2018In that year, our company began to implement the "Intelligent Decision-making Platform for Optimized Maintenance" system project based on the integration of four inspections at Luhua Thermal Power Plant.

The "Intelligent Decision-making Platform for Optimized Maintenance" is a platform designed for equipment managers to conduct intelligent analysis and optimize maintenance strategies. It conducts "five-dimensional evaluations" on reliability, safety, availability, economy, and environmental friendliness, based on big data analysis+Industry experience has led to the formation of an intelligent fault diagnosis knowledge base for various systems and types of equipment, achieving six major optimization goals: optimizing maintenance strategies, maintenance cycles, maintenance items, maintenance levels, maintenance costs, and maintenance effects.

The system integration platform includes an intelligent inspection and pre-control system, as well as a visual intelligent safety pre-control system for steam turbine generator sets.BCT101Visualized intelligent control system for Large-scale transfer flightsBCT102It is equipped with multiple system modules such as the steam turbine regulating stage water inlet alarm system, the intelligent steam turbine life assessment system, the intelligent decision-making system for optimized maintenance, the technical supervision and management system, and the thermal engineering intelligent early warning system. Through comprehensive diagnosis and dialectical treatment, it identifies the fundamental defects at each life stage of the unit and resolves them once and permanently. This system, while ensuring the reliability of the equipment, significantly extends its service life, thereby prolonging the major overhaul cycle of the units, improving asset quality and utilization efficiency, optimizing the input-output ratio throughout the entire unit's life cycle, standardizing the management of decommissioned assets, and enhancing equipment reuse rate and residual value recovery. By comprehensively balancing the relationship among benefits, efficiency and cycle cost, investment rationalization and cost optimization can be achieved.