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On image fusion of ground surface vibration for mapping and locating underground pipeline leakage: an experimental investigation

On image fusion of ground surface vibration for mapping and locating underground pipeline leakage: an experimental investigation
On image fusion of ground surface vibration for mapping and locating underground pipeline leakage: an experimental investigation
This paper is concerned with imaging techniques for mapping and locating underground pipeline leakage. Ground surface vibrations induced by the propagating axisymmetric wave can be measured by an array of acoustic/vibration sensors, with the extraction of magnitude information used to determine the position of leak source. A method of connected graph traversal is incorporated into the vibroacoustic technique to obtain the spatial image with better accuracy compared to the conventional magnitude contour plot. Measurements are made on a dedicated cast iron water pipe by an array of seven triaxial geophones. The spectral characteristics of the propagation of leak noise signals from underground water pipes to the ground surface are reported. Furthermore, it is demonstrated that suspicious leakage areas can be readily identified by extracting and fusing the feature patterns at low frequencies where leak noise dominates. The results agree well with the real leakage position in the underground pipeline.
connected graph traversal, ground surface vibration, leakage detection, pipeline leakage, sensor array
1424-8220
Yan, Shuan
f105cfe6-60a1-4cdd-be68-dbbf0970f850
Yuan, Hongyong
8e6b0445-f462-417c-98f0-5941302f7869
Gao, Yan
23154085-596b-483e-8c31-79916fca87ea
Jin, Boao
5a067309-acd7-4902-9904-745797920c1a
Muggleton, Jennifer
2298700d-8ec7-4241-828a-1a1c5c36ecb5
Deng, Lizheng
d43528fe-126f-470e-b942-b054307cbcf8
Yan, Shuan
f105cfe6-60a1-4cdd-be68-dbbf0970f850
Yuan, Hongyong
8e6b0445-f462-417c-98f0-5941302f7869
Gao, Yan
23154085-596b-483e-8c31-79916fca87ea
Jin, Boao
5a067309-acd7-4902-9904-745797920c1a
Muggleton, Jennifer
2298700d-8ec7-4241-828a-1a1c5c36ecb5
Deng, Lizheng
d43528fe-126f-470e-b942-b054307cbcf8

Yan, Shuan, Yuan, Hongyong, Gao, Yan, Jin, Boao, Muggleton, Jennifer and Deng, Lizheng (2020) On image fusion of ground surface vibration for mapping and locating underground pipeline leakage: an experimental investigation. Sensors, 20 (7), [1896]. (doi:10.3390/s20071896).

Record type: Article

Abstract

This paper is concerned with imaging techniques for mapping and locating underground pipeline leakage. Ground surface vibrations induced by the propagating axisymmetric wave can be measured by an array of acoustic/vibration sensors, with the extraction of magnitude information used to determine the position of leak source. A method of connected graph traversal is incorporated into the vibroacoustic technique to obtain the spatial image with better accuracy compared to the conventional magnitude contour plot. Measurements are made on a dedicated cast iron water pipe by an array of seven triaxial geophones. The spectral characteristics of the propagation of leak noise signals from underground water pipes to the ground surface are reported. Furthermore, it is demonstrated that suspicious leakage areas can be readily identified by extracting and fusing the feature patterns at low frequencies where leak noise dominates. The results agree well with the real leakage position in the underground pipeline.

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Accepted/In Press date: 26 March 2020
Published date: 1 April 2020
Additional Information: Funding Information: Author Contributions: S.Y. carried out investigation and wrote the article; S.Y. and B.J. conducted the experiments; Author Contributions: S.Y. carried out investigation and wrote the article; S.Y. and B.J. conducted the experimental data in the Appendix. All authors have read and agreed to the published version of the manuscript. experiments; Y.G. and H.Y supervised the work and revised the article; L.D. revised the article. All authors read Funding: This research was funded by the National Natural Science Foundation of China (under Grant 11774378), the Ministry of Science and Technology of the People’s Republic of China (under Grant 2018YFC0806900), and Acknowledgments: The authors gratefully acknowledge the support of the National Natural Science Foundation of China (under Grant 11774378), the Ministry of Science and Technology of the People’s Republic of China (under Grant 2018YFC0806900), and Beijing Key Laboratory of City Integrated Emergency Response Science. Funding Information: Funding: This research was funded by the National Natural Science Foundation of China (under Grant 11774378), the Ministry of Science and Technology of the People’s Republic of China (under Grant 2018YFC0806900), and Beijing Key Laboratory of City Integrated Emergency Response Science. Funding Information: Acknowledgments: The authors gratefully acknowledge the support of the National Natural Science Foundation of China (under Grant 11774378), the Ministry of Science and Technology of the People’s Republic of China (under Grant 2018YFC0806900), and Beijing Key Laboratory of City Integrated Emergency Response Science. Publisher Copyright: © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords: connected graph traversal, ground surface vibration, leakage detection, pipeline leakage, sensor array

Identifiers

Local EPrints ID: 439134
URI: http://eprints.soton.ac.uk/id/eprint/439134
ISSN: 1424-8220
PURE UUID: 27fd5dc9-526a-47b0-8d3e-54b481628e82

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Date deposited: 06 Apr 2020 16:30
Last modified: 16 Mar 2024 07:16

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Contributors

Author: Shuan Yan
Author: Hongyong Yuan
Author: Yan Gao
Author: Boao Jin
Author: Lizheng Deng

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