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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.