Suez Groupe

Suez International

Abel Dembele

Guillaume Cussonneau

Francis Campan

Pierre-Antoine Jarrige

A method for the detection of anomalies in a networked water distribution system is provided. It improves detection methods based on an iterative modification of control variables of the network, by determining a reduced set of entities of the water distribution network on which control variables should be iteratively modifier. The invention increases the computing costs, and the reliability of such methods of detecting anomalies in a water distribution system.

Combined method for detecting anomalies in a water distribution system

A method and a system for detecting anomalies in a water distribution system comprises a network of nodes, and is equipped with sensors of at least water velocity at a subset of the nodes. The water distribution system is modeled by a hydraulic model. The method comprises parametrizing the hydraulic model with initial values of a set of control variables, using the sensors to obtain values of state variables of the network at the nodes, using the hydraulic model to calculate predicted values of state variables, recursively calculating the values of control variables which, applied to the hydraulic model, permit to obtain the predicted values of state variables the closest to the observed values, and classifying nodes of the network based on the values of control variables.

Method for detecting anomalies in a water distribution system

Disclosed is a method for detecting anomalies in a distribution network equipped with sensors. The steps are:

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Villeurbanne, France

Abel Dembele