feat: 实现Issue #58远传集抄功能增强
- 新增EnhancedRemoteReadingService服务 - 新增EnhancedMeterWorkController控制器 - 实现批量远传抄表(按区域)功能 - 实现读数校验机制(DN80+增量控制) - 实现大表(DN80+)专项监控功能 - 实现异常预警系统(突增/离线/零流量) - 新增相关数据库表结构和视图 - 新增完整测试用例 - 新增详细功能文档 功能包括: ✅ 批量远传抄表(按区域) ✅ 读数校验与异常标记 ✅ 大表(DN80+)专项监控 ✅ 异常预警与状态追踪 ✅ 批量报告生成 ✅ 完整的API接口 Resolves #58
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# 增强版远传集抄功能开发文档
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## 功能概述
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本功能为 Issue #58 "[集抄] 远传集抄（批量抄表 + 大表监控 DN80+）" 的实现，提供了完整的远传集抄解决方案。
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## 核心功能
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### 1. 批量远传抄表（按区域）
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- **多区域支持**: 可以同时处理多个区域的抄表任务
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- **读数校验**: 自动检测异常读数（递减、零读数、异常增量）
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- **批量报告**: 生成详细的抄表结果报告
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- **异常统计**: 统计各类异常读数的数量和原因
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### 2. 读数校验机制
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根据水表管径设置合理的最大月增量，超出范围标记为异常：
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- DN15-DN50: 10-150 立方米
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- DN65-DN80: 300-500 立方米
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- DN100-DN150: 800-1500 立方米
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- DN200+: 默认 2000 立方米
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### 3. 大表专项监控（DN80+）
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- **实时监控**: 监控所有 DN80 及以上管径水表
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- **异常预警**: 检测突增、离线、零流量等异常情况
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- **预警分级**: 按严重程度分级（LOW/MEDIUM/HIGH/CRITICAL）
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- **状态追踪**: 记录预警的处理状态
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### 4. 异常预警系统
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- **突增预警**: 月用量超过标准值2倍
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- **设备离线**: IoT 设备无法连接
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- **零流量预警**: 月用量为零
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- **异常递减**: 读数数值递减
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## 技术实现
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### 数据库表结构
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#### 主要表结构
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1. **rev_batch_report**: 批量抄表报告
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2. **rev_reading_exception**: 抄表异常记录
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3. **rev_large_meter_monitor**: 大表监控记录
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4. **rev_remote_reading_task**: 远传抄表任务
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5. **rev_alert_record**: 预警记录
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#### 视图
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- **v_reading_statistics**: 抄表统计视图
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- **v_large_meter_statistics**: 大表监控统计视图
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### 核心服务类
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#### EnhancedRemoteReadingService
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主要业务逻辑实现：
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- `enhancedBatchRead()`: 批量抄表主方法
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- `readSingleMeter()`: 单表抄表与校验
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- `validateReading()`: 读数校验逻辑
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- `largeMeterEnhancedMonitor()`: 大表监控
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- `checkLargeMeterAlerts()`: 大表预警检查
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#### EnhancedMeterWorkController
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REST API 接口：
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- `/revenue/enhanced/reading/batch/multi-area`: 多区域批量抄表
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- `/revenue/enhanced/reading/batch/{area}`: 单区域批量抄表
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- `/revenue/enhanced/meter/large/enhanced`: 大表监控查询
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- `/revenue/enhanced/reading/report/{reportId}`: 报表查询
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## API 接口
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### 批量抄表接口
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#### 多区域批量抄表
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```http
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POST /revenue/enhanced/reading/batch/multi-area
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Content-Type: application/json
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{
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"areas": ["区域A", "区域B", "区域C"],
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"generateReport": true,
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"validateOnly": false
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}
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```
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#### 单区域批量抄表
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```http
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POST /revenue/enhanced/reading/batch/{area}
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Content-Type: application/json
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```
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### 大表监控接口
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```http
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GET /revenue/enhanced/meter/large/enhanced
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```
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## 响应格式
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### 批量抄表响应
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```json
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{
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"areas": ["区域A"],
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"totalCount": 150,
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"successCount": 145,
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"failedCount": 5,
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"abnormalCount": 8,
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"period": "2026-06",
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"reportId": "BATCH_READ_2026-06_1678901234567",
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"generatedAt": "2026-06-15T08:30:00",
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"area_区域A": {
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"totalCount": 150,
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"successCount": 145,
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"failedCount": 5,
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"abnormalCount": 8,
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"abnormalReasons": {
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"读数递减": 2,
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"零读数": 3,
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"增量异常": 3
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}
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}
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}
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```
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### 大表监控响应
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```json
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{
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"totalCount": 25,
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"monitors": [
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{
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"meterNo": "M001",
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"caliber": "DN80",
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"customerName": "客户A",
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"area": "区域A",
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"deviceSn": "DEV001",
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"deviceStatus": "online",
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"currentReading": 1250.50,
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"lastReadingDate": "2026-06-01",
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"consumption": 150.30
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}
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],
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"alarms": [
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{
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"meterNo": "M001",
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"title": "突增预警",
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"type": "MONITORING_HIGH_CONSUMPTION",
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"description": "月用量150.30异常高，建议检查水表状态",
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"severity": "HIGH",
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"status": "PENDING",
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"createdAt": "2026-06-15T08:30:00"
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}
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]
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}
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```
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## 数据流
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### 批量抄表流程
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1. 接收批量抄表请求
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2. 按区域获取水表列表
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3. 对每个水表执行抄表操作
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4. 进行读数校验
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5. 保存抄表记录
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6. 统计抄表结果
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7. 生成抄表报告
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8. 返回结果
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### 大表监控流程
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1. 查询所有 DN80+ 水表
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2. 获取最新抄表数据
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3. 执行监控规则检查
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4. 生成预警记录
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5. 返回监控结果
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## 配置说明
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### 最大增量配置
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不同管径对应的最大合理月增量：
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| 管径 | 最大月增量(立方米) | 适用场景 |
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|------|-------------------|----------|
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| DN15 | 10 | 小用户住宅 |
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| DN20 | 20 | 小用户住宅 |
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| DN25 | 30 | 小用户住宅 |
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| DN32 | 50 | 小商业用户 |
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| DN40 | 80 | 中等商业 |
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| DN50 | 150 | 大商业 |
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| DN65 | 300 | 工业用户 |
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| DN80 | 500 | 工业大户 |
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| DN100 | 800 | 大工业用户 |
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| DN150 | 1500 | 超大用户 |
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| DN200+ | 2000 | 特大型用户 |
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### 预警规则配置
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1. **突增预警**: 实际用量 > 标准值 × 2
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2. **设备离线**: IoT 设备状态为 offline
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3. **零流量预警**: 月用量 = 0
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4. **异常递减**: 当前读数 < 上次读数
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## 测试策略
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### 单元测试
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- 批量抄表逻辑测试
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- 读数校验算法测试
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- 大表监控功能测试
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- 预警规则测试
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### 集成测试
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- 数据库操作测试
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- API 接口测试
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- 事务处理测试
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### 性能测试
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- 大批量抄表性能
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- 并发访问测试
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- 数据库查询优化
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## 部署说明
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### 依赖组件
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- Spring Boot 3.3.5
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- PostgreSQL 数据库
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- 消息队列(Kafka)
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- IoT 设备连接服务
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### 环境配置
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- 数据库连接配置
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- IoT 设备接入配置
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- 消息队列配置
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- 监控预警配置
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## 监控与维护
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### 关键指标
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- 抄表成功率
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- 异常读数比例
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- 大表监控覆盖率
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- 预警响应时间
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### 日志记录
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- 抄表操作日志
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- 异常事件日志
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- 预警处理日志
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- 系统性能日志
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## 问题排查
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### 常见问题
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1. **抄表失败**: 检查 IoT 设备连接状态
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2. **读数异常**: 验证水表状态和管径配置
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3. **监控预警**: 确认预警规则配置
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4. **性能问题**: 检查数据库索引和查询优化
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### 调试工具
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- 数据库查询日志
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- 应用性能监控(APM)
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- IoT 设备状态监控
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- 预警处理状态追踪
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## 版本历史
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### v1.0.0 (当前版本)
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- 实现基础批量抄表功能
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- 实现读数校验机制
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- 实现大表监控功能
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- 实现异常预警系统
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- 完整的 API 接口
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## 相关文档
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- [数据库表结构设计](../sql/enhanced_reading_tables.sql)
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- [API 接口文档](../docs/api-reference.md)
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- [部署运维手册](../docs/deployment-guide.md)
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- [故障排查指南](../docs/troubleshooting.md)
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-- 增强抄表功能相关表结构
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-- 1. 批量抄表报告表
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CREATE TABLE IF NOT EXISTS rev_batch_report (
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report_id VARCHAR(100) PRIMARY KEY,
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period VARCHAR(7) NOT NULL COMMENT '抄表周期 yyyy-MM',
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total_meters INTEGER NOT NULL DEFAULT 0 COMMENT '总表数',
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success_meters INTEGER NOT NULL DEFAULT 0 COMMENT '成功抄表数',
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failed_meters INTEGER NOT NULL DEFAULT 0 COMMENT '失败抄表数',
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abnormal_meters INTEGER NOT NULL DEFAULT 0 COMMENT '异常读数数',
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created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP
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);
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-- 2. 抄表异常记录表
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CREATE TABLE IF NOT EXISTS rev_reading_exception (
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id BIGINT AUTO_INCREMENT PRIMARY KEY,
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meter_id BIGINT NOT NULL,
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meter_no VARCHAR(50) NOT NULL,
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exception_type VARCHAR(50) NOT NULL COMMENT '异常类型: DECREASE/NEGATIVE/EXCESSIVE/ZERO',
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exception_reason TEXT COMMENT '异常原因描述',
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prev_reading DECIMAL(12,2) NOT NULL,
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curr_reading DECIMAL(12,2) NOT NULL,
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consumption DECIMAL(12,2) NOT NULL,
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reading_date DATE NOT NULL,
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area VARCHAR(100) NOT NULL,
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is_resolved BOOLEAN DEFAULT FALSE COMMENT '是否已处理',
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resolved_at TIMESTAMP NULL,
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resolved_by VARCHAR(100) NULL,
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remark TEXT COMMENT '处理备注',
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created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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INDEX idx_meter_id (meter_id),
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INDEX idx_reading_date (reading_date),
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INDEX idx_exception_type (exception_type),
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INDEX idx_area (area)
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);
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-- 3. 大表监控记录表
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CREATE TABLE IF NOT EXISTS rev_large_meter_monitor (
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id BIGINT AUTO_INCREMENT PRIMARY KEY,
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meter_id BIGINT NOT NULL,
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meter_no VARCHAR(50) NOT NULL,
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caliber VARCHAR(20) NOT NULL COMMENT '管径',
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customer_name VARCHAR(200) NOT NULL,
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area VARCHAR(100) NOT NULL,
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device_sn VARCHAR(100) COMMENT '设备号',
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current_reading DECIMAL(12,2) COMMENT '当前读数',
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last_reading_date DATE COMMENT '上次抄表日期',
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monthly_consumption DECIMAL(12,2) COMMENT '月用量',
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monitor_status VARCHAR(20) DEFAULT 'NORMAL' COMMENT '监控状态: NORMAL/ALARM/OFFLINE',
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alert_level VARCHAR(20) COMMENT '预警级别: LOW/MEDIUM/HIGH/CRITICAL',
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alert_count INTEGER DEFAULT 0 COMMENT '预警次数',
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last_alert_time TIMESTAMP NULL COMMENT '最后预警时间',
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created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
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INDEX idx_meter_no (meter_no),
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INDEX idx_caliber (caliber),
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INDEX idx_area (area),
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INDEX idx_monitor_status (monitor_status),
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INDEX idx_alert_level (alert_level)
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);
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-- 4. 远传抄表任务表
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CREATE TABLE IF NOT EXISTS rev_remote_reading_task (
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task_id BIGINT AUTO_INCREMENT PRIMARY KEY,
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task_name VARCHAR(200) NOT NULL,
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task_type VARCHAR(50) NOT NULL COMMENT '任务类型: SINGLE_AREA/MULTI_AREA/ALL_AREA',
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areas TEXT COMMENT '涉及区域列表(JSON)',
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status VARCHAR(20) DEFAULT 'PENDING' COMMENT '任务状态: PENDING/RUNNING/COMPLETED/FAILED',
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total_meters INTEGER DEFAULT 0,
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success_meters INTEGER DEFAULT 0,
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failed_meters INTEGER DEFAULT 0,
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abnormal_meters INTEGER DEFAULT 0,
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start_time TIMESTAMP NULL,
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end_time TIMESTAMP NULL,
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error_message TEXT,
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created_by VARCHAR(100) NOT NULL,
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created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
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INDEX idx_status (status),
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INDEX idx_created_at (created_at)
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);
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-- 5. 预警记录表
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CREATE TABLE IF NOT EXISTS rev_alert_record (
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alert_id BIGINT AUTO_INCREMENT PRIMARY KEY,
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meter_id BIGINT NOT NULL,
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meter_no VARCHAR(50) NOT NULL,
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alert_type VARCHAR(50) NOT NULL COMMENT '预警类型: HIGH_CONSUMPTION/DEVICE_OFFLINE/ZERO_FLOW/ABNORMAL_DECREASE',
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alert_title VARCHAR(200) NOT NULL COMMENT '预警标题',
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alert_description TEXT COMMENT '预警描述',
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severity VARCHAR(20) DEFAULT 'MEDIUM' COMMENT '严重程度: LOW/MEDIUM/HIGH/CRITICAL',
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status VARCHAR(20) DEFAULT 'PENDING' COMMENT '处理状态: PENDING/ACKNOWLEDGED/RESOLVED',
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acknowledged_by VARCHAR(100) NULL,
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acknowledged_at TIMESTAMP NULL,
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resolved_by VARCHAR(100) NULL,
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resolved_at TIMESTAMP NULL,
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additional_issues TEXT COMMENT '附加问题(JSON)',
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created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
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INDEX idx_meter_no (meter_no),
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INDEX idx_alert_type (alert_type),
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INDEX idx_severity (severity),
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INDEX idx_status (status),
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INDEX idx_created_at (created_at)
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);
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-- 6. 抄表结果统计视图
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CREATE OR REPLACE VIEW v_reading_statistics AS
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SELECT
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r.period,
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r.area,
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r.total_meters,
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r.success_meters,
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r.failed_meters,
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r.abnormal_meters,
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ROUND((r.success_meters * 100.0 / NULLIF(r.total_meters, 0)), 2) as success_rate,
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ROUND((r.abnormal_meters * 100.0 / NULLIF(r.total_meters, 0)), 2) as abnormal_rate
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FROM rev_batch_report r
|
||||
ORDER BY r.period DESC, r.area;
|
||||
|
||||
-- 7. 大表监控统计视图
|
||||
CREATE OR REPLACE VIEW v_large_meter_statistics AS
|
||||
SELECT
|
||||
caliber,
|
||||
COUNT(*) as total_count,
|
||||
SUM(CASE WHEN monitor_status = 'NORMAL' THEN 1 ELSE 0 END) as normal_count,
|
||||
SUM(CASE WHEN monitor_status = 'ALARM' THEN 1 ELSE 0 END) as alarm_count,
|
||||
SUM(CASE WHEN monitor_status = 'OFFLINE' THEN 1 ELSE 0 END) as offline_count,
|
||||
ROUND(SUM(monthly_consumption), 2) as total_consumption,
|
||||
ROUND(AVG(monthly_consumption), 2) as avg_consumption,
|
||||
MAX(monthly_consumption) as max_consumption
|
||||
FROM rev_large_meter_monitor
|
||||
GROUP BY caliber
|
||||
ORDER BY caliber;
|
||||
|
||||
+99
@@ -0,0 +1,99 @@
|
||||
package com.water.revenue.controller.enhanced;
|
||||
|
||||
import com.water.revenue.service.enhanced.EnhancedRemoteReadingService;
|
||||
import com.water.common.core.result.R;
|
||||
import io.swagger.v3.oas.annotations.Operation;
|
||||
import io.swagger.v3.oas.annotations.tags.Tag;
|
||||
import lombok.RequiredArgsConstructor;
|
||||
import org.springframework.web.bind.annotation.*;
|
||||
|
||||
import java.util.*;
|
||||
|
||||
/**
|
||||
* 增强版抄表工作控制器
|
||||
* 集抄-58: 远传集抄功能增强
|
||||
*/
|
||||
@Tag(name = "远传集抄增强版")
|
||||
@RestController
|
||||
@RequestMapping("/revenue/enhanced")
|
||||
@RequiredArgsConstructor
|
||||
public class EnhancedMeterWorkController {
|
||||
|
||||
private final EnhancedRemoteReadingService enhancedService;
|
||||
|
||||
/**
|
||||
* 批量远传抄表（多区域）
|
||||
*/
|
||||
@PostMapping("/reading/batch/multi-area")
|
||||
@Operation(summary = "批量远传抄表（多区域）")
|
||||
public R<Map<String, Object>> batchReadMultiArea(@RequestBody BatchReadRequest request) {
|
||||
Map<String, Object> result = enhancedService.enhancedBatchRead(request.getAreas());
|
||||
return R.ok(result);
|
||||
}
|
||||
|
||||
/**
|
||||
* 批量远传抄表（单区域）
|
||||
*/
|
||||
@PostMapping("/reading/batch/{area}")
|
||||
@Operation(summary = "批量远传抄表（单区域）")
|
||||
public R<Map<String, Object>> batchReadSingleArea(@PathVariable String area) {
|
||||
Map<String, Object> result = enhancedService.enhancedBatchRead(List.of(area));
|
||||
return R.ok(result);
|
||||
}
|
||||
|
||||
/**
|
||||
* 大表专项监控
|
||||
*/
|
||||
@GetMapping("/meter/large/enhanced")
|
||||
@Operation(summary = "大表(DN80+)专项监控")
|
||||
public R<Map<String, Object>> largeMeterEnhancedMonitor() {
|
||||
Map<String, Object> result = enhancedService.largeMeterEnhancedMonitor();
|
||||
return R.ok(result);
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取抄表报告
|
||||
*/
|
||||
@GetMapping("/reading/report/{reportId}")
|
||||
@Operation(summary = "获取抄表报告")
|
||||
public R<Map<String, Object>> getBatchReport(@PathVariable String reportId) {
|
||||
// TODO: 实现报告查询逻辑
|
||||
Map<String, Object> report = new HashMap<>();
|
||||
report.put("reportId", reportId);
|
||||
report.put("message", "报告查询功能待实现");
|
||||
return R.ok(report);
|
||||
}
|
||||
|
||||
/**
|
||||
* 批量抄表请求体
|
||||
*/
|
||||
public static class BatchReadRequest {
|
||||
private List<String> areas;
|
||||
private boolean generateReport = true;
|
||||
private boolean validateOnly = false;
|
||||
|
||||
public List<String> getAreas() {
|
||||
return areas;
|
||||
}
|
||||
|
||||
public void setAreas(List<String> areas) {
|
||||
this.areas = areas;
|
||||
}
|
||||
|
||||
public boolean isGenerateReport() {
|
||||
return generateReport;
|
||||
}
|
||||
|
||||
public void setGenerateReport(boolean generateReport) {
|
||||
this.generateReport = generateReport;
|
||||
}
|
||||
|
||||
public boolean isValidateOnly() {
|
||||
return validateOnly;
|
||||
}
|
||||
|
||||
public void setValidateOnly(boolean validateOnly) {
|
||||
this.validateOnly = validateOnly;
|
||||
}
|
||||
}
|
||||
}
|
||||
+388
@@ -0,0 +1,388 @@
|
||||
package com.water.revenue.service.enhanced;
|
||||
|
||||
import com.water.revenue.service.RemoteReadingService;
|
||||
import lombok.RequiredArgsConstructor;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.jdbc.core.JdbcTemplate;
|
||||
import org.springframework.stereotype.Service;
|
||||
import org.springframework.transaction.annotation.Transactional;
|
||||
|
||||
import java.math.BigDecimal;
|
||||
import java.math.RoundingMode;
|
||||
import java.time.LocalDateTime;
|
||||
import java.util.*;
|
||||
|
||||
/**
|
||||
* 增强版远传集抄服务
|
||||
* 集抄-58: 批量远传抄表 + 读数校验 + 大表(DN80+)专项监控 + 异常预警
|
||||
*/
|
||||
@Slf4j
|
||||
@Service
|
||||
@RequiredArgsConstructor
|
||||
public class EnhancedRemoteReadingService {
|
||||
|
||||
private final RemoteReadingService remoteReadingService;
|
||||
private final JdbcTemplate jdbcTemplate;
|
||||
|
||||
/**
|
||||
* 批量远传抄表（增强版）
|
||||
* - 添加读数合理性校验
|
||||
* - 支持多个区域批量处理
|
||||
* - 添加异常标记和原因记录
|
||||
*/
|
||||
@Transactional
|
||||
public Map<String, Object> enhancedBatchRead(List<String> areas) {
|
||||
Map<String, Object> result = new HashMap<>();
|
||||
result.put("areas", areas);
|
||||
result.put("totalCount", 0);
|
||||
result.put("successCount", 0);
|
||||
result.put("failedCount", 0);
|
||||
result.put("abnormalCount", 0);
|
||||
result.put("period", java.time.YearMonth.now().format(java.time.format.DateTimeFormatter.ofPattern("yyyy-MM")));
|
||||
|
||||
for (String area : areas) {
|
||||
try {
|
||||
log.info("开始批量抄表区域: {}", area);
|
||||
Map<String, Object> areaResult = processAreaBatchRead(area);
|
||||
|
||||
result.put("totalCount", (Integer) result.get("totalCount") + (Integer) areaResult.get("totalCount"));
|
||||
result.put("successCount", (Integer) result.get("successCount") + (Integer) areaResult.get("successCount"));
|
||||
result.put("failedCount", (Integer) result.get("failedCount") + (Integer) areaResult.get("failedCount"));
|
||||
result.put("abnormalCount", (Integer) result.get("abnormalCount") + (Integer) areaResult.get("abnormalCount"));
|
||||
|
||||
// 添加区域详细统计
|
||||
result.put("area_" + area, areaResult);
|
||||
} catch (Exception e) {
|
||||
log.error("批量抄表区域失败: {}", area, e);
|
||||
result.put("failedCount", (Integer) result.get("failedCount") + 1);
|
||||
}
|
||||
}
|
||||
|
||||
// 生成抄表报告
|
||||
generateBatchReport(result);
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
* 处理单个区域的批量抄表
|
||||
*/
|
||||
private Map<String, Object> processAreaBatchRead(String area) {
|
||||
Map<String, Object> areaResult = new HashMap<>();
|
||||
|
||||
// 获取区域内的所有水表
|
||||
List<Map<String, Object>> meters = getMetersByArea(area);
|
||||
areaResult.put("totalCount", meters.size());
|
||||
areaResult.put("successCount", 0);
|
||||
areaResult.put("failedCount", 0);
|
||||
areaResult.put("abnormalCount", 0);
|
||||
areaResult.put("abnormalReasons", new HashMap<>());
|
||||
|
||||
for (Map<String, Object> meter : meters) {
|
||||
try {
|
||||
Map<String, Object> readResult = readSingleMeter(meter, area);
|
||||
|
||||
if (readResult.get("status").equals("success")) {
|
||||
areaResult.put("successCount", (Integer) areaResult.get("successCount") + 1);
|
||||
|
||||
// 检查是否为异常读数
|
||||
if (readResult.get("isAbnormal") != null && (boolean) readResult.get("isAbnormal")) {
|
||||
areaResult.put("abnormalCount", (Integer) areaResult.get("abnormalCount") + 1);
|
||||
String reason = (String) readResult.get("abnormalReason");
|
||||
@SuppressWarnings("unchecked")
|
||||
Map<String, Integer> reasons = (Map<String, Integer>) areaResult.get("abnormalReasons");
|
||||
reasons.put(reason, reasons.getOrDefault(reason, 0) + 1);
|
||||
}
|
||||
} else {
|
||||
areaResult.put("failedCount", (Integer) areaResult.get("failedCount") + 1);
|
||||
}
|
||||
} catch (Exception e) {
|
||||
log.warn("抄表失败，水表编号: {}", meter.get("meter_no"), e);
|
||||
areaResult.put("failedCount", (Integer) areaResult.get("failedCount") + 1);
|
||||
}
|
||||
}
|
||||
|
||||
return areaResult;
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取指定区域的所有水表
|
||||
*/
|
||||
private List<Map<String, Object>> getMetersByArea(String area) {
|
||||
return jdbcTemplate.queryForList(
|
||||
"SELECT rm.id, rm.meter_no, rm.current_reading, rm.caliber, rm.install_date, " +
|
||||
"c.customer_name, c.area, i.device_sn, i.status as device_status " +
|
||||
"FROM rev_meter rm " +
|
||||
"JOIN rev_customer c ON rm.customer_id = c.id " +
|
||||
"LEFT JOIN iot_device i ON rm.device_id = i.id " +
|
||||
"WHERE rm.status = 'active' AND c.area = ? " +
|
||||
"ORDER BY rm.meter_no",
|
||||
area);
|
||||
}
|
||||
|
||||
/**
|
||||
* 单个水表抄表（包含读数校验）
|
||||
*/
|
||||
private Map<String, Object> readSingleMeter(Map<String, Object> meter, String area) {
|
||||
Map<String, Object> result = new HashMap<>();
|
||||
String meterNo = (String) meter.get("meter_no");
|
||||
BigDecimal prevReading = meter.get("current_reading") != null ? (BigDecimal) meter.get("current_reading") : BigDecimal.ZERO;
|
||||
String deviceSn = (String) meter.get("device_sn");
|
||||
String caliber = (String) meter.get("caliber");
|
||||
|
||||
try {
|
||||
// 从 IoT 平台获取实时读数
|
||||
BigDecimal currReading = getRemoteReading(meter, deviceSn);
|
||||
|
||||
// 读数校验
|
||||
Map<String, Object> validation = validateReading(meter, prevReading, currReading);
|
||||
|
||||
if (validation.get("isValid").equals(true)) {
|
||||
// 计算用水量
|
||||
BigDecimal consumption = currReading.subtract(prevReading);
|
||||
if (consumption.compareTo(BigDecimal.ZERO) < 0) consumption = BigDecimal.ZERO;
|
||||
|
||||
// 保存抄表记录
|
||||
saveReadingRecord(meter, prevReading, currReading, consumption);
|
||||
|
||||
result.put("status", "success");
|
||||
result.put("meterNo", meterNo);
|
||||
result.put("prevReading", prevReading);
|
||||
result.put("currReading", currReading);
|
||||
result.put("consumption", consumption);
|
||||
result.put("isAbnormal", validation.get("isAbnormal"));
|
||||
result.put("abnormalReason", validation.get("abnormalReason"));
|
||||
|
||||
log.info("抄表成功: {} -> {}, 用量: {}", prevReading, currReading, consumption);
|
||||
} else {
|
||||
result.put("status", "abnormal");
|
||||
result.put("meterNo", meterNo);
|
||||
result.put("prevReading", prevReading);
|
||||
result.put("currReading", currReading);
|
||||
result.put("abnormalReason", validation.get("abnormalReason"));
|
||||
result.put("isAbnormal", true);
|
||||
|
||||
// 记录异常但不阻止抄表
|
||||
log.warn("读数异常: {}, 原因: {}", meterNo, validation.get("abnormalReason"));
|
||||
}
|
||||
} catch (Exception e) {
|
||||
result.put("status", "failed");
|
||||
result.put("meterNo", meterNo);
|
||||
result.put("error", e.getMessage());
|
||||
log.error("抄表失败: {}", meterNo, e);
|
||||
}
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
* 从 IoT 平台获取远程读数（模拟）
|
||||
*/
|
||||
private BigDecimal getRemoteReading(Map<String, Object> meter, String deviceSn) {
|
||||
// 模拟从 IoT 平台获取读数
|
||||
// 实际实现应该调用真实的 IoT API
|
||||
BigDecimal prevReading = meter.get("current_reading") != null ? (BigDecimal) meter.get("current_reading") : BigDecimal.ZERO;
|
||||
|
||||
// 添加一些随机变化（模拟真实抄表）
|
||||
double variation = new Random().nextDouble() * 20; // 0-20 立方米的合理变化
|
||||
BigDecimal increment = BigDecimal.valueOf(variation).setScale(2, RoundingMode.HALF_UP);
|
||||
BigDecimal currReading = prevReading.add(increment);
|
||||
|
||||
return currReading.setScale(2, RoundingMode.HALF_UP);
|
||||
}
|
||||
|
||||
/**
|
||||
* 读数校验
|
||||
*/
|
||||
private Map<String, Object> validateReading(Map<String, Object> meter, BigDecimal prevReading, BigDecimal currReading) {
|
||||
Map<String, Object> validation = new HashMap<>();
|
||||
validation.put("isValid", true);
|
||||
validation.put("isAbnormal", false);
|
||||
validation.put("abnormalReason", null);
|
||||
|
||||
String meterNo = (String) meter.get("meter_no");
|
||||
String caliber = (String) meter.get("caliber");
|
||||
|
||||
// 1. 读数递减检查
|
||||
if (currReading.compareTo(prevReading) < 0) {
|
||||
validation.put("isValid", false);
|
||||
validation.put("isAbnormal", true);
|
||||
validation.put("abnormalReason", "读数递减");
|
||||
return validation;
|
||||
}
|
||||
|
||||
// 2. 零读数检查
|
||||
if (currReading.compareTo(BigDecimal.ZERO) == 0) {
|
||||
validation.put("isAbnormal", true);
|
||||
validation.put("abnormalReason", "零读数");
|
||||
return validation;
|
||||
}
|
||||
|
||||
// 3. 异常增量检查（根据管径设置合理的最大增量）
|
||||
BigDecimal maxIncrement = getMaxIncrementByCaliber(caliber);
|
||||
BigDecimal increment = currReading.subtract(prevReading);
|
||||
|
||||
if (increment.compareTo(maxIncrement) > 0) {
|
||||
validation.put("isValid", false);
|
||||
validation.put("isAbnormal", true);
|
||||
validation.put("abnormalReason", String.format("增量异常: %s > %s", increment, maxIncrement));
|
||||
return validation;
|
||||
}
|
||||
|
||||
return validation;
|
||||
}
|
||||
|
||||
/**
|
||||
* 根据管径获取最大合理增量
|
||||
*/
|
||||
private BigDecimal getMaxIncrementByCaliber(String caliber) {
|
||||
return switch (caliber) {
|
||||
case "DN15" -> BigDecimal.valueOf(10); // 小表每月最大10立方米
|
||||
case "DN20" -> BigDecimal.valueOf(20);
|
||||
case "DN25" -> BigDecimal.valueOf(30);
|
||||
case "DN32" -> BigDecimal.valueOf(50);
|
||||
case "DN40" -> BigDecimal.valueOf(80);
|
||||
case "DN50" -> BigDecimal.valueOf(150);
|
||||
case "DN65" -> BigDecimal.valueOf(300);
|
||||
case "DN80" -> BigDecimal.valueOf(500); // DN80大表每月最多500立方米
|
||||
case "DN100" -> BigDecimal.valueOf(800);
|
||||
case "DN150" -> BigDecimal.valueOf(1500);
|
||||
default -> BigDecimal.valueOf(1000); // 其他管径默认1000立方米
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* 保存抄表记录
|
||||
*/
|
||||
private void saveReadingRecord(Map<String, Object> meter, BigDecimal prevReading,
|
||||
BigDecimal currReading, BigDecimal consumption) {
|
||||
String period = java.time.YearMonth.now().format(java.time.format.DateTimeFormatter.ofPattern("yyyy-MM"));
|
||||
Long meterId = (Long) meter.get("id");
|
||||
|
||||
jdbcTemplate.update(
|
||||
"INSERT INTO rev_reading (meter_id, reading_date, reading_period, prev_reading, curr_reading, consumption, read_type) " +
|
||||
"VALUES (?, CURRENT_DATE, ?, ?, ?, ?, 'enhanced_remote')",
|
||||
meterId, period, prevReading, currReading, consumption);
|
||||
|
||||
jdbcTemplate.update("UPDATE rev_meter SET current_reading = ? WHERE id = ?", currReading, meterId);
|
||||
}
|
||||
|
||||
/**
|
||||
* 生成批量抄表报告
|
||||
*/
|
||||
private void generateBatchReport(Map<String, Object> result) {
|
||||
String period = (String) result.get("period");
|
||||
String reportId = "BATCH_READ_" + period + "_" + System.currentTimeMillis();
|
||||
|
||||
jdbcTemplate.update(
|
||||
"INSERT INTO rev_batch_report (report_id, period, total_meters, success_meters, failed_meters, abnormal_meters, created_at) " +
|
||||
"VALUES (?, ?, ?, ?, ?, ?, NOW())",
|
||||
reportId, period,
|
||||
result.get("totalCount"),
|
||||
result.get("successCount"),
|
||||
result.get("failedCount"),
|
||||
result.get("abnormalCount"));
|
||||
|
||||
result.put("reportId", reportId);
|
||||
result.put("generatedAt", LocalDateTime.now());
|
||||
}
|
||||
|
||||
/**
|
||||
* 大表专项监控 (DN80+)
|
||||
*/
|
||||
public Map<String, Object> largeMeterEnhancedMonitor() {
|
||||
Map<String, Object> result = new HashMap<>();
|
||||
|
||||
// 获取所有大表数据
|
||||
List<Map<String, Object>> largeMeters = jdbcTemplate.queryForList(
|
||||
"SELECT rm.*, c.customer_name, c.area, i.device_sn, i.status as device_status, " +
|
||||
"rr.reading_date, rr.curr_reading, rr.prev_reading, rr.consumption " +
|
||||
"FROM rev_meter rm " +
|
||||
"JOIN rev_customer c ON rm.customer_id = c.id " +
|
||||
"LEFT JOIN iot_device i ON rm.device_id = i.id " +
|
||||
"LEFT JOIN rev_reading rr ON rm.id = rr.meter_id AND rr.reading_period = ? " +
|
||||
"WHERE rm.caliber IN ('DN80','DN100','DN150','DN200','DN300','DN400') " +
|
||||
"AND rm.status = 'active' " +
|
||||
"ORDER BY rm.caliber DESC, c.area",
|
||||
java.time.YearMonth.now().format(java.time.format.DateTimeFormatter.ofPattern("yyyy-MM")));
|
||||
|
||||
result.put("totalCount", largeMeters.size());
|
||||
result.put("monitors", new ArrayList<>());
|
||||
result.put("alarms", new ArrayList<>());
|
||||
|
||||
for (Map<String, Object> meter : largeMeters) {
|
||||
Map<String, Object> monitor = new HashMap<>();
|
||||
monitor.put("meterNo", meter.get("meter_no"));
|
||||
monitor.put("caliber", meter.get("caliber"));
|
||||
monitor.put("customerName", meter.get("customer_name"));
|
||||
monitor.put("area", meter.get("area"));
|
||||
monitor.put("deviceSn", meter.get("device_sn"));
|
||||
monitor.put("deviceStatus", meter.get("device_status"));
|
||||
monitor.put("currentReading", meter.get("curr_reading"));
|
||||
monitor.put("lastReadingDate", meter.get("reading_date"));
|
||||
monitor.put("consumption", meter.get("consumption"));
|
||||
|
||||
// 大表监控检查
|
||||
Map<String, Object> alarm = checkLargeMeterAlerts(monitor);
|
||||
if (alarm != null) {
|
||||
result.get("alarms").add(alarm);
|
||||
}
|
||||
|
||||
result.get("monitors").add(monitor);
|
||||
}
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
* 大表监控预警检查
|
||||
*/
|
||||
private Map<String, Object> checkLargeMeterAlerts(Map<String, Object> meter) {
|
||||
Map<String, Object> alarm = null;
|
||||
String meterNo = (String) meter.get("meterNo");
|
||||
BigDecimal consumption = meter.get("consumption") != null ? (BigDecimal) meter.get("consumption") : BigDecimal.ZERO;
|
||||
|
||||
// 1. 突增预警（月用量超过管径标准值的2倍）
|
||||
BigDecimal maxNormal = getMaxIncrementByCaliber((String) meter.get("caliber"));
|
||||
if (consumption.compareTo(maxNormal.multiply(BigDecimal.valueOf(2))) > 0) {
|
||||
alarm = createAlarm(meterNo, "突增预警", "MONITORING_HIGH_CONSUMPTION",
|
||||
String.format("月用量%s异常高，建议检查水表状态", consumption));
|
||||
}
|
||||
|
||||
// 2. 设备离线预警
|
||||
if (meter.get("deviceStatus") == null || "offline".equals(meter.get("deviceStatus"))) {
|
||||
if (alarm == null) {
|
||||
alarm = createAlarm(meterNo, "设备离线", "MONITORING_DEVICE_OFFLINE", "大表设备离线，无法远程抄表");
|
||||
} else {
|
||||
alarm.put("additionalIssues", alarm.getOrDefault("additionalIssues", new ArrayList<>()));
|
||||
((List<String>) alarm.get("additionalIssues")).add("设备离线");
|
||||
}
|
||||
}
|
||||
|
||||
// 3. 零流量预警
|
||||
if (consumption.compareTo(BigDecimal.ZERO) == 0) {
|
||||
if (alarm == null) {
|
||||
alarm = createAlarm(meterNo, "零流量预警", "MONITORING_ZERO_FLOW", "大表月用量为零，建议检查表计状态");
|
||||
} else {
|
||||
alarm.put("additionalIssues", alarm.getOrDefault("additionalIssues", new ArrayList<>()));
|
||||
((List<String>) alarm.get("additionalIssues")).add("零流量");
|
||||
}
|
||||
}
|
||||
|
||||
return alarm;
|
||||
}
|
||||
|
||||
/**
|
||||
* 创建预警记录
|
||||
*/
|
||||
private Map<String, Object> createAlarm(String meterNo, String title, String type, String description) {
|
||||
Map<String, Object> alarm = new HashMap<>();
|
||||
alarm.put("meterNo", meterNo);
|
||||
alarm.put("title", title);
|
||||
alarm.put("type", type);
|
||||
alarm.put("description", description);
|
||||
alarm.put("severity", "HIGH");
|
||||
alarm.put("createdAt", LocalDateTime.now());
|
||||
alarm.put("status", "PENDING");
|
||||
return alarm;
|
||||
}
|
||||
}
|
||||
+138
@@ -0,0 +1,138 @@
|
||||
package com.water.revenue.service.enhanced;
|
||||
|
||||
import com.water.revenue.service.enhanced.EnhancedRemoteReadingService;
|
||||
import org.junit.jupiter.api.BeforeEach;
|
||||
import org.junit.jupiter.api.Test;
|
||||
import org.springframework.beans.factory.annotation.Autowired;
|
||||
import org.springframework.boot.test.context.SpringBootTest;
|
||||
import org.springframework.jdbc.core.JdbcTemplate;
|
||||
import org.springframework.test.context.ActiveProfiles;
|
||||
|
||||
import java.math.BigDecimal;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
import static org.junit.jupiter.api.Assertions.*;
|
||||
|
||||
/**
|
||||
* 增强版远传集抄服务测试
|
||||
*/
|
||||
@SpringBootTest
|
||||
@ActiveProfiles("test")
|
||||
public class EnhancedRemoteReadingServiceTest {
|
||||
|
||||
@Autowired
|
||||
private EnhancedRemoteReadingService enhancedService;
|
||||
|
||||
@Autowired
|
||||
private JdbcTemplate jdbcTemplate;
|
||||
|
||||
@BeforeEach
|
||||
void setUp() {
|
||||
// 清理测试数据
|
||||
jdbcTemplate.update("DELETE FROM rev_reading WHERE read_type = 'test'");
|
||||
jdbcTemplate.update("DELETE FROM rev_batch_report WHERE report_id LIKE 'TEST_%'");
|
||||
}
|
||||
|
||||
@Test
|
||||
void testBatchReadSingleArea() {
|
||||
// 测试单区域批量抄表
|
||||
Map<String, Object> result = enhancedService.enhancedBatchRead(List.of("测试区域"));
|
||||
|
||||
assertNotNull(result);
|
||||
assertEquals("测试区域", ((List<String>) result.get("areas")).get(0));
|
||||
assertTrue((Integer) result.get("totalCount") >= 0);
|
||||
assertTrue((Integer) result.get("successCount") >= 0);
|
||||
assertTrue((Integer) result.get("failedCount") >= 0);
|
||||
assertTrue((Integer) result.get("abnormalCount") >= 0);
|
||||
|
||||
assertNotNull(result.get("period"));
|
||||
assertNotNull(result.get("reportId"));
|
||||
}
|
||||
|
||||
@Test
|
||||
void testBatchReadMultiArea() {
|
||||
// 测试多区域批量抄表
|
||||
List<String> areas = List.of("测试区域1", "测试区域2");
|
||||
Map<String, Object> result = enhancedService.enhancedBatchRead(areas);
|
||||
|
||||
assertNotNull(result);
|
||||
assertEquals(2, ((List<String>) result.get("areas")).size());
|
||||
|
||||
// 检查每个区域的统计信息
|
||||
assertTrue(result.containsKey("area_测试区域1"));
|
||||
assertTrue(result.containsKey("area_测试区域2"));
|
||||
}
|
||||
|
||||
@Test
|
||||
void testValidateReading() {
|
||||
// 测试读数校验逻辑
|
||||
|
||||
// 模拟DN80水表
|
||||
Map<String, Object> meterDN80 = Map.of(
|
||||
"meter_no", "TEST_DN80_001",
|
||||
"caliber", "DN80",
|
||||
"current_reading", new BigDecimal("1000.00")
|
||||
);
|
||||
|
||||
// 测试正常递增
|
||||
Map<String, Object> validation1 = enhancedService.readSingleMeter(meterDN80, "测试区域");
|
||||
assertEquals("success", validation1.get("status"));
|
||||
assertEquals(new BigDecimal("1000.00"), validation1.get("prevReading"));
|
||||
assertTrue(new BigDecimal("1000.00").compareTo((BigDecimal) validation1.get("currReading")) <= 0);
|
||||
|
||||
// 测试异常递减（应该标记为异常但仍成功记录）
|
||||
Map<String, Object> meterDecrease = Map.of(
|
||||
"meter_no", "TEST_DECREASE_001",
|
||||
"caliber", "DN80",
|
||||
"current_reading", new BigDecimal("2000.00")
|
||||
);
|
||||
enhancedService.readSingleMeter(meterDecrease, "测试区域");
|
||||
enhancedService.readSingleMeter(meterDecrease, "测试区域"); // 第二次递减
|
||||
}
|
||||
|
||||
@Test
|
||||
void testLargeMeterMonitoring() {
|
||||
// 测试大表监控功能
|
||||
Map<String, Object> result = enhancedService.largeMeterEnhancedMonitor();
|
||||
|
||||
assertNotNull(result);
|
||||
assertTrue((Integer) result.get("totalCount") >= 0);
|
||||
assertNotNull(result.get("monitors"));
|
||||
assertNotNull(result.get("alarms"));
|
||||
assertTrue(((List<?>) result.get("monitors")).size() >= 0);
|
||||
assertTrue(((List<?>) result.get("alarms")).size() >= 0);
|
||||
}
|
||||
|
||||
@Test
|
||||
void testMaxIncrementByCaliber() {
|
||||
// 测试不同管径的最大合理增量
|
||||
|
||||
// DN15 小表应该限制在10立方米以内
|
||||
assertTrue(enhancedService.getMaxIncrementByCaliber("DN15").compareTo(new BigDecimal("10")) <= 0);
|
||||
|
||||
// DN80 大表应该允许更大的增量
|
||||
assertTrue(enhancedService.getMaxIncrementByCaliber("DN80").compareTo(new BigDecimal("500")) <= 0);
|
||||
|
||||
// DN150 超大表允许更大的增量
|
||||
assertTrue(enhancedService.getMaxIncrementByCaliber("DN150").compareTo(new BigDecimal("1500")) <= 0);
|
||||
}
|
||||
|
||||
@Test
|
||||
void testGenerateReport() {
|
||||
// 测试生成抄表报告
|
||||
List<String> areas = List.of("测试区域");
|
||||
Map<String, Object> result = enhancedService.enhancedBatchRead(areas);
|
||||
|
||||
assertNotNull(result.get("reportId"));
|
||||
assertNotNull(result.get("generatedAt"));
|
||||
|
||||
// 验证报告确实保存到数据库
|
||||
String reportId = (String) result.get("reportId");
|
||||
Map<String, Object> dbReport = jdbcTemplate.queryForMap(
|
||||
"SELECT * FROM rev_batch_report WHERE report_id = ?", reportId);
|
||||
|
||||
assertEquals(reportId, dbReport.get("report_id"));
|
||||
assertEquals(areas.get(0), ((List<?>) dbReport.get("areas")).get(0));
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user