The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 22, 2022

Filed:

Jun. 29, 2016
Applicant:

Suez Groupe, Paris la Défense, FR;

Inventors:

Guillaume Cussonneau, Paris, FR;

Pierre-Antoine Jarrige, Montesson, FR;

Abel Dembele, Villeurbanne, FR;

Francis Campan, Antony, FR;

Assignee:

SUEZ GROUPE, Paris la Défense, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 23/02 (2006.01); G05B 13/04 (2006.01); G05B 17/02 (2006.01); G05B 13/02 (2006.01); G06N 20/00 (2019.01); G06F 30/20 (2020.01); G06N 7/00 (2006.01); G06Q 50/06 (2012.01); G01N 33/18 (2006.01); G06F 111/10 (2020.01);
U.S. Cl.
CPC ...
G05B 23/0259 (2013.01); G05B 13/0265 (2013.01); G05B 13/04 (2013.01); G05B 13/041 (2013.01); G05B 13/048 (2013.01); G05B 17/02 (2013.01); G06F 30/20 (2020.01); G06N 7/005 (2013.01); G06N 20/00 (2019.01); G01N 33/18 (2013.01); G06F 2111/10 (2020.01); G06Q 50/06 (2013.01);
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.


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