Topological analysis of water distribution networks for optimal leak localization

Autor:	Alves, Débora Cristina Costa da Silva, Blesa Izquierdo, Joaquim, Duviella, Eric, Rajaoarisoa, Lala H.
Přispěvatelé:	Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
Rok vydání:	2023
Předmět:	Artificial intelligence Aigua--Distribució Informàtica [Àrees temàtiques de la UPC] Water - Distribution Leak localization General Medicine General Chemistry Data-driven Water distribution network Sensor placement
Zdroj:	IOP Conference Series: Earth and Environmental Science. 1136:012043
ISSN:	1755-1315 1755-1307
DOI:	10.1088/1755-1315/1136/1/012043
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2193f2b9e39f64a395cc27a77e320c7 https://doi.org/10.1088/1755-1315/1136/1/012043 Zobrazit plný text záznamu