公开(公告)号：US11281203B2

公开(公告)日：2022-03-22

申请号：US15737704

申请日：2016-06-29

Applicant: SUEZ GROUPE

Inventor： Guillaume Cussonneau ,  Pierre-Antoine Jarrige ,  Abel Dembele ,  Francis Campan

IPC: G05B23/02 ,  G05B13/04 ,  G05B17/02 ,  G05B13/02 ,  G06N20/00 ,  G06F30/20 ,  G06N7/00 ,  G06Q50/06 ,  G01N33/18 ,  G06F111/10

Abstract: 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.

公开(公告)号：US10571358B2

公开(公告)日：2020-02-25

申请号：US15328520

申请日：2015-07-23

Applicant: SUEZ GROUPE

Inventor： Francis Campan ,  Abel Dembele ,  Guillaume Cussonneau

IPC: G01M3/28 ,  G06F17/16 ,  G06F17/18

Abstract: Disclosed is a method for detecting anomalies in a distribution network equipped with sensors. The steps are: acquiring for each sensor a time series of physical measurements separated by time intervals; defining time windows each corresponding to a plurality of successive time intervals; extracting operational characteristics of each time series in each time window; forming, for each time window, at least one current vector having for coordinates the operational characteristics, structural data relating to the network and situational characteristics specific to the time window; comparing the current vector with preceding vectors corresponding to preceding time windows and the situational characteristics and structural data of which are similar to those of the current vector; and signalling an anomaly in cases where the current vector is significantly dissimilar to the preceding vectors.