Diagnosis and Early Warning for Water Leakage Loss of Reidential Community in Urban Water Supply System Based on Combined Flow Method
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.
water distribution systemdistrict metered area(DMA)leakage diagnosisminimum night flowdaily flow
万方数据
维普
