摘要
针对传统最小夜间流量MNF法存在大量误报警问题,在夜间流量实测数据统计分析基础上,提出了改进MNF方法,通过优化夜间监测时段、预警阈值及采用SPC检测规则,大大降低了误报警次数。经实际数据验证,改进MNF法比传统MNF法、分配系数法、时变系数法,具有更高的预警准确性和实时性。
In view of the large number of false alarms in the traditional Minimum Night Flow(MNF)method,an improved MNF method is proposed based on the statistical analysis of the night flow measured data,which greatly reduces the number of false alarms by optimizing the night monitoring period,early warning threshold and adopting SPC detection rules.The actual data validation shows that the improved MNF method has higher warning accuracy and real-time performance than the traditional MNF method,distribution coefficient method and time-varying coefficient method.
作者
江永伟
杨奇
王海涛
应志豪
何必仕
徐哲
JIANG You-wei;YANG Qi;WANG Hai-tao;YING Zhi-hao;HE Bi-shi;XU Zhe(Hangzhou Water Holding Group CO.,LTD.,Hangzhou 310009,China;School of Automation,Hangzhou Dianzi University,Hangzhou 310018,China)
出处
《浙江水利水电学院学报》
2020年第1期68-71,90,共5页
Journal of Zhejiang University of Water Resources and Electric Power
基金
国家自然科学基金资助项目(U1509205)
关键词
最小夜间流量法
漏损检测
分配系数法
时变系数法
统计过程控制
minimum night flow method
leakage detection
distribution coefficient method
time-varying coefficient method
statistical process control