In 2018, we started the "Optimized Maintenance Intelligent Decision Platform" system project based on four-inspections-in-one of Luhua Thermal Power Plant.

The "Optimized Maintenance Intelligent Decision Platform" is a platform for intelligent analysis and intelligent optimization of maintenance strategies for equipment management personnel. Based on the "five-dimensional evaluation" of reliability, safety, availability, economy and environmental protection and through big data analysis + expert experience, this platform forms an expert diagnosis knowledge base of various systems and types of equipment, and achieves six optimization objectives of optimization of maintenance strategy, optimization of maintenance period, optimization of maintenance items, optimization of maintenance level, optimization of maintenance cost, and optimization of maintenance effect.

The system integrated platform is composed of multiple system modules including intelligent patrolling and point inspection pre-control system, visualized steam turbine generator unit intelligent safety pre-control system (BCT101), visualized large rotating machinery intelligent control system (BCT102), steam turbine regulation-level anti-water alarm system, intelligent steam turbine life assessment system, optimized maintenance intelligent decision system, technical supervision and management system and thermal intelligent early warning system. Through comprehensive diagnosis and case-based solutions, this platform functions in finding out fundamental defects in different life stages of the unit and eradicate them once for all. This system can greatly extend the service life of equipment while ensuring reliability, thereby to expand the overhaul period of the unit, improve asset quality and efficiency, optimize the input-output ratio during the life of all units, standardize management of decommissioned assets, and improve equipment utilization rate and residual value recovery. As a result, investment rationalization and cost optimization can be realized through balancing the relationship between benefits, efficiency, and life cycle cost.