Adopting artificial intelligence technologies such as big language models, deep learning, knowledge mapping, etc., it realizes the cleaning, early warning, prediction, diagnosis, assessment and maintenance decision-making of power equipment state data, solves the problems of equipment operation and inspection business such as a single means of early warning, low prediction accuracy, long time of fault diagnosis, and unprecise maintenance decision-making, etc., and greatly improves the accuracy of fault root cause location and analysis as well as the treatment efficiency of the whole process. Through artificial intelligence technology to empower the traditional power equipment operation and inspection and production, it realizes real-time assessment of equipment health status, early detection of hidden problems, fault disposal professional guidance, operation and maintenance strategy optimization, and forms "operation inspection intelligent brain" under the operation and maintenance mode of "autonomous inspection + intelligent analysis" of power enterprises.