Research on the construction of substation fault diagnosis and early warning technology based on big data

With the wide application of big data technology in all walks of life, it has shown great potential in the maintenance and fault prediction of power systems, especially substation equipment. This research focuses on developing a fault prediction and maintenance strategy for substation equipment based on big data, and constructs and validates a fault prediction model by analyzing historical data sets, so as to optimize the maintenance plan of equipment. The results show that the proposed se efficiency and equipment stability, and have a positive impact on reducing operation and trategy can effectively predict potential equipment failures, significantly improve maintenancmaintenance costs.