2020In that year, our company began to implement the research and development project of the "Integrated Maintenance and Power Generation Strategy for Thermal Power Plants Based on Big Data" system for the million-kilowatt units of State Power Investment Corporation's Changshu Power Plant. The construction of an integrated platform includes an integrated equipment intelligent control system, a visual intelligent management system for the health status of steam turbine generator sets, a visual intelligent management system for the health status of auxiliary machines, a visual intelligent management system for the health status of boilers, and a visual intelligent management system for the health status of valves.

The development of this system is to implement the national "intelligent" policy+A comprehensive solution for the development strategy, adapting to the development of new technologies, and ensuring the safe and efficient operation of the power generation industry. This solution forms an integrated big data platform by identifying and integrating the entire life cycle, all equipment, all processes, and all data of the power plant. It uses advanced algorithms, machine deep learning, and edge computing methods to extract and mine relevant data (including positive and negative correlations) from the big data, and then combines the experience of industry experts for identification and screening. Create a fault model database (or expert diagnosis knowledge base) to achieve in-depth application of artificial intelligence in condition-based maintenance and power generation operation strategies of power generation enterprises (including optimization strategies under low-load conditions).

This project integrates all the information systems within the power plant, combines the health status of the equipment, and scientifically adjusts the maintenance strategy and power generation strategy to support the enterprise's production and operation decisions. (1Based on the extraction and mining of big data from equipment+Establishment of a comprehensive fault model database based on expert experience; (2Based on multi-dimensional big data extraction and mining+Research on Business Decision-making Based on Expert Experience