Site Assessment of Multiple-Sensor Approaches for Buried Utility Detection
The successful operation of buried infrastructure within urban environments is fundamental to the conservation of modern living standards. Open-cut methods are predominantly used, in preference to trenchless technology, to effect a repair, replace or install a new section of the network. This is, in...
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| Format: | Article |
| Language: | English |
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Wiley
2011-01-01
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| Series: | International Journal of Geophysics |
| Online Access: | http://dx.doi.org/10.1155/2011/496123 |
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| author | Alexander C. D. Royal Phil R. Atkins Michael J. Brennan David N. Chapman Huanhuan Chen Anthony G. Cohn Kae Y. Foo Kevin F. Goddard Russell Hayes Tong Hao Paul L. Lewin Nicole Metje Jen M. Muggleton Adham Naji Giovanni Orlando Steve R. Pennock Miles A. Redfern Adrian J. Saul Steve G. Swingler Ping Wang Christopher D. F. Rogers |
| author_facet | Alexander C. D. Royal Phil R. Atkins Michael J. Brennan David N. Chapman Huanhuan Chen Anthony G. Cohn Kae Y. Foo Kevin F. Goddard Russell Hayes Tong Hao Paul L. Lewin Nicole Metje Jen M. Muggleton Adham Naji Giovanni Orlando Steve R. Pennock Miles A. Redfern Adrian J. Saul Steve G. Swingler Ping Wang Christopher D. F. Rogers |
| author_sort | Alexander C. D. Royal |
| collection | DOAJ |
| description | The successful operation of buried infrastructure within urban environments is fundamental to the conservation of modern living standards. Open-cut methods are predominantly used, in preference to trenchless technology, to effect a repair, replace or install a new section of the network. This is, in part, due to the inability to determine the position of all utilities below the carriageway, making open-cut methods desirable in terms of dealing with uncertainty since the buried infrastructure is progressively exposed during excavation. However, open-cut methods damage the carriageway and disrupt society's functions. This paper describes the progress of a research project that aims to develop a multi-sensor geophysical platform that can improve the probability of complete detection of the infrastructure buried beneath the carriageway. The multi-sensor platform is being developed in conjunction with a knowledge-based system that aims to provide information on how the properties of the ground might affect the sensing technologies being deployed. The fusion of data sources (sensor data and utilities record data) is also being researched to maximize the probability of location. This paper describes the outcome of the initial phase of testing along with the development of the knowledge-based system and the fusing of data to produce utility maps. |
| format | Article |
| id | doaj-art-6074004fa3f24d8f95e8eb319bb06cbe |
| institution | Kabale University |
| issn | 1687-885X 1687-8868 |
| language | English |
| publishDate | 2011-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Geophysics |
| spelling | doaj-art-6074004fa3f24d8f95e8eb319bb06cbe2025-02-03T00:59:17ZengWileyInternational Journal of Geophysics1687-885X1687-88682011-01-01201110.1155/2011/496123496123Site Assessment of Multiple-Sensor Approaches for Buried Utility DetectionAlexander C. D. Royal0Phil R. Atkins1Michael J. Brennan2David N. Chapman3Huanhuan Chen4Anthony G. Cohn5Kae Y. Foo6Kevin F. Goddard7Russell Hayes8Tong Hao9Paul L. Lewin10Nicole Metje11Jen M. Muggleton12Adham Naji13Giovanni Orlando14Steve R. Pennock15Miles A. Redfern16Adrian J. Saul17Steve G. Swingler18Ping Wang19Christopher D. F. Rogers20School of Civil Engineering, University of Birmingham, Birmingham B15 2TT, UKSchool of Electronic, Electrical and Computer Engineering, University of Birmingham, Birmingham B15 2TT, UKInstitute of Sound and Vibration Research, University of Southampton, Southampton SO17 1BJ, UKSchool of Civil Engineering, University of Birmingham, Birmingham B15 2TT, UKSchool of Computing, University of Leeds, Leeds LS2 9JT, UKSchool of Computing, University of Leeds, Leeds LS2 9JT, UKSchool of Electronic, Electrical and Computer Engineering, University of Birmingham, Birmingham B15 2TT, UKSchool of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UKSchool of Civil Engineering, University of Birmingham, Birmingham B15 2TT, UKSchool of Civil Engineering, University of Birmingham, Birmingham B15 2TT, UKSchool of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UKSchool of Civil Engineering, University of Birmingham, Birmingham B15 2TT, UKInstitute of Sound and Vibration Research, University of Southampton, Southampton SO17 1BJ, UKDepartment of Electronic and Electrical Engineering, University of Bath, Bath BA2 7AY, UKDepartment of Electronic and Electrical Engineering, University of Bath, Bath BA2 7AY, UKDepartment of Electronic and Electrical Engineering, University of Bath, Bath BA2 7AY, UKDepartment of Electronic and Electrical Engineering, University of Bath, Bath BA2 7AY, UKDepartment of Civil and Structural Engineering, University of Sheffield, Sheffield S10 2TN, UKSchool of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UKSchool of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UKSchool of Civil Engineering, University of Birmingham, Birmingham B15 2TT, UKThe successful operation of buried infrastructure within urban environments is fundamental to the conservation of modern living standards. Open-cut methods are predominantly used, in preference to trenchless technology, to effect a repair, replace or install a new section of the network. This is, in part, due to the inability to determine the position of all utilities below the carriageway, making open-cut methods desirable in terms of dealing with uncertainty since the buried infrastructure is progressively exposed during excavation. However, open-cut methods damage the carriageway and disrupt society's functions. This paper describes the progress of a research project that aims to develop a multi-sensor geophysical platform that can improve the probability of complete detection of the infrastructure buried beneath the carriageway. The multi-sensor platform is being developed in conjunction with a knowledge-based system that aims to provide information on how the properties of the ground might affect the sensing technologies being deployed. The fusion of data sources (sensor data and utilities record data) is also being researched to maximize the probability of location. This paper describes the outcome of the initial phase of testing along with the development of the knowledge-based system and the fusing of data to produce utility maps.http://dx.doi.org/10.1155/2011/496123 |
| spellingShingle | Alexander C. D. Royal Phil R. Atkins Michael J. Brennan David N. Chapman Huanhuan Chen Anthony G. Cohn Kae Y. Foo Kevin F. Goddard Russell Hayes Tong Hao Paul L. Lewin Nicole Metje Jen M. Muggleton Adham Naji Giovanni Orlando Steve R. Pennock Miles A. Redfern Adrian J. Saul Steve G. Swingler Ping Wang Christopher D. F. Rogers Site Assessment of Multiple-Sensor Approaches for Buried Utility Detection International Journal of Geophysics |
| title | Site Assessment of Multiple-Sensor Approaches for Buried Utility Detection |
| title_full | Site Assessment of Multiple-Sensor Approaches for Buried Utility Detection |
| title_fullStr | Site Assessment of Multiple-Sensor Approaches for Buried Utility Detection |
| title_full_unstemmed | Site Assessment of Multiple-Sensor Approaches for Buried Utility Detection |
| title_short | Site Assessment of Multiple-Sensor Approaches for Buried Utility Detection |
| title_sort | site assessment of multiple sensor approaches for buried utility detection |
| url | http://dx.doi.org/10.1155/2011/496123 |
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