Research on power grid equipment maintenance based on multi-dimensional inspection image processing

The coverage of the power system continues to expand, the grid structure becomes more complex, and power inspection work faces severe challenges. Using new safety technologies to improve the efficiency of power inspections is a current research hotspot in the field of power safety. Based on this, the power management system and power safety technology were introduced, and the multi-dimensional inspection computer image data recognition technology was analyzed. From the aspects of image data acquisition and processing, fuzzy identification feature extraction, multi-dimensional collaborative inspection optimization, etc., and a multi-dimensional inspection was proposed. Computer image data processing technology for inspection, and its application in predicting power grid security vulnerabilities is explained. Since the traditional method cannot realize the intelligent collection of video information for collaborative inspection, the fuzziness identification feature of the collected video image is not high. The simulation results show that the accuracy of the inspection image output reaches more than 92%, and the visual fault tracking and identification ability of the substation is good.