Division of Water Supply Systems into District Metered Areas Using a Multi-agent Based Approach

Technical management of large water supply systems (WSS) is an increasingly complex problem. Water companies managing these systems have witnessed how the mathematical models of their networks lose accuracy and their engineering tools become obsolete. Consequently, they have no clear vision of the balance between production and distribution, that is to say, between supply and demand. As a result, water companies are interested in improving the control and management of their networks. One of the methods attracting great interest is that of division into DMAs (district metered areas). Division into DMAs splits an interconnected and intricate network into smaller, virtually independent sub-networks that can be better managed. However, the complexity of the problem of creating DMAs demands efficient techniques. In this contribution we use a multi-agent based approach that takes advantage of the distributed nature of WSS.

[1]  Kenwood H. Hall,et al.  Real time collaborative intelligent solutions , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[2]  Manuela M. Veloso,et al.  Multiagent Systems: A Survey from a Machine Learning Perspective , 2000, Auton. Robots.

[3]  Joaquín Izquierdo,et al.  Predictive models for forecasting hourly urban water demand , 2010 .

[4]  Victor H. Alcocer-Yamanaka,et al.  Graph Theory Based Algorithms for Water Distribution Network Sectorization Projects , 2008 .

[5]  Alexis Drogoul,et al.  Multi-agent Based Simulation: Where Are the Agents? , 2002, MABS.

[6]  SINUSE: a multi-agent model to negotiate water demand management on a free access water table , 2003, Environ. Model. Softw..

[7]  Idel Montalvo,et al.  Scrutinizing Changes in the Water Demand Behavior , 2009 .

[8]  Dan Carnahan,et al.  Multi-agent control system for a municipal water system , 2006 .

[9]  Martin Held,et al.  On the Computational Geometry of Pocket Machining , 1991, Lecture Notes in Computer Science.

[10]  Olivier Barreteau,et al.  CatchScape: An Integrated Multi-Agent Model for Simulating Water Mana at the Catchment Scale, A Northern Thailand Case Study , 2001 .

[11]  Atakelty Hailu,et al.  Multi-Unit Auctions to Allocate Water Scarcity Simulating bidding behaviour with agent based models , 2005 .

[12]  Xiao Feng,et al.  Pinch multi-agent genetic algorithm for optimizing water-using networks , 2007, Comput. Chem. Eng..

[13]  Francisco P. Maturana,et al.  Agent-Based Control of a Municipal Water System , 2005, CEEMAS.

[14]  Idel Montalvo,et al.  Agent-based Division of Water Distribution Systems into District Metered Areas , 2009, ICSOFT.

[15]  Gerhard Weiss,et al.  Multiagent systems: a modern approach to distributed artificial intelligence , 1999 .

[16]  Jaime Simão Sichman,et al.  Multi-Agent-Based Simulation II , 2003, Lecture Notes in Computer Science.

[17]  Raymond S. T. Lee Fuzzy-neuro approach to agent applications : from the AI perspective to modern ontology , 2006 .

[18]  O Hunaidi Economic Comparison of Periodic Acoustic Surveys and DMA- based Leakage Management Strategies , 2005 .

[19]  Liu Hai-bo,et al.  Multi-agent immune recognition of water mine model , 2005 .

[20]  Idel Montalvo,et al.  Towards the visualization of water supply system components with GPR images , 2011, Math. Comput. Model..

[21]  Mihaela Oprea,et al.  Water pollution diagnosis with a multi-agent approach , 2007 .

[22]  Michael Wooldridge,et al.  Introduction to multiagent systems , 2001 .