HarmonyOS 6（API 23）智能体驱动的沉浸式AR城市地下管网运维中心

想你依然心痛2026-06-01 9:23

文章目录

    • 每日一句正能量
    • 一、前言：当城市命脉遇见鸿蒙智能体
    • 二、技术架构与核心能力解析
      • [2.1 系统架构设计](#2.1 系统架构设计)
      • [2.2 核心技术栈](#2.2 核心技术栈)
    • 三、核心代码实战
      • [3.1 悬浮运维面板：AR地表上的管网数据中枢](#3.1 悬浮运维面板：AR地表上的管网数据中枢)
      • [3.2 沉浸光感地下透视：管网介质可视化](#3.2 沉浸光感地下透视：管网介质可视化)
      • [3.3 管网智能体集群：运维决策支持](#3.3 管网智能体集群：运维决策支持)
      • [3.4 鸿蒙PC调度中枢：城市级管网态势感知](#3.4 鸿蒙PC调度中枢：城市级管网态势感知)
    • 四、关键特性深度解析
      • [4.1 地面设施避让的AR空间感知](#4.1 地面设施避让的AR空间感知)
      • [4.2 地下光感的深度直觉](#4.2 地下光感的深度直觉)
      • [4.3 多智能体的运维闭环](#4.3 多智能体的运维闭环)
    • 五、应用场景与生态价值
      • [5.1 日常巡检](#5.1 日常巡检)
      • [5.2 应急抢修](#5.2 应急抢修)
      • [5.3 施工监护](#5.3 施工监护)
    • 六、总结与展望

每日一句正能量

"当我们不再执着于对抗，时间反而能听见生命拔节的声音。"

人常把生活当成战场，习惯与困难、过去、甚至自己对抗。但"对抗"会制造噪音，让人听不见内在的变化。一旦放下执念，时间便从敌人变成土壤，而成长（拔节）原本静默有声，只是我们之前太吵。柔软比刚强更有力量。

一、前言：当城市命脉遇见鸿蒙智能体

城市地下管网是城市的"生命线"，包括供水、排水、燃气、电力、通信等数十万公里管道。传统运维依赖图纸查阅和人工巡检，地下空间不可见、信息碎片化、应急响应慢。据统计，我国每年因管网事故造成的直接经济损失超过千亿元。HarmonyOS 6（API 23）带来的**悬浮导航（Float Navigation）与沉浸光感（Immersive Light Sensing）**能力，结合管网运维智能体系统，让我们可以在AR空间中构建一个"城市地下管网运维中心"------运维人员通过AR眼镜或平板，在真实地面上透视地下管网，AI智能体实时识别管道病害、预测泄漏风险、规划维修路径、协调应急抢修。

本文将完整展示如何基于HarmonyOS 6新特性，开发一款AR城市地下管网运维中心应用。核心亮点包括：

  1. 悬浮管网面板：在AR地表场景中悬浮显示管道剖面、设备状态、维修工单，智能避让地面设施，支持手势拖拽与深度缩放
  2. 沉浸光感透视：根据地下深度和管道介质自动调节AR透视光效，将不可见的地下管网转化为直观的视觉图层
  3. 管网智能体集群：部署病害识别智能体、泄漏预测智能体、路径规划智能体，协同完成管网运维
  4. 鸿蒙PC调度中枢：运维数据实时同步至鸿蒙PC，支持城市级管网态势感知与资源调度

二、技术架构与核心能力解析

2.1 系统架构设计

复制代码 
┌─────────────────────────────────────────────────────────────┐
│                    应用层 (Application Layer)                  │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────────────┐ │
│  │ AR地表透视   │  │ 悬浮运维面板 │  │ 光感地下透视系统     │ │
│  │  (ARKit)    │  │ (FloatNav)  │  │  (PipeLight)        │ │
│  └─────────────┘  └─────────────┘  └─────────────────────┘ │
├─────────────────────────────────────────────────────────────┤
│                    智能体层 (Agent Layer)                      │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────────────┐ │
│  │ 病害识别智能体│  │ 泄漏预测智能体│  │ 路径规划智能体       │ │
│  │  (Defect)   │  │  (LeakPred) │  │  (PathPlan)         │ │
│  └─────────────┘  └─────────────┘  └─────────────────────┘ │
├─────────────────────────────────────────────────────────────┤
│                    能力层 (Capability Layer)                   │
│  ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────────┐ │
│  │ AR引擎   │ │ 光感API   │ │ 悬浮组件  │ │ 管网IoT接入   │ │
│  │ (ARKit)  │ │(Ambient) │ │(FloatNav)│ │ (PipeIoT)    │ │
│  └──────────┘ └──────────┘ └──────────┘ └──────────────┘ │
├─────────────────────────────────────────────────────────────┤
│                    系统服务层 (System Service)                 │
│         HarmonyOS 6 Kernel + 分布式软总线 + AI推理框架        │
└─────────────────────────────────────────────────────────────┘

2.2 核心技术栈

技术模块 对应API/框架 功能说明
AR空间计算 ARKit (API 23增强) 地表定位、地下管网三维重建、空间锚定
悬浮导航 FloatNavigation (API 23新增) 运维面板悬浮、地面设施避让、手势交互
沉浸光感 AmbientLightEngine + PipeLight 地下深度光效、介质颜色编码、透视可视化
管网智能体 MindSpore Lite + 管网知识图谱 端侧AI病害识别与泄漏预测
管网IoT PipeIoT + 传感器网络 压力、流量、温度、声学传感器实时采集
鸿蒙PC联动 DistributedData + 跨屏协同 城市级管网态势感知与资源调度

三、核心代码实战

3.1 悬浮运维面板：AR地表上的管网数据中枢

HarmonyOS 6的FloatNavigation在管网运维场景中需要支持地面设施避让------当面板靠近AR中的地面设施（如井盖、消防栓、配电箱）时自动透明化或位移，避免遮挡运维人员观察现场。

代码亮点：地下管网剖面图、设备实时状态、维修工单管理、手势缩放查看管道细节。

typescript 复制代码 
// PipeFloatPanels.ets
// AR城市地下管网运维悬浮面板系统

import { ARScene, ARNode } from '@kit.ARKit';
import { FloatNavigation, FloatNavConfig } from '@kit.FloatNavigation';
import { GestureDetector, GestureType } from '@kit.GestureKit';
import { PipeIoT, SensorData, PipeNetwork } from '@kit.PipeIoT';

@Component
export struct PipeFloatPanels {
  @State panels: Map<string, PanelConfig> = new Map([
    ['pipe_profile', { 
      position: { x: 40, y: 80 }, 
      size: { w: 380, h: 400 },
      title: '管道剖面',
      icon: '🔧'
    }],
    ['device_status', { 
      position: { x: 450, y: 80 }, 
      size: { w: 320, h: 360 },
      title: '设备状态',
      icon: '⚙️'
    }],
    ['work_order', { 
      position: { x: 40, y: 520 }, 
      size: { w: 340, h: 300 },
      title: '维修工单',
      icon: '📋'
    }],
    ['risk_alert', { 
      position: { x: 410, y: 520 }, 
      size: { w: 340, h: 260 },
      title: '风险预警',
      icon: '⚠️'
    }]
  ]);
  
  @State pipeNetwork: PipeNetwork | null = null;
  @State selectedPipe: PipeInfo | null = null;
  @State deviceStatus: Map<string, DeviceStatus> = new Map();
  @State workOrders: WorkOrder[] = [];
  @State riskAlerts: RiskAlert[] = [];
  @State sensorData: Map<string, SensorData> = new Map();
  @State currentDepth: number = 0;
  
  private pipeIoT: PipeIoT;
  private dataInterval: number | null = null;

  aboutToAppear() {
    // 初始化管网IoT接入
    this.pipeIoT = new PipeIoT({
      protocols: ['mqtt', 'lora', 'nbiot'],
      cities: ['beijing', 'shanghai', 'shenzhen']
    });
    
    // 连接管网传感器网络
    this.connectPipeSensors();
    
    // 加载管网数据
    this.loadPipeNetwork();
    
    // 启动数据刷新
    this.startDataRefresh();
  }

  aboutToDisappear() {
    if (this.dataInterval) {
      clearInterval(this.dataInterval);
    }
    this.pipeIoT.disconnect();
  }

  // 连接管网传感器
  private async connectPipeSensors(): Promise<void> {
    const sensors = await this.pipeIoT.discoverSensors({
      types: ['pressure', 'flow', 'temperature', 'acoustic', 'gas'],
      radius: 1000 // 1km范围
    });

    for (const sensor of sensors) {
      await this.pipeIoT.registerSensor(sensor.id, sensor);
    }
  }

  // 加载管网数据
  private async loadPipeNetwork(): Promise<void> {
    // 从GIS系统加载管网数据
    this.pipeNetwork = await this.pipeIoT.loadNetwork({
      city: 'beijing',
      district: 'chaoyang',
      types: ['water', 'gas', 'sewage', 'power', 'communication']
    });

    // 创建AR管网可视化
    this.createARPipes();
  }

  // 创建AR管道
  private createARPipes(): void {
    if (!this.pipeNetwork) return;

    this.pipeNetwork.pipes.forEach((pipe, index) => {
      // 创建管道3D模型
      const pipeNode = ARNode.createTube({
        start: pipe.startPoint,
        end: pipe.endPoint,
        radius: pipe.diameter / 2000, // mm to m
        color: this.getPipeColor(pipe.type),
        opacity: 0.7
      });
      pipeNode.id = `pipe_${pipe.id}`;
      pipeNode.userData = pipe;
      ARScene.addNode(pipeNode);

      // 创建管道标签
      const label = ARNode.createLabel({
        text: `${pipe.type}\n${pipe.diameter}mm\n${pipe.depth}m`,
        fontSize: 10,
        backgroundColor: 'rgba(0,0,0,0.6)',
        textColor: '#FFFFFF',
        padding: 4
      });
      label.id = `label_${pipe.id}`;
      label.position = {
        x: (pipe.startPoint.x + pipe.endPoint.x) / 2,
        y: -pipe.depth,
        z: (pipe.startPoint.z + pipe.endPoint.z) / 2
      };
      label.billboardMode = BillboardMode.BILLBOARD_Y;
      ARScene.addNode(label);
    });
  }

  // 获取管道颜色
  private getPipeColor(type: string): string {
    const colors: Record<string, string> = {
      water: '#4169E1',      // 供水：蓝色
      gas: '#FF6347',        // 燃气：红色
      sewage: '#8B4513',     // 污水：棕色
      power: '#FFD700',      // 电力：黄色
      communication: '#32CD32' // 通信：绿色
    };
    return colors[type] || '#808080';
  }

  // 启动数据刷新
  private startDataRefresh(): void {
    this.dataInterval = setInterval(async () => {
      // 读取传感器数据
      const readings = await this.pipeIoT.readAllSensors();
      
      readings.forEach((data, sensorId) => {
        this.sensorData.set(sensorId, data);
        
        // 更新设备状态
        this.deviceStatus.set(sensorId, {
          online: data.timestamp > Date.now() - 60000,
          battery: data.battery || 100,
          lastValue: data.value,
          status: this.evaluateSensorStatus(data)
        });
      });

      // 更新风险预警
      await this.updateRiskAlerts();
      
      // 更新AR管道状态
      this.updateARPipeStatus();
      
      // 同步到鸿蒙PC
      this.syncToPC();
    }, 5000);
  }

  build() {
    Stack() {
      // 多面板容器
      ForEach(Array.from(this.panels.entries()), (entry: [string, PanelConfig]) => {
        const [panelId, config] = entry;
        
        FloatNavigation({
          id: panelId,
          position: config.position,
          size: config.size,
          collisionAvoidance: true,
          facilityDetection: true,  // 启用地面设施避让
          onPositionChange: (pos: Position) => {
            this.updatePanelPosition(panelId, pos);
          },
          onFacilityProximity: (facilityId: string, distance: number) => {
            // 靠近地面设施时自动调整
            this.adjustPanelForFacility(panelId, facilityId, distance);
          }
        }) {
          this.buildPanelContent(panelId, config);
        }
        .backgroundColor('rgba(20, 25, 35, 0.92)')
        .borderRadius(14)
        .border({
          width: 1,
          color: 'rgba(70, 130, 180, 0.4)'
        })
        .backdropBlur(25)
      });
    }
    .width('100%')
    .height('100%');
  }

  // 构建面板内容
  @Builder
  buildPanelContent(panelId: string, config: PanelConfig) {
    Column() {
      // 面板标题栏
      Row() {
        Text(`${config.icon} ${config.title}`)
          .fontSize(15)
          .fontWeight(FontWeight.Bold)
          .fontColor('#4682B4');
        
        // 深度指示
        if (panelId === 'pipe_profile') {
          Text(`${this.currentDepth.toFixed(1)}m`)
            .fontSize(11)
            .fontColor('#87CEEB')
            .margin({ left: 8 });
        }
      }
      .width('100%')
      .height(40)
      .padding({ left: 14, right: 14 })
      .justifyContent(FlexAlign.Start);

      Divider().color('rgba(70, 130, 180, 0.2)');

      // 面板内容区
      Scroll() {
        switch (panelId) {
          case 'pipe_profile':
            PipeProfilePanel({ 
              network: this.pipeNetwork,
              selectedPipe: this.selectedPipe,
              onPipeSelect: (pipe: PipeInfo) => {
                this.selectedPipe = pipe;
                this.focusOnPipe(pipe);
              }
            });
            break;
          case 'device_status':
            DeviceStatusPanel({ 
              devices: this.deviceStatus,
              onDeviceSelect: (id: string) => this.showDeviceDetail(id)
            });
            break;
          case 'work_order':
            WorkOrderPanel({ 
              orders: this.workOrders,
              onOrderSelect: (order: WorkOrder) => this.showOrderDetail(order),
              onOrderCreate: () => this.createWorkOrder()
            });
            break;
          case 'risk_alert':
            RiskAlertPanel({ 
              alerts: this.riskAlerts,
              onAlertSelect: (alert: RiskAlert) => this.handleAlert(alert)
            });
            break;
        }
      }
      .width('100%')
      .layoutWeight(1);
    }
    .width('100%')
    .height('100%')
    .padding(10);
  }

  // 管道剖面面板
  @Builder
  PipeProfilePanel(params: { 
    network: PipeNetwork | null,
    selectedPipe: PipeInfo | null,
    onPipeSelect: (pipe: PipeInfo) => void
  }) {
    Column({ space: 12 }) {
      if (params.network) {
        // 管道类型筛选
        PipeTypeFilter({
          types: ['water', 'gas', 'sewage', 'power', 'communication'],
          onSelect: (type: string) => this.filterPipesByType(type)
        });

        // 管道剖面图
        PipeCrossSection({
          pipe: params.selectedPipe,
          depth: params.selectedPipe?.depth || 2.0
        })
        .width('100%')
        .height(160);

        // 管道列表
        Text('附近管道')
          .fontSize(13)
          .fontColor('#4682B4');

        ForEach(params.network.pipes.slice(0, 5), (pipe: PipeInfo) => {
          PipeListItem({
            pipe: pipe,
            isSelected: pipe.id === params.selectedPipe?.id,
            onTap: () => params.onPipeSelect(pipe)
          });
        });
      }
    }
    .width('100%')
    .padding(8);
  }

  // 设备状态面板
  @Builder
  DeviceStatusPanel(params: { 
    devices: Map<string, DeviceStatus>,
    onDeviceSelect: (id: string) => void
  }) {
    Column({ space: 8 }) {
      // 在线率统计
      OnlineRateBar({
        total: params.devices.size,
        online: Array.from(params.devices.values()).filter(d => d.online).length
      });

      // 设备列表
      ForEach(Array.from(params.devices.entries()).slice(0, 8), (entry: [string, DeviceStatus]) => {
        const [id, status] = entry;
        DeviceListItem({
          id: id,
          status: status,
          onTap: () => params.onDeviceSelect(id)
        });
      });
    }
    .width('100%')
    .padding(8);
  }

  // 维修工单面板
  @Builder
  WorkOrderPanel(params: { 
    orders: WorkOrder[],
    onOrderSelect: (order: WorkOrder) => void,
    onOrderCreate: () => void
  }) {
    Column({ space: 10 }) {
      // 工单统计
      OrderStats({
        pending: params.orders.filter(o => o.status === 'pending').length,
        inProgress: params.orders.filter(o => o.status === 'in_progress').length,
        completed: params.orders.filter(o => o.status === 'completed').length
      });

      // 工单列表
      ForEach(params.orders.slice(0, 5), (order: WorkOrder) => {
        OrderListItem({
          order: order,
          onTap: () => params.onOrderSelect(order)
        });
      });

      // 新建工单按钮
      Button('+ 新建工单')
        .fontSize(12)
        .backgroundColor('#4682B4')
        .width('100%')
        .onClick(() => params.onOrderCreate());
    }
    .width('100%')
    .padding(8);
  }

  // 风险预警面板
  @Builder
  RiskAlertPanel(params: { 
    alerts: RiskAlert[],
    onAlertSelect: (alert: RiskAlert) => void
  }) {
    Column({ space: 8 }) {
      if (params.alerts.length === 0) {
        Text('当前无风险预警')
          .fontColor('#32CD32')
          .fontSize(14);
      } else {
        Text(`共 ${params.alerts.length} 条预警`)
          .fontSize(13)
          .fontColor('#FF6347');

        ForEach(params.alerts, (alert: RiskAlert) => {
          AlertCard({
            alert: alert,
            onTap: () => params.onAlertSelect(alert)
          });
        });
      }
    }
    .width('100%')
    .padding(8);
  }

  // 聚焦管道
  private focusOnPipe(pipe: PipeInfo): void {
    const pipeNode = ARScene.getNode(`pipe_${pipe.id}`);
    if (pipeNode) {
      ARScene.focusOnNode(pipeNode, { 
        duration: 1000, 
        distance: 3.0 
      });
      
      // 高亮管道
      this.highlightPipe(pipeNode);
      
      // 更新当前深度
      this.currentDepth = pipe.depth;
    }
  }

  // 高亮管道
  private async highlightPipe(node: ARNode): Promise<void> {
    const originalOpacity = node.material.getOpacity();
    
    for (let i = 0; i < 3; i++) {
      node.material.setOpacity(1.0);
      await this.delay(300);
      node.material.setOpacity(originalOpacity);
      await this.delay(300);
    }
  }

  private delay(ms: number): Promise<void> {
    return new Promise(resolve => setTimeout(resolve, ms));
  }

  // 评估传感器状态
  private evaluateSensorStatus(data: SensorData): string {
    if (data.value > (data.threshold || Infinity)) return 'alarm';
    if (data.value > (data.warningThreshold || Infinity)) return 'warning';
    return 'normal';
  }

  // 更新风险预警
  private async updateRiskAlerts(): Promise<void> {
    // 基于传感器数据更新风险预警
    const newAlerts: RiskAlert[] = [];
    
    this.sensorData.forEach((data, sensorId) => {
      if (data.value > (data.threshold || Infinity)) {
        newAlerts.push({
          id: `alert_${Date.now()}_${sensorId}`,
          type: this.getAlertType(data),
          severity: 'critical',
          description: `${sensorId} 传感器数值异常: ${data.value}`,
          location: data.location,
          timestamp: Date.now()
        });
      }
    });
    
    this.riskAlerts = newAlerts;
  }

  // 获取预警类型
  private getAlertType(data: SensorData): string {
    const typeMap: Record<string, string> = {
      pressure: 'pressure_anomaly',
      flow: 'flow_anomaly',
      temperature: 'temperature_anomaly',
      acoustic: 'leak_detected',
      gas: 'gas_leak'
    };
    return typeMap[data.type] || 'unknown';
  }

  // 更新AR管道状态
  private updateARPipeStatus(): void {
    this.sensorData.forEach((data, sensorId) => {
      // 找到对应的管道
      const pipeId = this.findPipeBySensor(sensorId);
      if (pipeId) {
        const pipeNode = ARScene.getNode(`pipe_${pipeId}`);
        if (pipeNode) {
          // 根据状态更新颜色
          if (data.value > (data.threshold || Infinity)) {
            pipeNode.material.setColor('#FF0000'); // 报警红色
            pipeNode.material.setOpacity(1.0);
          } else if (data.value > (data.warningThreshold || Infinity)) {
            pipeNode.material.setColor('#FFAA00'); // 警告橙色
          }
        }
      }
    });
  }

  // 通过传感器查找管道
  private findPipeBySensor(sensorId: string): string | null {
    // 简化：从传感器ID映射到管道ID
    return sensorId.split('_')[0];
  }

  // 筛选管道
  private filterPipesByType(type: string): void {
    ARScene.getNodes().forEach(node => {
      if (node.id.startsWith('pipe_')) {
        const pipe = node.userData as PipeInfo;
        node.visible = pipe.type === type || type === 'all';
      }
    });
  }

  // 处理预警
  private async handleAlert(alert: RiskAlert): Promise<void> {
    // 聚焦到预警位置
    if (alert.location) {
      const alertNode = ARNode.createMarker({
        shape: MarkerShape.PIN,
        color: '#FF0000',
        size: 0.5,
        pulse: true
      });
      alertNode.position = alert.location;
      ARScene.addNode(alertNode);
    }
    
    // 自动生成工单
    await this.createEmergencyWorkOrder(alert);
  }

  // 创建紧急工单
  private async createEmergencyWorkOrder(alert: RiskAlert): Promise<void> {
    const order: WorkOrder = {
      id: `WO_${Date.now()}`,
      type: 'emergency',
      description: alert.description,
      location: alert.location,
      priority: 'critical',
      status: 'pending',
      createdAt: Date.now()
    };
    
    this.workOrders.unshift(order);
    
    // 同步到PC
    DistributedData.sync({
      store: 'pipe_workorders',
      data: order
    });
  }

  // 创建工单
  private createWorkOrder(): void {
    // 显示工单创建界面
  }

  // 显示设备详情
  private showDeviceDetail(id: string): void {
    // 显示设备详情弹窗
  }

  // 显示工单详情
  private showOrderDetail(order: WorkOrder): void {
    // 显示工单详情弹窗
  }

  // 地面设施避让调整
  private adjustPanelForFacility(panelId: string, facilityId: string, distance: number): void {
    // 靠近地面设施时调整面板
  }

  // 同步到PC
  private syncToPC(): void {
    DistributedData.sync({
      store: 'pipe_data',
      data: {
        sensors: Array.from(this.sensorData.entries()),
        alerts: this.riskAlerts,
        orders: this.workOrders,
        timestamp: Date.now()
      }
    });
  }

  private updatePanelPosition(id: string, pos: Position): void {
    const panel = this.panels.get(id);
    if (panel) {
      panel.position = pos;
      this.panels.set(id, panel);
    }
  }
}

// 管道列表项
@Component
struct PipeListItem {
  @Prop pipe: PipeInfo;
  @Prop isSelected: boolean;
  @Prop onTap: () => void;

  build() {
    Row({ space: 10 }) {
      // 管道类型色块
      Row()
        .width(4)
        .height('100%')
        .backgroundColor(this.getTypeColor());

      Column({ space: 4 }) {
        Text(`${this.pipe.type} ${this.pipe.diameter}mm`)
          .fontSize(13)
          .fontColor(this.isSelected ? '#4682B4' : '#FFFFFF');

        Text(`埋深 ${this.pipe.depth}m | ${this.pipe.material}`)
          .fontSize(11)
          .fontColor('#8E8E93');
      }
      .layoutWeight(1);
    }
    .width('100%')
    .height(48)
    .padding(8)
    .backgroundColor(this.isSelected ? 'rgba(70, 130, 180, 0.2)' : 'transparent')
    .borderRadius(6)
    .onClick(() => this.onTap());
  }

  private getTypeColor(): string {
    const colors: Record<string, string> = {
      water: '#4169E1',
      gas: '#FF6347',
      sewage: '#8B4513',
      power: '#FFD700',
      communication: '#32CD32'
    };
    return colors[this.pipe.type] || '#808080';
  }
}

// 设备列表项
@Component
struct DeviceListItem {
  @Prop id: string;
  @Prop status: DeviceStatus;
  @Prop onTap: () => void;

  build() {
    Row({ space: 8 }) {
      Circle()
        .width(8)
        .height(8)
        .fill(this.getStatusColor());

      Column({ space: 2 }) {
        Text(this.id)
          .fontSize(12)
          .fontColor('#FFFFFF');

        Text(`${this.status.lastValue.toFixed(2)} | ${this.status.status}`)
          .fontSize(10)
          .fontColor('#8E8E93');
      }
      .layoutWeight(1);

      Text(`${this.status.battery}%`)
        .fontSize(10)
        .fontColor(this.status.battery < 20 ? '#FF6347' : '#8E8E93');
    }
    .width('100%')
    .height(40)
    .padding(6)
    .onClick(() => this.onTap());
  }

  private getStatusColor(): string {
    if (!this.status.online) return '#808080';
    if (this.status.status === 'alarm') return '#FF0000';
    if (this.status.status === 'warning') return '#FFAA00';
    return '#32CD32';
  }
}

// 预警卡片
@Component
struct AlertCard {
  @Prop alert: RiskAlert;
  @Prop onTap: () => void;

  build() {
    Column({ space: 6 }) {
      Row() {
        Text(this.getSeverityIcon())
          .fontSize(16);

        Text(this.alert.type)
          .fontSize(13)
          .fontWeight(FontWeight.Bold)
          .fontColor(this.getSeverityColor());

        Text(new Date(this.alert.timestamp).toLocaleTimeString())
          .fontSize(10)
          .fontColor('#8E8E93')
          .layoutWeight(1)
          .textAlign(TextAlign.End);
      }
      .width('100%');

      Text(this.alert.description)
        .fontSize(12)
        .fontColor('#B0B0B0')
        .maxLines(2);
    }
    .width('100%')
    .padding(10)
    .backgroundColor('rgba(255, 99, 71, 0.1)')
    .borderRadius(8)
    .border({ width: 1, color: 'rgba(255, 99, 71, 0.3)' })
    .onClick(() => this.onTap());
  }

  private getSeverityIcon(): string {
    const map: Record<string, string> = {
      critical: '🔴',
      warning: '🟡',
      info: '🔵'
    };
    return map[this.alert.severity] || '⚪';
  }

  private getSeverityColor(): string {
    const map: Record<string, string> = {
      critical: '#FF6347',
      warning: '#FFAA00',
      info: '#4682B4'
    };
    return map[this.alert.severity] || '#808080';
  }
}

// 类型定义
interface PanelConfig {
  position: Position;
  size: { w: number; h: number };
  title: string;
  icon: string;
}

interface PipeInfo {
  id: string;
  type: string;
  diameter: number;
  depth: number;
  material: string;
  startPoint: Vector3;
  endPoint: Vector3;
}

interface PipeNetwork {
  pipes: PipeInfo[];
  nodes: PipeNode[];
}

interface PipeNode {
  id: string;
  position: Vector3;
  connections: string[];
}

interface DeviceStatus {
  online: boolean;
  battery: number;
  lastValue: number;
  status: string;
}

interface WorkOrder {
  id: string;
  type: string;
  description: string;
  location?: Vector3;
  priority: string;
  status: string;
  createdAt: number;
}

interface RiskAlert {
  id: string;
  type: string;
  severity: string;
  description: string;
  location?: Vector3;
  timestamp: number;
}

3.2 沉浸光感地下透视：管网介质可视化

HarmonyOS 6的AmbientLightEngine结合管网运维场景，实现地下深度光效------根据管道埋深和输送介质自动调节AR透视光效，将不可见的地下管网转化为直观的视觉图层。

代码亮点：深度-亮度映射、介质颜色编码、泄漏光效扩散、施工安全警示。

typescript 复制代码 
// PipeLightSystem.ets
// 沉浸光感地下透视系统：管网介质可视化

import { AmbientLightEngine, VirtualLight, LightType } from '@kit.AmbientLight';
import { ARScene } from '@kit.ARKit';
import { sensor } from '@kit.SensorKit';

export class PipeLightSystem {
  private static instance: PipeLightSystem;
  private lightEngine: AmbientLightEngine;
  private pipeLights: VirtualLight[] = [];
  private currentDepth: number = 0;
  private targetDepth: number = 5.0;
  
  // 介质光效配置
  private readonly MEDIUM_LIGHT_CONFIG: Record<string, MediumConfig> = {
    water: {
      baseColor: '#1E90FF',
      glowColor: '#00BFFF',
      flowSpeed: 1.0,
      description: '清水'
    },
    gas: {
      baseColor: '#FF4500',
      glowColor: '#FF6347',
      flowSpeed: 3.0,
      description: '天然气'
    },
    sewage: {
      baseColor: '#8B4513',
      glowColor: '#A0522D',
      flowSpeed: 0.5,
      description: '污水'
    },
    power: {
      baseColor: '#FFD700',
      glowColor: '#FFFF00',
      flowSpeed: 0,
      description: '电力'
    },
    communication: {
      baseColor: '#32CD32',
      glowColor: '#00FF00',
      flowSpeed: 0,
      description: '光纤'
    }
  };

  private constructor() {
    this.lightEngine = new AmbientLightEngine({
      updateInterval: 100,
      hdrSupport: true
    });
    
    this.initPipeLights();
  }

  static getInstance(): PipeLightSystem {
    if (!PipeLightSystem.instance) {
      PipeLightSystem.instance = new PipeLightSystem();
    }
    return PipeLightSystem.instance;
  }

  // 初始化管道光源
  private initPipeLights(): void {
    // 地下环境光
    const undergroundAmbient = VirtualLight.create({
      type: LightType.AMBIENT,
      intensity: 0.2,
      color: '#1A1A2E',
      castShadow: false
    });

    // 管道流动光效
    const flowLight = VirtualLight.create({
      type: LightType.POINT,
      intensity: 0,
      color: '#1E90FF',
      position: { x: 0, y: -2, z: 0 },
      castShadow: false
    });

    // 泄漏扩散光效
    const leakDiffusion = VirtualLight.create({
      type: LightType.POINT,
      intensity: 0,
      color: '#FF0000',
      position: { x: 0, y: -1, z: 0 },
      castShadow: false
    });

    // 施工安全警示光
    const safetyAlert = VirtualLight.create({
      type: LightType.SPOT,
      intensity: 0,
      color: '#FFAA00',
      position: { x: 0, y: 2, z: 0 },
      direction: { x: 0, y: -1, z: 0 },
      spotAngle: 45,
      castShadow: false
    });

    this.pipeLights = [undergroundAmbient, flowLight, leakDiffusion, safetyAlert];
    this.lightEngine.registerLights(this.pipeLights);
  }

  // 设置透视深度
  public setDepth(depth: number): void {
    this.targetDepth = depth;
    this.animateDepthChange();
  }

  // 动画深度变化
  private animateDepthChange(): void {
    const startDepth = this.currentDepth;
    const endDepth = this.targetDepth;
    const duration = 1000; // 1秒
    const startTime = Date.now();

    const animate = () => {
      const elapsed = Date.now() - startTime;
      const progress = Math.min(1, elapsed / duration);
      
      // 缓动函数
      const eased = 1 - Math.pow(1 - progress, 3);
      this.currentDepth = startDepth + (endDepth - startDepth) * eased;
      
      // 更新光效
      this.updateDepthLightEffects();
      
      if (progress < 1) {
        requestAnimationFrame(animate);
      }
    };

    animate();
  }

  // 更新深度光效
  private updateDepthLightEffects(): void {
    const depth = this.currentDepth;
    
    // 1. 地下环境光：越深越暗
    const ambientIntensity = Math.max(0.05, 0.5 - depth / 20);
    this.pipeLights[0].intensity = ambientIntensity;

    // 2. 更新AR管道可见性
    this.updatePipeVisibility(depth);

    // 3. 流动光效
    this.updateFlowEffects();

    this.lightEngine.commitChanges();
  }

  // 更新管道可见性
  private updatePipeVisibility(maxDepth: number): void {
    ARScene.getNodes().forEach(node => {
      if (node.id.startsWith('pipe_')) {
        const pipe = node.userData as PipeInfo;
        if (pipe) {
          // 深度范围内的管道可见
          const visible = pipe.depth <= maxDepth;
          node.visible = visible;
          
          // 根据深度调整透明度
          if (visible) {
            const depthRatio = 1 - pipe.depth / maxDepth;
            node.material.setOpacity(0.3 + depthRatio * 0.5);
          }
        }
      }
    });
  }

  // 更新流动光效
  private updateFlowEffects(): void {
    // 为可见的水管和燃气管添加流动光效
    ARScene.getNodes().forEach(node => {
      if (node.id.startsWith('pipe_')) {
        const pipe = node.userData as PipeInfo;
        if (pipe && (pipe.type === 'water' || pipe.type === 'gas')) {
          const config = this.MEDIUM_LIGHT_CONFIG[pipe.type];
          
          // 创建流动光效
          this.createFlowAnimation(node, config);
        }
      }
    });
  }

  // 创建流动动画
  private createFlowAnimation(pipeNode: ARNode, config: MediumConfig): void {
    // 沿管道方向的流动光效
    const flowParticles = ARNode.createParticleSystem({
      count: 20,
      color: config.glowColor,
      size: 0.02,
      speed: config.flowSpeed,
      life: 2.0
    });
    
    flowParticles.position = pipeNode.position;
    ARScene.addNode(flowParticles);
  }

  // 触发泄漏光效
  public triggerLeakEffect(location: Vector3, medium: string): void {
    const config = this.MEDIUM_LIGHT_CONFIG[medium];
    
    // 泄漏点强光
    this.pipeLights[2].position = location;
    this.pipeLights[2].intensity = 2.0;
    this.pipeLights[2].color = config.glowColor;
    
    // 扩散动画
    let radius = 0;
    const diffusionInterval = setInterval(() => {
      radius += 0.1;
      
      // 创建扩散环
      const ring = ARNode.createRing({
        radius: radius,
        thickness: 0.05,
        color: config.glowColor,
        opacity: Math.max(0, 0.8 - radius / 5)
      });
      ring.position = location;
      ARScene.addNode(ring);
      
      // 3秒后移除
      setTimeout(() => {
        ARScene.removeNode(ring);
      }, 3000);
      
      if (radius > 5) {
        clearInterval(diffusionInterval);
        this.pipeLights[2].intensity = 0;
      }
    }, 200);
  }

  // 施工安全警示
  public triggerSafetyAlert(dangerZone: DangerZone): void {
    this.pipeLights[3].position = {
      x: dangerZone.center.x,
      y: 3,
      z: dangerZone.center.z
    };
    this.pipeLights[3].intensity = 1.5;
    
    // 创建地面警示圈
    const warningCircle = ARNode.createCircle({
      radius: dangerZone.radius,
      color: '#FFAA00',
      opacity: 0.3
    });
    warningCircle.position = {
      x: dangerZone.center.x,
      y: 0.01,
      z: dangerZone.center.z
    };
    ARScene.addNode(warningCircle);

    // 闪烁动画
    let flashCount = 0;
    const flashInterval = setInterval(() => {
      flashCount++;
      this.pipeLights[3].intensity = flashCount % 2 === 0 ? 1.5 : 0.3;
      
      if (flashCount > 20) {
        clearInterval(flashInterval);
        this.pipeLights[3].intensity = 0;
        ARScene.removeNode(warningCircle);
      }
    }, 500);
  }

  // 获取介质配置
  public getMediumConfig(medium: string): MediumConfig {
    return this.MEDIUM_LIGHT_CONFIG[medium] || this.MEDIUM_LIGHT_CONFIG.water;
  }
}

interface MediumConfig {
  baseColor: string;
  glowColor: string;
  flowSpeed: number;
  description: string;
}

interface DangerZone {
  center: Vector3;
  radius: number;
  pipes: string[];
}

3.3 管网智能体集群：运维决策支持

基于HarmonyOS 6的端侧AI能力，构建三个管网运维智能体：病害识别智能体、泄漏预测智能体、路径规划智能体。它们协同工作，为运维人员提供从巡检到抢修的全流程支持。

代码亮点：声学信号病害识别、多传感器泄漏预测、最优维修路径规划、资源调度优化。

typescript 复制代码 
// PipeAgentSystem.ets
// 管网智能体集群：运维决策支持系统

import { MindSporeLite } from '@kit.MindSporeLite';
import { KnowledgeGraph } from '@kit.KnowledgeEngine';

export class PipeAgentSystem {
  private static instance: PipeAgentSystem;
  public defectAgent: DefectAgent;
  public leakAgent: LeakAgent;
  public pathAgent: PathAgent;
  private knowledgeGraph: KnowledgeGraph;

  private constructor() {
    this.initKnowledgeGraph();
    this.initAgents();
  }

  static getInstance(): PipeAgentSystem {
    if (!PipeAgentSystem.instance) {
      PipeAgentSystem.instance = new PipeAgentSystem();
    }
    return PipeAgentSystem.instance;
  }

  // 初始化管网知识图谱
  private async initKnowledgeGraph(): Promise<void> {
    this.knowledgeGraph = await KnowledgeGraph.open('/assets/knowledge/pipe_kg.db');
    
    await this.knowledgeGraph.loadDomain([
      'pipe_materials',      // 管道材料
      'failure_modes',        // 失效模式
      'repair_methods',       // 维修方法
      'safety_regulations',   // 安全规范
      'emergency_procedures'  // 应急程序
    ]);
  }

  // 初始化智能体
  private async initAgents(): Promise<void> {
    this.defectAgent = new DefectAgent(
      await MindSporeLite.loadModel({
        modelPath: '/assets/models/pipe_defect.mindir',
        deviceType: DeviceType.NPU
      }),
      this.knowledgeGraph
    );

    this.leakAgent = new LeakAgent(
      await MindSporeLite.loadModel({
        modelPath: '/assets/models/leak_predict.mindir',
        deviceType: DeviceType.NPU
      }),
      this.knowledgeGraph
    );

    this.pathAgent = new PathAgent(
      await MindSporeLite.loadModel({
        modelPath: '/assets/models/path_plan.mindir',
        deviceType: DeviceType.NPU
      }),
      this.knowledgeGraph
    );
  }

  // 综合运维分析
  public async comprehensiveAnalysis(
    sensorData: Map<string, SensorData>,
    pipeNetwork: PipeNetwork,
    workOrders: WorkOrder[]
  ): Promise<PipeAnalysis> {
    // 并行执行多维度分析
    const [defects, leakRisk, repairPlan] = await Promise.all([
      this.defectAgent.identifyDefects(sensorData),
      this.leakAgent.predictLeaks(sensorData, pipeNetwork),
      this.pathAgent.planRepairs(workOrders, pipeNetwork)
    ]);

    return {
      defects,
      leakRisk,
      repairPlan,
      priority: this.calculatePriority(defects, leakRisk),
      recommendations: this.generateRecommendations(defects, leakRisk, repairPlan)
    };
  }

  // 计算优先级
  private calculatePriority(defects: Defect[], leakRisk: LeakRisk[]): string {
    const criticalDefects = defects.filter(d => d.severity === 'critical').length;
    const highRiskLeaks = leakRisk.filter(r => r.probability > 0.7).length;
    
    if (criticalDefects > 0 || highRiskLeaks > 0) return 'critical';
    if (defects.length > 3 || leakRisk.length > 5) return 'high';
    if (defects.length > 0 || leakRisk.length > 0) return 'medium';
    return 'low';
  }

  // 生成建议
  private generateRecommendations(
    defects: Defect[],
    leakRisk: LeakRisk[],
    repairPlan: RepairPlan
  ): string[] {
    const recommendations: string[] = [];
    
    if (criticalDefects.length > 0) {
      recommendations.push(`发现 ${criticalDefects.length} 处严重缺陷，建议立即处理`);
    }
    
    if (leakRisk.length > 0) {
      const highestRisk = leakRisk.sort((a, b) => b.probability - a.probability)[0];
      recommendations.push(`管道 ${highestRisk.pipeId} 泄漏风险 ${(highestRisk.probability * 100).toFixed(0)}%，建议优先巡检`);
    }
    
    if (repairPlan.estimatedCost > 100000) {
      recommendations.push(`预计维修成本 ${repairPlan.estimatedCost} 元，建议申请专项预算`);
    }
    
    return recommendations;
  }
}

// 病害识别智能体
class DefectAgent {
  constructor(
    private model: MindSporeLite.Model,
    private kg: KnowledgeGraph
  ) {}

  // 识别管道病害
  async identifyDefects(sensorData: Map<string, SensorData>): Promise<Defect[]> {
    const defects: Defect[] = [];
    
    // 声学信号分析
    const acousticData = Array.from(sensorData.values())
      .filter(d => d.type === 'acoustic');
    
    for (const data of acousticData) {
      // 预处理声学信号
      const features = this.extractAcousticFeatures(data);
      
      // 病害分类
      const result = await this.model.infer({
        input: features,
        task: 'defect_classification',
        confidenceThreshold: 0.7
      });

      if (result.defects.length > 0) {
        for (const defect of result.defects) {
          // 查询病害详细信息
          const defectInfo = await this.kg.query(`
            MATCH (d:Defect {type: '${defect.type}'})
            RETURN d.severity, d.causes, d.repairMethod, d.urgency
          `);

          defects.push({
            id: `defect_${Date.now()}_${defect.location}`,
            type: defect.type,
            location: data.location,
            severity: defectInfo[0]?.['d.severity'] || 'medium',
            confidence: defect.confidence,
            description: `${defect.type} at ${data.sensorId}`,
            recommendedAction: defectInfo[0]?.['d.repairMethod'] || 'inspect'
          });
        }
      }
    }

    return defects.sort((a, b) => this.severityValue(b.severity) - this.severityValue(a.severity));
  }

  // 提取声学特征
  private extractAcousticFeatures(data: SensorData): ArrayBuffer {
    // MFCC、频谱质心、过零率等
    return new ArrayBuffer(0); // 示例
  }

  private severityValue(s: string): number {
    const map: Record<string, number> = { critical: 4, high: 3, medium: 2, low: 1 };
    return map[s] || 0;
  }
}

// 泄漏预测智能体
class LeakAgent {
  constructor(
    private model: MindSporeLite.Model,
    private kg: KnowledgeGraph
  ) {}

  // 预测泄漏风险
  async predictLeaks(
    sensorData: Map<string, SensorData>,
    network: PipeNetwork
  ): Promise<LeakRisk[]> {
    const risks: LeakRisk[] = [];
    
    // 多传感器融合分析
    const pipeGroups = this.groupSensorsByPipe(sensorData, network);
    
    for (const [pipeId, sensors] of pipeGroups) {
      // 构建多模态特征
      const features = this.buildMultiModalFeatures(sensors);
      
      // 泄漏概率预测
      const prediction = await this.model.infer({
        input: features,
        task: 'leak_prediction'
      });

      if (prediction.probability > 0.3) {
        // 查询管道历史
        const pipeHistory = await this.kg.query(`
          MATCH (p:Pipe {id: '${pipeId}'})
          RETURN p.age, p.material, p.pressureRating, p.leakHistory
        `);

        risks.push({
          pipeId,
          probability: prediction.probability,
          estimatedLocation: prediction.location,
          timeToFailure: prediction.timeToFailure,
          factors: this.identifyRiskFactors(sensors, pipeHistory[0]),
          recommendedAction: this.getRecommendedAction(prediction.probability)
        });
      }
    }

    return risks.sort((a, b) => b.probability - a.probability);
  }

  // 按管道分组传感器
  private groupSensorsByPipe(
    sensors: Map<string, SensorData>, 
    network: PipeNetwork
  ): Map<string, SensorData[]> {
    const groups = new Map<string, SensorData[]>();
    
    sensors.forEach((data, id) => {
      const pipeId = this.findPipeForSensor(id, network);
      if (pipeId) {
        if (!groups.has(pipeId)) groups.set(pipeId, []);
        groups.get(pipeId)!.push(data);
      }
    });
    
    return groups;
  }

  // 查找传感器所属管道
  private findPipeForSensor(sensorId: string, network: PipeNetwork): string | null {
    // 简化：从传感器ID映射
    return sensorId.split('_')[0];
  }

  // 构建多模态特征
  private buildMultiModalFeatures(sensors: SensorData[]): ArrayBuffer {
    // 压力、流量、温度、声学融合
    return new ArrayBuffer(0); // 示例
  }

  // 识别风险因素
  private identifyRiskFactors(sensors: SensorData[], history: any): string[] {
    const factors: string[] = [];
    
    const pressureData = sensors.find(s => s.type === 'pressure');
    if (pressureData && pressureData.value > pressureData.threshold * 0.9) {
      factors.push('压力接近额定上限');
    }
    
    if (history && history['p.age'] > 30) {
      factors.push('管道超期服役');
    }
    
    if (history && history['p.leakHistory'] > 2) {
      factors.push('历史泄漏次数多');
    }
    
    return factors;
  }

  // 获取建议措施
  private getRecommendedAction(probability: number): string {
    if (probability > 0.8) return '立即停气/停水检修';
    if (probability > 0.5) return '24小时内巡检';
    if (probability > 0.3) return '一周内计划检修';
    return '常规巡检';
  }
}

// 路径规划智能体
class PathAgent {
  constructor(
    private model: MindSporeLite.Model,
    private kg: KnowledgeGraph
  ) {}

  // 规划维修路径
  async planRepairs(
    orders: WorkOrder[],
    network: PipeNetwork
  ): Promise<RepairPlan> {
    // 构建维修任务图
    const taskGraph = this.buildTaskGraph(orders, network);
    
    // 最优路径规划
    const route = await this.optimizeRoute(taskGraph);
    
    // 资源需求计算
    const resources = this.calculateResources(orders);
    
    // 时间估算
    const schedule = this.estimateSchedule(route, resources);

    return {
      route,
      resources,
      schedule,
      estimatedCost: this.estimateCost(resources, route.distance),
      riskMitigation: this.identifyRisks(route, network)
    };
  }

  // 构建任务图
  private buildTaskGraph(orders: WorkOrder[], network: PipeNetwork): TaskGraph {
    // 将工单转换为图节点
    const nodes = orders.map(order => ({
      id: order.id,
      location: order.location,
      priority: this.priorityValue(order.priority),
      estimatedTime: 60 // 分钟
    }));

    // 计算节点间距离
    const edges: TaskEdge[] = [];
    for (let i = 0; i < nodes.length; i++) {
      for (let j = i + 1; j < nodes.length; j++) {
        const distance = this.calculateDistance(nodes[i].location, nodes[j].location);
        edges.push({
          from: nodes[i].id,
          to: nodes[j].id,
          distance,
          time: distance / 30 // 假设30km/h
        });
      }
    }

    return { nodes, edges };
  }

  // 优化路径
  private async optimizeRoute(graph: TaskGraph): Promise<OptimizedRoute> {
    // 使用遗传算法或蚁群算法优化
    const prompt = `优化维修路径：
节点数：${graph.nodes.length}
总距离约束：最小化
优先级约束：紧急工单优先

生成最优访问顺序。`;

    const result = await this.model.infer({
      inputText: prompt,
      maxTokens: 256
    });

    // 解析路径
    const sequence = this.parseRoute(result);
    
    // 计算总距离
    let totalDistance = 0;
    for (let i = 0; i < sequence.length - 1; i++) {
      const edge = graph.edges.find(e => 
        (e.from === sequence[i] && e.to === sequence[i+1]) ||
        (e.to === sequence[i] && e.from === sequence[i+1])
      );
      if (edge) totalDistance += edge.distance;
    }

    return {
      sequence,
      distance: totalDistance,
      estimatedTime: totalDistance / 30 + graph.nodes.length * 1 // 小时
    };
  }

  // 计算资源需求
  private calculateResources(orders: WorkOrder[]): ResourceRequirement {
    const crews = Math.ceil(orders.length / 3); // 每组3个工单
    const vehicles = Math.ceil(crews / 2);
    
    // 查询工具需求
    const tools = new Set<string>();
    orders.forEach(order => {
      if (order.type.includes('gas')) tools.add('gas_detector');
      if (order.type.includes('water')) tools.add('pump');
      tools.add('excavator');
    });

    return {
      crews,
      vehicles,
      tools: Array.from(tools),
      estimatedMaterial: this.estimateMaterial(orders)
    };
  }

  // 估算材料
  private estimateMaterial(orders: WorkOrder[]): MaterialEstimate {
    let pipeLength = 0;
    let joints = 0;
    
    orders.forEach(order => {
      if (order.type.includes('replace')) pipeLength += 10; // 假设10米
      joints += 2;
    });

    return { pipeLength, joints, concrete: pipeLength * 0.5 };
  }

  // 估算成本
  private estimateCost(resources: ResourceRequirement, distance: number): number {
    const crewCost = resources.crews * 8 * 200; // 8小时 * 200元/人
    const vehicleCost = distance * 5; // 5元/公里
    const materialCost = resources.estimatedMaterial.pipeLength * 500; // 500元/米
    
    return crewCost + vehicleCost + materialCost;
  }

  // 识别风险
  private identifyRisks(route: OptimizedRoute, network: PipeNetwork): string[] {
    const risks: string[] = [];
    
    // 检查路径是否经过高风险区域
    route.sequence.forEach(nodeId => {
      const node = network.nodes.find(n => n.id === nodeId);
      if (node && this.isHighRiskArea(node.position)) {
        risks.push(`路径经过高风险区域：${nodeId}`);
      }
    });
    
    return risks;
  }

  // 判断高风险区域
  private isHighRiskArea(position: Vector3): boolean {
    // 简化：学校、医院等敏感区域
    return false;
  }

  private priorityValue(p: string): number {
    const map: Record<string, number> = { critical: 4, high: 3, medium: 2, low: 1 };
    return map[p] || 0;
  }

  private calculateDistance(a?: Vector3, b?: Vector3): number {
    if (!a || !b) return 0;
    return Math.sqrt(
      Math.pow(a.x - b.x, 2) +
      Math.pow(a.y - b.y, 2) +
      Math.pow(a.z - b.z, 2)
    );
  }

  private parseRoute(raw: string): string[] {
    // 解析路径文本
    return [];
  }

  private estimateSchedule(route: OptimizedRoute, resources: ResourceRequirement): Schedule {
    return {
      startTime: Date.now(),
      endTime: Date.now() + route.estimatedTime * 3600000,
      breaks: Math.floor(route.estimatedTime / 4) // 每4小时休息
    };
  }
}

// 类型定义
interface PipeAnalysis {
  defects: Defect[];
  leakRisk: LeakRisk[];
  repairPlan: RepairPlan;
  priority: string;
  recommendations: string[];
}

interface Defect {
  id: string;
  type: string;
  location?: Vector3;
  severity: string;
  confidence: number;
  description: string;
  recommendedAction: string;
}

interface LeakRisk {
  pipeId: string;
  probability: number;
  estimatedLocation?: Vector3;
  timeToFailure?: number;
  factors: string[];
  recommendedAction: string;
}

interface RepairPlan {
  route: OptimizedRoute;
  resources: ResourceRequirement;
  schedule: Schedule;
  estimatedCost: number;
  riskMitigation: string[];
}

interface OptimizedRoute {
  sequence: string[];
  distance: number;
  estimatedTime: number;
}

interface ResourceRequirement {
  crews: number;
  vehicles: number;
  tools: string[];
  estimatedMaterial: MaterialEstimate;
}

interface MaterialEstimate {
  pipeLength: number;
  joints: number;
  concrete: number;
}

interface Schedule {
  startTime: number;
  endTime: number;
  breaks: number;
}

interface TaskGraph {
  nodes: TaskNode[];
  edges: TaskEdge[];
}

interface TaskNode {
  id: string;
  location?: Vector3;
  priority: number;
  estimatedTime: number;
}

interface TaskEdge {
  from: string;
  to: string;
  distance: number;
  time: number;
}

3.4 鸿蒙PC调度中枢：城市级管网态势感知

利用HarmonyOS分布式能力，将管网运维数据实时同步至鸿蒙PC，支持城市级管网态势感知与资源调度。

typescript 复制代码 
// PipePCDashboard.ets
// 鸿蒙PC端城市管网调度中枢

import { DistributedData } from '@kit.DistributedService';
import { Charts, LineChart, MapChart, NetworkGraph } from '@kit.ChartsKit';

@Entry
@Component
struct PipePCDashboard {
  @State cityData: CityPipeData | null = null;
  @State selectedDistrict: string = 'all';
  @State alertLevel: string = 'normal';
  @State activeCrews: CrewInfo[] = [];
  
  private dataSync: DistributedData.SyncHandle;

  aboutToDisappear() {
    this.dataSync.unsubscribe();
  }

  build() {
    Column() {
      // 顶部标题栏
      DashboardHeader({
        title: '🏙️ 城市管网调度中枢',
        city: '北京市',
        totalPipes: this.cityData?.totalPipes || 0,
        activeAlerts: this.cityData?.activeAlerts || 0,
        onlineRate: this.calculateOnlineRate()
      });

      // 主内容区
      Row({ space: 20 }) {
        // 左侧：城市管网总览
        Column({ space: 16 }) {
          CityOverviewMap({
            districts: this.cityData?.districts || [],
            selected: this.selectedDistrict,
            onDistrictSelect: (d: string) => { this.selectedDistrict = d; }
          });

          AlertSummaryPanel({
            alerts: this.cityData?.alerts || [],
            onAlertClick: (alert: RiskAlert) => this.handleCityAlert(alert)
          });
        }
        .width('30%')
        .height('100%');

        // 中间：实时态势与预测
        Column({ space: 16 }) {
          RealTimeSituation({
            flowData: this.cityData?.flowData,
            pressureData: this.cityData?.pressureData,
            onAnomalyDetect: (anomaly: string) => this.showAnomalyDetail(anomaly)
          });

          PredictiveAnalysis({
            leakForecast: this.cityData?.leakForecast,
            maintenanceForecast: this.cityData?.maintenanceForecast
          });
        }
        .width('40%')
        .height('100%');

        // 右侧：资源调度与指挥
        Column({ space: 16 }) {
          CrewDispatchPanel({
            crews: this.activeCrews,
            onDispatch: (crew: string, task: string) => this.dispatchCrew(crew, task)
          });

          ResourceAllocation({
            resources: this.cityData?.resources,
            onReallocate: (resource: string, district: string) => {
              this.reallocateResource(resource, district);
            }
          });

          EmergencyCommand({
            onEmergencyMode: () => this.activateEmergencyMode(),
            onEvacuation: (zone: string) => this.coordinateEvacuation(zone)
          });
        }
        .width('30%')
        .height('100%');
      }
      .width('100%')
      .layoutWeight(1)
      .padding(20);
    }
    .width('100%')
    .height('100%')
    .backgroundColor('#0F1520');
  }

  // 计算在线率
  private calculateOnlineRate(): number {
    if (!this.cityData?.devices) return 0;
    const online = this.cityData.devices.filter(d => d.online).length;
    return (online / this.cityData.devices.length) * 100;
  }

  // 处理城市级预警
  private async handleCityAlert(alert: RiskAlert): Promise<void> {
    // 发送指令到AR端
    DistributedData.sendCommand('pipe_cmd', {
      type: 'city_alert',
      alert
    });
  }

  // 派遣抢修队伍
  private async dispatchCrew(crewId: string, taskId: string): Promise<void> {
    await DistributedData.sendCommand('pipe_cmd', {
      type: 'dispatch_crew',
      crew: crewId,
      task: taskId
    });
  }

  // 重新分配资源
  private async reallocateResource(resource: string, district: string): Promise<void> {
    await DistributedData.sendCommand('pipe_cmd', {
      type: 'reallocate',
      resource,
      district
    });
  }

  // 激活应急模式
  private async activateEmergencyMode(): Promise<void> {
    this.alertLevel = 'emergency';
    await DistributedData.broadcast('pipe_emergency', {
      level: 'emergency',
      timestamp: Date.now()
    });
  }

  // 协调疏散
  private async coordinateEvacuation(zone: string): Promise<void> {
    await DistributedData.broadcast('pipe_evacuation', {
      zone,
      radius: 500, // 米
      timestamp: Date.now()
    });
  }

  private showAnomalyDetail(anomaly: string): void {
    // 显示异常详情
  }
}

// 城市管网总览地图
@Component
struct CityOverviewMap {
  @Prop districts: DistrictInfo[];
  @Prop selected: string;
  @Prop onDistrictSelect: (d: string) => void;

  build() {
    Column({ space: 10 }) {
      Text('城市管网分布')
        .fontSize(16)
        .fontWeight(FontWeight.Bold)
        .fontColor('#4682B4');

      // 简化城市地图
      Grid() {
        ForEach(this.districts, (district: DistrictInfo) => {
          GridItem() {
            DistrictCard({
              district: district,
              isSelected: district.id === this.selected,
              onTap: () => this.onDistrictSelect(district.id)
            });
          }
        });
      }
      .columnsTemplate('1fr 1fr')
      .rowsTemplate('1fr 1fr 1fr')
      .width('100%')
      .height(250);
    }
    .width('100%')
    .padding(16)
    .backgroundColor('rgba(70, 130, 180, 0.05)')
    .borderRadius(12);
  }
}

// 区域卡片
@Component
struct DistrictCard {
  @Prop district: DistrictInfo;
  @Prop isSelected: boolean;
  @Prop onTap: () => void;

  build() {
    Column({ space: 4 }) {
      Text(this.district.name)
        .fontSize(13)
        .fontWeight(FontWeight.Bold)
        .fontColor(this.isSelected ? '#4682B4' : '#FFFFFF');

      Text(`${this.district.pipeCount} 管道`)
        .fontSize(11)
        .fontColor('#8E8E93');

      Text(`${this.district.alertCount} 预警`)
        .fontSize(11)
        .fontColor(this.district.alertCount > 0 ? '#FF6347' : '#32CD32');
    }
    .width('100%')
    .height('100%')
    .padding(8)
    .backgroundColor(this.isSelected ? 'rgba(70, 130, 180, 0.2)' : 'rgba(255,255,255,0.03)')
    .borderRadius(8)
    .onClick(() => this.onTap());
  }
}

// 类型定义
interface CityPipeData {
  totalPipes: number;
  activeAlerts: number;
  districts: DistrictInfo[];
  alerts: RiskAlert[];
  devices: DeviceInfo[];
  flowData: any;
  pressureData: any;
  leakForecast: any;
  maintenanceForecast: any;
  resources: any;
}

interface DistrictInfo {
  id: string;
  name: string;
  pipeCount: number;
  alertCount: number;
}

interface CrewInfo {
  id: string;
  name: string;
  status: string;
  location: Vector3;
  currentTask?: string;
}

interface DeviceInfo {
  id: string;
  online: boolean;
  type: string;
  district: string;
}

四、关键特性深度解析

4.1 地面设施避让的AR空间感知

HarmonyOS 6的FloatNavigation在管网运维场景中实现了地面设施级空间感知：

  1. 井盖避让：面板靠近AR中的井盖时自动透明化，不遮挡运维人员观察
  2. 消防栓保护：消防栓周围不放置面板，确保紧急情况下可快速定位
  3. 配电箱避让：电力设施周围面板自动收缩，防止误触
  4. 施工围挡响应：检测到施工区域时，面板自动调整位置避开围挡

4.2 地下光感的深度直觉

传统管网图纸难以建立深度直觉，我们的系统实现了深度-光效映射：

  • 浅层管道（<2m）：高亮度、高饱和度，清晰可辨
  • 中层管道（2-5m）：中等亮度，半透明效果
  • 深层管道（>5m）：低亮度、雾化效果，提示深埋风险
  • 介质颜色编码：供水蓝色、燃气红色、污水棕色、电力黄色、通信绿色

4.3 多智能体的运维闭环

三个智能体形成完整的识别-预测-规划闭环：

  • 病害智能体：通过声学信号识别管道腐蚀、裂缝、错位等病害
  • 泄漏智能体：融合压力、流量、温度、声学多传感器数据预测泄漏风险
  • 路径智能体：综合工单优先级、地理位置、资源可用性规划最优维修路径

智能体间通过管网知识图谱共享材料特性与失效模式数据，确保运维决策的科学性与安全性。

五、应用场景与生态价值

5.1 日常巡检

运维人员佩戴AR眼镜沿街道巡检，实时查看地下管网状态，智能体自动标记异常点并生成工单。

5.2 应急抢修

燃气泄漏等紧急情况下，AR系统快速定位泄漏点，智能体规划安全抢修路径，协调周边资源。

5.3 施工监护

道路施工前，AR系统展示地下管网分布，防止施工破坏，智能体评估施工风险并提供保护建议。

六、总结与展望

本文完整展示了基于HarmonyOS 6（API 23）开发AR城市地下管网运维中心的技术路径。通过悬浮导航 实现AR地表上的地面设施避让运维面板，通过沉浸光感 达成地下深度与介质类型的直观可视化，通过管网智能体集群 实现从病害识别到路径规划的完整运维闭环，通过鸿蒙PC联动支持城市级管网态势感知与资源调度。

随着HarmonyOS生态的持续演进，我们期待看到：

  1. 数字孪生管网：将真实城市管网实时映射到AR空间，实现虚实完全同步
  2. 自主巡检机器人：智能体直接控制管道机器人执行内部检测，AR系统实时显示内窥影像
  3. 市民参与共治：基于鸿蒙分布式能力，市民通过AR应用上报管网异常，形成群防群治

城市地下管网是城市的生命线，HarmonyOS 6正为智慧城市基础设施提供强大的数字化底座。期待更多开发者加入鸿蒙生态，共同探索AR+AI在城市治理领域的创新应用。

转载自：https://blog.csdn.net/u014727709/article/details/161557366

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