摘要
电力系统设备的安全稳定运行对于保障电力供应至关重要。文章探讨了计算机视觉技术在电力系统设备状态监测与缺陷识别中的应用。通过图像采集与处理、特征提取与分析等关键技术,实现了对设备外观、运行状态等方面的监测和缺陷识别。实际应用案例表明,计算机视觉技术能够提高监测效率、准确性和安全性,为电力系统的可靠运行提供有力支持。
The safe and stable operation of power system equipment is crucial for ensuring power supply.This article explores the application of computer vision technology in power system equipment status monitoring and defect recognition.Through key technologies such as image acquisition and processing,feature extraction and analysis,monitoring and defect recognition of equipment appearance,operating status,and other aspects have been achieved.Practical application cases shows that computer vision technology can improve monitoring efficiency,accuracy,and safety,providing strong support for the reliable operation of power systems.
作者
杨正
YANG Zheng(Jiangsu Guoxin Su Salt Energy Storage Power Generation Co.,Ltd.,Huai̓an,Jiangsu 223226,China)
关键词
计算机视觉技术
电力系统设备
状态监测
缺陷识别
computer vision technology
power system equipment
status monitoring
defect identification
