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
Authors
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Meseguer Amela, Jordi
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Mirats Tur, Josep Ma.
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Cembrano Gennari, Gabriela
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Bonada, Eduard
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Puig Cayuela, Vicenç
Projects associated
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.
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