Patents by Inventor Guillaume GANCEL

Guillaume GANCEL has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method for detecting anomalies in a distribution network, in particular a water distribution network
    Patent number: 10156465
    Abstract: A hydraulic model of the network is used that describes the structural data and the laws governing the distributed flows. The model is fed with operational data relative to primary input parameters and, using the model, theoretical values are obtained for primary output parameters. The theoretical values are compared with measured values. In case of a significant deviation, the corresponding primary output parameter becomes a secondary input parameter in an inverse model including new secondary output parameters, which are added relative to the direct model and which correspond to primary input parameters. The secondary output parameters are, by priority, those to which the primary output parameter exhibiting the abnormal value is particularly sensitive. If necessary, the method is implemented iteratively by progressively restricting the number of the secondary output parameters.
    Type: Grant
    Filed: July 23, 2015
    Date of Patent: December 18, 2018
    Assignee: SUEZ GROUPE
    Inventors: Pierre-Antoine Jarrige, Guillaume Gancel, Francis Campan
  • METHOD FOR DETECTING ANOMALIES IN A DISTRIBUTION NETWORK, IN PARTICULAR A WATER DISTRIBUTION NETWORK
    Publication number: 20170205267
    Abstract: A hydraulic model of the network is used that describes the structural data and the laws governing the distributed flows. The model is fed with operational data relative to primary input parameters and, using the model, theoretical values are obtained for primary output parameters. The theoretical values are compared with measured values. In case of a significant deviation, the corresponding primary output parameter becomes a secondary input parameter in an inverse model including new secondary output parameters, which are added relative to the direct model and which correspond to primary input parameters. The secondary output parameters are, by priority, those to which the primary output parameter exhibiting the abnormal value is particularly sensitive. If necessary, the method is implemented iteratively by progressively restricting the number of the secondary output parameters.
    Type: Application
    Filed: July 23, 2015
    Publication date: July 20, 2017
    Applicant: SUEZ GROUPE
    Inventors: Pierre-Antoine JARRIGE, Guillaume GANCEL, Francis CAMPAN