Research on the Application of Artificial Intelligence Technology in Power System Equipment Operation and Maintenance

Artificial intelligence technology is used to analyze various faults in power grid. First, the PTZ camera is used to shoot each device in the power grid, and the captured device image is transmitted to the remote monitoring center. The image of the device is intercepted and preprocessed by the remote monitoring center. A fault detection algorithm based on variational modes is established to extract the fault detection signal of power grid equipment from the image and input it into SVM for learning, so as to achieve the purpose of fault detection and diagnosis of power grid equipment. Simulation results show that the proposed method can accurately identify various faults in power grids under extreme weather conditions such as haze and heavy snow.