Site Assessment of Multiple-Sensor Approaches for Buried Utility Detection

Royal, A. C. D., Atkins, P. R., Brennan, M. J., Chapman, D. N., Chen, H., Cohn, A. G., Foo, K. Y., Goddard, K. F., Hayes, R., Hao, T., Lewin, P. L., Metje, N., Muggleton, J. M., Naji, A., Orlando, G., Pennock, S. R., Redfern, M. A., Saul, A. J., Swingler, S. G., Wang, P. and Rogers, C. D. F. (2011) Site Assessment of Multiple-Sensor Approaches for Buried Utility Detection. International Journal of Geophysics, 2011 . 496123/1-496123/19. ISSN 1687-8868

Download

Preview

Published Version PDF 4Mb

Abstract

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 amulti-sensor geophysical platformthat 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.

Item Type:	Article
Creator/Authors:	A C D Royal P R Atkins M J Brennan D N Chapman H Chen A G Cohn K Y Foo K F Goddard R Hayes T Hao P L Lewin N Metje J M Muggleton A Naji G Orlando S R Pennock M A Redfern A J Saul S G Swingler P Wang C D F Rogers
Research Group:	Current ECS Groups > Electronics and Electrical Engineerineering > High Voltage Laboratory Current ECS Groups > Electronics and Electrical Engineerineering Old ECS Groups > Electrical Power Engineering
ISSN:	1687-8868
Date:	25 July 2011
Information about this record:
Performance Indicator:	EZ~21~04~11
ID Code:	22605
Last Modified:	23 Sep 2011 10:41
Deposited On:	29 Jul 2011 11:23 by Lewin, Paul

Tools & Metadata

Download Statistics

Members of ECS may view the download statistics dashboard for this record.

Corrections

ECS staff and postgraduates may modify this record