This solution is built on multi-dimensional data collection, aggregating real-time data on equipment conditions, energy consumption indicators, and operating parameters to form an O&M data foundation of “comprehensive perception–data integration–intelligent analysis.” It integrates IoT, Industrial Internet, big data, cloud computing, GIS, and digital twin technologies, combined with standardized management methods and intelligent algorithm models, to create a full-process O&M management platform that integrates “equipment monitoring, inspection management, fault prediction, operation optimization, and decision support.” This enables the transition of O&M from “manual experience” to “data-driven.”