公开(公告)号：US20220057367A1

公开(公告)日：2022-02-24

申请号：US17414873

申请日：2019-10-31

Applicant: SUEZ GROUPE

Inventor： Karim CLAUDIO ,  Cyril LECLERC

IPC: G01N29/04 ,  G01B17/02 ,  G01N27/82 ,  G01N33/2045 ,  F17D5/06

Abstract: A computer-implemented method, computer program, and device for evaluating timed-based probabilities of failure of sections of a pipe network are provided. To do so, the pipe sections are clustered into classes based on structural and environmental parameters; within each class a sample of pipe sections are selected to be inspected. The scores that are obtained through the inspection are used to train a model of pipe conditions of pipes in a class, in order to estimate the pipe conditions of pipes that have not been inspected. The pipe conditions are used to parameterize a predictive model of pipe failures.