Artificial Intelligence Design of Fault Warning System for Hydraulic Device of Hydroelectric Governor
In the"unmanned and remote centralized control"mode of hydropower plants,the operation monitoring panel of the centralized control duty officer faces problems such as a large amount of manual observation data,relying mainly on human experience,and difficulty in early identification of equipment defects.In order to improve the operation monitoring efficiency of the watchman and meet the need of"unattended,remote centralized control"management improvement of the hydropower plant,this paper takes the governor oil pressure device of the hydropower plant as the research object,and applies new generation information technologies such as artificial intelligence and industrial Internet to build an equipment fault early warning system applied to the governor oil pressure device of the hydropower unit,including data acquisition,data analysis and intelligent fault early warning modules.This system can perform online detection,processing,and analysis of the status parameter information of the governor oil pressure device,achieving the purpose of equipment status monitoring and fault warning,and providing a new mode and concept for lean management of hydropower station equipment.
国家科技期刊平台
NSTL
万方数据
