PIPELINE MONITORING SYSTEMS AND METHODS

• US 20160356665A1
• Filed: 06/02/2015
• Published: 12/08/2016
• Est. Priority Date: 06/02/2015
• Status: Abandoned Application

• Current Assignee: Umm Al-Qura University
• Original Assignee: Umm Al-Qura University
• Inventors: QAISAR, Saad Bin, SAEED, Husnain, SHEIKH, Adil Amjad Ashraf, FELEMBAN, Emad
• Application Number:
  US14/728,829
• Publication Number:
  US 20160356665A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01M 3/2807 for pipes G01M3/2892, G01M3/30 take precedence
• CPC Class Codes: G01M 3/2815 using pressure measurements

Abstract

A pipeline monitoring system and method include wireless sensor nodes positioned along a length of fluid transportation pipeline. Each of the wireless sensor nodes is configured to measure and classify sensor data collected from one or more associated sensors. The pipeline monitoring system also includes sink nodes interconnected to a respective base station. Each of the sink nodes is configured to analyze the classified sensor data and determine a size and location of a leakage within the fluid transportation pipeline. The pipeline monitoring system also includes a central-controlling infrastructure, interconnected to the base stations. The central-controlling infrastructure is configured to analyze leakage data from the base stations and implement a course of action in response to the analyzed leakage data.

Claims

1. A pipeline monitoring system, comprising:

a plurality of wireless sensor nodes positioned along a length of fluid transportation pipeline, wherein each of the plurality of wireless sensor nodes includes circuitry configured to measure and classify sensor data collected from one or more associated sensors;

one or more sink nodes interconnected to a respective base station, wherein each of the one or more sink nodes includes circuitry configured to analyze the classified sensor data and determine a size and location of a leakage within the fluid transportation pipeline; and

a central-controlling infrastructure, interconnected to the one or more base stations, wherein the central-controlling infrastructure includes circuitry configured to analyze leakage data from the one or more base stations and implement a course of action in response to the analyzed leakage data.

2. The pipeline monitoring system of claim 1, wherein the fluid transportation pipeline and the plurality of wireless sensor nodes are located above a ground level.

3. The pipeline monitoring system of claim 1, wherein the fluid transportation pipeline and the plurality of wireless sensor nodes are located below a ground level.

4. The pipeline monitoring system of claim 1, wherein each of the one or more sink nodes receives classified sensor data from a nearby subset of the plurality of wireless sensor nodes.

5. The pipeline monitoring system of claim 1, wherein each of the plurality of wireless sensor nodes includes a learned classifier to distinguish leakage signals from normal signals.

6. The pipeline monitoring system of claim 1, wherein the one or more associated sensors are configured to measure sensory information from one or more of pressure, temperature, corrosion, stress, and thermal imaging data of the fluid transportation pipeline.

7. The pipeline monitoring system of claim 1, further comprising:

circuitry configured to harvest energy to power the plurality of wireless sensor nodes and the one or more base stations.

8. The pipeline monitoring system of claim 1, wherein the circuitry of the plurality of wireless sensor nodes is further configured to transmit the collected sensor data of each wireless sensor node to a neighboring wireless sensor node, and subsequently transmit the collected sensor data to a nearest sink node.

9. A method of monitoring a pipeline, comprising:

measuring sensory information of fluid flowing through the pipeline via a plurality of sensors;

extracting and processing leakage-related data from the measured sensory information via a plurality of associated sensor nodes at a first tier level;

classifying the leakage-related data according to a potential leak in the pipeline via the plurality of associated sensor nodes;

determining a size and location of a true leak from the classified leakage-related data via a sink node;

responding to the determination of the size and location of the true leak via a local base station at a second tier level; and

forwarding the determination of the size and location of the true leak to a central processing infrastructure for a system-wide processing at a third tier level.

10. The method of claim 9, wherein the determining a size and location of a true leak includes capturing a temporal pattern of pressure measurements from a group of adjacent sensor nodes.

11. The method of claim 9, wherein the responding to the determination of the size and location of the true leak includes sounding an alarm.

12. The method of claim 9, wherein the pipeline includes an above-ground level pipeline monitoring system.

13. The method of claim 9, wherein the pipeline includes an underground level pipeline monitoring system.

14. The method of claim 9, wherein the measuring sensory information includes measuring one or more of pressure, temperature, corrosion, stress, and thermal imaging data of the fluid flowing through the pipeline.

15. The method of claim 9, further comprising:

communicating between individual sensor nodes of the plurality of associated sensor nodes via a wireless sensor network; and

communicating between the local base station and the central processing infrastructure via a wireless transmission channel.

16. The method of claim 15, further comprising:

harvesting energy to power the plurality of associated sensor nodes and the local base station.

17. The method of claim 9, further comprising:

determining a total number of sink nodes across a length of the pipeline based upon one or more factors of a size, location, geographical conditions, and terrain of a layout of the pipeline.

18. A means of monitoring a pipeline, comprising:

a means of measuring sensory information of fluid flowing through the pipeline;

a means of extracting and processing leakage-related data from the measured sensory information;

a means of classifying the leakage-related data according to a potential leak in the pipeline;

a means of determining a size and location of a true leak from the classified leakage-related data;

a means of responding to the determination of the size and location of the true leak; and

a means of forwarding the determination of the size and location of the true leak to a central processing infrastructure for a system-wide processing.

19. The means of claim 18, wherein the pipeline includes an underground pipeline.

20. The means of claim 18, wherein the pipeline includes an above-ground pipeline.