Collecting, Representing, cOmpleting, merging and Querying heterogeneous and UncertaIn waStewater and stormwater network data

Public and private stakeholders of the wastewater and stormwater sectors are increasingly confronted with the analysis of massive heterogeneous data (imprecise and uncertain geographical data, digital/analogue maps, etc). Obtaining accurate and updated information on the underground wastewater networks is a cumbersome task especially in cities undergoing urban expansion.

This multidisciplinary project CROQUIS, designed through four work packages, aims to create a framework where researchers from Water Sciences and Artificial Intelligence will join forces in order to offer novel solutions for representing, merging, archiving, classifying, integrating domain knowledge, repairing and querying heterogeneous data capturing the main characteristics of wastewater and stormwater networks.

The consortium, composed of two partners from AI (CRIL : Centre de Recherche en Informatique de Lens, coordinator of this projet, and I3S : Laboratoire d’Informatique, Signaux et Systèmes de Sophia Antipolis) and a partner from Water Science (HSM : HydroSciences Montpellier), provides very complementary skills essential to achieving the objectives of the project.

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