Solar PV Hotspot Intelligent Diagnosis and Precision Locator
光伏电站热斑智能诊断与精准定位系统
Addressing the pain point of low hotspot detection accuracy and high false positive rates in drone inspections, this system fuses visible light images, infrared thermal imaging, and electrical performance data to build a multi-source intelligent hotspot diagnosis model. It enables precise hotspot identification, severity classification, and accurate location, solving problems in assessing hotspot risk levels and optimizing maintenance prioritization.
npx openclaw skills install industry-solar-pv-hotspot-intelligent-diagnosisFeatures
- **多源数据融合热斑识别**: 整合无人机可见光图像、红外热成像、组串电流电压数据，通过深度学习算法识别热斑，输出每个热斑的像素级定位坐标和温度异常值，解决单一数据源误报率高的问题
- **热斑严重程度智能分级**: 基于温度异常幅度、影响组件数量、历史变化趋势等多维度指标，自动将热斑分为轻微/中等/严重/紧急四个等级，辅助运维人员快速判断处理优先级
- **热斑成因智能分析**: 分析热斑形成原因（遮挡、灰尘、电池片隐裂、旁路二极管故障等），结合气象和运维记录，输出诊断结论和维修建议，减少运维人员排查时间
- **检修任务智能派单**: 根据热斑严重程度、位置分布、运维资源可用性，自动生成检修任务清单和最优路线规划，支持移动端推送，提升检修效率
Use Cases
Installation
npx openclaw skills install industry-solar-pv-hotspot-intelligent-diagnosis
Usage Examples
`分析无人机巡检数据中红外图像，识别热斑并按严重程度排序`
`查看西区23号方阵的热斑分布情况，输出该区域需要优先检修的组件位置`