摘要
针对目前变电站设备故障监测不准确,图像辨识度低等问题,设计了融合红外图像和可见光图像技术并将其应用于变电站电气设备热故障监测。采用一体化图像采集云台,使用图像分割和融合的计算方法将红外图像与可见光图像进行整合,并将设计监测系统应用于实际现场,通过对现场进行分析处理,结果表明此监测技术能够快速、准确的对电气设备的故障进行识别,并作出故障诊断,与传统方法相比效果明显。
Aiming at the problems of inaccurate fault monitoring and low image recognition in substation equipment,the fusion of infrared image and visible light image technology was designed and applied to thermal fault monitoring of electrical equipment in substations.Using an integrated image acquisition platform,using image segmentation and fusion calculation methods to integrate infrared images with visible light images,and applying the design monitoring system to the actual site,through the analysis and processing of the site,the results show that this monitoring technology can be rapid,Accurately identify faults in electrical equipment and make fault diagnosis,which is more effective than traditional methods.
作者
阴锡君
刘郁
王一珺
Yin Xijun;Liu Yu;Wang Yijun(State Grid Shaanxi Electric Power Research Institute,Xi'an 710100,China)
出处
《科技通报》
2019年第12期121-124,129,共5页
Bulletin of Science and Technology
