Data Visualization⭐ Featured

Industry Solar PV Hotspot Intelligent Detection System

光伏电站热斑智能检测系统

Targeting pain points of low accuracy in hotspot detection and high miss/false alarm rates in drone inspections for distributed PV operations, integrating drone inspection images, infrared thermal imaging data, and plant operating parameters to build multi-source fusion hotspot intelligent detection model, achieving precise hotspot identification, fault root cause analysis and maintenance priority ranking.

能源矿业数字化光伏电站热斑智能检测系统
Install Command
npx openclaw skills install industry-solar-pv-hotspot-intelligent-detection-system
Version
1.0.0
Author
shuzhihui
Updated
Sat Jul 18 2026 00:00:00 GMT+0000 (Coordinated Universal Time)

Features

- **多源数据热斑精准识别**: 融合无人机可见光图像与红外热成像图像,基于深度学习算法识别热斑区域,对比EL检测数据验证识别准确性,误报率降低60%以上

- **热斑根因智能分析**: 分析热斑位置、面积、温升幅度,结合组件遮挡历史、积灰数据、逆变器效率曲线,智能判断热斑成因(遮挡、积灰、电池片隐裂、旁路二极管故障等)

- **运维优先级智能排序**: 综合热斑严重程度、影响发电量损失、设备价值,输出运维优先级清单,建议最优检修顺序和资源配置方案

- **热斑发展趋势预测**: 基于历史热斑演变数据,预测当前热斑未来发展趋势,区分需紧急处理和可延后处理的热斑

Use Cases

  • **分布式光伏电站季度巡检**:某工商业分布式光伏电站完成季度无人机巡检,获取1000张红外图像,系统自动识别出23处热斑,定位其中15处为电池片隐裂导致、8处为积灰遮挡,生成运维优先级清单,运维人员据此制定检修计划
  • **热斑紧急响应处置**:某户用光伏系统监测到组件温度异常升高,系统分析确认为旁路二极管短路故障,及时推送预警,用户快速响应更换组件,避免火灾隐患
  • Installation

    npx openclaw skills install industry-solar-pv-hotspot-intelligent-detection-system

    Usage Examples

    `分析这批无人机巡检红外图像,识别所有热斑并标注位置和严重程度`

    `对比热斑区域与EL检测图像,分析热斑根因`

    `生成运维优先级清单,按发电量损失和设备价值排序`