基于视频监控的电力设备图像识别

Image Recognition of Power Equipment Based on Video Surveillance

随着我国电力事业的发展,电能质量提高和电网正常运行的压力越来越大。设备数量多,线路布线复杂,使得电网系统更加复杂。这些因素都会使得故障诊断较为复杂。故电力设备需配备在线监测功能,对其运行状态及设备性能进行实时监测,以便设备出现运行故障时及时处理与恢复。需对电力设备的缺陷进行智能识别与分析,并借助各种先进的算法判断电力设备故障的类型,以便及时发现设备的故障隐患,采取相应措施,实现科学的设备故障诊断和检修,对电力系统运行的可靠性、安全性具有重要意义。基于此,文章对基于视频监控的电力设备图像识别进行研究,以供参考。

With the development of my country’s power industry,the pressure on the improvement of power quality and the normal operation of the power grid is increasing.The large number of equipment and complicated wiring make the power grid system more complicated.These factors will make the fault diagnosis more complicated.Therefore,power equipment needs to be equipped with online monitoring functions to monitor its operating status and equipment performance in real time,so that the equipment can be processed and restored in time when an operating failure occurs.Intelligently identify and analyze the defects of power equipment,and use various advanced algorithms to determine the types of power equipment failures,so as to discover hidden dangers of equipment failures in time,take corresponding measures,realize scientific equipment fault diagnosis and maintenance,and operate the power system The reliability and safety of the system are of great significance.Based on this,this article studies the image recognition of power equipment based on video surveillance for reference.