公开(公告)号：US20220275610A1

公开(公告)日：2022-09-01

申请号：US17632108

申请日：2020-08-03

Applicant: THE UNIVERSITY OF ADELAIDE

Inventor： Jessica Maria BOHORQUEZ AREVALO ,  Bradley James ALEXANDER ,  Angus R. SIMPSON ,  Martin F. LAMBERT

IPC: E03B7/00 ,  E03B7/07 ,  G01M3/28

Abstract: A method and system for real time monitoring of the condition of a pipeline is disclosed. The method comprises continuously monitoring transient pressure information of a fluid in the pipeline, selecting a time window of transient pressure information and processing the time window of transient pressure information to detect an anomaly in the pipeline.

公开(公告)号：US20220205956A1

公开(公告)日：2022-06-30

申请号：US17605678

申请日：2020-04-24

Applicant: THE UNIVERSITY OF ADELAIDE

Inventor： Mark Leslie STEPHENS ,  Luke DIX ,  Chi ZHANG ,  Jinzhe GONG ,  Benjamin CAZZOLATO ,  Martin F. LAMBERT

IPC: G01N29/12 ,  G01M3/24 ,  G01N33/2045 ,  E03B7/00 ,  E03B7/02

Abstract: Methods of processing a data signal obtained from a sensor sensing a dynamic signal to detect a structural anomaly event are disclosed. In one embodiment, a method includes obtaining signal components attributable to fluid flow at a location within an operational pipeline network; processing the data signal to extract one or more features; characterising the one or more extracted features; and detecting an indication of a structural anomaly event proximal the location depending on the characterisation; wherein the structural anomaly event includes an occurrence and/or further development of a structural anomaly.

公开(公告)号：US20220163420A1

公开(公告)日：2022-05-26

申请号：US17605680

申请日：2020-04-24

Applicant: THE UNIVERSITY OF ADELAIDE

Inventor： Mark Leslie STEPHENS ,  Luke DIX ,  Chi ZHANG ,  Jinzhe GONG ,  Benjamin CAZZOLATO ,  Martin F. LAMBERT

IPC: G01M3/24 ,  E03B7/00

Abstract: A method for detecting a structural anomaly in a pipeline supply network is disclosed where the pipeline supply network is configured to supply fluid to multiple receiving locations. The method comprises receiving acoustic signal data from a selected location in the pipeline supply network and generating a first time window of acoustic signal data based on the acoustic signal data. The method then includes benchmarking the first time window of acoustic signal data with respect to historical background acoustic signal data characterising the pipeline supply network to generate a corresponding background benchmarked first time window of acoustic signal data and then determining an anomaly measure for the background benchmarked first time window of acoustic signal data where the anomaly measure indicates a presence of the structural anomaly.