From 5deff41679ea3e4ff7cb32e4fb6452bdcaa5f05c Mon Sep 17 00:00:00 2001
From: fks-yangshouda <yangshoudamhy@163.com>
Date: Mon, 15 Jul 2024 15:38:28 +0800
Subject: [PATCH] =?UTF-8?q?1.=E8=83=BD=E8=80=97=E7=9B=91=E6=B5=8B=20-=20?=
 =?UTF-8?q?=E5=88=86=E6=9E=90=20=E4=B8=8B=E8=BD=BD=E5=9B=BE=E8=A1=A8=202.?=
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---
 hx-ai-intelligent/src/router/monitor.ts            |  38 +-
 .../monitor/energyMonitor/analysisGraph/index.vue  |  50 +-
 .../environmentMonitor/aggregateData/index.vue     | 627 +++++++++++++++++++++
 .../src/view/monitor/environmentMonitor/index.vue  |  24 +
 4 files changed, 710 insertions(+), 29 deletions(-)
 create mode 100644 hx-ai-intelligent/src/view/monitor/environmentMonitor/aggregateData/index.vue
 create mode 100644 hx-ai-intelligent/src/view/monitor/environmentMonitor/index.vue

diff --git a/hx-ai-intelligent/src/router/monitor.ts b/hx-ai-intelligent/src/router/monitor.ts
index 65d21c1..8a21dde 100644
--- a/hx-ai-intelligent/src/router/monitor.ts
+++ b/hx-ai-intelligent/src/router/monitor.ts
@@ -5,25 +5,25 @@ const equipment = {
   meta: { title: '监控中心', icon: 'jiankongzhongxin', index: 1 },
   redirect: { name: 'EnvironmentMonitor' },
   children: [
-    // {
-    //   path: 'environmentMonitor',
-    //   name: 'EnvironmentMonitor',
-    //   meta: { title: '环境监测', hideChildren: true, icon: 'huanjingjiance' },
-    //   component: Base,
-    //   redirect: { name: 'EnvironmentMonitorIndex' },
-    //   children: [
-    //     {
-    //       path: 'index',
-    //       name: 'EnvironmentMonitorIndex',
-    //       component: () => import('/@/view/monitor/environmentMonitor/index.vue'),
-    //       meta: {
-    //         title: '环境监测',
-    //         keepAlive: true,
-    //         // backApi: [],
-    //       },
-    //     },
-    //   ],
-    // },
+    {
+      path: 'environmentMonitor',
+      name: 'EnvironmentMonitor',
+      meta: { title: '环境监测', hideChildren: true, icon: 'huanjingjiance' },
+      component: Base,
+      redirect: { name: 'EnvironmentMonitorIndex' },
+      children: [
+        {
+          path: 'index',
+          name: 'EnvironmentMonitorIndex',
+          component: () => import('/@/view/monitor/environmentMonitor/index.vue'),
+          meta: {
+            title: '环境监测',
+            keepAlive: true,
+            // backApi: [],
+          },
+        },
+      ],
+    },
     {
       path: 'deviceMonitor',
       name: 'DeviceMonitor',
diff --git a/hx-ai-intelligent/src/view/monitor/energyMonitor/analysisGraph/index.vue b/hx-ai-intelligent/src/view/monitor/energyMonitor/analysisGraph/index.vue
index b3948fa..59f51b2 100644
--- a/hx-ai-intelligent/src/view/monitor/energyMonitor/analysisGraph/index.vue
+++ b/hx-ai-intelligent/src/view/monitor/energyMonitor/analysisGraph/index.vue
@@ -48,6 +48,8 @@
 <script lang="ts">
   import { defineComponent, onMounted, ref, inject, watch } from 'vue';
   import * as echarts from 'echarts';
+  import JSZip from 'jszip';
+  import { saveAs } from 'file-saver';
 
   export default defineComponent({
     name: 'AnalysisGraph',
@@ -413,17 +415,45 @@
       });
 
       // 下载图表
-      const downloadChart = () => {
-        if (chartInstance) {
-          const base64 = chartInstance.getDataURL({
-            type: 'png',
-            backgroundColor: '#fff',
+      const downloadChart = async () => {
+        // if (chartInstance) {
+        //   const base64 = chartInstance.getDataURL({
+        //     type: 'png',
+        //     backgroundColor: '#fff',
+        //   });
+        //   const link = document.createElement('a');
+        //   link.href = base64;
+        //   link.download = 'chart.png';
+        //   link.click();
+        // }
+        const zip = new JSZip();
+        const chartInstances = [chartInstance, chartRight1, chartRight2];
+        const imagePromises = chartInstances.map((chart: any, index) => {
+          return new Promise((resolve) => {
+            const base64 = chart.getDataURL({
+              type: 'png',
+              backgroundColor: '#fff',
+            });
+            // 将 Base64 转换为二进制
+            const binary = atob(base64.split(',')[1]);
+            const array = [];
+            for (let i = 0; i < binary.length; i++) {
+              array.push(binary.charCodeAt(i));
+            }
+            const uint8Array = new Uint8Array(array);
+            resolve({ name: `chart${index + 1}.png`, data: uint8Array });
           });
-          const link = document.createElement('a');
-          link.href = base64;
-          link.download = 'chart.png';
-          link.click();
-        }
+        });
+
+        const images = await Promise.all(imagePromises);
+
+        images.forEach((image: any) => {
+          zip.file(image.name, image.data);
+        });
+
+        zip.generateAsync({ type: 'blob' }).then((content) => {
+          saveAs(content, 'charts.zip'); // 使用 FileSaver.js 保存 ZIP 文件
+        });
       };
 
       return {
diff --git a/hx-ai-intelligent/src/view/monitor/environmentMonitor/aggregateData/index.vue b/hx-ai-intelligent/src/view/monitor/environmentMonitor/aggregateData/index.vue
new file mode 100644
index 0000000..1536c37
--- /dev/null
+++ b/hx-ai-intelligent/src/view/monitor/environmentMonitor/aggregateData/index.vue
@@ -0,0 +1,627 @@
+<template>
+  <a-row type="flex" style="height: 100%; width: 96%; margin: 2%">
+    <a-col :span="6">
+      <!-- <div style="height: 96%; margin: 2%"> -->
+      <div
+        style="
+          height: 35%;
+          width: 100%;
+          padding: 2%;
+          box-shadow: 0 0 0 2px rgba(218, 218, 218, 0.5);
+          border-radius: 10px;
+        "
+        ><span>设备状态</span>
+        <div style="display: flex; width: 100%; height: 100%">
+          <div ref="ringChartRef" style="width: 50%; height: 80%"></div>
+          <div style="width: 50%; height: 80%; padding-top: 5%">
+            <div v-for="(item, index) in ringData" :key="index">
+              {{ item.name }} : {{ item.value }} {{ item.unit }}
+              <a-progress
+                :percent="(100 * item.value) / sum"
+                :show-info="false"
+                style="padding-right: 30%" />
+            </div>
+          </div>
+        </div>
+      </div>
+      <div
+        style="
+          height: 62%;
+          margin-top: 4%;
+          padding: 2%;
+          box-shadow: 0 0 0 2px rgba(218, 218, 218, 0.5);
+          border-radius: 10px;
+        "
+        ><div style="height: 10%">平均值</div>
+        <div style="display: flex; display: flex; flex-wrap: wrap; width: 100%; height: 100%">
+          <div
+            v-for="(item, index) in averageData"
+            :key="index"
+            style="
+              width: 33%;
+              height: 45%;
+              /* display: flex; */
+              /* flex-direction: column;
+              justify-content: center;
+              align-items: center;  */
+              /* margin: 10%;
+            ">
+            <div
+              style="
+                height: 90%;
+                margin: 0 5%;
+                /* box-shadow: 0 0 0 2px rgba(218, 218, 218, 0.5); */
+                border-radius: 10px;
+                background-color: rgba(67, 136, 251, 0.09803921568627451);
+                display: flex;
+                flex-direction: column;
+                justify-content: center;
+                align-items: center;
+              ">
+              <!-- <ns-icon :name="item.iconName" size="50" /> -->
+              <img :src="item.iconName" alt="" width="48px" height="48px" />
+              <div
+                style="
+                  font-family: '微软雅黑', sans-serif;
+                  font-weight: 400;
+                  font-style: normal;
+                  font-size: 14px;
+                "
+                >{{ item.name }}</div
+              >
+              <div
+                style="
+                  font-family: '微软雅黑 Bold', '微软雅黑 Regular', '微软雅黑', sans-serif;
+                  font-weight: 700;
+                  font-style: normal;
+                  color: #ea7000;
+                  text-align: center;
+                "
+                >{{ item.value }}</div
+              >
+              <div
+                style="
+                  font-family: '微软雅黑', sans-serif;
+                  font-weight: 400;
+                  font-style: normal;
+                  font-size: 10px;
+                  color: #7f7f7f;
+                  text-align: center;
+                "
+                >{{ item.unit }}</div
+              >
+            </div>
+          </div>
+        </div></div
+      >
+      <!-- </div> -->
+    </a-col>
+    <a-col :span="18">
+      <!-- <div style="height: 96%; margin: 2%"> -->
+      <div
+        style="
+          width: 100%;
+          height: 100%;
+          margin-left: 20px;
+          padding: 1%;
+          box-shadow: 0 0 0 2px rgba(218, 218, 218, 0.5);
+          border-radius: 10px;
+        "
+        >环境指数分析 <div ref="hotChartRef" style="width: 100%; height: 95%"></div
+      ></div>
+
+      <!-- </div> -->
+    </a-col>
+  </a-row>
+</template>
+<script lang="ts">
+  export default {
+    components: {
+      'a-progress': Progress,
+    },
+  };
+</script>
+<script lang="ts" setup>
+  import { ref, onMounted } from 'vue';
+  import * as echarts from 'echarts';
+  import { Progress } from 'ant-design-vue';
+  defineOptions({
+    name: 'AggregateData', // 与页面路由name一致缓存才可生效
+  });
+
+  const ringChartRef = ref(null);
+  const hotChartRef = ref(null);
+
+  const ringData = ref();
+  const averageData = ref();
+
+  // 圆环图
+  let ringChar: echarts.ECharts | null = null;
+  // 热力图
+  let hotChar: echarts.ECharts | null = null;
+  const sum = ref(0);
+
+  onMounted(() => {
+    // 接口获取设备状态数据
+    ringData.value = [
+      {
+        name: '在线',
+        value: 15,
+        unit: '台',
+      },
+      {
+        name: '离线',
+        value: 3,
+        unit: '台',
+      },
+    ];
+    averageData.value = [
+      {
+        name: '温度',
+        value: 28.55,
+        unit: '℃',
+        iconName:
+          'data:image/png;base64,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',
+      },
+      {
+        name: 'CO2浓度',
+        value: 456,
+        unit: 'ppm',
+        iconName:
+          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',
+      },
+      {
+        name: 'PM2.5',
+        value: 61.51,
+        unit: 'μg/m³',
+        iconName:
+          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',
+      },
+      {
+        name: '光照度',
+        value: 60,
+        unit: 'lux',
+        iconName:
+          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',
+      },
+      {
+        name: 'TVOC',
+        value: 245,
+        unit: 'mg/m³',
+        iconName:
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',
+      },
+      {
+        name: '湿度',
+        value: 43,
+        unit: '%',
+        iconName:
+          'data:image/png;base64,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',
+      },
+    ];
+    let hotData = {
+      timeList: [
+        '0:00',
+        '1:00',
+        '2:00',
+        '3:00',
+        '4:00',
+        '5:00',
+        '6:00',
+        '7:00',
+        '8:00',
+        '9:00',
+        '10:00',
+        '11:00',
+        '12:00',
+        '13:00',
+        '14:00',
+        '15:00',
+        '16:00',
+        '17:00',
+        '18:00',
+        '19:00',
+        '20:00',
+        '21:00',
+        '22:00',
+        '23:00',
+      ],
+      positionList: [
+        '平均值',
+        '站厅一区',
+        '站厅二区',
+        '站厅三区',
+        '站厅四区',
+        '办公一区',
+        '办公二区',
+        '办公三区',
+        '办公四区',
+      ],
+      hotList: [
+        [0, 0, 5],
+        [1, 0, 1],
+        [2, 0, 0],
+        [3, 0, 0],
+        [4, 0, 0],
+        [5, 0, 0],
+        [6, 0, 0],
+        [7, 0, 0],
+        [8, 0, 0],
+        [9, 0, 0],
+        [10, 0, 0],
+        [11, 0, 2],
+        [12, 0, 4],
+        [13, 0, 1],
+        [14, 0, 1],
+        [15, 0, 3],
+        [16, 0, 4],
+        [17, 0, 6],
+        [18, 0, 4],
+        [19, 0, 30],
+        [20, 0, 3],
+        [21, 0, 3],
+        [22, 0, 2],
+        [23, 0, 5],
+        [0, 1, 7],
+        [1, 1, 0],
+        [2, 1, 28],
+        [3, 1, 0],
+        [4, 1, 0],
+        [5, 1, 0],
+        [6, 1, 0],
+        [7, 1, 0],
+        [8, 1, 22],
+        [9, 1, 0],
+        [10, 1, 5],
+        [11, 1, 2],
+        [12, 1, 2],
+        [13, 1, 6],
+        [14, 1, 9],
+        [15, 1, 11],
+        [16, 1, 6],
+        [17, 1, 7],
+        [18, 1, 8],
+        [19, 1, 12],
+        [20, 1, 5],
+        [21, 1, 5],
+        [22, 1, 7],
+        [23, 1, 2],
+        [0, 2, 1],
+        [1, 2, 1],
+        [2, 2, 0],
+        [3, 2, 0],
+        [4, 2, 0],
+        [5, 2, 0],
+        [6, 2, 0],
+        [7, 2, 0],
+        [8, 2, 0],
+        [9, 2, 0],
+        [10, 2, 3],
+        [11, 2, 2],
+        [12, 2, 1],
+        [13, 2, 9],
+        [14, 2, 8],
+        [15, 2, 10],
+        [16, 2, 6],
+        [17, 2, 5],
+        [18, 2, 5],
+        [19, 2, 5],
+        [20, 2, 7],
+        [21, 2, 4],
+        [22, 2, 2],
+        [23, 2, 4],
+        [0, 3, 7],
+        [1, 3, 3],
+        [2, 3, 0],
+        [3, 3, 0],
+        [4, 3, 0],
+        [5, 3, 0],
+        [6, 3, 0],
+        [7, 3, 0],
+        [8, 3, 1],
+        [9, 3, 0],
+        [10, 3, 5],
+        [11, 3, 4],
+        [12, 3, 7],
+        [13, 3, 14],
+        [14, 3, 13],
+        [15, 3, 12],
+        [16, 3, 9],
+        [17, 3, 5],
+        [18, 3, 5],
+        [19, 3, 10],
+        [20, 3, 6],
+        [21, 3, 4],
+        [22, 3, 4],
+        [23, 3, 1],
+        [0, 4, 1],
+        [1, 4, 3],
+        [2, 4, 0],
+        [3, 4, 0],
+        [4, 4, 0],
+        [5, 4, 1],
+        [6, 4, 0],
+        [7, 4, 0],
+        [8, 4, 0],
+        [9, 4, 2],
+        [10, 4, 4],
+        [11, 4, 4],
+        [12, 4, 2],
+        [13, 4, 4],
+        [14, 4, 4],
+        [15, 4, 14],
+        [16, 4, 12],
+        [17, 4, 1],
+        [18, 4, 8],
+        [19, 4, 5],
+        [20, 4, 3],
+        [21, 4, 7],
+        [22, 4, 3],
+        [23, 4, 0],
+        [0, 5, 2],
+        [1, 5, 1],
+        [2, 5, 0],
+        [3, 5, 3],
+        [4, 5, 0],
+        [5, 5, 0],
+        [6, 5, 0],
+        [7, 5, 0],
+        [8, 5, 2],
+        [9, 5, 0],
+        [10, 5, 4],
+        [11, 5, 1],
+        [12, 5, 5],
+        [13, 5, 10],
+        [14, 5, 5],
+        [15, 5, 7],
+        [16, 5, 11],
+        [17, 5, 6],
+        [18, 5, 0],
+        [19, 5, 5],
+        [20, 5, 3],
+        [21, 5, 4],
+        [22, 5, 2],
+        [23, 5, 0],
+        [0, 6, 1],
+        [1, 6, 0],
+        [2, 6, 0],
+        [3, 6, 0],
+        [4, 6, 0],
+        [5, 6, 0],
+        [6, 6, 0],
+        [7, 6, 0],
+        [8, 6, 0],
+        [9, 6, 0],
+        [10, 6, 1],
+        [11, 6, 0],
+        [12, 6, 2],
+        [13, 6, 1],
+        [14, 6, 3],
+        [15, 6, 4],
+        [16, 6, 0],
+        [17, 6, 0],
+        [18, 6, 0],
+        [19, 6, 0],
+        [20, 6, 1],
+        [21, 6, 2],
+        [22, 6, 2],
+        [23, 6, 6],
+        [0, 7, 1],
+        [1, 7, 0],
+        [2, 7, 0],
+        [3, 7, 0],
+        [4, 7, 0],
+        [5, 7, 0],
+        [6, 7, 0],
+        [7, 7, 0],
+        [8, 7, 0],
+        [9, 7, 0],
+        [10, 7, 1],
+        [11, 7, 0],
+        [12, 7, 2],
+        [13, 7, 1],
+        [14, 7, 3],
+        [15, 7, 4],
+        [16, 7, 0],
+        [17, 7, 0],
+        [18, 7, 0],
+        [19, 7, 0],
+        [20, 7, 1],
+        [21, 7, 2],
+        [22, 7, 2],
+        [23, 7, 6],
+        [0, 8, 1],
+        [1, 8, 0],
+        [2, 8, 0],
+        [3, 8, 0],
+        [4, 8, 0],
+        [5, 8, 0],
+        [6, 8, 0],
+        [7, 8, 0],
+        [8, 8, 0],
+        [9, 8, 0],
+        [10, 8, 1],
+        [11, 8, 0],
+        [12, 8, 2],
+        [13, 8, 1],
+        [14, 8, 3],
+        [15, 8, 4],
+        [16, 8, 0],
+        [17, 8, 0],
+        [18, 8, 0],
+        [19, 8, 0],
+        [20, 8, 1],
+        [21, 8, 2],
+        [22, 8, 2],
+        [23, 8, 6],
+        [0, 9, 1],
+        [1, 9, 0],
+        [2, 9, 0],
+        [3, 9, 0],
+        [4, 9, 0],
+        [5, 9, 0],
+        [6, 9, 0],
+        [7, 9, 0],
+        [8, 9, 0],
+        [9, 9, 0],
+        [10, 9, 1],
+        [11, 9, 0],
+        [12, 9, 2],
+        [13, 9, 1],
+        [14, 9, 3],
+        [15, 9, 4],
+        [16, 9, 0],
+        [17, 9, 0],
+        [18, 9, 0],
+        [19, 9, 0],
+        [20, 9, 1],
+        [21, 9, 2],
+        [22, 9, 2],
+        [23, 9, 6],
+      ],
+    };
+    drawRing(ringData.value);
+    drawHot(hotData);
+  });
+
+  const drawRing = (data: any[]) => {
+    if (data && data.length > 0) {
+      if (ringChar) {
+        ringChar.dispose();
+      }
+      ringChar = echarts.init(ringChartRef.value);
+
+      var seriesdata = [];
+      var dateX = [];
+      sum.value = 0;
+      // var legendList: string | any[] = [];
+      for (let i = 0; i < data.length; i++) {
+        dateX.push(data[i].name);
+        sum.value += data[i].value;
+        seriesdata.push({ value: data[i].value, name: data[i].name });
+      }
+      var seriesList = [
+        {
+          data: seriesdata,
+          type: 'pie',
+          // 圆环内径和外径
+          radius: ['70%', '90%'],
+          center: ['40%', '50%'], // 调整环形图的位置，百分比表示相对于容器的宽高
+          // // 显示折线
+          labelLine: {
+            show: false,
+          },
+          label: {
+            show: false,
+          },
+          itemStyle: {
+            normal: {
+              // 白色间距
+              borderWidth: 2,
+              borderColor: '#ffffff',
+            },
+          },
+        },
+      ];
+
+      const option = {
+        tooltip: {
+          trigger: 'item',
+        },
+        graphic: [
+          {
+            type: 'text',
+            left: '31%',
+            top: '33%',
+            style: {
+              text: '总计',
+              fill: '#000',
+              fontSize: 20,
+            },
+          },
+          {
+            type: 'text',
+            left: '30%',
+            top: '55%',
+            style: {
+              text: sum.value,
+              fill: '#000',
+              fontSize: 32,
+              fontWeight: 'bold',
+            },
+          },
+        ],
+        series: seriesList,
+      };
+
+      ringChar = echarts.init(ringChartRef.value);
+      ringChar.setOption(option);
+    }
+  };
+  const drawHot = (data: any) => {
+    if (data) {
+      if (hotChar) {
+        hotChar.dispose();
+      }
+      hotChar = echarts.init(hotChartRef.value);
+
+      const option = {
+        tooltip: {
+          position: 'top',
+        },
+        grid: {
+          height: '80%',
+          width: '85%',
+          top: '10%',
+        },
+        xAxis: {
+          type: 'category',
+          data: data.timeList,
+          splitArea: {
+            show: true,
+          },
+        },
+        yAxis: {
+          type: 'category',
+          data: data.positionList,
+          splitArea: {
+            show: true,
+          },
+        },
+        visualMap: {
+          show: false,
+          min: 0,
+          max: 30,
+          // calculable: true,
+          // orient: 'horizontal',
+          // left: 'center',
+          // bottom: '15%',
+          inRange: {
+            color: ['#BDE2FD', '#0D2977'],
+          },
+        },
+        series: [
+          {
+            // name: 'Punch Card',
+            type: 'heatmap',
+            data: data.hotList,
+            label: {
+              show: true,
+            },
+            emphasis: {
+              itemStyle: {
+                shadowBlur: 10,
+                shadowColor: 'rgba(0, 0, 0, 0.5)',
+              },
+            },
+          },
+        ],
+      };
+
+      hotChar = echarts.init(hotChartRef.value);
+      hotChar.setOption(option);
+    }
+  };
+</script>
+
+<style lang="less" scoped></style>
diff --git a/hx-ai-intelligent/src/view/monitor/environmentMonitor/index.vue b/hx-ai-intelligent/src/view/monitor/environmentMonitor/index.vue
new file mode 100644
index 0000000..48caad7
--- /dev/null
+++ b/hx-ai-intelligent/src/view/monitor/environmentMonitor/index.vue
@@ -0,0 +1,24 @@
+<template>
+  <a-tabs v-model:activeKey="activeKey" style="height: 5%">
+    <a-tab-pane key="1" tab="综合数据" />
+    <a-tab-pane key="2" tab="历史数据" force-render>Content of Tab Pane 2</a-tab-pane>
+    <a-tab-pane key="3" tab="平均数据">Content of Tab Pane 3</a-tab-pane>
+  </a-tabs>
+  <!-- <ns-view-list-table v-bind="tableConfig" v-if="activeKey == '1'" /> -->
+
+  <aggregate-data ref="aggregateDataRef" v-if="activeKey == '1'" style="height: 85%" />
+</template>
+<script lang="ts" setup>
+  import { ref } from 'vue';
+  import { tableConfig } from './config';
+  import aggregateData from './aggregateData/index.vue';
+
+  const aggregateDataRef = ref();
+
+  var activeKey = ref('1');
+
+  defineOptions({
+    name: 'EnvironmentMonitorIndex', // 与页面路由name一致缓存才可生效
+  });
+</script>
+<style lang="less" scoped></style>