Publication

Leakage detection and localization method based on a hybrid inverse/direct modelling approach suitable for handling multiple-leak scenarios

Conference Article

Conference

International Conference on Hydroinformatics (HIC)

Edition

11th

Doc link

http://academicworks.cuny.edu/cc_conf_hic/119

File

Download the digital copy of the doc pdf document

Abstract

When an accurate hydraulic network model is available, direct modeling techniques are very straightforward and reliable for on-line leakage detection and localization applied to large class of water distribution networks. Nonetheless, the assumption of single-leak scenarios is usually considered and may not hold in real applications. This paper presents a leakage detection and localization method suitable for multiple-leak scenarios in a large class of water distribution networks. This method can be seen as an upgrade of a direct-modeling approach in which a global search method based on Genetic Algorithms (GAs) has been integrated in order to estimate the water loss hotspots and their size. This is an inverse / direct modelling method which seeks to take benefit from both approaches: the exploration capability of GAs and the straightforwardness and reliability offered by the availability of an accurate hydraulic model. The application of the resulting method in a district metered area of the Barcelona water distribution network is provided and discussed.

Categories

control theory.

Author keywords

water networks, hydraulic models, leakage localization, genetic algorithms

Scientific reference

J. Meseguer, J.M. Mirats, G. Cembrano, E. Bonada and V. Puig. Leakage detection and localization method based on a hybrid inverse/direct modelling approach suitable for handling multiple-leak scenarios, 11th International Conference on Hydroinformatics, 2014, New York City.