationListener performanceOptimizationListener;
+    
+    @Bean
+    public Job vesselTrackAggregationJob() {
+        return new JobBuilder("vesselTrackAggregationJob", jobRepository)
+                .incrementer(new RunIdIncrementer())
+                .validator(trackJobParametersValidator())
+                .listener(jobCompletionListener)
+                .listener(vesselTrackDataJobListener)
+                .listener(performanceOptimizationListener)  // 성능 최적화 리스너 추가
+                .start(vesselTrackStepConfig.vesselTrackStep())
+                .next(vesselTrackStepConfig.gridTrackSummaryStep())
+                .next(vesselTrackStepConfig.areaTrackSummaryStep())
+                .build();
+    }
+    
+    @Bean
+    public JobParametersValidator trackJobParametersValidator() {
+        DefaultJobParametersValidator validator = new DefaultJobParametersValidator();
+        validator.setRequiredKeys(new String[]{"startTime", "endTime", "timeBucket"});
+        validator.setOptionalKeys(new String[]{"executionTime", "processingDate"});
+        return validator;
+    }
+}

src/main/java/gc/mda/signal_batch/batch/job/VesselTrackStepConfig.java

@@ -0,0 +1,405 @@
+package gc.mda.signal_batch.batch.job;
+
+import gc.mda.signal_batch.domain.vessel.model.VesselData;
+import gc.mda.signal_batch.domain.vessel.model.VesselTrack;
+import gc.mda.signal_batch.batch.processor.VesselTrackProcessor;
+import gc.mda.signal_batch.batch.processor.AbnormalTrackDetector;
+import gc.mda.signal_batch.batch.processor.AbnormalTrackDetector.AbnormalDetectionResult;
+import gc.mda.signal_batch.batch.reader.InMemoryVesselTrackDataReader;
+import gc.mda.signal_batch.global.util.VesselTrackDataHolder;
+import gc.mda.signal_batch.global.util.TrackClippingUtils;
+import gc.mda.signal_batch.batch.writer.VesselTrackBulkWriter;
+import gc.mda.signal_batch.batch.writer.AbnormalTrackWriter;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.core.Step;
+import org.springframework.batch.core.configuration.annotation.StepScope;
+import org.springframework.batch.core.repository.JobRepository;
+import org.springframework.batch.core.step.builder.StepBuilder;
+import org.springframework.batch.item.ItemProcessor;
+import org.springframework.batch.item.ItemWriter;
+import org.springframework.batch.item.support.CompositeItemWriter;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.transaction.PlatformTransactionManager;
+
+import org.springframework.batch.item.Chunk;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.context.annotation.Profile;
+
+import javax.sql.DataSource;
+import java.sql.Timestamp;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.stream.Collectors;
+import jakarta.annotation.PostConstruct;
+
+
+@Slf4j
+@Configuration
+@Profile("!query")  // query 프로파일에서는 배치 작업 비활성화
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class VesselTrackStepConfig {
+
+    private final JobRepository jobRepository;
+    private final PlatformTransactionManager transactionManager;
+    private final DataSource queryDataSource;
+    private final VesselTrackProcessor vesselTrackProcessor;
+    private final VesselTrackDataHolder vesselTrackDataHolder;
+    private final VesselTrackBulkWriter vesselTrackBulkWriter;
+    private final TrackClippingUtils trackClippingUtils;
+    private final AbnormalTrackDetector abnormalTrackDetector;
+    private final AbnormalTrackWriter abnormalTrackWriter;
+
+    public VesselTrackStepConfig(
+            JobRepository jobRepository,
+            PlatformTransactionManager transactionManager,
+            @Qualifier("queryDataSource") DataSource queryDataSource,
+            VesselTrackProcessor vesselTrackProcessor,
+            VesselTrackDataHolder vesselTrackDataHolder,
+            VesselTrackBulkWriter vesselTrackBulkWriter,
+            TrackClippingUtils trackClippingUtils,
+            AbnormalTrackDetector abnormalTrackDetector,
+            AbnormalTrackWriter abnormalTrackWriter) {
+        this.jobRepository = jobRepository;
+        this.transactionManager = transactionManager;
+        this.queryDataSource = queryDataSource;
+        this.vesselTrackProcessor = vesselTrackProcessor;
+        this.vesselTrackDataHolder = vesselTrackDataHolder;
+        this.vesselTrackBulkWriter = vesselTrackBulkWriter;
+        this.trackClippingUtils = trackClippingUtils;
+        this.abnormalTrackDetector = abnormalTrackDetector;
+        this.abnormalTrackWriter = abnormalTrackWriter;
+    }
+
+    @Value("${vessel.batch.chunk-size:1000}")
+    private int chunkSize;
+    
+    @PostConstruct
+    public void init() {
+        // 5분 Job의 이름을 명시적으로 설정
+        abnormalTrackWriter.setJobName("vesselTrackAggregationJob");
+        log.info("AbnormalTrackWriter initialized with job name: vesselTrackAggregationJob");
+    }
+
+    @Bean
+    public Step vesselTrackStep() {
+        return new StepBuilder("vesselTrackStep", jobRepository)
+                .<List<VesselData>, List<VesselTrack>>chunk(chunkSize, transactionManager)
+                .reader(trackDataReader())
+                .processor(trackProcessorWithSimpleFilter())
+                .writer(compositeTrackWriter())
+                .build();
+    }
+
+    @Bean
+    @StepScope
+    public InMemoryVesselTrackDataReader trackDataReader() {
+        return new InMemoryVesselTrackDataReader(vesselTrackDataHolder, chunkSize);
+    }
+
+    @Bean
+    @StepScope
+    public ItemProcessor<List<VesselData>, List<VesselTrack>> trackProcessorWithSimpleFilter() {
+        return items -> {
+            // 1. 기본 처리
+            List<VesselTrack> tracks = vesselTrackProcessor.process(items);
+            if (tracks == null || tracks.isEmpty()) {
+                return null;
+            }
+            
+            // 2. 강화된 비정상 궤적 필터링
+            List<VesselTrack> filteredTracks = new ArrayList<>();
+            for (VesselTrack track : tracks) {
+                boolean isAbnormal = false;
+                
+                // 선박/항공기 구분
+                boolean isAircraft = "000019".equals(track.getSigSrcCd());
+                double speedLimit = isAircraft ? 300.0 : 100.0;  // 항공기 300, 선박 100
+                double distanceLimit = isAircraft ? 30.0 : 10.0; // 항공기 30nm, 선박 10nm
+                
+                // 평균속도 체크
+                if (track.getAvgSpeed() != null && track.getAvgSpeed().doubleValue() >= speedLimit) {
+                    isAbnormal = true;
+                }
+                
+                // 5분간 이동거리 체크
+                if (track.getDistanceNm() != null && track.getDistanceNm().doubleValue() >= distanceLimit) {
+                    isAbnormal = true;
+                }
+                
+                if (isAbnormal) {
+                    log.warn("5분 비정상 궤적 감지: vessel={}, avg_speed={}, distance={}", 
+                        track.getVesselKey(), track.getAvgSpeed(), track.getDistanceNm());
+                    saveAbnormalTrack(track);
+                } else {
+                    filteredTracks.add(track);
+                }
+            }
+            
+            return filteredTracks.isEmpty() ? null : filteredTracks;
+        };
+    }
+    
+    private void saveAbnormalTrack(VesselTrack track) {
+        try {
+            // Job 이름 설정
+            abnormalTrackWriter.setJobName("vesselTrackAggregationJob");
+            
+            List<AbnormalTrackDetector.AbnormalSegment> segments = new ArrayList<>();
+            Map<String, Object> details = new HashMap<>();
+            details.put("avgSpeed", track.getAvgSpeed());
+            details.put("distanceNm", track.getDistanceNm());
+            details.put("timeBucket", track.getTimeBucket());
+            
+            // 선박/항공기 구분
+            boolean isAircraft = "000019".equals(track.getSigSrcCd());
+            double speedLimit = isAircraft ? 300.0 : 100.0;
+            double distanceLimit = isAircraft ? 30.0 : 10.0;
+            
+            // 비정상 유형 결정
+            String abnormalType = "abnormal_5min";
+            double actualValue = 0.0;
+            double threshold = 0.0;
+            String description = "";
+            
+            if (track.getAvgSpeed() != null && track.getAvgSpeed().doubleValue() >= speedLimit) {
+                abnormalType = "extreme_avg_speed_5min";
+                actualValue = track.getAvgSpeed().doubleValue();
+                threshold = speedLimit;
+                description = String.format("5분 비정상 평균속도: %.1f knots", actualValue);
+            } else if (track.getDistanceNm() != null && track.getDistanceNm().doubleValue() >= distanceLimit) {
+                abnormalType = "extreme_distance_5min";
+                actualValue = track.getDistanceNm().doubleValue();
+                threshold = distanceLimit;
+                description = String.format("5분 비정상 이동거리: %.1f nm", actualValue);
+            }
+            
+            segments.add(AbnormalTrackDetector.AbnormalSegment.builder()
+                .type(abnormalType)
+                .startIndex(0)
+                .endIndex(track.getPointCount() - 1)
+                .actualValue(actualValue)
+                .threshold(threshold)
+                .description(description)
+                .details(details)
+                .build());
+            
+            AbnormalDetectionResult result = AbnormalTrackDetector.AbnormalDetectionResult.builder()
+                .originalTrack(track)
+                .correctedTrack(null)
+                .abnormalSegments(segments)
+                .hasAbnormalities(true)
+                .build();
+            
+            abnormalTrackWriter.write(new Chunk<>(Arrays.asList(result)));
+        } catch (Exception e) {
+            log.error("Failed to save 5min abnormal track", e);
+        }
+    }
+
+    // CompositeItemWriter로 3개 테이블에 동시 저장
+    @Bean
+    @StepScope
+    public ItemWriter<List<VesselTrack>> compositeTrackWriter() {
+        CompositeItemWriter<List<VesselTrack>> compositeWriter = new CompositeItemWriter<>();
+        compositeWriter.setDelegates(Arrays.asList(
+                vesselTrackWriter(),
+                gridTrackWriter(),
+                areaTrackWriter()
+        ));
+        return compositeWriter;
+    }
+
+    @Bean
+    @StepScope
+    public ItemWriter<List<VesselTrack>> vesselTrackWriter() {
+        return vesselTrackBulkWriter;
+    }
+
+    @Bean
+    @StepScope
+    public ItemWriter<List<VesselTrack>> gridTrackWriter() {
+        return chunk -> {
+            // 각 track을 해구별로 분할
+            List<VesselTrack> allClippedTracks = new ArrayList<>();
+
+            for (List<VesselTrack> trackList : chunk.getItems()) {
+                for (VesselTrack track : trackList) {
+                    List<VesselTrack> clippedTracks = trackClippingUtils.clipTracksByHaegu(track);
+                    allClippedTracks.addAll(clippedTracks);
+                }
+            }
+
+            if (allClippedTracks.isEmpty()) {
+                log.debug("No tracks to write to grid table after clipping");
+                return;
+            }
+
+            String sql = """
+                INSERT INTO signal.t_grid_vessel_tracks (
+                    haegu_no, sig_src_cd, target_id, time_bucket,
+                    distance_nm, avg_speed, point_count, entry_time, exit_time
+                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
+                ON CONFLICT (haegu_no, sig_src_cd, target_id, time_bucket) DO NOTHING
+            """;
+
+            List<Object[]> args = allClippedTracks.stream()
+                    .map(track -> new Object[] {
+                            track.getHaeguNo(),
+                            track.getSigSrcCd(),
+                            track.getTargetId(),
+                            Timestamp.valueOf(track.getTimeBucket()),
+                            track.getDistanceNm(),
+                            track.getAvgSpeed(),
+                            track.getPointCount(),
+                            track.getEntryTime() != null ? Timestamp.valueOf(track.getEntryTime()) : null,
+                            track.getExitTime() != null ? Timestamp.valueOf(track.getExitTime()) : null
+                    })
+                    .collect(Collectors.toList());
+
+            int[] results = new JdbcTemplate(queryDataSource).batchUpdate(sql, args);
+            log.info("Inserted {} clipped records to t_grid_vessel_tracks", results.length);
+        };
+    }
+
+    @Bean
+    @StepScope
+    public ItemWriter<List<VesselTrack>> areaTrackWriter() {
+        return chunk -> {
+            // 각 track을 area별로 분할
+            List<VesselTrack> allClippedTracks = new ArrayList<>();
+
+            for (List<VesselTrack> trackList : chunk.getItems()) {
+                for (VesselTrack track : trackList) {
+                    List<VesselTrack> clippedTracks = trackClippingUtils.clipTracksByArea(track);
+                    allClippedTracks.addAll(clippedTracks);
+                }
+            }
+
+            if (allClippedTracks.isEmpty()) {
+                log.debug("No tracks to write to area table after clipping");
+                return;
+            }
+
+            String sql = """
+                INSERT INTO signal.t_area_vessel_tracks (
+                    area_id, sig_src_cd, target_id, time_bucket,
+                    distance_nm, avg_speed, point_count, metrics
+                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?::jsonb)
+                ON CONFLICT (area_id, sig_src_cd, target_id, time_bucket) DO NOTHING
+            """;
+
+            List<Object[]> args = allClippedTracks.stream()
+                    .map(track -> new Object[] {
+                            track.getAreaId(),
+                            track.getSigSrcCd(),
+                            track.getTargetId(),
+                            Timestamp.valueOf(track.getTimeBucket()),
+                            track.getDistanceNm(),
+                            track.getAvgSpeed(),
+                            track.getPointCount(),
+                            "{}"
+                    })
+                    .collect(Collectors.toList());
+
+            int[] results = new JdbcTemplate(queryDataSource).batchUpdate(sql, args);
+            log.info("Inserted {} clipped records to t_area_vessel_tracks", results.length);
+        };
+    }
+
+    // 집계 스텝들 (변경 없음)
+    @Bean
+    public Step gridTrackSummaryStep() {
+        return new StepBuilder("gridTrackSummaryStep", jobRepository)
+                .tasklet((contribution, chunkContext) -> {
+                    JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+
+                    String sql = """
+                        INSERT INTO signal.t_grid_tracks_summary 
+                        (haegu_no, time_bucket, total_vessels, total_distance_nm, avg_speed, vessel_list)
+                        SELECT 
+                            haegu_no,
+                            time_bucket,
+                            COUNT(DISTINCT CONCAT(sig_src_cd, '_', target_id)) as total_vessels,
+                            SUM(distance_nm) as total_distance_nm,
+                            AVG(avg_speed) as avg_speed,
+                            jsonb_agg(jsonb_build_object(
+                                'sig_src_cd', sig_src_cd,
+                                'target_id', target_id,
+                                'distance_nm', distance_nm,
+                                'avg_speed', avg_speed
+                            )) as vessel_list
+                        FROM signal.t_grid_vessel_tracks
+                        WHERE time_bucket = ?
+                        GROUP BY haegu_no, time_bucket
+                        ON CONFLICT (haegu_no, time_bucket) 
+                        DO UPDATE SET
+                            total_vessels = EXCLUDED.total_vessels,
+                            total_distance_nm = EXCLUDED.total_distance_nm,
+                            avg_speed = EXCLUDED.avg_speed,
+                            vessel_list = EXCLUDED.vessel_list
+                    """;
+
+                    String timeBucketStr = (String) chunkContext.getStepContext()
+                            .getJobParameters().get("timeBucket");
+                    Timestamp timeBucket = Timestamp.valueOf(timeBucketStr);
+
+                    int updated = jdbcTemplate.update(sql, timeBucket);
+                    log.info("Updated {} grid track summaries for time_bucket: {}", updated, timeBucket);
+
+                    return org.springframework.batch.repeat.RepeatStatus.FINISHED;
+                }, transactionManager)
+                .build();
+    }
+
+    @Bean
+    public Step areaTrackSummaryStep() {
+        return new StepBuilder("areaTrackSummaryStep", jobRepository)
+                .tasklet((contribution, chunkContext) -> {
+                    JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+
+                    String sql = """
+                        INSERT INTO signal.t_area_tracks_summary 
+                        (area_id, time_bucket, total_vessels, total_distance_nm, avg_speed, vessel_list)
+                        SELECT 
+                            area_id,
+                            time_bucket,
+                            COUNT(DISTINCT CONCAT(sig_src_cd, '_', target_id)) as total_vessels,
+                            SUM(distance_nm) as total_distance_nm,
+                            AVG(avg_speed) as avg_speed,
+                            jsonb_agg(jsonb_build_object(
+                                'sig_src_cd', sig_src_cd,
+                                'target_id', target_id,
+                                'distance_nm', distance_nm,
+                                'avg_speed', avg_speed
+                            )) as vessel_list
+                        FROM signal.t_area_vessel_tracks
+                        WHERE time_bucket = ?
+                        GROUP BY area_id, time_bucket
+                        ON CONFLICT (area_id, time_bucket) 
+                        DO UPDATE SET
+                            total_vessels = EXCLUDED.total_vessels,
+                            total_distance_nm = EXCLUDED.total_distance_nm,
+                            avg_speed = EXCLUDED.avg_speed,
+                            vessel_list = EXCLUDED.vessel_list
+                    """;
+
+                    String timeBucketStr = (String) chunkContext.getStepContext()
+                            .getJobParameters().get("timeBucket");
+                    Timestamp timeBucket = Timestamp.valueOf(timeBucketStr);
+
+                    int updated = jdbcTemplate.update(sql, timeBucket);
+                    log.info("Updated {} area track summaries for time_bucket: {}", updated, timeBucket);
+
+                    return org.springframework.batch.repeat.RepeatStatus.FINISHED;
+                }, transactionManager)
+                .build();
+    }
+}

src/main/java/gc/mda/signal_batch/batch/listener/JobCompletionListener.java

@@ -0,0 +1,138 @@
+package gc.mda.signal_batch.batch.listener;
+
+import gc.mda.signal_batch.global.util.BatchUtils;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.core.JobExecution;
+import org.springframework.batch.core.JobExecutionListener;
+import org.springframework.batch.core.StepExecution;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.stereotype.Component;
+
+import java.time.Duration;
+import java.time.LocalDateTime;
+
+
+@Slf4j
+@Component
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+@RequiredArgsConstructor
+public class JobCompletionListener implements JobExecutionListener {
+
+    @Qualifier("queryJdbcTemplate")
+    private final JdbcTemplate queryJdbcTemplate;
+
+    private final BatchUtils batchUtils;
+
+    @Override
+    public void beforeJob(JobExecution jobExecution) {
+        log.info("=== Starting Job: {} ===", jobExecution.getJobInstance().getJobName());
+        log.info("Job Parameters: {}", jobExecution.getJobParameters());
+
+        // 메모리 상태 로깅
+        batchUtils.logMemoryUsage("Job Start");
+
+        // 이전 실행 정리 (필요한 경우)
+//        cleanupPreviousRun(jobExecution);
+    }
+
+    @Override
+    public void afterJob(JobExecution jobExecution) {
+        log.info("=== Job Completed: {} ===", jobExecution.getJobInstance().getJobName());
+        log.info("Status: {}", jobExecution.getStatus());
+
+        // 실행 요약
+        String summary = batchUtils.getJobExecutionSummary(jobExecution);
+        log.info("Execution Summary:\n{}", summary);
+
+        // 성능 메트릭 저장
+        savePerformanceMetrics(jobExecution);
+
+        // 메모리 상태 로깅
+        batchUtils.logMemoryUsage("Job End");
+
+        // 실패 시 알림
+        if (jobExecution.getStatus().isUnsuccessful()) {
+            sendFailureNotification(jobExecution);
+        }
+    }
+
+    @SuppressWarnings("unused")
+    private void cleanupPreviousRun(JobExecution jobExecution) {
+        // 임시 테이블 정리 등
+        try {
+            queryJdbcTemplate.execute("TRUNCATE TABLE IF EXISTS temp_vessel_processing");
+        } catch (Exception e) {
+            log.warn("Failed to cleanup previous run: {}", e.getMessage());
+        }
+    }
+
+    private void savePerformanceMetrics(JobExecution jobExecution) {
+        try {
+            LocalDateTime startTime = jobExecution.getStartTime();
+            LocalDateTime endTime = jobExecution.getEndTime();
+
+            // null 체크 추가
+            if (startTime == null || endTime == null) {
+                log.warn("Cannot save performance metrics - start or end time is null");
+                return;
+            }
+
+            // LocalDateTime으로 직접 Duration 계산
+            Duration duration = Duration.between(startTime, endTime);
+
+            long totalRead = 0;
+            long totalWrite = 0;
+
+            for (StepExecution stepExecution : jobExecution.getStepExecutions()) {
+                totalRead += stepExecution.getReadCount();
+                totalWrite += stepExecution.getWriteCount();
+            }
+
+            double throughput = batchUtils.calculateThroughput(totalRead, duration);
+
+            String sql = """
+                INSERT INTO signal.t_batch_performance_metrics (
+                    job_name, execution_id, start_time, end_time,
+                    duration_seconds, total_read, total_write,
+                    throughput_per_sec, status, created_at
+                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+            """;
+
+            queryJdbcTemplate.update(sql,
+                    jobExecution.getJobInstance().getJobName(),
+                    jobExecution.getId(),
+                    startTime,
+                    endTime,
+                    duration.getSeconds(),
+                    totalRead,
+                    totalWrite,
+                    throughput,
+                    jobExecution.getStatus().toString(),
+                    LocalDateTime.now()
+            );
+
+            log.info("Performance metrics saved - Duration: {} seconds, Throughput: {} records/sec",
+                    duration.getSeconds(), throughput);
+
+        } catch (Exception e) {
+            log.error("Failed to save performance metrics", e);
+        }
+    }
+
+    private void sendFailureNotification(JobExecution jobExecution) {
+        // 실패 알림 로직 (이메일, Slack 등)
+        log.error("Job {} failed with status: {}",
+                jobExecution.getJobInstance().getJobName(),
+                jobExecution.getStatus()
+        );
+
+        if (jobExecution.getAllFailureExceptions() != null && !jobExecution.getAllFailureExceptions().isEmpty()) {
+            jobExecution.getAllFailureExceptions().forEach(e ->
+                    log.error("Failure reason: ", e)
+            );
+        }
+    }
+}

src/main/java/gc/mda/signal_batch/batch/listener/PerformanceOptimizationListener.java

@@ -0,0 +1,163 @@
+package gc.mda.signal_batch.batch.listener;
+
+import gc.mda.signal_batch.monitoring.health.BatchMetricsCollector;
+import gc.mda.signal_batch.monitoring.performance.BatchProcessingOptimizer;
+import gc.mda.signal_batch.monitoring.performance.PerformanceOptimizationManager;
+import gc.mda.signal_batch.monitoring.performance.QueryPerformanceOptimizer;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.core.*;
+import org.springframework.batch.core.annotation.AfterChunk;
+import org.springframework.batch.core.annotation.BeforeChunk;
+import org.springframework.batch.core.scope.context.ChunkContext;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.stereotype.Component;
+
+import java.time.Duration;
+import java.time.LocalDateTime;
+import java.util.concurrent.ConcurrentHashMap;
+
+/**
+ * 성능 최적화 리스너
+ * 배치 작업 실행 중 성능 최적화를 자동으로 수행
+ */
+@Slf4j
+@Component
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+@RequiredArgsConstructor
+public class PerformanceOptimizationListener implements JobExecutionListener, StepExecutionListener, ChunkListener {
+
+    private final PerformanceOptimizationManager optimizationManager;
+    private final BatchProcessingOptimizer batchOptimizer;
+    private final QueryPerformanceOptimizer queryOptimizer;
+    @SuppressWarnings("unused")
+    private final BatchMetricsCollector metricsCollector;
+
+    private final ConcurrentHashMap<String, LocalDateTime> executionStartTimes = new ConcurrentHashMap<>();
+    private final ConcurrentHashMap<String, Integer> currentChunkSizes = new ConcurrentHashMap<>();
+
+    @Override
+    public void beforeJob(JobExecution jobExecution) {
+        String jobName = jobExecution.getJobInstance().getJobName();
+        log.info("Starting performance optimization for job: {}", jobName);
+        
+        // 메모리 상태 확인 및 최적화
+        if (optimizationManager.getStatus().getMemoryUsage().getPercentage() > 70) {
+            log.warn("High memory usage detected before job start, performing optimization");
+            optimizationManager.performMemoryOptimization();
+        }
+        
+        executionStartTimes.put(jobName, LocalDateTime.now());
+    }
+
+    @Override
+    public void afterJob(JobExecution jobExecution) {
+        String jobName = jobExecution.getJobInstance().getJobName();
+        LocalDateTime startTime = executionStartTimes.remove(jobName);
+        
+        if (startTime != null) {
+            Duration duration = Duration.between(startTime, LocalDateTime.now());
+            log.info("Job {} completed in {} seconds", jobName, duration.getSeconds());
+            
+            // 성능 리포트 생성
+            if (jobExecution.getStatus() == BatchStatus.COMPLETED) {
+                String report = optimizationManager.generatePerformanceReport();
+                log.info("Performance Report for job {}: {}", jobName, report);
+            }
+        }
+    }
+
+    @Override
+    public void beforeStep(StepExecution stepExecution) {
+        String stepName = stepExecution.getStepName();
+        executionStartTimes.put(stepName, LocalDateTime.now());
+        
+        // 초기 청크 크기 설정
+        Long chunkSizeParam = stepExecution.getJobParameters().getLong("chunkSize", 5000L);
+        int chunkSize = chunkSizeParam != null ? chunkSizeParam.intValue() : 5000;
+        currentChunkSizes.put(stepName, chunkSize);
+        
+        log.debug("Starting step {} with chunk size: {}", stepName, chunkSize);
+    }
+
+    @Override
+    public ExitStatus afterStep(StepExecution stepExecution) {
+        String stepName = stepExecution.getStepName();
+        LocalDateTime startTime = executionStartTimes.remove(stepName);
+        
+        if (startTime != null) {
+            Duration duration = Duration.between(startTime, LocalDateTime.now());
+            Long readCountParam = stepExecution.getReadCount();
+            int readCount = readCountParam != null ? readCountParam.intValue() : 0;
+            
+            // 동적 청크 크기 최적화
+            Integer currentChunkSize = currentChunkSizes.get(stepName);
+            if (currentChunkSize != null && readCount > 0) {
+                int optimalChunkSize = batchOptimizer.calculateOptimalChunkSize(
+                    stepName, 
+                    currentChunkSize, 
+                    duration.toMillis(), 
+                    readCount
+                );
+                
+                if (optimalChunkSize != currentChunkSize) {
+                    log.info("Recommended chunk size for step {} changed from {} to {}", 
+                            stepName, currentChunkSize, optimalChunkSize);
+                    // 다음 실행을 위해 저장
+                    stepExecution.getExecutionContext().putInt("optimalChunkSize", optimalChunkSize);
+                }
+            }
+            
+            // 쿼리 성능 기록
+            queryOptimizer.recordQueryPerformance(stepName, duration.toMillis());
+        }
+        
+        return stepExecution.getExitStatus();
+    }
+
+    @BeforeChunk
+    public void beforeChunk(ChunkContext context) {
+        String stepName = context.getStepContext().getStepName();
+        context.setAttribute("chunkStartTime", System.currentTimeMillis());
+        
+        // 캐시 히트율 모니터링
+        if (optimizationManager.getStatus().getCacheHitRate() < 50) {
+            log.warn("Low cache hit rate detected in step: {}", stepName);
+        }
+    }
+
+    @AfterChunk
+    public void afterChunk(ChunkContext context) {
+        String stepName = context.getStepContext().getStepName();
+        Long startTime = (Long) context.getAttribute("chunkStartTime");
+        
+        if (startTime != null) {
+            long duration = System.currentTimeMillis() - startTime;
+            
+            // 청크 처리 시간이 너무 길면 경고
+            if (duration > 10000) { // 10초 이상
+                log.warn("Chunk processing in step {} took {} ms", stepName, duration);
+                
+                // 메모리 압박 확인
+                if (optimizationManager.getStatus().getMemoryUsage().getPercentage() > 85) {
+                    log.error("Critical memory usage during chunk processing, triggering optimization");
+                    optimizationManager.performMemoryOptimization();
+                }
+            }
+        }
+    }
+
+    @Override
+    public void afterChunkError(ChunkContext context) {
+        String stepName = context.getStepContext().getStepName();
+        log.error("Chunk error in step: {}", stepName);
+        
+        // 에러 발생 시 청크 크기 자동 감소
+        Integer currentChunkSize = currentChunkSizes.get(stepName);
+        if (currentChunkSize != null && currentChunkSize > 1000) {
+            int reducedSize = (int) (currentChunkSize * 0.5);
+            currentChunkSizes.put(stepName, reducedSize);
+            log.warn("Reducing chunk size for step {} to {} due to error", stepName, reducedSize);
+        }
+    }
+}

src/main/java/gc/mda/signal_batch/batch/processor/AbnormalTrackDetector.java

@@ -0,0 +1,409 @@
+package gc.mda.signal_batch.batch.processor;
+
+import gc.mda.signal_batch.domain.vessel.model.VesselTrack;
+import lombok.Builder;
+import lombok.Data;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.stereotype.Component;
+
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * 비정상 궤적 검출기 - 최종 개선 버전
+ * 기기 오작동이나 네트워크 문제로 인한 명백한 비정상 궤적만 검출
+ * 데이터 gap과 단일 포인트 케이스 처리
+ */
+@Slf4j
+@Component
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class AbnormalTrackDetector {
+    
+    @Value("${batch.track.abnormal-detection.extreme-speed-threshold:1000}")
+    private double extremeSpeedThreshold;
+    
+    // 물리적 한계값 (매우 관대하게 설정)
+    @SuppressWarnings("unused")
+    private static final double VESSEL_PHYSICAL_LIMIT_KNOTS = 100.0;   // 선박 물리적 한계
+    @SuppressWarnings("unused")
+    private static final double AIRCRAFT_PHYSICAL_LIMIT_KNOTS = 600.0;  // 항공기 물리적 한계
+    
+    // 명백한 비정상만 검출하기 위한 임계값
+    private static final double VESSEL_ABNORMAL_SPEED_KNOTS = 500.0;    // 선박 비정상 속도 (매우 관대)
+    private static final double AIRCRAFT_ABNORMAL_SPEED_KNOTS = 800.0;  // 항공기 비정상 속도
+    
+    // 시간별 거리 임계값 (제곱근 스케일링 적용)
+    private static final double BASE_DISTANCE_5MIN_NM = 20.0;  // 5분간 기준 거리 (2배로 증가)
+    private static final double MIN_MOVEMENT_NM = 0.01;       // 최소 이동거리 (정박 판단)
+    private static final double STATIONARY_SPEED_KNOTS = 0.5; // 정박 속도 기준
+    
+    // 데이터 gap 허용치
+    private static final long MAX_NORMAL_GAP_MINUTES = 120;    // 2시간까지는 정상 gap으로 간주
+    private static final long MIN_GAP_FOR_RELAXED_CHECK = 30;  // 30분 이상 gap은 완화된 검사
+    
+    private static final double EARTH_RADIUS_NM = 3440.065;
+    private static final String AIRCRAFT_SIG_SRC_CD = "000019";
+    
+    @Data
+    @Builder
+    public static class AbnormalSegment {
+        private String type;
+        private int startIndex;
+        private int endIndex;
+        private double actualValue;
+        private double threshold;
+        private String description;
+        private Map<String, Object> details;
+    }
+    
+    @Data
+    @Builder
+    public static class AbnormalDetectionResult {
+        private VesselTrack originalTrack;
+        private VesselTrack correctedTrack;
+        private List<AbnormalSegment> abnormalSegments;
+        private boolean hasAbnormalities;
+        
+        public boolean hasAbnormalities() {
+            return abnormalSegments != null && !abnormalSegments.isEmpty();
+        }
+    }
+    
+    /**
+     * 5분 데이터용 비정상 검출 - 명백한 비정상만 검출
+     */
+    public AbnormalDetectionResult detectAbnormalTrack(VesselTrack track, VesselTrack previousTrack) {
+        List<AbnormalSegment> abnormalSegments = new ArrayList<>();
+        
+        // 정박 상태 체크
+        if (isStationary(track)) {
+            log.debug("정박/저속 선박으로 판단, 비정상 검출 스킵 - vessel: {}, distance: {}nm, avgSpeed: {}kts",
+                    track.getVesselKey(), track.getDistanceNm(), track.getAvgSpeed());
+            return buildNormalResult(track);
+        }
+        
+        // 1. 집계 메트릭 기반 검출 (매우 관대한 기준)
+        abnormalSegments.addAll(checkAggregatedMetricsLenient(track));
+        
+        // 2. 이전 궤적과의 연결점 검증 (있는 경우에만)
+        if (previousTrack != null && !isStationary(previousTrack)) {
+            abnormalSegments.addAll(checkBucketTransitionLenient(previousTrack, track));
+        }
+        
+        // 비정상이 없으면 정상 처리
+        if (abnormalSegments.isEmpty()) {
+            return buildNormalResult(track);
+        }
+        
+        // 명백한 비정상만 제외
+        VesselTrack correctedTrack = shouldExcludeTrack(abnormalSegments) ? null : track;
+        
+        log.info("명백한 비정상 궤적 검출 - vessel: {}, type: {}, value: {}",
+                track.getVesselKey(), 
+                abnormalSegments.get(0).getType(),
+                abnormalSegments.get(0).getActualValue());
+        
+        return AbnormalDetectionResult.builder()
+                .originalTrack(track)
+                .correctedTrack(correctedTrack)
+                .abnormalSegments(abnormalSegments)
+                .hasAbnormalities(true)
+                .build();
+    }
+    
+    /**
+     * Hourly/Daily 집계용 - Bucket 간 연결점만 매우 관대하게 검사
+     */
+    public AbnormalDetectionResult detectBucketTransitionOnly(VesselTrack track, VesselTrack previousTrack) {
+        // 5분 데이터는 이미 검증되었으므로 bucket 간 전환만 확인
+        if (previousTrack == null) {
+            return buildNormalResult(track);
+        }
+        
+        List<AbnormalSegment> abnormalSegments = checkBucketTransitionVeryLenient(previousTrack, track);
+        
+        if (abnormalSegments.isEmpty()) {
+            return buildNormalResult(track);
+        }
+        
+        // Hourly/Daily에서는 선박/항공기 구분하여 제외
+        boolean isAircraft = AIRCRAFT_SIG_SRC_CD.equals(track.getSigSrcCd());
+        double speedLimit = isAircraft ? 300.0 : 100.0; // 항공기 300, 선박 100
+        
+        boolean shouldExclude = abnormalSegments.stream()
+                .anyMatch(seg -> seg.getActualValue() > speedLimit);
+        
+        VesselTrack correctedTrack = shouldExclude ? null : track;
+        
+        if (shouldExclude) {
+            log.info("Hourly/Daily 명백한 비정상 전환 - vessel: {}, speed: {} knots",
+                    track.getVesselKey(), abnormalSegments.get(0).getActualValue());
+        }
+        
+        return AbnormalDetectionResult.builder()
+                .originalTrack(track)
+                .correctedTrack(correctedTrack)
+                .abnormalSegments(abnormalSegments)
+                .hasAbnormalities(!abnormalSegments.isEmpty())
+                .build();
+    }
+    
+    /**
+     * 정박/저속 상태 판단
+     */
+    private boolean isStationary(VesselTrack track) {
+        if (track.getDistanceNm() == null || track.getAvgSpeed() == null) {
+            return false;
+        }
+        
+        // 거리가 매우 작고 평균속도가 낮으면 정박 상태
+        return track.getDistanceNm().doubleValue() < MIN_MOVEMENT_NM ||
+               track.getAvgSpeed().doubleValue() < STATIONARY_SPEED_KNOTS;
+    }
+    
+    /**
+     * 단일 포인트 트랙인지 확인
+     */
+    private boolean isSinglePointTrack(VesselTrack track) {
+        if (track.getStartPosition() == null || track.getEndPosition() == null) {
+            return false;
+        }
+        
+        // 시작과 끝 위치가 동일하고 시간도 동일하면 단일 포인트
+        return track.getStartPosition().getLat().equals(track.getEndPosition().getLat()) &&
+               track.getStartPosition().getLon().equals(track.getEndPosition().getLon()) &&
+               track.getStartPosition().getTime().equals(track.getEndPosition().getTime());
+    }
+    
+    /**
+     * 관대한 집계 메트릭 검사 (5분 데이터용)
+     */
+    private List<AbnormalSegment> checkAggregatedMetricsLenient(VesselTrack track) {
+        List<AbnormalSegment> abnormalSegments = new ArrayList<>();
+        
+        boolean isAircraft = AIRCRAFT_SIG_SRC_CD.equals(track.getSigSrcCd());
+        double speedLimit = isAircraft ? AIRCRAFT_ABNORMAL_SPEED_KNOTS : VESSEL_ABNORMAL_SPEED_KNOTS;
+        
+        // 평균속도가 명백히 비정상인 경우만 검출
+        if (track.getAvgSpeed() != null && track.getAvgSpeed().doubleValue() > speedLimit) {
+            abnormalSegments.add(AbnormalSegment.builder()
+                    .type("extreme_speed")
+                    .actualValue(track.getAvgSpeed().doubleValue())
+                    .threshold(speedLimit)
+                    .description(String.format("극단적 비정상 속도: %.1f knots", 
+                            track.getAvgSpeed().doubleValue()))
+                    .build());
+        }
+        
+        // 5분간 극단적 이동거리 (예: 100nm 이상)
+        if (track.getDistanceNm() != null && track.getDistanceNm().doubleValue() > 100.0) {
+            abnormalSegments.add(AbnormalSegment.builder()
+                    .type("extreme_distance")
+                    .actualValue(track.getDistanceNm().doubleValue())
+                    .threshold(100.0)
+                    .description(String.format("5분간 극단적 이동: %.1f nm", 
+                            track.getDistanceNm().doubleValue()))
+                    .build());
+        }
+        
+        return abnormalSegments;
+    }
+    
+    /**
+     * 관대한 Bucket 전환 검사 (5분 데이터용)
+     */
+    private List<AbnormalSegment> checkBucketTransitionLenient(VesselTrack previousTrack, VesselTrack currentTrack) {
+        List<AbnormalSegment> abnormalSegments = new ArrayList<>();
+        
+        if (previousTrack.getEndPosition() == null || currentTrack.getStartPosition() == null) {
+            return abnormalSegments;
+        }
+        
+        // 둘 중 하나가 단일 포인트면 검사 스킵
+        if (isSinglePointTrack(previousTrack) || isSinglePointTrack(currentTrack)) {
+            log.debug("단일 포인트 트랙 감지, bucket 전환 검사 스킵");
+            return abnormalSegments;
+        }
+        
+        double distance = calculateDistance(
+                previousTrack.getEndPosition().getLat(), 
+                previousTrack.getEndPosition().getLon(),
+                currentTrack.getStartPosition().getLat(),
+                currentTrack.getStartPosition().getLon()
+        );
+        
+        long durationMinutes = java.time.Duration.between(
+                previousTrack.getEndPosition().getTime(),
+                currentTrack.getStartPosition().getTime()
+        ).toMinutes();
+        
+        if (durationMinutes <= 0) return abnormalSegments;
+        
+        // 데이터 gap이 큰 경우 더 관대한 기준 적용
+        boolean hasLargeGap = durationMinutes > MIN_GAP_FOR_RELAXED_CHECK;
+        boolean isNormalGap = durationMinutes <= MAX_NORMAL_GAP_MINUTES;
+        
+        if (hasLargeGap && isNormalGap) {
+            log.debug("데이터 gap {} 분 감지, 완화된 검사 적용", durationMinutes);
+            // Gap이 30분~2시간인 경우 매우 관대한 기준
+            return abnormalSegments;
+        }
+        
+        double impliedSpeed = (distance * 60.0) / durationMinutes;
+        
+        // 제곱근 스케일링으로 시간에 따른 거리 임계값 계산
+        double timeScale = Math.sqrt(durationMinutes / 5.0);
+        double distanceThreshold = BASE_DISTANCE_5MIN_NM * timeScale * 3.0; // 3배 여유
+        
+        boolean isAircraft = AIRCRAFT_SIG_SRC_CD.equals(currentTrack.getSigSrcCd());
+        double speedLimit = isAircraft ? AIRCRAFT_ABNORMAL_SPEED_KNOTS : VESSEL_ABNORMAL_SPEED_KNOTS;
+        
+        // 매우 명백한 비정상만 검출
+        if (impliedSpeed > speedLimit && distance > distanceThreshold) {
+            Map<String, Object> details = new HashMap<>();
+            details.put("distance", distance);
+            details.put("duration", durationMinutes);
+            details.put("impliedSpeed", impliedSpeed);
+            details.put("distanceThreshold", distanceThreshold);
+            details.put("hasGap", hasLargeGap);
+            
+            abnormalSegments.add(AbnormalSegment.builder()
+                    .type("extreme_transition")
+                    .actualValue(impliedSpeed)
+                    .threshold(speedLimit)
+                    .description(String.format("극단적 bucket 전환: %.1f knots", impliedSpeed))
+                    .details(details)
+                    .build());
+        }
+        
+        return abnormalSegments;
+    }
+    
+    /**
+     * 매우 관대한 Bucket 전환 검사 (Hourly/Daily용) - 수정됨
+     */
+    private List<AbnormalSegment> checkBucketTransitionVeryLenient(VesselTrack previousTrack, VesselTrack currentTrack) {
+        List<AbnormalSegment> abnormalSegments = new ArrayList<>();
+        
+        if (previousTrack.getEndPosition() == null || currentTrack.getStartPosition() == null) {
+            return abnormalSegments;
+        }
+        
+        // 둘 중 하나가 단일 포인트면 검사 스킵
+        if (isSinglePointTrack(previousTrack) || isSinglePointTrack(currentTrack)) {
+            return abnormalSegments;
+        }
+        
+        // 거리 계산 (집계된 위치 기반)
+        double distance = calculateDistance(
+                previousTrack.getEndPosition().getLat(), 
+                previousTrack.getEndPosition().getLon(),
+                currentTrack.getStartPosition().getLat(),
+                currentTrack.getStartPosition().getLon()
+        );
+        
+        // 시간 계산 - 위치 정보의 시간 사용
+        long durationMinutes = java.time.Duration.between(
+                previousTrack.getEndPosition().getTime(),
+                currentTrack.getStartPosition().getTime()
+        ).toMinutes();
+        
+        if (durationMinutes <= 0) return abnormalSegments;
+        
+        // Hourly/Daily는 데이터 gap이 클 수 있으므로 매우 관대하게
+        if (durationMinutes > MAX_NORMAL_GAP_MINUTES) {
+            log.debug("Hourly/Daily 큰 gap {} 분 감지", durationMinutes);
+            
+            // 매우 긴 gap이지만 물리적으로 불가능한 속도는 여전히 검출
+            double impliedSpeed = (distance * 60.0) / durationMinutes;
+            if (impliedSpeed > extremeSpeedThreshold) {
+                Map<String, Object> details = new HashMap<>();
+                details.put("distance", distance);
+                details.put("duration", durationMinutes);
+                details.put("impliedSpeed", impliedSpeed);
+                details.put("largeGap", true);
+                
+                abnormalSegments.add(AbnormalSegment.builder()
+                        .type("extreme_large_gap_transition")
+                        .actualValue(impliedSpeed)
+                        .threshold(extremeSpeedThreshold)
+                        .description(String.format("Large gap extreme transition: %.1f knots over %d hours", 
+                                impliedSpeed, durationMinutes / 60))
+                        .details(details)
+                        .build());
+                        
+                log.info("Large gap extreme transition detected - vessel: {}, speed: {} knots, gap: {} hours",
+                        currentTrack.getVesselKey(), Math.round(impliedSpeed), durationMinutes / 60);
+            }
+            
+            return abnormalSegments;
+        }
+        
+        double impliedSpeed = (distance * 60.0) / durationMinutes;
+        
+        // Hourly/Daily는 선박/항공기 구분하여 처리
+        boolean isAircraft = AIRCRAFT_SIG_SRC_CD.equals(currentTrack.getSigSrcCd());
+        double speedLimit = isAircraft ? 300.0 : 100.0;
+        
+        if (impliedSpeed > speedLimit) {
+            Map<String, Object> details = new HashMap<>();
+            details.put("distance", distance);
+            details.put("duration", durationMinutes);
+            details.put("impliedSpeed", impliedSpeed);
+            details.put("prevEndTime", previousTrack.getEndPosition().getTime());
+            details.put("currStartTime", currentTrack.getStartPosition().getTime());
+            
+            abnormalSegments.add(AbnormalSegment.builder()
+                    .type("impossible_transition")
+                    .actualValue(impliedSpeed)
+                    .threshold(speedLimit)
+                    .description(String.format("물리적 불가능 전환: %.1f knots", impliedSpeed))
+                    .details(details)
+                    .build());
+        }
+        
+        return abnormalSegments;
+    }
+    
+    /**
+     * 정상 결과 생성
+     */
+    private AbnormalDetectionResult buildNormalResult(VesselTrack track) {
+        return AbnormalDetectionResult.builder()
+                .originalTrack(track)
+                .correctedTrack(track)
+                .abnormalSegments(new ArrayList<>())
+                .hasAbnormalities(false)
+                .build();
+    }
+    
+    /**
+     * 트랙 제외 여부 판단
+     */
+    private boolean shouldExcludeTrack(List<AbnormalSegment> abnormalSegments) {
+        // extreme_* 타입의 비정상만 제외
+        return abnormalSegments.stream()
+                .anyMatch(seg -> seg.getType().startsWith("extreme_") || 
+                               seg.getType().equals("impossible_transition"));
+    }
+    
+    /**
+     * Haversine 거리 계산
+     */
+    private double calculateDistance(double lat1, double lon1, double lat2, double lon2) {
+        double dLat = Math.toRadians(lat2 - lat1);
+        double dLon = Math.toRadians(lon2 - lon1);
+        
+        double a = Math.sin(dLat / 2) * Math.sin(dLat / 2) +
+                   Math.cos(Math.toRadians(lat1)) * Math.cos(Math.toRadians(lat2)) *
+                   Math.sin(dLon / 2) * Math.sin(dLon / 2);
+        
+        double c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));
+        
+        return EARTH_RADIUS_NM * c;
+    }
+}

src/main/java/gc/mda/signal_batch/batch/processor/AccumulatingAreaProcessor.java

@@ -0,0 +1,190 @@
+package gc.mda.signal_batch.batch.processor;
+
+import gc.mda.signal_batch.domain.vessel.model.VesselData;
+import gc.mda.signal_batch.batch.processor.AreaStatisticsProcessor.AreaStatistics;
+import gc.mda.signal_batch.batch.processor.AreaStatisticsProcessor.VesselMovement;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.core.StepExecution;
+import org.springframework.batch.core.annotation.AfterStep;
+import org.springframework.batch.core.annotation.BeforeStep;
+import org.springframework.batch.core.configuration.annotation.StepScope;
+import org.springframework.batch.item.ItemProcessor;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.stereotype.Component;
+
+import java.math.BigDecimal;
+import java.time.LocalDateTime;
+import java.time.temporal.ChronoUnit;
+import java.util.*;
+import java.util.concurrent.ConcurrentHashMap;
+
+/**
+ * Area Statistics를 위한 누적 프로세서
+ * 전체 데이터를 메모리에 누적한 후 Step 종료 시 한 번에 집계
+ */
+@Slf4j
+@Component
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+@StepScope
+@RequiredArgsConstructor
+public class AccumulatingAreaProcessor implements ItemProcessor<VesselData, AreaStatistics> {
+
+    private final AreaStatisticsProcessor areaStatisticsProcessor;
+
+    @Value("#{jobParameters['timeBucketMinutes']}")
+    private Integer timeBucketMinutes;
+
+    // area_id + time_bucket별 선박 데이터 누적
+    private final Map<String, List<VesselData>> dataAccumulator = new ConcurrentHashMap<>();
+
+    // 처리 통계
+    private long processedCount = 0;
+    private long skippedCount = 0;
+
+    @BeforeStep
+    public void beforeStep(StepExecution stepExecution) {
+        int bucketMinutes = (timeBucketMinutes != null) ? timeBucketMinutes : 5;
+        log.info("AccumulatingAreaProcessor initialized with timeBucket: {} minutes", bucketMinutes);
+        dataAccumulator.clear();
+        processedCount = 0;
+        skippedCount = 0;
+    }
+
+    @Override
+    public AreaStatistics process(VesselData item) throws Exception {
+        if (!item.isValidPosition()) {
+            skippedCount++;
+            return null;
+        }
+
+        // 메모리에서 속한 구역 찾기
+        List<String> areaIds = areaStatisticsProcessor.findAreasForPointInMemory(
+                item.getLat(), item.getLon()
+        );
+
+        if (areaIds.isEmpty()) {
+            return null;
+        }
+
+        // time bucket 계산
+        int bucketSize = timeBucketMinutes != null ? timeBucketMinutes : 5;
+        LocalDateTime bucket = item.getMessageTime()
+                .truncatedTo(ChronoUnit.MINUTES)
+                .withMinute((item.getMessageTime().getMinute() / bucketSize) * bucketSize);
+
+        // 각 area에 대해 데이터 누적
+        for (String areaId : areaIds) {
+            String key = areaId + "||" + bucket.toString();  // 구분자 변경
+            dataAccumulator.computeIfAbsent(key, k -> new ArrayList<>()).add(item);
+        }
+
+        processedCount++;
+
+        // null 반환으로 개별 출력 방지
+        return null;
+    }
+
+    @AfterStep
+    public void afterStep(StepExecution stepExecution) {
+        log.info("Processing accumulated data for {} area-timebucket combinations",
+                dataAccumulator.size());
+        log.info("Processed: {}, Skipped: {}", processedCount, skippedCount);
+
+        if (dataAccumulator.isEmpty()) {
+            return;
+        }
+
+        // 누적된 데이터를 기반으로 통계 계산
+        List<AreaStatistics> allStatistics = new ArrayList<>();
+
+        dataAccumulator.forEach((key, vessels) -> {
+            String[] parts = key.split("\\|\\|", 2);  // || 구분자 사용
+            if (parts.length != 2) {
+                log.error("Invalid key format: {}", key);
+                return;
+            }
+            String areaId = parts[0];
+            LocalDateTime timeBucket = LocalDateTime.parse(parts[1]);
+
+            AreaStatistics stats = new AreaStatistics(areaId, timeBucket);
+            Map<String, VesselMovement> vesselMovements = new HashMap<>();
+
+            // 각 선박별로 movement 정보 계산
+            Map<String, List<VesselData>> vesselGroups = new HashMap<>();
+            for (VesselData vessel : vessels) {
+                vesselGroups.computeIfAbsent(vessel.getVesselKey(), k -> new ArrayList<>())
+                        .add(vessel);
+            }
+
+            vesselGroups.forEach((vesselKey, vesselDataList) -> {
+                // 시간순 정렬
+                vesselDataList.sort(Comparator.comparing(VesselData::getMessageTime));
+
+                VesselMovement movement = new VesselMovement();
+                movement.setVesselKey(vesselKey);
+                movement.setEnterTime(vesselDataList.get(0).getMessageTime());
+                movement.setExitTime(vesselDataList.get(vesselDataList.size() - 1).getMessageTime());
+                movement.setPointCount(vesselDataList.size());
+
+                // 평균 속도 계산
+                double totalSpeed = 0;
+                int speedCount = 0;
+                for (VesselData vd : vesselDataList) {
+                    if (vd.getSog() != null) {
+                        totalSpeed += vd.getSog().doubleValue();
+                        speedCount++;
+                    }
+                }
+
+                if (speedCount > 0) {
+                    movement.setAvgSpeed(BigDecimal.valueOf(totalSpeed / speedCount)
+                            .setScale(2, BigDecimal.ROUND_HALF_UP));
+                } else {
+                    movement.setAvgSpeed(BigDecimal.ZERO);
+                }
+
+                // 정류/통과 구분 (10분 이상 체류 시 정류)
+                long stayMinutes = ChronoUnit.MINUTES.between(
+                        movement.getEnterTime(), movement.getExitTime()
+                );
+
+                if (stayMinutes > 10) {
+                    stats.getStationaryVessels().put(vesselKey, movement);
+                } else {
+                    stats.getTransitVessels().put(vesselKey, movement);
+                }
+
+                vesselMovements.put(vesselKey, movement);
+            });
+
+            // 통계 최종 계산
+            stats.setVesselCount(vesselMovements.size());
+            stats.setInCount(vesselMovements.size()); // 진입 선박 수
+            stats.setOutCount(0); // 추후 로직 개선 필요
+
+            // 전체 평균 속도
+            List<BigDecimal> allSpeeds = new ArrayList<>();
+            vesselMovements.values().stream()
+                    .map(VesselMovement::getAvgSpeed)
+                    .filter(Objects::nonNull)
+                    .forEach(allSpeeds::add);
+
+            if (!allSpeeds.isEmpty()) {
+                BigDecimal totalSpeed = allSpeeds.stream()
+                        .reduce(BigDecimal.ZERO, BigDecimal::add);
+                stats.setAvgSog(totalSpeed.divide(
+                        BigDecimal.valueOf(allSpeeds.size()), 2, BigDecimal.ROUND_HALF_UP));
+            } else {
+                stats.setAvgSog(BigDecimal.ZERO);
+            }
+
+            allStatistics.add(stats);
+        });
+
+        // StepExecution context에 결과 저장
+        stepExecution.getExecutionContext().put("areaStatistics", allStatistics);
+        log.info("Calculated statistics for {} areas", allStatistics.size());
+    }
+}

src/main/java/gc/mda/signal_batch/batch/processor/AccumulatingTileProcessor.java

@@ -0,0 +1,206 @@
+package gc.mda.signal_batch.batch.processor;
+
+import gc.mda.signal_batch.domain.gis.model.TileStatistics;
+import gc.mda.signal_batch.domain.vessel.model.VesselData;
+import gc.mda.signal_batch.global.util.HaeguGeoUtils;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.core.StepExecution;
+import org.springframework.batch.core.annotation.AfterStep;
+import org.springframework.batch.core.annotation.BeforeStep;
+import org.springframework.batch.core.configuration.annotation.StepScope;
+import org.springframework.batch.item.ItemProcessor;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.stereotype.Component;
+
+import java.math.BigDecimal;
+import java.time.LocalDateTime;
+import java.time.temporal.ChronoUnit;
+import java.util.*;
+import java.util.concurrent.ConcurrentHashMap;
+
+
+/**
+ * 전체 데이터를 누적하여 집계하는 프로세서
+ * Step 실행 중 모든 데이터를 메모리에 누적하고, Step 완료 시 한 번에 출력
+ */
+@Slf4j
+@Component
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+@StepScope
+@RequiredArgsConstructor
+public class AccumulatingTileProcessor implements ItemProcessor<VesselData, TileStatistics> {
+
+    private final HaeguGeoUtils geoUtils;
+
+    @Value("#{jobParameters['tileLevel']}")
+    private Integer tileLevel;
+
+    @Value("#{jobParameters['timeBucketMinutes']}")
+    private Integer timeBucketMinutes;
+
+    // 전체 집계를 위한 누적 맵
+    private final Map<String, TileStatistics> accumulator = new ConcurrentHashMap<>();
+    
+    // 처리된 레코드 수 추적
+    private long processedCount = 0;
+    private long skippedCount = 0;
+
+    @BeforeStep
+    public void beforeStep(StepExecution stepExecution) {
+        int level = (tileLevel != null) ? tileLevel : 1;
+        int bucketMinutes = (timeBucketMinutes != null) ? timeBucketMinutes : 5;
+        
+        log.info("Starting AccumulatingTileProcessor - tileLevel: {}, timeBucket: {} minutes", 
+                level, bucketMinutes);
+        
+        // 초기화
+        accumulator.clear();
+        processedCount = 0;
+        skippedCount = 0;
+    }
+
+    @Override
+    public TileStatistics process(VesselData item) throws Exception {
+        if (item == null || !item.isValidPosition()) {
+            skippedCount++;
+            return null;
+        }
+
+        processedCount++;
+        
+        int level = (tileLevel != null) ? tileLevel : 1;
+        int bucketMinutes = (timeBucketMinutes != null) ? timeBucketMinutes : 5;
+
+        LocalDateTime bucket = item.getMessageTime()
+                .truncatedTo(ChronoUnit.MINUTES)
+                .withMinute((item.getMessageTime().getMinute() / bucketMinutes) * bucketMinutes);
+
+        // Level 0 (대해구) 처리
+        if (level >= 0) {
+            processLevel0(item, bucket);
+        }
+
+        // Level 1 (소해구) 처리
+        if (level >= 1) {
+            processLevel1(item, bucket);
+        }
+
+        // 10000건마다 진행 상황 로그
+        if (processedCount % 10000 == 0) {
+            log.debug("Processed {} records, accumulated {} tiles", 
+                    processedCount, accumulator.size());
+        }
+
+        // null 반환 - 실제 출력은 AfterStep에서 수행
+        return null;
+    }
+
+    private void processLevel0(VesselData item, LocalDateTime bucket) {
+        HaeguGeoUtils.HaeguTileInfo level0Info = geoUtils.getHaeguTileInfo(
+            item.getLat(), item.getLon(), 0
+        );
+        
+        if (level0Info != null) {
+            String key = generateKey(level0Info.tileId, 0, bucket);
+            
+            accumulator.compute(key, (k, existing) -> {
+                if (existing == null) {
+                    existing = TileStatistics.builder()
+                            .tileId(level0Info.tileId)
+                            .tileLevel(0)
+                            .timeBucket(bucket)
+                            .uniqueVessels(new HashMap<>())
+                            .totalPoints(0L)
+                            .avgSog(BigDecimal.ZERO)
+                            .maxSog(BigDecimal.ZERO)
+                            .build();
+                }
+                existing.addVesselData(item);
+                return existing;
+            });
+        }
+    }
+
+    private void processLevel1(VesselData item, LocalDateTime bucket) {
+        HaeguGeoUtils.HaeguTileInfo level1Info = geoUtils.getHaeguTileInfo(
+            item.getLat(), item.getLon(), 1
+        );
+        
+        if (level1Info != null && level1Info.sohaeguNo != null) {
+            String key = generateKey(level1Info.tileId, 1, bucket);
+            
+            accumulator.compute(key, (k, existing) -> {
+                if (existing == null) {
+                    existing = TileStatistics.builder()
+                            .tileId(level1Info.tileId)
+                            .tileLevel(1)
+                            .timeBucket(bucket)
+                            .uniqueVessels(new HashMap<>())
+                            .totalPoints(0L)
+                            .avgSog(BigDecimal.ZERO)
+                            .maxSog(BigDecimal.ZERO)
+                            .build();
+                }
+                existing.addVesselData(item);
+                return existing;
+            });
+        }
+    }
+
+    private String generateKey(String tileId, int tileLevel, LocalDateTime timeBucket) {
+        return String.format("%s|%d|%s", tileId, tileLevel, timeBucket);
+    }
+
+    @AfterStep
+    public void afterStep(StepExecution stepExecution) {
+        log.info("AccumulatingTileProcessor completed - processed: {}, skipped: {}, tiles: {}", 
+                processedCount, skippedCount, accumulator.size());
+
+        // 밀도 계산
+        accumulator.values().forEach(this::calculateDensity);
+
+        // 메트릭 저장
+        stepExecution.getExecutionContext().putLong("totalProcessed", processedCount);
+        stepExecution.getExecutionContext().putLong("totalSkipped", skippedCount);
+        stepExecution.getExecutionContext().putInt("totalTiles", accumulator.size());
+        
+        // 이 위치에서 바로 DB에 저장하면 안됨 - StepListener에서 처리해야 함
+        log.info("Accumulated {} tiles ready for writing", accumulator.size());
+    }
+
+    private void calculateDensity(TileStatistics stats) {
+        if (stats.getVesselCount() == null || stats.getVesselCount() == 0) {
+            stats.setVesselDensity(BigDecimal.ZERO);
+            return;
+        }
+
+        double tileArea = geoUtils.getTileArea(stats.getTileId());
+        
+        if (tileArea > 0) {
+            BigDecimal density = BigDecimal.valueOf(stats.getVesselCount())
+                    .divide(BigDecimal.valueOf(tileArea), 6, BigDecimal.ROUND_HALF_UP);
+            stats.setVesselDensity(density);
+        } else {
+            stats.setVesselDensity(BigDecimal.ZERO);
+        }
+    }
+
+    /**
+     * 누적된 결과 반환 (테스트용)
+     */
+    public List<TileStatistics> getAccumulatedResults() {
+        log.info("[AccumulatingTileProcessor] getAccumulatedResults called - size: {}", accumulator.size());
+        return new ArrayList<>(accumulator.values());
+    }
+
+    /**
+     * 누적 데이터 초기화
+     */
+    public void clear() {
+        accumulator.clear();
+        processedCount = 0;
+        skippedCount = 0;
+    }
+}

src/main/java/gc/mda/signal_batch/batch/processor/AreaStatisticsProcessor.java

@@ -0,0 +1,333 @@
+package gc.mda.signal_batch.batch.processor;
+
+import gc.mda.signal_batch.domain.vessel.model.VesselData;
+import gc.mda.signal_batch.global.util.DataSourceLogger;
+import lombok.Data;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.locationtech.jts.geom.*;
+import org.locationtech.jts.io.WKTReader;
+import org.springframework.batch.core.configuration.annotation.StepScope;
+import org.springframework.batch.item.ItemProcessor;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.stereotype.Component;
+
+import javax.sql.DataSource;
+import jakarta.annotation.PostConstruct;
+import java.math.BigDecimal;
+import java.time.LocalDateTime;
+import java.time.temporal.ChronoUnit;
+import java.util.*;
+import java.util.concurrent.ConcurrentHashMap;
+import java.util.stream.Collectors;
+
+
+@Slf4j
+@Component
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+@RequiredArgsConstructor
+public class AreaStatisticsProcessor {
+
+    @Qualifier("queryJdbcTemplate")
+    private final JdbcTemplate queryJdbcTemplate;
+
+    @Qualifier("queryDataSource")
+    private final DataSource queryDataSource;
+
+    // 메모리에 구역 정보 캐싱
+    private final Map<String, AreaInfo> areaCache = new ConcurrentHashMap<>();
+    private final List<AreaInfo> areaList = new ArrayList<>();
+
+    // JTS 객체들
+    private final GeometryFactory geometryFactory = new GeometryFactory(new PrecisionModel(), 4326);
+    private final WKTReader wktReader = new WKTReader(geometryFactory);
+
+    @PostConstruct
+    public void init() {
+        log.info("========== AreaStatisticsProcessor Initialization ==========");
+        DataSourceLogger.logJdbcTemplateInfo("AreaStatisticsProcessor", queryJdbcTemplate);
+
+        // t_areas 테이블 존재 확인
+        boolean tableExists = DataSourceLogger.checkTableExists(
+                "AreaStatisticsProcessor", queryJdbcTemplate, "signal", "t_areas"
+        );
+
+        if (!tableExists) {
+            log.error("CRITICAL: Table signal.t_areas does not exist in query database!");
+            log.error("Please run: scripts/sql/create-query-db-schema.sql on the query database");
+        } else {
+            // 초기화 시 구역 정보 로드
+            loadAreas();
+        }
+
+        log.info("========== End of Initialization ==========");
+    }
+
+    @Data
+    public static class AreaInfo {
+        private String areaId;
+        private String areaName;
+        private String areaType;
+        private String geomWkt;
+        private Geometry geometry;  // JTS Geometry 객체
+        private Envelope envelope;  // Bounding Box for quick filtering
+    }
+
+    @Data
+    public static class AreaStatistics implements java.io.Serializable {
+        private String areaId;
+        private LocalDateTime timeBucket;
+        private Integer vesselCount;
+        private Integer inCount;
+        private Integer outCount;
+        private Map<String, VesselMovement> transitVessels;
+        private Map<String, VesselMovement> stationaryVessels;
+        private BigDecimal avgSog;
+        private LocalDateTime createdAt;
+
+        public AreaStatistics(String areaId, LocalDateTime timeBucket) {
+            this.areaId = areaId;
+            this.timeBucket = timeBucket;
+            this.vesselCount = 0;
+            this.inCount = 0;
+            this.outCount = 0;
+            this.transitVessels = new HashMap<>();
+            this.stationaryVessels = new HashMap<>();
+            this.avgSog = BigDecimal.ZERO;
+        }
+    }
+
+    @Data
+    public static class VesselMovement implements java.io.Serializable {
+        private String vesselKey;
+        private LocalDateTime enterTime;
+        private LocalDateTime exitTime;
+        private BigDecimal avgSpeed;
+        private Integer pointCount;
+    }
+
+    @StepScope
+    public ItemProcessor<List<VesselData>, List<AreaStatistics>> batchProcessor() {
+        return batchProcessor(null);
+    }
+
+    @StepScope
+    public ItemProcessor<List<VesselData>, List<AreaStatistics>> batchProcessor(
+            @Value("#{jobParameters['timeBucketMinutes']}") Integer bucketMinutes) {
+
+        return items -> {
+            // 구역 정보가 없으면 빈 결과 반환
+            if (areaList.isEmpty()) {
+                log.warn("No areas loaded, skipping area statistics processing");
+                return new ArrayList<>();
+            }
+
+            Map<String, AreaStatistics> statsMap = new HashMap<>();
+            Map<String, Map<String, VesselMovement>> vesselTracker = new HashMap<>();
+
+            for (VesselData item : items) {
+                if (!item.isValidPosition()) {
+                    continue;
+                }
+
+                // 메모리에서 속한 구역 찾기 (DB 쿼리 없음!)
+                List<String> areaIds = findAreasForPointInMemory(item.getLat(), item.getLon());
+
+                int bucketSize = bucketMinutes != null ? bucketMinutes : 5;  // 5분 단위로 변경
+                LocalDateTime bucket = item.getMessageTime()
+                        .truncatedTo(ChronoUnit.MINUTES)
+                        .withMinute((item.getMessageTime().getMinute() / bucketSize) * bucketSize);
+
+                for (String areaId : areaIds) {
+                    String statsKey = areaId + "_" + bucket.toString();
+                    AreaStatistics stats = statsMap.computeIfAbsent(statsKey,
+                            k -> new AreaStatistics(areaId, bucket)
+                    );
+
+                    // 선박 이동 추적
+                    String vesselKey = item.getVesselKey();
+                    Map<String, VesselMovement> areaVessels = vesselTracker.computeIfAbsent(
+                            areaId, k -> new HashMap<>()
+                    );
+
+                    VesselMovement movement = areaVessels.computeIfAbsent(vesselKey,
+                            k -> {
+                                VesselMovement vm = new VesselMovement();
+                                vm.setVesselKey(vesselKey);
+                                vm.setEnterTime(item.getMessageTime());
+                                vm.setPointCount(0);
+                                vm.setAvgSpeed(BigDecimal.ZERO);
+                                stats.setInCount(stats.getInCount() + 1);
+                                return vm;
+                            }
+                    );
+
+                    movement.setExitTime(item.getMessageTime());
+                    movement.setPointCount(movement.getPointCount() + 1);
+
+                    // 평균 속도 계산
+                    if (item.getSog() != null) {
+                        BigDecimal currentTotal = movement.getAvgSpeed()
+                                .multiply(BigDecimal.valueOf(movement.getPointCount() - 1));
+                        movement.setAvgSpeed(
+                                currentTotal.add(item.getSog())
+                                        .divide(BigDecimal.valueOf(movement.getPointCount()), 2, BigDecimal.ROUND_HALF_UP)
+                        );
+                    }
+
+                    // 정류/통과 구분 (10분 이상 체류 시 정류)
+                    long stayMinutes = ChronoUnit.MINUTES.between(
+                            movement.getEnterTime(), movement.getExitTime()
+                    );
+
+                    if (stayMinutes > 10) {
+                        stats.getStationaryVessels().put(vesselKey, movement);
+                    } else {
+                        stats.getTransitVessels().put(vesselKey, movement);
+                    }
+                }
+            }
+
+            // 통계 최종 계산
+            statsMap.values().forEach(stats -> {
+                stats.setVesselCount(
+                        stats.getTransitVessels().size() + stats.getStationaryVessels().size()
+                );
+
+                // 평균 속도 계산
+                List<BigDecimal> allSpeeds = new ArrayList<>();
+                stats.getTransitVessels().values().stream()
+                        .map(VesselMovement::getAvgSpeed)
+                        .filter(Objects::nonNull)
+                        .forEach(allSpeeds::add);
+                stats.getStationaryVessels().values().stream()
+                        .map(VesselMovement::getAvgSpeed)
+                        .filter(Objects::nonNull)
+                        .forEach(allSpeeds::add);
+
+                if (!allSpeeds.isEmpty()) {
+                    BigDecimal totalSpeed = allSpeeds.stream()
+                            .reduce(BigDecimal.ZERO, BigDecimal::add);
+                    stats.setAvgSog(
+                            totalSpeed.divide(BigDecimal.valueOf(allSpeeds.size()), 2, BigDecimal.ROUND_HALF_UP)
+                    );
+                }
+            });
+
+            return new ArrayList<>(statsMap.values());
+        };
+    }
+
+    private void loadAreas() {
+        log.info("Loading areas from query database...");
+        DataSourceLogger.logJdbcTemplateInfo("AreaStatisticsProcessor.loadAreas", queryJdbcTemplate);
+
+        String sql = "SELECT area_id, area_name, area_type, public.ST_AsText(area_geom) as geom_wkt FROM signal.t_areas";
+
+        try {
+            boolean exists = DataSourceLogger.checkTableExists(
+                    "AreaStatisticsProcessor.loadAreas", queryJdbcTemplate, "signal", "t_areas"
+            );
+
+            if (exists) {
+                List<AreaInfo> areas = queryJdbcTemplate.query(sql, (rs, rowNum) -> {
+                    AreaInfo area = new AreaInfo();
+                    area.setAreaId(rs.getString("area_id"));
+                    area.setAreaName(rs.getString("area_name"));
+                    area.setAreaType(rs.getString("area_type"));
+                    area.setGeomWkt(rs.getString("geom_wkt"));
+
+                    // WKT를 JTS Geometry로 변환
+                    try {
+                        Geometry geom = wktReader.read(area.getGeomWkt());
+                        area.setGeometry(geom);
+                        area.setEnvelope(geom.getEnvelopeInternal());
+                    } catch (Exception e) {
+                        log.error("Failed to parse WKT for area {}: {}", area.getAreaId(), e.getMessage());
+                    }
+
+                    return area;
+                });
+
+                areas.forEach(area -> {
+                    areaCache.put(area.getAreaId(), area);
+                    areaList.add(area);
+                });
+
+                log.info("Successfully loaded {} areas into memory cache", areas.size());
+                log.info("Area types: {}", areas.stream()
+                        .collect(java.util.stream.Collectors.groupingBy(
+                                AreaInfo::getAreaType,
+                                java.util.stream.Collectors.counting()
+                        )));
+            } else {
+                log.error("Cannot load areas - table signal.t_areas does not exist!");
+            }
+        } catch (Exception e) {
+            log.error("Failed to load areas", e);
+        }
+    }
+
+    /**
+     * 메모리에서 포인트가 속한 구역 찾기 (DB 쿼리 없음!)
+     */
+    public List<String> findAreasForPointInMemory(double lat, double lon) {
+
+        // JTS Point 생성
+        Point point = geometryFactory.createPoint(new Coordinate(lon, lat));
+
+        return areaList.parallelStream()
+                .filter(area -> area.getGeometry() != null)
+                .filter(area -> area.getEnvelope().contains(lon, lat))
+                .filter(area -> {
+                    try {
+                        return area.getGeometry().contains(point);
+                    } catch (Exception e) {
+                        return false;
+                    }
+                })
+                .map(AreaInfo::getAreaId)
+                .collect(Collectors.toList());
+//        List<String> areaIds = new ArrayList<>();
+//        // 모든 구역에 대해 contains 검사
+//        for (AreaInfo area : areaList) {
+//            if (area.getGeometry() == null) {
+//                continue;
+//            }
+//
+//            // 1. Envelope(Bounding Box)로 빠른 필터링
+//            if (!area.getEnvelope().contains(lon, lat)) {
+//                continue;
+//            }
+//
+//            // 2. 정확한 contains 검사
+//            try {
+//                if (area.getGeometry().contains(point)) {
+//                    areaIds.add(area.getAreaId());
+//                }
+//            } catch (Exception e) {
+//                log.debug("Error checking contains for area {}: {}", area.getAreaId(), e.getMessage());
+//            }
+//        }
+//
+//        return areaIds;
+
+    }
+
+    /**
+     * 캐시 상태 조회 (디버깅/모니터링용)
+     */
+    public Map<String, Object> getCacheStats() {
+        Map<String, Object> stats = new HashMap<>();
+        stats.put("loadedAreas", areaList.size());
+        stats.put("areaTypes", areaList.stream()
+                .collect(java.util.stream.Collectors.groupingBy(
+                        AreaInfo::getAreaType,
+                        java.util.stream.Collectors.counting()
+                )));
+        return stats;
+    }
+}

src/main/java/gc/mda/signal_batch/batch/processor/BaseTrackProcessorWithAbnormalDetection.java

@@ -0,0 +1,138 @@
+package gc.mda.signal_batch.batch.processor;
+
+import gc.mda.signal_batch.domain.vessel.model.VesselTrack;
+import gc.mda.signal_batch.batch.processor.AbnormalTrackDetector.AbnormalDetectionResult;
+import gc.mda.signal_batch.global.util.LineStringMUtils;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.item.ItemProcessor;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.jdbc.core.JdbcTemplate;
+
+import javax.sql.DataSource;
+import java.math.BigDecimal;
+import java.sql.Timestamp;
+import java.time.LocalDateTime;
+import java.time.format.DateTimeFormatter;
+
+
+/**
+ * 시간별/일별 궤적 프로세서 기본 클래스 - 비정상 궤적 검출 기능 포함
+ */
+@Slf4j
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+@RequiredArgsConstructor
+public abstract class BaseTrackProcessorWithAbnormalDetection implements ItemProcessor<VesselTrack.VesselKey, AbnormalDetectionResult> {
+    
+    protected final ItemProcessor<VesselTrack.VesselKey, VesselTrack> trackProcessor;
+    protected final AbnormalTrackDetector abnormalTrackDetector;
+    protected final DataSource queryDataSource;
+    
+    private static final DateTimeFormatter TIMESTAMP_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss");
+    
+    @Override
+    public AbnormalDetectionResult process(VesselTrack.VesselKey vesselKey) throws Exception {
+        // 기존 프로세서로 궤적 생성
+        VesselTrack track = trackProcessor.process(vesselKey);
+        
+        if (track == null) {
+            return null;
+        }
+        
+        // 이전 bucket의 마지막 궤적 조회
+        VesselTrack previousTrack = getPreviousBucketLastTrack(vesselKey);
+        
+        // Bucket 간 연결점만 검사 (하위 데이터는 이미 검증됨)
+        AbnormalDetectionResult result = abnormalTrackDetector.detectBucketTransitionOnly(track, previousTrack);
+        
+        if (result.hasAbnormalities()) {
+            log.debug("Abnormal track detected for vessel {}/{} at {}: {}", 
+                track.getSigSrcCd(), track.getTargetId(), track.getTimeBucket(), 
+                result.getAbnormalSegments().size());
+        }
+        
+        return result;
+    }
+    
+    /**
+     * 이전 버킷의 마지막 궤적 조회
+     */
+    protected VesselTrack getPreviousBucketLastTrack(VesselTrack.VesselKey vesselKey) {
+        try {
+            String sql = """
+                SELECT sig_src_cd, target_id, time_bucket,
+                       end_position,
+                       public.ST_AsText(public.ST_LineSubstring(track_geom, 0.9, 1.0)) as last_segment
+                FROM %s
+                WHERE sig_src_cd = ?
+                  AND target_id = ?
+                  AND time_bucket >= ?
+                  AND time_bucket < ?
+                ORDER BY time_bucket DESC
+                LIMIT 1
+            """.formatted(getPreviousTrackTableName());
+            
+            LocalDateTime currentBucket = getNormalizedBucket(vesselKey.getTimeBucket());
+            LocalDateTime previousBucket = getPreviousBucket(currentBucket);
+
+            // Convert to java.sql.Timestamp for proper PostgreSQL type handling
+            Timestamp previousBucketTimestamp = Timestamp.valueOf(previousBucket);
+            Timestamp currentBucketTimestamp = Timestamp.valueOf(currentBucket);
+
+            JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+            return jdbcTemplate.queryForObject(sql,
+                (rs, rowNum) -> {
+                    return VesselTrack.builder()
+                        .sigSrcCd(rs.getString("sig_src_cd"))
+                        .targetId(rs.getString("target_id"))
+                        .timeBucket(rs.getTimestamp("time_bucket").toLocalDateTime())
+                        .trackGeom(rs.getString("last_segment"))
+                        .endPosition(parseEndPosition(rs.getString("end_position")))
+                        .build();
+                },
+                vesselKey.getSigSrcCd(), vesselKey.getTargetId(), previousBucketTimestamp, currentBucketTimestamp
+            );
+        } catch (Exception e) {
+            log.debug("No previous bucket track found for vessel {}", vesselKey);
+            return null;
+        }
+    }
+    
+    /**
+     * JSON 형식의 end_position 파싱
+     */
+    protected VesselTrack.TrackPosition parseEndPosition(String json) {
+        if (json == null) return null;
+        try {
+            String lat = LineStringMUtils.extractJsonValue(json, "lat");
+            String lon = LineStringMUtils.extractJsonValue(json, "lon");
+            String time = LineStringMUtils.extractJsonValue(json, "time");
+            String sog = LineStringMUtils.extractJsonValue(json, "sog");
+            
+            return VesselTrack.TrackPosition.builder()
+                .lat(lat != null ? Double.parseDouble(lat) : null)
+                .lon(lon != null ? Double.parseDouble(lon) : null)
+                .time(time != null ? LocalDateTime.parse(time, TIMESTAMP_FORMATTER) : null)
+                .sog(sog != null ? new BigDecimal(sog) : null)
+                .build();
+        } catch (Exception e) {
+            log.error("Failed to parse end position: {}", json, e);
+            return null;
+        }
+    }
+    
+    /**
+     * 이전 트랙을 조회할 테이블명 반환 (하위 클래스에서 구현)
+     */
+    protected abstract String getPreviousTrackTableName();
+    
+    /**
+     * 정규화된 버킷 시간 반환 (하위 클래스에서 구현)
+     */
+    protected abstract LocalDateTime getNormalizedBucket(LocalDateTime timeBucket);
+    
+    /**
+     * 이전 버킷 시간 계산 (하위 클래스에서 구현)
+     */
+    protected abstract LocalDateTime getPreviousBucket(LocalDateTime currentBucket);
+}

src/main/java/gc/mda/signal_batch/batch/processor/DailyTrackProcessor.java

@@ -0,0 +1,210 @@
+package gc.mda.signal_batch.batch.processor;
+
+import gc.mda.signal_batch.domain.vessel.model.VesselTrack;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.item.ItemProcessor;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.jdbc.core.JdbcTemplate;
+
+import java.math.BigDecimal;
+import java.sql.ResultSet;
+import java.sql.Timestamp;
+import java.time.LocalDateTime;
+import java.time.format.DateTimeFormatter;
+import gc.mda.signal_batch.global.util.LineStringMUtils;
+import gc.mda.signal_batch.global.util.TrackSimplificationUtils;
+
+import javax.sql.DataSource;
+
+
+@Slf4j
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+@RequiredArgsConstructor
+public class DailyTrackProcessor implements ItemProcessor<VesselTrack.VesselKey, VesselTrack> {
+
+    private final DataSource queryDataSource;
+    private final JdbcTemplate jdbcTemplate;
+    private static final DateTimeFormatter TIMESTAMP_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss");
+
+    @Override
+    public VesselTrack process(VesselTrack.VesselKey vesselKey) throws Exception {
+        LocalDateTime dayBucket = vesselKey.getTimeBucket()
+                .withHour(0)
+                .withMinute(0)
+                .withSecond(0)
+                .withNano(0);
+
+        String sql = """
+            WITH ordered_tracks AS (
+                SELECT *
+                FROM signal.t_vessel_tracks_hourly
+                WHERE sig_src_cd = ?
+                    AND target_id = ?
+                    AND time_bucket >= ?
+                    AND time_bucket < ?
+                    AND track_geom IS NOT NULL
+                    AND public.ST_NPoints(track_geom) > 0
+                ORDER BY time_bucket
+            ),
+            merged_coords AS (
+                SELECT
+                    sig_src_cd,
+                    target_id,
+                    string_agg(
+                        substring(public.ST_AsText(track_geom) from 'M \\((.+)\\)'),
+                        ','
+                        ORDER BY time_bucket
+                    ) FILTER (WHERE track_geom IS NOT NULL) as all_coords
+                FROM ordered_tracks
+                GROUP BY sig_src_cd, target_id
+            ),
+            merged_tracks AS (
+                SELECT
+                    mc.sig_src_cd,
+                    mc.target_id,
+                    TO_TIMESTAMP(?, 'YYYY-MM-DD HH24:MI:SS') as time_bucket,
+                    public.ST_GeomFromText('LINESTRING M(' || mc.all_coords || ')') as merged_geom,
+                    (SELECT MAX(max_speed) FROM ordered_tracks WHERE sig_src_cd = mc.sig_src_cd AND target_id = mc.target_id) as max_speed,
+                    (SELECT SUM(point_count) FROM ordered_tracks WHERE sig_src_cd = mc.sig_src_cd AND target_id = mc.target_id) as total_points,
+                    (SELECT MIN(time_bucket) FROM ordered_tracks WHERE sig_src_cd = mc.sig_src_cd AND target_id = mc.target_id) as start_time,
+                    (SELECT MAX(time_bucket) FROM ordered_tracks WHERE sig_src_cd = mc.sig_src_cd AND target_id = mc.target_id) as end_time,
+                    (SELECT start_position FROM ordered_tracks WHERE sig_src_cd = mc.sig_src_cd AND target_id = mc.target_id ORDER BY time_bucket LIMIT 1) as start_pos,
+                    (SELECT end_position FROM ordered_tracks WHERE sig_src_cd = mc.sig_src_cd AND target_id = mc.target_id ORDER BY time_bucket DESC LIMIT 1) as end_pos
+                FROM merged_coords mc
+            ),
+            calculated_tracks AS (
+                SELECT
+                    *,
+                    public.ST_Length(merged_geom::geography) / 1852.0 as total_distance,
+                    CASE
+                        WHEN public.ST_NPoints(merged_geom) > 0 THEN
+                            public.ST_M(public.ST_PointN(merged_geom, public.ST_NPoints(merged_geom))) -
+                            public.ST_M(public.ST_PointN(merged_geom, 1))
+                        ELSE
+                            EXTRACT(EPOCH FROM
+                                TO_TIMESTAMP(end_pos->>'time', 'YYYY-MM-DD HH24:MI:SS') - TO_TIMESTAMP(start_pos->>'time', 'YYYY-MM-DD HH24:MI:SS')
+                            )
+                    END as time_diff_seconds
+                FROM merged_tracks
+            )
+            SELECT
+                sig_src_cd,
+                target_id,
+                time_bucket,
+                merged_geom,
+                total_distance,
+                CASE
+                    WHEN time_diff_seconds > 0 THEN
+                        CAST(LEAST((total_distance / (time_diff_seconds / 3600.0)), 9999.99) AS numeric(6,2))
+                    ELSE 0
+                END as avg_speed,
+                max_speed,
+                total_points,
+                start_time,
+                end_time,
+                start_pos,
+                end_pos,
+                public.ST_AsText(merged_geom) as geom_text
+            FROM calculated_tracks
+        """;
+
+        LocalDateTime startTime = dayBucket;
+        LocalDateTime endTime = dayBucket.plusDays(1);
+
+        // Convert to java.sql.Timestamp for proper PostgreSQL type handling
+        Timestamp startTimestamp = Timestamp.valueOf(startTime);
+        Timestamp endTimestamp = Timestamp.valueOf(endTime);
+        Timestamp dayBucketTimestamp = Timestamp.valueOf(dayBucket);
+
+        log.debug("DailyTrackProcessor params - sig_src_cd: {}, target_id: {}, startTime: {}, endTime: {}, dayBucket: {}",
+            vesselKey.getSigSrcCd(), vesselKey.getTargetId(), startTimestamp, endTimestamp, dayBucketTimestamp);
+
+        try {
+            return jdbcTemplate.queryForObject(sql,
+                    (rs, rowNum) -> {
+                        try {
+                            return buildDailyTrack(rs, dayBucket);
+                        } catch (Exception e) {
+                            throw new RuntimeException("Failed to build daily track", e);
+                        }
+                    },
+                    vesselKey.getSigSrcCd(), vesselKey.getTargetId(),
+                    startTimestamp, endTimestamp, dayBucketTimestamp
+            );
+        } catch (org.springframework.dao.EmptyResultDataAccessException e) {
+            log.warn("No hourly data found for vessel {} in time range {}-{}, skipping daily aggregation",
+                    vesselKey.getSigSrcCd() + "_" + vesselKey.getTargetId(), startTimestamp, endTimestamp);
+            return null;
+        } catch (Exception e) {
+            log.error("Failed to process daily track for vessel {}: {}",
+                    vesselKey.getSigSrcCd() + "_" + vesselKey.getTargetId(), e.getMessage(), e);
+            return null;
+        }
+    }
+
+    private VesselTrack buildDailyTrack(ResultSet rs, LocalDateTime dayBucket) throws Exception {
+        // Start/End position 추출
+        VesselTrack.TrackPosition startPos = null;
+        VesselTrack.TrackPosition endPos = null;
+
+        String startPosJson = rs.getString("start_pos");
+        String endPosJson = rs.getString("end_pos");
+
+        if (startPosJson != null) {
+            startPos = parseTrackPosition(startPosJson);
+        }
+
+        if (endPosJson != null) {
+            endPos = parseTrackPosition(endPosJson);
+        }
+
+        // M값은 이미 SQL에서 재계산됨
+        String dailyLineStringM = rs.getString("geom_text");
+
+        // 일별 궤적 간소화 (20m 이내 생략, 최대 30분 간격)
+        String simplifiedLineStringM = TrackSimplificationUtils.simplifyDailyTrack(dailyLineStringM);
+
+        // 간소화 통계 로깅
+        if (!dailyLineStringM.equals(simplifiedLineStringM)) {
+            TrackSimplificationUtils.SimplificationStats stats =
+                    TrackSimplificationUtils.getSimplificationStats(dailyLineStringM, simplifiedLineStringM);
+            log.debug("일별 궤적 간소화 - vessel: {}/{}, 원본: {}포인트, 간소화: {}포인트 ({}% 감소)",
+                    rs.getString("sig_src_cd"), rs.getString("target_id"),
+                    stats.originalPoints, stats.simplifiedPoints, (int)stats.reductionRate);
+        }
+
+        // track_geom만 사용
+        return VesselTrack.builder()
+                .sigSrcCd(rs.getString("sig_src_cd"))
+                .targetId(rs.getString("target_id"))
+                .timeBucket(dayBucket)
+                .trackGeom(simplifiedLineStringM)
+                .distanceNm(rs.getBigDecimal("total_distance"))
+                .avgSpeed(rs.getBigDecimal("avg_speed"))
+                .maxSpeed(rs.getBigDecimal("max_speed"))
+                .pointCount(rs.getInt("total_points"))
+                .startPosition(startPos)
+                .endPosition(endPos)
+                .build();
+    }
+
+    private VesselTrack.TrackPosition parseTrackPosition(String json) {
+        try {
+            String latStr = LineStringMUtils.extractJsonValue(json, "lat");
+            String lonStr = LineStringMUtils.extractJsonValue(json, "lon");
+            String timeStr = LineStringMUtils.extractJsonValue(json, "time");
+            String sogStr = LineStringMUtils.extractJsonValue(json, "sog");
+
+            return VesselTrack.TrackPosition.builder()
+                    .lat(latStr != null ? Double.parseDouble(latStr) : null)
+                    .lon(lonStr != null ? Double.parseDouble(lonStr) : null)
+                    .time(timeStr != null ? LocalDateTime.parse(timeStr, TIMESTAMP_FORMATTER) : null)
+                    .sog(sogStr != null ? new BigDecimal(sogStr) : null)
+                    .build();
+        } catch (Exception e) {
+            log.error("Failed to parse track position: {}", json, e);
+            return null;
+        }
+    }
+}

src/main/java/gc/mda/signal_batch/batch/processor/DailyTrackProcessorWithAbnormalDetection.java

@@ -0,0 +1,38 @@
+package gc.mda.signal_batch.batch.processor;
+
+import gc.mda.signal_batch.domain.vessel.model.VesselTrack;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.item.ItemProcessor;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import javax.sql.DataSource;
+import java.time.LocalDateTime;
+
+/**
+ * 일별 궤적 프로세서 - 비정상 궤적 검출 기능 포함
+ */
+@Slf4j
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class DailyTrackProcessorWithAbnormalDetection extends BaseTrackProcessorWithAbnormalDetection {
+    
+    public DailyTrackProcessorWithAbnormalDetection(
+            ItemProcessor<VesselTrack.VesselKey, VesselTrack> dailyTrackProcessor,
+            AbnormalTrackDetector abnormalTrackDetector,
+            DataSource queryDataSource) {
+        super(dailyTrackProcessor, abnormalTrackDetector, queryDataSource);
+    }
+    
+    @Override
+    protected String getPreviousTrackTableName() {
+        return "signal.t_vessel_tracks_hourly";
+    }
+    
+    @Override
+    protected LocalDateTime getNormalizedBucket(LocalDateTime timeBucket) {
+        return timeBucket.withHour(0).withMinute(0).withSecond(0).withNano(0);
+    }
+    
+    @Override
+    protected LocalDateTime getPreviousBucket(LocalDateTime currentBucket) {
+        return currentBucket.minusDays(1);
+    }
+}

src/main/java/gc/mda/signal_batch/batch/processor/HourlyTrackProcessor.java

@@ -0,0 +1,207 @@
+package gc.mda.signal_batch.batch.processor;
+
+import gc.mda.signal_batch.domain.vessel.model.VesselTrack;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.item.ItemProcessor;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.jdbc.core.JdbcTemplate;
+
+import java.math.BigDecimal;
+import java.sql.ResultSet;
+import java.sql.Timestamp;
+import java.time.LocalDateTime;
+import java.time.format.DateTimeFormatter;
+import gc.mda.signal_batch.global.util.LineStringMUtils;
+import gc.mda.signal_batch.global.util.TrackSimplificationUtils;
+import javax.sql.DataSource;
+
+@Slf4j
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+@RequiredArgsConstructor
+public class HourlyTrackProcessor implements ItemProcessor<VesselTrack.VesselKey, VesselTrack> {
+    
+    private final DataSource queryDataSource;
+    private final JdbcTemplate jdbcTemplate;
+    private static final DateTimeFormatter TIMESTAMP_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss");
+    
+    @Override
+    public VesselTrack process(VesselTrack.VesselKey vesselKey) throws Exception {
+        LocalDateTime hourBucket = vesselKey.getTimeBucket()
+                .withMinute(0)
+                .withSecond(0)
+                .withNano(0);
+        
+        String sql = """
+            WITH ordered_tracks AS (
+                SELECT *
+                FROM signal.t_vessel_tracks_5min
+                WHERE sig_src_cd = ?
+                    AND target_id = ?
+                    AND time_bucket >= ?
+                    AND time_bucket < ?
+                    AND track_geom IS NOT NULL
+                    AND public.ST_NPoints(track_geom) > 0
+                ORDER BY time_bucket
+            ),
+            merged_coords AS (
+                SELECT
+                    sig_src_cd,
+                    target_id,
+                    string_agg(
+                        substring(public.ST_AsText(track_geom) from 'M \\((.+)\\)'),
+                        ','
+                        ORDER BY time_bucket
+                    ) FILTER (WHERE track_geom IS NOT NULL) as all_coords
+                FROM ordered_tracks
+                GROUP BY sig_src_cd, target_id
+            ),
+            merged_tracks AS (
+                SELECT
+                    mc.sig_src_cd,
+                    mc.target_id,
+                    TO_TIMESTAMP(?, 'YYYY-MM-DD HH24:MI:SS') as time_bucket,
+                    public.ST_GeomFromText('LINESTRING M(' || mc.all_coords || ')') as merged_geom,
+                    (SELECT MAX(max_speed) FROM ordered_tracks WHERE sig_src_cd = mc.sig_src_cd AND target_id = mc.target_id) as max_speed,
+                    (SELECT SUM(point_count) FROM ordered_tracks WHERE sig_src_cd = mc.sig_src_cd AND target_id = mc.target_id) as total_points,
+                    (SELECT MIN(time_bucket) FROM ordered_tracks WHERE sig_src_cd = mc.sig_src_cd AND target_id = mc.target_id) as start_time,
+                    (SELECT MAX(time_bucket) FROM ordered_tracks WHERE sig_src_cd = mc.sig_src_cd AND target_id = mc.target_id) as end_time,
+                    (SELECT start_position FROM ordered_tracks WHERE sig_src_cd = mc.sig_src_cd AND target_id = mc.target_id ORDER BY time_bucket LIMIT 1) as start_pos,
+                    (SELECT end_position FROM ordered_tracks WHERE sig_src_cd = mc.sig_src_cd AND target_id = mc.target_id ORDER BY time_bucket DESC LIMIT 1) as end_pos
+                FROM merged_coords mc
+            ),
+            calculated_tracks AS (
+                SELECT
+                    *,
+                    public.ST_Length(merged_geom::geography) / 1852.0 as total_distance,
+                    CASE
+                        WHEN public.ST_NPoints(merged_geom) > 0 THEN
+                            public.ST_M(public.ST_PointN(merged_geom, public.ST_NPoints(merged_geom))) -
+                            public.ST_M(public.ST_PointN(merged_geom, 1))
+                        ELSE
+                            EXTRACT(EPOCH FROM
+                                TO_TIMESTAMP(end_pos->>'time', 'YYYY-MM-DD HH24:MI:SS') - TO_TIMESTAMP(start_pos->>'time', 'YYYY-MM-DD HH24:MI:SS')
+                            )
+                    END as time_diff_seconds
+                FROM merged_tracks
+            )
+            SELECT
+                sig_src_cd,
+                target_id,
+                time_bucket,
+                merged_geom,
+                total_distance,
+                CASE
+                    WHEN time_diff_seconds > 0 THEN
+                        CAST(LEAST((total_distance / (time_diff_seconds / 3600.0)), 9999.99) AS numeric(6,2))
+                    ELSE 0
+                END as avg_speed,
+                max_speed,
+                total_points,
+                start_time,
+                end_time,
+                start_pos,
+                end_pos,
+                public.ST_AsText(merged_geom) as geom_text
+            FROM calculated_tracks
+        """;
+        
+        LocalDateTime startTime = hourBucket;
+        LocalDateTime endTime = hourBucket.plusHours(1);
+
+        // Convert to java.sql.Timestamp for proper PostgreSQL type handling
+        Timestamp startTimestamp = Timestamp.valueOf(startTime);
+        Timestamp endTimestamp = Timestamp.valueOf(endTime);
+        Timestamp hourBucketTimestamp = Timestamp.valueOf(hourBucket);
+
+        log.debug("HourlyTrackProcessor params - sig_src_cd: {}, target_id: {}, startTime: {}, endTime: {}, hourBucket: {}",
+            vesselKey.getSigSrcCd(), vesselKey.getTargetId(), startTimestamp, endTimestamp, hourBucketTimestamp);
+
+        try {
+            return jdbcTemplate.queryForObject(sql,
+                (rs, rowNum) -> {
+                    try {
+                        return buildHourlyTrack(rs, hourBucket);
+                    } catch (Exception e) {
+                        throw new RuntimeException("Failed to build hourly track", e);
+                    }
+                },
+                vesselKey.getSigSrcCd(), vesselKey.getTargetId(),
+                startTimestamp, endTimestamp, hourBucketTimestamp
+            );
+        } catch (org.springframework.dao.EmptyResultDataAccessException e) {
+            log.warn("No 5min data found for vessel {} in time range {}-{}, skipping hourly aggregation",
+                vesselKey.getSigSrcCd() + "_" + vesselKey.getTargetId(), startTimestamp, endTimestamp);
+            return null;
+        } catch (Exception e) {
+            log.error("Failed to process hourly track for vessel {}: {}",
+                vesselKey.getSigSrcCd() + "_" + vesselKey.getTargetId(), e.getMessage(), e);
+            return null;
+        }
+    }
+    
+    private VesselTrack buildHourlyTrack(ResultSet rs, LocalDateTime hourBucket) throws Exception {
+        // Start/End position 추출
+        VesselTrack.TrackPosition startPos = null;
+        VesselTrack.TrackPosition endPos = null;
+        
+        String startPosJson = rs.getString("start_pos");
+        String endPosJson = rs.getString("end_pos");
+        
+        if (startPosJson != null) {
+            startPos = parseTrackPosition(startPosJson);
+        }
+        
+        if (endPosJson != null) {
+            endPos = parseTrackPosition(endPosJson);
+        }
+        
+        // M값은 이미 SQL에서 재계산됨
+        String hourlyLineStringM = rs.getString("geom_text");
+        
+        // 이동이 거의 없는 포인트 간소화 (10m 이내 생략, 최대 10분 간격)
+        String simplifiedLineStringM = TrackSimplificationUtils.simplifyHourlyTrack(hourlyLineStringM);
+        
+        // 간소화 통계 로깅
+        if (!hourlyLineStringM.equals(simplifiedLineStringM)) {
+            TrackSimplificationUtils.SimplificationStats stats = 
+                TrackSimplificationUtils.getSimplificationStats(hourlyLineStringM, simplifiedLineStringM);
+            log.debug("시간별 궤적 간소화 - vessel: {}/{}, 원본: {}포인트, 간소화: {}포인트 ({}% 감소)",
+                rs.getString("sig_src_cd"), rs.getString("target_id"),
+                stats.originalPoints, stats.simplifiedPoints, (int)stats.reductionRate);
+        }
+        
+        // track_geom만 사용
+        return VesselTrack.builder()
+                .sigSrcCd(rs.getString("sig_src_cd"))
+                .targetId(rs.getString("target_id"))
+                .timeBucket(hourBucket)
+                .trackGeom(simplifiedLineStringM)
+                .distanceNm(rs.getBigDecimal("total_distance"))
+                .avgSpeed(rs.getBigDecimal("avg_speed"))
+                .maxSpeed(rs.getBigDecimal("max_speed"))
+                .pointCount(rs.getInt("total_points"))
+                .startPosition(startPos)
+                .endPosition(endPos)
+                .build();
+    }
+    
+    private VesselTrack.TrackPosition parseTrackPosition(String json) {
+        try {
+            String latStr = LineStringMUtils.extractJsonValue(json, "lat");
+            String lonStr = LineStringMUtils.extractJsonValue(json, "lon");
+            String timeStr = LineStringMUtils.extractJsonValue(json, "time");
+            String sogStr = LineStringMUtils.extractJsonValue(json, "sog");
+            
+            return VesselTrack.TrackPosition.builder()
+                    .lat(latStr != null ? Double.parseDouble(latStr) : null)
+                    .lon(lonStr != null ? Double.parseDouble(lonStr) : null)
+                    .time(timeStr != null ? LocalDateTime.parse(timeStr, TIMESTAMP_FORMATTER) : null)
+                    .sog(sogStr != null ? new BigDecimal(sogStr) : null)
+                    .build();
+        } catch (Exception e) {
+            log.error("Failed to parse track position: {}", json, e);
+            return null;
+        }
+    }
+}

src/main/java/gc/mda/signal_batch/batch/processor/HourlyTrackProcessorWithAbnormalDetection.java

@@ -0,0 +1,38 @@
+package gc.mda.signal_batch.batch.processor;
+
+import gc.mda.signal_batch.domain.vessel.model.VesselTrack;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.item.ItemProcessor;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import javax.sql.DataSource;
+import java.time.LocalDateTime;
+
+/**
+ * 시간별 궤적 프로세서 - 비정상 궤적 검출 기능 포함
+ */
+@Slf4j
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class HourlyTrackProcessorWithAbnormalDetection extends BaseTrackProcessorWithAbnormalDetection {
+    
+    public HourlyTrackProcessorWithAbnormalDetection(
+            ItemProcessor<VesselTrack.VesselKey, VesselTrack> hourlyTrackProcessor,
+            AbnormalTrackDetector abnormalTrackDetector,
+            DataSource queryDataSource) {
+        super(hourlyTrackProcessor, abnormalTrackDetector, queryDataSource);
+    }
+    
+    @Override
+    protected String getPreviousTrackTableName() {
+        return "signal.t_vessel_tracks_5min";
+    }
+    
+    @Override
+    protected LocalDateTime getNormalizedBucket(LocalDateTime timeBucket) {
+        return timeBucket.withMinute(0).withSecond(0).withNano(0);
+    }
+    
+    @Override
+    protected LocalDateTime getPreviousBucket(LocalDateTime currentBucket) {
+        return currentBucket.minusHours(1);
+    }
+}

src/main/java/gc/mda/signal_batch/batch/processor/LatestPositionProcessor.java

@@ -0,0 +1,60 @@
+package gc.mda.signal_batch.batch.processor;
+
+import gc.mda.signal_batch.domain.vessel.model.VesselData;
+import gc.mda.signal_batch.domain.vessel.model.VesselLatestPosition;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.core.configuration.annotation.StepScope;
+import org.springframework.batch.item.ItemProcessor;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.stereotype.Component;
+
+import java.time.LocalDateTime;
+import java.util.concurrent.ConcurrentHashMap;
+
+@Slf4j
+@Component
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class LatestPositionProcessor {
+
+    @StepScope
+    public ItemProcessor<VesselData, VesselLatestPosition> processor() {
+        // 청크 내에서 최신 데이터만 유지
+        ConcurrentHashMap<String, VesselLatestPosition> latestMap = new ConcurrentHashMap<>();
+
+        return item -> {
+            if (!item.isValidPosition()) {
+                log.debug("Invalid position for vessel: {}", item.getVesselKey());
+                return null;
+            }
+
+            String key = item.getVesselKey();
+            VesselLatestPosition current = VesselLatestPosition.fromVesselData(item);
+
+            VesselLatestPosition existing = latestMap.get(key);
+            if (existing == null || current.getLastUpdate().isAfter(existing.getLastUpdate())) {
+                latestMap.put(key, current);
+                return current;
+            }
+
+            return null;
+        };
+    }
+
+    @StepScope
+    public ItemProcessor<VesselData, VesselLatestPosition> filteringProcessor(
+            LocalDateTime cutoffTime) {
+
+        return item -> {
+            // 특정 시간 이후 데이터만 처리
+            if (item.getMessageTime().isBefore(cutoffTime)) {
+                return null;
+            }
+
+            if (!item.isValidPosition()) {
+                return null;
+            }
+
+            return VesselLatestPosition.fromVesselData(item);
+        };
+    }
+}

src/main/java/gc/mda/signal_batch/batch/processor/TileAggregationProcessor.java

@@ -0,0 +1,291 @@
+package gc.mda.signal_batch.batch.processor;
+
+import gc.mda.signal_batch.domain.gis.model.TileStatistics;
+import gc.mda.signal_batch.domain.vessel.model.VesselData;
+import gc.mda.signal_batch.global.util.HaeguGeoUtils;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.core.configuration.annotation.StepScope;
+import org.springframework.batch.item.ItemProcessor;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+
+import java.math.BigDecimal;
+import java.math.RoundingMode;
+import java.time.LocalDateTime;
+import java.time.temporal.ChronoUnit;
+import java.util.*;
+
+
+@Slf4j
+@Configuration
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+@RequiredArgsConstructor
+public class TileAggregationProcessor {
+
+    private final HaeguGeoUtils geoUtils;
+
+    /**
+     * 타일 레벨과 시간 버킷에 따른 배치 프로세서 생성
+     */
+    public ItemProcessor<List<VesselData>, List<TileStatistics>> batchProcessor(
+            int tileLevel, int timeBucketMinutes) {
+        
+        return items -> {
+            if (items == null || items.isEmpty()) {
+                return null;
+            }
+
+            Map<String, TileStatistics> tileMap = new HashMap<>();
+
+            for (VesselData item : items) {
+                if (!item.isValidPosition()) {
+                    continue;
+                }
+
+                LocalDateTime bucket = item.getMessageTime()
+                        .truncatedTo(ChronoUnit.MINUTES)
+                        .withMinute((item.getMessageTime().getMinute() / timeBucketMinutes) * timeBucketMinutes);
+
+                // 요청된 레벨에 따라 처리
+                if (tileLevel >= 0) {
+                    // Level 0 (대해구) 처리
+                    HaeguGeoUtils.HaeguTileInfo level0Info = geoUtils.getHaeguTileInfo(
+                        item.getLat(), item.getLon(), 0
+                    );
+                    
+                    if (level0Info != null) {
+                        String haeguKey = level0Info.tileId + "_" + bucket.toString();
+                        
+                        TileStatistics haeguStats = tileMap.computeIfAbsent(haeguKey,
+                                k -> TileStatistics.builder()
+                                        .tileId(level0Info.tileId)
+                                        .tileLevel(0)
+                                        .timeBucket(bucket)
+                                        .uniqueVessels(new HashMap<>())
+                                        .totalPoints(0L)
+                                        .avgSog(BigDecimal.ZERO)
+                                        .maxSog(BigDecimal.ZERO)
+                                        .build()
+                        );
+                        haeguStats.addVesselData(item);
+                    }
+                }
+
+                if (tileLevel >= 1) {
+                    // Level 1 (소해구) 처리
+                    HaeguGeoUtils.HaeguTileInfo level1Info = geoUtils.getHaeguTileInfo(
+                        item.getLat(), item.getLon(), 1
+                    );
+                    
+                    if (level1Info != null && level1Info.sohaeguNo != null) {
+                        String subKey = level1Info.tileId + "_" + bucket.toString();
+                        
+                        TileStatistics subStats = tileMap.computeIfAbsent(subKey,
+                                k -> TileStatistics.builder()
+                                        .tileId(level1Info.tileId)
+                                        .tileLevel(1)
+                                        .timeBucket(bucket)
+                                        .uniqueVessels(new HashMap<>())
+                                        .totalPoints(0L)
+                                        .avgSog(BigDecimal.ZERO)
+                                        .maxSog(BigDecimal.ZERO)
+                                        .build()
+                        );
+                        subStats.addVesselData(item);
+                    }
+                }
+            }
+
+            // 각 타일별로 밀도 계산
+            tileMap.values().forEach(this::calculateDensity);
+
+            return new ArrayList<>(tileMap.values());
+        };
+    }
+
+    @Bean
+    @StepScope
+    public ItemProcessor<List<VesselData>, List<TileStatistics>> tileAggregationBatchProcessor(
+            @Value("#{jobParameters['timeBucketMinutes']}") Integer timeBucketMinutes) {
+
+        final int bucketMinutes = (timeBucketMinutes != null) ? timeBucketMinutes : 5;
+
+        return items -> {
+            if (items == null || items.isEmpty()) {
+                return null;
+            }
+
+            Map<String, TileStatistics> tileMap = new HashMap<>();
+
+            for (VesselData item : items) {
+                if (!item.isValidPosition()) {
+                    continue;
+                }
+
+                LocalDateTime bucket = item.getMessageTime()
+                        .truncatedTo(ChronoUnit.MINUTES)
+                        .withMinute((item.getMessageTime().getMinute() / bucketMinutes) * bucketMinutes);
+
+                // 1. 대해구 레벨(Level 0) 처리
+                HaeguGeoUtils.HaeguTileInfo level0Info = geoUtils.getHaeguTileInfo(
+                    item.getLat(), item.getLon(), 0
+                );
+                
+                if (level0Info != null) {
+                    String haeguKey = level0Info.tileId + "_" + bucket.toString();
+                    
+                    TileStatistics haeguStats = tileMap.computeIfAbsent(haeguKey,
+                            k -> TileStatistics.builder()
+                                    .tileId(level0Info.tileId)
+                                    .tileLevel(0)  // 대해구는 레벨 0
+                                    .timeBucket(bucket)
+                                    .uniqueVessels(new HashMap<>())
+                                    .totalPoints(0L)
+                                    .avgSog(BigDecimal.ZERO)
+                                    .maxSog(BigDecimal.ZERO)
+                                    .build()
+                    );
+                    haeguStats.addVesselData(item);
+                }
+
+                // 2. 소해구 레벨(Level 1) 처리
+                HaeguGeoUtils.HaeguTileInfo level1Info = geoUtils.getHaeguTileInfo(
+                    item.getLat(), item.getLon(), 1
+                );
+                
+                if (level1Info != null && level1Info.sohaeguNo != null) {
+                    String subKey = level1Info.tileId + "_" + bucket.toString();
+                    
+                    TileStatistics subStats = tileMap.computeIfAbsent(subKey,
+                            k -> TileStatistics.builder()
+                                    .tileId(level1Info.tileId)
+                                    .tileLevel(1)  // 소해구는 레벨 1
+                                    .timeBucket(bucket)
+                                    .uniqueVessels(new HashMap<>())
+                                    .totalPoints(0L)
+                                    .avgSog(BigDecimal.ZERO)
+                                    .maxSog(BigDecimal.ZERO)
+                                    .build()
+                    );
+                    subStats.addVesselData(item);
+                }
+            }
+
+            // 각 타일별로 밀도 계산
+            tileMap.values().forEach(stats -> {
+                calculateDensity(stats);
+            });
+
+            return new ArrayList<>(tileMap.values());
+        };
+    }
+
+    @Bean
+    @StepScope
+    public ItemProcessor<VesselData, List<TileStatistics>> singleItemProcessor(
+            @Value("#{jobParameters['tileLevel']}") Integer tileLevel,
+            @Value("#{jobParameters['timeBucketMinutes']}") Integer timeBucketMinutes) {
+
+        final int bucketMinutes = (timeBucketMinutes != null) ? timeBucketMinutes : 5;
+        final int maxLevel = (tileLevel != null) ? tileLevel : 1;
+
+        Map<String, TileStatistics> accumulator = new HashMap<>();
+
+        return item -> {
+            if (!item.isValidPosition()) {
+                return null;
+            }
+
+            LocalDateTime bucket = item.getMessageTime()
+                    .truncatedTo(ChronoUnit.MINUTES)
+                    .withMinute((item.getMessageTime().getMinute() / bucketMinutes) * bucketMinutes);
+
+            List<TileStatistics> result = new ArrayList<>();
+
+            // Level 0 (대해구)
+            if (maxLevel >= 0) {
+                HaeguGeoUtils.HaeguTileInfo level0Info = geoUtils.getHaeguTileInfo(
+                    item.getLat(), item.getLon(), 0
+                );
+                
+                if (level0Info != null) {
+                    String key = level0Info.tileId + "_" + bucket.toString();
+                    TileStatistics stats = accumulator.computeIfAbsent(key,
+                            k -> TileStatistics.builder()
+                                    .tileId(level0Info.tileId)
+                                    .tileLevel(0)
+                                    .timeBucket(bucket)
+                                    .uniqueVessels(new HashMap<>())
+                                    .totalPoints(0L)
+                                    .avgSog(BigDecimal.ZERO)
+                                    .maxSog(BigDecimal.ZERO)
+                                    .build()
+                    );
+                    stats.addVesselData(item);
+
+                    // 일정 개수가 쌓이면 출력
+                    if (stats.getTotalPoints() % 1000 == 0) {
+                        calculateDensity(stats);
+                        result.add(stats);
+                    }
+                }
+            }
+
+            // Level 1 (소해구)
+            if (maxLevel >= 1) {
+                HaeguGeoUtils.HaeguTileInfo level1Info = geoUtils.getHaeguTileInfo(
+                    item.getLat(), item.getLon(), 1
+                );
+                
+                if (level1Info != null && level1Info.sohaeguNo != null) {
+                    String key = level1Info.tileId + "_" + bucket.toString();
+                    TileStatistics stats = accumulator.computeIfAbsent(key,
+                            k -> TileStatistics.builder()
+                                    .tileId(level1Info.tileId)
+                                    .tileLevel(1)
+                                    .timeBucket(bucket)
+                                    .uniqueVessels(new HashMap<>())
+                                    .totalPoints(0L)
+                                    .avgSog(BigDecimal.ZERO)
+                                    .maxSog(BigDecimal.ZERO)
+                                    .build()
+                    );
+                    stats.addVesselData(item);
+
+                    // 일정 개수가 쌓이면 출력
+                    if (stats.getTotalPoints() % 1000 == 0) {
+                        calculateDensity(stats);
+                        result.add(stats);
+                    }
+                }
+            }
+
+            return result.isEmpty() ? null : result;
+        };
+    }
+
+    /**
+     * 타일의 선박 밀도 계산
+     */
+    private void calculateDensity(TileStatistics stats) {
+        if (stats.getVesselCount() == null || stats.getVesselCount() == 0) {
+            stats.setVesselDensity(BigDecimal.ZERO);
+            return;
+        }
+
+        // 타일 면적 가져오기 (km²)
+        double tileArea = geoUtils.getTileArea(stats.getTileId());
+        
+        if (tileArea > 0) {
+            // 밀도 = 선박 수 / 면적
+            BigDecimal density = BigDecimal.valueOf(stats.getVesselCount())
+                    .divide(BigDecimal.valueOf(tileArea), 6, RoundingMode.HALF_UP);
+            stats.setVesselDensity(density);
+        } else {
+            stats.setVesselDensity(BigDecimal.ZERO);
+        }
+    }
+}

src/main/java/gc/mda/signal_batch/batch/processor/VesselTrackProcessor.java

@@ -0,0 +1,222 @@
+package gc.mda.signal_batch.batch.processor;
+
+import gc.mda.signal_batch.domain.gis.cache.AreaBoundaryCache;
+import gc.mda.signal_batch.domain.vessel.model.VesselData;
+import gc.mda.signal_batch.domain.vessel.model.VesselTrack;
+import gc.mda.signal_batch.global.util.HaeguGeoUtils;
+import gc.mda.signal_batch.migration.unix_timestamp.strategy.UnixTimestampStrategy;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.item.ItemProcessor;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.stereotype.Component;
+import org.springframework.beans.factory.annotation.Autowired;
+
+import java.math.BigDecimal;
+import java.time.LocalDateTime;
+import java.util.*;
+import java.util.stream.Collectors;
+
+@Slf4j
+@Component
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+@RequiredArgsConstructor
+public class VesselTrackProcessor implements ItemProcessor<List<VesselData>, List<VesselTrack>> {
+
+    private final HaeguGeoUtils haeguGeoUtils;
+    private final AreaBoundaryCache areaBoundaryCache; // 캐시 활용
+    
+    @Autowired
+    private UnixTimestampStrategy unixStrategy;
+
+    @Override
+    public List<VesselTrack> process(List<VesselData> items) throws Exception {
+        if (items == null || items.isEmpty()) {
+            return null;
+        }
+
+        // 이미 vessel key로 그룹화된 데이터이므로 직접 처리
+        VesselTrack track = buildTrack(items);
+        if (track != null && track.hasValidTrack()) {
+            // VesselTrackStepConfig에서 비정상 궤적 필터링 및 저장 처리
+            return List.of(track);
+        }
+
+        // 필터링 원인 로깅
+        if (track == null) {
+            log.debug("Track is null for vessel: {}", items.get(0).getVesselKey());
+        } else if (!track.hasValidTrack()) {
+            log.debug("Invalid track for vessel: {}, points: {}",
+                    track.getVesselKey(), track.getTrackPoints() != null ? track.getTrackPoints().size() : 0);
+        }
+
+        return null;
+    }
+
+    private VesselTrack buildTrack(List<VesselData> vesselDataList) {
+        VesselData first = vesselDataList.get(0);
+        VesselData last = vesselDataList.get(vesselDataList.size() - 1);
+
+        // 5분 버킷 계산
+        LocalDateTime timeBucket = first.getMessageTime()
+                .withSecond(0)
+                .withNano(0)
+                .minusMinutes(first.getMessageTime().getMinute() % 5);
+
+        // 트랙 포인트 생성
+        List<VesselTrack.TrackPoint> trackPoints = vesselDataList.stream()
+                .map(data -> VesselTrack.TrackPoint.builder()
+                        .time(data.getMessageTime())
+                        .lat(data.getLat())
+                        .lon(data.getLon())
+                        .sog(data.getSog())
+                        .cog(data.getCog())
+                        .heading(data.getHeading())
+                        .build())
+                .collect(Collectors.toList());
+
+        VesselTrack track = VesselTrack.builder()
+                .sigSrcCd(first.getSigSrcCd())
+                .targetId(first.getTargetId())
+                .timeBucket(timeBucket)
+                .trackPoints(trackPoints)
+                .pointCount(trackPoints.size())
+                .startPosition(VesselTrack.TrackPosition.builder()
+                        .lat(first.getLat())
+                        .lon(first.getLon())
+                        .time(first.getMessageTime())
+                        .sog(first.getSog())
+                        .build())
+                .endPosition(VesselTrack.TrackPosition.builder()
+                        .lat(last.getLat())
+                        .lon(last.getLon())
+                        .time(last.getMessageTime())
+                        .sog(last.getSog())
+                        .build())
+                .build();
+
+        // 거리 계산
+        track.setDistanceNm(track.calculateDistance());
+
+        // 속도 통계
+        calculateSpeedStatistics(track, vesselDataList);
+
+        // PostGIS LineStringM 생성 (Unix timestamp만 사용)
+        track.setTrackGeom(unixStrategy.buildLineStringM(trackPoints));
+
+        // 해구 정보 추가
+        addHaeguInfo(track, first);
+
+        // Area 정보 추가 (개선된 메서드)
+        addAreaInfo(track);
+
+        return track;
+    }
+
+    private void calculateSpeedStatistics(VesselTrack track, List<VesselData> vesselDataList) {
+        BigDecimal MAX_SPEED_LIMIT = new BigDecimal("9999.99"); // NUMERIC(6,2) 제한
+
+        // 1. 최대 속도는 SOG 값들 중 최대값 사용
+        BigDecimal maxSpeed = vesselDataList.stream()
+                .map(VesselData::getSog)
+                .filter(Objects::nonNull)
+                .filter(speed -> speed.compareTo(BigDecimal.ZERO) >= 0)
+                .filter(speed -> speed.compareTo(MAX_SPEED_LIMIT) <= 0)
+                .max(BigDecimal::compareTo)
+                .orElse(BigDecimal.ZERO);
+        track.setMaxSpeed(maxSpeed);
+
+        // 2. 평균 속도는 실제 이동거리와 M값 기반 시간으로 계산
+        if (track.getDistanceNm() != null && track.getDistanceNm().compareTo(new BigDecimal("0.1")) > 0) {
+            // 거리가 0.1nm 이상일 때만 속도 계산
+            // M값 기반 정확한 시간 계산
+            long totalSeconds = calculateDurationFromMValues(track);
+
+            if (totalSeconds > 0) {
+                // 거리(해리) / 시간(시간) = 속도(노트)
+                BigDecimal hours = BigDecimal.valueOf(totalSeconds).divide(BigDecimal.valueOf(3600), 4, BigDecimal.ROUND_HALF_UP);
+                BigDecimal avgSpeed = track.getDistanceNm().divide(hours, 2, BigDecimal.ROUND_HALF_UP);
+                // NUMERIC(6,2) 제한만 적용 (실제 데이터 특성상 극단값도 유효)
+                track.setAvgSpeed(avgSpeed.min(MAX_SPEED_LIMIT));
+            } else {
+                // 시간차가 없고 거리가 있는 경우는 이상 데이터
+                track.setAvgSpeed(BigDecimal.ZERO);
+            }
+        } else {
+            // 거리가 0.1nm 미만이면 정박 중으로 간주
+            track.setAvgSpeed(BigDecimal.ZERO);
+        }
+    }
+    
+    /**
+     * LineStringM의 M값으로부터 실제 경과 시간 계산 (Unix timestamp 전용)
+     */
+    private long calculateDurationFromMValues(VesselTrack track) {
+        String wkt = track.getTrackGeom();
+        if (wkt == null || !wkt.contains("LINESTRING M")) {
+            return java.time.Duration.between(
+                    track.getStartPosition().getTime(),
+                    track.getEndPosition().getTime()
+            ).getSeconds();
+        }
+        
+        try {
+            String coords = wkt.substring(wkt.indexOf('(') + 1, wkt.lastIndexOf(')'));
+            String[] points = coords.split(",");
+            
+            if (points.length == 0) return 0;
+            
+            String[] firstPoint = points[0].trim().split(" ");
+            String[] lastPoint = points[points.length - 1].trim().split(" ");
+            
+            if (firstPoint.length < 3 || lastPoint.length < 3) return 0;
+            
+            double firstM = Double.parseDouble(firstPoint[2]);
+            double lastM = Double.parseDouble(lastPoint[2]);
+            
+            // Unix timestamp: 차이가 경과 시간(초)
+            return (long)(lastM - firstM);
+        } catch (Exception e) {
+            log.warn("M값 파싱 실패, 기존 방식 사용: {}", e.getMessage());
+            return java.time.Duration.between(
+                    track.getStartPosition().getTime(),
+                    track.getEndPosition().getTime()
+            ).getSeconds();
+        }
+    }
+
+
+
+    private void addHaeguInfo(VesselTrack track, VesselData vesselData) {
+        HaeguGeoUtils.HaeguTileInfo haeguInfo = haeguGeoUtils.getHaeguTileInfo(vesselData.getLat(), vesselData.getLon(), 0);
+        if (haeguInfo != null) {
+            track.setHaeguNo(haeguInfo.haeguNo);
+        }
+    }
+
+    // 개선된 area 정보 추가 메서드 - 캐시 활용
+    private void addAreaInfo(VesselTrack track) {
+        try {
+            String startAreaId = areaBoundaryCache.findAreaId(
+                track.getStartPosition().getLat(),
+                track.getStartPosition().getLon()
+            );
+            String endAreaId = areaBoundaryCache.findAreaId(
+                track.getEndPosition().getLat(),
+                track.getEndPosition().getLon()
+            );
+
+            if (startAreaId != null) {
+                track.setAreaId(startAreaId);
+                track.setEntryTime(track.getStartPosition().getTime());
+
+                if (!startAreaId.equals(endAreaId)) {
+                    track.setExitTime(track.getEndPosition().getTime());
+                }
+            }
+        } catch (Exception e) {
+            log.debug("Failed to add area info for vessel {}: {}", track.getVesselKey(), e.getMessage());
+        }
+    }
+
+}

src/main/java/gc/mda/signal_batch/batch/reader/InMemoryVesselDataReader.java

@@ -0,0 +1,54 @@
+package gc.mda.signal_batch.batch.reader;
+
+import gc.mda.signal_batch.global.util.VesselDataHolder;
+import gc.mda.signal_batch.domain.vessel.model.VesselData;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.core.StepExecution;
+import org.springframework.batch.core.annotation.AfterStep;
+import org.springframework.batch.core.annotation.BeforeStep;
+import org.springframework.batch.item.ItemReader;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.stereotype.Component;
+
+import java.util.Iterator;
+import java.util.List;
+
+
+@Component
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+@RequiredArgsConstructor
+@Slf4j
+public class InMemoryVesselDataReader implements ItemReader<VesselData> {
+    
+    private final VesselDataHolder dataHolder;
+    private Iterator<VesselData> iterator;
+    private boolean initialized = false;
+    
+    @BeforeStep
+    public void beforeStep(StepExecution stepExecution) {
+        List<VesselData> data = dataHolder.getData();
+        this.iterator = data.iterator();
+        this.initialized = true;
+        log.info("Initialized reader with {} items for step: {}", 
+                data.size(), stepExecution.getStepName());
+    }
+    
+    @Override
+    public VesselData read() {
+        if (!initialized) {
+            throw new IllegalStateException("Reader not initialized");
+        }
+        
+        if (iterator.hasNext()) {
+            return iterator.next();
+        }
+        return null;
+    }
+    
+    @AfterStep
+    public void afterStep(StepExecution stepExecution) {
+        iterator = null;
+        initialized = false;
+    }
+}

src/main/java/gc/mda/signal_batch/batch/reader/InMemoryVesselTrackDataReader.java

@@ -0,0 +1,73 @@
+package gc.mda.signal_batch.batch.reader;
+
+import gc.mda.signal_batch.global.util.VesselTrackDataHolder;
+import gc.mda.signal_batch.domain.vessel.model.VesselData;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.item.ItemReader;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+
+import java.util.*;
+import java.util.stream.Collectors;
+
+@Slf4j
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+@RequiredArgsConstructor
+public class InMemoryVesselTrackDataReader implements ItemReader<List<VesselData>> {
+    
+    private final VesselTrackDataHolder dataHolder;
+    private final int chunkSize;
+    
+    private Iterator<Map.Entry<String, List<VesselData>>> groupIterator;
+    private List<List<VesselData>> currentChunk;
+    private Iterator<List<VesselData>> chunkIterator;
+    private boolean initialized = false;
+    
+    public void initialize() {
+        
+        // 선박별로 그룹화 (sig_src_cd + target_id)
+        Map<String, List<VesselData>> groupedData = dataHolder.getAllVesselData().stream()
+                .collect(Collectors.groupingBy(VesselData::getVesselKey));
+        
+        // 각 그룹 내에서 시간순 정렬
+        groupedData.forEach((key, dataList) -> 
+                dataList.sort(Comparator.comparing(VesselData::getMessageTime)));
+        
+        groupIterator = groupedData.entrySet().iterator();
+        currentChunk = new ArrayList<>();
+        
+        log.info("Initialized track reader with {} vessel groups", groupedData.size());
+    }
+    
+    @Override
+    public List<VesselData> read() {
+        if (!initialized) {
+            initialize();
+            initialized = true;
+        }
+        
+        // 현재 청크에서 데이터 반환
+        if (chunkIterator != null && chunkIterator.hasNext()) {
+            return chunkIterator.next();
+        }
+        
+        // 새로운 청크 생성
+        currentChunk.clear();
+        int count = 0;
+        
+        while (groupIterator.hasNext() && count < chunkSize) {
+            Map.Entry<String, List<VesselData>> entry = groupIterator.next();
+            currentChunk.add(entry.getValue());
+            count++;
+        }
+        
+        if (currentChunk.isEmpty()) {
+            return null; // 더 이상 데이터 없음
+        }
+        
+        chunkIterator = currentChunk.iterator();
+        return chunkIterator.next();
+    }
+    
+
+}

src/main/java/gc/mda/signal_batch/batch/reader/PartitionedReader.java

@@ -0,0 +1,181 @@
+package gc.mda.signal_batch.batch.reader;
+
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.core.configuration.annotation.StepScope;
+import org.springframework.batch.core.partition.support.Partitioner;
+import org.springframework.batch.item.ExecutionContext;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.stereotype.Component;
+
+import java.time.LocalDate;
+import java.time.LocalDateTime;
+import java.time.format.DateTimeFormatter;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+
+@Slf4j
+@Component
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+@RequiredArgsConstructor
+public class PartitionedReader {
+
+    @Qualifier("collectJdbcTemplate")
+    private final JdbcTemplate collectJdbcTemplate;
+
+    @StepScope
+    public Partitioner dayPartitioner(@Value("#{jobParameters['processingDate']}") LocalDate processingDate) {
+        return gridSize -> {
+            Map<String, ExecutionContext> partitions = new HashMap<>();
+
+            // 파티션 존재 확인
+            String partitionName = generatePartitionName(processingDate);
+
+            if (checkPartitionExists(partitionName)) {
+                // 시간대별로 파티션 생성 (gridSize 고려)
+                int hoursPerPartition = 24 / Math.min(gridSize, 24);
+                int actualPartitions = Math.min(gridSize, 24);
+
+                for (int i = 0; i < actualPartitions; i++) {
+                    ExecutionContext context = new ExecutionContext();
+
+                    int startHour = i * hoursPerPartition;
+                    int endHour = (i == actualPartitions - 1) ? 24 : (i + 1) * hoursPerPartition;
+
+                    context.put("partition", partitionName);
+                    context.put("startTime", processingDate.atTime(startHour, 0));
+                    context.put("endTime", processingDate.atTime(endHour, 0));
+                    context.put("partitionIndex", i);
+
+                    partitions.put("partition-" + i, context);
+                }
+
+                log.info("Created {} partitions for table {}", partitions.size(), partitionName);
+
+            } else {
+                // 파티션이 없는 경우 처리
+                log.warn("Partition {} does not exist. Creating fallback partition.", partitionName);
+
+                // 동적으로 파티션 생성 시도
+                if (createMissingPartition(processingDate)) {
+                    // 재귀 호출로 다시 파티셔닝
+                    return dayPartitioner(processingDate).partition(gridSize);
+                }
+
+                // 실패 시 단일 파티션으로 처리
+                ExecutionContext context = new ExecutionContext();
+                context.put("partition", "");  // 전체 테이블에서 날짜 조건으로 읽기
+                context.put("startTime", processingDate.atStartOfDay());
+                context.put("endTime", processingDate.plusDays(1).atStartOfDay());
+                context.put("partitionIndex", 0);
+                partitions.put("partition-fallback", context);
+            }
+
+            return partitions;
+        };
+    }
+
+    /**
+     * 시간 범위 기반 파티셔너
+     */
+    @StepScope
+    public Partitioner rangePartitioner(
+            @Value("#{jobParameters['startTime']}") LocalDateTime startTime,
+            @Value("#{jobParameters['endTime']}") LocalDateTime endTime,
+            @Value("#{jobParameters['partitionCount']}") Integer partitionCount) {
+
+        return gridSize -> {
+            Map<String, ExecutionContext> partitions = new HashMap<>();
+
+            // 날짜별로 그룹화
+            Map<LocalDate, List<LocalDateTime>> dateGroups = groupByDate(startTime, endTime);
+
+            int partitionIndex = 0;
+            for (Map.Entry<LocalDate, List<LocalDateTime>> entry : dateGroups.entrySet()) {
+                LocalDate date = entry.getKey();
+                String partitionName = findPartitionForDate(date);
+
+                // 각 날짜에 대해 시간 범위 분할
+                LocalDateTime dayStart = entry.getValue().get(0);
+                LocalDateTime dayEnd = entry.getValue().get(1);
+
+                long totalMinutes = java.time.Duration.between(dayStart, dayEnd).toMinutes();
+                int subPartitions = Math.max(1, (int)(totalMinutes / 60)); // 시간 단위로 분할
+
+                for (int i = 0; i < subPartitions; i++) {
+                    ExecutionContext context = new ExecutionContext();
+
+                    LocalDateTime partStart = dayStart.plusHours(i);
+                    LocalDateTime partEnd = (i == subPartitions - 1) ? dayEnd : dayStart.plusHours(i + 1);
+
+                    context.put("startTime", partStart);
+                    context.put("endTime", partEnd);
+                    context.put("partition", partitionName != null ? partitionName : "");
+                    context.put("partitionIndex", partitionIndex++);
+
+                    partitions.put("range-partition-" + partitionIndex, context);
+                }
+            }
+
+            log.info("Created {} range partitions for period {} to {}",
+                    partitions.size(), startTime, endTime);
+
+            return partitions;
+        };
+    }
+
+    private String generatePartitionName(LocalDate date) {
+        // YYMMDD 형식으로 변경
+        return "sig_test_" + date.format(DateTimeFormatter.ofPattern("yyMMdd"));
+    }
+
+    private boolean checkPartitionExists(String partitionName) {
+        String sql = "SELECT EXISTS (SELECT 1 FROM pg_tables WHERE schemaname = 'signal' AND tablename = ?)";
+        return Boolean.TRUE.equals(collectJdbcTemplate.queryForObject(sql, Boolean.class, partitionName));
+    }
+
+    private String findPartitionForDate(LocalDate date) {
+        String partitionName = generatePartitionName(date);
+        return checkPartitionExists(partitionName) ? partitionName : null;
+    }
+
+    private boolean createMissingPartition(LocalDate date) {
+        try {
+            String partitionName = generatePartitionName(date);
+            String sql = String.format("""
+                CREATE TABLE IF NOT EXISTS signal.%s PARTITION OF signal.sig_test
+                FOR VALUES FROM ('%s') TO ('%s')
+                """, partitionName, date, date.plusDays(1));
+
+            collectJdbcTemplate.execute(sql);
+            log.info("Successfully created missing partition: {}", partitionName);
+            return true;
+
+        } catch (Exception e) {
+            log.error("Failed to create missing partition for date: {}", date, e);
+            return false;
+        }
+    }
+
+    private Map<LocalDate, List<LocalDateTime>> groupByDate(LocalDateTime start, LocalDateTime end) {
+        Map<LocalDate, List<LocalDateTime>> groups = new HashMap<>();
+
+        LocalDate currentDate = start.toLocalDate();
+        while (!currentDate.isAfter(end.toLocalDate())) {
+            LocalDateTime dayStart = currentDate.equals(start.toLocalDate()) ?
+                    start : currentDate.atStartOfDay();
+            LocalDateTime dayEnd = currentDate.equals(end.toLocalDate()) ?
+                    end : currentDate.plusDays(1).atStartOfDay();
+
+            groups.put(currentDate, List.of(dayStart, dayEnd));
+            currentDate = currentDate.plusDays(1);
+        }
+
+        return groups;
+    }
+}

src/main/java/gc/mda/signal_batch/batch/reader/VesselDataReader.java

@@ -0,0 +1,388 @@
+package gc.mda.signal_batch.batch.reader;
+
+import gc.mda.signal_batch.domain.vessel.model.VesselData;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.item.database.JdbcCursorItemReader;
+import org.springframework.batch.item.database.JdbcPagingItemReader;
+import org.springframework.batch.item.database.Order;
+import org.springframework.batch.item.database.support.PostgresPagingQueryProvider;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.jdbc.core.RowMapper;
+import org.springframework.stereotype.Component;
+
+import javax.sql.DataSource;
+import jakarta.annotation.PostConstruct;
+import java.sql.Connection;
+import java.sql.DatabaseMetaData;
+import java.sql.ResultSet;
+import java.sql.SQLException;
+import java.sql.Timestamp;
+import java.time.LocalDateTime;
+import java.time.format.DateTimeFormatter;
+import java.util.HashMap;
+import java.util.Map;
+
+@Slf4j
+@Component
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class VesselDataReader {
+
+    private final DataSource collectDataSource;
+    private final JdbcTemplate collectJdbcTemplate;
+
+    private static final DateTimeFormatter PARTITION_FORMATTER = DateTimeFormatter.ofPattern("yyMMdd");
+
+    public VesselDataReader(
+            @Qualifier("collectDataSource") DataSource collectDataSource,
+            @Qualifier("collectJdbcTemplate") JdbcTemplate collectJdbcTemplate) {
+        this.collectDataSource = collectDataSource;
+        this.collectJdbcTemplate = collectJdbcTemplate;
+    }
+
+    @PostConstruct
+    public void init() {
+        logDataSourceInfo();
+    }
+
+    /**
+     * 최신 위치만 가져오는 최적화된 Reader
+     * DISTINCT ON을 사용하여 각 선박의 최신 위치만 조회
+     */
+    public JdbcCursorItemReader<VesselData> vesselLatestPositionReader(
+            LocalDateTime startTime,
+            LocalDateTime endTime,
+            String partition) {
+
+        log.info("Creating optimized latest position reader from {} to {}", startTime, endTime);
+
+        JdbcCursorItemReader<VesselData> reader = new JdbcCursorItemReader<VesselData>() {
+            @Override
+            protected void openCursor(Connection con) {
+                try {
+                    // search_path 설정
+                    try (var stmt = con.createStatement()) {
+                        stmt.execute("SET search_path TO signal, public");
+                    }
+                } catch (Exception e) {
+                    log.error("Error setting search_path in cursor", e);
+                    throw new RuntimeException("Failed to set search_path", e);
+                }
+                super.openCursor(con);
+            }
+        };
+
+        reader.setDataSource(collectDataSource);
+        reader.setName("vesselLatestPositionReader");
+
+        // 성능 최적화 설정
+        reader.setFetchSize(10000);  // 줄임 (최신 위치만 가져오므로)
+        reader.setMaxRows(0);
+        reader.setQueryTimeout(300);
+        reader.setVerifyCursorPosition(false);
+        reader.setUseSharedExtendedConnection(false);
+        reader.setSaveState(false);
+
+        String tableName = determineTableName(partition, startTime);
+        log.info("Using table: {}", tableName);
+
+        // 최신 위치만 가져오는 SQL - DISTINCT ON 사용
+        String sql = """
+            SELECT DISTINCT ON (sig_src_cd, target_id)
+                message_time, real_time, sig_src_cd, target_id,
+                lat, lon, sog, cog, heading, ship_nm, ship_ty, rot, posacc,
+                sensor_id, base_st_id, mode, gps_sttus, battery_sttus,
+                vts_cd, mmsi, vpass_id, ship_no
+            FROM signal.%s
+            WHERE message_time >= ? AND message_time < ? 
+                AND sig_src_cd != '000005'
+                AND lat BETWEEN -90 AND 90 
+                AND lon BETWEEN -180 AND 180
+            ORDER BY sig_src_cd, target_id, message_time DESC
+            """.formatted(tableName);
+
+        reader.setSql(sql);
+
+        reader.setPreparedStatementSetter(ps -> {
+            ps.setObject(1, Timestamp.valueOf(startTime));
+            ps.setObject(2, Timestamp.valueOf(endTime));
+        });
+
+        reader.setRowMapper(new OptimizedVesselDataRowMapper());
+
+        // 예상 데이터 건수 로그
+        try {
+            Integer expectedCount = collectJdbcTemplate.queryForObject(
+                    """
+                    SELECT COUNT(*) FROM (
+                        SELECT DISTINCT ON (sig_src_cd, target_id) 1
+                        FROM signal.%s
+                        WHERE message_time >= ? AND message_time < ?
+                            AND sig_src_cd != '000005'
+                    ) t
+                    """.formatted(tableName),
+                    Integer.class,
+                    startTime, endTime
+            );
+            log.info("Expected record count (latest positions only): {}", expectedCount);
+        } catch (Exception e) {
+            log.warn("Could not get expected count: {}", e.getMessage());
+        }
+
+        return reader;
+    }
+
+    /**
+     * 기존 Cursor Reader (전체 데이터) - 타일 집계 등에 필요한 경우
+     */
+    public JdbcCursorItemReader<VesselData> vesselDataCursorReader(
+            LocalDateTime startTime,
+            LocalDateTime endTime,
+            String partition) {
+
+        log.info("Creating cursor reader for partition: {} from {} to {}",
+                partition, startTime, endTime);
+
+        JdbcCursorItemReader<VesselData> reader = new JdbcCursorItemReader<VesselData>() {
+            @Override
+            protected void openCursor(Connection con) {
+                try {
+                    try (var stmt = con.createStatement()) {
+                        stmt.execute("SET search_path TO signal, public");
+                    }
+                } catch (Exception e) {
+                    log.error("Error setting search_path in cursor", e);
+                    throw new RuntimeException("Failed to set search_path", e);
+                }
+                super.openCursor(con);
+            }
+        };
+
+        reader.setDataSource(collectDataSource);
+        reader.setName("vesselDataCursorReader");
+
+        reader.setFetchSize(50000);
+        reader.setMaxRows(0);
+        reader.setQueryTimeout(1800);
+        reader.setVerifyCursorPosition(false);
+        reader.setUseSharedExtendedConnection(false);
+        reader.setSaveState(false);
+
+        String tableName = determineTableName(partition, startTime);
+        log.info("Determined table name: {} for startTime: {}", tableName, startTime);
+
+        // 전체 데이터 조회 SQL (타일 집계용)
+        StringBuilder sql = new StringBuilder();
+        sql.append("SELECT /*+ PARALLEL(8) */ ");
+        sql.append("message_time, real_time, sig_src_cd, target_id, ");
+        sql.append("lat, lon, sog, cog, heading, ship_nm, ship_ty, rot, posacc, ");
+        sql.append("sensor_id, base_st_id, mode, gps_sttus, battery_sttus, ");
+        sql.append("vts_cd, mmsi, vpass_id, ship_no ");
+        sql.append("FROM signal.").append(tableName).append(" ");
+        sql.append("WHERE message_time >= ? AND message_time < ? AND sig_src_cd != '000005' ");
+        sql.append("ORDER BY message_time, sig_src_cd, target_id");
+
+        reader.setSql(sql.toString());
+
+        reader.setPreparedStatementSetter(ps -> {
+            ps.setTimestamp(1, Timestamp.valueOf(startTime));
+            ps.setTimestamp(2, Timestamp.valueOf(endTime));
+        });
+
+        reader.setRowMapper(new OptimizedVesselDataRowMapper());
+
+        return reader;
+    }
+
+    /**
+     * 기존 Paging Reader (작은 데이터셋용)
+     */
+    public JdbcPagingItemReader<VesselData> vesselDataPagingReader(
+            LocalDateTime startTime,
+            LocalDateTime endTime,
+            String partition) {
+
+        JdbcPagingItemReader<VesselData> reader = new JdbcPagingItemReader<>();
+        reader.setDataSource(collectDataSource);
+        reader.setPageSize(10000);
+        reader.setFetchSize(10000);
+        reader.setRowMapper(new OptimizedVesselDataRowMapper());
+
+        String tableName = determineTableName(partition, startTime);
+
+        PostgresPagingQueryProvider queryProvider = new PostgresPagingQueryProvider();
+        queryProvider.setSelectClause("SELECT message_time, real_time, sig_src_cd, target_id, " +
+                "lat, lon, sog, cog, heading, ship_nm, ship_ty, rot, posacc, " +
+                "sensor_id, base_st_id, mode, gps_sttus, battery_sttus, " +
+                "vts_cd, mmsi, vpass_id, ship_no ");
+
+        queryProvider.setFromClause("FROM signal." + tableName);
+        queryProvider.setWhereClause("WHERE message_time >= :startTime AND message_time < :endTime and sig_src_cd != '000005'");
+
+        Map<String, Order> sortKeys = new HashMap<>();
+        sortKeys.put("message_time", Order.ASCENDING);
+        sortKeys.put("sig_src_cd", Order.ASCENDING);
+        sortKeys.put("target_id", Order.ASCENDING);
+        queryProvider.setSortKeys(sortKeys);
+
+        reader.setQueryProvider(queryProvider);
+
+        Map<String, Object> parameterValues = new HashMap<>();
+        parameterValues.put("startTime", startTime);
+        parameterValues.put("endTime", endTime);
+        reader.setParameterValues(parameterValues);
+
+        try {
+            reader.afterPropertiesSet();
+        } catch (Exception e) {
+            log.error("Failed to initialize JdbcPagingItemReader", e);
+            throw new RuntimeException("Reader initialization failed", e);
+        }
+
+        return reader;
+    }
+
+    /**
+     * 파티션 테이블 이름 결정
+     */
+    private String determineTableName(String partition, LocalDateTime startTime) {
+        if (partition != null && !partition.isEmpty()) {
+            log.debug("Using specified partition: {}", partition);
+            return partition;
+        }
+
+        LocalDateTime targetTime = startTime != null ? startTime : LocalDateTime.now();
+        String partitionSuffix = targetTime.format(PARTITION_FORMATTER);
+        String tableName = "sig_test_" + partitionSuffix;
+
+        try {
+            Boolean exists = collectJdbcTemplate.queryForObject(
+                    "SELECT EXISTS (SELECT 1 FROM pg_tables WHERE schemaname = 'signal' AND tablename = ?)",
+                    Boolean.class,
+                    tableName
+            );
+
+            if (Boolean.TRUE.equals(exists)) {
+                log.info("Auto-selected partition table: {}", tableName);
+                return tableName;
+            } else {
+                log.warn("Partition table {} does not exist, using sig_test", tableName);
+                return "sig_test";
+            }
+        } catch (Exception e) {
+            log.error("Error checking partition table existence", e);
+            return "sig_test";
+        }
+    }
+
+    /**
+     * 최적화된 RowMapper
+     */
+    public static class OptimizedVesselDataRowMapper implements RowMapper<VesselData> {
+        @Override
+        public VesselData mapRow(ResultSet rs, int rowNum) throws SQLException {
+            VesselData data = new VesselData();
+
+            Timestamp messageTime = rs.getTimestamp(1);
+            if (messageTime != null) {
+                data.setMessageTime(messageTime.toLocalDateTime());
+            }
+
+            Timestamp realTime = rs.getTimestamp(2);
+            if (realTime != null) {
+                data.setRealTime(realTime.toLocalDateTime());
+            }
+
+            data.setSigSrcCd(rs.getString(3));
+            data.setTargetId(rs.getString(4));
+            data.setLat(rs.getDouble(5));
+            data.setLon(rs.getDouble(6));
+            data.setSog(rs.getBigDecimal(7));
+            data.setCog(rs.getBigDecimal(8));
+
+            data.setHeading(getIntegerFromNumeric(rs, 9));
+            data.setShipNm(rs.getString(10));
+            data.setShipTy(rs.getString(11));
+            data.setRot(getIntegerFromNumeric(rs, 12));
+            data.setPosacc(getIntegerFromNumeric(rs, 13));
+            data.setSensorId(rs.getString(14));
+            data.setBaseStId(rs.getString(15));
+            data.setMode(getIntegerFromNumeric(rs, 16));
+            data.setGpsSttus(getIntegerFromNumeric(rs, 17));
+            data.setBatterySttus(getIntegerFromNumeric(rs, 18));
+            data.setVtsCd(rs.getString(19));
+            data.setMmsi(rs.getString(20));
+            data.setVpassId(rs.getString(21));
+            data.setShipNo(rs.getString(22));
+
+            return data;
+        }
+
+        private Integer getIntegerFromNumeric(ResultSet rs, int columnIndex) throws SQLException {
+            Object value = rs.getObject(columnIndex);
+            if (value == null || rs.wasNull()) {
+                return null;
+            }
+
+            if (value instanceof java.math.BigDecimal) {
+                return ((java.math.BigDecimal) value).intValue();
+            } else if (value instanceof Integer) {
+                return (Integer) value;
+            } else if (value instanceof Number) {
+                return ((Number) value).intValue();
+            } else if (value instanceof String) {
+                try {
+                    return Integer.parseInt((String) value);
+                } catch (NumberFormatException e) {
+                    return null;
+                }
+            }
+
+            return null;
+        }
+    }
+
+    private void logDataSourceInfo() {
+        try {
+            String info = getDataSourceInfo(collectDataSource);
+            log.info("VesselDataReader initialized with DataSource: {}", info);
+        } catch (Exception e) {
+            log.error("Failed to get DataSource info", e);
+        }
+    }
+
+    private String getDataSourceInfo(DataSource dataSource) {
+        try (Connection conn = dataSource.getConnection()) {
+            DatabaseMetaData meta = conn.getMetaData();
+            String url = meta.getURL();
+            String user = meta.getUserName();
+            String db = conn.getCatalog();
+            String schema = conn.getSchema();
+            return String.format("URL=%s, User=%s, DB=%s, Schema=%s", url, user, db, schema);
+        } catch (Exception e) {
+            return "Unknown (" + e.getMessage() + ")";
+        }
+    }
+
+    @SuppressWarnings("unused")
+    private void testConnection(String tableName) {
+        try {
+            try (Connection conn = collectDataSource.getConnection()) {
+                try (var stmt = conn.createStatement()) {
+                    stmt.execute("SET search_path TO signal, public");
+                }
+
+                String testSql = "SELECT COUNT(*) FROM signal." + tableName + " LIMIT 1";
+                try (var stmt = conn.createStatement();
+                     var rs = stmt.executeQuery(testSql)) {
+                    if (rs.next()) {
+                        log.info("Direct connection test successful, count: {}", rs.getInt(1));
+                    }
+                }
+            }
+        } catch (Exception e) {
+            log.error("Connection test failed", e);
+        }
+    }
+}

src/main/java/gc/mda/signal_batch/batch/writer/AbnormalTrackWriter.java

@@ -0,0 +1,252 @@
+package gc.mda.signal_batch.batch.writer;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.fasterxml.jackson.datatype.jsr310.JavaTimeModule;
+import gc.mda.signal_batch.domain.vessel.model.VesselTrack;
+import gc.mda.signal_batch.batch.processor.AbnormalTrackDetector.AbnormalDetectionResult;
+import gc.mda.signal_batch.batch.processor.AbnormalTrackDetector.AbnormalSegment;
+import lombok.extern.slf4j.Slf4j;
+
+import org.springframework.batch.core.StepExecution;
+import org.springframework.batch.core.annotation.BeforeStep;
+import org.springframework.batch.item.Chunk;
+import org.springframework.batch.item.ItemWriter;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.stereotype.Component;
+import org.springframework.transaction.annotation.Transactional;
+
+import java.sql.Timestamp;
+import java.time.LocalDate;
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.stream.Collectors;
+
+/**
+ * 비정상 궤적 데이터를 별도 테이블에 저장하는 Writer
+ */
+@Slf4j
+@Component
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class AbnormalTrackWriter implements ItemWriter<AbnormalDetectionResult> {
+    
+    @Autowired
+    @Qualifier("queryJdbcTemplate")
+    private JdbcTemplate jdbcTemplate;
+    
+    // Unix timestamp 전용 - 설정 제거
+    
+    private final ObjectMapper objectMapper = new ObjectMapper()
+            .registerModule(new JavaTimeModule())
+            .disable(com.fasterxml.jackson.databind.SerializationFeature.WRITE_DATES_AS_TIMESTAMPS);
+    
+    private String jobName;
+    
+    public void setJobName(String jobName) {
+        this.jobName = jobName;
+        log.debug("AbnormalTrackWriter: Job name set to {}", jobName);
+    }
+    
+    @BeforeStep
+    public void beforeStep(StepExecution stepExecution) {
+        // CompositeTrackWriter에서 이미 설정된 경우 사용
+        if (this.jobName == null) {
+            // 직접 호출된 경우만 Job 이름 가져오기
+            this.jobName = stepExecution.getJobExecution().getJobInstance().getJobName();
+            log.debug("Job name from StepExecution: {}", jobName);
+        }
+    }
+    
+    @Override
+    @Transactional
+    public void write(Chunk<? extends AbnormalDetectionResult> items) throws Exception {
+        List<AbnormalDetectionResult> abnormalResults = items.getItems().stream()
+                .filter(AbnormalDetectionResult::hasAbnormalities)
+                .collect(Collectors.toList());
+        
+        if (abnormalResults.isEmpty()) {
+            return;
+        }
+        
+        // 1. 비정상 궤적 저장
+        saveAbnormalTracks(abnormalResults);
+        
+        // 2. 통계 업데이트
+        updateAbnormalStats(abnormalResults);
+        
+        log.info("비정상 궤적 저장 완료: {} 건", abnormalResults.size());
+    }
+    
+    private void saveAbnormalTracks(List<AbnormalDetectionResult> results) {
+        // track_geom만 사용
+        String geomColumn = "track_geom";
+        
+        String sql = String.format("""
+            INSERT INTO signal.t_abnormal_tracks (
+                sig_src_cd, target_id, time_bucket, %s,
+                abnormal_type, abnormal_reason, distance_nm, avg_speed,
+                max_speed, point_count, source_table
+            ) VALUES (?, ?, ?, public.ST_GeomFromText(?::text, 4326), ?, ?::jsonb, ?, ?, ?, ?, ?)
+            ON CONFLICT (sig_src_cd, target_id, time_bucket, source_table) 
+            DO UPDATE SET
+                %s = EXCLUDED.%s,
+                abnormal_type = EXCLUDED.abnormal_type,
+                abnormal_reason = EXCLUDED.abnormal_reason,
+                distance_nm = EXCLUDED.distance_nm,
+                avg_speed = EXCLUDED.avg_speed,
+                max_speed = EXCLUDED.max_speed,
+                point_count = EXCLUDED.point_count,
+                detected_at = NOW()
+        """, geomColumn, geomColumn, geomColumn);
+        
+        List<Object[]> batchArgs = new ArrayList<>();
+        
+        for (AbnormalDetectionResult result : results) {
+            VesselTrack track = result.getOriginalTrack();
+            List<AbnormalSegment> segments = result.getAbnormalSegments();
+            
+            // 주요 비정상 유형 결정 (첫 번째 검출된 유형)
+            String mainAbnormalType = segments.get(0).getType();
+            
+            // 비정상 이유 JSON 생성
+            Map<String, Object> abnormalReason = new HashMap<>();
+            abnormalReason.put("segments", segments.stream()
+                .map(seg -> {
+                    Map<String, Object> segMap = new HashMap<>();
+                    segMap.put("type", seg.getType());
+                    segMap.put("description", seg.getDescription());
+                    segMap.put("actualValue", seg.getActualValue());
+                    segMap.put("threshold", seg.getThreshold());
+                    segMap.put("details", seg.getDetails());
+                    return segMap;
+                })
+                .collect(Collectors.toList()));
+            
+            try {
+                String reasonJson = objectMapper.writeValueAsString(abnormalReason);
+                // track_geom만 사용
+                String geomWkt = track.getTrackGeom();
+                
+                if (geomWkt == null) {
+                    log.warn("비정상 궤적에 geometry 데이터 없음: vessel={}", track.getVesselKey());
+                    continue;
+                }
+                
+                batchArgs.add(new Object[] {
+                    track.getSigSrcCd(),
+                    track.getTargetId(),
+                    Timestamp.valueOf(track.getTimeBucket()),
+                    geomWkt,
+                    mainAbnormalType,
+                    reasonJson,
+                    track.getDistanceNm(),
+                    track.getAvgSpeed(),
+                    track.getMaxSpeed(),
+                    track.getPointCount(),
+                    inferSourceTableFromJob()
+                });
+            } catch (Exception e) {
+                log.error("비정상 궤적 JSON 변환 실패: vessel={}, error={}", 
+                    track.getVesselKey(), e.getMessage());
+            }
+        }
+        
+        if (!batchArgs.isEmpty()) {
+            jdbcTemplate.batchUpdate(sql, batchArgs);
+            log.info("비정상 궤적 DB 저장: {} 건", batchArgs.size());
+        }
+    }
+    
+    private void updateAbnormalStats(List<AbnormalDetectionResult> results) {
+        LocalDate today = LocalDate.now();
+        
+        // 비정상 유형별 통계 집계
+        Map<String, Stats> typeStats = new HashMap<>();
+        
+        for (AbnormalDetectionResult result : results) {
+            for (AbnormalSegment segment : result.getAbnormalSegments()) {
+                typeStats.computeIfAbsent(segment.getType(), k -> new Stats())
+                    .add(result.getOriginalTrack(), segment);
+            }
+        }
+        
+        // DB 업데이트
+        String sql = """
+            INSERT INTO signal.t_abnormal_track_stats (
+                stat_date, abnormal_type, vessel_count, track_count,
+                total_points, avg_deviation, max_deviation
+            ) VALUES (?, ?, ?, ?, ?, ?, ?)
+            ON CONFLICT (stat_date, abnormal_type)
+            DO UPDATE SET
+                vessel_count = t_abnormal_track_stats.vessel_count + EXCLUDED.vessel_count,
+                track_count = t_abnormal_track_stats.track_count + EXCLUDED.track_count,
+                total_points = t_abnormal_track_stats.total_points + EXCLUDED.total_points,
+                avg_deviation = (t_abnormal_track_stats.avg_deviation * t_abnormal_track_stats.track_count + 
+                                EXCLUDED.avg_deviation * EXCLUDED.track_count) / 
+                                (t_abnormal_track_stats.track_count + EXCLUDED.track_count),
+                max_deviation = GREATEST(t_abnormal_track_stats.max_deviation, EXCLUDED.max_deviation),
+                updated_at = NOW()
+        """;
+        
+        for (Map.Entry<String, Stats> entry : typeStats.entrySet()) {
+            Stats stats = entry.getValue();
+            jdbcTemplate.update(sql,
+                today,
+                entry.getKey(),
+                stats.vesselIds.size(),
+                stats.trackCount,
+                stats.totalPoints,
+                stats.getAvgDeviation(),
+                stats.maxDeviation
+            );
+        }
+        
+        log.info("비정상 궤적 통계 업데이트: {} 개 유형", typeStats.size());
+    }
+    
+    /**
+     * Job 이름을 기반으로 source_table 결정
+     */
+    private String inferSourceTableFromJob() {
+        if (jobName == null) {
+            log.warn("Job name is null, defaulting to 5min table");
+            return "t_vessel_tracks_5min";
+        }
+        
+        // Job 이름 기반 판단
+        if (jobName.toLowerCase().contains("daily")) {
+            return "t_vessel_tracks_daily";
+        } else if (jobName.toLowerCase().contains("hourly")) {
+            return "t_vessel_tracks_hourly";
+        } else {
+            return "t_vessel_tracks_5min";
+        }
+    }
+
+    
+    private static class Stats {
+        private final List<String> vesselIds = new ArrayList<>();
+        private int trackCount = 0;
+        private int totalPoints = 0;
+        private double sumDeviation = 0;
+        private double maxDeviation = 0;
+        
+        void add(VesselTrack track, AbnormalSegment segment) {
+            vesselIds.add(track.getVesselKey());
+            trackCount++;
+            totalPoints += track.getPointCount();
+            
+            double deviation = segment.getActualValue() - segment.getThreshold();
+            sumDeviation += deviation;
+            maxDeviation = Math.max(maxDeviation, deviation);
+        }
+        
+        double getAvgDeviation() {
+            return trackCount > 0 ? sumDeviation / trackCount : 0;
+        }
+    }
+}

src/main/java/gc/mda/signal_batch/batch/writer/CompositeTrackWriter.java

@@ -0,0 +1,84 @@
+package gc.mda.signal_batch.batch.writer;
+
+import gc.mda.signal_batch.domain.vessel.model.VesselTrack;
+import gc.mda.signal_batch.batch.processor.AbnormalTrackDetector.AbnormalDetectionResult;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.core.StepExecution;
+import org.springframework.batch.core.annotation.BeforeStep;
+import org.springframework.batch.item.Chunk;
+import org.springframework.batch.item.ItemWriter;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+
+import java.util.ArrayList;
+import java.util.List;
+
+
+/**
+ * 정상/비정상 궤적을 분리하여 저장하는 복합 Writer
+ */
+@Slf4j
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+@RequiredArgsConstructor
+public class CompositeTrackWriter implements ItemWriter<AbnormalDetectionResult> {
+    
+    private final VesselTrackBulkWriter vesselTrackBulkWriter;
+    private final AbnormalTrackWriter abnormalTrackWriter;
+    private final String targetTable;
+    
+    @BeforeStep
+    public void beforeStep(StepExecution stepExecution) {
+        // Job 이름을 AbnormalTrackWriter에 전달
+        String jobName = stepExecution.getJobExecution().getJobInstance().getJobName();
+        abnormalTrackWriter.setJobName(jobName);
+        log.debug("CompositeTrackWriter: Job name = {}", jobName);
+    }
+    
+    @Override
+    public void write(Chunk<? extends AbnormalDetectionResult> chunk) throws Exception {
+        List<VesselTrack> normalTracks = new ArrayList<>();
+        List<AbnormalDetectionResult> abnormalResults = new ArrayList<>();
+        
+        for (AbnormalDetectionResult result : chunk) {
+            // Processor에서 데이터가 없어서 null을 반환한 경우 스킵
+            if (result == null) {
+                continue;
+            }
+
+            if (result.hasAbnormalities()) {
+                // 비정상 궤적 수집
+                abnormalResults.add(result);
+
+                // 정정된 궤적이 있으면 정상 궤적으로 저장
+                // null이면 전체 궤적이 비정상이므로 제외
+                if (result.getCorrectedTrack() != null) {
+                    normalTracks.add(result.getCorrectedTrack());
+                } else {
+                    log.debug("비정상 궤적 전체 제외: vessel={}",
+                        result.getOriginalTrack().getVesselKey());
+                }
+            } else {
+                // 정상 궤적
+                normalTracks.add(result.getOriginalTrack());
+            }
+        }
+        
+        // 정상 궤적 저장
+        if (!normalTracks.isEmpty()) {
+            if ("hourly".equals(targetTable)) {
+                vesselTrackBulkWriter.writeHourlyTracks(normalTracks);
+            } else if ("daily".equals(targetTable)) {
+                vesselTrackBulkWriter.writeDailyTracks(normalTracks);
+            } else {
+                throw new IllegalArgumentException("Unknown target table: " + targetTable);
+            }
+            log.info("Wrote {} normal tracks to {} table", normalTracks.size(), targetTable);
+        }
+        
+        // 비정상 궤적 저장
+        if (!abnormalResults.isEmpty()) {
+            abnormalTrackWriter.write(new Chunk<>(abnormalResults));
+            log.info("Wrote {} abnormal track results", abnormalResults.size());
+        }
+    }
+}

src/main/java/gc/mda/signal_batch/batch/writer/OptimizedBulkInsertWriter.java

@@ -0,0 +1,702 @@
+package gc.mda.signal_batch.batch.writer;
+
+import com.google.common.util.concurrent.ThreadFactoryBuilder;
+import gc.mda.signal_batch.domain.gis.model.TileStatistics;
+import gc.mda.signal_batch.batch.processor.AreaStatisticsProcessor;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.fasterxml.jackson.databind.SerializationFeature;
+import com.fasterxml.jackson.datatype.jsr310.JavaTimeModule;
+import com.google.common.collect.Lists;
+import jakarta.annotation.PostConstruct;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.postgresql.copy.CopyManager;
+import org.postgresql.core.BaseConnection;
+import org.springframework.batch.item.Chunk;
+import org.springframework.batch.item.ItemWriter;
+import org.springframework.beans.factory.DisposableBean;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.stereotype.Component;
+import org.springframework.util.StopWatch;
+
+import javax.sql.DataSource;
+import java.io.*;
+import java.sql.Connection;
+import java.sql.Timestamp;
+import java.time.LocalDate;
+import java.time.LocalDateTime;
+import java.time.format.DateTimeFormatter;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.concurrent.*;
+import java.util.stream.Collectors;
+
+
+
+@Slf4j
+@Component
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class OptimizedBulkInsertWriter implements DisposableBean {
+
+    private final DataSource queryDataSource;
+    private final JdbcTemplate queryJdbcTemplate;
+
+    public OptimizedBulkInsertWriter(
+            @Qualifier("queryDataSource") DataSource queryDataSource,
+            @Qualifier("queryJdbcTemplate") JdbcTemplate queryJdbcTemplate) {
+        this.queryDataSource = queryDataSource;
+        this.queryJdbcTemplate = queryJdbcTemplate;
+
+        System.out.println("========================================");
+        System.out.println("!!! OptimizedBulkInsertWriter initialized !!!");
+        System.out.println("queryDataSource: " + queryDataSource);
+        System.out.println("queryJdbcTemplate DataSource: " + queryJdbcTemplate.getDataSource());
+        System.out.println("========================================");
+    }
+
+    private final ObjectMapper objectMapper = createObjectMapper();
+    
+    private static ObjectMapper createObjectMapper() {
+        ObjectMapper mapper = new ObjectMapper();
+        mapper.registerModule(new JavaTimeModule());
+        mapper.disable(SerializationFeature.WRITE_DATES_AS_TIMESTAMPS);
+        mapper.setDateFormat(new java.text.SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ss.SSS'Z'"));
+        mapper.setTimeZone(java.util.TimeZone.getTimeZone("Asia/Seoul"));
+        return mapper;
+    }
+
+    @Value("${vessel.batch.bulk-insert.batch-size:50000}")
+    private int batchSize;
+
+    @Value("${vessel.batch.bulk-insert.parallel-threads:4}")
+    private int parallelThreads;
+
+    @Value("${vessel.batch.bulk-insert.use-binary-copy:false}")
+    private boolean useBinaryCopy;
+
+    private volatile ExecutorService executorService;
+
+
+    private static final DateTimeFormatter TIMESTAMP_FORMATTER =
+            DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss");
+    
+    @PostConstruct
+    public void init() {
+        initializeExecutorService();
+    }
+    
+    /**
+     * ExecutorService 초기화 또는 재초기화
+     */
+    private synchronized void initializeExecutorService() {
+        if (executorService == null || executorService.isShutdown() || executorService.isTerminated()) {
+            if (executorService != null && !executorService.isShutdown()) {
+                executorService.shutdown();
+            }
+            
+            int threadCount = Math.max(8, Runtime.getRuntime().availableProcessors() * 2);
+            executorService = Executors.newFixedThreadPool(threadCount, 
+                new ThreadFactoryBuilder()
+                    .setNameFormat("bulk-insert-worker-%d")
+                    .setDaemon(true)  // 데몬 스레드로 설정하여 JVM 종료 시 자동 정리
+                    .build());
+                    
+            log.info("ExecutorService initialized with {} threads", threadCount);
+        }
+    }
+    
+    /**
+     * ExecutorService 상태 확인 및 필요시 재초기화
+     */
+    private ExecutorService getHealthyExecutorService() {
+        if (executorService == null || executorService.isShutdown() || executorService.isTerminated()) {
+            log.warn("ExecutorService is not healthy, reinitializing...");
+            initializeExecutorService();
+        }
+        return executorService;
+    }
+
+    /**
+     * TileStatistics Bulk Writer
+     */
+    public ItemWriter<List<TileStatistics>> tileStatisticsBulkWriter() {
+        return new ItemWriter<List<TileStatistics>>() {
+            @Override
+            public void write(Chunk<? extends List<TileStatistics>> chunk) throws Exception {
+                List<TileStatistics> allStats = chunk.getItems().stream()
+                        .flatMap(List::stream)
+                        .collect(Collectors.toList());
+
+                if (allStats.isEmpty()) {
+                    return;
+                }
+
+                StopWatch stopWatch = new StopWatch();
+                stopWatch.start();
+
+                try {
+                    // 파티션별로 그룹화
+                    Map<LocalDate, List<TileStatistics>> partitionedData =
+                            allStats.stream()
+                                    .collect(Collectors.groupingBy(
+                                            stat -> stat.getTimeBucket().toLocalDate()
+                                    ));
+
+                    // 병렬 처리
+                    List<CompletableFuture<BulkInsertResult>> futures = new ArrayList<>();
+
+                    for (Map.Entry<LocalDate, List<TileStatistics>> entry : partitionedData.entrySet()) {
+                        LocalDate date = entry.getKey();
+                        List<TileStatistics> data = entry.getValue();
+
+                        // 배치 크기로 분할
+                        Lists.partition(data, batchSize).forEach(batch -> {
+                            try {
+                                ExecutorService healthyExecutor = getHealthyExecutorService();
+                                CompletableFuture<BulkInsertResult> future = CompletableFuture.supplyAsync(() ->
+                                        insertTileStatisticsBatch(date, batch), healthyExecutor
+                                );
+                                futures.add(future);
+                            } catch (RejectedExecutionException e) {
+                                log.warn("RejectedExecutionException caught, falling back to synchronous processing");
+                                BulkInsertResult result = insertTileStatisticsBatch(date, batch);
+                                futures.add(CompletableFuture.completedFuture(result));
+                            }
+                        });
+                    }
+
+                    // 모든 작업 완료 대기
+                    CompletableFuture.allOf(futures.toArray(new CompletableFuture[0])).join();
+
+                    // 결과 집계
+                    long totalInserted = futures.stream()
+                            .map(CompletableFuture::join)
+                            .mapToLong(result -> result.rowsInserted)
+                            .sum();
+
+                    stopWatch.stop();
+                    log.info("Bulk inserted {} tile statistics in {} ms",
+                            totalInserted, stopWatch.getTotalTimeMillis());
+
+                } catch (Exception e) {
+                    // CompletionException에서 실제 원인 확인
+                    Throwable cause = e;
+                    if (e instanceof CompletionException && e.getCause() != null) {
+                        cause = e.getCause();
+                        if (cause instanceof RuntimeException && cause.getCause() != null) {
+                            cause = cause.getCause();
+                        }
+                    }
+                    
+                    // 중복 키 오류는 정상적인 상황
+                    if (cause.getMessage() != null && cause.getMessage().contains("중복된 키")) {
+                        log.debug("Duplicate key errors detected during bulk insert, using fallback UPSERT");
+                    } else {
+                        log.error("Bulk insert failed, falling back to batch insert", e);
+                    }
+                    
+                    // 새로운 트랜잭션에서 재시도
+                    try {
+                        fallbackBatchInsert(allStats);
+                    } catch (Exception fallbackEx) {
+                        log.error("Fallback insert also failed", fallbackEx);
+                        throw fallbackEx;
+                    }
+                }
+            }
+        };
+    }
+
+    /**
+     * 개별 배치 처리
+     */
+    private BulkInsertResult insertTileStatisticsBatch(LocalDate date,
+                                                       List<TileStatistics> batch) {
+
+        String tableName = "t_tile_summary_" + date.format(DateTimeFormatter.BASIC_ISO_DATE);
+
+        // 파티션 존재 확인
+        if (!checkTableExists(tableName)) {
+            tableName = "t_tile_summary"; // 기본 테이블 사용
+        }
+
+        try (Connection conn = queryDataSource.getConnection()) {
+            BaseConnection baseConn = conn.unwrap(BaseConnection.class);
+            CopyManager copyManager = new CopyManager(baseConn);
+
+            if (useBinaryCopy) {
+                return binaryCopyInsert(copyManager, tableName, batch);
+            } else {
+                return textCopyInsert(copyManager, tableName, batch);
+            }
+
+        } catch (Exception e) {
+            if (e.getMessage() != null && e.getMessage().contains("duplicate key")) {
+                // 중복 키는 정상적인 상황이므로 DEBUG 레벨로 기록
+                log.debug("Duplicate entries detected for table {} - switching to UPSERT mode", tableName);
+                // 새로운 트랜잭션에서 UPSERT 실행
+                try {
+                    return upsertBatch(tableName, batch);
+                } catch (Exception upsertEx) {
+                    log.error("UPSERT also failed for table {}", tableName, upsertEx);
+                    throw new RuntimeException("Both COPY and UPSERT failed", upsertEx);
+                }
+            }
+            log.error("Failed to insert batch for table {}", tableName, e);
+            throw new RuntimeException("Batch insert failed", e);
+        }
+    }
+
+    /**
+     * 텍스트 기반 COPY
+     */
+    private BulkInsertResult textCopyInsert(CopyManager copyManager, String tableName,
+                                            List<TileStatistics> batch) throws Exception {
+
+        String copySql = String.format("""
+            COPY signal.%s (
+                tile_id, tile_level, time_bucket, vessel_count,
+                unique_vessels, total_points, avg_sog, max_sog,
+                vessel_density, created_at
+            ) FROM STDIN
+            """, tableName);
+
+        try (PipedOutputStream pos = new PipedOutputStream();
+             PipedInputStream pis = new PipedInputStream(pos, 1024 * 1024); // 1MB 버퍼
+             PrintWriter writer = new PrintWriter(new BufferedWriter(
+                     new OutputStreamWriter(pos, "UTF-8"), 65536))) { // 64KB 버퍼
+
+            // 비동기로 데이터 쓰기
+            CompletableFuture<Void> writerFuture = CompletableFuture.runAsync(() -> {
+                try {
+                    for (TileStatistics stat : batch) {
+                        writer.println(formatCsvLine(stat));
+                    }
+                } finally {
+                    writer.close();
+                }
+            });
+
+            // COPY 실행
+            long rowsInserted = copyManager.copyIn(copySql, pis);
+
+            // Writer 완료 대기
+            writerFuture.join();
+
+            return new BulkInsertResult(rowsInserted, null);
+        }
+    }
+
+    /**
+     * 바이너리 기반 COPY (더 빠름)
+     */
+    private BulkInsertResult binaryCopyInsert(CopyManager copyManager, String tableName,
+                                              List<TileStatistics> batch) throws Exception {
+
+        String copySql = String.format("""
+            COPY signal.%s (
+                tile_id, tile_level, time_bucket, vessel_count,
+                unique_vessels, total_points, avg_sog, max_sog,
+                vessel_density, created_at
+            ) FROM STDIN WITH (FORMAT BINARY)
+            """, tableName);
+
+        try (ByteArrayOutputStream baos = new ByteArrayOutputStream()) {
+            // PostgreSQL 바이너리 형식 헤더
+            writeBinaryHeader(baos);
+
+            // 데이터 쓰기
+            for (TileStatistics stat : batch) {
+                writeBinaryRow(baos, stat);
+            }
+
+            // 트레일러
+            writeBinaryTrailer(baos);
+
+            // COPY 실행
+            try (ByteArrayInputStream bais = new ByteArrayInputStream(baos.toByteArray())) {
+                long rowsInserted = copyManager.copyIn(copySql, bais);
+                return new BulkInsertResult(rowsInserted, null);
+            }
+        }
+    }
+
+    /**
+     * CSV 라인 포맷팅
+     */
+    private String formatCsvLine(TileStatistics stat) {
+        String json = convertToJson(stat.getUniqueVessels());
+        // TEXT 형식에서는 탭과 줄바꿈만 이스케이프
+        String escapedJson = json.replace("\\", "\\\\")
+                                 .replace("\t", "\\t")
+                                 .replace("\n", "\\n")
+                                 .replace("\r", "\\r");
+        
+        return String.format("%s\t%d\t%s\t%d\t%s\t%d\t%s\t%s\t%s\t%s",
+                stat.getTileId(),
+                stat.getTileLevel(),
+                stat.getTimeBucket().format(TIMESTAMP_FORMATTER),
+                stat.getVesselCount(),
+                escapedJson,
+                stat.getTotalPoints(),
+                stat.getAvgSog() != null ? stat.getAvgSog().toString() : "\\N",
+                stat.getMaxSog() != null ? stat.getMaxSog().toString() : "\\N",
+                stat.getVesselDensity() != null ? stat.getVesselDensity().toString() : "\\N",
+                LocalDateTime.now().format(TIMESTAMP_FORMATTER)
+        );
+    }
+
+    /**
+     * CSV 특수문자 이스케이프
+     */
+    @SuppressWarnings("unused")
+    private String escapeCsv(String value) {
+        if (value == null) return "NULL";
+        return value.replace("\\", "\\\\")
+                .replace("|", "\\|")
+                .replace("\n", "\\n")
+                .replace("\r", "\\r")
+                .replace("\"", "\\\"");
+    }
+
+    /**
+     * JSON 이스케이프
+     */
+    @SuppressWarnings("unused")
+    private String escapeJson(String json) {
+        if (json == null) return "NULL";
+        return json.replace("\\", "\\\\")
+                .replace("|", "\\|")
+                .replace("\n", "\\n")
+                .replace("\r", "\\r");
+    }
+
+
+
+    /**
+     * 객체를 JSON으로 변환
+     */
+    private String convertToJson(Object obj) {
+        try {
+            if (obj == null) return "{}";
+            
+            // 클래스 레벨의 objectMapper 사용
+            String json = objectMapper.writeValueAsString(obj);
+            
+            // JSON 검증 로그
+            if (log.isDebugEnabled()) {
+                log.debug("Generated JSON: {}", json);
+            }
+            
+            return json;
+        } catch (Exception e) {
+            log.error("Error converting to JSON: {}", obj, e);
+            return "{}";
+        }
+    }
+
+    /**
+     * UPSERT 배치 처리 (중복키 발생 시)
+     */
+    private BulkInsertResult upsertBatch(String tableName, List<TileStatistics> batch) {
+        // 항상 tile_level도 포함하여 처리
+        String sql = String.format("""
+            INSERT INTO signal.%s (
+                tile_id, tile_level, time_bucket, vessel_count,
+                unique_vessels, total_points, avg_sog, max_sog,
+                vessel_density, created_at
+            ) VALUES (?, ?, ?, ?, ?::jsonb, ?, ?, ?, ?, ?)
+            ON CONFLICT (tile_id, time_bucket, tile_level) DO UPDATE SET
+                vessel_count = EXCLUDED.vessel_count,
+                unique_vessels = EXCLUDED.unique_vessels,
+                total_points = EXCLUDED.total_points,
+                avg_sog = EXCLUDED.avg_sog,
+                max_sog = EXCLUDED.max_sog,
+                vessel_density = EXCLUDED.vessel_density,
+                created_at = EXCLUDED.created_at
+        """, tableName);
+
+        long totalUpdated = 0;
+        
+        // 배치 크기로 분할
+        for (List<TileStatistics> partition : Lists.partition(batch, 1000)) {
+            List<Object[]> args = partition.stream()
+                .map(stat -> new Object[] {
+                    stat.getTileId(),
+                    stat.getTileLevel(),
+                    Timestamp.valueOf(stat.getTimeBucket()),
+                    stat.getVesselCount(),
+                    convertToJson(stat.getUniqueVessels()),
+                    stat.getTotalPoints(),
+                    stat.getAvgSog(),
+                    stat.getMaxSog(),
+                    stat.getVesselDensity(),
+                    Timestamp.valueOf(LocalDateTime.now())
+                })
+                .collect(Collectors.toList());
+            
+            int[] results = queryJdbcTemplate.batchUpdate(sql, args);
+            
+            for (int result : results) {
+                totalUpdated += result;
+            }
+        }
+        
+        log.info("Upserted {} records in table {}", totalUpdated, tableName);
+        return new BulkInsertResult(totalUpdated, null);
+    }
+
+    /**
+     * Fallback 배치 인서트
+     */
+    private void fallbackBatchInsert(List<TileStatistics> stats) {
+        String sql = """
+            INSERT INTO signal.t_tile_summary (
+                tile_id, tile_level, time_bucket, vessel_count,
+                unique_vessels, total_points, avg_sog, max_sog,
+                vessel_density, created_at
+            ) VALUES (?, ?, ?, ?, ?::jsonb, ?, ?, ?, ?, ?)
+            ON CONFLICT (tile_id, time_bucket, tile_level) DO UPDATE SET
+                vessel_count = EXCLUDED.vessel_count,
+                unique_vessels = EXCLUDED.unique_vessels,
+                total_points = EXCLUDED.total_points,
+                avg_sog = EXCLUDED.avg_sog,
+                max_sog = EXCLUDED.max_sog,
+                vessel_density = EXCLUDED.vessel_density,
+                created_at = EXCLUDED.created_at
+        """;
+
+        // 배치 크기로 분할
+        Lists.partition(stats, 1000).forEach(batch -> {
+            List<Object[]> args = batch.stream()
+                .map(stat -> new Object[] {
+                    stat.getTileId(),
+                    stat.getTileLevel(),
+                    Timestamp.valueOf(stat.getTimeBucket()),
+                    stat.getVesselCount(),
+                    convertToJson(stat.getUniqueVessels()),
+                    stat.getTotalPoints(),
+                    stat.getAvgSog(),
+                    stat.getMaxSog(),
+                    stat.getVesselDensity(),
+                    Timestamp.valueOf(LocalDateTime.now())
+                })
+                .collect(Collectors.toList());
+            
+            queryJdbcTemplate.batchUpdate(sql, args);
+        });
+    }
+
+    /**
+     * AreaStatistics Bulk Writer
+     */
+    public ItemWriter<List<AreaStatisticsProcessor.AreaStatistics>>
+    areaStatisticsBulkWriter() {
+
+        return new ItemWriter<List<AreaStatisticsProcessor.AreaStatistics>>() {
+            @Override
+            public void write(Chunk<? extends List<AreaStatisticsProcessor.AreaStatistics>> chunk)
+                    throws Exception {
+
+                List<AreaStatisticsProcessor.AreaStatistics> allStats =
+                        chunk.getItems().stream()
+                                .flatMap(List::stream)
+                                .collect(Collectors.toList());
+
+                if (allStats.isEmpty()) {
+                    return;
+                }
+
+                // 배치 크기로 분할하여 병렬 처리
+                Lists.partition(allStats, batchSize)
+                        .parallelStream()
+                        .forEach(batch -> insertAreaStatisticsBatch(batch));
+            }
+        };
+    }
+
+    private void insertAreaStatisticsBatch(
+            List<AreaStatisticsProcessor.AreaStatistics> batch) {
+
+        try (Connection conn = queryDataSource.getConnection()) {
+            BaseConnection baseConn = conn.unwrap(BaseConnection.class);
+            CopyManager copyManager = new CopyManager(baseConn);
+
+            String copySql = """
+                COPY signal.t_area_statistics (
+                    area_id, time_bucket, vessel_count,
+                    in_count, out_count, transit_vessels,
+                    stationary_vessels, avg_sog, created_at
+                ) FROM STDIN WITH (FORMAT CSV, DELIMITER '|', NULL 'NULL')
+            """;
+
+            StringWriter writer = new StringWriter();
+            for (var stat : batch) {
+                writer.write(String.format("%s|%s|%d|%d|%d|%s|%s|%s|%s\n",
+                        stat.getAreaId(),
+                        stat.getTimeBucket().format(TIMESTAMP_FORMATTER),
+                        stat.getVesselCount(),
+                        stat.getInCount(),
+                        stat.getOutCount(),
+                        escapeJson(convertToJson(stat.getTransitVessels())),
+                        escapeJson(convertToJson(stat.getStationaryVessels())),
+                        stat.getAvgSog() != null ? stat.getAvgSog().toString() : "NULL",
+                        LocalDateTime.now().format(TIMESTAMP_FORMATTER)
+                ));
+            }
+
+            long rowsInserted = copyManager.copyIn(copySql, new StringReader(writer.toString()));
+            log.debug("Inserted {} area statistics", rowsInserted);
+
+        } catch (Exception e) {
+            log.error("Failed to bulk insert area statistics", e);
+            // Fallback 처리
+        }
+    }
+
+    /**
+     * 테이블 존재 확인
+     */
+    private boolean checkTableExists(String tableName) {
+        String sql = "SELECT EXISTS (SELECT 1 FROM pg_tables WHERE schemaname = 'signal' AND tablename = ?)";
+        return Boolean.TRUE.equals(queryJdbcTemplate.queryForObject(sql, Boolean.class, tableName));
+    }
+
+
+    /**
+     * 바이너리 형식 헬퍼 메소드들
+     */
+    private void writeBinaryHeader(ByteArrayOutputStream baos) throws IOException {
+        // PostgreSQL 바이너리 COPY 헤더
+        baos.write("PGCOPY\n\377\r\n\0".getBytes("UTF-8"));
+        // 플래그
+        writeInt32(baos, 0);
+        // 헤더 확장 길이
+        writeInt32(baos, 0);
+    }
+
+    private void writeBinaryTrailer(ByteArrayOutputStream baos) throws IOException {
+        // -1 표시 (EOF)
+        writeInt16(baos, -1);
+    }
+
+    private void writeBinaryRow(ByteArrayOutputStream baos,
+                                TileStatistics stat) throws IOException {
+        // 필드 수
+        writeInt16(baos, 10);
+
+        // 각 필드 쓰기
+        writeString(baos, stat.getTileId());
+        writeInt32(baos, stat.getTileLevel());
+        writeTimestamp(baos, stat.getTimeBucket());
+        writeInt32(baos, stat.getVesselCount());
+        writeString(baos, convertToJson(stat.getUniqueVessels()));
+        writeInt64(baos, stat.getTotalPoints());
+        writeBigDecimal(baos, stat.getAvgSog());
+        writeBigDecimal(baos, stat.getMaxSog());
+        writeBigDecimal(baos, stat.getVesselDensity());
+        writeTimestamp(baos, LocalDateTime.now());
+    }
+
+    private void writeInt16(ByteArrayOutputStream baos, int value) throws IOException {
+        baos.write((value >> 8) & 0xFF);
+        baos.write(value & 0xFF);
+    }
+
+    private void writeInt32(ByteArrayOutputStream baos, int value) throws IOException {
+        baos.write((value >> 24) & 0xFF);
+        baos.write((value >> 16) & 0xFF);
+        baos.write((value >> 8) & 0xFF);
+        baos.write(value & 0xFF);
+    }
+
+    private void writeInt64(ByteArrayOutputStream baos, long value) throws IOException {
+        for (int i = 56; i >= 0; i -= 8) {
+            baos.write((int)(value >> i) & 0xFF);
+        }
+    }
+
+    private void writeString(ByteArrayOutputStream baos, String value) throws IOException {
+        if (value == null) {
+            writeInt32(baos, -1); // NULL
+        } else {
+            byte[] bytes = value.getBytes("UTF-8");
+            writeInt32(baos, bytes.length);
+            baos.write(bytes);
+        }
+    }
+
+    private void writeTimestamp(ByteArrayOutputStream baos, LocalDateTime value) throws IOException {
+        if (value == null) {
+            writeInt32(baos, -1); // NULL
+        } else {
+            // PostgreSQL timestamp 형식으로 변환
+            long micros = value.atZone(java.time.ZoneId.systemDefault())
+                    .toInstant().toEpochMilli() * 1000;
+            writeInt32(baos, 8); // 길이
+            writeInt64(baos, micros);
+        }
+    }
+
+    private void writeBigDecimal(ByteArrayOutputStream baos, java.math.BigDecimal value)
+            throws IOException {
+        if (value == null) {
+            writeInt32(baos, -1); // NULL
+        } else {
+            writeString(baos, value.toString());
+        }
+    }
+
+
+    /**
+     * 결과 클래스
+     */
+    private static class BulkInsertResult {
+        final long rowsInserted;
+        @SuppressWarnings("unused")
+        final String error;
+
+        BulkInsertResult(long rowsInserted, String error) {
+            this.rowsInserted = rowsInserted;
+            this.error = error;
+        }
+    }
+
+    /**
+     * 리소스 정리
+     */
+    public void shutdown() {
+        if (executorService != null && !executorService.isShutdown()) {
+            executorService.shutdown();
+            try {
+                if (!executorService.awaitTermination(60, TimeUnit.SECONDS)) {
+                    executorService.shutdownNow();
+                }
+            } catch (InterruptedException e) {
+                executorService.shutdownNow();
+            }
+        }
+    }
+    
+    @Override
+    public void destroy() throws Exception {
+        log.info("Shutting down OptimizedBulkInsertWriter ExecutorService");
+        if (executorService != null && !executorService.isShutdown()) {
+            executorService.shutdown();
+            try {
+                if (!executorService.awaitTermination(30, TimeUnit.SECONDS)) {
+                    log.warn("ExecutorService did not terminate gracefully, forcing shutdown");
+                    executorService.shutdownNow();
+                }
+            } catch (InterruptedException e) {
+                Thread.currentThread().interrupt();
+                executorService.shutdownNow();
+            }
+        }
+    }
+}

src/main/java/gc/mda/signal_batch/batch/writer/UpsertWriter.java

@@ -0,0 +1,271 @@
+package gc.mda.signal_batch.batch.writer;
+
+import gc.mda.signal_batch.domain.vessel.model.VesselLatestPosition;
+import gc.mda.signal_batch.batch.processor.AreaStatisticsProcessor.AreaStatistics;
+import gc.mda.signal_batch.global.util.ConcurrentUpdateManager;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.fasterxml.jackson.datatype.jsr310.JavaTimeModule;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.item.Chunk;
+import org.springframework.batch.item.ItemWriter;
+import org.springframework.batch.item.database.JdbcBatchItemWriter;
+import org.springframework.batch.item.database.BeanPropertyItemSqlParameterSourceProvider;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+
+import javax.sql.DataSource;
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.concurrent.*;
+
+
+
+@Slf4j
+@Configuration
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class UpsertWriter {
+
+    private final DataSource queryDataSource;
+    private final ConcurrentUpdateManager concurrentUpdateManager;
+
+    public UpsertWriter(
+            @Qualifier("queryDataSource") DataSource queryDataSource,
+            ConcurrentUpdateManager concurrentUpdateManager) {
+        this.queryDataSource = queryDataSource;
+        this.concurrentUpdateManager = concurrentUpdateManager;
+
+        System.out.println("========================================");
+        System.out.println("!!! UpsertWriter initialized !!!");
+        System.out.println("queryDataSource: " + queryDataSource);
+        System.out.println("========================================");
+    }
+
+    @Value("${vessel.batch.writer.use-advisory-lock:false}")
+    private boolean useAdvisoryLock;
+
+    @Value("${vessel.batch.writer.parallel-threads:4}")
+    private int parallelThreads;
+
+    private static final ExecutorService executorService = new ThreadPoolExecutor(
+            4, 8,
+            60L, TimeUnit.SECONDS,
+            new LinkedBlockingQueue<>(100),
+            new ThreadPoolExecutor.CallerRunsPolicy()
+    );
+
+    // shutdown hook 추가
+    static {
+        Runtime.getRuntime().addShutdownHook(new Thread(() -> {
+            log.info("Shutting down executor service...");
+            executorService.shutdown();
+            try {
+                if (!executorService.awaitTermination(60, TimeUnit.SECONDS)) {
+                    executorService.shutdownNow();
+                }
+            } catch (InterruptedException e) {
+                executorService.shutdownNow();
+            }
+        }));
+    }
+    
+    private final ObjectMapper objectMapper = new ObjectMapper()
+            .registerModule(new JavaTimeModule());
+
+    /**
+     * 최신 위치 Writer - Advisory Lock 사용
+     */
+    @Bean
+    public ItemWriter<VesselLatestPosition> latestPositionWriter() {
+        if (useAdvisoryLock) {
+            return new ItemWriter<VesselLatestPosition>() {
+                @Override
+                public void write(Chunk<? extends VesselLatestPosition> chunk) throws Exception {
+                    List<VesselLatestPosition> items = new ArrayList<>(chunk.getItems());
+
+                    // 병렬 처리를 위한 분할
+                    int batchSize = Math.max(1, items.size() / parallelThreads);
+                    List<CompletableFuture<Void>> futures = new ArrayList<>();
+
+                    for (int i = 0; i < items.size(); i += batchSize) {
+                        int endIndex = Math.min(i + batchSize, items.size());
+                        List<VesselLatestPosition> batch = items.subList(i, endIndex);
+
+                        CompletableFuture<Void> future = CompletableFuture.runAsync(() -> {
+                            for (VesselLatestPosition position : batch) {
+                                try {
+                                    concurrentUpdateManager.updateLatestPositionWithLock(position);
+                                } catch (Exception e) {
+                                    log.error("Failed to update position: {}", position.getTargetId(), e);
+                                }
+                            }
+                        }, executorService);
+
+                        futures.add(future);
+                    }
+
+                    // 모든 작업 완료 대기
+                    CompletableFuture.allOf(futures.toArray(new CompletableFuture[0]))
+                            .get(5, TimeUnit.MINUTES);
+
+                    log.debug("Updated {} vessel positions", items.size());
+                }
+            };
+        } else {
+            // 기존 방식 (Batch Update)
+            return defaultLatestPositionWriter();
+        }
+    }
+
+    /**
+     * 기본 Batch Writer
+     */
+    private JdbcBatchItemWriter<VesselLatestPosition> defaultLatestPositionWriter() {
+        return customLatestPositionWriter();
+    }
+    
+    /**
+     * Custom Writer - UPDATE 0건도 정상 처리
+     */
+    private JdbcBatchItemWriter<VesselLatestPosition> customLatestPositionWriter() {
+        String sql = """
+            INSERT INTO signal.t_vessel_latest_position (
+                sig_src_cd, target_id, lat, lon, geom,
+                sog, cog, heading, ship_nm, ship_ty,
+                last_update, update_count, created_at
+            ) VALUES (
+                :sigSrcCd, :targetId, :lat, :lon,
+                public.ST_SetSRID(public.ST_MakePoint(:lon, :lat), 4326),
+                :sog, :cog, :heading, :shipNm, :shipTy,
+                :lastUpdate, 1, CURRENT_TIMESTAMP
+            )
+            ON CONFLICT (sig_src_cd, target_id) DO UPDATE SET
+                lat = EXCLUDED.lat,
+                lon = EXCLUDED.lon,
+                geom = EXCLUDED.geom,
+                sog = EXCLUDED.sog,
+                cog = EXCLUDED.cog,
+                heading = EXCLUDED.heading,
+                ship_nm = COALESCE(EXCLUDED.ship_nm, t_vessel_latest_position.ship_nm),
+                ship_ty = COALESCE(EXCLUDED.ship_ty, t_vessel_latest_position.ship_ty),
+                last_update = EXCLUDED.last_update,
+                update_count = t_vessel_latest_position.update_count + 1
+            WHERE EXCLUDED.last_update > t_vessel_latest_position.last_update
+        """;
+
+        JdbcBatchItemWriter<VesselLatestPosition> writer = new JdbcBatchItemWriter<VesselLatestPosition>() {
+            @Override
+            public void write(Chunk<? extends VesselLatestPosition> chunk) throws Exception {
+                // assertUpdates 비활성화로 UPDATE 0건도 허용
+                this.setAssertUpdates(false);
+                super.write(chunk);
+            }
+        };
+        
+        writer.setDataSource(queryDataSource);
+        writer.setSql(sql);
+        writer.setItemSqlParameterSourceProvider(new BeanPropertyItemSqlParameterSourceProvider<>());
+        writer.afterPropertiesSet();
+        
+        return writer;
+    }
+
+    /**
+     * 구역 통계 Writer
+     */
+    @Bean
+    public ItemWriter<List<AreaStatistics>> areaStatisticsWriter() {
+        return new ItemWriter<List<AreaStatistics>>() {
+            @Override
+            public void write(Chunk<? extends List<AreaStatistics>> chunk) throws Exception {
+                // 중복 제거를 위한 Map 사용
+                Map<String, AreaStatistics> uniqueStats = new HashMap<>();
+                
+                for (List<AreaStatistics> batch : chunk.getItems()) {
+                    for (AreaStatistics stat : batch) {
+                        String key = stat.getAreaId() + "_" + stat.getTimeBucket();
+                        // 중복된 경우 나중 데이터로 덮어쓰기
+                        uniqueStats.put(key, stat);
+                    }
+                }
+                
+                List<AreaStatistics> allStats = new ArrayList<>(uniqueStats.values());
+                
+                if (allStats.isEmpty()) {
+                    return;
+                }
+                
+                // 배치를 더 작은 단위로 분할
+                int batchSize = 500;
+                JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+                jdbcTemplate.setQueryTimeout(60); // 60초 타임아웃
+                
+                for (int i = 0; i < allStats.size(); i += batchSize) {
+                    int endIndex = Math.min(i + batchSize, allStats.size());
+                    List<AreaStatistics> subBatch = allStats.subList(i, endIndex);
+                    
+                    String sql = """
+                        INSERT INTO signal.t_area_statistics (
+                            area_id, time_bucket, vessel_count, in_count, out_count,
+                            transit_vessels, stationary_vessels, avg_sog, created_at
+                        ) VALUES (
+                            ?, ?, ?, ?, ?,
+                            ?::jsonb, ?::jsonb, ?, CURRENT_TIMESTAMP
+                        )
+                        ON CONFLICT (area_id, time_bucket) DO UPDATE SET
+                            vessel_count = EXCLUDED.vessel_count,
+                            in_count = EXCLUDED.in_count,
+                            out_count = EXCLUDED.out_count,
+                            transit_vessels = EXCLUDED.transit_vessels,
+                            stationary_vessels = EXCLUDED.stationary_vessels,
+                            avg_sog = EXCLUDED.avg_sog
+                    """;
+                    
+                    List<Object[]> batchArgs = new ArrayList<>();
+                    for (AreaStatistics stats : subBatch) {
+                        batchArgs.add(new Object[]{
+                            stats.getAreaId(),
+                            java.sql.Timestamp.valueOf(stats.getTimeBucket()),
+                            stats.getVesselCount(),
+                            stats.getInCount(),
+                            stats.getOutCount(),
+                            objectMapper.writeValueAsString(stats.getTransitVessels()),
+                            objectMapper.writeValueAsString(stats.getStationaryVessels()),
+                            stats.getAvgSog()
+                        });
+                    }
+                    
+                    try {
+                        jdbcTemplate.batchUpdate(sql, batchArgs);
+                        log.debug("Updated {} area statistics records", subBatch.size());
+                    } catch (Exception e) {
+                        log.error("Failed to update batch of {} area statistics", subBatch.size(), e);
+                        throw e;
+                    }
+                }
+                
+                log.info("Total updated {} area statistics records", allStats.size());
+            }
+        };
+    }
+
+    /**
+     * 리소스 정리
+     */
+    public void shutdown() {
+        executorService.shutdown();
+        try {
+            if (!executorService.awaitTermination(60, TimeUnit.SECONDS)) {
+                executorService.shutdownNow();
+            }
+        } catch (InterruptedException e) {
+            executorService.shutdownNow();
+        }
+    }
+}

src/main/java/gc/mda/signal_batch/batch/writer/VesselTrackBulkWriter.java

@@ -0,0 +1,253 @@
+package gc.mda.signal_batch.batch.writer;
+
+import gc.mda.signal_batch.domain.vessel.model.VesselTrack;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.postgresql.copy.CopyManager;
+import org.postgresql.core.BaseConnection;
+import org.springframework.batch.item.Chunk;
+import org.springframework.batch.item.ItemWriter;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.stereotype.Component;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.fasterxml.jackson.datatype.jsr310.JavaTimeModule;
+
+import javax.sql.DataSource;
+import java.io.*;
+import java.sql.Connection;
+import java.sql.Timestamp;
+import java.time.format.DateTimeFormatter;
+import java.util.List;
+import java.util.Map;
+import java.util.LinkedHashMap;
+import java.util.stream.Collectors;
+
+@Slf4j
+@Component
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class VesselTrackBulkWriter implements ItemWriter<List<VesselTrack>> {
+
+    private final DataSource queryDataSource;
+    private final JdbcTemplate queryJdbcTemplate;
+
+    public VesselTrackBulkWriter(
+            @Qualifier("queryDataSource") DataSource queryDataSource,
+            @Qualifier("queryJdbcTemplate") JdbcTemplate queryJdbcTemplate) {
+        this.queryDataSource = queryDataSource;
+        this.queryJdbcTemplate = queryJdbcTemplate;
+    }
+
+    private static final DateTimeFormatter TIMESTAMP_FORMATTER =
+            DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss");
+    // DataSource 확인을 위한 초기화 메서드
+    @jakarta.annotation.PostConstruct
+    public void init() {
+        try {
+            java.sql.Connection conn = queryDataSource.getConnection();
+            String url = conn.getMetaData().getURL();
+            String user = conn.getMetaData().getUserName();
+            conn.close();
+            log.warn("========================================");
+            log.warn("!!! VesselTrackBulkWriter DataSource INFO !!!");
+            log.warn("!!! URL: {}", url);
+            log.warn("!!! User: {}", user);
+            log.warn("!!! DataSource Class: {}", queryDataSource.getClass().getName());
+            log.warn("========================================");
+        } catch (Exception e) {
+            log.error("Failed to get DataSource info", e);
+        }
+    }
+    
+    private final ObjectMapper objectMapper = new ObjectMapper()
+            .registerModule(new JavaTimeModule())
+            .setDateFormat(new java.text.SimpleDateFormat("yyyy-MM-dd HH:mm:ss"));
+    
+    @Override
+    public void write(Chunk<? extends List<VesselTrack>> chunk) throws Exception {
+        List<VesselTrack> allTracks = chunk.getItems().stream()
+                .flatMap(List::stream)
+                .collect(Collectors.toList());
+        
+        if (allTracks.isEmpty()) {
+            return;
+        }
+        
+        try {
+            bulkInsertTracks(allTracks, "signal.t_vessel_tracks_5min");
+        } catch (Exception e) {
+            log.error("Bulk insert failed, using fallback", e);
+            fallbackInsert(allTracks, "signal.t_vessel_tracks_5min");
+        }
+    }
+    
+    public void writeHourlyTracks(List<VesselTrack> tracks) throws Exception {
+        if (tracks.isEmpty()) {
+            return;
+        }
+        
+        try {
+            bulkInsertTracks(tracks, "signal.t_vessel_tracks_hourly");
+        } catch (Exception e) {
+            log.error("Hourly bulk insert failed, using fallback", e);
+            fallbackInsert(tracks, "signal.t_vessel_tracks_hourly");
+        }
+    }
+    
+    public void writeDailyTracks(List<VesselTrack> tracks) throws Exception {
+        if (tracks.isEmpty()) {
+            return;
+        }
+        
+        try {
+            bulkInsertTracks(tracks, "signal.t_vessel_tracks_daily");
+        } catch (Exception e) {
+            log.error("Daily bulk insert failed, using fallback", e);
+            fallbackInsert(tracks, "signal.t_vessel_tracks_daily");
+        }
+    }
+    
+    // track_geom만 사용하는 단순화된 COPY
+    private void bulkInsertTracks(List<VesselTrack> tracks, String tableName) throws Exception {
+        try (Connection conn = queryDataSource.getConnection()) {
+            BaseConnection baseConn = conn.unwrap(BaseConnection.class);
+            CopyManager copyManager = new CopyManager(baseConn);
+            
+            String copySql = String.format("""
+                COPY %s (
+                    sig_src_cd, target_id, time_bucket, track_geom,
+                    distance_nm, avg_speed, max_speed, point_count,
+                    start_position, end_position
+                ) FROM STDIN
+            """, tableName);
+            
+            StringWriter writer = new StringWriter();
+            for (VesselTrack track : tracks) {
+                writer.write(formatTrackLine(track));
+                writer.write('\n');
+            }
+            
+            long rowsInserted = copyManager.copyIn(copySql, new StringReader(writer.toString()));
+            log.info("Bulk inserted {} vessel tracks to {} (v2 only)", rowsInserted, tableName);
+        }
+    }
+    
+    private String formatTrackLine(VesselTrack track) {
+        StringBuilder sb = new StringBuilder();
+        
+        sb.append(track.getSigSrcCd()).append('\t');
+        sb.append(track.getTargetId()).append('\t');
+        sb.append(Timestamp.valueOf(track.getTimeBucket())).append('\t');
+        
+        // track_geom만 사용
+        if (track.getTrackGeom() != null && !track.getTrackGeom().isEmpty()) {
+            sb.append(track.getTrackGeom());
+        } else {
+            sb.append("\\N");
+        }
+        sb.append('\t');
+        
+        // distance_nm
+        if (track.getDistanceNm() != null) {
+            sb.append(track.getDistanceNm());
+        } else {
+            sb.append("\\N");
+        }
+        sb.append('\t');
+        
+        // avg_speed
+        if (track.getAvgSpeed() != null) {
+            sb.append(track.getAvgSpeed());
+        } else {
+            sb.append("\\N");
+        }
+        sb.append('\t');
+        
+        // max_speed
+        if (track.getMaxSpeed() != null) {
+            sb.append(track.getMaxSpeed());
+        } else {
+            sb.append("\\N");
+        }
+        sb.append('\t');
+        
+        // point_count
+        sb.append(track.getPointCount()).append('\t');
+        
+        // start_position (JSON)
+        if (track.getStartPosition() != null) {
+            sb.append(formatPositionJson(track.getStartPosition()));
+        } else {
+            sb.append("\\N");
+        }
+        sb.append('\t');
+        
+        // end_position (JSON)
+        if (track.getEndPosition() != null) {
+            sb.append(formatPositionJson(track.getEndPosition()));
+        } else {
+            sb.append("\\N");
+        }
+        
+        return sb.toString();
+    }
+    
+    private String formatPositionJson(VesselTrack.TrackPosition position) {
+        Map<String, Object> jsonMap = new LinkedHashMap<>();
+        jsonMap.put("lat", position.getLat());
+        jsonMap.put("lon", position.getLon());
+        jsonMap.put("time", position.getTime().format(TIMESTAMP_FORMATTER));
+        if (position.getSog() != null) {
+            jsonMap.put("sog", position.getSog());
+        }
+        
+        try {
+            return objectMapper.writeValueAsString(jsonMap);
+        } catch (Exception e) {
+            log.error("Failed to format position JSON", e);
+            return "{}";
+        }
+    }
+    
+    private void fallbackInsert(List<VesselTrack> tracks, String tableName) {
+        String sql = String.format("""
+            INSERT INTO %s (
+                sig_src_cd, target_id, time_bucket, track_geom,
+                distance_nm, avg_speed, max_speed, point_count,
+                start_position, end_position
+            ) VALUES (?, ?, ?, public.ST_GeomFromText(?), ?, ?, ?, ?, ?::jsonb, ?::jsonb)
+            ON CONFLICT (sig_src_cd, target_id, time_bucket)
+            DO UPDATE SET
+                track_geom = EXCLUDED.track_geom,
+                distance_nm = EXCLUDED.distance_nm,
+                avg_speed = EXCLUDED.avg_speed,
+                max_speed = EXCLUDED.max_speed,
+                point_count = EXCLUDED.point_count,
+                start_position = EXCLUDED.start_position,
+                end_position = EXCLUDED.end_position
+        """, tableName);
+        
+        for (VesselTrack track : tracks) {
+            try {
+                queryJdbcTemplate.update(sql,
+                    track.getSigSrcCd(),
+                    track.getTargetId(),
+                    Timestamp.valueOf(track.getTimeBucket()),
+                    track.getTrackGeom(),
+                    track.getDistanceNm(),
+                    track.getAvgSpeed(),
+                    track.getMaxSpeed(),
+                    track.getPointCount(),
+                    track.getStartPosition() != null ? formatPositionJson(track.getStartPosition()) : null,
+                    track.getEndPosition() != null ? formatPositionJson(track.getEndPosition()) : null
+                );
+                log.debug("Upserted track for vessel: {} to {}", 
+                    track.getSigSrcCd() + "_" + track.getTargetId(), tableName);
+            } catch (Exception e) {
+                log.error("Failed to upsert track for vessel: {} to {}", 
+                    track.getSigSrcCd() + "_" + track.getTargetId(), tableName, e);
+            }
+        }
+    }
+}

src/main/java/gc/mda/signal_batch/domain/debug/DebugTimeController.java

@@ -0,0 +1,166 @@
+package gc.mda.signal_batch.domain.debug;
+
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.web.bind.annotation.*;
+
+import javax.sql.DataSource;
+import java.sql.ResultSet;
+import java.sql.SQLException;
+import java.sql.Timestamp;
+import java.time.LocalDateTime;
+import java.time.ZoneId;
+import java.time.format.DateTimeFormatter;
+import java.util.*;
+
+@Slf4j
+@RestController
+@RequestMapping("/api/debug")
+public class DebugTimeController {
+
+    private final DataSource queryDataSource;
+
+    public DebugTimeController(@Qualifier("queryDataSource") DataSource queryDataSource) {
+        this.queryDataSource = queryDataSource;
+    }
+    
+    @GetMapping("/time-analysis")
+    public Map<String, Object> analyzeTimeData(
+            @RequestParam(defaultValue = "000001") String sigSrcCd,
+            @RequestParam(defaultValue = "440331240") String targetId,
+            @RequestParam(defaultValue = "2025-08-26T08:02:59") String startTime,
+            @RequestParam(defaultValue = "2025-08-27T08:02:59") String endTime) {
+        
+        JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+        Map<String, Object> result = new HashMap<>();
+        
+        LocalDateTime start = LocalDateTime.parse(startTime);
+        LocalDateTime end = LocalDateTime.parse(endTime);
+        
+        result.put("requestInfo", Map.of(
+            "sigSrcCd", sigSrcCd,
+            "targetId", targetId,
+            "startTime", startTime,
+            "endTime", endTime,
+            "startTimestamp", start.atZone(ZoneId.of("Asia/Seoul")).toEpochSecond(),
+            "endTimestamp", end.atZone(ZoneId.of("Asia/Seoul")).toEpochSecond()
+        ));
+        
+        // 1. DB 서버 시간 정보 확인
+        String timeSql = """
+            SELECT 
+                NOW() as current_time,
+                CURRENT_SETTING('TimeZone') as timezone,
+                EXTRACT(epoch FROM NOW()) as current_unix_timestamp
+        """;
+        
+        Map<String, Object> serverTime = jdbcTemplate.queryForMap(timeSql);
+        result.put("serverInfo", serverTime);
+        
+        // 2. 요청 범위의 실제 데이터 확인
+        String dataSql = """
+            SELECT 
+                time_bucket,
+                EXTRACT(epoch FROM time_bucket) as time_bucket_unix,
+                substring(public.ST_AsText(track_geom), 1, 200) as track_sample,
+                distance_nm,
+                avg_speed,
+                point_count
+            FROM signal.t_vessel_tracks_5min 
+            WHERE sig_src_cd = ? AND target_id = ?
+            AND time_bucket BETWEEN ? AND ?
+            ORDER BY time_bucket
+            LIMIT 10
+        """;
+        
+        List<Map<String, Object>> dataRows = jdbcTemplate.query(dataSql, 
+            (rs, rowNum) -> {
+                Map<String, Object> row = new HashMap<>();
+                row.put("time_bucket", rs.getTimestamp("time_bucket"));
+                row.put("time_bucket_unix", rs.getLong("time_bucket_unix"));
+                row.put("track_sample", rs.getString("track_sample"));
+                row.put("distance_nm", rs.getBigDecimal("distance_nm"));
+                row.put("avg_speed", rs.getBigDecimal("avg_speed"));
+                row.put("point_count", rs.getInt("point_count"));
+                
+                // Track geometry에서 첫 번째 점의 unix timestamp 추출
+                String trackSample = rs.getString("track_sample");
+                if (trackSample != null && trackSample.contains("LINESTRING M")) {
+                    try {
+                        String coordsPart = trackSample.substring(trackSample.indexOf("(") + 1);
+                        if (coordsPart.contains(",")) {
+                            String firstPoint = coordsPart.split(",")[0].trim();
+                            String[] parts = firstPoint.split("\\s+");
+                            if (parts.length >= 3) {
+                                row.put("first_point_unix", parts[2]);
+                                // Unix timestamp를 readable date로 변환
+                                long unixTime = Long.parseLong(parts[2]);
+                                LocalDateTime dateTime = LocalDateTime.ofInstant(
+                                    java.time.Instant.ofEpochSecond(unixTime), 
+                                    ZoneId.of("Asia/Seoul")
+                                );
+                                row.put("first_point_kst", dateTime.format(DateTimeFormatter.ISO_LOCAL_DATE_TIME));
+                            }
+                        }
+                    } catch (Exception e) {
+                        row.put("parse_error", e.getMessage());
+                    }
+                }
+                
+                return row;
+            },
+            sigSrcCd, targetId, Timestamp.valueOf(start), Timestamp.valueOf(end)
+        );
+        
+        result.put("queryResults", dataRows);
+        
+        // 3. 더 넓은 범위에서 해당 선박의 최신 데이터 확인
+        String recentSql = """
+            SELECT 
+                time_bucket,
+                EXTRACT(epoch FROM time_bucket) as time_bucket_unix,
+                substring(public.ST_AsText(track_geom), 1, 100) as track_sample
+            FROM signal.t_vessel_tracks_5min 
+            WHERE sig_src_cd = ? AND target_id = ?
+            ORDER BY time_bucket DESC
+            LIMIT 5
+        """;
+        
+        List<Map<String, Object>> recentRows = jdbcTemplate.query(recentSql,
+            (rs, rowNum) -> {
+                Map<String, Object> row = new HashMap<>();
+                row.put("time_bucket", rs.getTimestamp("time_bucket"));
+                row.put("time_bucket_unix", rs.getLong("time_bucket_unix"));
+                row.put("track_sample", rs.getString("track_sample"));
+                return row;
+            },
+            sigSrcCd, targetId
+        );
+        
+        result.put("recentData", recentRows);
+        
+        // 4. 시간 차이 분석
+        if (!dataRows.isEmpty()) {
+            Map<String, Object> firstRow = dataRows.get(0);
+            Map<String, Object> lastRow = dataRows.get(dataRows.size() - 1);
+            
+            Map<String, Object> analysis = new HashMap<>();
+            analysis.put("foundRecords", dataRows.size());
+            analysis.put("firstRecord", Map.of(
+                "time_bucket", firstRow.get("time_bucket"),
+                "unix_from_geometry", firstRow.get("first_point_unix"),
+                "kst_from_geometry", firstRow.get("first_point_kst")
+            ));
+            analysis.put("lastRecord", Map.of(
+                "time_bucket", lastRow.get("time_bucket"),
+                "unix_from_geometry", lastRow.get("first_point_unix"),
+                "kst_from_geometry", lastRow.get("first_point_kst")
+            ));
+            
+            result.put("analysis", analysis);
+        }
+        
+        return result;
+    }
+}

src/main/java/gc/mda/signal_batch/domain/gis/cache/AreaBoundaryCache.java

@@ -0,0 +1,158 @@
+package gc.mda.signal_batch.domain.gis.cache;
+
+import lombok.extern.slf4j.Slf4j;
+import org.locationtech.jts.geom.Coordinate;
+import org.locationtech.jts.geom.GeometryFactory;
+import org.locationtech.jts.geom.Point;
+import org.locationtech.jts.geom.Polygon;
+import org.locationtech.jts.io.WKTReader;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.stereotype.Component;
+
+import jakarta.annotation.PostConstruct;
+import javax.sql.DataSource;
+import java.util.*;
+import java.util.concurrent.ConcurrentHashMap;
+import java.util.stream.Collectors;
+
+
+@Slf4j
+@Component
+public class AreaBoundaryCache {
+
+    private final DataSource queryDataSource;
+    private final Map<String, Polygon> areaPolygons = new ConcurrentHashMap<>();
+    private final Map<Integer, Polygon> haeguPolygons = new ConcurrentHashMap<>();
+    private final GeometryFactory geometryFactory = new GeometryFactory();
+    private final WKTReader wktReader = new WKTReader(geometryFactory);
+
+    public AreaBoundaryCache(@Qualifier("queryDataSource") DataSource queryDataSource) {
+        this.queryDataSource = queryDataSource;
+    }
+    
+    @PostConstruct
+    public void loadBoundaries() {
+        loadAreaBoundaries();
+        loadHaeguBoundaries();
+    }
+    
+    private void loadAreaBoundaries() {
+        try {
+            JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+            
+            String sql = """
+                SELECT area_id, public.ST_AsText(area_geom) as wkt
+                FROM signal.t_areas
+            """;
+            
+            List<Map<String, Object>> areas = jdbcTemplate.queryForList(sql);
+            
+            for (Map<String, Object> area : areas) {
+                String areaId = (String) area.get("area_id");
+                String wkt = (String) area.get("wkt");
+                try {
+                    Polygon polygon = (Polygon) wktReader.read(wkt);
+                    areaPolygons.put(areaId, polygon);
+                } catch (Exception e) {
+                    log.warn("Failed to parse geometry for area {}: {}", areaId, e.getMessage());
+                }
+            }
+            
+            log.info("Loaded {} areas into cache", areaPolygons.size());
+        } catch (Exception e) {
+            log.error("Failed to load areas cache", e);
+        }
+    }
+    
+    private void loadHaeguBoundaries() {
+        try {
+            JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+            
+            String sql = """
+                SELECT haegu_no, public.ST_AsText(geom) as wkt
+                FROM signal.t_haegu_definitions
+            """;
+            
+            List<Map<String, Object>> haegus = jdbcTemplate.queryForList(sql);
+            
+            for (Map<String, Object> haegu : haegus) {
+                Integer haeguNo = (Integer) haegu.get("haegu_no");
+                String wkt = (String) haegu.get("wkt");
+                try {
+                    Polygon polygon = (Polygon) wktReader.read(wkt);
+                    haeguPolygons.put(haeguNo, polygon);
+                } catch (Exception e) {
+                    log.warn("Failed to parse geometry for haegu {}: {}", haeguNo, e.getMessage());
+                }
+            }
+            
+            log.info("Loaded {} haegus into cache", haeguPolygons.size());
+        } catch (Exception e) {
+            log.error("Failed to load haegus cache", e);
+        }
+    }
+    
+    // 포인트가 속한 모든 area ID 반환
+    public Set<String> findAreasForPoint(double lat, double lon) {
+        Point point = geometryFactory.createPoint(new Coordinate(lon, lat));
+        
+        return areaPolygons.entrySet().stream()
+                .filter(entry -> entry.getValue().contains(point))
+                .map(Map.Entry::getKey)
+                .collect(Collectors.toSet());
+    }
+    
+    // 포인트가 속한 모든 haegu 번호 반환
+    public Set<Integer> findHaegusForPoint(double lat, double lon) {
+        Point point = geometryFactory.createPoint(new Coordinate(lon, lat));
+        
+        return haeguPolygons.entrySet().stream()
+                .filter(entry -> entry.getValue().contains(point))
+                .map(Map.Entry::getKey)
+                .collect(Collectors.toSet());
+    }
+    
+    // 특정 area에 포인트가 포함되는지 확인
+    public boolean isPointInArea(double lat, double lon, String areaId) {
+        Polygon polygon = areaPolygons.get(areaId);
+        if (polygon == null) return false;
+        
+        Point point = geometryFactory.createPoint(new Coordinate(lon, lat));
+        return polygon.contains(point);
+    }
+    
+    // 특정 haegu에 포인트가 포함되는지 확인
+    public boolean isPointInHaegu(double lat, double lon, Integer haeguNo) {
+        Polygon polygon = haeguPolygons.get(haeguNo);
+        if (polygon == null) return false;
+        
+        Point point = geometryFactory.createPoint(new Coordinate(lon, lat));
+        return polygon.contains(point);
+    }
+    
+    // Job 실행 시 캐시 갱신
+    public void refresh() {
+        areaPolygons.clear();
+        haeguPolygons.clear();
+        loadBoundaries();
+    }
+    
+    // 포인트가 속한 첫 번째 area ID 반환 (우선순위 기반)
+    public String findAreaId(double lat, double lon) {
+        Set<String> areas = findAreasForPoint(lat, lon);
+        return areas.isEmpty() ? null : areas.iterator().next();
+    }
+    
+    // 캐시 크기 반환
+    public int getCacheSize() {
+        return areaPolygons.size() + haeguPolygons.size();
+    }
+    
+    // 캐시 클리어
+    public void clearCache() {
+        areaPolygons.clear();
+        haeguPolygons.clear();
+        log.info("Area boundary cache cleared");
+    }
+}

src/main/java/gc/mda/signal_batch/domain/gis/controller/GisController.java

@@ -0,0 +1,96 @@
+package gc.mda.signal_batch.domain.gis.controller;
+
+import gc.mda.signal_batch.domain.gis.dto.GisBoundaryResponse;
+import gc.mda.signal_batch.domain.vessel.dto.VesselStatsResponse;
+import gc.mda.signal_batch.domain.vessel.dto.TrackResponse;
+import gc.mda.signal_batch.domain.vessel.dto.VesselTracksRequest;
+import gc.mda.signal_batch.domain.vessel.dto.CompactVesselTrack;
+import gc.mda.signal_batch.domain.vessel.dto.RecentVesselPositionDto;
+import gc.mda.signal_batch.domain.gis.service.GisService;
+import gc.mda.signal_batch.domain.vessel.service.VesselPositionService;
+import io.swagger.v3.oas.annotations.Operation;
+import io.swagger.v3.oas.annotations.Parameter;
+import io.swagger.v3.oas.annotations.tags.Tag;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.web.bind.annotation.*;
+
+import java.util.List;
+import java.util.Map;
+
+
+@Slf4j
+@RestController
+@RequestMapping("/api/v1")
+@RequiredArgsConstructor
+@Tag(name = "항적 조회 API", description = "해구 및 영역별 선박 항적 조회 및 통계 API")
+public class GisController {
+    
+    private final GisService gisService;
+    private final VesselPositionService vesselPositionService;
+    
+    @GetMapping("/haegu/boundaries")
+    @Operation(summary = "해구 경계 조회", description = "모든 해구의 경계 정보를 GeoJSON 형식으로 반환")
+    public List<GisBoundaryResponse> getHaeguBoundaries() {
+        return gisService.getHaeguBoundaries();
+    }
+    
+    @GetMapping("/haegu/vessel-stats")
+    @Operation(summary = "해구별 선박 통계", description = "지정된 시간 동안의 해구별 선박 통계")
+    public Map<Integer, VesselStatsResponse> getHaeguVesselStats(
+            @RequestParam(defaultValue = "60") int minutes) {
+        return gisService.getHaeguVesselStats(minutes);
+    }
+    
+    @GetMapping("/areas/boundaries")
+    @Operation(summary = "사용자 정의 영역 경계 조회", description = "모든 사용자 정의 영역의 경계 정보")
+    public List<GisBoundaryResponse> getAreaBoundaries() {
+        return gisService.getAreaBoundaries();
+    }
+    
+    @GetMapping("/areas/vessel-stats")
+    @Operation(summary = "영역별 선박 통계", description = "지정된 시간 동안의 영역별 선박 통계")
+    public Map<String, VesselStatsResponse> getAreaVesselStats(
+            @RequestParam(defaultValue = "60") int minutes) {
+        return gisService.getAreaVesselStats(minutes);
+    }
+    
+    @GetMapping("/tracks/haegu/{haeguNo}")
+    @Operation(summary = "해구별 선박 항적", description = "특정 해구의 선박 항적 조회")
+    public List<TrackResponse> getHaeguTracks(
+            @PathVariable Integer haeguNo,
+            @RequestParam(defaultValue = "60") int minutes) {
+        return gisService.getHaeguTracks(haeguNo, minutes);
+    }
+    
+    @GetMapping("/tracks/area/{areaId}")
+    @Operation(summary = "영역별 선박 항적", description = "특정 영역의 선박 항적 조회")
+    public List<TrackResponse> getAreaTracks(
+            @PathVariable String areaId,
+            @RequestParam(defaultValue = "60") int minutes) {
+        return gisService.getAreaTracks(areaId, minutes);
+    }
+    
+    @PostMapping("/tracks/vessels")
+    @Operation(summary = "선박별 항적 조회", description = "지정된 선박들의 항적을 조회합니다.")
+    public List<CompactVesselTrack> getVesselTracks(
+            @RequestBody VesselTracksRequest request) {
+        return gisService.getVesselTracks(request);
+    }
+    
+    @GetMapping("/vessels/recent-positions")
+    @Operation(
+        summary = "최근 위치 업데이트된 선박 조회", 
+        description = "지정된 시간(분) 이내에 위치가 업데이트된 모든 선박의 최신 위치 정보를 반환합니다."
+    )
+    public List<RecentVesselPositionDto> getRecentVesselPositions(
+            @Parameter(description = "조회할 시간 범위 (분 단위)", example = "30")
+            @RequestParam(defaultValue = "5") int minutes) {
+        
+        if (minutes <= 0 || minutes > 1440) { // 24시간 제한
+            throw new IllegalArgumentException("Minutes must be between 1 and 1440");
+        }
+        
+        return vesselPositionService.getRecentVesselPositions(minutes);
+    }
+}

src/main/java/gc/mda/signal_batch/domain/gis/controller/MapTileController.java

@@ -0,0 +1,107 @@
+package gc.mda.signal_batch.domain.gis.controller;
+
+import org.springframework.core.io.FileSystemResource;
+import org.springframework.core.io.Resource;
+import org.springframework.http.HttpHeaders;
+import org.springframework.http.HttpStatus;
+import org.springframework.http.MediaType;
+import org.springframework.http.ResponseEntity;
+import org.springframework.web.bind.annotation.GetMapping;
+import org.springframework.web.bind.annotation.PathVariable;
+import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.RestController;
+
+import java.io.File;
+import java.nio.file.Path;
+import java.nio.file.Paths;
+
+@RestController
+@RequestMapping("/api/tiles")
+public class MapTileController {
+
+    private static final String TILE_BASE_PATH = "/devdata/MAPS/WORLD_webp";
+    private static final String TILE_ENC_PATH = "/devdata/MAPS/ENC_RAS_webp";
+
+    @GetMapping("/world/{z}/{x}/{y}.webp")
+    public ResponseEntity<Resource> getWorldTile(
+            @PathVariable int z,
+            @PathVariable int x,
+            @PathVariable int y) {
+
+        try {
+            // 안전한 경로 생성
+            Path tilePath = Paths.get(TILE_BASE_PATH, String.valueOf(z),
+                    String.valueOf(x), y + ".webp");
+            File tileFile = tilePath.toFile();
+
+            if (!tileFile.exists() || !tileFile.isFile()) {
+                return ResponseEntity.notFound().build();
+            }
+
+            // 경로 탐색 공격 방지
+            if (!tileFile.getCanonicalPath().startsWith(new File(TILE_BASE_PATH).getCanonicalPath())) {
+                return ResponseEntity.status(HttpStatus.FORBIDDEN).build();
+            }
+
+            FileSystemResource resource = new FileSystemResource(tileFile);
+
+            HttpHeaders headers = new HttpHeaders();
+            headers.setContentType(MediaType.valueOf("image/webp"));
+            headers.setCacheControl("public, max-age=86400"); // 24시간 캐시
+
+            return ResponseEntity.ok()
+                    .headers(headers)
+                    .body(resource);
+
+        } catch (Exception e) {
+            return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).build();
+        }
+    }
+
+    @GetMapping("/enc/{z}/{x}/{y}.webp")
+    public ResponseEntity<Resource> getEncTile(
+            @PathVariable int z,
+            @PathVariable int x,
+            @PathVariable int y) {
+
+        try {
+            // 안전한 경로 생성
+            Path tilePath = Paths.get(TILE_ENC_PATH, String.valueOf(z),
+                    String.valueOf(x), y + ".webp");
+            File tileFile = tilePath.toFile();
+
+            if (!tileFile.exists() || !tileFile.isFile()) {
+                return ResponseEntity.notFound().build();
+            }
+
+            // 경로 탐색 공격 방지
+            if (!tileFile.getCanonicalPath().startsWith(new File(TILE_ENC_PATH).getCanonicalPath())) {
+                return ResponseEntity.status(HttpStatus.FORBIDDEN).build();
+            }
+
+            FileSystemResource resource = new FileSystemResource(tileFile);
+
+            HttpHeaders headers = new HttpHeaders();
+            headers.setContentType(MediaType.valueOf("image/webp"));
+            headers.setCacheControl("public, max-age=86400"); // 24시간 캐시
+
+            return ResponseEntity.ok()
+                    .headers(headers)
+                    .body(resource);
+
+        } catch (Exception e) {
+            return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).build();
+        }
+    }
+    
+    @GetMapping("/health")
+    public ResponseEntity<String> checkTileService() {
+        File baseDir = new File(TILE_BASE_PATH);
+        if (baseDir.exists() && baseDir.isDirectory()) {
+            return ResponseEntity.ok("Tile service is operational. Base path: " + TILE_BASE_PATH);
+        } else {
+            return ResponseEntity.status(HttpStatus.SERVICE_UNAVAILABLE)
+                    .body("Tile directory not found: " + TILE_BASE_PATH);
+        }
+    }
+}

src/main/java/gc/mda/signal_batch/domain/gis/controller/TileAggregationController.java

@@ -0,0 +1,125 @@
+package gc.mda.signal_batch.domain.gis.controller;
+
+import gc.mda.signal_batch.domain.gis.dto.TileAggregationRequest;
+import gc.mda.signal_batch.domain.gis.dto.TileAggregationResponse;
+import gc.mda.signal_batch.domain.gis.service.TileAggregationService;
+import io.swagger.v3.oas.annotations.Operation;
+import io.swagger.v3.oas.annotations.Parameter;
+import io.swagger.v3.oas.annotations.tags.Tag;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.format.annotation.DateTimeFormat;
+import org.springframework.http.ResponseEntity;
+import org.springframework.validation.annotation.Validated;
+import org.springframework.web.bind.annotation.*;
+
+import java.time.LocalDateTime;
+import java.util.Map;
+
+
+@Slf4j
+@RestController
+@RequestMapping("/api/v1/tiles")
+@RequiredArgsConstructor
+@Tag(name = "Tile Aggregation API", description = "대해구/소해구 기반 선박 집계 데이터 조회 API")
+@Validated
+public class TileAggregationController {
+
+    private final TileAggregationService tileAggregationService;
+
+    @Operation(
+        summary = "타일별 선박 집계 조회",
+        description = """
+            지정된 기간 동안의 타일별 선박 집계 정보를 조회합니다.
+            - tile_id가 지정된 경우: 해당 타일(대해구/소해구)의 상세 정보 반환
+            - tile_id가 없는 경우: 전체 대해구 요약 정보 반환
+            
+            중복 제거 정책:
+            - 동일 선박이 여러 시간대에 나타날 경우 최신 위치만 포함
+            - unique_vessels에는 각 선박의 마지막 위치 정보가 포함됨
+            """
+    )
+    @GetMapping("/aggregation")
+    public ResponseEntity<TileAggregationResponse> getTileAggregation(
+            @Parameter(description = "조회 시작 시간 (yyyy-MM-dd'T'HH:mm:ss)", required = true, example = "2025-01-18T00:00:00")
+            @RequestParam
+            @DateTimeFormat(iso = DateTimeFormat.ISO.DATE_TIME)
+            LocalDateTime fromDate,
+            
+            @Parameter(description = "조회 종료 시간 (yyyy-MM-dd'T'HH:mm:ss)", required = true, example = "2025-01-18T23:59:59")
+            @RequestParam
+            @DateTimeFormat(iso = DateTimeFormat.ISO.DATE_TIME)
+            LocalDateTime toDate,
+            
+            @Parameter(description = "타일 ID (대해구: H238, 소해구: H238_S5)", required = false, example = "H238")
+            @RequestParam(required = false)
+            String tileId
+    ) {
+        log.info("Tile aggregation request - fromDate: {}, toDate: {}, tileId: {}", fromDate, toDate, tileId);
+        
+        // 유효성 검증
+        if (fromDate.isAfter(toDate)) {
+            throw new IllegalArgumentException("fromDate cannot be after toDate");
+        }
+        
+        TileAggregationRequest request = TileAggregationRequest.builder()
+                .fromDate(fromDate)
+                .toDate(toDate)
+                .tileId(tileId)
+                .build();
+                
+        TileAggregationResponse response = tileAggregationService.getTileAggregation(request);
+        
+        return ResponseEntity.ok(response);
+    }
+
+    @Operation(
+        summary = "특정 타일의 시계열 집계 조회",
+        description = "지정된 타일의 시간대별 선박 변화 추이를 조회합니다."
+    )
+    @GetMapping("/aggregation/{tileId}/timeseries")
+    public ResponseEntity<Object> getTileTimeSeries(
+            @Parameter(description = "타일 ID", required = true, example = "H238")
+            @PathVariable String tileId,
+            
+            @Parameter(description = "조회 시작 시간", required = true)
+            @RequestParam
+            @DateTimeFormat(iso = DateTimeFormat.ISO.DATE_TIME)
+            LocalDateTime fromDate,
+            
+            @Parameter(description = "조회 종료 시간", required = true)
+            @RequestParam
+            @DateTimeFormat(iso = DateTimeFormat.ISO.DATE_TIME)
+            LocalDateTime toDate,
+            
+            @Parameter(description = "집계 간격 (분)", required = false, example = "60")
+            @RequestParam(defaultValue = "60") 
+            Integer intervalMinutes
+    ) {
+        log.info("Tile timeseries request - tileId: {}, fromDate: {}, toDate: {}, interval: {} minutes", 
+                tileId, fromDate, toDate, intervalMinutes);
+        
+        // TODO: 시계열 데이터 조회 서비스 구현
+        return ResponseEntity.ok(Map.of(
+            "message", "Time series endpoint - To be implemented",
+            "tileId", tileId,
+            "fromDate", fromDate,
+            "toDate", toDate,
+            "intervalMinutes", intervalMinutes
+        ));
+    }
+
+    @Operation(
+        summary = "타일 정보 조회",
+        description = "타일 ID로 타일의 메타데이터(대해구/소해구 정보, 경계 좌표 등)를 조회합니다."
+    )
+    @GetMapping("/info/{tileId}")
+    public ResponseEntity<Object> getTileInfo(
+            @Parameter(description = "타일 ID", required = true, example = "H238")
+            @PathVariable String tileId
+    ) {
+        log.info("Tile info request - tileId: {}", tileId);
+        
+        return ResponseEntity.ok(tileAggregationService.getTileInfo(tileId));
+    }
+}

src/main/java/gc/mda/signal_batch/domain/gis/dto/GisBoundaryResponse.java

@@ -0,0 +1,27 @@
+package gc.mda.signal_batch.domain.gis.dto;
+
+import com.fasterxml.jackson.annotation.JsonProperty;
+import lombok.Builder;
+import lombok.Data;
+
+@Data
+@Builder
+public class GisBoundaryResponse {
+    @JsonProperty("haegu_no")
+    private Integer haeguNo;
+    
+    @JsonProperty("area_id")
+    private String areaId;
+    
+    @JsonProperty("area_name")
+    private String areaName;
+    
+    @JsonProperty("geom_json")
+    private String geomJson; // GeoJSON 형식의 geometry
+    
+    @JsonProperty("center_lat")
+    private Double centerLat;
+    
+    @JsonProperty("center_lon")
+    private Double centerLon;
+}

src/main/java/gc/mda/signal_batch/domain/gis/dto/TileAggregationRequest.java

@@ -0,0 +1,18 @@
+package gc.mda.signal_batch.domain.gis.dto;
+
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.time.LocalDateTime;
+
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+public class TileAggregationRequest {
+    private LocalDateTime fromDate;
+    private LocalDateTime toDate;
+    private String tileId;
+}

src/main/java/gc/mda/signal_batch/domain/gis/dto/TileAggregationResponse.java

@@ -0,0 +1,171 @@
+package gc.mda.signal_batch.domain.gis.dto;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.time.LocalDateTime;
+import java.util.List;
+import java.util.Map;
+
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+@Schema(description = "타일 집계 응답")
+public class TileAggregationResponse {
+    
+    @Schema(description = "요청 정보")
+    private RequestInfo request;
+    
+    @Schema(description = "집계 요약")
+    private AggregationSummary summary;
+    
+    @Schema(description = "타일별 상세 데이터")
+    private List<TileDetail> tiles;
+    
+    @Schema(description = "응답 생성 시간")
+    private LocalDateTime responseTime;
+    
+    @Data
+    @Builder
+    @NoArgsConstructor
+    @AllArgsConstructor
+    @Schema(description = "요청 정보")
+    public static class RequestInfo {
+        @Schema(description = "조회 시작 시간")
+        private LocalDateTime fromDate;
+        
+        @Schema(description = "조회 종료 시간")
+        private LocalDateTime toDate;
+        
+        @Schema(description = "조회 타일 ID (없으면 전체)")
+        private String tileId;
+        
+        @Schema(description = "타일 레벨 (0: 대해구, 1: 소해구)")
+        private Integer tileLevel;
+    }
+    
+    @Data
+    @Builder
+    @NoArgsConstructor
+    @AllArgsConstructor
+    @Schema(description = "집계 요약")
+    public static class AggregationSummary {
+        @Schema(description = "전체 타일 수")
+        private Integer totalTiles;
+        
+        @Schema(description = "전체 고유 선박 수")
+        private Integer totalUniqueVessels;
+        
+        @Schema(description = "조회된 타임버킷 수")
+        private Integer timeBuckets;
+        
+        @Schema(description = "평균 선박 밀도")
+        private Double avgVesselDensity;
+        
+        @Schema(description = "최대 선박 수를 가진 타일 ID")
+        private String maxVesselTileId;
+        
+        @Schema(description = "최대 선박 수")
+        private Integer maxVesselCount;
+    }
+    
+    @Data
+    @Builder
+    @NoArgsConstructor
+    @AllArgsConstructor
+    @Schema(description = "타일 상세 정보")
+    public static class TileDetail {
+        @Schema(description = "타일 ID", example = "H238")
+        private String tileId;
+        
+        @Schema(description = "타일 레벨 (0: 대해구, 1: 소해구)")
+        private Integer tileLevel;
+        
+        @Schema(description = "대해구 번호")
+        private Integer haeguNo;
+        
+        @Schema(description = "소해구 번호 (소해구인 경우)")
+        private Integer sohaeguNo;
+        
+        @Schema(description = "고유 선박 수")
+        private Integer vesselCount;
+        
+        @Schema(description = "평균 선박 밀도 (선박수/km²)")
+        private Double avgDensity;
+        
+        @Schema(description = "선박별 상세 정보", example = """
+            {
+              "000001_413409000": {
+                "lat": 38.507038,
+                "lon": 121.69615,
+                "sog": 15.3,
+                "lastSeen": "2025-01-18T15:15:01"
+              }
+            }
+            """)
+        private Map<String, VesselInfo> uniqueVessels;
+        
+        @Schema(description = "타일 경계 정보")
+        private TileBoundary boundary;
+        
+        @Schema(description = "하위 타일 정보 (대해구인 경우)")
+        private List<TileDetail> subTiles;
+    }
+    
+    @Data
+    @Builder
+    @NoArgsConstructor
+    @AllArgsConstructor
+    @Schema(description = "선박 정보")
+    public static class VesselInfo {
+        @Schema(description = "위도", example = "35.123456")
+        private Double lat;
+        
+        @Schema(description = "경도", example = "129.123456")
+        private Double lon;
+        
+        @Schema(description = "속도 (knots)", example = "12.5")
+        private Double sog;
+        
+        @Schema(description = "마지막 확인 시간")
+        private LocalDateTime lastSeen;
+        
+        @Schema(description = "선박명 (있는 경우)")
+        private String shipName;
+        
+        @Schema(description = "MMSI (있는 경우)")
+        private String mmsi;
+    }
+    
+    @Data
+    @Builder
+    @NoArgsConstructor
+    @AllArgsConstructor
+    @Schema(description = "타일 경계 정보")
+    public static class TileBoundary {
+        @Schema(description = "최소 위도")
+        private Double minLat;
+        
+        @Schema(description = "최소 경도")
+        private Double minLon;
+        
+        @Schema(description = "최대 위도")
+        private Double maxLat;
+        
+        @Schema(description = "최대 경도")
+        private Double maxLon;
+        
+        @Schema(description = "중심점 위도")
+        private Double centerLat;
+        
+        @Schema(description = "중심점 경도")
+        private Double centerLon;
+        
+        @Schema(description = "면적 (km²)")
+        private Double area;
+    }
+}

src/main/java/gc/mda/signal_batch/domain/gis/model/TileStatistics.java

@@ -0,0 +1,142 @@
+package gc.mda.signal_batch.domain.gis.model;
+
+
+import gc.mda.signal_batch.domain.vessel.model.VesselData;
+import com.fasterxml.jackson.core.JsonProcessingException;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+
+import java.math.BigDecimal;
+import java.time.LocalDateTime;
+import java.util.HashMap;
+import java.util.Map;
+
+@Slf4j
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+public class TileStatistics implements java.io.Serializable {
+    private String tileId;
+    private Integer tileLevel;
+    private LocalDateTime timeBucket;
+    private Integer vesselCount;
+    private Map<String, VesselInfo> uniqueVessels;
+    private Long totalPoints;
+    private BigDecimal avgSog;
+    private BigDecimal maxSog;
+    private BigDecimal vesselDensity;
+    private LocalDateTime createdAt;
+
+    @Data
+    @Builder
+    @NoArgsConstructor
+    @AllArgsConstructor
+    public static class VesselInfo implements java.io.Serializable {
+        private Double lat;
+        private Double lon;
+        private BigDecimal sog;
+        private LocalDateTime lastSeen;
+    }
+
+    public TileStatistics(String tileId, Integer level, LocalDateTime timeBucket) {
+        this.tileId = tileId;
+        this.tileLevel = level;
+        this.timeBucket = timeBucket;
+        this.uniqueVessels = new HashMap<>();
+        this.totalPoints = 0L;
+        this.avgSog = BigDecimal.ZERO;
+        this.maxSog = BigDecimal.ZERO;
+    }
+
+    public void addVesselData(VesselData data) {
+        String vesselKey = data.getVesselKey();
+
+        VesselInfo info = VesselInfo.builder()
+                .lat(data.getLat())
+                .lon(data.getLon())
+                .sog(data.getSog())
+                .lastSeen(data.getMessageTime())
+                .build();
+
+        uniqueVessels.put(vesselKey, info);
+        // totalPoints 제거 - 최신 위치만 사용
+
+        // Update statistics
+        if (data.getSog() != null) {
+            if (maxSog == null || data.getSog().compareTo(maxSog) > 0) {
+                maxSog = data.getSog();
+            }
+        }
+
+        vesselCount = uniqueVessels.size();
+
+        // 평균 속도는 모든 선박의 현재 속도 평균
+        BigDecimal totalSog = BigDecimal.ZERO;
+        int sogCount = 0;
+        for (VesselInfo vessel : uniqueVessels.values()) {
+            if (vessel.getSog() != null) {
+                totalSog = totalSog.add(vessel.getSog());
+                sogCount++;
+            }
+        }
+        if (sogCount > 0) {
+            avgSog = totalSog.divide(BigDecimal.valueOf(sogCount), 2, BigDecimal.ROUND_HALF_UP);
+        }
+    }
+
+    /**
+     * unique_vessels를 JSON 문자열로 변환
+     */
+    public String getUniqueVesselsJson() {
+        if (uniqueVessels == null || uniqueVessels.isEmpty()) {
+            return "{}";
+        }
+
+        try {
+            ObjectMapper mapper = new ObjectMapper();
+            return mapper.writeValueAsString(uniqueVessels);
+        } catch (JsonProcessingException e) {
+            log.error("Failed to convert unique vessels to JSON", e);
+            return "{}";
+        }
+    }
+
+    /**
+     * 타일 통계 병합 (대해구 집계용)
+     */
+    public void merge(TileStatistics other) {
+        if (other == null) return;
+
+        // unique vessels 병합
+        if (other.uniqueVessels != null) {
+            this.uniqueVessels.putAll(other.uniqueVessels);
+        }
+
+        // vessel count 업데이트
+        this.vesselCount = this.uniqueVessels.size();
+
+        // total points 합산
+        this.totalPoints += other.totalPoints;
+
+        // max sog 업데이트
+        if (other.maxSog != null && (this.maxSog == null || other.maxSog.compareTo(this.maxSog) > 0)) {
+            this.maxSog = other.maxSog;
+        }
+
+        // average sog 재계산 (가중 평균)
+        if (this.totalPoints > 0 && other.avgSog != null) {
+            BigDecimal thisWeight = BigDecimal.valueOf(this.totalPoints - other.totalPoints);
+            BigDecimal otherWeight = BigDecimal.valueOf(other.totalPoints);
+
+            BigDecimal weightedSum = this.avgSog.multiply(thisWeight)
+                    .add(other.avgSog.multiply(otherWeight));
+
+            this.avgSog = weightedSum.divide(BigDecimal.valueOf(this.totalPoints), 2, BigDecimal.ROUND_HALF_UP);
+        }
+    }
+}

src/main/java/gc/mda/signal_batch/domain/gis/service/GisService.java

@@ -0,0 +1,609 @@
+package gc.mda.signal_batch.domain.gis.service;
+
+import gc.mda.signal_batch.domain.gis.dto.GisBoundaryResponse;
+import gc.mda.signal_batch.domain.vessel.dto.TrackResponse;
+import gc.mda.signal_batch.domain.vessel.dto.VesselStatsResponse;
+import gc.mda.signal_batch.domain.vessel.dto.VesselTracksRequest;
+import gc.mda.signal_batch.domain.vessel.dto.CompactVesselTrack;
+import gc.mda.signal_batch.domain.vessel.dto.IntegrationVessel;
+import gc.mda.signal_batch.domain.vessel.service.IntegrationVesselService;
+import gc.mda.signal_batch.global.util.IntegrationSignalConstants;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.stereotype.Service;
+
+import javax.sql.DataSource;
+import java.sql.ResultSet;
+import java.sql.SQLException;
+import java.sql.Timestamp;
+import java.time.Duration;
+import java.time.LocalDateTime;
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.stream.Collectors;
+
+
+@Slf4j
+@Service
+public class GisService {
+
+    private final DataSource queryDataSource;
+    private final IntegrationVesselService integrationVesselService;
+
+    public GisService(@Qualifier("queryDataSource") DataSource queryDataSource,
+                      IntegrationVesselService integrationVesselService) {
+        this.queryDataSource = queryDataSource;
+        this.integrationVesselService = integrationVesselService;
+    }
+    
+    public List<GisBoundaryResponse> getHaeguBoundaries() {
+        JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+        
+        String sql = """
+            SELECT haegu_no, center_lat, center_lon,
+                   public.ST_AsGeoJSON(geom) as geom_json
+            FROM signal.t_haegu_definitions
+            ORDER BY haegu_no
+        """;
+        
+        return jdbcTemplate.query(sql, (rs, rowNum) -> 
+            GisBoundaryResponse.builder()
+                .haeguNo(rs.getInt("haegu_no"))
+                .centerLat(rs.getDouble("center_lat"))
+                .centerLon(rs.getDouble("center_lon"))
+                .geomJson(rs.getString("geom_json"))
+                .build()
+        );
+    }
+    
+    public Map<Integer, VesselStatsResponse> getHaeguVesselStats(int minutes) {
+        JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+        
+        String sql = """
+            SELECT haegu_no,
+                   COUNT(DISTINCT CONCAT(sig_src_cd, '_', target_id)) as vessel_count,
+                   COALESCE(SUM(distance_nm), 0) as total_distance,
+                   COALESCE(AVG(avg_speed), 0) as avg_speed,
+                   COUNT(*) as active_tracks
+            FROM signal.t_grid_vessel_tracks
+            WHERE time_bucket >= NOW() - INTERVAL '%d minutes'
+            GROUP BY haegu_no
+        """.formatted(minutes);
+        
+        Map<Integer, VesselStatsResponse> result = new HashMap<>();
+        
+        jdbcTemplate.query(sql, rs -> {
+            result.put(rs.getInt("haegu_no"), 
+                VesselStatsResponse.builder()
+                    .vesselCount(rs.getInt("vessel_count"))
+                    .totalDistance(rs.getBigDecimal("total_distance"))
+                    .avgSpeed(rs.getBigDecimal("avg_speed"))
+                    .activeTracks(rs.getInt("active_tracks"))
+                    .build()
+            );
+        });
+        
+        return result;
+    }
+    
+    public List<GisBoundaryResponse> getAreaBoundaries() {
+        JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+        
+        String sql = """
+            SELECT area_id, area_name,
+                   public.ST_Y(public.ST_Centroid(area_geom)) as center_lat,
+                   public.ST_X(public.ST_Centroid(area_geom)) as center_lon,
+                   public.ST_AsGeoJSON(area_geom) as geom_json
+            FROM signal.t_areas
+            ORDER BY area_id
+        """;
+        
+        return jdbcTemplate.query(sql, (rs, rowNum) -> 
+            GisBoundaryResponse.builder()
+                .areaId(rs.getString("area_id"))
+                .areaName(rs.getString("area_name"))
+                .centerLat(rs.getDouble("center_lat"))
+                .centerLon(rs.getDouble("center_lon"))
+                .geomJson(rs.getString("geom_json"))
+                .build()
+        );
+    }
+    
+    public Map<String, VesselStatsResponse> getAreaVesselStats(int minutes) {
+        JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+        
+        String sql = """
+            SELECT area_id,
+                   COUNT(DISTINCT CONCAT(sig_src_cd, '_', target_id)) as vessel_count,
+                   COALESCE(SUM(distance_nm), 0) as total_distance,
+                   COALESCE(AVG(avg_speed), 0) as avg_speed,
+                   COUNT(*) as active_tracks
+            FROM signal.t_area_vessel_tracks
+            WHERE time_bucket >= NOW() - INTERVAL '%d minutes'
+            GROUP BY area_id
+        """.formatted(minutes);
+        
+        Map<String, VesselStatsResponse> result = new HashMap<>();
+        
+        jdbcTemplate.query(sql, rs -> {
+            result.put(rs.getString("area_id"), 
+                VesselStatsResponse.builder()
+                    .vesselCount(rs.getInt("vessel_count"))
+                    .totalDistance(rs.getBigDecimal("total_distance"))
+                    .avgSpeed(rs.getBigDecimal("avg_speed"))
+                    .activeTracks(rs.getInt("active_tracks"))
+                    .build()
+            );
+        });
+        
+        return result;
+    }
+    
+    public List<TrackResponse> getHaeguTracks(Integer haeguNo, int minutes) {
+        JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+        List<TrackResponse> allTracks = new ArrayList<>();
+        
+        LocalDateTime now = LocalDateTime.now();
+        LocalDateTime startTime = now.minusMinutes(minutes);
+        
+        // 1시간 이상인 경우 여러 테이블 조합
+        if (minutes > 60) {
+            // 현재 시간의 정시
+            LocalDateTime currentHour = now.withMinute(0).withSecond(0).withNano(0);
+            
+            if (minutes <= 1440) { // 24시간 이하
+                // 1. hourly 테이블에서 과거 데이터 조회
+                String hourlySql = """
+                    SELECT DISTINCT t.sig_src_cd, t.target_id, t.time_bucket,
+                           public.ST_AsText(t.track_geom) as track_geom,
+                           t.distance_nm, t.avg_speed, t.max_speed, t.point_count
+                    FROM signal.t_vessel_tracks_hourly t
+                    WHERE EXISTS (
+                        SELECT 1 FROM signal.t_grid_vessel_tracks g
+                        WHERE g.sig_src_cd = t.sig_src_cd 
+                            AND g.target_id = t.target_id 
+                            AND g.haegu_no = %d
+                            AND g.time_bucket >= '%s'
+                    )
+                    AND t.time_bucket >= '%s'
+                    AND t.time_bucket < '%s'
+                    ORDER BY t.sig_src_cd, t.target_id, t.time_bucket
+                """.formatted(haeguNo, startTime, startTime, currentHour);
+                
+                allTracks.addAll(jdbcTemplate.query(hourlySql, this::mapTrackResponse));
+            } else {
+                // daily 테이블 사용 (추후 구현)
+            }
+            
+            // 2. 5min 테이블에서 최근 데이터 조회 (아직 집계되지 않은 부분)
+            String recentSql = """
+                SELECT DISTINCT t.sig_src_cd, t.target_id, t.time_bucket,
+                       public.ST_AsText(t.track_geom) as track_geom,
+                       t.distance_nm, t.avg_speed, t.max_speed, t.point_count
+                FROM signal.t_vessel_tracks_5min t
+                WHERE EXISTS (
+                    SELECT 1 FROM signal.t_grid_vessel_tracks g
+                    WHERE g.sig_src_cd = t.sig_src_cd 
+                        AND g.target_id = t.target_id 
+                        AND g.haegu_no = %d
+                        AND g.time_bucket >= '%s'
+                )
+                AND t.time_bucket >= '%s'
+                ORDER BY t.sig_src_cd, t.target_id, t.time_bucket
+            """.formatted(haeguNo, currentHour, currentHour);
+            
+            allTracks.addAll(jdbcTemplate.query(recentSql, this::mapTrackResponse));
+            
+        } else {
+            // 1시간 이하는 5분 테이블만 사용
+            String sql = """
+                SELECT DISTINCT t.sig_src_cd, t.target_id, t.time_bucket,
+                       public.ST_AsText(t.track_geom) as track_geom,
+                       t.distance_nm, t.avg_speed, t.max_speed, t.point_count
+                FROM signal.t_vessel_tracks_5min t
+                WHERE EXISTS (
+                    SELECT 1 FROM signal.t_grid_vessel_tracks g
+                    WHERE g.sig_src_cd = t.sig_src_cd 
+                        AND g.target_id = t.target_id 
+                        AND g.haegu_no = %d
+                        AND g.time_bucket >= NOW() - INTERVAL '%d minutes'
+                )
+                AND t.time_bucket >= NOW() - INTERVAL '%d minutes'
+                ORDER BY t.sig_src_cd, t.target_id, t.time_bucket
+            """.formatted(haeguNo, minutes, minutes);
+            
+            allTracks = jdbcTemplate.query(sql, this::mapTrackResponse);
+        }
+        
+        log.debug("Fetched {} tracks for haegu {} in last {} minutes", 
+                  allTracks.size(), haeguNo, minutes);
+        
+        return allTracks;
+    }
+    
+    private TrackResponse mapTrackResponse(ResultSet rs, int rowNum) throws SQLException {
+        return TrackResponse.builder()
+                .sigSrcCd(rs.getString("sig_src_cd"))
+                .targetId(rs.getString("target_id"))
+                .timeBucket(rs.getObject("time_bucket", LocalDateTime.class))
+                .trackGeom(rs.getString("track_geom"))
+                .distanceNm(rs.getBigDecimal("distance_nm"))
+                .avgSpeed(rs.getBigDecimal("avg_speed"))
+                .maxSpeed(rs.getBigDecimal("max_speed"))
+                .pointCount(rs.getInt("point_count"))
+                .build();
+    }
+    
+    public List<TrackResponse> getAreaTracks(String areaId, int minutes) {
+        JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+        List<TrackResponse> allTracks = new ArrayList<>();
+        
+        LocalDateTime now = LocalDateTime.now();
+        LocalDateTime startTime = now.minusMinutes(minutes);
+        
+        // 1시간 이상인 경우 여러 테이블 조합
+        if (minutes > 60) {
+            // 현재 시간의 정시
+            LocalDateTime currentHour = now.withMinute(0).withSecond(0).withNano(0);
+            
+            if (minutes <= 1440) { // 24시간 이하
+                // 1. hourly 테이블에서 과거 데이터 조회
+                String hourlySql = """
+                    SELECT DISTINCT t.sig_src_cd, t.target_id, t.time_bucket,
+                           public.ST_AsText(t.track_geom) as track_geom,
+                           t.distance_nm, t.avg_speed, t.max_speed, t.point_count
+                    FROM signal.t_vessel_tracks_hourly t
+                    WHERE EXISTS (
+                        SELECT 1 FROM signal.t_area_vessel_tracks a
+                        WHERE a.sig_src_cd = t.sig_src_cd 
+                            AND a.target_id = t.target_id 
+                            AND a.area_id = '%s'
+                            AND a.time_bucket >= '%s'
+                    )
+                    AND t.time_bucket >= '%s'
+                    AND t.time_bucket < '%s'
+                    ORDER BY t.sig_src_cd, t.target_id, t.time_bucket
+                """.formatted(areaId, startTime, startTime, currentHour);
+                
+                allTracks.addAll(jdbcTemplate.query(hourlySql, this::mapTrackResponse));
+            } else {
+                // daily 테이블 사용 (추후 구현)
+            }
+            
+            // 2. 5min 테이블에서 최근 데이터 조회 (아직 집계되지 않은 부분)
+            String recentSql = """
+                SELECT DISTINCT t.sig_src_cd, t.target_id, t.time_bucket,
+                       public.ST_AsText(t.track_geom) as track_geom,
+                       t.distance_nm, t.avg_speed, t.max_speed, t.point_count
+                FROM signal.t_vessel_tracks_5min t
+                WHERE EXISTS (
+                    SELECT 1 FROM signal.t_area_vessel_tracks a
+                    WHERE a.sig_src_cd = t.sig_src_cd 
+                        AND a.target_id = t.target_id 
+                        AND a.area_id = '%s'
+                        AND a.time_bucket >= '%s'
+                )
+                AND t.time_bucket >= '%s'
+                ORDER BY t.sig_src_cd, t.target_id, t.time_bucket
+            """.formatted(areaId, currentHour, currentHour);
+            
+            allTracks.addAll(jdbcTemplate.query(recentSql, this::mapTrackResponse));
+            
+        } else {
+            // 1시간 이하는 5분 테이블만 사용
+            String sql = """
+                SELECT DISTINCT t.sig_src_cd, t.target_id, t.time_bucket,
+                       public.ST_AsText(t.track_geom) as track_geom,
+                       t.distance_nm, t.avg_speed, t.max_speed, t.point_count
+                FROM signal.t_vessel_tracks_5min t
+                WHERE EXISTS (
+                    SELECT 1 FROM signal.t_area_vessel_tracks a
+                    WHERE a.sig_src_cd = t.sig_src_cd 
+                        AND a.target_id = t.target_id 
+                        AND a.area_id = '%s'
+                        AND a.time_bucket >= NOW() - INTERVAL '%d minutes'
+                )
+                AND t.time_bucket >= NOW() - INTERVAL '%d minutes'
+                ORDER BY t.sig_src_cd, t.target_id, t.time_bucket
+            """.formatted(areaId, minutes, minutes);
+            
+            allTracks = jdbcTemplate.query(sql, this::mapTrackResponse);
+        }
+        
+        log.debug("Fetched {} tracks for area {} in last {} minutes", 
+                  allTracks.size(), areaId, minutes);
+        
+        return allTracks;
+    }
+    
+    public List<CompactVesselTrack> getVesselTracks(VesselTracksRequest request) {
+        JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+        List<CompactVesselTrack> results = new ArrayList<>();
+        
+        LocalDateTime startTime = request.getStartTime();
+        LocalDateTime endTime = request.getEndTime();
+        
+        for (VesselTracksRequest.VesselIdentifier vessel : request.getVessels()) {
+            // String vesselId = vessel.getSigSrcCd() + "_" + vessel.getTargetId();
+            
+            // Determine which tables to query based on time range
+            Duration duration = Duration.between(startTime, endTime);
+            long hours = duration.toHours();
+            
+            List<TrackResponse> tracks = new ArrayList<>();
+            LocalDateTime now = LocalDateTime.now();
+            LocalDateTime currentHour = now.withMinute(0).withSecond(0).withNano(0);
+            LocalDateTime currentDay = now.withHour(0).withMinute(0).withSecond(0).withNano(0);
+            
+            // Query daily table first (oldest data)
+            if (hours > 24 && startTime.isBefore(currentDay)) {
+                // Query daily table - time_bucket is DATE type
+                String sqlDaily = """
+                    SELECT sig_src_cd, target_id, 
+                           time_bucket::timestamp as time_bucket,
+                           public.ST_AsText(track_geom) as track_geom,
+                           distance_nm, avg_speed, max_speed, point_count
+                    FROM signal.t_vessel_tracks_daily
+                    WHERE sig_src_cd = ? AND target_id = ?
+                    AND time_bucket BETWEEN ?::date AND ?::date
+                    ORDER BY time_bucket
+                """;
+                
+                LocalDateTime queryDailyEnd = endTime.isBefore(currentDay) ? endTime : currentDay.minusDays(1);
+                tracks.addAll(jdbcTemplate.query(sqlDaily, this::mapTrackResponse,
+                    vessel.getSigSrcCd(), vessel.getTargetId(),
+                    Timestamp.valueOf(startTime), Timestamp.valueOf(queryDailyEnd)));
+            }
+            
+            // Query hourly table (middle-aged data)
+            if (hours > 1 && startTime.isBefore(currentHour)) {
+                // Query hourly table
+                String sqlHourly = """
+                    SELECT sig_src_cd, target_id, time_bucket,
+                           public.ST_AsText(track_geom) as track_geom,
+                           distance_nm, avg_speed, max_speed, point_count
+                    FROM signal.t_vessel_tracks_hourly
+                    WHERE sig_src_cd = ? AND target_id = ?
+                    AND time_bucket BETWEEN ? AND ?
+                    ORDER BY time_bucket
+                """;
+                
+                // Hourly data should start from currentDay if daily data was queried
+                LocalDateTime queryHourlyStart = hours > 24 ? currentDay : startTime;
+                LocalDateTime queryHourlyEnd = endTime.isBefore(currentHour) ? endTime : currentHour.minusHours(1);
+                if (queryHourlyEnd.isAfter(queryHourlyStart)) {
+                    tracks.addAll(jdbcTemplate.query(sqlHourly, this::mapTrackResponse,
+                        vessel.getSigSrcCd(), vessel.getTargetId(),
+                        Timestamp.valueOf(queryHourlyStart), Timestamp.valueOf(queryHourlyEnd)));
+                }
+            }
+            
+            // Query 5min table last (newest data)
+            if (hours <= 1 || endTime.isAfter(currentHour)) {
+                // Query 5min table for recent data
+                String sql5min = """
+                    SELECT sig_src_cd, target_id, time_bucket,
+                           public.ST_AsText(track_geom) as track_geom,
+                           distance_nm, avg_speed, max_speed, point_count
+                    FROM signal.t_vessel_tracks_5min
+                    WHERE sig_src_cd = ? AND target_id = ?
+                    AND time_bucket BETWEEN ? AND ?
+                    ORDER BY time_bucket
+                """;
+                
+                LocalDateTime query5minStart = startTime.isAfter(currentHour) ? startTime : currentHour;
+                if (endTime.isAfter(currentHour)) {
+                    tracks.addAll(jdbcTemplate.query(sql5min, this::mapTrackResponse,
+                        vessel.getSigSrcCd(), vessel.getTargetId(),
+                        Timestamp.valueOf(query5minStart), Timestamp.valueOf(endTime)));
+                }
+            }
+            
+            // Sort all tracks by time_bucket to ensure proper ordering
+            tracks.sort((t1, t2) -> t1.getTimeBucket().compareTo(t2.getTimeBucket()));
+            
+            if (!tracks.isEmpty()) {
+                CompactVesselTrack compactTrack = buildCompactVesselTrack(vessel, tracks);
+                results.add(compactTrack);
+            }
+        }
+
+        // 통합선박 필터링 적용 (isIntegration = "1" 이고 기능이 활성화된 경우)
+        if ("1".equals(request.getIsIntegration()) && integrationVesselService.isEnabled()) {
+            results = filterByIntegration(results);
+        }
+
+        return results;
+    }
+
+    /**
+     * 통합선박 기준 필터링 (REST API용)
+     */
+    private List<CompactVesselTrack> filterByIntegration(List<CompactVesselTrack> tracks) {
+        if (tracks == null || tracks.isEmpty()) {
+            return tracks;
+        }
+
+        // 1. 모든 트랙의 통합선박 정보 조회 (캐시에서)
+        Map<String, IntegrationVessel> vesselIntegrations = new HashMap<>();
+        for (CompactVesselTrack track : tracks) {
+            String key = track.getSigSrcCd() + "_" + track.getTargetId();
+            if (!vesselIntegrations.containsKey(key)) {
+                IntegrationVessel integration = integrationVesselService.findByVessel(
+                        track.getSigSrcCd(), track.getTargetId()
+                );
+                vesselIntegrations.put(key, integration);
+            }
+        }
+
+        // 2. 통합선박별 그룹핑
+        Map<Long, List<CompactVesselTrack>> groupedByIntegration = new HashMap<>();
+        Map<Long, IntegrationVessel> integrationMap = new HashMap<>();
+
+        long tempSeq = -1;
+        for (CompactVesselTrack track : tracks) {
+            String key = track.getSigSrcCd() + "_" + track.getTargetId();
+            IntegrationVessel integration = vesselIntegrations.get(key);
+
+            Long seq;
+            if (integration != null) {
+                seq = integration.getIntgrSeq();
+                integrationMap.putIfAbsent(seq, integration);
+            } else {
+                seq = tempSeq--;
+            }
+
+            groupedByIntegration.computeIfAbsent(seq, k -> new ArrayList<>()).add(track);
+        }
+
+        // 3. 각 그룹에서 최고 우선순위 신호만 선택
+        List<CompactVesselTrack> result = new ArrayList<>();
+
+        for (Map.Entry<Long, List<CompactVesselTrack>> entry : groupedByIntegration.entrySet()) {
+            Long seq = entry.getKey();
+            List<CompactVesselTrack> groupTracks = entry.getValue();
+
+            if (seq < 0) {
+                // 통합정보 없는 단독 선박
+                CompactVesselTrack firstTrack = groupTracks.get(0);
+                String soloIntegrationId = IntegrationSignalConstants.generateSoloIntegrationId(
+                        firstTrack.getSigSrcCd(),
+                        firstTrack.getTargetId()
+                );
+                groupTracks.forEach(t -> t.setIntegrationTargetId(soloIntegrationId));
+                result.addAll(groupTracks);
+            } else {
+                // 통합선박 → 존재하는 신호 중 최고 우선순위 선택
+                IntegrationVessel integration = integrationMap.get(seq);
+
+                java.util.Set<String> existingSigSrcCds = groupTracks.stream()
+                        .map(CompactVesselTrack::getSigSrcCd)
+                        .collect(java.util.stream.Collectors.toSet());
+
+                String selectedSigSrcCd = integrationVesselService.selectHighestPriorityFromExisting(existingSigSrcCds);
+
+                List<CompactVesselTrack> selectedTracks = groupTracks.stream()
+                        .filter(t -> t.getSigSrcCd().equals(selectedSigSrcCd))
+                        .collect(java.util.stream.Collectors.toList());
+
+                String integrationId = integration.generateIntegrationId();
+                selectedTracks.forEach(t -> t.setIntegrationTargetId(integrationId));
+
+                result.addAll(selectedTracks);
+            }
+        }
+
+        log.info("[INTEGRATION_FILTER] REST API - Filtered {} tracks to {} tracks", tracks.size(), result.size());
+        return result;
+    }
+    
+    private CompactVesselTrack buildCompactVesselTrack(
+            VesselTracksRequest.VesselIdentifier vessel,
+            List<TrackResponse> tracks) {
+        
+        String vesselId = vessel.getSigSrcCd() + "_" + vessel.getTargetId();
+        List<double[]> geometry = new ArrayList<>();
+        List<String> timestamps = new ArrayList<>();
+        List<Double> speeds = new ArrayList<>();
+        double totalDistance = 0;
+        double maxSpeed = 0;
+        int totalPoints = 0;
+        
+        // WKTReader reader = new WKTReader();
+        
+        for (TrackResponse track : tracks) {
+            if (track.getTrackGeom() != null && !track.getTrackGeom().isEmpty()) {
+                try {
+                    // Parse LineStringM
+                    String wkt = track.getTrackGeom();
+                    if (wkt.startsWith("LINESTRING M")) {
+                        // Extract coordinate data from WKT
+                        String coordsPart = wkt.substring("LINESTRING M(".length() + 1, wkt.length() - 1);
+                        String[] points = coordsPart.split(",");
+                        
+                        for (String point : points) {
+                            String[] parts = point.trim().split("\\s+");
+                            if (parts.length >= 3) {
+                                double lon = Double.parseDouble(parts[0]);
+                                double lat = Double.parseDouble(parts[1]);
+                                String timestamp = parts[2]; // Unix timestamp as string
+                                
+                                geometry.add(new double[]{lon, lat});
+                                timestamps.add(timestamp);
+                                
+                                // Add SOG value if available (could be from track data)
+                                if (track.getAvgSpeed() != null) {
+                                    speeds.add(track.getAvgSpeed().doubleValue());
+                                } else {
+                                    speeds.add(0.0);
+                                }
+                            }
+                        }
+                    }
+                } catch (Exception e) {
+                    log.warn("Failed to parse track geometry: {}", e.getMessage());
+                }
+            }
+            
+            if (track.getDistanceNm() != null) {
+                totalDistance += track.getDistanceNm().doubleValue();
+            }
+            if (track.getMaxSpeed() != null && track.getMaxSpeed().doubleValue() > maxSpeed) {
+                maxSpeed = track.getMaxSpeed().doubleValue();
+            }
+            if (track.getPointCount() != null) {
+                totalPoints += track.getPointCount();
+            }
+        }
+        
+        // Calculate average speed
+        double avgSpeed = speeds.stream()
+            .filter(s -> s > 0)
+            .mapToDouble(Double::doubleValue)
+            .average()
+            .orElse(0.0);
+        
+        // Get vessel info
+        Map<String, String> vesselInfo = getVesselInfo(vessel.getSigSrcCd(), vessel.getTargetId());
+        
+        return CompactVesselTrack.builder()
+            .vesselId(vesselId)
+            .sigSrcCd(vessel.getSigSrcCd())
+            .targetId(vessel.getTargetId())
+            .geometry(geometry)
+            .timestamps(timestamps)
+            .speeds(speeds)
+            .totalDistance(totalDistance)
+            .avgSpeed(avgSpeed)
+            .maxSpeed(maxSpeed)
+            .pointCount(geometry.size())
+            .shipName(vesselInfo.get("ship_name"))
+            .shipType(vesselInfo.get("ship_type"))
+            .shipKindCode(null) // Not available in current schema
+            .build();
+    }
+    
+    private Map<String, String> getVesselInfo(String sigSrcCd, String targetId) {
+        JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+        try {
+            String sql = """
+                SELECT ship_nm as ship_name, ship_ty as ship_type
+                FROM signal.t_vessel_latest_position
+                WHERE sig_src_cd = ? AND target_id = ?
+                LIMIT 1
+            """;
+            
+            return jdbcTemplate.queryForMap(sql, sigSrcCd, targetId)
+                .entrySet().stream()
+                .collect(Collectors.toMap(
+                    Map.Entry::getKey,
+                    e -> e.getValue() != null ? e.getValue().toString() : ""
+                ));
+        } catch (Exception e) {
+            return Map.of("ship_name", "", "ship_type", "");
+        }
+    }
+}

src/main/java/gc/mda/signal_batch/domain/gis/service/TileAggregationService.java

@@ -0,0 +1,444 @@
+package gc.mda.signal_batch.domain.gis.service;
+
+import com.fasterxml.jackson.core.type.TypeReference;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import gc.mda.signal_batch.domain.gis.dto.TileAggregationRequest;
+import gc.mda.signal_batch.domain.gis.dto.TileAggregationResponse;
+import gc.mda.signal_batch.domain.gis.dto.TileAggregationResponse.*;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.stereotype.Service;
+
+import java.time.LocalDateTime;
+import java.util.*;
+
+
+@Slf4j
+@Service
+@RequiredArgsConstructor
+public class TileAggregationService {
+
+    private final JdbcTemplate queryJdbcTemplate;
+    private final ObjectMapper objectMapper;
+
+    public TileAggregationResponse getTileAggregation(TileAggregationRequest request) {
+        log.info("Processing tile aggregation request: {}", request);
+        
+        RequestInfo requestInfo = RequestInfo.builder()
+                .fromDate(request.getFromDate())
+                .toDate(request.getToDate())
+                .tileId(request.getTileId())
+                .build();
+
+        List<TileDetail> tiles;
+        
+        if (request.getTileId() != null) {
+            // 특정 타일 조회
+            tiles = getSpecificTileAggregation(request);
+            requestInfo.setTileLevel(determineTileLevel(request.getTileId()));
+        } else {
+            // 전체 대해구 조회
+            tiles = getAllHaeguAggregation(request);
+            requestInfo.setTileLevel(0);
+        }
+
+        // 요약 정보 계산
+        AggregationSummary summary = calculateSummary(tiles);
+
+        return TileAggregationResponse.builder()
+                .request(requestInfo)
+                .summary(summary)
+                .tiles(tiles)
+                .responseTime(LocalDateTime.now())
+                .build();
+    }
+
+    private List<TileDetail> getSpecificTileAggregation(TileAggregationRequest request) {
+        String tileId = request.getTileId();
+        int tileLevel = determineTileLevel(tileId);
+        
+        List<TileDetail> tiles = new ArrayList<>();
+        
+        if (tileLevel == 0) {
+            // 대해구인 경우: 대해구 + 소해구 정보 모두 조회
+            TileDetail haeguTile = getHaeguTileDetail(request, tileId);
+            
+            // 소해구 정보 조회
+            List<TileDetail> subTiles = getSubTiles(request, tileId);
+            haeguTile.setSubTiles(subTiles);
+            
+            tiles.add(haeguTile);
+        } else {
+            // 소해구인 경우: 해당 소해구만 조회
+            TileDetail sohaeguTile = getSohaeguTileDetail(request, tileId);
+            tiles.add(sohaeguTile);
+        }
+        
+        return tiles;
+    }
+
+    private TileDetail getHaeguTileDetail(TileAggregationRequest request, String tileId) {
+        String sql = """
+            WITH aggregated_data AS (
+                SELECT 
+                    tile_id,
+                    tile_level,
+                    jsonb_object_agg(
+                        vessel_key,
+                        vessel_data ORDER BY (vessel_data->>'lastSeen')::timestamp DESC
+                    ) as unique_vessels,
+                    COUNT(DISTINCT vessel_key) as vessel_count,
+                    AVG(vessel_density) as avg_density
+                FROM (
+                    SELECT 
+                        tile_id,
+                        tile_level,
+                        vessel_density,
+                        jsonb_each_text(unique_vessels) as vessel_entry
+                    FROM signal.t_tile_summary
+                    WHERE tile_id = ?
+                      AND tile_level = 0
+                      AND time_bucket BETWEEN ? AND ?
+                ) t
+                CROSS JOIN LATERAL (
+                    SELECT 
+                        vessel_entry.key as vessel_key,
+                        vessel_entry.value::jsonb as vessel_data
+                ) v
+                GROUP BY tile_id, tile_level
+            ),
+            tile_info AS (
+                SELECT 
+                    g.tile_id,
+                    g.haegu_no,
+                    g.min_lat, g.min_lon, g.max_lat, g.max_lon,
+                    public.ST_X(g.center_point) as center_lon,
+                    public.ST_Y(g.center_point) as center_lat,
+                    public.ST_Area(g.tile_geom::geography) / 1000000 as area_km2
+                FROM signal.t_grid_tiles g
+                WHERE g.tile_id = ?
+                  AND g.tile_level = 0
+            )
+            SELECT 
+                a.tile_id,
+                a.tile_level,
+                t.haegu_no,
+                a.vessel_count,
+                a.avg_density,
+                a.unique_vessels,
+                t.min_lat, t.min_lon, t.max_lat, t.max_lon,
+                t.center_lat, t.center_lon, t.area_km2
+            FROM aggregated_data a
+            JOIN tile_info t ON a.tile_id = t.tile_id
+            """;
+
+        return queryJdbcTemplate.queryForObject(sql, (rs, rowNum) -> {
+            TileDetail detail = TileDetail.builder()
+                    .tileId(rs.getString("tile_id"))
+                    .tileLevel(rs.getInt("tile_level"))
+                    .haeguNo(rs.getInt("haegu_no"))
+                    .vesselCount(rs.getInt("vessel_count"))
+                    .avgDensity(rs.getDouble("avg_density"))
+                    .build();
+
+            // unique_vessels JSON 파싱
+            String vesselsJson = rs.getString("unique_vessels");
+            if (vesselsJson != null) {
+                try {
+                    Map<String, Map<String, Object>> vesselMap = objectMapper.readValue(
+                            vesselsJson, new TypeReference<Map<String, Map<String, Object>>>() {});
+                    
+                    Map<String, VesselInfo> uniqueVessels = new HashMap<>();
+                    for (Map.Entry<String, Map<String, Object>> entry : vesselMap.entrySet()) {
+                        Map<String, Object> vesselData = entry.getValue();
+                        VesselInfo vesselInfo = VesselInfo.builder()
+                                .lat((Double) vesselData.get("lat"))
+                                .lon((Double) vesselData.get("lon"))
+                                .sog((Double) vesselData.get("sog"))
+                                .lastSeen(LocalDateTime.parse((String) vesselData.get("lastSeen")))
+                                .build();
+                        uniqueVessels.put(entry.getKey(), vesselInfo);
+                    }
+                    detail.setUniqueVessels(uniqueVessels);
+                } catch (Exception e) {
+                    log.error("Failed to parse unique_vessels JSON", e);
+                }
+            }
+
+            // 경계 정보
+            TileBoundary boundary = TileBoundary.builder()
+                    .minLat(rs.getDouble("min_lat"))
+                    .minLon(rs.getDouble("min_lon"))
+                    .maxLat(rs.getDouble("max_lat"))
+                    .maxLon(rs.getDouble("max_lon"))
+                    .centerLat(rs.getDouble("center_lat"))
+                    .centerLon(rs.getDouble("center_lon"))
+                    .area(rs.getDouble("area_km2"))
+                    .build();
+            detail.setBoundary(boundary);
+
+            return detail;
+        }, tileId, request.getFromDate(), request.getToDate(), tileId);
+    }
+
+    private TileDetail getSohaeguTileDetail(TileAggregationRequest request, String tileId) {
+        // 소해구 조회는 getHaeguTileDetail과 유사하지만 tile_level = 1로 조회
+        String sql = """
+            WITH aggregated_data AS (
+                SELECT 
+                    tile_id,
+                    tile_level,
+                    jsonb_object_agg(
+                        vessel_key,
+                        vessel_data ORDER BY (vessel_data->>'lastSeen')::timestamp DESC
+                    ) as unique_vessels,
+                    COUNT(DISTINCT vessel_key) as vessel_count,
+                    AVG(vessel_density) as avg_density
+                FROM (
+                    SELECT 
+                        tile_id,
+                        tile_level,
+                        vessel_density,
+                        jsonb_each_text(unique_vessels) as vessel_entry
+                    FROM signal.t_tile_summary
+                    WHERE tile_id = ?
+                      AND tile_level = 1
+                      AND time_bucket BETWEEN ? AND ?
+                ) t
+                CROSS JOIN LATERAL (
+                    SELECT 
+                        vessel_entry.key as vessel_key,
+                        vessel_entry.value::jsonb as vessel_data
+                ) v
+                GROUP BY tile_id, tile_level
+            ),
+            tile_info AS (
+                SELECT 
+                    g.tile_id,
+                    g.haegu_no,
+                    g.sohaegu_no,
+                    g.min_lat, g.min_lon, g.max_lat, g.max_lon,
+                    public.ST_X(g.center_point) as center_lon,
+                    public.ST_Y(g.center_point) as center_lat,
+                    public.ST_Area(g.tile_geom::geography) / 1000000 as area_km2
+                FROM signal.t_grid_tiles g
+                WHERE g.tile_id = ?
+                  AND g.tile_level = 1
+            )
+            SELECT 
+                a.tile_id,
+                a.tile_level,
+                t.haegu_no,
+                t.sohaegu_no,
+                a.vessel_count,
+                a.avg_density,
+                a.unique_vessels,
+                t.min_lat, t.min_lon, t.max_lat, t.max_lon,
+                t.center_lat, t.center_lon, t.area_km2
+            FROM aggregated_data a
+            JOIN tile_info t ON a.tile_id = t.tile_id
+            """;
+            
+        // 나머지 구현은 getHaeguTileDetail과 동일
+        return queryJdbcTemplate.queryForObject(sql, (rs, rowNum) -> {
+            // 파싱 로직 동일...
+            TileDetail detail = TileDetail.builder()
+                    .tileId(rs.getString("tile_id"))
+                    .tileLevel(rs.getInt("tile_level"))
+                    .haeguNo(rs.getInt("haegu_no"))
+                    .sohaeguNo(rs.getInt("sohaegu_no"))
+                    .vesselCount(rs.getInt("vessel_count"))
+                    .avgDensity(rs.getDouble("avg_density"))
+                    .build();
+            
+            // unique_vessels, boundary 파싱은 동일
+            return detail;
+        }, tileId, request.getFromDate(), request.getToDate(), tileId);
+    }
+
+    private List<TileDetail> getSubTiles(TileAggregationRequest request, String haeguTileId) {
+        String haeguNo = haeguTileId.substring(1); // H238 -> 238
+        
+        String sql = """
+            WITH aggregated_data AS (
+                SELECT 
+                    tile_id,
+                    tile_level,
+                    jsonb_object_agg(
+                        vessel_key,
+                        vessel_data ORDER BY (vessel_data->>'lastSeen')::timestamp DESC
+                    ) as unique_vessels,
+                    COUNT(DISTINCT vessel_key) as vessel_count,
+                    AVG(vessel_density) as avg_density
+                FROM (
+                    SELECT 
+                        tile_id,
+                        tile_level,
+                        vessel_density,
+                        jsonb_each_text(unique_vessels) as vessel_entry
+                    FROM signal.t_tile_summary
+                    WHERE tile_id LIKE ?
+                      AND tile_level = 1
+                      AND time_bucket BETWEEN ? AND ?
+                ) t
+                CROSS JOIN LATERAL (
+                    SELECT 
+                        vessel_entry.key as vessel_key,
+                        vessel_entry.value::jsonb as vessel_data
+                ) v
+                GROUP BY tile_id, tile_level
+            )
+            SELECT 
+                a.tile_id,
+                a.tile_level,
+                g.haegu_no,
+                g.sohaegu_no,
+                a.vessel_count,
+                a.avg_density,
+                a.unique_vessels
+            FROM aggregated_data a
+            JOIN signal.t_grid_tiles g ON a.tile_id = g.tile_id AND a.tile_level = g.tile_level
+            ORDER BY g.sohaegu_no
+            """;
+            
+        String pattern = haeguTileId + "_S%";
+        
+        return queryJdbcTemplate.query(sql, (rs, rowNum) -> {
+            // 각 소해구 타일 정보 파싱
+            TileDetail detail = TileDetail.builder()
+                    .tileId(rs.getString("tile_id"))
+                    .tileLevel(rs.getInt("tile_level"))
+                    .haeguNo(rs.getInt("haegu_no"))
+                    .sohaeguNo(rs.getInt("sohaegu_no"))
+                    .vesselCount(rs.getInt("vessel_count"))
+                    .avgDensity(rs.getDouble("avg_density"))
+                    .build();
+            
+            // unique_vessels 파싱은 필요시 추가
+            return detail;
+        }, pattern, request.getFromDate(), request.getToDate());
+    }
+
+    private List<TileDetail> getAllHaeguAggregation(TileAggregationRequest request) {
+        // 전체 대해구 집계 조회
+        String sql = """
+            WITH aggregated_data AS (
+                SELECT 
+                    SUBSTRING(tile_id FROM 1 FOR POSITION('_' IN tile_id || '_') - 1) as haegu_tile_id,
+                    jsonb_object_agg(
+                        vessel_key,
+                        vessel_data ORDER BY (vessel_data->>'lastSeen')::timestamp DESC
+                    ) as unique_vessels,
+                    COUNT(DISTINCT vessel_key) as vessel_count,
+                    AVG(vessel_density) as avg_density
+                FROM (
+                    SELECT 
+                        tile_id,
+                        vessel_density,
+                        jsonb_each_text(unique_vessels) as vessel_entry
+                    FROM signal.t_tile_summary
+                    WHERE tile_level = 0
+                      AND time_bucket BETWEEN ? AND ?
+                ) t
+                CROSS JOIN LATERAL (
+                    SELECT 
+                        vessel_entry.key as vessel_key,
+                        vessel_entry.value::jsonb as vessel_data
+                ) v
+                GROUP BY haegu_tile_id
+            )
+            SELECT 
+                a.haegu_tile_id as tile_id,
+                g.haegu_no,
+                a.vessel_count,
+                a.avg_density,
+                a.unique_vessels
+            FROM aggregated_data a
+            JOIN signal.t_grid_tiles g ON a.haegu_tile_id = g.tile_id AND g.tile_level = 0
+            WHERE a.vessel_count > 0
+            ORDER BY a.vessel_count DESC
+            """;
+            
+        return queryJdbcTemplate.query(sql, (rs, rowNum) -> {
+            TileDetail detail = TileDetail.builder()
+                    .tileId(rs.getString("tile_id"))
+                    .tileLevel(0)
+                    .haeguNo(rs.getInt("haegu_no"))
+                    .vesselCount(rs.getInt("vessel_count"))
+                    .avgDensity(rs.getDouble("avg_density"))
+                    .build();
+            
+            // unique_vessels는 요약 정보에서는 생략 가능
+            return detail;
+        }, request.getFromDate(), request.getToDate());
+    }
+
+    private AggregationSummary calculateSummary(List<TileDetail> tiles) {
+        if (tiles.isEmpty()) {
+            return AggregationSummary.builder()
+                    .totalTiles(0)
+                    .totalUniqueVessels(0)
+                    .build();
+        }
+
+        // 전체 고유 선박 수 계산
+        Set<String> uniqueVesselIds = new HashSet<>();
+        int maxVesselCount = 0;
+        String maxVesselTileId = null;
+        double totalDensity = 0.0;
+        
+        for (TileDetail tile : tiles) {
+            if (tile.getUniqueVessels() != null) {
+                uniqueVesselIds.addAll(tile.getUniqueVessels().keySet());
+            }
+            
+            if (tile.getVesselCount() > maxVesselCount) {
+                maxVesselCount = tile.getVesselCount();
+                maxVesselTileId = tile.getTileId();
+            }
+            
+            totalDensity += tile.getAvgDensity() != null ? tile.getAvgDensity() : 0.0;
+            
+            // 하위 타일도 확인
+            if (tile.getSubTiles() != null) {
+                for (TileDetail subTile : tile.getSubTiles()) {
+                    if (subTile.getUniqueVessels() != null) {
+                        uniqueVesselIds.addAll(subTile.getUniqueVessels().keySet());
+                    }
+                }
+            }
+        }
+
+        return AggregationSummary.builder()
+                .totalTiles(tiles.size())
+                .totalUniqueVessels(uniqueVesselIds.size())
+                .avgVesselDensity(tiles.isEmpty() ? 0.0 : totalDensity / tiles.size())
+                .maxVesselTileId(maxVesselTileId)
+                .maxVesselCount(maxVesselCount)
+                .build();
+    }
+
+    private int determineTileLevel(String tileId) {
+        if (tileId == null) return -1;
+        return tileId.contains("_S") ? 1 : 0;
+    }
+
+    public Map<String, Object> getTileInfo(String tileId) {
+        String sql = """
+            SELECT 
+                tile_id,
+                tile_level,
+                haegu_no,
+                sohaegu_no,
+                min_lat, min_lon, max_lat, max_lon,
+                public.ST_X(center_point) as center_lon,
+                public.ST_Y(center_point) as center_lat,
+                public.ST_Area(tile_geom::geography) / 1000000 as area_km2
+            FROM signal.t_grid_tiles
+            WHERE tile_id = ?
+            """;
+            
+        return queryJdbcTemplate.queryForMap(sql, tileId);
+    }
+}

src/main/java/gc/mda/signal_batch/domain/passage/controller/SequentialPassageController.java

@@ -0,0 +1,303 @@
+package gc.mda.signal_batch.domain.passage.controller;
+
+import gc.mda.signal_batch.domain.passage.dto.SequentialPassageRequest;
+import gc.mda.signal_batch.domain.passage.dto.SequentialPassageResponse;
+import gc.mda.signal_batch.domain.passage.service.SequentialAreaTrackingService;
+import io.swagger.v3.oas.annotations.Operation;
+import io.swagger.v3.oas.annotations.Parameter;
+import io.swagger.v3.oas.annotations.tags.Tag;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.format.annotation.DateTimeFormat;
+import org.springframework.http.ResponseEntity;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.validation.annotation.Validated;
+import org.springframework.web.bind.annotation.*;
+
+import jakarta.validation.Valid;
+import javax.sql.DataSource;
+import java.sql.Timestamp;
+import java.time.LocalDateTime;
+import java.util.*;
+import java.util.stream.Collectors;
+
+
+@Slf4j
+@RestController
+@RequestMapping("/api/v1/passages")
+@Tag(name = "Sequential Passage API", description = "순차 구역 통과 선박 조회 API")
+@Validated
+public class SequentialPassageController {
+
+    private final SequentialAreaTrackingService trackingService;
+    private final DataSource queryDataSource;
+
+    public SequentialPassageController(SequentialAreaTrackingService trackingService,
+                                       @Qualifier("queryDataSource") DataSource queryDataSource) {
+        this.trackingService = trackingService;
+        this.queryDataSource = queryDataSource;
+    }
+
+    @Operation(
+        summary = "순차 구역 통과 선박 조회",
+        description = """
+            지정된 구역들을 순차적으로 통과한 선박을 조회합니다.
+            - GRID: 해구(대해구/소해구) 기준으로 조회
+            - AREA: 사용자 정의 구역 기준으로 조회
+            
+            예시:
+            - 해구 93 → 92 → 100 순서로 통과한 선박
+            - 구역 AREA001 → AREA002 → AREA003 순서로 통과한 선박
+            """
+    )
+    @PostMapping("/sequential")
+    public ResponseEntity<SequentialPassageResponse> getSequentialPassages(
+            @Valid @RequestBody SequentialPassageRequest request) {
+        
+        long startMs = System.currentTimeMillis();
+        log.info("Sequential passage request: type={}, zones={}, period={} to {}", 
+                request.getType(), request.getZoneIds(), request.getStartTime(), request.getEndTime());
+        
+        // 유효성 검증
+        if (request.getStartTime().isAfter(request.getEndTime())) {
+            throw new IllegalArgumentException("startTime cannot be after endTime");
+        }
+        
+        List<Map<String, Object>> results;
+        
+        if (request.getType() == SequentialPassageRequest.PassageType.GRID) {
+            // 해구 번호로 변환
+            List<Integer> haeguNumbers = request.getZoneIds().stream()
+                    .map(Integer::parseInt)
+                    .collect(Collectors.toList());
+                    
+            results = trackingService.findSequentialGridPassages(
+                    haeguNumbers, request.getStartTime(), request.getEndTime());
+        } else {
+            results = trackingService.findSequentialAreaPassages(
+                    request.getZoneIds(), request.getStartTime(), request.getEndTime());
+        }
+        
+        // 응답 구성
+        List<SequentialPassageResponse.VesselPassage> passages = results.stream()
+                .map(row -> buildVesselPassage(row, request))
+                .collect(Collectors.toList());
+        
+        long processingTime = System.currentTimeMillis() - startMs;
+        
+        return ResponseEntity.ok(SequentialPassageResponse.builder()
+                .totalVessels(passages.size())
+                .startTime(request.getStartTime())
+                .endTime(request.getEndTime())
+                .zones(request.getZoneIds())
+                .passages(passages)
+                .processingTimeMs(processingTime)
+                .build());
+    }
+
+    @Operation(
+        summary = "구역 통과 통계 조회",
+        description = "특정 구역의 통과 통계를 조회합니다."
+    )
+    @GetMapping("/statistics")
+    public ResponseEntity<Map<String, Object>> getPassageStatistics(
+            @Parameter(description = "구역 유형 (GRID/AREA)", required = true, example = "AREA")
+            @RequestParam SequentialPassageRequest.PassageType type,
+            
+            @Parameter(description = "구역 ID", required = true, example = "AREA001")
+            @RequestParam String zoneId,
+            
+            @Parameter(description = "조회 시작 시간", required = true, example = "2025-08-01T00:00:00")
+            @RequestParam
+            @DateTimeFormat(iso = DateTimeFormat.ISO.DATE_TIME)
+            LocalDateTime startTime,
+            
+            @Parameter(description = "조회 종료 시간", required = true, example = "2025-08-07T23:59:59")
+            @RequestParam
+            @DateTimeFormat(iso = DateTimeFormat.ISO.DATE_TIME)
+            LocalDateTime endTime
+    ) {
+        log.info("Passage statistics request: type={}, zoneId={}, period={} to {}", 
+                type, zoneId, startTime, endTime);
+        
+        Map<String, Object> stats;
+        
+        if (type == SequentialPassageRequest.PassageType.AREA) {
+            stats = trackingService.getAreaPassageStatistics(zoneId, startTime, endTime);
+        } else {
+            // Grid 통계 조회
+            stats = getGridPassageStatistics(Integer.parseInt(zoneId), startTime, endTime);
+        }
+        
+        return ResponseEntity.ok(stats);
+    }
+    
+    @Operation(
+        summary = "다중 구역 동시 통과 선박 조회",
+        description = """
+            지정된 기간 동안 모든 구역을 통과한 선박을 조회합니다.
+            (순서 관계없이 모든 구역을 방문한 선박)
+            """
+    )
+    @PostMapping("/all-zones")
+    public ResponseEntity<Map<String, Object>> getVesselsInAllZones(
+            @Valid @RequestBody SequentialPassageRequest request) {
+        
+        log.info("All zones passage request: zones={}", request.getZoneIds());
+        
+        JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+        String tableName = request.getType() == SequentialPassageRequest.PassageType.GRID 
+                ? "t_grid_vessel_tracks" : "t_area_vessel_tracks";
+        String zoneColumn = request.getType() == SequentialPassageRequest.PassageType.GRID 
+                ? "haegu_no" : "area_id";
+        
+        String sql = String.format("""
+            WITH vessel_zones AS (
+                SELECT 
+                    sig_src_cd,
+                    target_id,
+                    COUNT(DISTINCT %s) as zone_count,
+                    array_agg(DISTINCT %s ORDER BY %s) as visited_zones,
+                    MIN(time_bucket) as first_seen,
+                    MAX(time_bucket) as last_seen,
+                    SUM(distance_nm) as total_distance,
+                    AVG(avg_speed) as avg_speed
+                FROM signal.%s
+                WHERE time_bucket BETWEEN ? AND ?
+                AND %s = ANY(?)
+                GROUP BY sig_src_cd, target_id
+                HAVING COUNT(DISTINCT %s) = ?
+            )
+            SELECT * FROM vessel_zones
+            ORDER BY first_seen
+            """, zoneColumn, zoneColumn, zoneColumn, tableName, zoneColumn, zoneColumn);
+        
+        Object[] params;
+        if (request.getType() == SequentialPassageRequest.PassageType.GRID) {
+            Integer[] haeguArray = request.getZoneIds().stream()
+                    .map(Integer::parseInt)
+                    .toArray(Integer[]::new);
+            params = new Object[]{
+                Timestamp.valueOf(request.getStartTime()),
+                Timestamp.valueOf(request.getEndTime()),
+                haeguArray,
+                request.getZoneIds().size()
+            };
+        } else {
+            params = new Object[]{
+                Timestamp.valueOf(request.getStartTime()),
+                Timestamp.valueOf(request.getEndTime()),
+                request.getZoneIds().toArray(String[]::new),
+                request.getZoneIds().size()
+            };
+        }
+        
+        List<Map<String, Object>> results = jdbcTemplate.queryForList(sql, params);
+        
+        return ResponseEntity.ok(Map.of(
+            "totalVessels", results.size(),
+            "requiredZones", request.getZoneIds(),
+            "period", Map.of(
+                "start", request.getStartTime(),
+                "end", request.getEndTime()
+            ),
+            "vessels", results
+        ));
+    }
+    
+    private SequentialPassageResponse.VesselPassage buildVesselPassage(
+            Map<String, Object> row, SequentialPassageRequest request) {
+        
+        String sigSrcCd = (String) row.get("sig_src_cd");
+        String targetId = (String) row.get("target_id");
+        
+        // 구역별 통과 정보 구성
+        List<SequentialPassageResponse.ZonePassage> zonePassages = new ArrayList<>();
+        
+        for (int i = 0; i < request.getZoneIds().size(); i++) {
+            String zoneId = request.getZoneIds().get(i);
+            String prefix = request.getType() == SequentialPassageRequest.PassageType.GRID 
+                    ? "haegu" : "area";
+            
+            Timestamp entryTime = (Timestamp) row.get(prefix + (i + 1) + "_entry");
+            Timestamp exitTime = (Timestamp) row.get(prefix + (i + 1) + "_exit");
+            
+            if (entryTime != null) {
+                zonePassages.add(SequentialPassageResponse.ZonePassage.builder()
+                        .zoneId(zoneId)
+                        .zoneName(getZoneName(zoneId, request.getType()))
+                        .entryTime(entryTime.toLocalDateTime())
+                        .exitTime(exitTime != null ? exitTime.toLocalDateTime() : null)
+                        .build());
+            }
+        }
+        
+        // 선박 정보 조회 (캐시 활용 가능)
+        SequentialPassageResponse.VesselInfo vesselInfo = getVesselInfo(sigSrcCd, targetId);
+        
+        return SequentialPassageResponse.VesselPassage.builder()
+                .sigSrcCd(sigSrcCd)
+                .targetId(targetId)
+                .vesselInfo(vesselInfo)
+                .zonePassages(zonePassages)
+                .build();
+    }
+    
+    private String getZoneName(String zoneId, SequentialPassageRequest.PassageType type) {
+        if (type == SequentialPassageRequest.PassageType.GRID) {
+            return "해구 " + zoneId;
+        } else {
+            return "구역 " + zoneId;
+        }
+    }
+    
+    private SequentialPassageResponse.VesselInfo getVesselInfo(String sigSrcCd, String targetId) {
+        JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+
+        String sql = """
+        SELECT ship_nm as ship_name, ship_ty as ship_type
+        FROM signal.t_vessel_latest_position
+        WHERE sig_src_cd = ? AND target_id = ?
+        LIMIT 1
+        """;
+
+        try {
+            Map<String, Object> result = jdbcTemplate.queryForMap(sql, sigSrcCd, targetId);
+            return SequentialPassageResponse.VesselInfo.builder()
+                    .shipName(result.get("ship_name") != null ? (String) result.get("ship_name") : null)
+                    .shipType(result.get("ship_type") != null ? (String) result.get("ship_type") : null)
+                    .build();
+        } catch (Exception e) {
+            // 데이터 없을 경우 null 반환
+            return SequentialPassageResponse.VesselInfo.builder()
+                    .shipName(null)
+                    .shipType(null)
+                    .build();
+        }
+    }
+    
+    private Map<String, Object> getGridPassageStatistics(
+            Integer haeguNo, LocalDateTime startTime, LocalDateTime endTime) {
+        
+        JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+        
+        String sql = """
+            SELECT 
+                COUNT(DISTINCT CONCAT(sig_src_cd, '_', target_id)) as unique_vessels,
+                COUNT(*) as total_passages,
+                SUM(distance_nm) as total_distance,
+                AVG(avg_speed) as avg_speed,
+                MIN(time_bucket) as first_passage,
+                MAX(time_bucket) as last_passage
+            FROM signal.t_grid_vessel_tracks
+            WHERE haegu_no = ?
+            AND time_bucket BETWEEN ? AND ?
+        """;
+        
+        return jdbcTemplate.queryForMap(sql,
+            haeguNo,
+            Timestamp.valueOf(startTime),
+            Timestamp.valueOf(endTime)
+        );
+    }
+}

src/main/java/gc/mda/signal_batch/domain/passage/dto/SequentialPassageRequest.java

@@ -0,0 +1,44 @@
+package gc.mda.signal_batch.domain.passage.dto;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import jakarta.validation.constraints.NotNull;
+import jakarta.validation.constraints.Size;
+import java.time.LocalDateTime;
+import java.util.List;
+
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+@Schema(description = "순차 구역 통과 조회 요청")
+public class SequentialPassageRequest {
+    
+    @NotNull(message = "조회 시작 시간은 필수입니다")
+    @Schema(description = "조회 시작 시간", example = "2025-08-01T00:00:00", required = true)
+    private LocalDateTime startTime;
+    
+    @NotNull(message = "조회 종료 시간은 필수입니다")
+    @Schema(description = "조회 종료 시간", example = "2025-08-07T23:59:59", required = true)
+    private LocalDateTime endTime;
+    
+    @Schema(description = "조회 유형 (GRID: 해구, AREA: 사용자정의구역)", example = "GRID", required = true)
+    @NotNull(message = "조회 유형은 필수입니다")
+    private PassageType type;
+    
+    @Size(min = 2, max = 10, message = "구역 ID는 최소 2개, 최대 10개까지 지정 가능합니다")
+    @Schema(description = "순차 통과 구역 목록 (GRID: 해구번호, AREA: 구역ID)", example = "[\"93\", \"92\", \"100\"]")
+    private List<String> zoneIds;
+    
+    @Schema(description = "순차 통과 여부 (true: 순서대로 통과, false: 모든 구역 통과)", example = "true", defaultValue = "true")
+    @Builder.Default
+    private Boolean sequentialOnly = true;
+    
+    public enum PassageType {
+        GRID, AREA
+    }
+}

src/main/java/gc/mda/signal_batch/domain/passage/dto/SequentialPassageResponse.java

@@ -0,0 +1,131 @@
+package gc.mda.signal_batch.domain.passage.dto;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.time.LocalDateTime;
+import java.util.List;
+
+
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+@Schema(description = "순차 구역 통과 조회 응답")
+public class SequentialPassageResponse {
+    
+    @Schema(description = "총 매칭 선박 수", example = "24")
+    private Integer totalVessels;
+    
+    @Schema(description = "조회 시작 시간", example = "2025-08-01T00:00:00")
+    private LocalDateTime startTime;
+    
+    @Schema(description = "조회 종료 시간", example = "2025-08-07T23:59:59")
+    private LocalDateTime endTime;
+    
+    @Schema(description = "조회 구역 목록", example = "[\"93\", \"92\", \"100\"]")
+    private List<String> zones;
+    
+    @Schema(description = "순차 통과 선박 목록")
+    private List<VesselPassage> passages;
+    
+    @Schema(description = "처리 시간 (ms)", example = "788")
+    private Long processingTimeMs;
+    
+    @Data
+    @Builder
+    @NoArgsConstructor
+    @AllArgsConstructor
+    @Schema(description = "선박 통과 정보")
+    public static class VesselPassage {
+        
+        @Schema(description = "신호원 코드", example = "000001")
+        private String sigSrcCd;
+        
+        @Schema(description = "타겟 ID", example = "440308230")
+        private String targetId;
+        
+        @Schema(description = "선박 정보")
+        private VesselInfo vesselInfo;
+        
+        @Schema(description = "구역별 통과 시간")
+        private List<ZonePassage> zonePassages;
+        
+        @Schema(description = "총 이동 거리 (해리)", example = "125.5")
+        private Double totalDistance;
+        
+        @Schema(description = "평균 속도 (knots)", example = "12.3")
+        private Double avgSpeed;
+    }
+    @Data
+    @Builder
+    @NoArgsConstructor
+    @AllArgsConstructor
+    @Schema(description = "선박 정보")
+    public static class VesselInfo {
+        @Schema(description = "선박명", example = "VESSEL NAME")
+        private String shipName;
+        
+        @Schema(description = "선박 타입", example = "30")
+        private String shipType;
+        
+//        @Schema(description = "선박 종류 코드", example = "000020")
+//        private String shipKindCode;
+//
+//        @Schema(description = "IMO 번호", example = "9123456")
+//        private String imoNumber;
+//
+//        @Schema(description = "호출부호", example = "VRAA5")
+//        private String callSign;
+    }
+    
+    @Data
+    @Builder
+    @NoArgsConstructor
+    @AllArgsConstructor
+    @Schema(description = "구역 통과 정보")
+    public static class ZonePassage {
+        @Schema(description = "구역 ID", example = "93")
+        private String zoneId;
+        
+        @Schema(description = "구역명", example = "해구 93")
+        private String zoneName;
+        
+        @Schema(description = "진입 시간", example = "2025-08-01T10:30:00")
+        private LocalDateTime entryTime;
+        
+        @Schema(description = "진출 시간", example = "2025-08-01T14:45:00")
+        private LocalDateTime exitTime;
+        
+        @Schema(description = "구역 내 이동거리 (해리)", example = "45.2")
+        private Double distanceInZone;
+        
+        @Schema(description = "구역 내 평균속도 (knots)", example = "11.5")
+        private Double avgSpeedInZone;
+    }
+    
+    @Data
+    @Builder
+    @NoArgsConstructor
+    @AllArgsConstructor
+    @Schema(description = "구역 통과 통계")
+    public static class PassageStatistics {
+        @Schema(description = "구역 ID", example = "93")
+        private String zoneId;
+        
+        @Schema(description = "총 통과 선박 수", example = "1722")
+        private Integer totalVessels;
+        
+        @Schema(description = "총 통과 횟수", example = "5431")
+        private Integer totalPassages;
+        
+        @Schema(description = "평균 체류 시간 (분)", example = "245")
+        private Double avgDurationMinutes;
+        
+        @Schema(description = "최다 통과 시간대", example = "14:00-15:00")
+        private String peakHour;
+    }
+}

src/main/java/gc/mda/signal_batch/domain/passage/service/SequentialAreaTrackingService.java

@@ -0,0 +1,178 @@
+package gc.mda.signal_batch.domain.passage.service;
+
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.stereotype.Service;
+
+import javax.sql.DataSource;
+import java.sql.Timestamp;
+import java.time.LocalDateTime;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * 순차 구역 통과 선박 조회 최적화 서비스
+ * - Unix timestamp 기반 M값 활용
+ * - 병렬 쿼리 처리
+ * - 결과 캐싱
+ */
+@Slf4j
+@Service
+public class SequentialAreaTrackingService {
+
+    private final DataSource queryDataSource;
+
+    public SequentialAreaTrackingService(@Qualifier("queryDataSource") DataSource queryDataSource) {
+        this.queryDataSource = queryDataSource;
+    }
+    
+    /**
+     * 순차적으로 지정된 구역들을 통과한 선박 조회 (Grid)
+     */
+    public List<Map<String, Object>> findSequentialGridPassages(
+            List<Integer> haeguNumbers,
+            LocalDateTime startTime,
+            LocalDateTime endTime) {
+        
+        JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+        
+        // MATERIALIZED CTE 사용으로 중간 결과 고정
+        String sql = """
+            WITH vessel_passages AS (
+                SELECT DISTINCT
+                    sig_src_cd,
+                    target_id,
+                    haegu_no,
+                    FIRpublic.ST_VALUE(time_bucket) OVER (
+                        PARTITION BY sig_src_cd, target_id, haegu_no 
+                        ORDER BY time_bucket
+                    ) as entry_time,
+                    LApublic.ST_VALUE(time_bucket) OVER (
+                        PARTITION BY sig_src_cd, target_id, haegu_no 
+                        ORDER BY time_bucket 
+                        ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING
+                    ) as exit_time
+                FROM signal.t_grid_vessel_tracks
+                WHERE time_bucket BETWEEN ? AND ?
+                AND haegu_no = ANY(ARRAY[?]::integer[])
+            )
+            SELECT 
+                v1.sig_src_cd,
+                v1.target_id,
+                v1.entry_time as haegu1_entry,
+                v1.exit_time as haegu1_exit,
+                v2.entry_time as haegu2_entry,
+                v2.exit_time as haegu2_exit,
+                v3.entry_time as haegu3_entry,
+                v3.exit_time as haegu3_exit
+            FROM vessel_passages v1
+            JOIN vessel_passages v2 ON v1.sig_src_cd = v2.sig_src_cd 
+                AND v1.target_id = v2.target_id
+                AND v2.haegu_no = ? AND v2.entry_time > v1.exit_time
+            JOIN vessel_passages v3 ON v2.sig_src_cd = v3.sig_src_cd 
+                AND v2.target_id = v3.target_id  
+                AND v3.haegu_no = ? AND v3.entry_time > v2.exit_time
+            WHERE v1.haegu_no = ?
+            ORDER BY v1.entry_time
+        """;
+        
+        return jdbcTemplate.queryForList(sql,
+            Timestamp.valueOf(startTime),
+            Timestamp.valueOf(endTime),
+            haeguNumbers.toArray(Integer[]::new),
+            haeguNumbers.get(1),
+            haeguNumbers.get(2),
+            haeguNumbers.get(0)
+        );
+    }
+    
+    /**
+     * 순차적으로 지정된 구역들을 통과한 선박 조회 (Area)
+     */
+    public List<Map<String, Object>> findSequentialAreaPassages(
+            List<String> areaIds,
+            LocalDateTime startTime,
+            LocalDateTime endTime) {
+        
+        JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+        
+        String sql = """
+            WITH area_passages AS (
+                SELECT DISTINCT
+                    sig_src_cd,
+                    target_id,
+                    area_id,
+                    FIRpublic.ST_VALUE(time_bucket) OVER (
+                        PARTITION BY sig_src_cd, target_id, area_id 
+                        ORDER BY time_bucket
+                    ) as entry_time,
+                    LApublic.ST_VALUE(time_bucket) OVER (
+                        PARTITION BY sig_src_cd, target_id, area_id 
+                        ORDER BY time_bucket 
+                        ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING
+                    ) as exit_time
+                FROM signal.t_area_vessel_tracks
+                WHERE time_bucket BETWEEN ? AND ?
+                AND area_id = ANY(ARRAY[?]::varchar[])
+            )
+            SELECT 
+                a1.sig_src_cd,
+                a1.target_id,
+                a1.entry_time as area1_entry,
+                a1.exit_time as area1_exit,
+                a2.entry_time as area2_entry,
+                a2.exit_time as area2_exit,
+                a3.entry_time as area3_entry,
+                a3.exit_time as area3_exit
+            FROM area_passages a1
+            JOIN area_passages a2 ON a1.sig_src_cd = a2.sig_src_cd 
+                AND a1.target_id = a2.target_id
+                AND a2.area_id = ? AND a2.entry_time > a1.exit_time
+            JOIN area_passages a3 ON a2.sig_src_cd = a3.sig_src_cd 
+                AND a2.target_id = a3.target_id  
+                AND a3.area_id = ? AND a3.entry_time > a2.exit_time
+            WHERE a1.area_id = ?
+            ORDER BY a1.entry_time
+        """;
+        
+        return jdbcTemplate.queryForList(sql,
+            Timestamp.valueOf(startTime),
+            Timestamp.valueOf(endTime),
+            areaIds.toArray(String[]::new),
+            areaIds.get(1),
+            areaIds.get(2),
+            areaIds.get(0)
+        );
+    }
+    
+    /**
+     * 특정 구역 통과 통계 (캐시 활용)
+     */
+    public Map<String, Object> getAreaPassageStatistics(
+            String areaId,
+            LocalDateTime startTime,
+            LocalDateTime endTime) {
+        
+        JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+        
+        String sql = """
+            SELECT 
+                COUNT(DISTINCT CONCAT(sig_src_cd, '_', target_id)) as unique_vessels,
+                COUNT(*) as total_passages,
+                SUM(distance_nm) as total_distance,
+                AVG(avg_speed) as avg_speed,
+                MIN(time_bucket) as first_passage,
+                MAX(time_bucket) as last_passage
+            FROM signal.t_area_vessel_tracks
+            WHERE area_id = ?
+            AND time_bucket BETWEEN ? AND ?
+        """;
+        
+        return jdbcTemplate.queryForMap(sql,
+            areaId,
+            Timestamp.valueOf(startTime),
+            Timestamp.valueOf(endTime)
+        );
+    }
+}

src/main/java/gc/mda/signal_batch/domain/track/controller/AbnormalTrackController.java

@@ -0,0 +1,180 @@
+package gc.mda.signal_batch.domain.track.controller;
+
+import gc.mda.signal_batch.domain.track.dto.AbnormalTrackResponse;
+import gc.mda.signal_batch.domain.track.dto.AbnormalTrackStatsResponse;
+import gc.mda.signal_batch.domain.track.service.AbnormalTrackService;
+import io.swagger.v3.oas.annotations.Operation;
+import io.swagger.v3.oas.annotations.Parameter;
+import io.swagger.v3.oas.annotations.tags.Tag;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.format.annotation.DateTimeFormat;
+import org.springframework.http.ResponseEntity;
+import org.springframework.web.bind.annotation.*;
+
+import java.time.LocalDate;
+import java.time.LocalDateTime;
+import java.util.List;
+import java.util.Map;
+import java.math.BigDecimal;
+import com.fasterxml.jackson.annotation.JsonFormat;
+
+
+/**
+ * 비정상 궤적 모니터링 API
+ */
+@Slf4j
+@RestController
+@RequestMapping("/api/v1/abnormal-tracks")
+@RequiredArgsConstructor
+@Tag(name = "비정상 항적 검출 API", description = "비정상 항적 검출, 조회 및 통계 API")
+public class AbnormalTrackController {
+    
+    private final AbnormalTrackService abnormalTrackService;
+    
+    @GetMapping("/recent")
+    @Operation(summary = "최근 비정상 항적 조회", description = "지정된 시간 이내의 비정상 항적을 조회합니다.")
+    public ResponseEntity<List<AbnormalTrackResponse>> getRecentAbnormalTracks(
+            @Parameter(description = "조회 시간 (기본값: 24시간)")
+            @RequestParam(defaultValue = "24") int hours) {
+        
+        LocalDateTime since = LocalDateTime.now().minusHours(hours);
+        List<AbnormalTrackResponse> tracks = abnormalTrackService.getAbnormalTracksSince(since);
+        
+        return ResponseEntity.ok(tracks);
+    }
+    
+    @GetMapping("/vessel/{sigSrcCd}/{targetId}")
+    @Operation(summary = "특정 선박의 비정상 항적 이력", description = "특정 선박의 비정상 항적 이력을 조회합니다.")
+    public ResponseEntity<List<AbnormalTrackResponse>> getVesselAbnormalTracks(
+            @PathVariable String sigSrcCd,
+            @PathVariable String targetId,
+            @Parameter(description = "시작 날짜")
+            @RequestParam @DateTimeFormat(iso = DateTimeFormat.ISO.DATE) LocalDate startDate,
+            @Parameter(description = "종료 날짜")
+            @RequestParam @DateTimeFormat(iso = DateTimeFormat.ISO.DATE) LocalDate endDate) {
+        
+        List<AbnormalTrackResponse> tracks = abnormalTrackService.getVesselAbnormalTracks(
+            sigSrcCd, targetId, startDate.atStartOfDay(), endDate.plusDays(1).atStartOfDay()
+        );
+        
+        return ResponseEntity.ok(tracks);
+    }
+    
+    @GetMapping("/statistics")
+    @Operation(summary = "비정상 항적 통계", description = "지정된 기간의 비정상 항적 통계를 조회합니다.")
+    public ResponseEntity<List<AbnormalTrackStatsResponse>> getAbnormalTrackStatistics(
+            @Parameter(description = "시작 날짜")
+            @RequestParam @DateTimeFormat(iso = DateTimeFormat.ISO.DATE) LocalDate startDate,
+            @Parameter(description = "종료 날짜")
+            @RequestParam @DateTimeFormat(iso = DateTimeFormat.ISO.DATE) LocalDate endDate) {
+        
+        List<AbnormalTrackStatsResponse> stats = abnormalTrackService.getStatistics(startDate, endDate);
+        
+        return ResponseEntity.ok(stats);
+    }
+    
+    @GetMapping("/statistics/summary")
+    @Operation(summary = "비정상 항적 요약 통계", description = "비정상 유형별 요약 통계를 조회합니다.")
+    public ResponseEntity<Map<String, Object>> getAbnormalTrackSummary(
+            @Parameter(description = "조회 일수 (기본값: 7일)")
+            @RequestParam(defaultValue = "7") int days) {
+        
+        Map<String, Object> summary = abnormalTrackService.getSummaryStatistics(days);
+        
+        return ResponseEntity.ok(summary);
+    }
+    
+    @GetMapping("/types")
+    @Operation(summary = "비정상 유형 목록", description = "비정상 항적 유형 목록을 조회합니다.")
+    public ResponseEntity<Map<String, String>> getAbnormalTypes() {
+        Map<String, String> types = Map.of(
+            "excessive_speed", "과속 (50 knots 초과)",
+            "teleport", "순간이동 (5분간 10nm 초과)",
+            "gap_jump", "Bucket 간 비정상 이동",
+            "excessive_acceleration", "급가속 (분당 10 knots 초과)"
+        );
+        
+        return ResponseEntity.ok(types);
+    }
+    
+    @PostMapping("/detect")
+    @Operation(summary = "사용자 정의 기준으로 비정상 항적 검출", description = "hourly/daily 테이블에서 거리/속도 기준으로 비정상 항적을 검출합니다.")
+    public ResponseEntity<List<AbnormalTrackResponse>> detectAbnormalTracks(
+            @RequestBody DetectRequest request) {
+        
+        List<AbnormalTrackResponse> tracks = abnormalTrackService.detectFromHourlyDaily(
+            request.getTableType(),
+            request.getStartTime(),
+            request.getEndTime(),
+            request.getMinDistance(),
+            request.getMinSpeed()
+        );
+        
+        return ResponseEntity.ok(tracks);
+    }
+    
+    @PostMapping("/move-to-abnormal")
+    @Operation(summary = "선택된 항적을 비정상 테이블로 이동", description = "선택된 항적을 원래 테이블에서 삭제하고 t_abnormal_tracks로 이동합니다.")
+    public ResponseEntity<Map<String, Object>> moveToAbnormalTracks(
+            @RequestBody MoveTracksRequest request) {
+        
+        int movedCount = abnormalTrackService.moveToAbnormalTracks(
+            request.getTableType(),
+            request.getTracks(),
+            request.getAbnormalType(),
+            request.getReason()
+        );
+        
+        return ResponseEntity.ok(Map.of(
+            "success", true,
+            "movedCount", movedCount,
+            "message", String.format("%d개의 항적이 비정상 테이블로 이동되었습니다.", movedCount)
+        ));
+    }
+    
+    @lombok.Data
+    static class DetectRequest {
+        private String tableType; // "hourly" or "daily"
+        @DateTimeFormat(iso = DateTimeFormat.ISO.DATE_TIME)
+        @JsonFormat(pattern = "yyyy-MM-dd'T'HH:mm:ss")
+        private LocalDateTime startTime;
+        @DateTimeFormat(iso = DateTimeFormat.ISO.DATE_TIME)
+        @JsonFormat(pattern = "yyyy-MM-dd'T'HH:mm:ss")
+        private LocalDateTime endTime;
+        private BigDecimal minDistance; // 최소 거리 (nm)
+        private BigDecimal minSpeed; // 최소 평균속도 (knots)
+    }
+    
+    @lombok.Data
+    static class MoveTracksRequest {
+        private String tableType; // "hourly" or "daily"
+        private List<TrackIdentifier> tracks;
+        private String abnormalType;
+        private String reason;
+    }
+    
+    @lombok.Data
+    public static class TrackIdentifier {
+        private String sigSrcCd;
+        private String targetId;
+        @DateTimeFormat(iso = DateTimeFormat.ISO.DATE_TIME)
+        @JsonFormat(pattern = "yyyy-MM-dd'T'HH:mm:ss")
+        private LocalDateTime timeBucket;
+    }
+    
+    @DeleteMapping("/cleanup")
+    @Operation(summary = "오래된 비정상 항적 정리", description = "지정된 일수 이전의 비정상 항적 데이터를 삭제합니다.")
+    public ResponseEntity<Map<String, Object>> cleanupOldAbnormalTracks(
+            @Parameter(description = "보존 기간 (일)")
+            @RequestParam(defaultValue = "30") int retentionDays) {
+        
+        int deletedCount = abnormalTrackService.cleanupOldData(retentionDays);
+        
+        return ResponseEntity.ok(Map.of(
+            "deletedCount", deletedCount,
+            "retentionDays", retentionDays,
+            "message", String.format("%d일 이전의 %d건 비정상 항적 데이터가 삭제되었습니다.", retentionDays, deletedCount)
+        ));
+    }
+}

src/main/java/gc/mda/signal_batch/domain/track/dto/AbnormalTrackResponse.java

@@ -0,0 +1,34 @@
+package gc.mda.signal_batch.domain.track.dto;
+
+import lombok.Builder;
+import lombok.Data;
+
+import java.math.BigDecimal;
+import java.time.LocalDateTime;
+import java.util.Map;
+
+/**
+ * 비정상 궤적 응답 DTO
+ */
+@Data
+@Builder
+public class AbnormalTrackResponse {
+    private Long id;
+    private String sigSrcCd;
+    private String targetId;
+    private String vesselId;  // sigSrcCd:targetId
+    private LocalDateTime timeBucket;
+    private String abnormalType;
+    private String typeDescription;
+    private String abnormalDescription;
+    private BigDecimal distanceNm;
+    private BigDecimal avgSpeed;
+    private BigDecimal maxSpeed;
+    private Integer pointCount;
+    private String sourceTable;
+    private LocalDateTime detectedAt;
+    private Map<String, Object> details;
+    
+    // GeoJSON 형식의 궤적 (선택적)
+    private Object trackGeoJson;
+}

src/main/java/gc/mda/signal_batch/domain/track/dto/AbnormalTrackStatsResponse.java

@@ -0,0 +1,22 @@
+package gc.mda.signal_batch.domain.track.dto;
+
+import lombok.Builder;
+import lombok.Data;
+
+import java.math.BigDecimal;
+import java.time.LocalDate;
+
+/**
+ * 비정상 궤적 통계 응답 DTO
+ */
+@Data
+@Builder
+public class AbnormalTrackStatsResponse {
+    private LocalDate statDate;
+    private String abnormalType;
+    private Integer vesselCount;
+    private Integer trackCount;
+    private Integer totalPoints;
+    private BigDecimal avgDeviation;
+    private BigDecimal maxDeviation;
+}

src/main/java/gc/mda/signal_batch/domain/track/service/AbnormalTrackService.java

@@ -0,0 +1,501 @@
+package gc.mda.signal_batch.domain.track.service;
+
+import com.fasterxml.jackson.core.type.TypeReference;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import gc.mda.signal_batch.domain.track.dto.AbnormalTrackResponse;
+import gc.mda.signal_batch.domain.track.dto.AbnormalTrackStatsResponse;
+
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.stereotype.Service;
+import org.springframework.transaction.annotation.Transactional;
+
+import java.time.LocalDate;
+import java.time.LocalDateTime;
+import java.util.List;
+import java.util.Map;
+import java.math.BigDecimal;
+import gc.mda.signal_batch.domain.track.controller.AbnormalTrackController.TrackIdentifier;
+
+
+/**
+ * 비정상 궤적 서비스
+ */
+@Slf4j
+@Service
+public class AbnormalTrackService {
+    
+    private final JdbcTemplate jdbcTemplate;
+    
+
+    
+    public AbnormalTrackService(@Qualifier("queryJdbcTemplate") JdbcTemplate jdbcTemplate) {
+        this.jdbcTemplate = jdbcTemplate;
+    }
+    
+    private final ObjectMapper objectMapper = new ObjectMapper();
+    
+    // track_geom 고정 사용
+    
+    /**
+     * 특정 시간 이후의 비정상 궤적 조회
+     */
+    public List<AbnormalTrackResponse> getAbnormalTracksSince(LocalDateTime since) {
+        String sql = """
+            SELECT 
+                id,
+                sig_src_cd,
+                target_id,
+                sig_src_cd || ':' || target_id as vessel_id,
+                time_bucket,
+                abnormal_type,
+                abnormal_reason,
+                distance_nm,
+                avg_speed,
+                max_speed,
+                point_count,
+                source_table,
+                detected_at,
+                -- M값을 포함한 커스텀 GeoJSON 생성
+                jsonb_build_object(
+                    'type', 'LineString',
+                    'coordinates', (
+                        SELECT jsonb_agg(
+                            jsonb_build_array(
+                                public.ST_X(public.ST_PointN(track_geom, point_num)),
+                                public.ST_Y(public.ST_PointN(track_geom, point_num)),
+                                public.ST_M(public.ST_PointN(track_geom, point_num))
+                            )
+                        )
+                        FROM generate_series(1, public.ST_NPoints(track_geom)) AS point_num
+                    )
+                )::text as track_geojson
+            FROM signal.t_abnormal_tracks
+            WHERE detected_at >= ?
+                AND track_geom IS NOT NULL
+            ORDER BY detected_at DESC
+            LIMIT 1000
+        """;
+        
+        return jdbcTemplate.query(sql, (rs, rowNum) -> {
+            Map<String, Object> abnormalReason = null;
+            try {
+                abnormalReason = objectMapper.readValue(
+                    rs.getString("abnormal_reason"), 
+                    new TypeReference<Map<String, Object>>() {}
+                );
+            } catch (Exception e) {
+                log.error("Failed to parse abnormal_reason: {}", e.getMessage());
+            }
+            
+            return AbnormalTrackResponse.builder()
+                .id(rs.getLong("id"))
+                .sigSrcCd(rs.getString("sig_src_cd"))
+                .targetId(rs.getString("target_id"))
+                .vesselId(rs.getString("vessel_id"))
+                .timeBucket(rs.getTimestamp("time_bucket").toLocalDateTime())
+                .abnormalType(rs.getString("abnormal_type"))
+                .typeDescription(getTypeDescription(rs.getString("abnormal_type")))
+                .abnormalDescription(getAbnormalDescription(abnormalReason))
+                .distanceNm(rs.getBigDecimal("distance_nm"))
+                .avgSpeed(rs.getBigDecimal("avg_speed"))
+                .maxSpeed(rs.getBigDecimal("max_speed"))
+                .pointCount(rs.getInt("point_count"))
+                .sourceTable(rs.getString("source_table"))
+                .detectedAt(rs.getTimestamp("detected_at").toLocalDateTime())
+                .details(abnormalReason)
+                .trackGeoJson(rs.getString("track_geojson"))
+                .build();
+        }, since);
+    }
+    
+    /**
+     * 특정 선박의 비정상 궤적 이력 조회
+     */
+    public List<AbnormalTrackResponse> getVesselAbnormalTracks(
+            String sigSrcCd, String targetId, LocalDateTime startTime, LocalDateTime endTime) {
+        
+        String sql = """
+            SELECT 
+                id,
+                sig_src_cd,
+                target_id,
+                sig_src_cd || ':' || target_id as vessel_id,
+                time_bucket,
+                abnormal_type,
+                abnormal_reason,
+                distance_nm,
+                avg_speed,
+                max_speed,
+                point_count,
+                source_table,
+                detected_at
+            FROM signal.t_abnormal_tracks
+            WHERE sig_src_cd = ?
+              AND target_id = ?
+              AND time_bucket >= ?
+              AND time_bucket < ?
+            ORDER BY time_bucket DESC
+        """;
+        
+        return jdbcTemplate.query(sql, (rs, rowNum) -> {
+            Map<String, Object> abnormalReason = null;
+            try {
+                abnormalReason = objectMapper.readValue(
+                    rs.getString("abnormal_reason"), 
+                    new TypeReference<Map<String, Object>>() {}
+                );
+            } catch (Exception e) {
+                log.error("Failed to parse abnormal_reason: {}", e.getMessage());
+            }
+            
+            return AbnormalTrackResponse.builder()
+                .id(rs.getLong("id"))
+                .sigSrcCd(rs.getString("sig_src_cd"))
+                .targetId(rs.getString("target_id"))
+                .vesselId(rs.getString("vessel_id"))
+                .timeBucket(rs.getTimestamp("time_bucket").toLocalDateTime())
+                .abnormalType(rs.getString("abnormal_type"))
+                .typeDescription(getTypeDescription(rs.getString("abnormal_type")))
+                .abnormalDescription(getAbnormalDescription(abnormalReason))
+                .distanceNm(rs.getBigDecimal("distance_nm"))
+                .avgSpeed(rs.getBigDecimal("avg_speed"))
+                .maxSpeed(rs.getBigDecimal("max_speed"))
+                .pointCount(rs.getInt("point_count"))
+                .sourceTable(rs.getString("source_table"))
+                .detectedAt(rs.getTimestamp("detected_at").toLocalDateTime())
+                .details(abnormalReason)
+                .build();
+        }, sigSrcCd, targetId, startTime, endTime);
+    }
+    
+    /**
+     * 비정상 궤적 통계 조회
+     */
+    public List<AbnormalTrackStatsResponse> getStatistics(LocalDate startDate, LocalDate endDate) {
+        String sql = """
+            SELECT 
+                stat_date,
+                abnormal_type,
+                vessel_count,
+                track_count,
+                total_points,
+                avg_deviation,
+                max_deviation
+            FROM signal.t_abnormal_track_stats
+            WHERE stat_date >= ?
+              AND stat_date <= ?
+            ORDER BY stat_date DESC, track_count DESC
+        """;
+        
+        return jdbcTemplate.query(sql, (rs, rowNum) -> 
+            AbnormalTrackStatsResponse.builder()
+                .statDate(rs.getDate("stat_date").toLocalDate())
+                .abnormalType(rs.getString("abnormal_type"))
+                .vesselCount(rs.getInt("vessel_count"))
+                .trackCount(rs.getInt("track_count"))
+                .totalPoints(rs.getInt("total_points"))
+                .avgDeviation(rs.getBigDecimal("avg_deviation"))
+                .maxDeviation(rs.getBigDecimal("max_deviation"))
+                .build(),
+            startDate, endDate
+        );
+    }
+    
+    /**
+     * 요약 통계 조회
+     */
+    public Map<String, Object> getSummaryStatistics(int days) {
+        LocalDateTime since = LocalDateTime.now().minusDays(days);
+        
+        // 전체 통계
+        String totalSql = """
+            SELECT 
+                COUNT(DISTINCT abnormal_type) as type_count,
+                COUNT(*) as total_tracks,
+                COUNT(DISTINCT sig_src_cd || ':' || target_id) as vessel_count,
+                AVG(distance_nm) as avg_distance,
+                MAX(max_speed) as max_speed_detected
+            FROM signal.t_abnormal_tracks
+            WHERE detected_at >= ?
+        """;
+        
+        Map<String, Object> summary = jdbcTemplate.queryForMap(totalSql, since);
+        
+        // 유형별 통계
+        String typeSql = """
+            SELECT 
+                abnormal_type,
+                COUNT(*) as count,
+                COUNT(DISTINCT sig_src_cd || ':' || target_id) as vessel_count
+            FROM signal.t_abnormal_tracks
+            WHERE detected_at >= ?
+            GROUP BY abnormal_type
+            ORDER BY count DESC
+        """;
+        
+        List<Map<String, Object>> typeStats = jdbcTemplate.queryForList(typeSql, since);
+        summary.put("typeStatistics", typeStats);
+        
+        // 일별 추이
+        String trendSql = """
+            SELECT 
+                DATE(detected_at) as date,
+                COUNT(*) as count
+            FROM signal.t_abnormal_tracks
+            WHERE detected_at >= ?
+            GROUP BY DATE(detected_at)
+            ORDER BY date
+        """;
+        
+        List<Map<String, Object>> trend = jdbcTemplate.queryForList(trendSql, since);
+        summary.put("dailyTrend", trend);
+        
+        return summary;
+    }
+    
+    /**
+     * 오래된 데이터 정리
+     */
+    /**
+     * hourly/daily 테이블에서 사용자 정의 기준으로 비정상 궤적 검출
+     */
+    public List<AbnormalTrackResponse> detectFromHourlyDaily(
+            String tableType, 
+            LocalDateTime startTime, 
+            LocalDateTime endTime,
+            BigDecimal minDistance,
+            BigDecimal minSpeed) {
+        
+        // null 처리 - final 변수로 생성
+        final BigDecimal finalMinDistance = minDistance == null ? BigDecimal.ZERO : minDistance;
+        final BigDecimal finalMinSpeed = minSpeed == null ? BigDecimal.ZERO : minSpeed;
+        
+        String tableName = tableType.equals("hourly") ? 
+            "t_vessel_tracks_hourly" : "t_vessel_tracks_daily";
+        
+        // track_geom 사용
+        
+        String sql = String.format("""
+            SELECT 
+                sig_src_cd,
+                target_id,
+                sig_src_cd || ':' || target_id as vessel_id,
+                time_bucket,
+                distance_nm,
+                avg_speed,
+                max_speed,
+                point_count,
+                -- M값을 포함한 커스텀 GeoJSON 생성
+                jsonb_build_object(
+                    'type', 'LineString',
+                    'coordinates', (
+                        SELECT jsonb_agg(
+                            jsonb_build_array(
+                                public.ST_X(public.ST_PointN(track_geom, point_num)),
+                                public.ST_Y(public.ST_PointN(track_geom, point_num)),
+                                public.ST_M(public.ST_PointN(track_geom, point_num))
+                            )
+                        )
+                        FROM generate_series(1, public.ST_NPoints(track_geom)) AS point_num
+                    )
+                )::text as track_geojson,
+                start_position,
+                end_position
+            FROM signal.%s
+            WHERE time_bucket >= ?
+              AND time_bucket < ?
+              AND track_geom IS NOT NULL
+              AND (? = 0 OR distance_nm >= ?)
+              AND (? = 0 OR avg_speed >= ?)
+            ORDER BY time_bucket DESC, distance_nm DESC
+            LIMIT 500
+        """, tableName);
+        
+        return jdbcTemplate.query(sql, (rs, rowNum) -> {
+            // 비정상 유형 결정
+            String abnormalType = "user_detected";
+            String description = "사용자 정의 기준 (거리: " + finalMinDistance + "nm, 속도: " + finalMinSpeed + "kts 이상)";
+            
+            BigDecimal distance = rs.getBigDecimal("distance_nm");
+            BigDecimal avgSpeed = rs.getBigDecimal("avg_speed");
+            
+            if (avgSpeed != null && avgSpeed.compareTo(new BigDecimal("100")) > 0) {
+                abnormalType = "extreme_speed";
+                description = "극단적 속도: " + avgSpeed + "kts";
+            } else if (distance != null && distance.compareTo(new BigDecimal("50")) > 0) {
+                abnormalType = "extreme_distance";
+                description = "극단적 이동거리: " + distance + "nm";
+            }
+            
+            String sigSrcCd = rs.getString("sig_src_cd");
+            String targetId = rs.getString("target_id");
+            LocalDateTime timeBucket = rs.getTimestamp("time_bucket").toLocalDateTime();
+            
+            // ID를 조합 해시로 생성 (고유성 보장)
+            long generatedId = (sigSrcCd + targetId + timeBucket.toString()).hashCode() & 0x7fffffffL;
+            
+            return AbnormalTrackResponse.builder()
+                .id(generatedId)
+                .sigSrcCd(sigSrcCd)
+                .targetId(targetId)
+                .vesselId(rs.getString("vessel_id"))
+                .timeBucket(timeBucket)
+                .abnormalType(abnormalType)
+                .typeDescription(getTypeDescription(abnormalType))
+                .abnormalDescription(description)
+                .distanceNm(distance)
+                .avgSpeed(avgSpeed)
+                .maxSpeed(rs.getBigDecimal("max_speed"))
+                .pointCount(rs.getInt("point_count"))
+                .sourceTable(tableName)
+                .detectedAt(LocalDateTime.now())
+                .details(Map.of(
+                    "tableType", tableType,
+                    "minDistance", finalMinDistance,
+                    "minSpeed", finalMinSpeed
+                ))
+                .trackGeoJson(rs.getString("track_geojson"))
+                .build();
+        }, startTime, endTime, finalMinDistance, finalMinDistance, finalMinSpeed, finalMinSpeed);
+    }
+    
+    /**
+     * 선택된 궤적을 비정상 테이블로 이동 (정확한 버전)
+     */
+    @Transactional
+    public int moveToAbnormalTracks(
+            String tableType,
+            List<TrackIdentifier> tracks,
+            String abnormalType,
+            String reason) {
+        
+        if (tracks == null || tracks.isEmpty()) {
+            return 0;
+        }
+        
+        String sourceTable = tableType.equals("hourly") ? 
+            "t_vessel_tracks_hourly" : "t_vessel_tracks_daily";
+        
+        String reasonJson = "{\"type\": \"" + abnormalType + "\", \"reason\": \"" + reason + "\"}";
+        int totalMoved = 0;
+        
+        // 각 트랙을 개별적으로 처리 (배치 처리도 가능하지만 정확성을 위해)
+        for (TrackIdentifier track : tracks) {
+            try {
+                // 1. t_abnormal_tracks로 복사
+                // track_geom 고정 사용
+                
+                String insertSql = String.format("""
+                    INSERT INTO signal.t_abnormal_tracks (
+                        sig_src_cd, target_id, time_bucket, abnormal_type, abnormal_reason,
+                        distance_nm, avg_speed, max_speed, point_count, track_geom,
+                        source_table, detected_at
+                    )
+                    SELECT 
+                        sig_src_cd, target_id, time_bucket, ?, ?::jsonb,
+                        distance_nm, avg_speed, max_speed, point_count, track_geom,
+                        ?, NOW()
+                    FROM signal.%s
+                    WHERE sig_src_cd = ?
+                      AND target_id = ?
+                      AND time_bucket = ?
+                """, sourceTable);
+                
+                int inserted = jdbcTemplate.update(insertSql, 
+                    abnormalType,
+                    reasonJson,
+                    sourceTable,
+                    track.getSigSrcCd(),
+                    track.getTargetId(),
+                    track.getTimeBucket()
+                );
+                
+                if (inserted > 0) {
+                    // 2. 원본 테이블에서 삭제
+                    String deleteSql = String.format("""
+                        DELETE FROM signal.%s
+                        WHERE sig_src_cd = ?
+                          AND target_id = ?
+                          AND time_bucket = ?
+                    """, sourceTable);
+                    
+                    int deleted = jdbcTemplate.update(deleteSql,
+                        track.getSigSrcCd(),
+                        track.getTargetId(),
+                        track.getTimeBucket()
+                    );
+                    
+                    if (deleted > 0) {
+                        totalMoved++;
+                        log.debug("Moved track: {} {} {}", 
+                            track.getSigSrcCd(), track.getTargetId(), track.getTimeBucket());
+                    } else {
+                        log.warn("Failed to delete track after insert: {} {} {}",
+                            track.getSigSrcCd(), track.getTargetId(), track.getTimeBucket());
+                    }
+                }
+            } catch (Exception e) {
+                log.error("Error moving track {} {} {}: {}", 
+                    track.getSigSrcCd(), track.getTargetId(), track.getTimeBucket(), e.getMessage());
+            }
+        }
+        
+        log.info("Successfully moved {} tracks from {} to t_abnormal_tracks", totalMoved, sourceTable);
+        
+        return totalMoved;
+    }
+    
+    @Transactional
+    public int cleanupOldData(int retentionDays) {
+        LocalDateTime cutoffDate = LocalDateTime.now().minusDays(retentionDays);
+        
+        String sql = "DELETE FROM signal.t_abnormal_tracks WHERE detected_at < ?";
+        int deletedCount = jdbcTemplate.update(sql, cutoffDate);
+        
+        log.info("Cleaned up {} abnormal tracks older than {} days", deletedCount, retentionDays);
+        
+        return deletedCount;
+    }
+    
+    private String getTypeDescription(String type) {
+        return switch (type) {
+            case "excessive_speed" -> "과속";
+            case "teleport" -> "순간이동";
+            case "gap_jump" -> "Bucket 간 점프";
+            case "excessive_acceleration" -> "급가속";
+            case "extreme_avg_speed_5min" -> "순간이동"; // 5분 극단 속도를 순간이동으로 분류
+            case "user_detected" -> "사용자 검출";
+            default -> type;
+        };
+    }
+    
+    /**
+     * 비정상 궤적 설명 추출 (null 안전하게)
+     */
+    @SuppressWarnings("unchecked")
+    private String getAbnormalDescription(Map<String, Object> abnormalReason) {
+        if (abnormalReason == null) {
+            return "";
+        }
+        
+        try {
+            Object segments = abnormalReason.get("segments");
+            if (segments instanceof List) {
+                List<Map<String, Object>> segmentList = (List<Map<String, Object>>) segments;
+                if (!segmentList.isEmpty()) {
+                    Map<String, Object> firstSegment = segmentList.get(0);
+                    if (firstSegment != null) {
+                        Object description = firstSegment.get("description");
+                        return description != null ? description.toString() : "";
+                    }
+                }
+            }
+        } catch (Exception e) {
+            log.warn("Failed to extract abnormal description: {}", e.getMessage());
+        }
+        
+        return "";
+    }
+}

src/main/java/gc/mda/signal_batch/domain/vessel/dto/CompactVesselTrack.java

@@ -0,0 +1,48 @@
+package gc.mda.signal_batch.domain.vessel.dto;
+
+import com.fasterxml.jackson.annotation.JsonInclude;
+import com.fasterxml.jackson.annotation.JsonProperty;
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.util.List;
+/**
+ * 압축된 선박 궤적 데이터 전송용 DTO
+ * LineStringM 대신 단순 배열로 전송하여 프론트엔드 파싱 부하 제거
+ */
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+@JsonInclude(JsonInclude.Include.NON_NULL)
+public class CompactVesselTrack {
+    private String vesselId;           // sig_src_cd + "_" + target_id
+    private String sigSrcCd;
+    private String targetId;
+    private String nationalCode;       // National code based on sigSrcCd and targetId
+    
+    // 궤적 데이터 (배열 형태)
+    private List<double[]> geometry;   // [[lon, lat], ...]
+    
+    // MIGRATION_V2: 호환성을 위해 모두 String으로 처리
+    @JsonProperty("timestamps")
+    private List<String> timestamps;   // String 리스트 (Unix timestamp도 String으로 변환)
+    
+    private List<Double> speeds;       // [12.5, 13.2, ...]
+    
+    // 메타데이터
+    private Double totalDistance;      // 전체 이동거리 (nm)
+    private Double avgSpeed;           // 평균속도 (knots)
+    private Double maxSpeed;           // 최대속도 (knots)
+    private Integer pointCount;        // 포인트 수
+    
+    // 선박 정보
+    private String shipName;           // 선명
+    private String shipType;           // 선종
+    private String shipKindCode;       // 선박 종류 코드
+
+    // 통합선박 정보
+    private String integrationTargetId; // 통합선박 ID (형식: AIS_ENAV_VPASS_VTS-AIS_D-MF/HF)
+}

src/main/java/gc/mda/signal_batch/domain/vessel/dto/IntegrationVessel.java

@@ -0,0 +1,78 @@
+package gc.mda.signal_batch.domain.vessel.dto;
+
+import gc.mda.signal_batch.global.util.IntegrationSignalConstants;
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+/**
+ * 통합선박 정보 DTO
+ * gis.t_ship_integration_sub 테이블 매핑
+ */
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+public class IntegrationVessel {
+
+    private Long intgrSeq;
+    private String ais;
+    private String enav;
+    private String vpass;
+    private String vtsAis;
+    private String dMfHf;
+    private String aisShipNm;
+    private String enavShipNm;
+    private String vpassShipNm;
+    private String vtsAisShipNm;
+    private String dMfHfShipNm;
+    private String integrationShipTy;
+
+    /**
+     * integration_target_id 생성
+     */
+    public String generateIntegrationId() {
+        return IntegrationSignalConstants.generateIntegrationId(
+                ais, enav, vpass, vtsAis, dMfHf
+        );
+    }
+
+    /**
+     * 신호 타입에 해당하는 target_id 반환
+     */
+    public String getTargetIdBySignalType(IntegrationSignalConstants.SignalType signalType) {
+        if (signalType == null) return null;
+
+        return switch (signalType) {
+            case AIS -> ais;
+            case E_NAVIGATION -> enav;
+            case VPASS -> vpass;
+            case VTS_AIS -> vtsAis;
+            case D_MF_HF -> dMfHf;
+        };
+    }
+
+    /**
+     * 신호 타입에 해당하는 선박명 반환
+     */
+    public String getShipNameBySignalType(IntegrationSignalConstants.SignalType signalType) {
+        if (signalType == null) return null;
+
+        return switch (signalType) {
+            case AIS -> aisShipNm;
+            case E_NAVIGATION -> enavShipNm;
+            case VPASS -> vpassShipNm;
+            case VTS_AIS -> vtsAisShipNm;
+            case D_MF_HF -> dMfHfShipNm;
+        };
+    }
+
+    /**
+     * 해당 신호 타입의 데이터가 존재하는지 확인
+     */
+    public boolean hasSignalType(IntegrationSignalConstants.SignalType signalType) {
+        String targetId = getTargetIdBySignalType(signalType);
+        return targetId != null && !"0".equals(targetId) && !targetId.isEmpty();
+    }
+}

src/main/java/gc/mda/signal_batch/domain/vessel/dto/RecentVesselPositionDto.java

@@ -0,0 +1,52 @@
+package gc.mda.signal_batch.domain.vessel.dto;
+
+import com.fasterxml.jackson.annotation.JsonFormat;
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.math.BigDecimal;
+import java.time.LocalDateTime;
+
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+@Schema(description = "최근 위치 업데이트된 선박 정보")
+public class RecentVesselPositionDto {
+    @Schema(description = "신호원 코드", example = "000001")
+    private String sigSrcCd;
+    
+    @Schema(description = "대상 ID", example = "440331240")
+    private String targetId;
+    
+    @Schema(description = "경도", example = "126.9779")
+    private Double lon;
+    
+    @Schema(description = "위도", example = "37.5665")
+    private Double lat;
+    
+    @Schema(description = "대지속도 (knots)", example = "12.5")
+    private BigDecimal sog;
+    
+    @Schema(description = "대지침로 (도)", example = "180.0")
+    private BigDecimal cog;
+    
+    @Schema(description = "선박명", example = "SEOM SARANG 11")
+    private String shipNm;
+    
+    @Schema(description = "선박 유형", example = "60")
+    private String shipTy;
+    
+    @Schema(description = "선박 종류 코드", example = "000022")
+    private String shipKindCode;
+    
+    @Schema(description = "국가 코드", example = "440")
+    private String nationalCode;
+    
+    @Schema(description = "최종 업데이트 시간", example = "2025-08-28 15:30:00")
+    @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss")
+    private LocalDateTime lastUpdate;
+}

src/main/java/gc/mda/signal_batch/domain/vessel/dto/TrackResponse.java

@@ -0,0 +1,36 @@
+package gc.mda.signal_batch.domain.vessel.dto;
+
+import com.fasterxml.jackson.annotation.JsonProperty;
+import lombok.Builder;
+import lombok.Data;
+
+import java.math.BigDecimal;
+import java.time.LocalDateTime;
+
+@Data
+@Builder
+public class TrackResponse {
+    @JsonProperty("sig_src_cd")
+    private String sigSrcCd;
+    
+    @JsonProperty("target_id")
+    private String targetId;
+    
+    @JsonProperty("track_geom")
+    private String trackGeom; // WKT format
+    
+    @JsonProperty("distance_nm")
+    private BigDecimal distanceNm;
+    
+    @JsonProperty("avg_speed")
+    private BigDecimal avgSpeed;
+    
+    @JsonProperty("max_speed")
+    private BigDecimal maxSpeed;
+    
+    @JsonProperty("point_count")
+    private Integer pointCount;
+    
+    @JsonProperty("time_bucket")
+    private LocalDateTime timeBucket;
+}

src/main/java/gc/mda/signal_batch/domain/vessel/dto/VesselStatsResponse.java

@@ -0,0 +1,23 @@
+package gc.mda.signal_batch.domain.vessel.dto;
+
+import com.fasterxml.jackson.annotation.JsonProperty;
+import lombok.Builder;
+import lombok.Data;
+
+import java.math.BigDecimal;
+
+@Data
+@Builder
+public class VesselStatsResponse {
+    @JsonProperty("vessel_count")
+    private Integer vesselCount;
+    
+    @JsonProperty("total_distance")
+    private BigDecimal totalDistance;
+    
+    @JsonProperty("avg_speed")
+    private BigDecimal avgSpeed;
+    
+    @JsonProperty("active_tracks")
+    private Integer activeTracks;
+}

src/main/java/gc/mda/signal_batch/domain/vessel/dto/VesselTracksRequest.java

@@ -0,0 +1,36 @@
+package gc.mda.signal_batch.domain.vessel.dto;
+
+import lombok.Data;
+import lombok.Builder;
+import lombok.AllArgsConstructor;
+import lombok.NoArgsConstructor;
+
+import java.time.LocalDateTime;
+import java.util.List;
+
+@Data
+@Builder
+@AllArgsConstructor
+@NoArgsConstructor
+public class VesselTracksRequest {
+    private LocalDateTime startTime;
+    private LocalDateTime endTime;
+    private List<VesselIdentifier> vessels;
+
+    /**
+     * 통합선박신호 모드
+     * "0": 기본 모드 - 전체 항적 반환 (기본값)
+     * "1": 통합 모드 - 동일 선박의 여러 신호 중 최고 우선순위만 반환
+     */
+    @Builder.Default
+    private String isIntegration = "0";
+    
+    @Data
+    @Builder
+    @AllArgsConstructor
+    @NoArgsConstructor
+    public static class VesselIdentifier {
+        private String sigSrcCd;
+        private String targetId;
+    }
+}

src/main/java/gc/mda/signal_batch/domain/vessel/model/VesselData.java

@@ -0,0 +1,48 @@
+package gc.mda.signal_batch.domain.vessel.model;
+
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.math.BigDecimal;
+import java.time.LocalDateTime;
+
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+public class VesselData {
+    private LocalDateTime messageTime;
+    private LocalDateTime realTime;
+    private String sigSrcCd;
+    private String targetId;
+    private Double lat;
+    private Double lon;
+    private BigDecimal sog;
+    private BigDecimal cog;
+    private Integer heading;
+    private String shipNm;
+    private String shipTy;
+    private Integer rot;
+    private Integer posacc;
+    private String sensorId;
+    private String baseStId;
+    private Integer mode;
+    private Integer gpsSttus;
+    private Integer batterySttus;
+    private String vtsCd;
+    private String mmsi;
+    private String vpassId;
+    private String shipNo;
+
+    public String getVesselKey() {
+        return sigSrcCd + "_" + targetId;
+    }
+
+    public boolean isValidPosition() {
+        return lat != null && lon != null &&
+                lat >= -90 && lat <= 90 &&
+                lon >= -180 && lon <= 180;
+    }
+}

src/main/java/gc/mda/signal_batch/domain/vessel/model/VesselLatestPosition.java

@@ -0,0 +1,46 @@
+package gc.mda.signal_batch.domain.vessel.model;
+
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.math.BigDecimal;
+import java.time.LocalDateTime;
+
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+public class VesselLatestPosition {
+    private String sigSrcCd;
+    private String targetId;
+    private Double lat;
+    private Double lon;
+    private String geomWkt;
+    private BigDecimal sog;
+    private BigDecimal cog;
+    private Integer heading;
+    private String shipNm;
+    private String shipTy;
+    private LocalDateTime lastUpdate;
+    private Long updateCount;
+    private LocalDateTime createdAt;
+
+    public static VesselLatestPosition fromVesselData(VesselData data) {
+        return VesselLatestPosition.builder()
+                .sigSrcCd(data.getSigSrcCd())
+                .targetId(data.getTargetId())
+                .lat(data.getLat())
+                .lon(data.getLon())
+                .geomWkt(String.format("POINT(%f %f)", data.getLon(), data.getLat()))
+                .sog(data.getSog())
+                .cog(data.getCog())
+                .heading(data.getHeading())
+                .shipNm(data.getShipNm())
+                .shipTy(data.getShipTy())
+                .lastUpdate(data.getMessageTime())
+                .updateCount(1L)
+                .build();
+    }
+}

src/main/java/gc/mda/signal_batch/domain/vessel/model/VesselTrack.java

@@ -0,0 +1,116 @@
+package gc.mda.signal_batch.domain.vessel.model;
+
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.io.Serializable;
+import java.math.BigDecimal;
+import java.time.LocalDateTime;
+import java.util.List;
+
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+public class VesselTrack implements Serializable {
+    private static final long serialVersionUID = 1L;
+    
+    // 기본 식별자
+    private String sigSrcCd;
+    private String targetId;
+    private LocalDateTime timeBucket;
+    
+    // 궤적 정보
+    private List<TrackPoint> trackPoints;
+    private String trackGeom;  // MIGRATION_V2: PostGIS LineStringM WKT format (unix timestamp)
+    private BigDecimal distanceNm;  // 이동 거리 (해리)
+    private BigDecimal avgSpeed;
+    private BigDecimal maxSpeed;
+    private Integer pointCount;
+    
+    // 시작/종료 위치
+    private TrackPosition startPosition;
+    private TrackPosition endPosition;
+    
+    // 해구/구역 정보 (선택적)
+    private Integer haeguNo;
+    private String areaId;
+    private LocalDateTime entryTime;
+    private LocalDateTime exitTime;
+    
+    private LocalDateTime createdAt;
+    
+    @Data
+    @Builder
+    @NoArgsConstructor
+    @AllArgsConstructor
+    public static class TrackPoint implements Serializable {
+        private LocalDateTime time;
+        private Double lat;
+        private Double lon;
+        private BigDecimal sog;
+        private BigDecimal cog;
+        private Integer heading;
+    }
+    
+    @Data
+    @Builder
+    @NoArgsConstructor
+    @AllArgsConstructor
+    public static class TrackPosition implements Serializable {
+        private Double lat;
+        private Double lon;
+        private LocalDateTime time;
+        private BigDecimal sog;
+    }
+    
+    @Data
+    @Builder
+    @NoArgsConstructor
+    @AllArgsConstructor
+    public static class VesselKey implements Serializable {
+        private String sigSrcCd;
+        private String targetId;
+        private LocalDateTime timeBucket;
+    }
+    
+    public String getVesselKey() {
+        return sigSrcCd + "_" + targetId;
+    }
+    
+    public boolean hasValidTrack() {
+        return trackPoints != null && trackPoints.size() >= 1;  // 1개 이상이면 유효
+    }
+    
+    // 거리 계산 (Haversine formula)
+    public BigDecimal calculateDistance() {
+        if (!hasValidTrack()) {
+            return BigDecimal.ZERO;
+        }
+        
+        double totalDistance = 0.0;
+        for (int i = 1; i < trackPoints.size(); i++) {
+            TrackPoint prev = trackPoints.get(i - 1);
+            TrackPoint curr = trackPoints.get(i);
+            totalDistance += calculateDistanceBetweenPoints(
+                prev.getLat(), prev.getLon(),
+                curr.getLat(), curr.getLon()
+            );
+        }
+        
+        return BigDecimal.valueOf(totalDistance).setScale(2, BigDecimal.ROUND_HALF_UP);
+    }
+    
+    private double calculateDistanceBetweenPoints(double lat1, double lon1, double lat2, double lon2) {
+        final double R = 3440.065; // 지구 반경 (해리)
+        double dLat = Math.toRadians(lat2 - lat1);
+        double dLon = Math.toRadians(lon2 - lon1);
+        double a = Math.sin(dLat/2) * Math.sin(dLat/2) +
+                Math.cos(Math.toRadians(lat1)) * Math.cos(Math.toRadians(lat2)) *
+                Math.sin(dLon/2) * Math.sin(dLon/2);
+        double c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1-a));
+        return R * c;
+    }
+}

src/main/java/gc/mda/signal_batch/domain/vessel/service/IntegrationVesselService.java

@@ -0,0 +1,233 @@
+package gc.mda.signal_batch.domain.vessel.service;
+
+import gc.mda.signal_batch.domain.vessel.dto.IntegrationVessel;
+import gc.mda.signal_batch.global.util.IntegrationSignalConstants;
+import gc.mda.signal_batch.global.util.IntegrationSignalConstants.SignalType;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.scheduling.annotation.Scheduled;
+import org.springframework.stereotype.Service;
+
+import javax.sql.DataSource;
+import java.util.*;
+import java.util.concurrent.ConcurrentHashMap;
+import java.util.concurrent.atomic.AtomicBoolean;
+
+/**
+ * 통합선박 정보 서비스
+ * 글로벌 캐시를 통한 통합선박 정보 관리
+ */
+@Slf4j
+@Service
+public class IntegrationVesselService {
+
+    private final DataSource queryDataSource;
+
+    @Value("${vessel.integration.enabled:true}")
+    private boolean integrationEnabled;
+
+    // 글로벌 캐시 (키: "sig_src_cd_target_id")
+    private final Map<String, IntegrationVessel> integrationCache = new ConcurrentHashMap<>();
+
+    // 캐시 로드 상태
+    private final AtomicBoolean cacheLoaded = new AtomicBoolean(false);
+
+    public IntegrationVesselService(@Qualifier("queryDataSource") DataSource queryDataSource) {
+        this.queryDataSource = queryDataSource;
+    }
+
+    /**
+     * 통합선박 기능 활성화 여부
+     */
+    public boolean isEnabled() {
+        return integrationEnabled;
+    }
+
+    /**
+     * 스케줄 갱신 (기본: 매일 03:00)
+     */
+    @Scheduled(cron = "${vessel.integration.cache.refresh-cron:0 0 3 * * ?}")
+    public void scheduledRefresh() {
+        if (!integrationEnabled) {
+            log.debug("Integration feature is disabled, skipping scheduled refresh");
+            return;
+        }
+        log.info("Scheduled integration cache refresh started");
+        loadCacheFromDB();
+    }
+
+    /**
+     * 단일 선박 통합정보 조회 (캐시에서)
+     */
+    public IntegrationVessel findByVessel(String sigSrcCd, String targetId) {
+        if (!integrationEnabled) {
+            return null;
+        }
+        ensureCacheLoaded();
+        return integrationCache.get(sigSrcCd + "_" + targetId);
+    }
+
+    /**
+     * 다중 선박 통합정보 조회 (캐시에서)
+     *
+     * @param vesselKeys Set of "sig_src_cd_target_id" format
+     * @return Map of vesselKey -> IntegrationVessel
+     */
+    public Map<String, IntegrationVessel> findByVessels(Set<String> vesselKeys) {
+        if (!integrationEnabled) {
+            return new HashMap<>();
+        }
+        ensureCacheLoaded();
+
+        Map<String, IntegrationVessel> result = new HashMap<>();
+        for (String key : vesselKeys) {
+            IntegrationVessel vessel = integrationCache.get(key);
+            if (vessel != null) {
+                result.put(key, vessel);
+            }
+        }
+        return result;
+    }
+
+    /**
+     * 존재하는 신호들 중 최고 우선순위 선택
+     *
+     * @param existingSigSrcCds 존재하는 sig_src_cd 집합
+     * @return 최고 우선순위 sig_src_cd
+     */
+    public String selectHighestPriorityFromExisting(Set<String> existingSigSrcCds) {
+        for (String sigSrcCd : IntegrationSignalConstants.PRIORITY_ORDER) {
+            if (existingSigSrcCds.contains(sigSrcCd)) {
+                return sigSrcCd;
+            }
+        }
+        // fallback: 아무거나 반환
+        return existingSigSrcCds.isEmpty() ? null : existingSigSrcCds.iterator().next();
+    }
+
+    /**
+     * 통합선박에서 최고 우선순위 신호 타입 반환
+     * (통합테이블에 등록된 신호 중)
+     */
+    public SignalType getHighestPrioritySignalType(IntegrationVessel vessel) {
+        for (String sigSrcCd : IntegrationSignalConstants.PRIORITY_ORDER) {
+            SignalType type = SignalType.fromSigSrcCd(sigSrcCd);
+            if (type != null && vessel.hasSignalType(type)) {
+                return type;
+            }
+        }
+        return null;
+    }
+
+    /**
+     * 캐시 수동 갱신 API
+     */
+    public void refreshCache() {
+        log.info("Manual integration cache refresh requested");
+        loadCacheFromDB();
+    }
+
+    /**
+     * 캐시 상태 조회
+     */
+    public Map<String, Object> getCacheStatus() {
+        Map<String, Object> status = new HashMap<>();
+        status.put("enabled", integrationEnabled);
+        status.put("loaded", cacheLoaded.get());
+        status.put("size", integrationCache.size());
+        return status;
+    }
+
+    /**
+     * 캐시가 비어있으면 즉시 로드 (Fallback)
+     */
+    private void ensureCacheLoaded() {
+        if (!cacheLoaded.get() || integrationCache.isEmpty()) {
+            synchronized (this) {
+                if (!cacheLoaded.get() || integrationCache.isEmpty()) {
+                    log.info("Integration cache is empty, loading from DB (fallback)...");
+                    loadCacheFromDB();
+                }
+            }
+        }
+    }
+
+    /**
+     * DB에서 전체 통합선박 정보 로드
+     */
+    private void loadCacheFromDB() {
+        long startTime = System.currentTimeMillis();
+
+        try {
+            JdbcTemplate jdbcTemplate = new JdbcTemplate(queryDataSource);
+
+            String sql = """
+                SELECT intgr_seq, ais, enav, vpass, vts_ais, d_mf_hf,
+                       ais_ship_nm, enav_ship_nm, vpass_ship_nm, vts_ais_ship_nm, d_mf_hf_ship_nm,
+                       integration_ship_ty
+                FROM gis.t_ship_integration_sub
+                """;
+
+            List<IntegrationVessel> vessels = jdbcTemplate.query(sql, (rs, rowNum) ->
+                    IntegrationVessel.builder()
+                            .intgrSeq(rs.getLong("intgr_seq"))
+                            .ais(rs.getString("ais"))
+                            .enav(rs.getString("enav"))
+                            .vpass(rs.getString("vpass"))
+                            .vtsAis(rs.getString("vts_ais"))
+                            .dMfHf(rs.getString("d_mf_hf"))
+                            .aisShipNm(rs.getString("ais_ship_nm"))
+                            .enavShipNm(rs.getString("enav_ship_nm"))
+                            .vpassShipNm(rs.getString("vpass_ship_nm"))
+                            .vtsAisShipNm(rs.getString("vts_ais_ship_nm"))
+                            .dMfHfShipNm(rs.getString("d_mf_hf_ship_nm"))
+                            .integrationShipTy(rs.getString("integration_ship_ty"))
+                            .build()
+            );
+
+            // 캐시 초기화 및 재구성
+            Map<String, IntegrationVessel> newCache = new ConcurrentHashMap<>();
+
+            for (IntegrationVessel vessel : vessels) {
+                // 각 신호 타입별로 키 생성하여 캐시에 저장
+                if (isValidTargetId(vessel.getAis())) {
+                    newCache.put("000001_" + vessel.getAis(), vessel);
+                }
+                if (isValidTargetId(vessel.getEnav())) {
+                    newCache.put("000002_" + vessel.getEnav(), vessel);
+                }
+                if (isValidTargetId(vessel.getVpass())) {
+                    newCache.put("000003_" + vessel.getVpass(), vessel);
+                }
+                if (isValidTargetId(vessel.getVtsAis())) {
+                    newCache.put("000004_" + vessel.getVtsAis(), vessel);
+                }
+                if (isValidTargetId(vessel.getDMfHf())) {
+                    newCache.put("000016_" + vessel.getDMfHf(), vessel);
+                }
+            }
+
+            // 기존 캐시를 새 캐시로 교체
+            integrationCache.clear();
+            integrationCache.putAll(newCache);
+            cacheLoaded.set(true);
+
+            long elapsed = System.currentTimeMillis() - startTime;
+            log.info("Integration cache loaded successfully: {} vessels, {} cache entries in {}ms",
+                    vessels.size(), integrationCache.size(), elapsed);
+
+        } catch (Exception e) {
+            log.error("Failed to load integration cache from DB", e);
+            // 실패해도 기존 캐시 유지
+        }
+    }
+
+    /**
+     * 유효한 target_id인지 확인
+     */
+    private boolean isValidTargetId(String targetId) {
+        return targetId != null && !"0".equals(targetId) && !targetId.isEmpty();
+    }
+}

src/main/java/gc/mda/signal_batch/domain/vessel/service/VesselLatestPositionCache.java

@@ -0,0 +1,210 @@
+package gc.mda.signal_batch.domain.vessel.service;
+
+import com.github.benmanes.caffeine.cache.Cache;
+import gc.mda.signal_batch.domain.vessel.dto.RecentVesselPositionDto;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.cache.CacheManager;
+import org.springframework.cache.caffeine.CaffeineCache;
+import org.springframework.stereotype.Service;
+
+import java.time.LocalDateTime;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.concurrent.ConcurrentMap;
+
+/**
+ * 선박 최신 위치 정보 캐시 관리 서비스
+ *
+ * 캐시 구조:
+ * - Key: "{sigSrcCd}:{targetId}" (예: "000001:440123456")
+ * - Value: RecentVesselPositionDto
+ * - TTL: 60분 (CacheConfig에서 설정)
+ *
+ * 데이터 흐름:
+ * 1. VesselPositionCacheRefreshScheduler가 1분마다 refreshCache() 호출
+ * 2. DB에서 최근 1분치 데이터 조회
+ * 3. 캐시에 업데이트 (기존 데이터는 TTL로 자동 만료)
+ * 4. API 요청 시 getFilteredPositions()로 minutes 파라미터 기준 필터링
+ */
+@Slf4j
+@Service
+@RequiredArgsConstructor
+public class VesselLatestPositionCache {
+
+    private final CacheManager cacheManager;
+
+    private static final String CACHE_NAME = "vesselLatestPositions";
+
+    /**
+     * 캐시 키 생성
+     */
+    private String createKey(String sigSrcCd, String targetId) {
+        return sigSrcCd + ":" + targetId;
+    }
+
+    /**
+     * 단일 선박 위치 캐시 저장
+     */
+    public void put(RecentVesselPositionDto position) {
+        if (position == null || position.getSigSrcCd() == null || position.getTargetId() == null) {
+            log.warn("Invalid position data, skipping cache: {}", position);
+            return;
+        }
+
+        String key = createKey(position.getSigSrcCd(), position.getTargetId());
+        getCache().put(key, position);
+    }
+
+    /**
+     * 여러 선박 위치 일괄 캐시 저장
+     */
+    public void putAll(List<RecentVesselPositionDto> positions) {
+        if (positions == null || positions.isEmpty()) {
+            log.debug("No positions to cache");
+            return;
+        }
+
+        // 갱신 전 캐시 크기
+        int sizeBefore = getCacheSize();
+
+        int count = 0;
+        for (RecentVesselPositionDto position : positions) {
+            if (position.getSigSrcCd() != null && position.getTargetId() != null) {
+                put(position);
+                count++;
+            }
+        }
+
+        // 갱신 후 캐시 크기
+        int sizeAfter = getCacheSize();
+        int delta = sizeAfter - sizeBefore;
+        String deltaStr = delta >= 0 ? "+" + delta : String.valueOf(delta);
+
+        log.info("Cached {} vessel positions (Total: {} vessels, Delta: {})",
+                count, sizeAfter, deltaStr);
+    }
+
+    /**
+     * 캐시에서 지정된 시간 범위 내의 선박 위치 조회 (API 요청용)
+     *
+     * @param minutes 현재 시간 기준 조회할 시간 범위 (분 단위)
+     * @return 필터링된 선박 위치 목록
+     */
+    public List<RecentVesselPositionDto> getFilteredPositions(int minutes) {
+        LocalDateTime threshold = LocalDateTime.now().minusMinutes(minutes);
+        List<RecentVesselPositionDto> result = new ArrayList<>();
+
+        ConcurrentMap<Object, Object> nativeCache = getNativeCache();
+        if (nativeCache == null || nativeCache.isEmpty()) {
+            log.debug("Cache is empty, returning empty list");
+            return result;
+        }
+
+        int totalCached = 0;
+        int filtered = 0;
+
+        for (Map.Entry<Object, Object> entry : nativeCache.entrySet()) {
+            totalCached++;
+
+            if (entry.getValue() instanceof RecentVesselPositionDto position) {
+                // lastUpdate가 threshold 이후인 데이터만 포함
+                if (position.getLastUpdate() != null &&
+                        position.getLastUpdate().isAfter(threshold)) {
+                    result.add(position);
+                    filtered++;
+                }
+            }
+        }
+
+        log.debug("Cache filter result: total={}, filtered={}, minutes={}",
+                totalCached, filtered, minutes);
+
+        return result;
+    }
+
+    /**
+     * 캐시 전체 삭제
+     */
+    public void clear() {
+        org.springframework.cache.Cache cache = getCache();
+        if (cache != null) {
+            cache.clear();
+            log.info("Cache cleared");
+        }
+    }
+
+    /**
+     * 캐시 통계 정보 조회
+     */
+    public CacheStats getStats() {
+        Cache<Object, Object> caffeineCache = getCaffeineCache();
+        if (caffeineCache == null) {
+            return new CacheStats(0, 0, 0.0, 0.0, 0L, 0L);
+        }
+
+        com.github.benmanes.caffeine.cache.stats.CacheStats stats = caffeineCache.stats();
+        ConcurrentMap<Object, Object> nativeCache = getNativeCache();
+        int size = nativeCache != null ? nativeCache.size() : 0;
+
+        return new CacheStats(
+                size,
+                caffeineCache.estimatedSize(),
+                stats.hitRate() * 100,
+                stats.missRate() * 100,
+                stats.hitCount(),
+                stats.missCount()
+        );
+    }
+
+    /**
+     * Spring Cache 객체 가져오기
+     */
+    private org.springframework.cache.Cache getCache() {
+        return cacheManager.getCache(CACHE_NAME);
+    }
+
+    /**
+     * Caffeine Cache 네이티브 객체 가져오기
+     */
+    private Cache<Object, Object> getCaffeineCache() {
+        org.springframework.cache.Cache cache = getCache();
+        if (cache instanceof CaffeineCache caffeineCache) {
+            return caffeineCache.getNativeCache();
+        }
+        return null;
+    }
+
+    /**
+     * ConcurrentMap 가져오기 (필터링용)
+     */
+    private ConcurrentMap<Object, Object> getNativeCache() {
+        Cache<Object, Object> caffeineCache = getCaffeineCache();
+        if (caffeineCache != null) {
+            return caffeineCache.asMap();
+        }
+        return null;
+    }
+
+    /**
+     * 현재 캐시 크기 조회
+     */
+    private int getCacheSize() {
+        ConcurrentMap<Object, Object> nativeCache = getNativeCache();
+        return nativeCache != null ? nativeCache.size() : 0;
+    }
+
+    /**
+     * 캐시 통계 정보 DTO
+     */
+    public record CacheStats(
+            int currentSize,
+            long estimatedSize,
+            double hitRate,
+            double missRate,
+            long hitCount,
+            long missCount
+    ) {
+    }
+}

src/main/java/gc/mda/signal_batch/domain/vessel/service/VesselPositionService.java

@@ -0,0 +1,146 @@
+package gc.mda.signal_batch.domain.vessel.service;
+
+import gc.mda.signal_batch.domain.vessel.dto.RecentVesselPositionDto;
+import gc.mda.signal_batch.global.util.ShipKindCodeConverter;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.jdbc.core.RowMapper;
+import org.springframework.stereotype.Service;
+
+import java.math.BigDecimal;
+import java.sql.ResultSet;
+import java.sql.SQLException;
+import java.time.LocalDateTime;
+import java.util.List;
+
+@Slf4j
+@Service
+@RequiredArgsConstructor
+public class VesselPositionService {
+
+    @Qualifier("queryJdbcTemplate")
+    private final JdbcTemplate queryJdbcTemplate;
+
+    // 캐시 서비스 (선택적 의존성 - 활성화 시에만 주입)
+    @Autowired(required = false)
+    private VesselLatestPositionCache cache;
+
+    /**
+     * 최근 위치 업데이트된 선박 조회
+     *
+     * 조회 전략:
+     * 1. 캐시 활성화 시: 메모리 캐시에서 조회 (빠른 응답)
+     * 2. 캐시 비활성화/실패 시: DB에서 직접 조회 (기존 로직)
+     *
+     * @param minutes 조회할 시간 범위 (분 단위)
+     * @return 필터링된 선박 위치 목록
+     */
+    public List<RecentVesselPositionDto> getRecentVesselPositions(int minutes) {
+        // 캐시 우선 조회
+        if (cache != null) {
+            try {
+                List<RecentVesselPositionDto> cachedResult = cache.getFilteredPositions(minutes);
+
+                if (!cachedResult.isEmpty()) {
+                    log.debug("Cache hit: returned {} vessels for minutes={}", cachedResult.size(), minutes);
+                    return cachedResult;
+                } else {
+                    log.debug("Cache returned empty result, falling back to DB query");
+                }
+            } catch (Exception e) {
+                log.warn("Cache query failed, falling back to DB: {}", e.getMessage());
+            }
+        }
+
+        // 캐시 미사용 또는 실패 시 DB 조회 (기존 로직)
+        return getRecentVesselPositionsFromDB(minutes);
+    }
+
+    /**
+     * DB에서 직접 조회 (기존 로직 유지 - Fallback)
+     */
+    private List<RecentVesselPositionDto> getRecentVesselPositionsFromDB(int minutes) {
+        log.debug("Querying DB for vessel positions (cache miss or disabled)");
+
+        // 디버깅을 위해 DB 현재 시간과 임계값 시간 확인
+        if (log.isDebugEnabled()) {
+            String debugSql = """
+                SELECT
+                    NOW() as db_now,
+                    NOW() - INTERVAL '%d minutes' as threshold_time,
+                    (SELECT MAX(last_update) FROM signal.t_vessel_latest_position) as max_last_update,
+                    (SELECT COUNT(*) FROM signal.t_vessel_latest_position WHERE last_update >= NOW() - INTERVAL '%d minutes') as matching_count
+                """.formatted(minutes, minutes);
+
+            queryJdbcTemplate.query(debugSql, rs -> {
+                log.debug("DB NOW: {}", rs.getTimestamp("db_now"));
+                log.debug("Threshold time (NOW - {} min): {}", minutes, rs.getTimestamp("threshold_time"));
+                log.debug("Max last_update in table: {}", rs.getTimestamp("max_last_update"));
+                log.debug("Count matching time condition: {}", rs.getInt("matching_count"));
+            });
+        }
+
+        String sql = """
+            SELECT
+                sig_src_cd,
+                target_id,
+                lon,
+                lat,
+                sog,
+                cog,
+                ship_nm,
+                ship_ty,
+                last_update
+            FROM signal.t_vessel_latest_position
+            WHERE last_update >= NOW() - INTERVAL '%d minutes'
+            AND sig_src_cd NOT IN ('000004', '000005')
+            ORDER BY last_update DESC
+            """.formatted(minutes);
+
+        log.info("Fetching vessel positions from DB within {} minutes", minutes);
+
+        List<RecentVesselPositionDto> results = queryJdbcTemplate.query(sql, new VesselPositionRowMapper());
+
+        log.info("Found {} vessels from DB within {} minutes", results.size(), minutes);
+
+        return results;
+    }
+    
+    private static class VesselPositionRowMapper implements RowMapper<RecentVesselPositionDto> {
+        @Override
+        public RecentVesselPositionDto mapRow(ResultSet rs, int rowNum) throws SQLException {
+            String sigSrcCd = rs.getString("sig_src_cd");
+            String targetId = rs.getString("target_id");
+            String shipTy = rs.getString("ship_ty");
+            
+            // shipKindCode 계산
+            String shipKindCode = ShipKindCodeConverter.getShipKindCode(sigSrcCd, shipTy);
+            
+            // nationalCode 계산
+            String nationalCode;
+            if ("000001".equals(sigSrcCd) && targetId != null && targetId.length() >= 3) {
+                nationalCode = targetId.substring(0, 3);
+            } else {
+                nationalCode = "440"; // 기본값
+            }
+            
+            return RecentVesselPositionDto.builder()
+                    .sigSrcCd(sigSrcCd)
+                    .targetId(targetId)
+                    .lon(rs.getDouble("lon"))
+                    .lat(rs.getDouble("lat"))
+                    .sog(rs.getBigDecimal("sog"))
+                    .cog(rs.getBigDecimal("cog"))
+                    .shipNm(rs.getString("ship_nm"))
+                    .shipTy(shipTy)
+                    .shipKindCode(shipKindCode)
+                    .nationalCode(nationalCode)
+                    .lastUpdate(rs.getTimestamp("last_update") != null ? 
+                               rs.getTimestamp("last_update").toLocalDateTime() : null)
+                    .build();
+        }
+    }
+}

src/main/java/gc/mda/signal_batch/domain/vessel/service/VesselTrackMerger.java

@@ -0,0 +1,395 @@
+package gc.mda.signal_batch.domain.vessel.service;
+
+import gc.mda.signal_batch.global.websocket.dto.MergedVesselTrack;
+import gc.mda.signal_batch.global.websocket.dto.VesselTrackData;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.stereotype.Component;
+
+import java.time.Duration;
+import java.time.LocalDateTime;
+import java.util.*;
+import java.util.stream.Collectors;
+
+/**
+ * 선박 궤적 병합 서비스
+ */
+@Slf4j
+@Component
+@RequiredArgsConstructor
+public class VesselTrackMerger {
+    
+    private final JdbcTemplate queryJdbcTemplate;
+    
+    @Value("${batch.track.abnormal-detection.enable-merger-filtering:false}")
+    private boolean enableMergerFiltering;
+    
+    @Value("${batch.track.abnormal-detection.large-gap-threshold-hours:6}")
+    private int largeGapThresholdHours;
+    
+    /**
+     * 선박별로 궤적 데이터를 병합
+     */
+    public List<MergedVesselTrack> mergeTracksByVessel(List<VesselTrackData> tracks) {
+        // 선박별로 그룹화
+        Map<String, List<VesselTrackData>> vesselGroups = tracks.stream()
+            .collect(Collectors.groupingBy(t -> t.getSigSrcCd() + "_" + t.getTargetId()));
+        
+        log.info("Merging tracks for {} vessels from {} segments", 
+                vesselGroups.size(), tracks.size());
+        
+        List<MergedVesselTrack> mergedTracks = new ArrayList<>();
+        
+        for (Map.Entry<String, List<VesselTrackData>> entry : vesselGroups.entrySet()) {
+            try {
+                MergedVesselTrack merged = mergeVesselSegments(entry.getKey(), entry.getValue());
+                if (merged != null) {
+                    mergedTracks.add(merged);
+                }
+            } catch (Exception e) {
+                log.error("Failed to merge tracks for vessel {}: {}", entry.getKey(), e.getMessage());
+            }
+        }
+        
+        log.info("Merged {} vessels successfully", mergedTracks.size());
+        return mergedTracks;
+    }
+    
+    /**
+     * 단일 선박의 세그먼트들을 병합
+     */
+    private MergedVesselTrack mergeVesselSegments(String vesselId, List<VesselTrackData> segments) {
+        if (segments.isEmpty()) {
+            return null;
+        }
+        
+        // 유효한 geometry를 가진 세그먼트만 필터링
+        List<VesselTrackData> validSegments = segments.stream()
+            .filter(s -> s.getTrackGeom() != null 
+                        && !s.getTrackGeom().isEmpty() 
+                        && s.getTrackGeom().startsWith("LINESTRING M")
+                        && !s.getTrackGeom().equals("LINESTRING EMPTY")
+                        && !s.getTrackGeom().equals("GEOMETRYCOLLECTION EMPTY"))
+            .collect(Collectors.toList());
+        
+        if (validSegments.isEmpty()) {
+            log.trace("No valid geometries for vessel {}", vesselId);
+            return null;
+        }
+        
+        // 시간순 정렬
+        validSegments.sort(Comparator.comparing(VesselTrackData::getStartTime));
+        
+        // 큰 시간 간격 필터링 (옵션이 활성화된 경우에만)
+        if (enableMergerFiltering) {
+            validSegments = filterLargeGaps(validSegments, vesselId);
+            if (validSegments.isEmpty()) {
+                log.debug("All segments filtered out due to large gaps for vessel {}", vesselId);
+                return null;
+            }
+        }
+        
+        VesselTrackData firstSegment = validSegments.get(0);
+        
+        // 간단한 병합: 모든 포인트를 시간순으로 연결
+        String mergedGeom = mergeLineStringsSimple(validSegments);
+        
+        // 병합 실패 시 null 반환
+        if (mergedGeom == null) {
+            return null;
+        }
+        
+        LocalDateTime startTime = validSegments.get(0).getStartTime();
+        LocalDateTime endTime = validSegments.get(validSegments.size() - 1).getEndTime() != null ?
+            validSegments.get(validSegments.size() - 1).getEndTime() : validSegments.get(validSegments.size() - 1).getStartTime();
+        
+        // 통계 계산 - 병합된 궤적에서 실제 거리/속도 계산
+        Map<String, Object> stats = calculateMergedTrackStats(mergedGeom, startTime, endTime);
+        double totalDistance = (Double) stats.get("distance");
+        double avgSpeed = (Double) stats.get("avgSpeed");
+        
+        // 기존 방식은 폴백으로 사용
+        if (totalDistance == 0.0) {
+            totalDistance = validSegments.stream()
+                .mapToDouble(VesselTrackData::getDistanceNm)
+                .sum();
+        }
+        
+        int totalPoints = validSegments.stream()
+            .mapToInt(VesselTrackData::getPointCount)
+            .sum();
+        
+        List<String> timeBuckets = validSegments.stream()
+            .map(s -> s.getStartTime().toString())
+            .collect(Collectors.toList());
+        
+        return MergedVesselTrack.builder()
+            .sigSrcCd(firstSegment.getSigSrcCd())
+            .targetId(firstSegment.getTargetId())
+            .nationalCode(gc.mda.signal_batch.global.util.NationalCodeUtil.calculateNationalCode(
+                firstSegment.getSigSrcCd(), firstSegment.getTargetId()))
+            .vesselId(vesselId)
+            .mergedTrackGeom(mergedGeom)
+            .totalDistanceNm(totalDistance)
+            .avgSpeed(avgSpeed)
+            .startTime(startTime)
+            .endTime(endTime)
+            .totalPoints(totalPoints)
+            .timeBuckets(timeBuckets)
+            .build();
+    }
+    
+    /**
+     * 간단한 LineString 병합 (모든 포인트를 시간순으로 연결)
+     */
+    private String mergeLineStringsSimple(List<VesselTrackData> segments) {
+        if (segments.size() == 1) {
+            return segments.get(0).getTrackGeom();
+        }
+        
+        try {
+            // 모든 포인트를 시간순으로 수집
+            List<Point> allPoints = new ArrayList<>();
+            
+            // 첫 번째 세그먼트의 시작 시간을 기준으로 함
+            LocalDateTime baseTime = null;
+            
+            for (VesselTrackData segment : segments) {
+                String geom = segment.getTrackGeom();
+                if (geom == null || !geom.startsWith("LINESTRING M")) {
+                    continue;
+                }
+                
+                // 기준 시간 설정 (첫 번째 유효한 세그먼트)
+                if (baseTime == null) {
+                    baseTime = segment.getStartTime();
+                }
+                
+                // 현재 세그먼트의 시간 오프셋 계산 (초 단위)
+                long segmentOffset = java.time.Duration.between(baseTime, segment.getStartTime()).getSeconds();
+                
+                // geometry 파싱 - 괄호 처리 개선
+                int startIdx = geom.indexOf('(');
+                int endIdx = geom.lastIndexOf(')');
+                if (startIdx == -1 || endIdx == -1) continue;
+                
+                String points = geom.substring(startIdx + 1, endIdx);
+                
+                // 포인트들을 파싱 (쉼표로 분리하되, 괄호 내부는 무시)
+                List<String> pointList = new ArrayList<>();
+                StringBuilder currentPoint = new StringBuilder();
+                int parenDepth = 0;
+                
+                for (char c : points.toCharArray()) {
+                    if (c == '(') parenDepth++;
+                    else if (c == ')') parenDepth--;
+                    else if (c == ',' && parenDepth == 0) {
+                        pointList.add(currentPoint.toString().trim());
+                        currentPoint = new StringBuilder();
+                        continue;
+                    }
+                    currentPoint.append(c);
+                }
+                if (currentPoint.length() > 0) {
+                    pointList.add(currentPoint.toString().trim());
+                }
+                
+                for (String pointStr : pointList) {
+                    String[] coords = pointStr.trim().split("\\s+");
+                    if (coords.length >= 3) {
+                        try {
+                            double lon = Double.parseDouble(coords[0]);
+                            double lat = Double.parseDouble(coords[1]);
+                            double m = Double.parseDouble(coords[2]) + segmentOffset; // 시간 오프셋 추가
+                            allPoints.add(new Point(lon, lat, m));
+                        } catch (NumberFormatException e) {
+                            log.debug("Failed to parse point: {}", pointStr);
+                        }
+                    }
+                }
+            }
+            
+            if (allPoints.isEmpty()) {
+                return null;
+            }
+            
+            // 중복 제거 및 시간순 정렬
+            allPoints = allPoints.stream()
+                .distinct()
+                .sorted(Comparator.comparingDouble(p -> p.m))
+                .collect(Collectors.toList());
+            
+            // 거리 기반 간소화 (5m 미만 이동은 제거)
+            List<Point> simplifiedPoints = simplifyByDistance(allPoints, 5.0);
+            
+            // LineStringM 재구성
+            StringBuilder sb = new StringBuilder("LINESTRING M(");
+            for (int i = 0; i < simplifiedPoints.size(); i++) {
+                if (i > 0) sb.append(", ");
+                Point p = simplifiedPoints.get(i);
+                sb.append(p.lon).append(" ").append(p.lat).append(" ").append(p.m);
+            }
+            sb.append(")");
+            
+            return sb.toString();
+            
+        } catch (Exception e) {
+            log.error("Failed to merge LineStrings: {}", e.getMessage());
+            // 실패 시 첫 번째 세그먼트 반환
+            return segments.get(0).getTrackGeom();
+        }
+    }
+    
+    /**
+     * 거리 기반 간소화
+     */
+    private List<Point> simplifyByDistance(List<Point> points, double minDistanceMeters) {
+        if (points.size() <= 2) {
+            return points;
+        }
+        
+        List<Point> result = new ArrayList<>();
+        result.add(points.get(0)); // 시작점
+        
+        Point lastAdded = points.get(0);
+        
+        for (int i = 1; i < points.size() - 1; i++) {
+            Point current = points.get(i);
+            double distance = calculateDistance(lastAdded.lat, lastAdded.lon, current.lat, current.lon);
+            
+            if (distance >= minDistanceMeters) {
+                result.add(current);
+                lastAdded = current;
+            }
+        }
+        
+        // 마지막 포인트가 포함되지 않았다면 추가 (궤적 끝점 보존)
+        Point lastPoint = points.get(points.size() - 1);
+        if (!result.get(result.size() - 1).equals(lastPoint)) {
+            result.add(lastPoint);
+        }
+        
+        return result;
+    }
+    
+    /**
+     * Haversine 공식으로 두 지점 간 거리 계산 (미터 단위)
+     */
+    private double calculateDistance(double lat1, double lon1, double lat2, double lon2) {
+        final double R = 6371000; // 지구 반지름 (미터)
+        double dLat = Math.toRadians(lat2 - lat1);
+        double dLon = Math.toRadians(lon2 - lon1);
+        double a = Math.sin(dLat / 2) * Math.sin(dLat / 2) +
+                Math.cos(Math.toRadians(lat1)) * Math.cos(Math.toRadians(lat2)) *
+                Math.sin(dLon / 2) * Math.sin(dLon / 2);
+        double c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));
+        return R * c;
+    }
+    
+    /**
+     * 병합된 궤적에서 실제 거리와 평균 속도 계산
+     */
+    private Map<String, Object> calculateMergedTrackStats(String mergedGeom, LocalDateTime startTime, LocalDateTime endTime) {
+        Map<String, Object> stats = new HashMap<>();
+        
+        try {
+            // PostGIS로 실제 거리 계산 (geography로 변환하여 미터 단위 계산)
+            String sql = "SELECT ST_Length(ST_GeomFromText(?::text, 4326)::geography) / 1852.0 as distance_nm";
+            Double distance = queryJdbcTemplate.queryForObject(sql, Double.class, mergedGeom);
+            
+            // 시간차 계산 (초)
+            long seconds = java.time.Duration.between(startTime, endTime).getSeconds();
+            
+            // 평균 속도 계산 (knots)
+            double avgSpeed = 0.0;
+            if (seconds > 0 && distance != null && distance > 0) {
+                avgSpeed = (distance / (seconds / 3600.0));
+            }
+            
+            stats.put("distance", distance != null ? distance : 0.0);
+            stats.put("avgSpeed", avgSpeed);
+            
+        } catch (Exception e) {
+            log.debug("Failed to calculate merged track stats: {}", e.getMessage());
+            stats.put("distance", 0.0);
+            stats.put("avgSpeed", 0.0);
+        }
+        
+        return stats;
+    }
+    
+    /**
+     * 큰 시간 간격의 세그먼트들을 필터링
+     * 성능을 위해 O(n) 시간복잡도로 구현
+     */
+    private List<VesselTrackData> filterLargeGaps(List<VesselTrackData> segments, String vesselId) {
+        if (segments.size() <= 1) {
+            return segments;
+        }
+        
+        List<VesselTrackData> filtered = new ArrayList<>();
+        filtered.add(segments.get(0));
+        
+        int filteredCount = 0;
+        
+        for (int i = 1; i < segments.size(); i++) {
+            VesselTrackData prev = segments.get(i - 1);
+            VesselTrackData curr = segments.get(i);
+            
+            // 이전 세그먼트의 종료 시간과 현재 세그먼트의 시작 시간 간격 계산
+            LocalDateTime prevEndTime = prev.getEndTime() != null ? prev.getEndTime() : prev.getStartTime();
+            LocalDateTime currStartTime = curr.getStartTime();
+            
+            if (prevEndTime != null && currStartTime != null) {
+                long gapHours = Duration.between(prevEndTime, currStartTime).toHours();
+                
+                // 설정된 시간 이상의 gap이면 연결하지 않음
+                if (gapHours >= largeGapThresholdHours) {
+                    filteredCount++;
+                    log.debug("Large gap filtered for vessel {} - gap: {} hours between {} and {}", 
+                            vesselId, gapHours, prevEndTime, currStartTime);
+                    
+                    // 큰 gap 이후의 세그먼트는 새로운 궤적의 시작으로 처리
+                    // 현재는 단순히 제외하지만, 향후 별도 궤적으로 분리할 수 있음
+                    continue;
+                }
+            }
+            
+            filtered.add(curr);
+        }
+        
+        if (filteredCount > 0) {
+            log.info("Filtered {} segments with large gaps for vessel {} (threshold: {} hours)", 
+                    filteredCount, vesselId, largeGapThresholdHours);
+        }
+        
+        return filtered;
+    }
+    
+    /**
+     * 포인트 내부 클래스
+     */
+    private static class Point {
+        final double lon;
+        final double lat;
+        final double m;
+        
+        Point(double lon, double lat, double m) {
+            this.lon = lon;
+            this.lat = lat;
+            this.m = m;
+        }
+        
+        @Override
+        public boolean equals(Object o) {
+            if (this == o) return true;
+            if (o == null || getClass() != o.getClass()) return false;
+            Point point = (Point) o;
+            return Double.compare(point.lon, lon) == 0 &&
+                   Double.compare(point.lat, lat) == 0 &&
+                   Double.compare(point.m, m) == 0;
+        }
+    }
+}

src/main/java/gc/mda/signal_batch/domain/vessel/service/filter/AdvancedTrackFilter.java

@@ -0,0 +1,285 @@
+package gc.mda.signal_batch.domain.vessel.service.filter;
+
+import gc.mda.signal_batch.global.websocket.dto.TrackQueryRequest;
+import gc.mda.signal_batch.global.websocket.dto.ViewportFilter;
+import lombok.Builder;
+import lombok.Data;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.stereotype.Component;
+
+import java.time.LocalDateTime;
+import java.util.*;
+import java.util.stream.Collectors;
+
+@Slf4j
+@Component
+public class AdvancedTrackFilter {
+    
+    /**
+     * SQL WHERE 절 생성
+     */
+    public FilterResult buildWhereClause(TrackQueryRequest request, String tableAlias) {
+        List<String> conditions = new ArrayList<>();
+        Map<String, Object> parameters = new HashMap<>();
+        
+        // 시간 필터
+        conditions.add(String.format("%s.time_bucket >= ?", tableAlias));
+        parameters.put("startTime", request.getStartTime());
+        
+        conditions.add(String.format("%s.time_bucket < ?", tableAlias));
+        parameters.put("endTime", request.getEndTime());
+        
+        // Viewport 필터
+        if (request.getViewport() != null && request.getViewport().isValid()) {
+            String viewportCondition = buildViewportCondition(request.getViewport(), tableAlias);
+            conditions.add(viewportCondition);
+        }
+        
+        // 해구 필터
+        if (request.getHaeguNumbers() != null && !request.getHaeguNumbers().isEmpty()) {
+            String haeguCondition = buildHaeguCondition(request.getHaeguNumbers(), tableAlias);
+            conditions.add(haeguCondition);
+        }
+        
+        // 영역 필터
+        if (request.getAreaIds() != null && !request.getAreaIds().isEmpty()) {
+            String areaCondition = buildAreaCondition(request.getAreaIds(), tableAlias);
+            conditions.add(areaCondition);
+        }
+        
+        // 선박 필터
+        if (request.getVesselIds() != null && !request.getVesselIds().isEmpty()) {
+            String vesselCondition = buildVesselCondition(request.getVesselIds(), tableAlias);
+            conditions.add(vesselCondition);
+        }
+        
+        // WHERE 절 조합
+        String whereClause = conditions.isEmpty() ? "" : 
+            " WHERE " + String.join(" AND ", conditions);
+        
+        return FilterResult.builder()
+            .whereClause(whereClause)
+            .parameters(parameters)
+            .hasFilters(!conditions.isEmpty())
+            .build();
+    }
+    
+    /**
+     * 복합 필터 빌더
+     */
+    public CompositeFilter createCompositeFilter(TrackQueryRequest request) {
+        CompositeFilter.CompositeFilterBuilder builder = CompositeFilter.builder();
+        
+        // 기본 필터
+        builder.timeRange(new TimeRange(request.getStartTime(), request.getEndTime()));
+        
+        // 공간 필터
+        if (request.getViewport() != null) {
+            builder.spatialFilter(new SpatialFilter(
+                request.getViewport(),
+                request.getHaeguNumbers(),
+                request.getAreaIds()
+            ));
+        }
+        
+        // 선박 필터
+        if (request.getVesselIds() != null) {
+            builder.vesselFilter(new VesselFilter(request.getVesselIds()));
+        }
+        
+        return builder.build();
+    }
+    
+    /**
+     * 동적 필터 최적화
+     * 필터 조건에 따라 최적의 쿼리 전략 선택
+     */
+    public QueryStrategy optimizeQueryStrategy(CompositeFilter filter) {
+        // 선박 ID가 적으면 선박별 쿼리
+        if (filter.hasVesselFilter() && filter.getVesselFilter().getVesselIds().size() <= 10) {
+            return QueryStrategy.VESSEL_BASED;
+        }
+        
+        // 특정 영역이면 영역 기반 쿼리
+        if (filter.hasSpatialFilter() && filter.getSpatialFilter().hasAreaFilter()) {
+            return QueryStrategy.AREA_BASED;
+        }
+        
+        // 해구 필터가 있으면 해구 기반 쿼리
+        if (filter.hasSpatialFilter() && filter.getSpatialFilter().hasHaeguFilter()) {
+            return QueryStrategy.HAEGU_BASED;
+        }
+        
+        // 기본: 시간 기반 쿼리
+        return QueryStrategy.TIME_BASED;
+    }
+    
+    // Private helper methods
+    
+    private String buildViewportCondition(ViewportFilter viewport, String alias) {
+        return String.format(
+            "public.ST_Intersects(%s.track_geom, public.ST_MakeEnvelope(?, ?, ?, ?, 4326))",
+            alias
+        );
+    }
+    
+    private String buildHaeguCondition(List<Integer> haeguNumbers, String alias) {
+        String placeholders = haeguNumbers.stream()
+            .map(n -> "?")
+            .collect(Collectors.joining(","));
+        
+        // 대해구와 소해구 모두 확인
+        return String.format(
+            "EXISTS (SELECT 1 FROM t_grid_tiles gt WHERE " +
+            "(gt.large_grid_no IN (%s) OR gt.grid_no IN (%s)) AND " +
+            "public.ST_Intersects(%s.track_geom, gt.boundary))",
+            placeholders, placeholders, alias
+        );
+    }
+    
+    private String buildAreaCondition(List<String> areaIds, String alias) {
+        String placeholders = areaIds.stream()
+            .map(id -> "?")
+            .collect(Collectors.joining(","));
+        
+        return String.format(
+            "EXISTS (SELECT 1 FROM t_areas a WHERE " +
+            "a.area_id IN (%s) AND " +
+            "public.ST_Intersects(%s.track_geom, a.boundary))",
+            placeholders, alias
+        );
+    }
+    
+    private String buildVesselCondition(List<String> vesselIds, String alias) {
+        String placeholders = vesselIds.stream()
+            .map(id -> "?")
+            .collect(Collectors.joining(","));
+        
+        return String.format("%s.target_id IN (%s)", alias, placeholders);
+    }
+    
+    // Inner classes
+    
+    @Data
+    @Builder
+    public static class FilterResult {
+        private String whereClause;
+        private Map<String, Object> parameters;
+        private boolean hasFilters;
+    }
+    
+    @Data
+    @Builder
+    public static class CompositeFilter {
+        private TimeRange timeRange;
+        private SpatialFilter spatialFilter;
+        private VesselFilter vesselFilter;
+        
+        public boolean hasSpatialFilter() {
+            return spatialFilter != null;
+        }
+        
+        public boolean hasVesselFilter() {
+            return vesselFilter != null && !vesselFilter.getVesselIds().isEmpty();
+        }
+    }
+    
+    @Data
+    public static class TimeRange {
+        private final LocalDateTime startTime;
+        private final LocalDateTime endTime;
+        
+        public long getDurationHours() {
+            return java.time.Duration.between(startTime, endTime).toHours();
+        }
+    }
+    
+    @Data
+    public static class SpatialFilter {
+        private final ViewportFilter viewport;
+        private final List<Integer> haeguNumbers;
+        private final List<String> areaIds;
+        
+        public boolean hasHaeguFilter() {
+            return haeguNumbers != null && !haeguNumbers.isEmpty();
+        }
+        
+        public boolean hasAreaFilter() {
+            return areaIds != null && !areaIds.isEmpty();
+        }
+    }
+    
+    @Data
+    public static class VesselFilter {
+        private final List<String> vesselIds;
+        
+        public boolean isMultiVessel() {
+            return vesselIds.size() > 1;
+        }
+    }
+    
+    public enum QueryStrategy {
+        TIME_BASED("시간 기반 쿼리"),
+        VESSEL_BASED("선박 기반 쿼리"),
+        AREA_BASED("영역 기반 쿼리"),
+        HAEGU_BASED("해구 기반 쿼리");
+        
+        @SuppressWarnings("unused")
+        private final String description;
+        
+        QueryStrategy(String description) {
+            this.description = description;
+        }
+    }
+    
+    /**
+     * 캐시 키 생성기
+     * 동일한 필터 조건에 대한 캐시 키 생성
+     */
+    public String generateCacheKey(CompositeFilter filter) {
+        List<String> parts = new ArrayList<>();
+        
+        // 시간 범위 (5분 단위로 정규화)
+        long startMinutes = filter.getTimeRange().getStartTime().getMinute() / 5 * 5;
+        long endMinutes = filter.getTimeRange().getEndTime().getMinute() / 5 * 5;
+        parts.add(String.format("T:%d-%d", startMinutes, endMinutes));
+        
+        // 공간 필터
+        if (filter.hasSpatialFilter()) {
+            SpatialFilter spatial = filter.getSpatialFilter();
+            
+            if (spatial.getViewport() != null) {
+                parts.add(String.format("V:%.2f,%.2f,%.2f,%.2f",
+                    spatial.getViewport().getMinLon(),
+                    spatial.getViewport().getMinLat(),
+                    spatial.getViewport().getMaxLon(),
+                    spatial.getViewport().getMaxLat()));
+            }
+            
+            if (spatial.hasHaeguFilter()) {
+                String haeguKey = spatial.getHaeguNumbers().stream()
+                    .sorted()
+                    .map(String::valueOf)
+                    .collect(Collectors.joining(","));
+                parts.add("H:" + haeguKey);
+            }
+            
+            if (spatial.hasAreaFilter()) {
+                String areaKey = spatial.getAreaIds().stream()
+                    .sorted()
+                    .collect(Collectors.joining(","));
+                parts.add("A:" + areaKey);
+            }
+        }
+        
+        // 선박 필터
+        if (filter.hasVesselFilter()) {
+            String vesselKey = filter.getVesselFilter().getVesselIds().stream()
+                .sorted()
+                .collect(Collectors.joining(","));
+            parts.add("S:" + vesselKey);
+        }
+        
+        return String.join("|", parts);
+    }
+}

src/main/java/gc/mda/signal_batch/domain/vessel/service/filter/VesselTrackFilter.java

@@ -0,0 +1,382 @@
+package gc.mda.signal_batch.domain.vessel.service.filter;
+
+import gc.mda.signal_batch.global.websocket.dto.TrackQueryRequest;
+import lombok.Builder;
+import lombok.Data;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.locationtech.jts.geom.Coordinate;
+import org.locationtech.jts.geom.LineString;
+import org.locationtech.jts.io.ParseException;
+import org.locationtech.jts.io.WKTReader;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.stereotype.Component;
+
+import java.sql.Timestamp;
+import java.time.LocalDateTime;
+import java.util.*;
+import java.util.concurrent.ConcurrentHashMap;
+import java.util.stream.Collectors;
+
+
+/**
+ * 선박 궤적 데이터의 거리/속도 기반 필터링을 수행하는 컴포넌트
+ * bucket 간 연결성을 고려한 정확한 거리 계산 포함
+ */
+@Slf4j
+@Component
+@RequiredArgsConstructor
+public class VesselTrackFilter {
+    
+    private final JdbcTemplate queryJdbcTemplate;
+    private final WKTReader wktReader = new WKTReader();
+    
+    /**
+     * 거리/속도 기반으로 선박을 필터링
+     */
+    public Set<String> filterVesselsByDistanceAndSpeed(TrackQueryRequest request, String tableName) {
+        if (!hasDistanceOrSpeedFilter(request)) {
+            return Collections.emptySet(); // 필터가 없으면 빈 Set 반환 (모든 선박 포함)
+        }
+        
+        log.info("Filtering vessels by distance/speed from table: {}", tableName);
+        
+        // 1단계: 기간 내 모든 선박의 궤적 데이터 조회
+        Map<String, List<VesselTrackSegment>> vesselTracks = loadVesselTracks(request, tableName);
+        
+        // 2단계: 각 선박별로 전체 거리와 평균 속도 계산
+        Map<String, VesselMetrics> vesselMetrics = calculateVesselMetrics(vesselTracks, request.getIncludeInterBucketDistance());
+        
+        // 3단계: 필터 조건에 맞는 선박만 선택
+        Set<String> filteredVessels = filterVessels(vesselMetrics, request);
+        
+        log.info("Filtered {} vessels out of {} total vessels", filteredVessels.size(), vesselTracks.size());
+        
+        return filteredVessels;
+    }
+    
+    /**
+     * 여러 테이블에서 조회한 선박 궤적을 통합하여 필터링
+     */
+    public Set<String> filterVesselsByDistanceAndSpeedMultipleTables(
+            TrackQueryRequest request, 
+            Map<String, List<TimeRange>> tableStrategyMap) {
+        
+        if (!hasDistanceOrSpeedFilter(request)) {
+            return Collections.emptySet();
+        }
+        
+        log.info("Filtering vessels across multiple tables: {}", tableStrategyMap.keySet());
+        
+        // 모든 테이블에서 선박별 궤적 데이터 수집
+        Map<String, List<VesselTrackSegment>> allVesselTracks = new ConcurrentHashMap<>();
+        
+        for (Map.Entry<String, List<TimeRange>> entry : tableStrategyMap.entrySet()) {
+            String tableName = entry.getKey();
+            List<TimeRange> timeRanges = entry.getValue();
+            
+            for (TimeRange range : timeRanges) {
+                TrackQueryRequest rangeRequest = request.toBuilder()
+                    .startTime(range.getStart())
+                    .endTime(range.getEnd())
+                    .build();
+                
+                Map<String, List<VesselTrackSegment>> tableVesselTracks = 
+                    loadVesselTracks(rangeRequest, tableName);
+                
+                // 기존 데이터와 병합
+                for (Map.Entry<String, List<VesselTrackSegment>> vesselEntry : tableVesselTracks.entrySet()) {
+                    allVesselTracks.computeIfAbsent(vesselEntry.getKey(), k -> new ArrayList<>())
+                        .addAll(vesselEntry.getValue());
+                }
+            }
+        }
+        
+        // 병합된 데이터로 메트릭 계산
+        Map<String, VesselMetrics> vesselMetrics = calculateVesselMetrics(
+            allVesselTracks, request.getIncludeInterBucketDistance());
+        
+        // 필터 적용
+        Set<String> filteredVessels = filterVessels(vesselMetrics, request);
+        
+        log.info("Filtered {} vessels out of {} total vessels across all tables", 
+            filteredVessels.size(), allVesselTracks.size());
+        
+        return filteredVessels;
+    }
+    
+    /**
+     * 거리/속도 필터가 있는지 확인
+     */
+    private boolean hasDistanceOrSpeedFilter(TrackQueryRequest request) {
+        return request.getMinTotalDistance() != null ||
+               request.getMaxTotalDistance() != null ||
+               request.getMinAvgSpeed() != null ||
+               request.getMaxAvgSpeed() != null;
+    }
+    
+    /**
+     * 선박별 궤적 데이터 로드
+     */
+    private Map<String, List<VesselTrackSegment>> loadVesselTracks(TrackQueryRequest request, String tableName) {
+        String sql = """
+            SELECT sig_src_cd, target_id, time_bucket, 
+                   public.ST_AsText(track_geom) as track_geom,  -- WKT 형식으로 변환
+                   distance_nm, avg_speed, point_count,
+                   LEAD(time_bucket) OVER (PARTITION BY sig_src_cd, target_id ORDER BY time_bucket) as next_bucket,
+                   LEAD(public.ST_AsText(track_geom)) OVER (PARTITION BY sig_src_cd, target_id ORDER BY time_bucket) as next_geom  -- WKT 형식으로 변환
+            FROM %s
+            WHERE time_bucket >= ? AND time_bucket < ?
+            ORDER BY sig_src_cd, target_id, time_bucket
+            """.formatted(tableName);
+        
+        Map<String, List<VesselTrackSegment>> vesselTracks = new ConcurrentHashMap<>();
+        
+        queryJdbcTemplate.query(sql, rs -> {
+            String vesselId = rs.getString("sig_src_cd") + "_" + rs.getString("target_id");
+            
+            VesselTrackSegment segment = VesselTrackSegment.builder()
+                .vesselId(vesselId)
+                .timeBucket(rs.getTimestamp("time_bucket").toLocalDateTime())
+                .trackGeom(rs.getString("track_geom"))
+                .distanceNm(rs.getDouble("distance_nm"))
+                .avgSpeed(rs.getDouble("avg_speed"))
+                .pointCount(rs.getInt("point_count"))
+                .nextBucket(rs.getTimestamp("next_bucket") != null ? 
+                    rs.getTimestamp("next_bucket").toLocalDateTime() : null)
+                .nextGeom(rs.getString("next_geom"))
+                .build();
+            
+            vesselTracks.computeIfAbsent(vesselId, k -> new ArrayList<>()).add(segment);
+        }, Timestamp.valueOf(request.getStartTime()), Timestamp.valueOf(request.getEndTime()));
+        
+        return vesselTracks;
+    }
+    
+    /**
+     * 선박별 메트릭 계산 (전체 거리, 평균 속도)
+     */
+    private Map<String, VesselMetrics> calculateVesselMetrics(
+            Map<String, List<VesselTrackSegment>> vesselTracks,
+            boolean includeInterBucketDistance) {
+        
+        Map<String, VesselMetrics> metrics = new HashMap<>();
+        
+        for (Map.Entry<String, List<VesselTrackSegment>> entry : vesselTracks.entrySet()) {
+            String vesselId = entry.getKey();
+            List<VesselTrackSegment> segments = entry.getValue();
+            
+            double totalDistance = 0.0;
+            double totalTime = 0.0;
+            int totalPoints = 0;
+            
+            for (int i = 0; i < segments.size(); i++) {
+                VesselTrackSegment segment = segments.get(i);
+                
+                // 세그먼트 내 거리
+                totalDistance += segment.getDistanceNm();
+                totalPoints += segment.getPointCount();
+                
+                // bucket 간 거리 계산 (옵션)
+                if (includeInterBucketDistance && segment.getNextBucket() != null && i < segments.size() - 1) {
+                    double interBucketDistance = calculateInterBucketDistance(segment);
+                    if (interBucketDistance > 0) {
+                        totalDistance += interBucketDistance;
+                        
+                        // 시간 계산 (bucket 간격)
+                        double timeDiff = java.time.Duration.between(
+                            segment.getTimeBucket(), 
+                            segment.getNextBucket()
+                        ).toMinutes() / 60.0; // hours
+                        totalTime += timeDiff;
+                    }
+                }
+            }
+            
+            // 전체 시간 계산 (첫 bucket ~ 마지막 bucket)
+            if (!segments.isEmpty()) {
+                LocalDateTime firstTime = segments.get(0).getTimeBucket();
+                LocalDateTime lastTime = segments.get(segments.size() - 1).getTimeBucket();
+                totalTime = java.time.Duration.between(firstTime, lastTime).toMinutes() / 60.0; // hours
+            }
+            
+            // 평균 속도 계산
+            double avgSpeed = totalTime > 0 ? totalDistance / totalTime : 0.0;
+            
+            metrics.put(vesselId, VesselMetrics.builder()
+                .vesselId(vesselId)
+                .totalDistance(totalDistance)
+                .avgSpeed(avgSpeed)
+                .totalPoints(totalPoints)
+                .segmentCount(segments.size())
+                .build());
+        }
+        
+        return metrics;
+    }
+    
+    /**
+     * bucket 간 거리 계산 (마지막 점과 다음 첫 점 사이)
+     */
+    private double calculateInterBucketDistance(VesselTrackSegment segment) {
+        try {
+            if (segment.getTrackGeom() == null || segment.getNextGeom() == null) {
+                return 0.0;
+            }
+            
+            // 빈 문자열 체크
+            String currentGeom = segment.getTrackGeom().trim();
+            String nextGeom = segment.getNextGeom().trim();
+            
+            if (currentGeom.isEmpty() || nextGeom.isEmpty()) {
+                return 0.0;
+            }
+            
+            // LINESTRING EMPTY 체크
+            if (currentGeom.equalsIgnoreCase("LINESTRING EMPTY") || 
+                nextGeom.equalsIgnoreCase("LINESTRING EMPTY")) {
+                return 0.0;
+            }
+            
+            // LINESTRING M 형식 체크 (PostGIS의 M 값을 포함한 LineString)
+            if (currentGeom.toUpperCase().contains("LINESTRING M") && !currentGeom.contains("(")) {
+                log.debug("Invalid LINESTRING M format: {}", currentGeom.substring(0, Math.min(50, currentGeom.length())));
+                return 0.0;
+            }
+            
+            LineString currentLine = (LineString) wktReader.read(currentGeom);
+            LineString nextLine = (LineString) wktReader.read(nextGeom);
+            
+            if (currentLine.isEmpty() || nextLine.isEmpty() || 
+                currentLine.getNumPoints() == 0 || nextLine.getNumPoints() == 0) {
+                return 0.0;
+            }
+            
+            // 현재 궤적의 마지막 점
+            Coordinate lastPoint = currentLine.getCoordinateN(currentLine.getNumPoints() - 1);
+            // 다음 궤적의 첫 점
+            Coordinate firstPoint = nextLine.getCoordinateN(0);
+            
+            // 거리 계산 (Haversine formula)
+            return calculateHaversineDistance(
+                lastPoint.y, lastPoint.x,  // lat, lon
+                firstPoint.y, firstPoint.x
+            );
+            
+        } catch (ParseException e) {
+            // 상세한 디버그 정보 출력
+            String currentSample = segment.getTrackGeom() != null ? 
+                segment.getTrackGeom().substring(0, Math.min(100, segment.getTrackGeom().length())) : "null";
+            String nextSample = segment.getNextGeom() != null ? 
+                segment.getNextGeom().substring(0, Math.min(100, segment.getNextGeom().length())) : "null";
+            
+            // WKB 형식인지 확인 (16진수로 시작하는 경우)
+            if (currentSample.matches("^[0-9A-Fa-f]+$")) {
+                log.error("Geometry is in WKB format, not WKT. Please use public.ST_AsText() in SQL query. Sample: {}", 
+                    currentSample.substring(0, Math.min(50, currentSample.length())));
+            } else {
+                log.warn("Failed to parse geometry: {} - Current: {}, Next: {}", 
+                    e.getMessage(), currentSample, nextSample);
+            }
+            return 0.0;
+        } catch (Exception e) {
+            log.warn("Unexpected error in calculateInterBucketDistance: {}", e.getMessage(), e);
+            return 0.0;
+        }
+    }
+    
+    /**
+     * Haversine 공식을 사용한 거리 계산 (nautical miles)
+     */
+    private double calculateHaversineDistance(double lat1, double lon1, double lat2, double lon2) {
+        double R = 3440.065; // 지구 반경 (nautical miles)
+        double dLat = Math.toRadians(lat2 - lat1);
+        double dLon = Math.toRadians(lon2 - lon1);
+        
+        double a = Math.sin(dLat / 2) * Math.sin(dLat / 2) +
+                   Math.cos(Math.toRadians(lat1)) * Math.cos(Math.toRadians(lat2)) *
+                   Math.sin(dLon / 2) * Math.sin(dLon / 2);
+        
+        double c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));
+        return R * c;
+    }
+    
+    /**
+     * 필터 조건에 맞는 선박 선택
+     */
+    private Set<String> filterVessels(Map<String, VesselMetrics> vesselMetrics, TrackQueryRequest request) {
+        return vesselMetrics.entrySet().stream()
+            .filter(entry -> {
+                VesselMetrics metrics = entry.getValue();
+                
+                // 최소 거리 필터
+                if (request.getMinTotalDistance() != null && 
+                    metrics.getTotalDistance() < request.getMinTotalDistance()) {
+                    return false;
+                }
+                
+                // 최대 거리 필터
+                if (request.getMaxTotalDistance() != null && 
+                    metrics.getTotalDistance() > request.getMaxTotalDistance()) {
+                    return false;
+                }
+                
+                // 최소 속도 필터
+                if (request.getMinAvgSpeed() != null && 
+                    metrics.getAvgSpeed() < request.getMinAvgSpeed()) {
+                    return false;
+                }
+                
+                // 최대 속도 필터
+                if (request.getMaxAvgSpeed() != null && 
+                    metrics.getAvgSpeed() > request.getMaxAvgSpeed()) {
+                    return false;
+                }
+                
+                return true;
+            })
+            .map(Map.Entry::getKey)
+            .collect(Collectors.toSet());
+    }
+    
+    /**
+     * 선박별 메트릭 정보를 반환 (디버깅/통계용)
+     */
+    public Map<String, VesselMetrics> getVesselMetrics(TrackQueryRequest request, String tableName) {
+        Map<String, List<VesselTrackSegment>> vesselTracks = loadVesselTracks(request, tableName);
+        return calculateVesselMetrics(vesselTracks, request.getIncludeInterBucketDistance());
+    }
+    
+    @Data
+    @Builder
+    private static class VesselTrackSegment {
+        private String vesselId;
+        private LocalDateTime timeBucket;
+        private String trackGeom;
+        private double distanceNm;
+        private double avgSpeed;
+        private int pointCount;
+        private LocalDateTime nextBucket;
+        private String nextGeom;
+    }
+    
+    /**
+     * 시간 범위를 나타내는 내부 클래스
+     */
+    @Data
+    @Builder
+    public static class TimeRange {
+        private LocalDateTime start;
+        private LocalDateTime end;
+    }
+    
+    @Data
+    @Builder
+    public static class VesselMetrics {
+        private String vesselId;
+        private double totalDistance;
+        private double avgSpeed;
+        private int totalPoints;
+        private int segmentCount;
+    }
+}

src/main/java/gc/mda/signal_batch/domain/vessel/service/optimization/TrackStreamingOptimizer.java

@@ -0,0 +1,193 @@
+package gc.mda.signal_batch.domain.vessel.service.optimization;
+
+import gc.mda.signal_batch.global.websocket.dto.TrackChunkResponse;
+import gc.mda.signal_batch.global.websocket.dto.VesselTrackData;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.stereotype.Component;
+
+import java.util.*;
+import java.util.concurrent.*;
+import java.util.stream.Collectors;
+
+
+@Slf4j
+@Component
+public class TrackStreamingOptimizer {
+    
+    // 시간 범위별 최적 청크 크기
+    private static final Map<Integer, Integer> OPTIMAL_CHUNK_SIZES = Map.of(
+        1, 2000,    // 1일 이내
+        7, 1000,    // 7일 이내
+        30, 500,    // 30일 이내
+        90, 250     // 90일 이내
+    );
+    
+    // 병렬 처리 스레드 수
+    private static final Map<Integer, Integer> PARALLEL_THREADS = Map.of(
+        1, 2,       // 1일 이내
+        7, 4,       // 7일 이내
+        30, 8,      // 30일 이내
+        90, 12      // 90일 이내
+    );
+    
+    /**
+     * 조회 기간에 따른 최적 청크 크기 계산
+     */
+    public int calculateOptimalChunkSize(long durationDays, int requestedChunkSize) {
+        if (requestedChunkSize > 0) {
+            return requestedChunkSize;
+        }
+        
+        return OPTIMAL_CHUNK_SIZES.entrySet().stream()
+            .filter(entry -> durationDays <= entry.getKey())
+            .map(Map.Entry::getValue)
+            .findFirst()
+            .orElse(100);
+    }
+    
+    /**
+     * 병렬 처리 스레드 수 계산
+     */
+    public int calculateParallelThreads(long durationDays) {
+        return PARALLEL_THREADS.entrySet().stream()
+            .filter(entry -> durationDays <= entry.getKey())
+            .map(Map.Entry::getValue)
+            .findFirst()
+            .orElse(16);
+    }
+    
+    /**
+     * 트랙 데이터 우선순위 정렬
+     * - 속도가 높은 선박 우선
+     * - 이동 거리가 긴 선박 우선
+     * - 최근 데이터 우선
+     */
+    public List<VesselTrackData> prioritizeTracks(List<VesselTrackData> tracks) {
+        return tracks.stream()
+            .sorted(Comparator
+                .comparing(VesselTrackData::getAvgSpeed, Comparator.reverseOrder())
+                .thenComparing(VesselTrackData::getDistanceNm, Comparator.reverseOrder())
+                .thenComparing(VesselTrackData::getEndTime, Comparator.reverseOrder()))
+            .collect(Collectors.toList());
+    }
+    
+    /**
+     * 적응형 청크 생성
+     * - 네트워크 상태에 따라 청크 크기 동적 조정
+     * - 클라이언트 처리 속도에 따라 백프레셔 적용
+     */
+    public CompletableFuture<TrackChunkResponse> createAdaptiveChunk(
+            String queryId,
+            List<VesselTrackData> tracks,
+            int chunkIndex,
+            int baseChunkSize,
+            NetworkMetrics networkMetrics) {
+        
+        return CompletableFuture.supplyAsync(() -> {
+            // 네트워크 지연에 따른 청크 크기 조정
+            int adjustedChunkSize = adjustChunkSize(baseChunkSize, networkMetrics);
+            
+            // 우선순위에 따라 정렬된 트랙 선택
+            List<VesselTrackData> prioritizedTracks = prioritizeTracks(tracks);
+            List<VesselTrackData> chunkTracks = prioritizedTracks.stream()
+                .limit(adjustedChunkSize)
+                .collect(Collectors.toList());
+            
+            TrackChunkResponse chunk = new TrackChunkResponse();
+            chunk.setQueryId(queryId);
+            chunk.setChunkIndex(chunkIndex);
+            chunk.setTracks(chunkTracks);
+            chunk.setIsLastChunk(false);
+            
+            log.debug("Created adaptive chunk {} with {} tracks (base: {}, adjusted: {})",
+                     chunkIndex, chunkTracks.size(), baseChunkSize, adjustedChunkSize);
+            
+            return chunk;
+        });
+    }
+    
+    /**
+     * 백프레셔 적용을 위한 청크 크기 조정
+     */
+    private int adjustChunkSize(int baseSize, NetworkMetrics metrics) {
+        double latencyFactor = Math.min(1.0, 100.0 / metrics.getAverageLatencyMs());
+        double throughputFactor = Math.min(1.0, metrics.getThroughputKbps() / 1000.0);
+        
+        double adjustmentFactor = (latencyFactor + throughputFactor) / 2.0;
+        return Math.max(100, (int)(baseSize * adjustmentFactor));
+    }
+    
+    /**
+     * 스마트 캐싱 전략
+     * - 자주 조회되는 영역의 트랙 데이터 캐싱
+     * - TTL 기반 캐시 무효화
+     */
+    public class SmartCache {
+        private final Map<String, CachedData> cache = new ConcurrentHashMap<>();
+        private final long TTL_MILLIS = TimeUnit.MINUTES.toMillis(5);
+        
+        public Optional<List<VesselTrackData>> get(String cacheKey) {
+            CachedData cached = cache.get(cacheKey);
+            if (cached != null && !cached.isExpired()) {
+                return Optional.of(cached.getData());
+            }
+            cache.remove(cacheKey);
+            return Optional.empty();
+        }
+        
+        public void put(String cacheKey, List<VesselTrackData> data) {
+            cache.put(cacheKey, new CachedData(data));
+        }
+        
+        private class CachedData {
+            private final List<VesselTrackData> data;
+            private final long timestamp;
+            
+            CachedData(List<VesselTrackData> data) {
+                this.data = data;
+                this.timestamp = System.currentTimeMillis();
+            }
+            
+            boolean isExpired() {
+                return System.currentTimeMillis() - timestamp > TTL_MILLIS;
+            }
+            
+            List<VesselTrackData> getData() {
+                return data;
+            }
+        }
+    }
+    
+    /**
+     * 네트워크 메트릭
+     */
+    public static class NetworkMetrics {
+        private final Queue<Long> latencies = new ConcurrentLinkedQueue<>();
+        private final Queue<Double> throughputs = new ConcurrentLinkedQueue<>();
+        private static final int MAX_SAMPLES = 100;
+        
+        public void recordLatency(long latencyMs) {
+            latencies.offer(latencyMs);
+            if (latencies.size() > MAX_SAMPLES) {
+                latencies.poll();
+            }
+        }
+        
+        public void recordThroughput(double throughputKbps) {
+            throughputs.offer(throughputKbps);
+            if (throughputs.size() > MAX_SAMPLES) {
+                throughputs.poll();
+            }
+        }
+        
+        public double getAverageLatencyMs() {
+            return latencies.isEmpty() ? 50.0 : 
+                   latencies.stream().mapToLong(Long::longValue).average().orElse(50.0);
+        }
+        
+        public double getThroughputKbps() {
+            return throughputs.isEmpty() ? 1000.0 :
+                   throughputs.stream().mapToDouble(Double::doubleValue).average().orElse(1000.0);
+        }
+    }
+}

src/main/java/gc/mda/signal_batch/domain/vessel/service/query/CancellableQueryManager.java

@@ -0,0 +1,255 @@
+package gc.mda.signal_batch.domain.vessel.service.query;
+
+import gc.mda.signal_batch.global.websocket.dto.QueryStatusUpdate;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.stereotype.Component;
+
+import java.sql.Connection;
+import java.sql.SQLException;
+import java.sql.Statement;
+import java.util.Map;
+import java.util.concurrent.*;
+import java.util.concurrent.atomic.AtomicBoolean;
+import java.util.function.Consumer;
+
+
+@Slf4j
+@Component
+public class CancellableQueryManager {
+    
+    // 활성 쿼리 컨텍스트 관리
+    private final Map<String, QueryExecutionContext> activeQueries = new ConcurrentHashMap<>();
+    
+    // 쿼리 실행을 위한 스레드 풀
+    private final ExecutorService queryExecutor = Executors.newCachedThreadPool(r -> {
+        Thread thread = new Thread(r);
+        thread.setName("query-executor-" + thread.getId());
+        thread.setDaemon(true);
+        return thread;
+    });
+    
+    /**
+     * 취소 가능한 쿼리 실행
+     */
+    public CompletableFuture<Void> executeQuery(
+            String queryId,
+            QueryTask queryTask,
+            Consumer<QueryStatusUpdate> statusConsumer) {
+        
+        QueryExecutionContext context = new QueryExecutionContext(queryId, statusConsumer);
+        activeQueries.put(queryId, context);
+        
+        return CompletableFuture.runAsync(() -> {
+            try {
+                // 쿼리 시작 알림
+                context.updateStatus("STARTED", "Query execution started", 0.0);
+                
+                // 쿼리 실행
+                queryTask.execute(context);
+                
+                // 완료 처리
+                if (!context.isCancelled()) {
+                    context.updateStatus("COMPLETED", "Query completed successfully", 100.0);
+                }
+            } catch (Exception e) {
+                if (context.isCancelled()) {
+                    context.updateStatus("CANCELLED", "Query cancelled by user", context.getProgress());
+                } else {
+                    log.error("Query {} failed: {}", queryId, e.getMessage(), e);
+                    context.updateStatus("ERROR", "Query failed: " + e.getMessage(), context.getProgress());
+                }
+            } finally {
+                activeQueries.remove(queryId);
+                context.cleanup();
+            }
+        }, queryExecutor);
+    }
+    
+    /**
+     * 쿼리 취소
+     */
+    public boolean cancelQuery(String queryId) {
+        QueryExecutionContext context = activeQueries.get(queryId);
+        if (context != null) {
+            context.cancel();
+            return true;
+        }
+        return false;
+    }
+    
+    /**
+     * 모든 활성 쿼리 취소
+     */
+    public void cancelAllQueries() {
+        activeQueries.values().forEach(QueryExecutionContext::cancel);
+    }
+    
+    /**
+     * 쿼리 실행 컨텍스트
+     */
+    public static class QueryExecutionContext {
+        private final String queryId;
+        private final Consumer<QueryStatusUpdate> statusConsumer;
+        private final AtomicBoolean cancelled = new AtomicBoolean(false);
+        private final Map<String, Statement> activeStatements = new ConcurrentHashMap<>();
+        private volatile double progress = 0.0;
+        
+        public QueryExecutionContext(String queryId, Consumer<QueryStatusUpdate> statusConsumer) {
+            this.queryId = queryId;
+            this.statusConsumer = statusConsumer;
+        }
+        
+        /**
+         * 취소 여부 확인
+         */
+        public boolean isCancelled() {
+            return cancelled.get();
+        }
+        
+        /**
+         * 쿼리 취소
+         */
+        public void cancel() {
+            if (cancelled.compareAndSet(false, true)) {
+                log.info("Cancelling query: {}", queryId);
+                
+                // 모든 활성 Statement 취소
+                activeStatements.values().forEach(stmt -> {
+                    try {
+                        if (!stmt.isClosed()) {
+                            stmt.cancel();
+                        }
+                    } catch (SQLException e) {
+                        log.warn("Failed to cancel statement for query {}: {}", queryId, e.getMessage());
+                    }
+                });
+                
+                updateStatus("CANCELLING", "Query cancellation requested", progress);
+            }
+        }
+        
+        /**
+         * Statement 등록 (취소를 위해)
+         */
+        public void registerStatement(String key, Statement statement) {
+            activeStatements.put(key, statement);
+        }
+        
+        /**
+         * Statement 등록 해제
+         */
+        public void unregisterStatement(String key) {
+            Statement stmt = activeStatements.remove(key);
+            if (stmt != null) {
+                try {
+                    if (!stmt.isClosed()) {
+                        stmt.close();
+                    }
+                } catch (SQLException e) {
+                    log.warn("Failed to close statement: {}", e.getMessage());
+                }
+            }
+        }
+        
+        /**
+         * 진행률 업데이트
+         */
+        public void updateProgress(double progress) {
+            this.progress = Math.min(100.0, Math.max(0.0, progress));
+        }
+        
+        /**
+         * 진행률 조회
+         */
+        public double getProgress() {
+            return progress;
+        }
+        
+        /**
+         * 상태 업데이트
+         */
+        public void updateStatus(String status, String message, double progress) {
+            updateProgress(progress);
+            QueryStatusUpdate update = new QueryStatusUpdate();
+            update.setQueryId(queryId);
+            update.setStatus(status);
+            update.setMessage(message);
+            update.setProgressPercentage(this.progress);
+            statusConsumer.accept(update);
+        }
+        
+        /**
+         * 리소스 정리
+         */
+        public void cleanup() {
+            activeStatements.keySet().forEach(this::unregisterStatement);
+        }
+        
+        /**
+         * 취소 확인 포인트
+         * 주기적으로 호출하여 취소 여부 확인
+         */
+        public void checkCancellation() throws CancellationException {
+            if (isCancelled()) {
+                throw new CancellationException("Query cancelled by user");
+            }
+        }
+    }
+    
+    /**
+     * 쿼리 실행 태스크 인터페이스
+     */
+    @FunctionalInterface
+    public interface QueryTask {
+        void execute(QueryExecutionContext context) throws Exception;
+    }
+    
+    /**
+     * 청크 단위 쿼리 실행을 위한 헬퍼 메서드
+     */
+    public void executeChunkedQuery(
+            QueryExecutionContext context,
+            Connection connection,
+            String sql,
+            ChunkProcessor processor,
+            int totalExpected) throws SQLException {
+        
+        try (Statement stmt = connection.createStatement()) {
+            // 취소를 위해 Statement 등록
+            context.registerStatement("main-query", stmt);
+            
+            // 스트리밍 모드 설정
+            stmt.setFetchSize(1000);
+            
+            try (var rs = stmt.executeQuery(sql)) {
+                int processed = 0;
+                
+                while (rs.next()) {
+                    // 주기적으로 취소 확인
+                    if (processed % 100 == 0) {
+                        context.checkCancellation();
+                        
+                        // 진행률 업데이트
+                        double progress = totalExpected > 0 ? 
+                            (processed * 100.0 / totalExpected) : 0.0;
+                        context.updateProgress(progress);
+                    }
+                    
+                    // 청크 처리
+                    processor.processRow(rs);
+                    processed++;
+                }
+            } finally {
+                context.unregisterStatement("main-query");
+            }
+        }
+    }
+    
+    /**
+     * 청크 프로세서 인터페이스
+     */
+    @FunctionalInterface
+    public interface ChunkProcessor {
+        void processRow(java.sql.ResultSet rs) throws SQLException;
+    }
+}

src/main/java/gc/mda/signal_batch/domain/vessel/service/simplification/TrackSimplificationStrategy.java

@@ -0,0 +1,304 @@
+package gc.mda.signal_batch.domain.vessel.service.simplification;
+
+import lombok.extern.slf4j.Slf4j;
+import org.locationtech.jts.geom.*;
+import org.locationtech.jts.simplify.DouglasPeuckerSimplifier;
+import org.springframework.stereotype.Component;
+
+import java.time.Duration;
+import java.time.LocalDateTime;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.stream.Collectors;
+
+
+/**
+ * 궤적 간소화 전략 구현
+ * 요청 범위와 기간에 따라 동적으로 간소화 레벨을 적용
+ */
+@Slf4j
+@Component
+public class TrackSimplificationStrategy {
+
+    private final GeometryFactory geometryFactory = new GeometryFactory(new PrecisionModel(), 4326);
+
+    /**
+     * 간소화 레벨 정의
+     */
+    public enum SimplificationLevel {
+        NONE(1.0, 0.0),           // 원본 (간소화 없음)
+        MINIMAL(0.9, 0.00001),    // 최소 간소화 (90% 유지)
+        LIGHT(0.75, 0.0001),      // 경량 간소화 (75% 유지)
+        MODERATE(0.5, 0.0005),    // 중간 간소화 (50% 유지) - 0.001 -> 0.0005
+        HEAVY(0.25, 0.001),       // 고도 간소화 (25% 유지) - 0.01 -> 0.001
+        VERY_HEAVY(0.2, 0.0015),  // 매우 강한 간소화 (20% 유지)
+        EXTREME(0.1, 0.002);      // 극도 간소화 (10% 유지) - 0.1 -> 0.002
+
+        private final double retentionRatio;  // 유지 비율
+        private final double tolerance;       // Douglas-Peucker 허용치
+
+        SimplificationLevel(double retentionRatio, double tolerance) {
+            this.retentionRatio = retentionRatio;
+            this.tolerance = tolerance;
+        }
+
+        public double getRetentionRatio() {
+            return retentionRatio;
+        }
+
+        public double getTolerance() {
+            return tolerance;
+        }
+    }
+
+    /**
+     * 요청 기간과 뷰포트 크기에 따른 간소화 레벨 결정
+     */
+    public SimplificationLevel determineLevel(LocalDateTime startTime, LocalDateTime endTime,
+                                              Double minLon, Double maxLon, 
+                                              Double minLat, Double maxLat) {
+        
+        // 시간 범위 계산
+        Duration duration = Duration.between(startTime, endTime);
+        long hours = duration.toHours();
+        
+        // 뷰포트 크기 계산
+        double viewportWidth = maxLon - minLon;
+        double viewportHeight = maxLat - minLat;
+        double viewportArea = viewportWidth * viewportHeight;
+        
+        // 시간 범위별 기본 레벨
+        SimplificationLevel baseLevel;
+        if (hours <= 1) {
+            baseLevel = SimplificationLevel.NONE;
+        } else if (hours <= 6) {
+            baseLevel = SimplificationLevel.MINIMAL;
+        } else if (hours <= 24) {
+            baseLevel = SimplificationLevel.LIGHT;
+        } else if (hours <= 72) {
+            baseLevel = SimplificationLevel.MODERATE;
+        } else if (hours <= 168) {  // 1주일
+            baseLevel = SimplificationLevel.HEAVY;
+        } else {
+            baseLevel = SimplificationLevel.EXTREME;
+        }
+        
+        // 뷰포트 크기에 따른 조정
+        if (viewportArea > 100) {  // 매우 넓은 영역
+            baseLevel = adjustLevel(baseLevel, 1);  // 한 단계 더 간소화
+        } else if (viewportArea < 1) {  // 매우 좁은 영역
+            baseLevel = adjustLevel(baseLevel, -1);  // 한 단계 덜 간소화
+        }
+        
+        log.info("Simplification level determined: {} ({}h, area: {})", 
+                baseLevel, hours, String.format("%.2f", viewportArea));
+        
+        return baseLevel;
+    }
+
+    /**
+     * 간소화 레벨 조정
+     */
+    private SimplificationLevel adjustLevel(SimplificationLevel current, int adjustment) {
+        SimplificationLevel[] levels = SimplificationLevel.values();
+        int currentIndex = current.ordinal();
+        int newIndex = Math.max(0, Math.min(levels.length - 1, currentIndex + adjustment));
+        return levels[newIndex];
+    }
+
+    /**
+     * LineStringM 궤적 간소화
+     */
+    public String simplifyTrack(String wktLineString, SimplificationLevel level) {
+        if (level == SimplificationLevel.NONE) {
+            return wktLineString;
+        }
+
+        try {
+            // WKT 파싱
+            LineString original = parseLineStringM(wktLineString);
+            if (original == null || original.getNumPoints() < 3) {
+                return wktLineString;
+            }
+
+            // Douglas-Peucker 간소화
+            DouglasPeuckerSimplifier simplifier = new DouglasPeuckerSimplifier(original);
+            simplifier.setDistanceTolerance(level.getTolerance());
+            LineString simplified = (LineString) simplifier.getResultGeometry();
+
+            // 중요 포인트 보존 (시작점, 끝점, 방향 전환점)
+            LineString result = preserveKeyPoints(original, simplified, level);
+
+            // WKT로 변환
+            return convertToLineStringM(result, wktLineString);
+
+        } catch (Exception e) {
+            log.error("Error simplifying track: {}", e.getMessage());
+            return wktLineString;
+        }
+    }
+
+    /**
+     * 포인트 수 기반 간소화
+     */
+    public String simplifyByPointCount(String wktLineString, int maxPoints) {
+        try {
+            LineString original = parseLineStringM(wktLineString);
+            if (original == null || original.getNumPoints() <= maxPoints) {
+                return wktLineString;
+            }
+
+            // 유지할 포인트 비율 계산
+            double ratio = (double) maxPoints / original.getNumPoints();
+            
+            // 적절한 간소화 레벨 찾기
+            SimplificationLevel level = SimplificationLevel.NONE;
+            for (SimplificationLevel l : SimplificationLevel.values()) {
+                if (l.getRetentionRatio() <= ratio) {
+                    level = l;
+                    break;
+                }
+            }
+
+            return simplifyTrack(wktLineString, level);
+
+        } catch (Exception e) {
+            log.error("Error simplifying by point count: {}", e.getMessage());
+            return wktLineString;
+        }
+    }
+
+    /**
+     * 적응형 간소화 - 데이터 밀도에 따라 동적 조정
+     */
+    public String adaptiveSimplify(String wktLineString, double targetSizeKB) {
+        try {
+            // 현재 크기 추정 (포인트당 약 24바이트)
+            LineString original = parseLineStringM(wktLineString);
+            if (original == null) return wktLineString;
+            
+            double currentSizeKB = (original.getNumPoints() * 24.0) / 1024.0;
+            
+            if (currentSizeKB <= targetSizeKB) {
+                return wktLineString;
+            }
+
+            // 목표 포인트 수 계산
+            int targetPoints = (int) ((targetSizeKB * 1024) / 24);
+            return simplifyByPointCount(wktLineString, targetPoints);
+
+        } catch (Exception e) {
+            log.error("Error in adaptive simplification: {}", e.getMessage());
+            return wktLineString;
+        }
+    }
+
+    /**
+     * LineStringM 파싱 (M값 포함)
+     */
+    private LineString parseLineStringM(String wkt) {
+        if (wkt == null || wkt.isEmpty()) return null;
+        
+        try {
+            // LINESTRING M(...) 형식 파싱
+            String coords = wkt.replace("LINESTRING M(", "")
+                              .replace("LINESTRING(", "")
+                              .replace(")", "")
+                              .trim();
+            
+            if (coords.isEmpty()) return null;
+            
+            String[] points = coords.split(",");
+            List<Coordinate> coordinates = new ArrayList<>();
+            
+            for (String point : points) {
+                String[] parts = point.trim().split("\\s+");
+                if (parts.length >= 2) {
+                    double x = Double.parseDouble(parts[0]);
+                    double y = Double.parseDouble(parts[1]);
+                    // M값은 있으면 사용, 없으면 무시
+                    double m = parts.length >= 3 ? Double.parseDouble(parts[2]) : Double.NaN;
+                    Coordinate coord = new Coordinate(x, y);
+                    coord.setM(m);
+                    coordinates.add(coord);
+                }
+            }
+            
+            if (coordinates.size() < 2) return null;
+            
+            return geometryFactory.createLineString(
+                coordinates.toArray(new Coordinate[0])
+            );
+            
+        } catch (Exception e) {
+            log.error("Error parsing LineStringM: {}", e.getMessage());
+            return null;
+        }
+    }
+
+    /**
+     * LineString을 LineStringM WKT로 변환
+     */
+    private String convertToLineStringM(LineString simplified, String originalWkt) {
+        StringBuilder sb = new StringBuilder();
+        
+        // 원본이 M값을 가지고 있는지 확인
+        boolean hasM = originalWkt.contains("LINESTRING M");
+        
+        if (hasM) {
+            sb.append("LINESTRING M(");
+        } else {
+            sb.append("LINESTRING(");
+        }
+        
+        Coordinate[] coords = simplified.getCoordinates();
+        
+        for (int i = 0; i < coords.length; i++) {
+            if (i > 0) sb.append(", ");
+            
+            sb.append(String.format("%.6f %.6f", coords[i].x, coords[i].y));
+            
+            // M값이 있으면 추가
+            if (hasM) {
+                double m = Double.isNaN(coords[i].getM()) ? 
+                          (double)i / (coords.length - 1) : coords[i].getM();
+                sb.append(String.format(" %.6f", m));
+            }
+        }
+        
+        sb.append(")");
+        return sb.toString();
+    }
+
+    /**
+     * 중요 포인트 보존
+     */
+    private LineString preserveKeyPoints(LineString original, LineString simplified, 
+                                       SimplificationLevel level) {
+        List<Coordinate> result = new ArrayList<>();
+        
+        // 시작점과 끝점은 항상 보존
+        result.add(original.getCoordinateN(0));
+        
+        // 간소화된 중간 포인트들
+        for (int i = 1; i < simplified.getNumPoints() - 1; i++) {
+            result.add(simplified.getCoordinateN(i));
+        }
+        
+        // 끝점
+        result.add(original.getCoordinateN(original.getNumPoints() - 1));
+        
+        return geometryFactory.createLineString(
+            result.toArray(new Coordinate[0])
+        );
+    }
+
+    /**
+     * 배치 간소화 - 여러 궤적을 한번에 처리
+     */
+    public List<String> batchSimplify(List<String> tracks, SimplificationLevel level) {
+        return tracks.parallelStream()
+            .map(track -> simplifyTrack(track, level))
+            .collect(Collectors.toList());
+    }
+}

src/main/java/gc/mda/signal_batch/global/config/AsyncConfig.java

@@ -0,0 +1,45 @@
+package gc.mda.signal_batch.global.config;
+
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.aop.interceptor.AsyncUncaughtExceptionHandler;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.scheduling.annotation.AsyncConfigurer;
+import org.springframework.scheduling.annotation.EnableAsync;
+import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
+
+import java.util.concurrent.Executor;
+import java.util.concurrent.ThreadPoolExecutor;
+
+@Slf4j
+@Configuration
+@EnableAsync
+public class AsyncConfig implements AsyncConfigurer {
+
+    @Override
+    @Bean(name = "trackStreamingExecutor")
+    public Executor getAsyncExecutor() {
+        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
+        executor.setCorePoolSize(15);
+        executor.setMaxPoolSize(30);
+        executor.setQueueCapacity(500);
+        executor.setKeepAliveSeconds(40);
+        executor.setThreadNamePrefix("track-stream-");
+//        executor.setTaskDecorator(new MdcTaskDecorator());
+        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
+        executor.setWaitForTasksToCompleteOnShutdown(true);
+        executor.setAwaitTerminationSeconds(80);
+        executor.initialize();
+        return executor;
+    }
+
+    @Override
+    public AsyncUncaughtExceptionHandler getAsyncUncaughtExceptionHandler() {
+        return new AsyncUncaughtExceptionHandler() {
+            @Override
+            public void handleUncaughtException(Throwable ex, java.lang.reflect.Method method, Object... params) {
+                log.error("Exception in async method: {} with params: {}", method.getName(), params, ex);
+            }
+        };
+    }
+}

src/main/java/gc/mda/signal_batch/global/config/BatchConfig.java

@@ -0,0 +1,90 @@
+package gc.mda.signal_batch.global.config;
+
+import org.springframework.batch.core.configuration.JobRegistry;
+import org.springframework.batch.core.configuration.annotation.EnableBatchProcessing;
+import org.springframework.batch.core.configuration.support.JobRegistryBeanPostProcessor;
+import org.springframework.batch.core.explore.JobExplorer;
+import org.springframework.batch.core.explore.support.JobExplorerFactoryBean;
+import org.springframework.batch.core.launch.JobLauncher;
+import org.springframework.batch.core.launch.support.TaskExecutorJobLauncher;
+import org.springframework.batch.core.repository.JobRepository;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.context.annotation.Profile;
+import org.springframework.core.task.TaskExecutor;
+import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
+import org.springframework.transaction.PlatformTransactionManager;
+
+import javax.sql.DataSource;
+import java.util.concurrent.ThreadPoolExecutor;
+
+@Configuration
+@EnableBatchProcessing
+@Profile("!query")  // query 프로파일에서는 배치 처리 비활성화
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class BatchConfig {
+
+    @Bean
+    public TaskExecutor batchTaskExecutor() {
+        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
+        executor.setCorePoolSize(8);
+        executor.setMaxPoolSize(16);
+        executor.setQueueCapacity(100);
+        executor.setThreadNamePrefix("batch-");
+        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
+        executor.setWaitForTasksToCompleteOnShutdown(true);
+        executor.setAwaitTerminationSeconds(60);
+        executor.initialize();
+        return executor;
+    }
+
+    @Bean
+    public TaskExecutor partitionTaskExecutor() {
+        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
+        executor.setCorePoolSize(24);
+        executor.setMaxPoolSize(48);
+        executor.setQueueCapacity(200);
+        executor.setThreadNamePrefix("partition-");
+        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
+        executor.setKeepAliveSeconds(60);
+        executor.setAllowCoreThreadTimeOut(true);
+        executor.initialize();
+        return executor;
+    }
+
+    @Bean
+    public JobLauncher asyncJobLauncher(JobRepository jobRepository) throws Exception {
+        TaskExecutorJobLauncher jobLauncher = new TaskExecutorJobLauncher();
+        jobLauncher.setJobRepository(jobRepository);
+        jobLauncher.setTaskExecutor(batchTaskExecutor());
+        jobLauncher.afterPropertiesSet();
+        return jobLauncher;
+    }
+
+    @Bean
+    public JobLauncher syncJobLauncher(JobRepository jobRepository) throws Exception {
+        TaskExecutorJobLauncher jobLauncher = new TaskExecutorJobLauncher();
+        jobLauncher.setJobRepository(jobRepository);
+        jobLauncher.afterPropertiesSet();
+        return jobLauncher;
+    }
+
+    @Bean
+    public JobRegistryBeanPostProcessor jobRegistryBeanPostProcessor(JobRegistry jobRegistry) {
+        JobRegistryBeanPostProcessor postProcessor = new JobRegistryBeanPostProcessor();
+        postProcessor.setJobRegistry(jobRegistry);
+        return postProcessor;
+    }
+
+    @Bean
+    public JobExplorer jobExplorer(@Qualifier("batchDataSource") DataSource dataSource,
+                                   @Qualifier("batchTransactionManager") PlatformTransactionManager transactionManager) throws Exception {
+        JobExplorerFactoryBean factory = new JobExplorerFactoryBean();
+        factory.setDataSource(dataSource);
+        factory.setTransactionManager(transactionManager);
+        factory.afterPropertiesSet();
+        return factory.getObject();
+    }
+}

src/main/java/gc/mda/signal_batch/global/config/CacheConfig.java

@@ -0,0 +1,60 @@
+package gc.mda.signal_batch.global.config;
+
+import com.github.benmanes.caffeine.cache.Caffeine;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.cache.CacheManager;
+import org.springframework.cache.annotation.EnableCaching;
+import org.springframework.cache.caffeine.CaffeineCacheManager;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+
+import java.util.concurrent.TimeUnit;
+
+/**
+ * Caffeine Cache 설정
+ *
+ * 용도: 선박 최신 위치 정보를 메모리에 캐싱하여 DB 부하 감소 및 실시간성 향상
+ *
+ * 특징:
+ * - 최대 60분간 캐시 보관 (TTL)
+ * - API 요청 시 minutes 파라미터로 동적 필터링
+ * - 1분마다 자동 갱신 (VesselPositionCacheRefreshScheduler)
+ */
+@Slf4j
+@Configuration
+@EnableCaching
+public class CacheConfig {
+
+    @Value("${vessel.batch.cache.latest-position.ttl-minutes:60}")
+    private int cacheTtlMinutes;
+
+    @Value("${vessel.batch.cache.latest-position.max-size:50000}")
+    private int cacheMaxSize;
+
+    @Bean
+    public CacheManager cacheManager() {
+        CaffeineCacheManager cacheManager = new CaffeineCacheManager("vesselLatestPositions");
+        cacheManager.setCaffeine(caffeineCacheBuilder());
+
+        log.info("Initialized Caffeine CacheManager with TTL={}min, MaxSize={}",
+                cacheTtlMinutes, cacheMaxSize);
+
+        return cacheManager;
+    }
+
+    private Caffeine<Object, Object> caffeineCacheBuilder() {
+        return Caffeine.newBuilder()
+                // TTL: 60분 후 자동 만료 (비활성 선박 제거)
+                .expireAfterWrite(cacheTtlMinutes, TimeUnit.MINUTES)
+
+                // 최대 선박 수 제한 (메모리 보호)
+                .maximumSize(cacheMaxSize)
+
+                // 통계 수집 활성화 (모니터링용)
+                .recordStats()
+
+                // 초기 용량 설정 (rehashing 최소화)
+                .initialCapacity(1000);
+    }
+}

src/main/java/gc/mda/signal_batch/global/config/DataSourceConfig.java

@@ -0,0 +1,8 @@
+package gc.mda.signal_batch.global.config;
+
+
+import org.springframework.context.annotation.Configuration;
+@Configuration
+public class DataSourceConfig {
+
+}

src/main/java/gc/mda/signal_batch/global/config/DataSourceConfigProperties.java

@@ -0,0 +1,24 @@
+package gc.mda.signal_batch.global.config;
+
+import lombok.Data;
+import org.springframework.boot.context.properties.ConfigurationProperties;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.context.annotation.Profile;
+
+@Configuration
+@Profile("prod")
+@ConfigurationProperties(prefix = "spring.datasource")
+@Data
+public class DataSourceConfigProperties {
+    private DatabaseProperties collect = new DatabaseProperties();
+    private DatabaseProperties query = new DatabaseProperties();
+    private DatabaseProperties batch = new DatabaseProperties();
+
+    @Data
+    public static class DatabaseProperties {
+        private String jdbcUrl;
+        private String username;
+        private String password;
+        private String driverClassName = "org.postgresql.Driver";
+    }
+}

src/main/java/gc/mda/signal_batch/global/config/DevDataSourceConfig.java

@@ -0,0 +1,153 @@
+package gc.mda.signal_batch.global.config;
+
+import com.zaxxer.hikari.HikariConfig;
+import com.zaxxer.hikari.HikariDataSource;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.boot.context.properties.ConfigurationProperties;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.context.annotation.Primary;
+import org.springframework.context.annotation.Profile;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.jdbc.core.namedparam.NamedParameterJdbcTemplate;
+import org.springframework.jdbc.datasource.DataSourceTransactionManager;
+import org.springframework.transaction.PlatformTransactionManager;
+
+import javax.sql.DataSource;
+
+@Slf4j
+@Configuration
+@Profile("dev")
+public class DevDataSourceConfig {
+
+    @Bean
+    @ConfigurationProperties(prefix = "spring.datasource.collect")
+    public HikariConfig collectHikariConfig() {
+        HikariConfig config = new HikariConfig();
+        // 여기서 기본값을 설정하면 yml 파일의 설정과 병합됨
+        config.setConnectionInitSql("SET TIME ZONE 'Asia/Seoul'; SET search_path TO signal, public;");
+        return config;
+    }
+
+    @Bean
+    public DataSource collectDataSource(@Qualifier("collectHikariConfig") HikariConfig hikariConfig) {
+        // HikariConfig는 이미 @ConfigurationProperties로 설정이 주입되어 있음
+        HikariDataSource dataSource = new HikariDataSource(hikariConfig);
+        
+        log.info("Collect DataSource created:");
+        log.info("  - URL: {}", hikariConfig.getJdbcUrl());
+        log.info("  - Connection Init SQL: {}", hikariConfig.getConnectionInitSql());
+        log.info("  - Pool Name: {}", hikariConfig.getPoolName());
+        
+        // PostGIS 타입 등록 (선택사항)
+        try {
+            PostGISConfig.registerPostGISTypes(dataSource);
+        } catch (Exception e) {
+            log.warn("PostGIS type registration skipped: {}", e.getMessage());
+        }
+        
+        return dataSource;
+    }
+
+    @Bean(name = "devQueryHikariConfig")
+    @ConfigurationProperties(prefix = "spring.datasource.query")
+    public HikariConfig devQueryHikariConfig() {
+        HikariConfig config = new HikariConfig();
+        config.setConnectionInitSql("SET TIME ZONE 'Asia/Seoul'; SET search_path TO signal, public;");
+        return config;
+    }
+
+    @Bean
+    public DataSource queryDataSource(@Qualifier("devQueryHikariConfig") HikariConfig hikariConfig) {
+        HikariDataSource dataSource = new HikariDataSource(hikariConfig);
+        
+        log.info("Query DataSource created:");
+        log.info("  - URL: {}", hikariConfig.getJdbcUrl());
+        log.info("  - Connection Init SQL: {}", hikariConfig.getConnectionInitSql());
+        log.info("  - Pool Name: {}", hikariConfig.getPoolName());
+        
+        // PostGIS 타입 등록 (선택사항)
+        try {
+            PostGISConfig.registerPostGISTypes(dataSource);
+        } catch (Exception e) {
+            log.warn("PostGIS type registration skipped: {}", e.getMessage());
+        }
+        
+        return dataSource;
+    }
+
+    @Bean
+    @ConfigurationProperties(prefix = "spring.datasource.batch")
+    public HikariConfig batchHikariConfig() {
+        HikariConfig config = new HikariConfig();
+        config.setConnectionInitSql("SET TIME ZONE 'Asia/Seoul'");
+        return config;
+    }
+
+    @Bean
+    @Primary
+    public DataSource batchDataSource(@Qualifier("batchHikariConfig") HikariConfig hikariConfig) {
+        HikariDataSource dataSource = new HikariDataSource(hikariConfig);
+        
+        log.info("Batch DataSource created:");
+        log.info("  - URL: {}", hikariConfig.getJdbcUrl());
+        log.info("  - Connection Init SQL: {}", hikariConfig.getConnectionInitSql());
+        log.info("  - Pool Name: {}", hikariConfig.getPoolName());
+        
+        // PostGIS 타입 등록 (선택사항)
+        try {
+            PostGISConfig.registerPostGISTypes(dataSource);
+        } catch (Exception e) {
+            log.warn("PostGIS type registration skipped: {}", e.getMessage());
+        }
+        
+        return dataSource;
+    }
+
+    @Bean
+    public DataSource dataSource(@Qualifier("batchDataSource") DataSource batchDataSource) {
+        return batchDataSource;
+    }
+
+    @Bean
+    public PlatformTransactionManager transactionManager(@Qualifier("collectDataSource") DataSource dataSource) {
+        return new DataSourceTransactionManager(dataSource);
+    }
+    
+    @Bean
+    public PlatformTransactionManager queryTransactionManager(@Qualifier("queryDataSource") DataSource dataSource) {
+        return new DataSourceTransactionManager(dataSource);
+    }
+
+    @Bean
+    @Primary
+    public PlatformTransactionManager batchTransactionManager(@Qualifier("batchDataSource") DataSource dataSource) {
+        return new DataSourceTransactionManager(dataSource);
+    }
+
+    @Bean(name = "collectJdbcTemplate")
+    public JdbcTemplate collectJdbcTemplate(@Qualifier("collectDataSource") DataSource dataSource) {
+        JdbcTemplate jdbcTemplate = new JdbcTemplate(dataSource);
+        jdbcTemplate.setFetchSize(10000);
+        jdbcTemplate.setQueryTimeout(300);
+        return jdbcTemplate;
+    }
+
+    @Bean(name = "queryJdbcTemplate")
+    public JdbcTemplate queryJdbcTemplate(@Qualifier("queryDataSource") DataSource dataSource) {
+        JdbcTemplate jdbcTemplate = new JdbcTemplate(dataSource);
+        jdbcTemplate.setQueryTimeout(300);
+        return jdbcTemplate;
+    }
+
+    @Bean(name = "collectNamedJdbcTemplate")
+    public NamedParameterJdbcTemplate collectNamedJdbcTemplate(@Qualifier("collectDataSource") DataSource dataSource) {
+        return new NamedParameterJdbcTemplate(dataSource);
+    }
+
+    @Bean(name = "queryNamedJdbcTemplate")
+    public NamedParameterJdbcTemplate queryNamedJdbcTemplate(@Qualifier("queryDataSource") DataSource dataSource) {
+        return new NamedParameterJdbcTemplate(dataSource);
+    }
+}

src/main/java/gc/mda/signal_batch/global/config/JacksonConfig.java

@@ -0,0 +1,41 @@
+package gc.mda.signal_batch.global.config;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.fasterxml.jackson.databind.SerializationFeature;
+import com.fasterxml.jackson.datatype.jsr310.JavaTimeModule;
+import com.fasterxml.jackson.datatype.jsr310.deser.LocalDateTimeDeserializer;
+import com.fasterxml.jackson.datatype.jsr310.ser.LocalDateTimeSerializer;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.context.annotation.Primary;
+import org.springframework.http.converter.json.Jackson2ObjectMapperBuilder;
+
+import java.time.LocalDateTime;
+import java.time.format.DateTimeFormatter;
+
+/**
+ * Jackson 설정
+ * LocalDateTime 직렬화/역직렬화 설정
+ */
+@Configuration
+public class JacksonConfig {
+
+    private static final DateTimeFormatter DATETIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd'T'HH:mm:ss");
+
+    @Bean
+    @Primary
+    public ObjectMapper objectMapper() {
+        JavaTimeModule javaTimeModule = new JavaTimeModule();
+        
+        // LocalDateTime 직렬화/역직렬화 설정
+        javaTimeModule.addSerializer(LocalDateTime.class, 
+            new LocalDateTimeSerializer(DATETIME_FORMATTER));
+        javaTimeModule.addDeserializer(LocalDateTime.class, 
+            new LocalDateTimeDeserializer(DATETIME_FORMATTER));
+        
+        return Jackson2ObjectMapperBuilder.json()
+                .modules(javaTimeModule)
+                .featuresToDisable(SerializationFeature.WRITE_DATES_AS_TIMESTAMPS)
+                .build();
+    }
+}

src/main/java/gc/mda/signal_batch/global/config/LocalDataSourceConfig.java

@@ -0,0 +1,97 @@
+package gc.mda.signal_batch.global.config;
+
+import com.zaxxer.hikari.HikariDataSource;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.boot.jdbc.DataSourceBuilder;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.context.annotation.Primary;
+import org.springframework.context.annotation.Profile;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.jdbc.datasource.DataSourceTransactionManager;
+import org.springframework.transaction.PlatformTransactionManager;
+
+import javax.sql.DataSource;
+
+
+@Configuration
+@Profile("local")
+public class LocalDataSourceConfig {
+
+    private final DataSourceConfigProperties properties;
+
+    public LocalDataSourceConfig(DataSourceConfigProperties properties) {
+        this.properties = properties;
+    }
+
+    @Bean
+    public DataSource collectDataSource() {
+        HikariDataSource dataSource = DataSourceBuilder.create()
+                .type(HikariDataSource.class)
+                .url(properties.getCollect().getJdbcUrl())
+                .username(properties.getCollect().getUsername())
+                .password(properties.getCollect().getPassword())
+                .driverClassName(properties.getCollect().getDriverClassName())
+                .build();
+        return dataSource;
+    }
+
+
+    @Bean
+    public DataSource queryDataSource() {
+        HikariDataSource dataSource = DataSourceBuilder.create()
+                .type(HikariDataSource.class)
+                .url(properties.getQuery().getJdbcUrl())
+                .username(properties.getQuery().getUsername())
+                .password(properties.getQuery().getPassword())
+                .driverClassName(properties.getQuery().getDriverClassName())
+                .build();
+        return dataSource;
+    }
+
+    @Bean
+    @Primary
+    public DataSource batchDataSource() {
+        HikariDataSource dataSource = DataSourceBuilder.create()
+                .type(HikariDataSource.class)
+                .url(properties.getBatch().getJdbcUrl())
+                .username(properties.getBatch().getUsername())
+                .password(properties.getBatch().getPassword())
+                .driverClassName(properties.getBatch().getDriverClassName())
+                .build();
+        return dataSource;
+    }
+
+    // Spring Batch가 찾는 기본 dataSource 빈
+    @Bean
+    public DataSource dataSource(@Qualifier("batchDataSource") DataSource batchDataSource) {
+        return batchDataSource;
+    }
+
+    // 나머지 빈들은 동일...
+    @Bean
+    public PlatformTransactionManager transactionManager(@Qualifier("collectDataSource") DataSource dataSource) {
+        return new DataSourceTransactionManager(dataSource);
+    }
+
+    @Bean
+    @Primary
+    public PlatformTransactionManager batchTransactionManager(@Qualifier("batchDataSource") DataSource dataSource) {
+        return new DataSourceTransactionManager(dataSource);
+    }
+
+    @Bean(name = "collectJdbcTemplate")
+    public JdbcTemplate collectJdbcTemplate(@Qualifier("collectDataSource") DataSource dataSource) {
+        JdbcTemplate jdbcTemplate = new JdbcTemplate(dataSource);
+        jdbcTemplate.setFetchSize(10000);
+        jdbcTemplate.setQueryTimeout(300);
+        return jdbcTemplate;
+    }
+
+    @Bean(name = "queryJdbcTemplate")
+    public JdbcTemplate queryJdbcTemplate(@Qualifier("queryDataSource") DataSource dataSource) {
+        JdbcTemplate jdbcTemplate = new JdbcTemplate(dataSource);
+        jdbcTemplate.setQueryTimeout(300);
+        return jdbcTemplate;
+    }
+}

src/main/java/gc/mda/signal_batch/global/config/PartitionRetentionConfig.java

@@ -0,0 +1,172 @@
+package gc.mda.signal_batch.global.config;
+
+import lombok.Data;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.boot.context.properties.ConfigurationProperties;
+import org.springframework.stereotype.Component;
+
+import jakarta.annotation.PostConstruct;
+import java.util.HashMap;
+import java.util.Map;
+
+/**
+ * 파티션 보관 기간 설정
+ *
+ * <p>관리 대상: queryDB 파티션 테이블만</p>
+ * <ul>
+ *   <li>일별 파티션: 일(day) 단위 retention</li>
+ *   <li>월별 파티션: 월(month) 단위 retention</li>
+ *   <li>무한 보관: retention 값을 0 또는 -1로 설정</li>
+ * </ul>
+ */
+@Slf4j
+@Data
+@Component
+@ConfigurationProperties(prefix = "vessel.batch.partition")
+public class PartitionRetentionConfig {
+
+    /**
+     * 미래 파티션 생성 기간 (일)
+     */
+    private int futureDays = 7;
+
+    /**
+     * 파티션 자동 생성 활성화
+     */
+    private boolean enableAutoManagement = true;
+
+    /**
+     * 파티션 자동 정리 활성화
+     */
+    private boolean enableAutoCleanup = true;
+
+    /**
+     * 기본 보관 기간 설정
+     */
+    private DefaultRetention defaultRetention = new DefaultRetention();
+
+    /**
+     * 테이블별 보관 기간 설정
+     * <p>Key: 테이블명, Value: TableRetention</p>
+     */
+    private Map<String, TableRetention> tables = new HashMap<>();
+
+    @PostConstruct
+    public void initialize() {
+        log.info("========== Partition Retention Configuration ==========");
+        log.info("Management Target: queryDB only");
+        log.info("Auto Management: {}", enableAutoManagement);
+        log.info("Auto Cleanup: {}", enableAutoCleanup);
+        log.info("Future Days: {}", futureDays);
+        log.info("");
+        log.info("Default Retention:");
+        log.info("  - Daily Partitions: {} days{}",
+                defaultRetention.getDailyPartitionsRetentionDays(),
+                defaultRetention.getDailyPartitionsRetentionDays() <= 0 ? " (unlimited)" : "");
+        log.info("  - Monthly Partitions: {} months{}",
+                defaultRetention.getMonthlyPartitionsRetentionMonths(),
+                defaultRetention.getMonthlyPartitionsRetentionMonths() <= 0 ? " (unlimited)" : "");
+
+        if (!tables.isEmpty()) {
+            log.info("");
+            log.info("Table-specific Retention:");
+            tables.forEach((tableName, retention) -> {
+                if (retention.getRetentionDays() != null) {
+                    String status = retention.getRetentionDays() <= 0 ? " (unlimited)" : " days";
+                    log.info("  - {}: {}{}", tableName, retention.getRetentionDays(), status);
+                }
+                if (retention.getRetentionMonths() != null) {
+                    String status = retention.getRetentionMonths() <= 0 ? " (unlimited)" : " months";
+                    log.info("  - {}: {}{}", tableName, retention.getRetentionMonths(), status);
+                }
+            });
+        }
+        log.info("=======================================================");
+    }
+
+    /**
+     * 일별 파티션 테이블의 보관 기간 조회 (일 단위)
+     *
+     * @param tableName 테이블명
+     * @return 보관 기간 (일), 0 이하면 무한 보관
+     */
+    public int getRetentionDays(String tableName) {
+        TableRetention config = tables.get(tableName);
+        if (config != null && config.getRetentionDays() != null) {
+            return config.getRetentionDays();
+        }
+        return defaultRetention.getDailyPartitionsRetentionDays();
+    }
+
+    /**
+     * 월별 파티션 테이블의 보관 기간 조회 (월 단위)
+     *
+     * @param tableName 테이블명
+     * @return 보관 기간 (월), 0 이하면 무한 보관
+     */
+    public int getRetentionMonths(String tableName) {
+        TableRetention config = tables.get(tableName);
+        if (config != null && config.getRetentionMonths() != null) {
+            return config.getRetentionMonths();
+        }
+        return defaultRetention.getMonthlyPartitionsRetentionMonths();
+    }
+
+    /**
+     * 테이블의 보관 기간이 무한인지 확인 (일별 파티션)
+     */
+    public boolean isUnlimitedRetentionDays(String tableName) {
+        return getRetentionDays(tableName) <= 0;
+    }
+
+    /**
+     * 테이블의 보관 기간이 무한인지 확인 (월별 파티션)
+     */
+    public boolean isUnlimitedRetentionMonths(String tableName) {
+        return getRetentionMonths(tableName) <= 0;
+    }
+
+    /**
+     * 기본 보관 기간 설정
+     */
+    @Data
+    public static class DefaultRetention {
+        /**
+         * 일별 파티션의 기본 보관 기간 (일)
+         * <p>0 이하: 무한 보관</p>
+         */
+        private int dailyPartitionsRetentionDays = 7;
+
+        /**
+         * 월별 파티션의 기본 보관 기간 (월)
+         * <p>0 이하: 무한 보관</p>
+         */
+        private int monthlyPartitionsRetentionMonths = 2;
+    }
+
+    /**
+     * 테이블별 보관 기간 설정
+     */
+    @Data
+    public static class TableRetention {
+        /**
+         * 일별 파티션용 보관 기간 (일)
+         * <ul>
+         *   <li>null: 기본값 사용</li>
+         *   <li>0 이하: 무한 보관</li>
+         *   <li>양수: 해당 일수만큼 보관</li>
+         * </ul>
+         */
+        private Integer retentionDays;
+
+        /**
+         * 월별 파티션용 보관 기간 (월)
+         * <ul>
+         *   <li>null: 기본값 사용</li>
+         *   <li>0 이하: 무한 보관</li>
+         *   <li>양수: 해당 월수만큼 보관</li>
+         * </ul>
+         */
+        private Integer retentionMonths;
+    }
+}

src/main/java/gc/mda/signal_batch/global/config/PerformanceOptimizationProperties.java

@@ -0,0 +1,44 @@
+package gc.mda.signal_batch.global.config;
+
+import lombok.Data;
+import org.springframework.boot.context.properties.ConfigurationProperties;
+import org.springframework.context.annotation.Configuration;
+
+/**
+ * 성능 최적화 설정
+ */
+@Data
+@Configuration
+@ConfigurationProperties(prefix = "vessel.batch.optimization")
+public class PerformanceOptimizationProperties {
+    
+    private boolean enabled = true;
+    private boolean dynamicChunkSizing = true;
+    private boolean memoryOptimization = true;
+    private boolean cacheOptimization = true;
+    private boolean threadPoolOptimization = true;
+    
+    private ChunkSettings chunk = new ChunkSettings();
+    private MemorySettings memory = new MemorySettings();
+    private CacheSettings cache = new CacheSettings();
+    
+    @Data
+    public static class ChunkSettings {
+        private int minSize = 1000;
+        private int maxSize = 20000;
+        private double adjustmentFactor = 0.2;
+    }
+    
+    @Data
+    public static class MemorySettings {
+        private int warningThreshold = 70;
+        private int criticalThreshold = 85;
+        private int optimizationThreshold = 80;
+    }
+    
+    @Data
+    public static class CacheSettings {
+        private int minHitRate = 70;
+        private int areaBoundarySize = 5000;
+    }
+}

src/main/java/gc/mda/signal_batch/global/config/PostGISConfig.java

@@ -0,0 +1,38 @@
+package gc.mda.signal_batch.global.config;
+
+import javax.sql.DataSource;
+import java.sql.Connection;
+import java.sql.Statement;
+
+import org.springframework.context.annotation.Configuration;
+
+@Configuration
+public class PostGISConfig {
+
+    /**
+     * PostGIS 관련 설정
+     */
+    public static void registerPostGISTypes(DataSource dataSource) {
+        try (Connection conn = dataSource.getConnection();
+             Statement stmt = conn.createStatement()) {
+
+            // search_path는 connection-init-sql에서 설정하므로 여기서는 하지 않음
+            // 각 datasource별로 다른 search_path가 필요할 수 있기 때문
+
+            // bytea 출력 형식 설정 (geometry 타입 처리를 위해)
+            stmt.execute("SET bytea_output = 'hex'");
+
+            // PostGIS 함수들이 사용 가능한지 간단히 테스트
+            // 실패해도 무시 - 실제 쿼리에서 PostGIS 함수 사용 시 오류 발생
+            try {
+                stmt.execute("SELECT 1 WHERE EXISTS (SELECT 1 FROM pg_proc WHERE proname = 'st_makepoint')");
+            } catch (Exception ignored) {
+                // PostGIS 함수 확인 실패 - 무시
+            }
+
+        } catch (Exception e) {
+            // 연결 실패 시에만 경고
+            System.err.println("Warning: Failed to configure PostGIS settings: " + e.getMessage());
+        }
+    }
+}

src/main/java/gc/mda/signal_batch/global/config/ProdDataSourceConfig.java

@@ -0,0 +1,125 @@
+package gc.mda.signal_batch.global.config;
+
+import com.zaxxer.hikari.HikariDataSource;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.boot.jdbc.DataSourceBuilder;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.context.annotation.Primary;
+import org.springframework.context.annotation.Profile;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.jdbc.core.namedparam.NamedParameterJdbcTemplate;
+import org.springframework.jdbc.datasource.DataSourceTransactionManager;
+import org.springframework.transaction.PlatformTransactionManager;
+
+import javax.sql.DataSource;
+
+@Configuration
+@Profile("prod")
+public class ProdDataSourceConfig {
+
+    private final DataSourceConfigProperties properties;
+
+    public ProdDataSourceConfig(DataSourceConfigProperties properties) {
+        this.properties = properties;
+    }
+
+    @Bean
+    public DataSource collectDataSource() {
+        HikariDataSource dataSource = DataSourceBuilder.create()
+                .type(HikariDataSource.class)
+                .url(properties.getCollect().getJdbcUrl())
+                .username(properties.getCollect().getUsername())
+                .password(properties.getCollect().getPassword())
+                .driverClassName(properties.getCollect().getDriverClassName())
+                .build();
+        return dataSource;
+    }
+
+
+    @Bean
+    public DataSource queryDataSource() {
+        System.out.println("========================================");
+        System.out.println("!!! CREATING queryDataSource !!!");
+        System.out.println("URL: " + properties.getQuery().getJdbcUrl());
+        System.out.println("Username: " + properties.getQuery().getUsername());
+        System.out.println("========================================");
+
+        HikariDataSource dataSource = DataSourceBuilder.create()
+                .type(HikariDataSource.class)
+                .url(properties.getQuery().getJdbcUrl())
+                .username(properties.getQuery().getUsername())
+                .password(properties.getQuery().getPassword())
+                .driverClassName(properties.getQuery().getDriverClassName())
+                .build();
+        return dataSource;
+    }
+
+    @Bean
+    @Primary
+    public DataSource batchDataSource() {
+        System.out.println("========================================");
+        System.out.println("!!! CREATING batchDataSource (PRIMARY) !!!");
+        System.out.println("URL: " + properties.getBatch().getJdbcUrl());
+        System.out.println("Username: " + properties.getBatch().getUsername());
+        System.out.println("========================================");
+
+        HikariDataSource dataSource = DataSourceBuilder.create()
+                .type(HikariDataSource.class)
+                .url(properties.getBatch().getJdbcUrl())
+                .username(properties.getBatch().getUsername())
+                .password(properties.getBatch().getPassword())
+                .driverClassName(properties.getBatch().getDriverClassName())
+                .build();
+        return dataSource;
+    }
+
+    // Spring Batch가 찾는 기본 dataSource 빈
+    @Bean
+    public DataSource dataSource(@Qualifier("batchDataSource") DataSource batchDataSource) {
+        return batchDataSource;
+    }
+
+    // Transaction Manager 설정
+    @Bean
+    public PlatformTransactionManager transactionManager(@Qualifier("collectDataSource") DataSource dataSource) {
+        return new DataSourceTransactionManager(dataSource);
+    }
+
+    @Bean(name = "queryTransactionManager")
+    public PlatformTransactionManager queryTransactionManager(@Qualifier("queryDataSource") DataSource dataSource) {
+        return new DataSourceTransactionManager(dataSource);
+    }
+
+    @Bean
+    @Primary
+    public PlatformTransactionManager batchTransactionManager(@Qualifier("batchDataSource") DataSource dataSource) {
+        return new DataSourceTransactionManager(dataSource);
+    }
+
+    // JdbcTemplate 빈 설정
+    @Bean(name = "collectJdbcTemplate")
+    public JdbcTemplate collectJdbcTemplate(@Qualifier("collectDataSource") DataSource dataSource) {
+        JdbcTemplate jdbcTemplate = new JdbcTemplate(dataSource);
+        jdbcTemplate.setFetchSize(10000);
+        jdbcTemplate.setQueryTimeout(300);
+        return jdbcTemplate;
+    }
+
+    @Bean(name = "queryJdbcTemplate")
+    public JdbcTemplate queryJdbcTemplate(@Qualifier("queryDataSource") DataSource dataSource) {
+        JdbcTemplate jdbcTemplate = new JdbcTemplate(dataSource);
+        jdbcTemplate.setQueryTimeout(300);
+        return jdbcTemplate;
+    }
+
+    @Bean(name = "collectNamedJdbcTemplate")
+    public NamedParameterJdbcTemplate collectNamedJdbcTemplate(@Qualifier("collectDataSource") DataSource dataSource) {
+        return new NamedParameterJdbcTemplate(dataSource);
+    }
+
+    @Bean(name = "queryNamedJdbcTemplate")
+    public NamedParameterJdbcTemplate queryNamedJdbcTemplate(@Qualifier("queryDataSource") DataSource dataSource) {
+        return new NamedParameterJdbcTemplate(dataSource);
+    }
+}

src/main/java/gc/mda/signal_batch/global/config/QueryDataSourceConfig.java

@@ -0,0 +1,90 @@
+package gc.mda.signal_batch.global.config;
+
+import com.zaxxer.hikari.HikariDataSource;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.boot.autoconfigure.jdbc.DataSourceProperties;
+import org.springframework.boot.context.properties.ConfigurationProperties;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.context.annotation.Primary;
+import org.springframework.context.annotation.Profile;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.jdbc.core.namedparam.NamedParameterJdbcTemplate;
+import org.springframework.jdbc.datasource.DataSourceTransactionManager;
+import org.springframework.transaction.PlatformTransactionManager;
+
+import javax.sql.DataSource;
+
+/**
+ * 조회 전용 서버 DataSource 설정
+ * - query 프로파일에서만 활성화
+ * - application-query.yml의 spring.datasource 설정 사용
+ */
+@Slf4j
+@Configuration
+@Profile("query")
+public class QueryDataSourceConfig {
+
+    @Bean
+    @Primary
+    @ConfigurationProperties("spring.datasource")
+    public DataSourceProperties dataSourceProperties() {
+        return new DataSourceProperties();
+    }
+
+    @Bean
+    @Primary
+    @ConfigurationProperties("spring.datasource.hikari")
+    public DataSource dataSource(DataSourceProperties properties) {
+        log.info("Creating primary DataSource for query-only server");
+        HikariDataSource dataSource = properties.initializeDataSourceBuilder()
+                .type(HikariDataSource.class)
+                .build();
+        log.info("Query DataSource configured: {}", properties.getUrl());
+        return dataSource;
+    }
+
+    @Bean(name = "queryDataSource")
+    public DataSource queryDataSource(@Qualifier("dataSource") DataSource dataSource) {
+        log.info("Aliasing primary DataSource as queryDataSource");
+        return dataSource;
+    }
+
+    @Bean(name = "queryJdbcTemplate")
+    public JdbcTemplate queryJdbcTemplate(@Qualifier("dataSource") DataSource dataSource) {
+        JdbcTemplate jdbcTemplate = new JdbcTemplate(dataSource);
+        jdbcTemplate.setQueryTimeout(300);
+        log.info("QueryJdbcTemplate created for query-only server");
+        return jdbcTemplate;
+    }
+
+    @Bean(name = "queryNamedJdbcTemplate")
+    public NamedParameterJdbcTemplate queryNamedJdbcTemplate(@Qualifier("dataSource") DataSource dataSource) {
+        return new NamedParameterJdbcTemplate(dataSource);
+    }
+
+    @Bean(name = "queryTransactionManager")
+    @Primary
+    public PlatformTransactionManager queryTransactionManager(@Qualifier("dataSource") DataSource dataSource) {
+        return new DataSourceTransactionManager(dataSource);
+    }
+
+    // collectJdbcTemplate이 필요한 경우를 위한 별칭 (query DB를 사용)
+    @Bean(name = "collectJdbcTemplate")
+    public JdbcTemplate collectJdbcTemplate(@Qualifier("queryJdbcTemplate") JdbcTemplate queryJdbcTemplate) {
+        log.info("CollectJdbcTemplate aliased to QueryJdbcTemplate (query-only mode)");
+        return queryJdbcTemplate;
+    }
+
+    @Bean(name = "collectNamedJdbcTemplate")
+    public NamedParameterJdbcTemplate collectNamedJdbcTemplate(@Qualifier("queryNamedJdbcTemplate") NamedParameterJdbcTemplate queryNamedJdbcTemplate) {
+        return queryNamedJdbcTemplate;
+    }
+
+    @Bean(name = "collectDataSource")
+    public DataSource collectDataSource(@Qualifier("dataSource") DataSource dataSource) {
+        log.info("CollectDataSource aliased to primary DataSource (query-only mode)");
+        return dataSource;
+    }
+}

src/main/java/gc/mda/signal_batch/global/config/RetryConfig.java

@@ -0,0 +1,39 @@
+package gc.mda.signal_batch.global.config;
+
+import org.springframework.context.annotation.Configuration;
+import org.springframework.retry.annotation.EnableRetry;
+import org.springframework.context.annotation.Bean;
+import org.springframework.retry.backoff.ExponentialBackOffPolicy;
+import org.springframework.retry.policy.SimpleRetryPolicy;
+import org.springframework.retry.support.RetryTemplate;
+
+import java.util.HashMap;
+import java.util.Map;
+
+@Configuration
+@EnableRetry
+public class RetryConfig {
+
+    @Bean
+    public RetryTemplate retryTemplate() {
+        RetryTemplate retryTemplate = new RetryTemplate();
+
+        // 재시도 정책
+        Map<Class<? extends Throwable>, Boolean> retryableExceptions = new HashMap<>();
+        retryableExceptions.put(org.springframework.dao.ConcurrencyFailureException.class, true);
+        retryableExceptions.put(org.springframework.dao.CannotAcquireLockException.class, true);
+        retryableExceptions.put(org.springframework.dao.TransientDataAccessResourceException.class, true);
+
+        SimpleRetryPolicy retryPolicy = new SimpleRetryPolicy(3, retryableExceptions);
+        retryTemplate.setRetryPolicy(retryPolicy);
+
+        // Backoff 정책
+        ExponentialBackOffPolicy backOffPolicy = new ExponentialBackOffPolicy();
+        backOffPolicy.setInitialInterval(100);
+        backOffPolicy.setMaxInterval(5000);
+        backOffPolicy.setMultiplier(2);
+        retryTemplate.setBackOffPolicy(backOffPolicy);
+
+        return retryTemplate;
+    }
+}

src/main/java/gc/mda/signal_batch/global/config/SchedulerConfig.java

@@ -0,0 +1,28 @@
+package gc.mda.signal_batch.global.config;
+
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.context.annotation.Profile;
+import org.springframework.scheduling.TaskScheduler;
+import org.springframework.scheduling.annotation.EnableScheduling;
+import org.springframework.scheduling.concurrent.ThreadPoolTaskScheduler;
+
+@Configuration
+@EnableScheduling
+@Profile("!query")  // query 프로파일에서는 배치 스케줄러 비활성화
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class SchedulerConfig {
+
+    @Bean
+    public TaskScheduler taskScheduler() {
+        ThreadPoolTaskScheduler scheduler = new ThreadPoolTaskScheduler();
+        scheduler.setPoolSize(1);  // 중복 실행 방지를 위해 1로 설정
+        scheduler.setThreadNamePrefix("batch-scheduler-");
+        scheduler.setAwaitTerminationSeconds(60);
+        scheduler.setWaitForTasksToCompleteOnShutdown(true);
+        scheduler.setRejectedExecutionHandler(new java.util.concurrent.ThreadPoolExecutor.CallerRunsPolicy());
+        scheduler.initialize();
+        return scheduler;
+    }
+}

src/main/java/gc/mda/signal_batch/global/config/SwaggerConfig.java

@@ -0,0 +1,128 @@
+package gc.mda.signal_batch.global.config;
+
+import io.swagger.v3.oas.annotations.OpenAPIDefinition;
+import io.swagger.v3.oas.annotations.info.Contact;
+import io.swagger.v3.oas.annotations.info.Info;
+import io.swagger.v3.oas.annotations.info.License;
+import io.swagger.v3.oas.annotations.servers.Server;
+import org.springdoc.core.models.GroupedOpenApi;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+
+@Configuration
+@OpenAPIDefinition(
+    info = @Info(
+        title = "선박 항적 집계 및 조회 시스템 API",
+        version = "2.0.0",
+        description = """
+            실시간 선박 위치 데이터를 계층적으로 집계하여 빠른 항적 조회 성능을 제공하는 시스템
+            
+            ## 핵심 기능
+            ### 1. 계층적 항적 데이터 집계
+            - **5분 단위 집계**: 실시간 선박 위치를 5분마다 LineStringM 형식의 항적으로 변환
+            - **1시간 단위 집계**: 5분 데이터를 시간별로 병합 (매시 10분 실행)
+            - **1일 단위 집계**: 시간별 데이터를 일별로 병합 (매일 01:00 실행)
+            
+            ### 2. 공간 기반 항적 관리
+            - **해구별 집계**: 대해구(0.5°×0.5°) 및 소해구(대해구 3×3 분할) 단위 항적 저장
+            - **사용자 정의 영역**: 임의 폴리곤 영역별 항적 집계
+            - **타일 기반 조회**: 줌 레벨에 따른 동적 데이터 간소화
+            
+            ### 3. 비정상 항적 검출 및 필터링
+            - **실시간 검출**: 물리적 불가능 항적 자동 필터링 (속도 100knots, 거리 10nm/5분 초과)
+            - **항공기 예외처리**: sig_src_cd='000019' 항공기는 300knots/30nm 기준 적용
+            - **분리 저장**: 비정상 항적은 별도 테이블(t_abnormal_tracks)에 보관
+            
+            ### 4. WebSocket 기반 대용량 항적 스트리밍
+            - **STOMP over WebSocket**: 실시간 양방향 통신
+            - **청크 스트리밍**: 대용량 데이터를 작은 단위로 분할 전송
+            - **적응형 간소화**: 조회 범위와 기간에 따른 자동 데이터 최적화
+            - **병렬 처리**: Daily → Hourly → 5min 순서로 병렬 조회
+            
+            ### 5. 실시간 모니터링 대시보드
+            - **GIS 시각화**: deck.gl 기반 해구/영역별 선박 분포 표시
+            - **항적 애니메이션**: 시간 흐름에 따른 선박 이동 재생
+            - **성능 모니터링**: 배치 Job 실행 상태, 처리 통계, 시스템 리소스 실시간 확인
+            
+            ## 데이터 구조
+            - **항적 형식**: PostGIS LineStringM (X: 경도, Y: 위도, M: 시간)
+            - **위치 정보**: JSONB {lat, lon, time, sog}
+            - **집계 통계**: vessel_count, total_distance, avg_speed
+            
+            ## 시스템 아키텍처
+            ```
+            CollectDB (실시간) → Spring Batch (집계) → QueryDB (조회)
+                                        ↓
+                                   BatchDB (메타)
+            ```
+            """,
+        contact = @Contact(
+            name = "Signal Batch Team",
+            email = "signal-batch@mda.gc"
+        ),
+        license = @License(
+            name = "Internal Use Only"
+        )
+    ),
+    servers = {
+            @Server(url = "http://10.26.252.48:8090", description = "Development Server (QueryDB)"),
+            @Server(url = "http://10.26.252.39:8090", description = "Production Server"),
+            @Server(url = "http://localhost:8090", description = "Local Development Server")
+    }
+)
+public class SwaggerConfig {
+
+    @Bean
+    public GroupedOpenApi trackApi() {
+        return GroupedOpenApi.builder()
+                .group("1-track-api")
+                .displayName("항적 조회 API")
+                .pathsToMatch("/api/v1/tracks/**", "/api/v1/haegu/**", "/api/v1/areas/**", "/api/v1/passages/**", "/api/v1/vessels/**")
+                .build();
+    }
+
+    @Bean
+    public GroupedOpenApi abnormalTrackApi() {
+        return GroupedOpenApi.builder()
+                .group("2-abnormal-track-api")
+                .displayName("비정상 항적 검출 API")
+                .pathsToMatch("/api/v1/abnormal-tracks/**")
+                .build();
+    }
+
+    @Bean
+    public GroupedOpenApi tileApi() {
+        return GroupedOpenApi.builder()
+                .group("3-tile-api")
+                .displayName("타일 집계 API")
+                .pathsToMatch("/api/v1/tiles/**", "/api/tiles/**")
+                .build();
+    }
+
+    @Bean
+    public GroupedOpenApi performanceApi() {
+        return GroupedOpenApi.builder()
+                .group("4-performance-api")
+                .displayName("성능 최적화 API")
+                .pathsToMatch("/api/v1/performance/**")
+                .build();
+    }
+
+    @Bean
+    public GroupedOpenApi adminApi() {
+        return GroupedOpenApi.builder()
+                .group("5-admin-api")
+                .displayName("관리자 API")
+                .pathsToMatch("/admin/**")
+                .build();
+    }
+
+    @Bean
+    public GroupedOpenApi monitoringApi() {
+        return GroupedOpenApi.builder()
+                .group("6-monitoring-api")
+                .displayName("모니터링 API")
+                .pathsToMatch("/monitor/**", "/actuator/**", "/api/websocket/**")
+                .build();
+    }
+}

src/main/java/gc/mda/signal_batch/global/config/WebMvcConfig.java

@@ -0,0 +1,41 @@
+package gc.mda.signal_batch.global.config;
+
+import org.springframework.context.annotation.Configuration;
+import org.springframework.web.servlet.config.annotation.CorsRegistry;
+import org.springframework.web.servlet.config.annotation.ResourceHandlerRegistry;
+import org.springframework.web.servlet.config.annotation.ViewControllerRegistry;
+import org.springframework.web.servlet.config.annotation.WebMvcConfigurer;
+
+
+@Configuration
+public class WebMvcConfig implements WebMvcConfigurer {
+    
+    @Override
+    public void addResourceHandlers(ResourceHandlerRegistry registry) {
+        // 로컬 타일 리소스 매핑 (대안 방법)
+        registry.addResourceHandler("/tiles/**")
+                .addResourceLocations("file:///devdata/MAPS/")
+                .setCachePeriod(86400); // 24시간 캐시
+        
+        // 기본 정적 리소스
+        registry.addResourceHandler("/static/**")
+                .addResourceLocations("classpath:/static/");
+    }
+    
+    @Override
+    public void addCorsMappings(CorsRegistry registry) {
+        // CORS 설정 (필요시)
+        registry.addMapping("/api/**")
+                .allowedOrigins("*")
+                .allowedMethods("GET", "POST", "PUT", "DELETE")
+                .allowedHeaders("*")
+                .maxAge(3600);
+    }
+    
+    @Override
+    public void addViewControllers(ViewControllerRegistry registry) {
+        // 루트 경로를 관리자 페이지로 리다이렉트
+        registry.addRedirectViewController("/", "/admin/batch-admin.html");
+        registry.addRedirectViewController("/index.html", "/admin/batch-admin.html");
+    }
+}

src/main/java/gc/mda/signal_batch/global/config/WebSocketStompConfig.java

@@ -0,0 +1,223 @@
+package gc.mda.signal_batch.global.config;
+
+import gc.mda.signal_batch.global.websocket.interceptor.TrackQueryInterceptor;
+import gc.mda.signal_batch.monitoring.interceptor.WebSocketUsageLoggingInterceptor;
+import lombok.RequiredArgsConstructor;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.http.server.ServerHttpRequest;
+import org.springframework.messaging.converter.MappingJackson2MessageConverter;
+import org.springframework.messaging.converter.MessageConverter;
+import org.springframework.messaging.simp.config.ChannelRegistration;
+import org.springframework.messaging.simp.config.MessageBrokerRegistry;
+import org.springframework.scheduling.TaskScheduler;
+import org.springframework.scheduling.concurrent.ThreadPoolTaskScheduler;
+import org.springframework.web.socket.WebSocketHandler;
+import org.springframework.web.socket.config.annotation.*;
+import org.springframework.web.socket.server.HandshakeInterceptor;
+import org.springframework.web.socket.server.standard.ServletServerContainerFactoryBean;
+import org.springframework.web.socket.server.support.DefaultHandshakeHandler;
+import org.springframework.http.server.ServerHttpResponse;
+import org.springframework.http.server.ServletServerHttpRequest;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+
+import jakarta.servlet.http.HttpServletRequest;
+import java.security.Principal;
+import java.util.List;
+import java.util.Map;
+import java.util.UUID;
+
+
+@Configuration
+@EnableWebSocketMessageBroker
+@RequiredArgsConstructor
+public class WebSocketStompConfig implements WebSocketMessageBrokerConfigurer {
+
+    private final TrackQueryInterceptor trackQueryInterceptor;
+    private final WebSocketUsageLoggingInterceptor webSocketUsageLoggingInterceptor;
+    private final ObjectMapper objectMapper; // JacksonConfig에서 생성된 ObjectMapper 주입
+    
+    @Bean
+    public ServletServerContainerFactoryBean createWebSocketContainer() {
+        ServletServerContainerFactoryBean container = new ServletServerContainerFactoryBean();
+        container.setMaxTextMessageBufferSize(256 * 1024 * 1024); // 256MB로 증가
+        container.setMaxBinaryMessageBufferSize(256 * 1024 * 1024); // 256MB로 증가
+        container.setMaxSessionIdleTimeout(60000L);
+        return container;
+    }
+
+    @Override
+    public void registerStompEndpoints(StompEndpointRegistry registry) {
+        // 1. 네이티브 WebSocket 엔드포인트 (프론트엔드 @stomp/stompjs 지원)
+        registry.addEndpoint("/ws-tracks")
+                .setHandshakeHandler(new CustomHandshakeHandler())
+                .addInterceptors(new ClientIpHandshakeInterceptor())
+                .setAllowedOriginPatterns("*");
+
+        // 2. SockJS 폴백 엔드포인트 (레거시 브라우저 및 기존 클라이언트 지원)
+        registry.addEndpoint("/ws-tracks")
+                .setHandshakeHandler(new CustomHandshakeHandler())
+                .addInterceptors(new ClientIpHandshakeInterceptor())
+                .setAllowedOriginPatterns("*")
+                .withSockJS()
+                .setClientLibraryUrl("/static/libs/js/sockjs.min.js")
+                .setStreamBytesLimit(100 * 1024 * 1024)  // 100MB로 증가
+                .setHttpMessageCacheSize(1000)
+                .setDisconnectDelay(30 * 1000)
+                .setWebSocketEnabled(true)
+                .setSuppressCors(false);
+    }
+
+    @Override
+    public void configureMessageBroker(MessageBrokerRegistry registry) {
+        // 인메모리 메시지 브로커 설정
+        registry.enableSimpleBroker("/topic", "/queue")
+                .setTaskScheduler(messageBrokerTaskScheduler())
+                .setHeartbeatValue(new long[]{10000, 10000}); // 서버/클라이언트 하트비트
+
+        // 애플리케이션 destination prefix
+        registry.setApplicationDestinationPrefixes("/app");
+        
+        // 사용자별 destination prefix
+        registry.setUserDestinationPrefix("/user");
+        
+        // 캐시 크기 제한
+        registry.setCacheLimit(2048);  // 1024 -> 2048로 증가
+    }
+
+    @Override
+    public void configureWebSocketTransport(WebSocketTransportRegistration registration) {
+        registration
+            .setMessageSizeLimit(50 * 1024 * 1024)      // 50MB로 증가
+            .setSendBufferSizeLimit(256 * 1024 * 1024)  // 256MB로 증가
+            .setSendTimeLimit(120 * 1000)               // 120초로 증가
+            .setTimeToFirstMessage(30 * 1000);         // 첫 메시지까지 30초
+        
+        // 에러 핸들러 등록은 별도로 처리
+    }
+
+    @Override
+    public void configureClientInboundChannel(ChannelRegistration registration) {
+        registration
+            .interceptors(webSocketUsageLoggingInterceptor, trackQueryInterceptor)
+            .taskExecutor()
+            .corePoolSize(10)
+            .maxPoolSize(20)
+            .queueCapacity(100);
+    }
+
+    @Override
+    public void configureClientOutboundChannel(ChannelRegistration registration) {
+        registration
+            .taskExecutor()
+            .corePoolSize(20)        // 10 -> 20로 증가
+            .maxPoolSize(40)         // 20 -> 40로 증가
+            .queueCapacity(5000);    // 1000 -> 5000로 증가
+    }
+
+    @Override
+    public boolean configureMessageConverters(List<MessageConverter> messageConverters) {
+        // Use the ObjectMapper from JacksonConfig which already has JavaTimeModule configured
+        MappingJackson2MessageConverter converter = new MappingJackson2MessageConverter();
+        converter.setObjectMapper(objectMapper);
+        converter.setPrettyPrint(false);
+        
+        // Clear default converters and add our custom one
+        messageConverters.clear();
+        messageConverters.add(converter);
+        
+        return true; // Don't add default converters
+    }
+
+    @Bean
+    public TaskScheduler messageBrokerTaskScheduler() {
+        ThreadPoolTaskScheduler scheduler = new ThreadPoolTaskScheduler();
+        scheduler.setPoolSize(4);
+        scheduler.setThreadNamePrefix("wsMsgBroker-");
+        scheduler.setAwaitTerminationSeconds(60);
+        scheduler.setWaitForTasksToCompleteOnShutdown(true);
+        scheduler.initialize();
+        return scheduler;
+    }
+
+    // 세션별 고유 ID 생성을 위한 HandshakeHandler
+    private static class CustomHandshakeHandler extends DefaultHandshakeHandler {
+        @Override
+        protected Principal determineUser(ServerHttpRequest request,
+                                        WebSocketHandler wsHandler,
+                                        Map<String, Object> attributes) {
+            return new StompPrincipal(UUID.randomUUID().toString());
+        }
+    }
+    
+    private static class StompPrincipal implements Principal {
+        private final String name;
+
+        public StompPrincipal(String name) {
+            this.name = name;
+        }
+
+        @Override
+        public String getName() {
+            return name;
+        }
+    }
+
+    // 클라이언트 IP 추출을 위한 HandshakeInterceptor
+    private static class ClientIpHandshakeInterceptor implements HandshakeInterceptor {
+
+        @Override
+        public boolean beforeHandshake(ServerHttpRequest request, ServerHttpResponse response,
+                                      WebSocketHandler wsHandler, Map<String, Object> attributes) {
+            // HTTP 요청에서 클라이언트 IP 추출
+            String clientIp = extractClientIp(request);
+            attributes.put("CLIENT_IP", clientIp);
+
+            // User-Agent 추출
+            if (request instanceof ServletServerHttpRequest) {
+                HttpServletRequest servletRequest = ((ServletServerHttpRequest) request).getServletRequest();
+                String userAgent = servletRequest.getHeader("User-Agent");
+                attributes.put("USER_AGENT", userAgent);
+            }
+
+            return true;
+        }
+
+        @Override
+        public void afterHandshake(ServerHttpRequest request, ServerHttpResponse response,
+                                  WebSocketHandler wsHandler, Exception exception) {
+            // 핸드셰이크 완료 후 처리 (필요시 사용)
+        }
+
+        private String extractClientIp(ServerHttpRequest request) {
+            if (request instanceof ServletServerHttpRequest) {
+                HttpServletRequest servletRequest = ((ServletServerHttpRequest) request).getServletRequest();
+
+                // X-Forwarded-For 헤더 확인 (프록시/로드밸런서 환경)
+                String xForwardedFor = servletRequest.getHeader("X-Forwarded-For");
+                if (xForwardedFor != null && !xForwardedFor.isEmpty()) {
+                    return xForwardedFor.split(",")[0].trim();
+                }
+
+                // X-Real-IP 헤더 확인
+                String xRealIp = servletRequest.getHeader("X-Real-IP");
+                if (xRealIp != null && !xRealIp.isEmpty()) {
+                    return xRealIp;
+                }
+
+                // X-Original-Forwarded-For 헤더 확인
+                String xOriginalFor = servletRequest.getHeader("X-Original-Forwarded-For");
+                if (xOriginalFor != null && !xOriginalFor.isEmpty()) {
+                    return xOriginalFor.split(",")[0].trim();
+                }
+
+                // 기본 Remote Address
+                return servletRequest.getRemoteAddr();
+            }
+
+            // ServletServerHttpRequest가 아닌 경우 기본값
+            return "unknown";
+        }
+    }
+}

src/main/java/gc/mda/signal_batch/global/tool/BatchDiagnosticTool.java

@@ -0,0 +1,427 @@
+package gc.mda.signal_batch.global.tool;
+
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.stereotype.Component;
+
+import java.time.LocalDate;
+import java.time.LocalDateTime;
+import java.time.format.DateTimeFormatter;
+import java.util.*;
+
+
+@Slf4j
+@Component
+@RequiredArgsConstructor
+public class BatchDiagnosticTool {
+
+    @Qualifier("collectJdbcTemplate")
+    private final JdbcTemplate collectJdbcTemplate;
+
+    @Qualifier("queryJdbcTemplate")
+    private final JdbcTemplate queryJdbcTemplate;
+
+    /**
+     * 종합 진단 실행
+     */
+    public DiagnosticReport runFullDiagnostic() {
+        log.info("Starting batch system diagnostic...");
+
+        DiagnosticReport report = new DiagnosticReport();
+        report.setTimestamp(LocalDateTime.now());
+
+        // 1. 데이터베이스 상태 확인
+        report.setDatabaseHealth(checkDatabaseHealth());
+
+        // 2. 파티션 상태 확인
+        report.setPartitionStatus(checkPartitionStatus());
+
+        // 3. 성능 메트릭 수집
+        report.setPerformanceMetrics(collectPerformanceMetrics());
+
+        // 4. 데이터 무결성 검사
+        report.setDataIntegrity(checkDataIntegrity());
+
+        // 5. 시스템 리소스 확인
+        report.setSystemResources(checkSystemResources());
+
+        // 6. 권장사항 생성
+        report.setRecommendations(generateRecommendations(report));
+
+        log.info("Diagnostic completed");
+        return report;
+    }
+
+    /**
+     * 데이터베이스 상태 확인
+     */
+    private DatabaseHealth checkDatabaseHealth() {
+        DatabaseHealth health = new DatabaseHealth();
+
+        // 연결 상태
+        health.setCollectDbConnected(testConnection(collectJdbcTemplate));
+        health.setQueryDbConnected(testConnection(queryJdbcTemplate));
+
+        // 활성 연결 수
+        health.setActiveConnections(getActiveConnections());
+
+        // 느린 쿼리
+        health.setSlowQueries(getSlowQueries());
+
+        // 테이블 크기
+        health.setTableSizes(getTableSizes());
+
+        // Lock 상황
+        health.setLockInfo(getLockInfo());
+
+        return health;
+    }
+
+    /**
+     * 파티션 상태 확인
+     */
+    private PartitionStatus checkPartitionStatus() {
+        PartitionStatus status = new PartitionStatus();
+
+        String sql = """
+            SELECT 
+                tablename,
+                pg_size_pretty(pg_total_relation_size(schemaname||'.'||tablename)) as size,
+                pg_total_relation_size(schemaname||'.'||tablename) as size_bytes
+            FROM pg_tables
+            WHERE schemaname = 'signal' 
+              AND tablename LIKE 'sig_test_%'
+            ORDER BY tablename
+        """;
+
+        List<Map<String, Object>> partitions = collectJdbcTemplate.queryForList(sql);
+
+        status.setTotalPartitions(partitions.size());
+        status.setPartitionDetails(partitions);
+
+        // 미래 파티션 확인
+        LocalDate tomorrow = LocalDate.now().plusDays(1);
+        String tomorrowPartition = "sig_test_" +
+                tomorrow.format(DateTimeFormatter.BASIC_ISO_DATE);
+
+        status.setHasFuturePartitions(
+                partitions.stream().anyMatch(p -> p.get("tablename").equals(tomorrowPartition))
+        );
+
+        // 가장 큰 파티션
+        partitions.stream()
+                .max(Comparator.comparing(p -> (Long) p.get("size_bytes")))
+                .ifPresent(p -> status.setLargestPartition(p));
+
+        return status;
+    }
+
+    /**
+     * 성능 메트릭 수집
+     */
+    private PerformanceMetrics collectPerformanceMetrics() {
+        PerformanceMetrics metrics = new PerformanceMetrics();
+
+        // 처리 속도
+        Map<String, Object> throughput = queryJdbcTemplate.queryForMap("""
+            SELECT 
+                COUNT(*) as records_last_hour,
+                COUNT(*) / 3600.0 as records_per_second
+            FROM signal.t_vessel_latest_position
+            WHERE last_update > NOW() - INTERVAL '1 hour'
+        """);
+
+        metrics.setRecordsLastHour(((Number) throughput.get("records_last_hour")).longValue());
+        metrics.setRecordsPerSecond(((Number) throughput.get("records_per_second")).doubleValue());
+
+        // 인덱스 효율성
+        List<Map<String, Object>> indexStats = collectJdbcTemplate.queryForList("""
+            SELECT 
+                indexrelname,
+                idx_scan,
+                idx_tup_read,
+                idx_tup_fetch,
+                pg_size_pretty(pg_relation_size(indexrelid)) as size
+            FROM pg_stat_user_indexes
+            WHERE schemaname = 'signal'
+              AND idx_scan > 0
+            ORDER BY idx_scan DESC
+            LIMIT 10
+        """);
+
+        metrics.setIndexEfficiency(indexStats);
+
+        // 캐시 히트율
+        Map<String, Object> cacheStats = collectJdbcTemplate.queryForMap("""
+            SELECT 
+                sum(heap_blks_read) as heap_read,
+                sum(heap_blks_hit) as heap_hit,
+                CASE WHEN sum(heap_blks_hit) + sum(heap_blks_read) > 0 THEN
+                    sum(heap_blks_hit)::float / (sum(heap_blks_hit) + sum(heap_blks_read))
+                ELSE 0 END as cache_hit_ratio
+            FROM pg_statio_user_tables
+        """);
+
+        metrics.setCacheHitRatio(((Number) cacheStats.get("cache_hit_ratio")).doubleValue());
+
+        return metrics;
+    }
+
+    /**
+     * 데이터 무결성 검사
+     */
+    private DataIntegrity checkDataIntegrity() {
+        DataIntegrity integrity = new DataIntegrity();
+
+        // 중복 데이터 확인
+        Long duplicates = collectJdbcTemplate.queryForObject("""
+            SELECT COUNT(*) FROM (
+                SELECT sig_src_cd, target_id, message_time, COUNT(*)
+                FROM signal.sig_test
+                WHERE message_time > NOW() - INTERVAL '1 day'
+                AND sig_src_cd != '000005'
+                AND length(target_id) > 5
+                GROUP BY sig_src_cd, target_id, message_time
+                HAVING COUNT(*) > 1
+            ) dup
+        """, Long.class);
+
+        integrity.setDuplicateRecords(duplicates);
+
+        // 누락된 시간대 확인
+        List<String> missingHours = collectJdbcTemplate.queryForList("""
+            WITH hours AS (
+                SELECT generate_series(
+                    NOW() - INTERVAL '24 hours',
+                    NOW(),
+                    INTERVAL '1 hour'
+                ) as hour
+            )
+            SELECT TO_CHAR(h.hour, 'YYYY-MM-DD HH24:00') as missing_hour
+            FROM hours h
+            LEFT JOIN (
+                SELECT DATE_TRUNC('hour', message_time) as data_hour
+                FROM signal.sig_test
+                WHERE message_time > NOW() - INTERVAL '24 hours'
+                GROUP BY DATE_TRUNC('hour', message_time)
+            ) d ON h.hour = d.data_hour
+            WHERE d.data_hour IS NULL
+        """, String.class);
+
+        integrity.setMissingTimeRanges(missingHours);
+
+        // 데이터 지연 확인
+        LocalDateTime latestData = collectJdbcTemplate.queryForObject(
+                "SELECT MAX(message_time) FROM signal.sig_test",
+                LocalDateTime.class
+        );
+
+        if (latestData != null) {
+            long delayMinutes = java.time.Duration.between(latestData, LocalDateTime.now()).toMinutes();
+            integrity.setDataDelayMinutes(delayMinutes);
+        }
+
+        return integrity;
+    }
+
+    /**
+     * 시스템 리소스 확인
+     */
+    private SystemResources checkSystemResources() {
+        SystemResources resources = new SystemResources();
+
+        Runtime runtime = Runtime.getRuntime();
+
+        // JVM 메모리
+        resources.setMaxMemory(runtime.maxMemory());
+        resources.setTotalMemory(runtime.totalMemory());
+        resources.setFreeMemory(runtime.freeMemory());
+        resources.setUsedMemory(runtime.totalMemory() - runtime.freeMemory());
+
+        // CPU
+        resources.setAvailableProcessors(runtime.availableProcessors());
+
+        // 스레드
+        resources.setActiveThreads(Thread.activeCount());
+
+        // 디스크 공간 (데이터베이스)
+        Map<String, Object> diskSpace = collectJdbcTemplate.queryForMap("""
+            SELECT 
+                pg_database_size(current_database()) as db_size,
+                pg_size_pretty(pg_database_size(current_database())) as db_size_pretty
+        """);
+
+        resources.setDatabaseSize((Long) diskSpace.get("db_size"));
+        resources.setDatabaseSizePretty((String) diskSpace.get("db_size_pretty"));
+
+        return resources;
+    }
+
+    /**
+     * 권장사항 생성
+     */
+    private List<String> generateRecommendations(DiagnosticReport report) {
+        List<String> recommendations = new ArrayList<>();
+
+        // 메모리 사용률 확인
+        SystemResources resources = report.getSystemResources();
+        double memoryUsage = (double) resources.getUsedMemory() / resources.getMaxMemory();
+        if (memoryUsage > 0.8) {
+            recommendations.add("High memory usage detected (" +
+                    String.format("%.1f%%", memoryUsage * 100) +
+                    "). Consider increasing heap size or optimizing memory usage.");
+        }
+
+        // 캐시 히트율 확인
+        PerformanceMetrics metrics = report.getPerformanceMetrics();
+        if (metrics.getCacheHitRatio() < 0.9) {
+            recommendations.add("Low cache hit ratio (" +
+                    String.format("%.1f%%", metrics.getCacheHitRatio() * 100) +
+                    "). Consider increasing shared_buffers or optimizing queries.");
+        }
+
+        // 데이터 지연 확인
+        DataIntegrity integrity = report.getDataIntegrity();
+        if (integrity.getDataDelayMinutes() > 30) {
+            recommendations.add("Data processing delay detected (" +
+                    integrity.getDataDelayMinutes() + " minutes). Check job execution status.");
+        }
+
+        // 파티션 확인
+        PartitionStatus partitionStatus = report.getPartitionStatus();
+        if (!partitionStatus.isHasFuturePartitions()) {
+            recommendations.add("No future partitions found. Run partition creation job.");
+        }
+
+        // 중복 데이터 확인
+        if (integrity.getDuplicateRecords() > 0) {
+            recommendations.add("Found " + integrity.getDuplicateRecords() +
+                    " duplicate records. Review data ingestion process.");
+        }
+
+        // 느린 쿼리 확인
+        DatabaseHealth dbHealth = report.getDatabaseHealth();
+        if (!dbHealth.getSlowQueries().isEmpty()) {
+            recommendations.add("Found " + dbHealth.getSlowQueries().size() +
+                    " slow queries. Consider query optimization or index creation.");
+        }
+
+        return recommendations;
+    }
+
+    // Helper 메소드들
+    private boolean testConnection(JdbcTemplate jdbcTemplate) {
+        try {
+            jdbcTemplate.queryForObject("SELECT 1", Integer.class);
+            return true;
+        } catch (Exception e) {
+            return false;
+        }
+    }
+
+    private int getActiveConnections() {
+        return collectJdbcTemplate.queryForObject(
+                "SELECT COUNT(*) FROM pg_stat_activity WHERE state = 'active'",
+                Integer.class
+        );
+    }
+
+    private List<Map<String, Object>> getSlowQueries() {
+        return collectJdbcTemplate.queryForList("""
+            SELECT 
+                query,
+                mean_exec_time,
+                calls,
+                total_exec_time
+            FROM pg_stat_statements
+            WHERE mean_exec_time > 1000
+            ORDER BY mean_exec_time DESC
+            LIMIT 10
+        """);
+    }
+
+    private List<Map<String, Object>> getTableSizes() {
+        return collectJdbcTemplate.queryForList("""
+            SELECT 
+                schemaname,
+                tablename,
+                pg_size_pretty(pg_total_relation_size(schemaname||'.'||tablename)) as size
+            FROM pg_tables
+            WHERE schemaname = 'signal'
+            ORDER BY pg_total_relation_size(schemaname||'.'||tablename) DESC
+            LIMIT 10
+        """);
+    }
+
+    private List<Map<String, Object>> getLockInfo() {
+        return collectJdbcTemplate.queryForList("""
+            SELECT 
+                pid,
+                locktype,
+                mode,
+                granted
+            FROM pg_locks
+            WHERE locktype NOT IN ('virtualxid', 'relation')
+            LIMIT 20
+        """);
+    }
+
+    // 리포트 클래스들
+    @lombok.Data
+    public static class DiagnosticReport {
+        private LocalDateTime timestamp;
+        private DatabaseHealth databaseHealth;
+        private PartitionStatus partitionStatus;
+        private PerformanceMetrics performanceMetrics;
+        private DataIntegrity dataIntegrity;
+        private SystemResources systemResources;
+        private List<String> recommendations;
+    }
+
+    @lombok.Data
+    public static class DatabaseHealth {
+        private boolean collectDbConnected;
+        private boolean queryDbConnected;
+        private int activeConnections;
+        private List<Map<String, Object>> slowQueries;
+        private List<Map<String, Object>> tableSizes;
+        private List<Map<String, Object>> lockInfo;
+    }
+
+    @lombok.Data
+    public static class PartitionStatus {
+        private int totalPartitions;
+        private boolean hasFuturePartitions;
+        private Map<String, Object> largestPartition;
+        private List<Map<String, Object>> partitionDetails;
+    }
+
+    @lombok.Data
+    public static class PerformanceMetrics {
+        private long recordsLastHour;
+        private double recordsPerSecond;
+        private double cacheHitRatio;
+        private List<Map<String, Object>> indexEfficiency;
+    }
+
+    @lombok.Data
+    public static class DataIntegrity {
+        private long duplicateRecords;
+        private List<String> missingTimeRanges;
+        private long dataDelayMinutes;
+    }
+
+    @lombok.Data
+    public static class SystemResources {
+        private long maxMemory;
+        private long totalMemory;
+        private long freeMemory;
+        private long usedMemory;
+        private int availableProcessors;
+        private int activeThreads;
+        private long databaseSize;
+        private String databaseSizePretty;
+    }
+}

src/main/java/gc/mda/signal_batch/global/util/BatchUtils.java

@@ -0,0 +1,158 @@
+package gc.mda.signal_batch.global.util;
+
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.batch.core.JobExecution;
+import org.springframework.batch.core.JobParameters;
+import org.springframework.batch.core.JobParametersBuilder;
+import org.springframework.batch.core.StepExecution;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.stereotype.Component;
+
+import java.time.*;
+import java.time.format.DateTimeFormatter;
+import java.util.Collection;
+
+
+@Slf4j
+@Component
+@ConditionalOnProperty(name = "vessel.batch.scheduler.enabled", havingValue = "true", matchIfMissing = true)
+public class BatchUtils {
+
+    @SuppressWarnings("unused")
+    private static final DateTimeFormatter DATE_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd");
+    @SuppressWarnings("unused")
+    private static final DateTimeFormatter DATETIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss");
+
+    /**
+     * 기본 Job 파라미터 생성
+     */
+    public JobParameters createJobParameters(LocalDateTime startTime, LocalDateTime endTime) {
+        return new JobParametersBuilder()
+                .addLocalDateTime("startTime", startTime)
+                .addLocalDateTime("endTime", endTime)
+                .addLong("executionTime", System.currentTimeMillis())
+                .addLong("tileLevel", 1L)  // 기본값 1 (소해구도)
+                .addLong("timeBucketMinutes", 5L)  // 5분 단위로 변경 (배치 주기와 일치)
+                .toJobParameters();
+    }
+
+    /**
+     * 일별 처리용 Job 파라미터 생성
+     */
+    public JobParameters createDailyJobParameters(LocalDate processingDate) {
+        return new JobParametersBuilder()
+                .addLocalDate("processingDate", processingDate)
+                .addLocalDateTime("startTime", processingDate.atStartOfDay())
+                .addLocalDateTime("endTime", processingDate.plusDays(1).atStartOfDay())
+                .addLong("executionTime", System.currentTimeMillis())
+                .toJobParameters();
+    }
+
+    /**
+     * Job 실행 결과 요약
+     */
+    public String getJobExecutionSummary(JobExecution jobExecution) {
+        StringBuilder summary = new StringBuilder();
+        summary.append(String.format("Job: %s, Status: %s\n",
+                jobExecution.getJobInstance().getJobName(),
+                jobExecution.getStatus()
+        ));
+
+        // 방법 1: ZoneOffset 사용
+        LocalDateTime startTime = jobExecution.getStartTime();
+        LocalDateTime endTime = jobExecution.getEndTime();
+
+        if (startTime != null && endTime != null) {
+            // LocalDateTime을 Instant로 변환 시 시스템 기본 시간대 사용
+            Instant startInstant = startTime.atZone(ZoneId.systemDefault()).toInstant();
+            Instant endInstant = endTime.atZone(ZoneId.systemDefault()).toInstant();
+
+            Duration duration = Duration.between(startInstant, endInstant);
+
+            summary.append(String.format("Duration: %d minutes %d seconds\n",
+                    duration.toMinutes(), duration.getSeconds() % 60
+            ));
+        } else if (startTime != null) {
+            // endTime이 null인 경우 (실행 중)
+            Instant startInstant = startTime.atZone(ZoneId.systemDefault()).toInstant();
+            Duration duration = Duration.between(startInstant, Instant.now());
+
+            summary.append(String.format("Running for: %d minutes %d seconds\n",
+                    duration.toMinutes(), duration.getSeconds() % 60
+            ));
+        }
+
+        // 또는 방법 2: LocalDateTime 직접 사용 (더 간단함)
+        /*
+        LocalDateTime startTime = jobExecution.getStartTime();
+        LocalDateTime endTime = jobExecution.getEndTime() != null ?
+            jobExecution.getEndTime() : LocalDateTime.now();
+
+        if (startTime != null) {
+            Duration duration = Duration.between(startTime, endTime);
+            summary.append(String.format("Duration: %d minutes %d seconds\n",
+                duration.toMinutes(), duration.getSeconds() % 60
+            ));
+        }
+        */
+
+        Collection<StepExecution> stepExecutions = jobExecution.getStepExecutions();
+        for (StepExecution stepExecution : stepExecutions) {
+            summary.append(String.format("  Step: %s, Status: %s, Read: %d, Write: %d, Skip: %d\n",
+                    stepExecution.getStepName(),
+                    stepExecution.getStatus(),
+                    stepExecution.getReadCount(),
+                    stepExecution.getWriteCount(),
+                    stepExecution.getSkipCount()
+            ));
+        }
+
+        return summary.toString();
+    }
+
+    /**
+     * 파티션 테이블명 생성
+     */
+    public String generatePartitionName(String baseTableName, LocalDate date) {
+        return baseTableName + "_" + date.format(DateTimeFormatter.ofPattern("yyMMdd"));
+    }
+
+    /**
+     * 처리 속도 계산 (records/sec)
+     */
+    public double calculateThroughput(long recordCount, Duration duration) {
+        if (duration.getSeconds() == 0) {
+            return 0;
+        }
+        return (double) recordCount / duration.getSeconds();
+    }
+
+    /**
+     * 메모리 사용량 로깅
+     */
+    public void logMemoryUsage(String context) {
+        Runtime runtime = Runtime.getRuntime();
+        long maxMemory = runtime.maxMemory() / 1024 / 1024;
+        long totalMemory = runtime.totalMemory() / 1024 / 1024;
+        long freeMemory = runtime.freeMemory() / 1024 / 1024;
+        long usedMemory = totalMemory - freeMemory;
+
+        log.info("{} - Memory usage: Used: {}MB, Free: {}MB, Total: {}MB, Max: {}MB",
+                context, usedMemory, freeMemory, totalMemory, maxMemory);
+    }
+
+    /**
+     * 재시도 가능 여부 판단
+     */
+    public boolean isRetryableException(Exception e) {
+        String message = e.getMessage();
+        if (message == null) {
+            return false;
+        }
+
+        return message.contains("Connection") ||
+                message.contains("Timeout") ||
+                message.contains("Lock") ||
+                message.contains("Deadlock");
+    }
+}

src/main/java/gc/mda/signal_batch/global/util/ConcurrentUpdateManager.java

@@ -0,0 +1,418 @@
+package gc.mda.signal_batch.global.util;
+
+import gc.mda.signal_batch.domain.vessel.model.VesselLatestPosition;
+import gc.mda.signal_batch.domain.gis.model.TileStatistics;
+
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.retry.annotation.Backoff;
+import org.springframework.retry.annotation.Retryable;
+import org.springframework.stereotype.Component;
+import org.springframework.transaction.annotation.Isolation;
+import org.springframework.transaction.annotation.Propagation;
+import org.springframework.transaction.annotation.Transactional;
+
+import java.sql.Timestamp;
+import java.time.Duration;
+import java.time.LocalDateTime;
+import java.util.*;
+import java.util.concurrent.ConcurrentHashMap;
+import java.util.concurrent.atomic.AtomicInteger;
+
+
+@Slf4j
+@Component
+public class ConcurrentUpdateManager {
+
+    private final JdbcTemplate queryJdbcTemplate;
+
+    public ConcurrentUpdateManager(@Qualifier("queryJdbcTemplate") JdbcTemplate queryJdbcTemplate) {
+        this.queryJdbcTemplate = queryJdbcTemplate;
+    }
+
+    @Value("${vessel.batch.lock.timeout:10}")
+    private int lockTimeoutSeconds;
+
+    @Value("${vessel.batch.lock.max-retry:3}")
+    private int maxRetryAttempts;
+
+    // 락 통계 관리
+    private final Map<String, LockStatistics> lockStats = new ConcurrentHashMap<>();
+
+    /**
+     * Advisory Lock을 사용한 최신 위치 업데이트
+     */
+    @Retryable(
+            value = {Exception.class},
+            maxAttempts = 3,
+            backoff = @Backoff(delay = 100, maxDelay = 1000, multiplier = 2)
+    )
+    @Transactional(isolation = Isolation.READ_COMMITTED, propagation = Propagation.REQUIRED)
+    public int updateLatestPositionWithLock(VesselLatestPosition position) {
+        String lockKey = position.getSigSrcCd() + ":" + position.getTargetId();
+        long lockId = generateLockId(lockKey);
+
+        LocalDateTime startTime = LocalDateTime.now();
+        LockStatistics stats = lockStats.computeIfAbsent(lockKey, k -> new LockStatistics());
+        stats.attempts.incrementAndGet();
+
+        try {
+            // Advisory Lock 획득 시도
+            Boolean lockAcquired = queryJdbcTemplate.queryForObject(
+                    "SELECT pg_try_advisory_lock(?)",
+                    Boolean.class,
+                    lockId
+            );
+
+            if (!lockAcquired) {
+                stats.failures.incrementAndGet();
+                log.debug("Failed to acquire lock for vessel: {}", lockKey);
+
+                // 대기 후 재시도
+                Thread.sleep(50);
+                return updateLatestPositionWithoutLock(position);
+            }
+
+            // 락 획득 성공 - 업데이트 수행
+            // 방법 1: queryForList 사용 (권장)
+            String sql = """
+            INSERT INTO signal.t_vessel_latest_position (
+                sig_src_cd, target_id, lat, lon, geom,
+                sog, cog, heading, ship_nm, ship_ty,
+                last_update, update_count, created_at
+            ) VALUES (
+                ?, ?, ?, ?, public.ST_SetSRID(public.ST_MakePoint(?, ?), 4326),
+                ?, ?, ?, ?, ?,
+                ?, 1, CURRENT_TIMESTAMP
+            )
+            ON CONFLICT (sig_src_cd, target_id) DO UPDATE SET
+                lat = EXCLUDED.lat,
+                lon = EXCLUDED.lon,
+                geom = EXCLUDED.geom,
+                sog = EXCLUDED.sog,
+                cog = EXCLUDED.cog,
+                heading = EXCLUDED.heading,
+                ship_nm = COALESCE(EXCLUDED.ship_nm, t_vessel_latest_position.ship_nm),
+                ship_ty = COALESCE(EXCLUDED.ship_ty, t_vessel_latest_position.ship_ty),
+                last_update = EXCLUDED.last_update,
+                update_count = t_vessel_latest_position.update_count + 1
+            WHERE EXCLUDED.last_update > t_vessel_latest_position.last_update
+            RETURNING update_count
+        """;
+
+            List<Integer> results = queryJdbcTemplate.queryForList(sql,
+                    new Object[]{
+                            position.getSigSrcCd(),
+                            position.getTargetId(),
+                            position.getLat(),
+                            position.getLon(),
+                            position.getLon(),
+                            position.getLat(),
+                            position.getSog(),
+                            position.getCog(),
+                            position.getHeading(),
+                            position.getShipNm(),
+                            position.getShipTy(),
+                            Timestamp.valueOf(position.getLastUpdate())
+                    },
+                    Integer.class
+            );
+
+            // 결과 확인 - 빈 리스트면 업데이트 안됨 (이미 최신 데이터)
+            int updateResult = results.isEmpty() ? 0 : 1;
+
+            if (updateResult == 0) {
+                log.debug("Skipped update for vessel {} - existing data is newer", lockKey);
+            }
+
+            stats.successes.incrementAndGet();
+            Duration duration = Duration.between(startTime, LocalDateTime.now());
+            stats.totalDuration.addAndGet((int) duration.toMillis());
+
+            return updateResult;
+
+        } catch (Exception e) {
+            stats.errors.incrementAndGet();
+            log.error("Error updating vessel position: {}", lockKey, e);
+            throw new RuntimeException("Failed to update vessel position", e);
+
+        } finally {
+            // Advisory Lock 해제
+            try {
+                queryJdbcTemplate.update("SELECT pg_advisory_unlock(?)", lockId);
+            } catch (Exception e) {
+                log.warn("Failed to release advisory lock: {}", lockId);
+            }
+        }
+    }
+
+    /**
+     * 락 없이 업데이트 (Fallback) - 수정 버전
+     */
+    private int updateLatestPositionWithoutLock(VesselLatestPosition position) {
+        String sql = """
+        INSERT INTO signal.t_vessel_latest_position (
+            sig_src_cd, target_id, lat, lon, geom,
+            sog, cog, heading, ship_nm, ship_ty,
+            last_update, update_count, created_at
+        ) VALUES (
+            ?, ?, ?, ?, public.ST_SetSRID(public.ST_MakePoint(?, ?), 4326),
+            ?, ?, ?, ?, ?,
+            ?, 1, CURRENT_TIMESTAMP
+        )
+        ON CONFLICT (sig_src_cd, target_id) DO UPDATE SET
+            lat = EXCLUDED.lat,
+            lon = EXCLUDED.lon,
+            geom = EXCLUDED.geom,
+            sog = EXCLUDED.sog,
+            cog = EXCLUDED.cog,
+            heading = EXCLUDED.heading,
+            ship_nm = COALESCE(EXCLUDED.ship_nm, t_vessel_latest_position.ship_nm),
+            ship_ty = COALESCE(EXCLUDED.ship_ty, t_vessel_latest_position.ship_ty),
+            last_update = EXCLUDED.last_update,
+            update_count = t_vessel_latest_position.update_count + 1
+        WHERE EXCLUDED.last_update > t_vessel_latest_position.last_update
+    """;
+
+        return queryJdbcTemplate.update(sql,
+                position.getSigSrcCd(),
+                position.getTargetId(),
+                position.getLat(),
+                position.getLon(),
+                position.getLon(),
+                position.getLat(),
+                position.getSog(),
+                position.getCog(),
+                position.getHeading(),
+                position.getShipNm(),
+                position.getShipTy(),
+                Timestamp.valueOf(position.getLastUpdate())
+        );
+    }
+    /**
+     * 배치 업데이트 with Row-Level Locking
+     */
+    @Transactional(isolation = Isolation.READ_COMMITTED)
+    public void batchUpdateWithRowLock(List<VesselLatestPosition> positions) {
+        // 선박별로 정렬하여 데드락 방지
+        positions.sort(Comparator.comparing(p -> p.getSigSrcCd() + p.getTargetId()));
+
+        String lockSql = """
+            SELECT 1 FROM signal.t_vessel_latest_position
+            WHERE sig_src_cd = ? AND target_id = ?
+            FOR UPDATE NOWAIT
+        """;
+
+        String updateSql = """
+            UPDATE signal.t_vessel_latest_position SET
+                lat = ?, lon = ?, geom = public.ST_SetSRID(public.ST_MakePoint(?, ?), 4326),
+                sog = ?, cog = ?, heading = ?,
+                ship_nm = COALESCE(?, ship_nm),
+                ship_ty = COALESCE(?, ship_ty),
+                last_update = ?,
+                update_count = update_count + 1
+            WHERE sig_src_cd = ? AND target_id = ?
+              AND ? > last_update
+        """;
+
+        String insertSql = """
+            INSERT INTO signal.t_vessel_latest_position (
+                sig_src_cd, target_id, lat, lon, geom,
+                sog, cog, heading, ship_nm, ship_ty,
+                last_update, update_count, created_at
+            ) VALUES (
+                ?, ?, ?, ?, public.ST_SetSRID(public.ST_MakePoint(?, ?), 4326),
+                ?, ?, ?, ?, ?,
+                ?, 1, CURRENT_TIMESTAMP
+            )
+        """;
+
+        for (VesselLatestPosition position : positions) {
+            try {
+                // Row lock 시도
+                List<Integer> locked = queryJdbcTemplate.queryForList(
+                        lockSql, Integer.class,
+                        position.getSigSrcCd(), position.getTargetId()
+                );
+
+                if (!locked.isEmpty()) {
+                    // 업데이트
+                    int updated = queryJdbcTemplate.update(updateSql,
+                            position.getLat(), position.getLon(),
+                            position.getLon(), position.getLat(),
+                            position.getSog(), position.getCog(), position.getHeading(),
+                            position.getShipNm(), position.getShipTy(),
+                            Timestamp.valueOf(position.getLastUpdate()),
+                            position.getSigSrcCd(), position.getTargetId(),
+                            Timestamp.valueOf(position.getLastUpdate())
+                    );
+
+                    if (updated == 0) {
+                        log.debug("Skipped outdated update for vessel: {}:{}",
+                                position.getSigSrcCd(), position.getTargetId());
+                    }
+                } else {
+                    // 신규 삽입
+                    queryJdbcTemplate.update(insertSql,
+                            position.getSigSrcCd(), position.getTargetId(),
+                            position.getLat(), position.getLon(),
+                            position.getLon(), position.getLat(),
+                            position.getSog(), position.getCog(), position.getHeading(),
+                            position.getShipNm(), position.getShipTy(),
+                            Timestamp.valueOf(position.getLastUpdate())
+                    );
+                }
+
+            } catch (Exception e) {
+                log.warn("Failed to update vessel position: {}:{}",
+                        position.getSigSrcCd(), position.getTargetId(), e);
+            }
+        }
+    }
+
+    /**
+     * 타일 통계 병합 업데이트
+     */
+    @Transactional(isolation = Isolation.READ_COMMITTED)
+    public void mergeTileStatistics(List<TileStatistics> statistics) {
+        String sql = """
+            INSERT INTO signal.t_tile_summary (
+                tile_id, tile_level, time_bucket, vessel_count,
+                unique_vessels, total_points, avg_sog, max_sog,
+                vessel_density, created_at
+            ) VALUES (
+                ?, ?, ?, ?, ?::jsonb, ?, ?, ?, ?, ?
+            )
+            ON CONFLICT (tile_id, time_bucket) DO UPDATE SET
+                vessel_count = t_tile_summary.vessel_count + EXCLUDED.vessel_count,
+                unique_vessels = t_tile_summary.unique_vessels || EXCLUDED.unique_vessels,
+                total_points = t_tile_summary.total_points + EXCLUDED.total_points,
+                avg_sog = (t_tile_summary.avg_sog * t_tile_summary.total_points + 
+                          EXCLUDED.avg_sog * EXCLUDED.total_points) / 
+                         (t_tile_summary.total_points + EXCLUDED.total_points),
+                max_sog = GREATEST(t_tile_summary.max_sog, EXCLUDED.max_sog),
+                vessel_density = (t_tile_summary.vessel_count + EXCLUDED.vessel_count) / 
+                               (SELECT area FROM signal.t_grid_tiles WHERE tile_id = t_tile_summary.tile_id)
+        """;
+
+        queryJdbcTemplate.batchUpdate(sql, statistics, 100, (ps, stat) -> {
+            ps.setString(1, stat.getTileId());
+            ps.setInt(2, stat.getTileLevel());
+            ps.setTimestamp(3, java.sql.Timestamp.valueOf(stat.getTimeBucket()));
+            ps.setInt(4, stat.getVesselCount());
+            ps.setString(5, convertToJson(stat.getUniqueVessels()));
+            ps.setLong(6, stat.getTotalPoints());
+            ps.setBigDecimal(7, stat.getAvgSog());
+            ps.setBigDecimal(8, stat.getMaxSog());
+            ps.setBigDecimal(9, stat.getVesselDensity());
+            ps.setTimestamp(10, java.sql.Timestamp.valueOf(LocalDateTime.now()));
+        });
+    }
+
+    /**
+     * 락 ID 생성
+     */
+    private long generateLockId(String key) {
+        // PostgreSQL advisory lock은 bigint 사용
+        return Math.abs(key.hashCode());
+    }
+
+    /**
+     * JSON 변환
+     */
+    private String convertToJson(Object obj) {
+        try {
+            return new com.fasterxml.jackson.databind.ObjectMapper()
+                    .writeValueAsString(obj);
+        } catch (Exception e) {
+            return "{}";
+        }
+    }
+
+    /**
+     * 락 통계 조회
+     */
+    public Map<String, Map<String, Object>> getLockStatistics() {
+        Map<String, Map<String, Object>> result = new HashMap<>();
+
+        lockStats.forEach((key, stats) -> {
+            Map<String, Object> statMap = new HashMap<>();
+            statMap.put("attempts", stats.attempts.get());
+            statMap.put("successes", stats.successes.get());
+            statMap.put("failures", stats.failures.get());
+            statMap.put("errors", stats.errors.get());
+
+            if (stats.attempts.get() > 0) {
+                statMap.put("successRate",
+                        (double) stats.successes.get() / stats.attempts.get());
+                statMap.put("avgDurationMs",
+                        stats.totalDuration.get() / stats.successes.get());
+            }
+
+            result.put(key, statMap);
+        });
+
+        return result;
+    }
+
+    /**
+     * 현재 락 상태 모니터링
+     */
+    public List<Map<String, Object>> getCurrentLocks() {
+        String sql = """
+            SELECT 
+                pid,
+                locktype,
+                database,
+                relation::regclass,
+                mode,
+                granted,
+                EXTRACT(EPOCH FROM (NOW() - query_start)) as duration_seconds
+            FROM pg_locks l
+            JOIN pg_stat_activity a ON l.pid = a.pid
+            WHERE l.locktype IN ('advisory', 'relation', 'tuple')
+              AND a.application_name LIKE '%vessel-batch%'
+            ORDER BY duration_seconds DESC
+        """;
+
+        return queryJdbcTemplate.queryForList(sql);
+    }
+
+    /**
+     * 데드락 모니터링
+     */
+    public List<Map<String, Object>> getDeadlockInfo() {
+        String sql = """
+            SELECT 
+                pid,
+                usename,
+                application_name,
+                client_addr,
+                query_start,
+                state,
+                wait_event_type,
+                wait_event,
+                query
+            FROM pg_stat_activity
+            WHERE wait_event_type = 'Lock'
+              AND state != 'idle'
+            ORDER BY query_start
+        """;
+
+        return queryJdbcTemplate.queryForList(sql);
+    }
+
+    /**
+     * 락 통계 클래스
+     */
+    private static class LockStatistics {
+        final AtomicInteger attempts = new AtomicInteger();
+        final AtomicInteger successes = new AtomicInteger();
+        final AtomicInteger failures = new AtomicInteger();
+        final AtomicInteger errors = new AtomicInteger();
+        final AtomicInteger totalDuration = new AtomicInteger();
+    }
+}