Harris角点检测在电力设备状态监测中的应用

人们对电力设备的要求逐渐提高，电力设备的带电检测、在线监测、巡检和试验、运行工况、环境等是电力设备状态监测和评估发展的必然趋势。由于一些大型电力设备长期工作在户外恶劣的环境下，随着时间的推移，其性能会下降并逐渐降低用电可靠性。为了更好地实现对电力设备的监测并保证电力系统的正常运行，针对常见电力设备运行中出现故障的特点，该文采用Harris角点检测监控电力设备状态的方法来对电力系统中的运行设备进行监测。该方法将摄像头搜集的实时图像和正常运行的电力设备状态进行比较，根据比对采集到的图像焦点特征来判断正在运行的电力设备是否发生故障，以便于电力设备监测的工作人员及时采取合理的处理措施对已故障的设备进行保养和维护。该方法不仅减轻了维修人员的工作负担，还减少了因设备故障导致的用电事故，从而大幅度提高了电力系统的安全性和稳定性。

Application of Harris Corner Detection in State Monitoring of Electric Equipment

The demand for electric power equipment is increasing gradually. The electrification detection, on-line monitoring, inspection and test, operating condition and environment are the inevitable trend of the state monitoring and evaluation of the power equipment. Because some large power equipments work in the outdoor environment for a long time, their performance will decrease with time, and gradually reduce the reliability of electricity. In order to better realize the monitoring of the power equipment and ensure the normal operation of the power system, in view of the characteristics of the fault in the operation of the common power equipment, this paper uses the Harris corner detection to monitor the state of the power equipment to monitor the operating equipment in the power system. This method compares the real-time image collected by the camera with the state of the normal running power equipment. According to the comparison of the focus features of the captured image, it can judge whether the power equipment in operation is malfunction, so that the staff of the power equipment monitoring will take reasonable measures to ensure the equipment that has been broken down in time. Maintenance and maintenance. This method not only reduces the work burden of the maintenance personnel, but also reduces the electrical accidents caused by the equipment failure, thus greatly improving the security and stability of the power system.