diff --git a/MagicEyes/CMakeLists.txt b/MagicEyes/CMakeLists.txt
index 549a17dfa..948af1244 100644
--- a/MagicEyes/CMakeLists.txt
+++ b/MagicEyes/CMakeLists.txt
@@ -158,3 +158,4 @@ endif ()
 add_subdirectory(src/backend)
 add_subdirectory(src/bridge)
 add_subdirectory(src/magic_eyes_cli)
+add_subdirectory(src/visualization)
diff --git a/MagicEyes/src/visualization/CMakeLists.txt b/MagicEyes/src/visualization/CMakeLists.txt
new file mode 100644
index 000000000..5083fdb93
--- /dev/null
+++ b/MagicEyes/src/visualization/CMakeLists.txt
@@ -0,0 +1,74 @@
+# 设置最低 CMake 版本要求
+cmake_minimum_required(VERSION 3.10)
+
+# 定义项目名称
+project(DataVisual LANGUAGES NONE)
+#目标目录,install/visualization
+set(VISUALIZATION_INSTALL_DIR visualization)
+# 定义变量 A
+set(EBPF_PROMETHEUS ${CMAKE_CURRENT_SOURCE_DIR}/eBPF_prometheus)
+
+
+# 直接执行命令：go mod tidy
+execute_process(
+    COMMAND go mod tidy
+    WORKING_DIRECTORY ${EBPF_PROMETHEUS}
+    RESULT_VARIABLE GO_MOD_TIDY_RESULT
+    OUTPUT_VARIABLE GO_MOD_TIDY_OUTPUT
+    ERROR_VARIABLE GO_MOD_TIDY_ERROR
+)
+if(NOT GO_MOD_TIDY_RESULT EQUAL 0)
+    message(FATAL_ERROR "Failed to run 'go mod tidy': ${GO_MOD_TIDY_ERROR}")
+endif()
+
+# 直接执行命令：go build
+execute_process(
+    COMMAND go build -o ${EBPF_PROMETHEUS}/data-visual main.go
+    WORKING_DIRECTORY ${EBPF_PROMETHEUS}
+    RESULT_VARIABLE GO_BUILD_RESULT
+    OUTPUT_VARIABLE GO_BUILD_OUTPUT
+    ERROR_VARIABLE GO_BUILD_ERROR
+)
+if(NOT GO_BUILD_RESULT EQUAL 0)
+    message(FATAL_ERROR "Failed to build 'data-visual': ${GO_BUILD_ERROR}")
+endif()
+#将生成的data-visual可执行文件 安装到install/visualization目录下
+install(PROGRAMS ${EBPF_PROMETHEUS}/data-visual
+        PERMISSIONS OWNER_READ OWNER_WRITE OWNER_EXECUTE GROUP_READ WORLD_READ WORLD_EXECUTE
+        DESTINATION ${VISUALIZATION_INSTALL_DIR}
+)
+#将checker,collector,dao,prom_core安装到安装到install/visualization目录下
+install(DIRECTORY ${EBPF_PROMETHEUS}/checker
+                ${EBPF_PROMETHEUS}/dao
+                ${EBPF_PROMETHEUS}/prom_core
+        DESTINATION ${VISUALIZATION_INSTALL_DIR}
+)
+# 创建目录并生成文件
+file(MAKE_DIRECTORY ${VISUALIZATION_INSTALL_DIR}/.output/data)
+file(WRITE ${VISUALIZATION_INSTALL_DIR}/.output/data/offcpu_stack.txt "")
+
+
+# 安装脚本文件 runimages.sh 到指定目录，并设置安装后的权限
+install(PROGRAMS ${EBPF_PROMETHEUS}/runimages.sh
+        PERMISSIONS OWNER_READ OWNER_WRITE OWNER_EXECUTE GROUP_READ WORLD_READ WORLD_EXECUTE
+        DESTINATION ${VISUALIZATION_INSTALL_DIR}
+)
+# 执行脚本：runimages.sh
+execute_process(
+    COMMAND ./runimages.sh
+    WORKING_DIRECTORY ${VISUALIZATION_INSTALL_DIR}
+    RESULT_VARIABLE RUNIMAGES_RESULT
+    OUTPUT_VARIABLE RUNIMAGES_OUTPUT
+    ERROR_VARIABLE RUNIMAGES_ERROR
+)
+# 将vis.sh安装到目标目录
+install(PROGRAMS ${EBPF_PROMETHEUS}/vis.sh
+        PERMISSIONS OWNER_READ OWNER_WRITE OWNER_EXECUTE GROUP_READ WORLD_READ WORLD_EXECUTE
+        DESTINATION ${VISUALIZATION_INSTALL_DIR}
+)
+
+# 清理目标：可选
+add_custom_target(clean_data
+    COMMAND ${CMAKE_COMMAND} -E rm -rf ${EBPF_PROMETHEUS}/dao/data.db ${EBPF_PROMETHEUS}/r/.output/data
+    COMMENT "Cleaning up generated data and files"
+)
diff --git a/MagicEyes/src/visualization/eBPF_prometheus b/MagicEyes/src/visualization/eBPF_prometheus
new file mode 120000
index 000000000..d2ba976bf
--- /dev/null
+++ b/MagicEyes/src/visualization/eBPF_prometheus
@@ -0,0 +1 @@
+../../../eBPF_Visualization/eBPF_prometheus/
\ No newline at end of file
diff --git a/MagicEyes/src/visualization/run_images.sh b/MagicEyes/src/visualization/run_images.sh
deleted file mode 100644
index 6a4b6ce99..000000000
--- a/MagicEyes/src/visualization/run_images.sh
+++ /dev/null
@@ -1,40 +0,0 @@
-#!/bin/bash
-# ------------------------------------------------------------
-# 拷贝自：https://github.com/linuxkerneltravel/lmp/blob/develop/eBPF_Visualization/eBPF_prometheus/runimages.sh
-# ------------------------------------------------------------
-# 定义镜像名
-prometheus_image="prom/prometheus"
-grafana_image="grafana/grafana-enterprise"
-
-# 使用 docker ps 命令列出所有容器的 ID，过滤出指定镜像的容器
-prometheus_info=$(sudo docker ps -a -q --filter "ancestor=$prometheus_image")
-grafana_info=$(sudo docker ps -a -q --filter "ancestor=$grafana_image")
-
-# 检查 Prometheus 容器是否存在
-if [ -n "$prometheus_info" ]; then
-    # 如果容器存在，获取容器的 ID
-    # 即获取存储在 $prometheus_info 变量中的容器 ID 列表的第一个容器 ID，并将其存储到 container_id 变量中
-    container_id=$(echo "$prometheus_info" | head -n 1)
-    echo "prometheus 容器存在,id为$container_id。启动容器..."
-    sudo docker start $container_id
-else
-    echo "容器不存在,开始创建容器,并启动服务"
-    # 启动一个新的 Prometheus 容器，映射主机的端口 9090 到容器的端口 9090，
-    # 同时将主机上的 Prometheus 配置文件挂载到容器内，以便配置 Prometheus 服务
-    sudo docker run \
-        -p 9090:9090 \
-        -v ./prom_core/prometheus.yaml:/etc/prometheus/prometheus.yml \
-        --name=prometheus prom/prometheus &
-fi
-
-if [ -n "$grafana_info" ]; then
-    # 如果容器存在，获取容器的 ID
-    # 即获取存储在 $grafana_info 变量中的容器 ID 列表的第一个容器 ID，并将其存储到 container_id 变量中
-    container_id=$(echo "$grafana_info" | head -n 1)
-    echo "grafana 容器存在,id为$container_id。启动容器..."
-    sudo docker start $container_id
-else
-    echo "grafana容器不存在,开始创建容器,并启动服务"
-    # 启动一个新的 Grafana Enterprise 容器，映射主机的端口 3000 到容器的端口 3000，并指定容器名称为 "grafana"
-    sudo docker run -d -p 3000:3000 --name=grafana grafana/grafana-enterprise &
-fi
diff --git a/eBPF_Supermarket/CPU_Subsystem/cpu_watcher/cpu_watcher.c b/eBPF_Supermarket/CPU_Subsystem/cpu_watcher/cpu_watcher.c
index e50e23ab2..f59178c50 100644
--- a/eBPF_Supermarket/CPU_Subsystem/cpu_watcher/cpu_watcher.c
+++ b/eBPF_Supermarket/CPU_Subsystem/cpu_watcher/cpu_watcher.c
@@ -438,7 +438,7 @@ static int print_all()
     return 0;
 }
 
-int count[25]={0};//定义一个count数组，用于汇总schedul()调度时间，以log2(时间间隔)为统计依据；
+int count[25]={0} , cs_flag=0;//定义一个count数组，用于汇总schedul()调度时间，以log2(时间间隔)为统计依据；
 static int handle_event(void *ctx, void *data,unsigned long data_sz)
 {
 	const struct event *e = data;
@@ -449,6 +449,8 @@ static int handle_event(void *ctx, void *data,unsigned long data_sz)
 		i ++;
 	}
 	count[i]++;
+	if(!cs_flag) 
+		cs_flag = 1;
 	return 0;
 }
 static int print_hstgram(int i,int max,int per_len)
@@ -1101,7 +1103,11 @@ int main(int argc, char **argv)
         	    printf("Error polling perf buffer: %d\n", err);
 				break;
 			}
-			histogram();
+    		struct cs_ctrl *cs_ctrl;
+			int ctrl_key = 0 ;
+			if(cs_flag){
+				histogram();
+			}
 		}
 		else if(env.SYSCALL_DELAY){
 			err = ring_buffer__poll(rb, 100 /* timeout, ms */);		//ring_buffer__poll(),轮询打开ringbuf缓冲区。如果有事件，handle_event函数会执行	
diff --git a/eBPF_Visualization/eBPF_prometheus/vis.sh b/eBPF_Visualization/eBPF_prometheus/vis.sh
new file mode 100755
index 000000000..ea6861b19
--- /dev/null
+++ b/eBPF_Visualization/eBPF_prometheus/vis.sh
@@ -0,0 +1,26 @@
+#!/bin/bash
+
+# 检查参数数量是否足够
+if [ $# -lt 4 ]; then
+  echo "Usage: $0 <param1> <param2> <param3> <param4> [other_args...]"
+  exit 1
+fi
+
+# 获取传递的参数
+PARAM1=$1
+PARAM2=$2
+PARAM3=$3
+PARAM4=$4
+OTHER_ARGS=${@:5} # 从第5个参数开始的所有额外参数
+
+# 构建路径
+TARGET_DIR="../backend/${PARAM1}/${PARAM2}/bin"
+
+# 构建命令
+COMMAND="sudo ./data-visual collect ${TARGET_DIR}/${PARAM3} ${PARAM4} ${OTHER_ARGS}"
+
+# 显示即将执行的命令（可选）
+echo "Executing command: ${COMMAND}"
+
+# 执行命令
+eval "${COMMAND}"