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

Authors: Meseguer Amela, Jordi; Mirats Tur, Josep Maria; Cembrano Gennari, Gabriela; Puig Cayuela, Vicenç;

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 localisation may be performed efficiently, reducing the required time for detection/localization, by following a simple procedure.

This is an open access article under the CC BY-NC-ND license

Peer Reviewed

Keywords

Water Networks, Pressure Sensor, :Informàtica::Automàtica i control [Àrees temàtiques de la UPC], Pressure sensor, optimal sensor placement, Leakage localization, Water networks, control theory, Àrees temàtiques de la UPC::Informàtica::Automàtica i control, Hydraulic models, genetic algorithm, leakage localisation, pressure sensor, Hydraulic Models, Engineering(all), Optimal Sensor Placement, Genetic Algorithm, water networks, Classificació INSPEC::Control theory, hydraulic models, Genetic algorithm, :Control theory [Classificació INSPEC], Optimal sensor placement, Leakage Localization

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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OpenAIRE UsageCountsViews provided by UsageCounts
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