Rapport livrable ResiWater D3.3: Intégration d'informations hydrauliques pour la détection d'évènements anormaux

Abstract

The aim of work package 3 is the development of an enhanced self-learning monitoring and event detection module. In summary the principal items of work package 3 are: 1) Development of a data analysis platform for the integration of the heterogeneous sensor measurements 2) Development of self-learning monitoring and event detection algorithms. These algorithms will take into account the spatial distribution of the measurements. 3) Integration of online plausibility checks for the results of the algorithms 4) Deployment of tools for the launch of the enhanced event detection module. This deliverable describes the integration of hydraulic information into the event detection module with the aim to reduce the rate of false positive alarms. Three main concepts are proposed: - Use of backward transit time between two sensors; - Knowledge of source provenance; - Aggregation of clusters of similar water quality for spatial segmentation