Optimization of Intelligent Fault Identification Algorithm for Photovoltaic Modules Based on Surveillance Video
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.
photovoltaic modulefault identificationsurveillance video
万方数据
维普
