Analytical Leakages Localization in Water Distribution Networks Through Spectral Clustering and Support Vector MACHINES. The Icewater Approach

被引：31

作者：

Candelieri, A. ^{[1
,2
]}

Soldi, D. ^{[2
]}

Conti, D. ^{[1
]}

Archetti, F. ^{[1
,2
]}

机构：

[1] Consorzio Milano Ric, Via Roberto Cozzi 53, I-20125 Milan, Italy

[2] Univ Milano Bicocca, Dept Comp Sci Syst & Commun, Viale Sarca 336, I-20126 Milan, Italy

来源：

16TH WATER DISTRIBUTION SYSTEM ANALYSIS CONFERENCE (WDSA2014): URBAN WATER HYDROINFORMATICS AND STRATEGIC PLANNING | 2014年 / 89卷

关键词：

leakage management; leak localization; spectral clustering; support vector machine; simulation; SENSOR PLACEMENT; PIPE NETWORKS; MANAGEMENT;

D O I：

10.1016/j.proeng.2014.11.228

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

An approach based on hydraulic simulation and machine learning is presented, aimed at improving leakage management via analytical leak localization and reducing time and costs for investigation and rehabilitation of the Water Distribution Network. Hydraulic simulation is used to run different leakage scenarios by introducing a leak on each pipe, in turn, and varying its severity. The approach has been validated on two WDNs: a Pressure Management Zone in Milan (Italy) and a District Metered Area in Timisoara (Romania), the two pilots of the EU-FP7-ICT project ICeWater, obtaining a high reliability (>90%) in localizing a wide set of simulated leaks. (C) 2014 The Authors. Published by Elsevier Ltd.

引用

页码：1080 / 1088

页数：9

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