基于视频图像的输变电设备外部缺陷检测技术及其应用现状

基于视频图像的电力设备缺陷检测技术是实现电力智慧运维的关键技术之一，可解决电力设备故障自动诊断、主动预警和在线运维中存在的外部缺陷智能识别问题，减少人力资源浪费，提高电力系统巡检智能运维的频率与效率，从而弥补传统输变电设备巡检运维方式的不足。该文详细综述了当前典型的基于视频图像的输变电设备缺陷检测算法及图像处理技术，分析了传统图像处理方法及深度学习方法在电力设备缺陷检测领域应用的优缺点，总结了当前算法应用及开发平台的现状，指出了基于视频图像的输变电设备缺陷检测技术存在的问题，并展望了未来发展方向。

Review of Defect Detection Technology of Power Equipment Based on Video Images

The defect detection technology of power equipment based on video image is one of the key technologies to realize intelligent operation and maintenance. It can solve the problems of intelligent identification of external defects in automatic fault diagnosis, active warning and online maintenance of power equipment. Moreover, it is able to reduce the waste of human resources and greatly improve the reliability of system operation and maintenance, thus making up for the shortcomings of traditional protection maintenance mode and providing technical support for the stable operation of power grid. This paper summarizes current typical defect detection algorithms and image processing technology of transmission and transformation equipment based on video images. Additionally, it analyzes the advantages and disadvantages of traditional image processing methods and deep learning methods in the field of power equipment defect detection. Finally, current algorithm development platforms are summarized, and the future development is predicted.