Power Equipment Health Monitoring: Portable Inspection Technology Based on Big Data and AI

With the rapid development of information technology, the demand for equipment health monitoring in power system is increasing day by day. However, the traditional inspection method has the problems of insufficient real-time and low precision. Based on this, this paper studies portable inspection technology based on big data and AI for the health monitoring of power equipment, carries out data processing and AI for the health monitoring of power equipment. inspection technology based on big data and AI for the health monitoring of power equipment, carries out data processing and storage through big data technology, and applies DPC algorithm to classify equipment status and detect anomalies. Field tests show that the system has improved the accuracy and efficiency of equipment condition monitoring significantly and provides a more efficient system for monitoring equipment condition. Field tests show that the system has improved the accuracy and efficiency of equipment condition monitoring significantly and provides effective support for the reliable operation of power system.