Solar PV Hotspot Intelligent Diagnosis and Precise Maintenance Planner
光伏电站热斑智能诊断与精准检修规划
Addressing the pain point of low accuracy and high missed detection/false alarm rates in hotspot detection during PV station drone inspections, this skill provides AI-powered multi-source data fusion hotspot identification, severity classification, component health profiling, and intelligent maintenance priority sorting to help O&M teams quickly locate problematic modules and develop precise repair plans, significantly reducing false detection rates and maintenance costs.
npx openclaw skills install industry-solar-pv-hotspot-intelligent-diagnosisFeatures
- **多源数据融合热斑识别**: 整合无人机红外图像、可见光图像、EL检测数据、辐照度数据和环境温度数据，采用深度学习算法对热斑进行精准识别，自动区分真实热斑与阴影遮挡、灰尘导致的假性热点，解决漏检误报问题
- **热斑严重程度智能分级**: 基于热斑温度异常值、面积扩展速度、组件发电量损失关联分析，将热斑分为红色紧急、橙色预警、黄色观察三级，为检修优先级提供量化依据
- **组件健康画像与失效预测**: 为每块问题组件建立健康档案，记录热斑历史演变趋势、关联的电气参数异常，自动预测组件剩余寿命和潜在关联故障
- **检修方案智能生成**: 根据热斑分布地理信息、备件库存情况、交通可达性，综合生成最优检修路线和备件调配方案，支持分区域、分批次检修计划导出
Use Cases
Installation
npx openclaw skills install industry-solar-pv-hotspot-intelligent-diagnosis
Usage Examples
`/hotspot-analyze --file 2024Q4_drone_inspection.csv --merge el_data.csv --output report`
`/热斑诊断-生成检修方案 --station 西北某电场 --priority high --export excel`