Abstract: In the operation and maintenance management of power system, equipment modeling is the core link, which relies on accurate and efficient data processing technology to optimize the application of operation and maintenance data. This process is important for improving grid reliability and preventing failures, especially in the field of power transformation and transmission, where complex interactions between equipment and data require models to accurately map the actual power network structure and function. This paper introduces in detail the equipment modeling optimization method based on the operation and inspection data of power system. Artificial intelligence and automation technology are used to improve data access and processing, strengthen the calibration of the connection relationship between power transformation and transmission equipment, optimize the position adjustment of graphic connection, and verify the effectiveness of the proposed method through experimental tests, thus significantly improving the accuracy and operation and maintenance efficiency of power grid equipment modeling.