Model-based Monitoring Techniques for Leakage Localization in Distribution Water Networks☆

Abstract This paper describes an integrated model-based monitoring framework for leakage localization in district-metered areas (DMA) of water distribution networks, which takes advantage of the availability of a hydraulic model of the network. The leakage localization methodology is based on the use of flow and pressure sensors at the DMA inlets and a limited number of pressure sensors deployed inside the DMA. The placement of these sensors has been computed using an optimal sensor placement method based on a Genetic Algorithm optimization, which integrates the direct modelling approach (simulation) used to identify the location of leaks. The application of the resulting monitoring framework in a certain DMA of the Barcelona distribution network is provided and discussed using simulated leakage scenarios. The obtained results show that leakage detection and localization may be performed efficiently, reducing the required time for detection/localization, by following a simple procedure.

[1]  Zheng Yi Wu,et al.  WATER LOSS DETECTION VIA GENETIC ALGORITHM OPTIMIZATION-BASED MODEL CALIBRATION , 2008 .

[2]  Vicenç Puig,et al.  Pressure sensor distribution for leak detection in Barcelona water distribution network , 2009 .

[3]  Zoran Kapelan,et al.  Pipe burst diagnostics using evidence theory , 2011 .

[4]  Jordi Meseguer,et al.  On The Structure Of The Objective Function For A Pressure Sensor Placement Optimizing Methodology Based On Genetic Algorithms Applied To Model-Based Leakage Localization In Distribution Water Networks , 2014 .

[5]  Vicenç Puig,et al.  Methodology for leakage isolation using pressure sensitivity analysis in water distribution networks , 2011 .

[6]  Daniela Fuchs-Hanusch,et al.  Sensor Placement and Leakage Localization Considering Demand Uncertainties , 2014 .

[7]  Goldberg,et al.  Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.

[8]  Jordi Meseguer,et al.  Practical-Oriented Pressure Sensor Placement For Model-Based Leakage Location In Water Distribution Networks , 2014 .

[9]  Zoran Kapelan,et al.  Quo vadis water distribution model calibration? , 2009 .

[10]  Ling Qian,et al.  5th International Conference on Hydroinformatics , 2002 .

[11]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[12]  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).

[13]  Janos Gertler,et al.  Fault detection and diagnosis in engineering systems , 1998 .

[14]  Jorge Vento Maldonado,et al.  Leak Detection and Isolation in Pressurized Water Pipe Networks using Interval LPV Models , 2009 .

[15]  M. A. Brdys,et al.  Operational Control of Water Systems: Structures, Algorithms, and Applications , 1994 .

[16]  Vicenç Puig,et al.  A decision support system for on-line leakage localization , 2014, Environ. Model. Softw..

[17]  Enrique Cabrera,et al.  Leakage Assessment through Water Distribution Network Simulation , 2005 .

[18]  Ramon Pérez Magrané,et al.  Leakage location in water distribution networks based on correlation measurement of pressure sensors , 2011 .