Rapport livrable ResiWater D1.2 : Investigation de cas d'étude en utilisant des réseaux sécurisés de capteurs et des outils de surveillance par auto-apprentissage

Abstract

The core of Resiwater project is the development of new sensors and secured sensor networks, self- learning monitoring tools, robust simulation models and vulnerability and resilience assessment tools. To ensure realistic and relevant application on field for water suppliers the project is end user oriented. Increasing the resilience of water distribution systems is a strong target of the project. Consequently the benefits of developed tools have to be investigated and assessed by the perspective of realistic water distribution system failures. Therefore, WP1 aims to specify the use cases with scenarios for each end user (WP1.1) to evaluate vulnerability and resilience of a Water Distribution System (WDS) for the use cases (WP1.3) and to evaluate new tools of the project by the mean of the use cases (WP1.2) as described in the present report. First, the test results for online water quality measurement at the TZW scale network are reported. Then, the self-learning methods and tools are tested for different configurations at the ResiWater three water utility