Pipeline fault detection system, sensor head and method of detecting pipeline faults

• US 10,094,732 B2
• Filed: 05/11/2012
• Issued: 10/09/2018
• Est. Priority Date: 05/11/2011
• Status: Active Grant

• Current Assignee: Syrinix Limited (Badger Meter Incorporated)
• Original Assignee: Syrinix Limited (Badger Meter Incorporated)
• Inventors: Linford, Paul
• Primary Examiner(s): Caputo, Lisa
• Assistant Examiner(s): Sinha, Tarun
• Application Number:
  US14/116,276
• Publication Number:
  US 20140165731A1
• Time in Patent Office: 2,342 Days
• Field of Search: 73592
• CPC Class Codes: F17D 1/08 for liquids or viscous products water-main or service pipe systems E03B7/04; domestic hot-water supply systems F24D17/00
• CPC Class Codes: F17D 5/00 Protection or supervision of installations arrangements for protecting foundations E02D31/00; protecting pipes from damage or internal or external wear F16L57/00, against corrosion and scale F16L58/00; investigation of the fluid-tightness of structures G01M3/00
• CPC Class Codes: F17D 5/06 using electric or acoustic means
• CPC Class Codes: G01M 3/00 Investigating fluid-tightness of structures
• CPC Class Codes: G01M 3/243 for pipes
• CPC Class Codes: G01N 2291/2634 cylindrical from outside
• CPC Class Codes: G01N 29/024 by measuring propagation velocity or propagation time of acoustic waves
• CPC Class Codes: G01N 29/07 by measuring propagation velocity or propagation time of acoustic waves
• CPC Class Codes: G01N 29/14 using acoustic emission techniques echo of particles G01N29/046; measuring mechanical vibrations or acoustic waves in solids in general G01H1/00
• CPC Class Codes: G01N 29/4436 with a reference signal amplitude comparison G01N29/48
• CPC Class Codes: G01N 29/4472 Mathematical theories or simulation
• CPC Class Codes: G01N 29/46 by spectral analysis, e.g. Fourier analysis or wavelet analysis spectral signal processing per se G06F17/14

Abstract

A pipeline fault detection system, method and sensor head suitable for use in the system are disclosed. The system comprises a vibro-acoustic sensor connectable to a fluid path of a pipeline and a remote monitoring system, the sensor being operable to measure one or more predetermined vibro-acoustic properties of the fluid and/or fluid path and communicate data on said measurements to the remote monitoring system, the remote monitoring system being arranged to monitor said data over time and being further arranged to screen the monitored data for characteristics representing a fault type to identify occurrence of a fault type in the pipeline.

Claims

1. A trunk mains pipeline fault detection system comprising a vibro-acoustic sensor connectable to a fluid path of a trunk mains pipeline and a remote monitoring system, the sensor being operable to measure, for a plurality of days and for a predetermined time period each day, the predetermined time period being less than 24 hours, one or more predetermined vibro-acoustic properties of the fluid and/or fluid path of the trunk mains pipeline when the trunk mains pipeline is online and under normal operating conditions so as to avoid interruption of a supply of water through the trunk mains pipeline and communicate data on each day'"'"'s measurements to the remote monitoring system, the remote monitoring system being arranged to monitor said data over time to build a representation of gradual changes in said pipeline'"'"'s characteristics from the monitored data over said plurality of days and being further arranged to screen one or more of the representation and the monitored data for characteristics representing a fault type to identify occurrence of a fault type in the pipeline, wherein the representation of gradual changes in said pipeline'"'"'s characteristics built from the monitored data over said plurality of days is a function of the monitored data from the predetermined time periods each being less than 24 hours.

2. The pipeline fault detection system of claim 1, further comprising a reference model encoding parameters on the pipeline under operating conditions which avoid interruption of the supply of water through the trunk mains pipeline, the remote monitoring system being arranged to screen the monitored data for said characteristics of a fault type in dependence on the reference model.

3. The pipeline fault detection system of claim 1, further comprising a further vibro-acoustic sensor, the vibro-acoustic sensor and the further vibro-acoustic sensor being a sensor pair and encapsulating a section of the pipeline between them to measure one or more predetermined vibro-acoustic properties of the fluid and/or fluid path and communicate data on said measurements to the remote monitoring system.

4. The pipeline fault detection system of claim 3, wherein the remote monitoring system is arranged to perform signal correlation and filtering on data received from a sensor pair to screen for said characteristics.

5. The pipeline fault detection system of claim 4, wherein the remote monitoring system is arranged to estimate the velocity of acoustic waves propagating through the pipe in dependence on said received data from a sensor pair and on a measure of the distance along the pipeline that is between the sensors of the sensor pair.

6. The pipeline fault detection system of claim 1, wherein the vibro-acoustic sensor is mounted in a sensor head, the sensor head further comprising a geophone connected to a skin of the pipe and arranged to arranged to measure velocity of signals in the skin of the pipe and communicate data on said velocity of signals to the remote monitoring system, the sensor head further comprising a pressure sensor arranged to monitor fluid pressure and communicate data on said fluid pressure to the remote monitoring system.

7. The pipeline fault detection system of claim 6, further comprising a flow meter arranged to communicate data on fluid flow in the pipeline to the remote monitoring system, wherein the remote monitoring system is arranged to monitor for bursts in the pipeline in dependence on data from the flow meter and on data on the fluid pressure.

8. The pipeline fault detection system of claim 6, wherein the remote monitoring system is arranged to monitor for transient events in dependence on rate of change of pressure measured by said pressure sensor.

9. The pipeline fault detection system of claim 7, wherein the remote monitoring system is arranged to cross check a detected transient event against any data received from a flow meter to exclude the transient event being a pipe burst event.

10. The pipeline fault detection system of claim 1, further comprising a remote unit connected to the sensor via a data cable, the remote unit including a data communication system arranged to receive data on said measurements via said data cable from the sensor and arranged to communicate data on said measurements to the remote monitoring system.

11. The pipeline fault detection system of claim 1, wherein the or each vibro-acoustic sensor comprises a hydrophone.

12. The pipeline fault detection system of claim 1, wherein at least selected ones of the sensors perform measurements substantially continuously over at least a predetermined period and are arranged to collate data on said measurements and communicate said data to the remote monitoring system on a periodic basis.

13. The pipeline fault detection system of claim 11, wherein upon data of a predetermined characteristic being detected, the or each sensor being arranged to communicate data on the predetermined characteristic with the remote monitoring system outside of the periodic basis.

15. The sensor head of claim 13, wherein the sensor head when connected to the fluid path is also connected to a skin of the pipe, the sensor head further comprising a geophone arranged to measure velocity of signals in the skin of the pipe, wherein the sensor head when connected to the fluid path is also connected to a skin of the pipe, the sensor head further comprising an accelerometer arranged to measure velocity of signals in the skin of the pipe and a pressure sensor.

19. The pipeline fault detection system of claim 1, wherein the sensor is configured to record the data on the measurements during the predetermined period of time and subsequently upload the data to the remote monitoring system after the predetermined period of time.

20. The pipeline fault detection system of claim 1, wherein the remote monitoring system is configured to screen one or more of the representation and the monitored data for characteristics representing a fault type that are consistently present in the monitored data over said plurality of days.

14. A sensor head including a body connectable to a fluid path passing through a pipe of a trunk mains pipeline, the sensor head including a hydrophone arranged to be in direct contact with fluid when the body is connected to the fluid path, the hydrophone being configured to measure, for a plurality of days and for a predetermined time period each day, the predetermined time period being less than 24 hours, one or more predetermined vibro-acoustic properties of the fluid and/or fluid path of the trunk mains pipeline when the trunk mains pipeline is online and under normal operating conditions so as to avoid interruption of a supply of water through the trunk mains pipeline, the sensor head being arranged to communicate data on each day'"'"'s measurements to a remote monitoring system for building a representation of gradual changes in said pipeline'"'"'s characteristics from the monitored data over said plurality of days, wherein building of the representation of gradual changes in said pipeline'"'"'s characteristics from the monitored data over said plurality of days is a function of the monitored data from the predetermined time periods each being less than 24 hours.

16. The sensor head of claim 14, further comprising a heating system configured to heat the sensor head.

17. A method of detecting fault events in a trunk mains pipeline comprising:

measuring for a plurality of days and for a predetermined time period each day, the predetermined time period being less than 24 hours, using a vibro-acoustic sensor connected to a trunk mains pipeline having a fluid moving in a fluid path, one or more predetermined vibro-acoustic properties of the fluid and/or fluid path of the trunk mains pipeline when the trunk mains pipeline is online and under normal operating conditions so as to avoid interruption of a supply of water through the trunk mains pipeline;

communicating data on each day'"'"'s measurements to a remote monitoring system;

monitoring said data over time;

building a representation of gradual changes in said pipeline'"'"'s characteristics from the monitored data over said plurality of days, wherein the building of the representation of gradual changes in said pipeline'"'"'s characteristics from the monitored data over said plurality of days is a function of the monitored data from the predetermined time periods each being less than 24 hours; and

screening the one or more of the representation and the monitored data for characteristics representing a fault type to identify occurrence of a fault event in the pipeline.

18. The method of claim 17, further comprising predicting the occurrence of a future fault event in dependence on one or more of the representation or the monitored data.