视觉识别与故障检测技术在光伏发电系统中的应用

Application of Visual Recognition and Fault DetectionTechnologyin Photovoltaic Power Generation Systems

阐述计算机视觉技术在新能源光伏发电系统中的应用,通过图像采集与预处理、图像分割和特征提取、故障分类与识别、系统性能评估的融合,可以实现对光伏组件故障的准确、快速检测和定位。

This paper describes the application of computer vision technology in new energy photovoltaic power generation systems.Through the fusion of image acquisition and preprocessing,image segmentation and feature extraction,fault classification and recognition,and system performance evaluation,it can achieve accurate and rapid detection and localization of photovoltaic module faults.