基于组合流量法的城市供水系统小区漏损诊断和预警

Diagnosis and Early Warning for Water Leakage Loss of Reidential Community in Urban Water Supply System Based on Combined Flow Method

近年来,城市供水管网漏损问题频发,小区供水管网作为供水管网的最后一公里,降低小区管网漏损已成为供水企业的重要工作内容。文章针对夜间最小流量移动平均隔差法诊断不及时等问题,提出了一种基于全天流量的判别阈值矩阵分析的漏损诊断预警方法,利用全天流量趋势构建判别阈值矩阵诊断漏损,还将基于全天流量的判别阈值矩阵分析法与夜间最小流量移动平均隔差法结合,提出了一种基于全天流量和夜间最小流量的组合型漏损诊断预警法。将夜间最小流量移动平均隔差法、基于全天流量的判别阈值矩阵分析法和组合流量法分别应用于S市的30个DMA小区,识别准确率分别可以达到73.52%、78.19%和91.28%。结果表明,文章提出的基于全天流量的判别阈值矩阵分析法以及组合型漏损诊断预警法在解决小区供水管网漏损问题方面具有较好的应用前景和实际效果。

In recent years,frequent leakage problems in the urban water distribution system(WDS)have posed significant challenges.Addressing these leakages within community water distribution systems,often described as the‘last mile’of the WDS,has emerged as a pivot task for water supply companies.In response to the delayed diagnosis offered by the minimum night flow′s moving average differential method,this study introduces a leakage diagnosis and early warning method based on an daily flow discriminant threshold matrix analysis,which uses the daily flow trend to build threshold matrix for the diagnostic leakage.Furthermore,a combined method is proposed,integrating the daily flow-based discriminant threshold matrix analysis with the minimum night flow′s moving average differential method,which culminates in a comprehensive leak diagnosis and early warning approach grounded on both daily flow and minimum night flow.The minimum night flow′s moving average differential method,the daily flow discriminant threshold matrix analysis,and the combined method are applied to 30 DMA cells in S city,and the recognition accuracy can reach 73.52%,78.19%and 91.28%,respectively.The results showed that the daily flow discriminant threshold matrix analysis method and the combined method proposed in this paper had a good application prospect and practical effect in solving the leakage problem of the water distribution system in the community.