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Abstract
This paper introduces two methodologies to provide an optimum sensor deployment layout, one based on a model-based approach and the other entirely data-driven. The first method is formulated as an integer optimization problem, an optimization criterion consisting of minimizing the average topological distance. The second method is a new methodology to provide an optimum sensor placement regarding how many sensors to install without using hydraulic information but just exploiting the knowledge of the topology of the Water Distribution Networks. The method uses the Girvan-Newman clustering algorithm to ensure complete coverage of the network and the study of the installation of pressure sensors in the central nodes of each group, selected according to different metrics of topological centrality. The approach is illustrated in the Modena network.
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Details
1 Supervision, Safety and Automatic Control Research Center (CS2AC) of the Universitat Politècnica de Catalunya , 08222 Terrassa, Barcelona , Spain; IMT Nord Europe, Université de Lille, CERI Digital Systems , F-59000 Lille , France
2 Supervision, Safety and Automatic Control Research Center (CS2AC) of the Universitat Politècnica de Catalunya , 08222 Terrassa, Barcelona , Spain; Institut de Robòtica i Informàtica Industrial (CSIC-UPC) , 08028 Barcelona , Spain; Serra Húnter Fellow, Automatic Control Department (ESAII), Universitat Politècnica de Catalunya (UPC) , 08019 Barcelona , Spain
3 IMT Nord Europe, Université de Lille, CERI Digital Systems , F-59000 Lille , France