摘要
为实现水电站排水系统故障预警,通过对水电站排水系统各数据指标的趋势性、规律性进行智能分析,动态预测设备的发展趋势,建立水电站排水系统故障分析诊断预警模型,提前发现可能超标的性能指标,并通过智能告警平台及时将预警信息及处置指导发送至相应人员,从而做到设备故障提前预警。
Establish a diagnosis and early warning model for the fault analysis of the hydropower station drainage system.Through intelligent analysis of the trend and regularity of various data indicators of the hydropower station drainage system,dynamically predict the development trend of the equipment,find performance indicators that may exceed the standard in advance,and pass the intelligent alarm platform Early warning information and disposal instructions are sent to the corresponding personnel in time,so as to achieve early warning of equipment failure.
作者
潘宏
彭放
赵小明
何亚东
PAN Hong;PENG Fang;ZHAO Xiaoming;HE Yadong(China Energy Dadu River Basin Hydropower Development Co.Ltd.,Chengdu 610041,China;China Energy Dadu River Dagangshan Power Generation Co.Ltd.,Yaan 625409,China)
出处
《水电与抽水蓄能》
2020年第5期91-96,共6页
Hydropower and Pumped Storage
关键词
排水设备
智能预警
故障定位
drainage equipment
intelligent early warning
fault location