城市供水管网健康监测与诊断:IV.监测点压力在线预测
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摘要
供水管网运行状态的准确把握,对供水管网的健康监测与诊断至关重要,而监测点压力是管网运行状态最重要的标志之一。提出用于供水管网监测点压力在线预测的EMD(经验模态分解)与自回归模型相结合的方法,并对EMD组合模态所蕴含的物理意义进行了阐述。通过一实际供水管网中某监测点压力的在线预测与实际监测值的比较,验证了方法的有效性,此方法可提高城市供水管网健康的在线监测与诊断的效率。
Accurate estimation of operation status of a water distribution system is essential to health monitoring and diagnosis of the water distribution system,while the water pressure is the most important indicator of the operation status.This study proposes a method,combination of EMD(Empirical Mode Decomposition) method and AR model,for online forecast of the pressure at monitoring stations in a water distribution system.The effectiveness of the method is verified by the comparison between the forecasting of the pressure in a water distribution system and the monitoring data.This study provides an effective way for online health monitoring and diagnosis of a water distribution system.
Accurate estimation of operation status of a water distribution system is essential to health monitoring and diagnosis of the water distribution system,while the water pressure is the most important indicator of the operation status.This study proposes a method,combination of EMD(Empirical Mode Decomposition) method and AR model,for online forecast of the pressure at monitoring stations in a water distribution system.The effectiveness of the method is verified by the comparison between the forecasting of the pressure in a water distribution system and the monitoring data.This study provides an effective way for online health monitoring and diagnosis of a water distribution system.
引文
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[2]梁建文.城市供水管网健康监测与诊断:II.既有局部漏损识别方法[J].地震工程与工程振动,2010,30(5):100-105.Liang J W.Health monitoring and diagnosis of a waterdistribution system(II):Identification of an existentlocal loss[J].Earthquake Engineering and Engineer-ing Vibration,2010,30(5):100-105.
[3]Huang N E,Shen Z,Long S R,et al.The empiricalmode decomposition and the Hilbert spectrum for non-linear and non-stationary time series analysis[J].Pro-ceedings of Royal Society,London,Series A,1998,(454):899-995.
[4]张郁山,梁建文,胡聿贤.应用自回归模型处理EMD方法中的边界问题[J].自然科学进展,2003,13(10):1054-1059.Zhang Y Sh,Liang J W,Hu Y X.Boundary problemin EMD method by using AR model[J].Progress inNatural Science,2003,13(10):1054-1059.
[5]杨叔子,吴雅,轩建平,等.时间序列分析的工程应用(第二版)[M].武汉:华中科技大学出版社,2007.Yang Sh Z,Wu Y,Xuan J P,et al.Time Series Anal-ysis in Engineering Application(2nd Edition)[M].Wuhan:Huazhong University of Science Press,2007.
[6]大崎顺彦.地震动的谱分析入门[M].北京:地震出版社,1980.Ohsaki Y.Introduction to Spectral Analysis of GroundMotions[M].Beijing:Seismological Press,1980.
[7]张树京,齐立心.时间序列分析简明教程[M].北京:清华大学出版社,2003.Zhang Sh J,Qi L X.A Concise Course in Time SeriesAnalysis[M].Beijing:Tsinghua University Press,2003.
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