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RiverApp : mesure non-intrusive du débit des rivières au moyen d'une vidéo de l’écoulement, développement de l'application

Bombaert, Andreas
(2024)

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Bombaert_04291700_2024.pdf
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Details

Supervisors
Soares Frazao, Sandra
Faculty
Ecole polytechnique de Louvain
Degree label
Master [60] en sciences informatiques
Abstract
enIn many fields, knowledge of river discharge is essential. These include navigation, the design of hydraulic structures and river monitoring. In the context of climatic events (e.g. the floods of 2021), increasing river monitoring is essential for disaster prevention and damage management. This monitoring is based on a number of criteria, including knowledge of discharge. There are two types of methods for calculating discharge: intrusive and non-intrusive. As intrusive methods cannot be used during flood or low-water periods, it is important to develop effective non-intrusive techniques. This thesis follows on from those published in recent years on the study of PIV (Particle Image Velocimetry) and LSPIV (Large Scale Particle Image Velocimetry) analyses, and focuses more specifically on the development of a flow calculation application. Whereas these recent theses related to image-based discharge computation have focused mainly on analyzing the technologies used, the present work focuses primarily on the development of the new interface and the tools surrounding it. These tools are designed to improve the quality of development and to ease the use of the application, by deploying the load of heavy calculations on a server, as well as a testing strategy and complete, reliable documentation.