大型水轮发电机组水淹水车室预警决策模型研究  

Study on the Early Warning Decision Model of Flood in Waterwheel Room of Large Hydro-generator Unit

作　　者：靳帅 郑建民 JIN Shuai;ZHENG Jianmin(Guodian Dadu River Zhentouba Power Generation Co., LTD, Leshan, Sichuan, 614700;Guodian Dadu River Hydropower Development Co., LTD, Leshan, Sichuan, 610041)

机构地区：[1]国电大渡河枕头坝发电有限公司,四川乐山614700 [2]国电大渡河流域水电开发有限公司,四川成都610041

出　　处：《四川水力发电》2020年第3期137-140,共4页Sichuan Hydropower

摘　　要：笔者分析了大型水轮发电机组水淹水车室事故产生的原因及特点,详细介绍了通过对运行大数据分析,构建基于水位预测、概率逻辑推理和故障知识图谱的预警决策辅助模型的解决方案,将水淹水车室事故由事后被动发现变为事前提前预知,建立了基于水车室设备的知识图谱,为指导相关人员对故障性质、故障位置、处置方式进行准确判断和消除设备隐患提供了新思路。该模型基于对海量数据分析研究建立,分析结果具有代表性,可广泛推广应用,运行结果经实际检验准确可靠,可有效解决实际问题,保障企业安全生产,促进管理水平提升。This paper analyzes the causes and characteristics of the flood accidents in the waterwheel room of large-scale hydro-generator units,and introduces in detail the solution of constructing the early warning decision-making auxiliary model based on the water level prediction,probability logic reasoning and fault knowledge map through the analysis of the operation big data,so as to change the flood accident in waterwheel room from the passive discovery after the event to the prediction in advance.The knowledge map based on the equipment in the waterwheel room is established,which provides a new idea for guiding the relevant personnel to accurately judge the fault nature,fault location and disposal mode and eliminate the potential hazards of the equipment.The model is established based on the analysis and study of massive data.The analysis results are representative and can be widely used.The operation results are accurate and reliable after actual test,which can effectively solve practical problems,ensure the safety of production and improve the management level.

关 键 词：水淹水车室 顶盖水位 预警决策 知识图谱 

分 类 号：TV734.21[水利工程—水利水电工程] TM31[电气工程—电机]