This system assists power plants in building data assets for supervised equipment, improving underlying management data, and enhancing standardization and refinement from the ground up. It establishes and integrates a technical supervision and controlplatform that utilizes big data to quantitatively evaluate the reliability of supervised equipment. Comprehensive, multi-perspective management is achieved across aspects such as installation standards, quality grades, technical documentation, logicalreliability, personnel skills, periodic tasks, scheduled maintenance, operational quality, technical management, and time-based accumulation. This drives a qualitative leap in existing technical supervision practices.

Furthermore, the system enablesseamless connectivity with electric power research institutes (CEPRI), reduces management costs, and ensures accurate monitoring of abnormal data dynamics.