In order to improve the detection efficiency and accuracy of photovoltaic module faults,this article analyzes and compares the faults in monitoring videos using deep learning and traditional image processing methods.The experimental results show that deep learning models are significantly superior to traditional methods in recognition accuracy and automation,providing an effective technical path for fault monitoring in photovoltaic systems.
关键词
光伏组件/故障识别/监控视频
Key words
photovoltaic module/fault identification/surveillance video
维普
万方数据