diff --git a/App/WheelMeasure/WheelMeasureApp/Presenter/Inc/WheelMeasurePresenter.h b/App/WheelMeasure/WheelMeasureApp/Presenter/Inc/WheelMeasurePresenter.h
index 24dca867..c94a7d94 100644
--- a/App/WheelMeasure/WheelMeasureApp/Presenter/Inc/WheelMeasurePresenter.h
+++ b/App/WheelMeasure/WheelMeasureApp/Presenter/Inc/WheelMeasurePresenter.h
@@ -180,6 +180,9 @@ private:
     // TCP检测触发回调
     bool onTCPDetectionTriggered(int param);
 
+    // 启动下一个待扫描相机（TCP顺序循环）
+    void startNextTCPCamera();
+
     // 发送TCP测量结果
     void sendTCPMeasureResults();
 
@@ -187,12 +190,13 @@ private:
     IVrWheelMeasureConfig*              m_config = nullptr;
     WheelMeasureConfigResult            m_configResult;
     IWheelMeasureStatus*                m_statusUpdate = nullptr;
-    int                                 m_currentCameraIndex = 1;  // 默认相机索引（1-based）
 
     // TCP协议
     WheelMeasureTCPProtocol             m_tcpProtocol;              // TCP服务器协议
     bool                                m_tcpDetectionMode = false; // 是否为TCP触发的检测
     QMap<int, WheelMeasureTCPProtocol::CameraMeasureResult> m_tcpResults; // TCP检测结果缓存
+    std::vector<int>                    m_tcpScanList;              // TCP模式下待扫描的相机列表(1-based)
+    size_t                              m_tcpScanIndex = 0;         // TCP模式下当前扫描索引
 };
 
 #endif // WHEELMEASUREPRESENTER_H
diff --git a/App/WheelMeasure/WheelMeasureApp/Presenter/Src/WheelMeasurePresenter.cpp b/App/WheelMeasure/WheelMeasureApp/Presenter/Src/WheelMeasurePresenter.cpp
index be674297..34d2f709 100644
--- a/App/WheelMeasure/WheelMeasureApp/Presenter/Src/WheelMeasurePresenter.cpp
+++ b/App/WheelMeasure/WheelMeasureApp/Presenter/Src/WheelMeasurePresenter.cpp
@@ -54,6 +54,9 @@ int WheelMeasurePresenter::InitApp()
 
     SetWorkStatus(WorkStatus::InitIng);
 
+    // 默认相机索引初始化为1（1-based）
+    m_currentCameraIndex = 1;
+
     // 加载配置
     QString configPath = PathManager::GetInstance().GetConfigFilePath();
     if (!initializeConfig(configPath)) {
@@ -171,9 +174,22 @@ void WheelMeasurePresenter::OnWorkStatusChanged(WorkStatus status)
         }
     }, Qt::QueuedConnection);
 
-    // TCP模式下检测完成，发送所有结果
+    // TCP模式下检测完成：顺序模式推进下一个相机，批处理模式直接发送结果
     if (status == WorkStatus::Completed && m_tcpDetectionMode) {
-        LOG_INFO("TCP模式：所有相机检测完成，准备发送结果\n");
+        if (!m_tcpScanList.empty()) {
+            // 顺序模式：推进到下一个相机
+            m_tcpScanIndex++;
+            if (m_tcpScanIndex < m_tcpScanList.size()) {
+                LOG_INFO("TCP模式：当前相机扫描完成，启动下一个相机 (%zu/%zu)\n",
+                         m_tcpScanIndex + 1, m_tcpScanList.size());
+                QMetaObject::invokeMethod(this, [this]() {
+                    startNextTCPCamera();
+                }, Qt::QueuedConnection);
+                return;
+            }
+        }
+        // 顺序模式末尾 或 批处理模式所有批次完成
+        LOG_INFO("TCP模式：所有相机扫描完成，准备发送结果\n");
         QMetaObject::invokeMethod(this, [this]() {
             sendTCPMeasureResults();
         }, Qt::QueuedConnection);
@@ -923,15 +939,75 @@ bool WheelMeasurePresenter::onTCPDetectionTriggered(int param)
     // 清空之前的TCP结果缓存
     m_tcpResults.clear();
     m_tcpDetectionMode = true;
+    m_tcpScanList.clear();
+    m_tcpScanIndex = 0;
 
-    // 启动所有相机的顺序检测
+    // 统计启用的相机数量
+    int enabledCount = 0;
+    for (const auto& cameraConfig : m_configResult.cameras) {
+        if (cameraConfig.enabled) ++enabledCount;
+    }
+    if (enabledCount == 0) {
+        LOG_WARNING("TCP检测触发：无启用的相机，无法启动检测\n");
+        m_tcpDetectionMode = false;
+        return false;
+    }
+
+    // 清空之前的测量结果显示
     QMetaObject::invokeMethod(this, [this]() {
-        StartAllDetection();
+        if (m_statusUpdate) {
+            m_statusUpdate->OnClearMeasureData();
+            m_statusUpdate->OnStatusUpdate(QString("TCP触发：开始检测所有设备"));
+        }
     }, Qt::QueuedConnection);
 
+    int simCount = m_configResult.scanConfig.simultaneousCount;
+
+    if (simCount == 1) {
+        // 顺序模式：应用层逐个调度相机（每次 StartDetection(具体索引) 走 branch 1）
+        for (int idx = 1; idx <= enabledCount; ++idx) {
+            m_tcpScanList.push_back(idx);
+        }
+        LOG_INFO("TCP检测顺序启动 %d 个相机 (simultaneousCount=1)\n", enabledCount);
+        QMetaObject::invokeMethod(this, [this]() {
+            startNextTCPCamera();
+        }, Qt::QueuedConnection);
+    } else {
+        // 批处理模式：StartDetection(-1) 委托 BasePresenter 自动分批扫描所有相机
+        // - simultaneousCount=0: 所有相机同时扫描
+        // - simultaneousCount>1: 每批 N 个相机同时扫描
+        LOG_INFO("TCP检测批处理启动 (simultaneousCount=%d, 启用相机=%d)\n", simCount, enabledCount);
+        QMetaObject::invokeMethod(this, [this]() {
+            StartDetection(-1);
+        }, Qt::QueuedConnection);
+    }
+
     return true;
 }
 
+void WheelMeasurePresenter::startNextTCPCamera()
+{
+    if (m_tcpScanIndex >= m_tcpScanList.size()) {
+        LOG_WARNING("startNextTCPCamera: 索引越界，直接发送结果\n");
+        sendTCPMeasureResults();
+        return;
+    }
+
+    int cameraIdx = m_tcpScanList[m_tcpScanIndex];
+    LOG_INFO("TCP扫描: 启动相机 %d (%zu/%zu)\n",
+             cameraIdx, m_tcpScanIndex + 1, m_tcpScanList.size());
+
+    if (m_statusUpdate) {
+        m_statusUpdate->OnStatusUpdate(QString("TCP扫描相机 %1 (%2/%3)")
+            .arg(cameraIdx)
+            .arg(m_tcpScanIndex + 1)
+            .arg(m_tcpScanList.size()));
+    }
+
+    // 调用 BasePresenter::StartDetection 指定相机扫描（branch 1: 单相机模式）
+    StartDetection(cameraIdx);
+}
+
 void WheelMeasurePresenter::sendTCPMeasureResults()
 {
     // 计算期望的相机数量
@@ -970,4 +1046,6 @@ void WheelMeasurePresenter::sendTCPMeasureResults()
     // 清空缓存和标志
     m_tcpResults.clear();
     m_tcpDetectionMode = false;
+    m_tcpScanList.clear();
+    m_tcpScanIndex = 0;
 }
diff --git a/App/WheelMeasure/WheelMeasureApp/Version.h b/App/WheelMeasure/WheelMeasureApp/Version.h
index ae74c0cd..0c8459bc 100644
--- a/App/WheelMeasure/WheelMeasureApp/Version.h
+++ b/App/WheelMeasure/WheelMeasureApp/Version.h
@@ -3,7 +3,7 @@
 
 
 #define WHEELMEASURE_APP_NAME "轮眉高度测量"
-#define WHEELMEASURE_VERSION_STRING "1.1.6"
+#define WHEELMEASURE_VERSION_STRING "1.2.0"
 #define WHEELMEASURE_BUILD_STRING "1"
 #define WHEELMEASURE_FULL_VERSION_STRING "V" WHEELMEASURE_VERSION_STRING "_" WHEELMEASURE_BUILD_STRING
 
diff --git a/App/WheelMeasure/WheelMeasureApp/Version.md b/App/WheelMeasure/WheelMeasureApp/Version.md
index 0f24187e..f7956f68 100644
--- a/App/WheelMeasure/WheelMeasureApp/Version.md
+++ b/App/WheelMeasure/WheelMeasureApp/Version.md
@@ -1,3 +1,7 @@
+# 1.2.0
+## build_1 2026-05-17
+1. 多相机并行扫描
+
 # 1.1.6
 ## build_1 2026-04-25
 1. 优化存储数据
diff --git a/AppUtils/AppCommon/Inc/BasePresenter.h b/AppUtils/AppCommon/Inc/BasePresenter.h
index 288c1b63..c3b611a8 100644
--- a/AppUtils/AppCommon/Inc/BasePresenter.h
+++ b/AppUtils/AppCommon/Inc/BasePresenter.h
@@ -661,7 +661,7 @@ protected:
     int                             m_batchStartIndex = 0;  // 当前批次起始位置
     int                             m_batchSize = 0;        // 当前批次相机数
     int                             m_batchFinishedCount = 0; // 当前批次已完成计数
-    bool                            m_batchInProgress = false; // 是否正在分批扫描
+    std::atomic<bool>               m_batchInProgress{false}; // 是否正在分批扫描（决定数据/状态回调的分流路径）
     std::mutex                      m_batchStateMutex;      // 保护分批调度状态
 
 private:
diff --git a/AppUtils/AppCommon/Src/BasePresenter.cpp b/AppUtils/AppCommon/Src/BasePresenter.cpp
index ad21be3b..0a1ad920 100644
--- a/AppUtils/AppCommon/Src/BasePresenter.cpp
+++ b/AppUtils/AppCommon/Src/BasePresenter.cpp
@@ -196,7 +196,7 @@ int BasePresenter::StartDetection(int cameraIndex, bool isAuto)
     LOG_INFO("[BasePresenter] 进入多相机分批扫描模式\n");
 
     // 停止当前正在进行的检测
-    if (m_batchInProgress || m_bAlgoDetectThreadRunning) {
+    if (m_batchInProgress.load() || m_bAlgoDetectThreadRunning) {
         StopDetection();
     }
 
@@ -566,7 +566,7 @@ void BasePresenter::AlgoDetectThreadFunc()
             break;
         }
 
-        if (m_scanConfig.simultaneousCount > 1 || m_scanConfig.simultaneousCount == 0) {
+        if (m_batchInProgress.load()) {
             // 多相机分批模式：检查批次是否完成并处理
             ProcessBatchIfReady();
         } else {
@@ -657,7 +657,7 @@ int BasePresenter::DetectTask()
     // 批量模式下不在这里设置Completed，由ProcessBatchIfReady统一设置
     {
         std::lock_guard<std::mutex> lock(m_batchStateMutex);
-        if (!m_batchInProgress) {
+        if (!m_batchInProgress.load()) {
             SetWorkStatus(WorkStatus::Completed);
         }
     }
@@ -800,8 +800,8 @@ void BasePresenter::_StaticDetectionCallback(EVzResultDataType eDataType, SVzLas
     lineData.bEndOnceScan = pLaserLinePoint->bEndOnceScan;
 
     // 根据扫描模式分流存储
-    if (pThis->m_scanConfig.simultaneousCount > 1 || pThis->m_scanConfig.simultaneousCount == 0) {
-        // 多相机同时扫描模式：存入该相机的独立缓存
+    if (pThis->m_batchInProgress.load()) {
+        // 多相机分批扫描模式：存入该相机的独立缓存
         pThis->AddDetectionDataToCameraCache(cameraIndex, eDataType, lineData);
     } else {
         // 单相机模式：存入共享缓存
@@ -846,8 +846,8 @@ void BasePresenter::_StaticCameraStatusCallback(EVzDeviceWorkStatus eStatus, voi
         {
             LOG_INFO("[BasePresenter Camera Status Callback] Camera %d scan finished\n", cameraIndex);
 
-            // 多相机模式下记录批次完成
-            if (pThis->m_scanConfig.simultaneousCount > 1 || pThis->m_scanConfig.simultaneousCount == 0) {
+            // 分批模式下记录批次完成
+            if (pThis->m_batchInProgress.load()) {
                 pThis->OnCameraScanFinished(cameraIndex);
             }
 
@@ -1131,7 +1131,7 @@ void BasePresenter::ProcessBatchIfReady()
     bool batchComplete = false;
     {
         std::lock_guard<std::mutex> lock(m_batchStateMutex);
-        if (!m_batchInProgress) return;
+        if (!m_batchInProgress.load()) return;
         batchComplete = (m_batchFinishedCount >= m_batchSize);
     }