diff --git a/.env.development b/.env.development
index 01b88b2..96d9000 100644
--- a/.env.development
+++ b/.env.development
@@ -5,4 +5,4 @@ VITE_APP_TITLE = 数字营销实训系统
 VITE_APP_ENV = 'development'
 
 # 若依管理系统/开发环境
-VITE_APP_BASE_API = 'http://192.168.2.28:9868'
+VITE_APP_BASE_API = 'http://118.31.7.2:9868'
diff --git a/src/store/modules/user.js b/src/store/modules/user.js
index 996a0db..fe3b72b 100644
--- a/src/store/modules/user.js
+++ b/src/store/modules/user.js
@@ -2,7 +2,7 @@
  * @Author: qinzhenpen qzp1807@126.com
  * @Date: 2024-08-15 09:41:09
  * @LastEditors: qinzhenpen qzp1807@126.com
- * @LastEditTime: 2024-08-16 10:33:08
+ * @LastEditTime: 2024-08-17 11:30:38
  * @FilePath: \vue3\src\store\modules\user.js
  * @Description: 这是默认设置,请设置`customMade`, 打开koroFileHeader查看配置 进行设置: https://github.com/OBKoro1/koro1FileHeader/wiki/%E9%85%8D%E7%BD%AE
  */
@@ -19,7 +19,7 @@ const useUserStore = defineStore(
       avatar: '',
       roles: [],
       permissions: [],
-      userInfo: getUserInfo() ? JSON.parse(getUserInfo()) : {},
+      userInfo: getUserInfo(),
     }),
     actions: {
       // 登录
diff --git a/src/utils/request.js b/src/utils/request.js
index ab9f248..076014b 100644
--- a/src/utils/request.js
+++ b/src/utils/request.js
@@ -16,7 +16,7 @@ axios.defaults.headers['Content-Type'] = 'application/json;charset=utf-8'
 const service = axios.create({
   // axios中请求配置有baseURL选项，表示请求URL公共部分
   // baseURL: import.meta.env.VITE_APP_BASE_API,
-  baseURL:'http://192.168.2.28:9868/',
+  baseURL:'http://118.31.7.2:9868/',
   // 超时
   timeout: 10000
 })
@@ -43,21 +43,6 @@ service.interceptors.request.use(config => {
       time: new Date().getTime()
     }
     const sessionObj = cache.session.getJSON('sessionObj')
-    if (sessionObj === undefined || sessionObj === null || sessionObj === '') {
-      cache.session.setJSON('sessionObj', requestObj)
-    } else {
-      const s_url = sessionObj.url;                // 请求地址
-      const s_data = sessionObj.data;              // 请求数据
-      const s_time = sessionObj.time;              // 请求时间
-      const interval = 1000;                       // 间隔时间(ms)，小于此时间视为重复提交
-      if (s_data === requestObj.data && requestObj.time - s_time < interval && s_url === requestObj.url) {
-        const message = '数据正在处理，请勿重复提交';
-        console.warn(`[${s_url}]: ` + message)
-        return Promise.reject(new Error(message))
-      } else {
-        cache.session.setJSON('sessionObj', requestObj)
-      }
-    }
   }
   return config
 }, error => {
diff --git a/src/views/digitalMarketTech/AIGCLargeModel/components/AIVenisonDiagram.vue b/src/views/digitalMarketTech/AIGCLargeModel/components/AIVenisonDiagram.vue
index 6f03056..099c957 100644
--- a/src/views/digitalMarketTech/AIGCLargeModel/components/AIVenisonDiagram.vue
+++ b/src/views/digitalMarketTech/AIGCLargeModel/components/AIVenisonDiagram.vue
@@ -46,12 +46,13 @@
 </template>
 <script setup>
 import { MdPreview, MdCatalog } from "md-editor-v3";
+import { getToken,getUserInfo } from '@/utils/auth'
+import useUserStore from "@/store/modules/user";
 import "md-editor-v3/lib/preview.css";
 import * as AI from "@/api/AI.js";
-import { marked } from "marked";
-import "highlight.js/lib/common";
-import hljs from "highlight.js";
 import { getAssetsFile } from "@/utils/index.js";
+import { computed, onMounted } from "vue";
+const userStore = useUserStore();
 const input = ref("");
 const butFlag = ref(false);
 const messages = reactive([]);
@@ -98,6 +99,9 @@ const sendExample = (item) => {
   input.value = item.text;
   sendText();
 };
+const aiUserid=computed(()=>{
+  return  getUserInfo() ? JSON.parse(getUserInfo()) : "";
+})
 const sendText = async () => {
   if (input.value.trim() === "" || isRequestPending.value) return;
   if (input.value.trim() === "") return;
@@ -118,17 +122,17 @@ const sendText = async () => {
       },
       name: "",
       role: "user",
-      userId: "512",
+      userId: aiUserid.value.userId,
     },
   ];
   const messageId = Date.now();
-  0;
   const newMessage = reactive({ id: messageId, type: "ai-main", displayContent: "" });
   messages.push(newMessage);
-  const resp = await fetch("http://192.168.2.28:9868/api/bigModule/createArticleByAi", {
+  const resp = await fetch("http://118.31.7.2:9868/api/bigModule/createArticleByAi", {
     method: "POST",
     headers: {
       "Content-Type": "application/json",
+      Authorization: `Bearer ${getToken()}`,
     },
     body: JSON.stringify(sendData),
   });
@@ -174,7 +178,7 @@ const handleKeyDown = (event) => {
     event.preventDefault();
     sendText();
   }
-};
+}
 </script>
 
 <style lang="scss" scoped>
diff --git a/src/views/digitalMarketTech/artificialIntelligence/components/article-identification.vue b/src/views/digitalMarketTech/artificialIntelligence/components/article-identification.vue
index 47d1b09..7796900 100644
--- a/src/views/digitalMarketTech/artificialIntelligence/components/article-identification.vue
+++ b/src/views/digitalMarketTech/artificialIntelligence/components/article-identification.vue
@@ -213,7 +213,7 @@ const downloadArticle=()=>{
     return proxy.$modal.msgWarning("请先完成上一步")
   }
   answerRecord.value=2
-  window.open(`http://192.168.2.16:9868/api/stu/experimental/downloadImg?userId=${JSON.parse(getUserInfo()).userId}&TOKEN=${getToken()}`)
+  window.open(`http://118.31.7.2:9868/api/stu/experimental/downloadImg?userId=${JSON.parse(getUserInfo()).userId}&TOKEN=${getToken()}`)
 }
 
 // 识别文字
diff --git a/src/views/digitalMarketTech/bigData/components/whatBigData.vue b/src/views/digitalMarketTech/bigData/components/whatBigData.vue
index fba03e1..a1211a6 100644
--- a/src/views/digitalMarketTech/bigData/components/whatBigData.vue
+++ b/src/views/digitalMarketTech/bigData/components/whatBigData.vue
@@ -61,11 +61,11 @@
          若以现有的蓝光光盘为计量标准，那么 40ZB 的数据全部存入蓝光光盘，所需要的光盘总重量将达到 424 艘尼米兹号航母的总重量。而这些数据中，约 80% 是非结构化或半结构化类型的数据，甚至更有一部分是不断变化的流数据。因此，数据的爆炸性增长态势，以及其数据构成特点使得人们进入了“大数据”时代。
         </p>
         <p> 一般认为，大数据主要具有以下4个方面的典型特征，即大量(Volume)、多样(Variety)、高速(Velocity)和价值(Value)，即所谓的4V，接下来，通过一张图来具休描述。</p>
-        <p><img src="../../../assets/images/szjj/u1592.png" alt=""></p>
+        <p><img src="@/assets/images/szjj/u1592.png" alt=""></p>
         <p style="font-weight:600;"> 一、Volume(大量)</p><p>大数据的特征首先就是数据规模大。随着互联网、物联网、移动互联技术的发展，人和事物的所有轨迹都可以被记录下来，数据呈现出爆发性增长。数据相关计量单位的换算关系如下表所示。</p>
-        <p><img src="../../../assets/images/szjj/u1594.png" alt=""></p>
+        <p><img src="@/assets/images/szjj/u1594.png" alt=""></p>
         <p>互联网每分钟产生的数据</p>
-        <p><img src="../../../assets/images/szjj/u1597.png" alt=""></p>
+        <p><img src="@/assets/images/szjj/u1597.png" alt=""></p>
         <p style="font-weight:600;"> 二、Variety(多样)</p><p>
             数据来源的广泛性，决定了数据形式的多样性。我们把这些数据大致分为三类：结构化的数据、半结构化的数据和非结构化的数据。<br/>
             结构化的数据，一般指的是关系型数据库中的数据，例如MySQL、Oracle中的表中的数据。如财务系统数据、信息管理系统数据、医疗系统数据等,其特点是数据间因果关系强。这些数据中，每一行的数据都保持着相同的数据格式，有规律可循，非常容易处理。<br/>
diff --git a/src/views/digitalMarketingAlgorithms/components/descriptiveStatistics.vue b/src/views/digitalMarketingAlgorithms/components/descriptiveStatistics.vue
index c1d87d0..7c8b125 100644
--- a/src/views/digitalMarketingAlgorithms/components/descriptiveStatistics.vue
+++ b/src/views/digitalMarketingAlgorithms/components/descriptiveStatistics.vue
@@ -142,6 +142,8 @@
 </template>
 
 <script setup>
+import * as API from "@/api/AI.js";
+
 import * as marketingAlgorithmApi from "@/api/marketing-algorithm.js";
 import useAlgorithmStore from "@/store/modules/algorithm.js";
 import useUserStore from "@/store/modules/user";
@@ -157,9 +159,6 @@ const n_dataTableQuery = ref({
 const dialogVisible = ref(false);
 // 模型参数
 const modelParams = reactive([
-  {
-    name: "统计量",
-  },
   {
     name: "平均数",
   },
@@ -224,15 +223,13 @@ const preProcessText = ref({
 const g_modelParameter = ref([]);
 // 预处理
 const preProcess = (tetx) => {
-  marketingAlgorithmApi
-    .getMarketingAlgorithmPreprocessing({
-      mapList: analysisData.value,
-      method: preProcessText.value.text2,
-      userId: n_dataTableQuery.value.userId,
-    })
-    .then((res) => {
-      analysisData.value = res.data;
-    });
+  API.dataPreprocessing({
+    mapList: analysisData.value,
+    method: preProcessText.value.text2,
+    userId: n_dataTableQuery.value.userId,
+  }).then((res) => {
+    analysisData.value = res.data;
+  });
 };
 // 提交
 const taskSubmit = () => {