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

Abstract 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.

[1]  Boon-Hee Soong,et al.  Framework of WSN based human centric cyber physical in-pipe water monitoring system , 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

[2]  Vicenç Puig,et al.  Optimal Sensor Placement for Leak Location in Water Distribution Networks Using Genetic Algorithms , 2013, 2013 Conference on Control and Fault-Tolerant Systems (SysTol).

[3]  Enrique Cabrera,et al.  Performance Indicators for Water Supply Services: Third Edition , 2006 .

[4]  Stewart Burn,et al.  LEAK DETECTION IN SIMULATED WATER PIPE NETWORKS USING SVM , 2012, Appl. Artif. Intell..

[5]  Xia Li,et al.  Leak Detection of Municipal Water Supply Network Based on the Cluster-Analysis and Fuzzy Pattern Recognition , 2010, 2010 International Conference on E-Product E-Service and E-Entertainment.

[6]  F. Archetti,et al.  A Graph based Analysis of Leak Localization in Urban Water Networks , 2014 .

[7]  Ni-Bin Chang,et al.  A rule-based decision support system for sensor deployment in small drinking water networks , 2012 .

[8]  Francesco Archetti,et al.  Improving leakage management in urban water distribution networks through data analytics and hydraulic simulation , 2013 .

[9]  Antonio Candelieri,et al.  Sectorization and analytical leaks localization in the H2OLEAK project: Clustering-based services for supporting water distribution networks management , 2012 .

[10]  Zoran Kapelan,et al.  A review of methods for leakage management in pipe networks , 2010 .

[11]  Kourosh Behzadian,et al.  Stochastic sampling design using a multi-objective genetic algorithm and adaptive neural networks , 2009, Environ. Model. Softw..

[12]  S. Christodoulou,et al.  Entropy-Based Sensor Placement Optimization for Waterloss Detection in Water Distribution Networks , 2013, Water Resources Management.

[13]  Cynthia A. Phillips,et al.  Two-Tiered Sensor Placement for Large Water Distribution Network Models , 2013 .

[14]  Wang Li-juan,et al.  A Leak Detection Method Based on EPANET and Genetic Algorithm in Water Distribution Systems , 2012, SOCO 2012.