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.
关键词
供水管网/分区计量法/漏损诊断/夜间最小流量/日流量
Key words
water distribution system/district metered area(DMA)/leakage diagnosis/minimum night flow/daily flow
维普
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