Lead Research Organisation: University of Leeds
Department Name: Sch of Computing


The project aims to create a prototype multi-sensor device, and undertake fundamental enabling research, for the location of underground utilities by combining novel ground penetrating radar, acoustics and low frequency active and passive electromagnetic field (termed quasi-static field) approaches. The multi-sensor device is to employ simultaneously surface-down and in-pipe capabilities in an attempt to achieve the heretofore impossible aim of detecting every utility without local proving excavations. For example, in the case of ground penetrating radar (GPR), which has a severely limited penetration depth in saturated clay soils when deployed traditionally from the surface, locating the GPR transmitter within a deeply-buried pipe (e.g. a sewer) while the receiver is deployed on the surface has the advantage that the signal only needs to travel through the soil one way, thereby overcoming the severe signal attenuation and depth estimation problems of the traditional surface-down technique (which relies on two-way travel through complex surface structures as well as the soil). The quasi-static field solutions employ both the 50Hz leakage current from high voltage cables as well as the earth's electromagnetic field to illuminate the underground infrastructure. The MTU feasibility study showed that these technologies have considerable potential, especially in detecting difficult-to-find pot-ended cables, optical fibre cables, service connections and other shallow, small diameter services. The third essential technology in the multi-sensor device is acoustics, which works best in saturated clays where GPR is traditionally problematic. Acoustic technology can be deployed to locate services that have traditionally been difficult to discern (such as plastic pipes) by feeding a weak acoustic signal into the pipe wall or its contents from a remote location. The combination of these technologies, together with intelligent data fusion that optimises the combined output, in a multi-sensor device is entirely novel and aims to achieve a 100% location success rate without disturbing the ground (heretofore an impossible task and the 'holy grail' internationally).The above technologies are augmented by detailed research into models of signal transmission and attenuation in soils to enable the technologies to be intelligently attuned to different ground conditions, thereby producing a step-change improvement in the results. These findings will be combined with existing shallow surface soil and made ground 3D maps via collaboration with the British Geological Society (BGS) to prove the concept of creating UK-wide geophysical property maps for the different technologies. This would allow the users of the device to make educated choices of the most suitable operating parameters for the specific ground conditions in any location, as well as providing essential parameters for interpretation of the resulting data and removing uncertainties inherent in the locating accuracy of such technologies. Finally, we will also explore knowledge-guided interpretation, using information obtained from integrated utility databases being generated in the DTI(BERR)-funded project VISTA.



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Chen H (2010) Buried Utility Pipeline Mapping based on Street Survey and Ground Penetrating Radar in Frontiers in Artificial Intelligence and Applications

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Chen H (2011) Buried Utility Pipeline Mapping Based on Multiple Spatial Data Sources: A Bayesian Data Fusion Approach in Proceedings of the 22nd International Joint Conference on Artificial Intelligence

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Dou Q (2017) Real-Time Hyperbola Recognition and Fitting in GPR Data in IEEE Transactions on Geoscience and Remote Sensing

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Hao T (2012) Condition assessment of the buried utility service infrastructure in Tunnelling and Underground Space Technology

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Rogers C (2012) Condition assessment of the surface and buried infrastructure - A proposal for integration in Tunnelling and Underground Space Technology

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Royal A (2011) Site Assessment of Multiple-Sensor Approaches for Buried Utility Detection in International Journal of Geophysics

Description In this project at the University of Leeds we investigated how to interpret and integrate sensor data relating to observations of underground utility assets with a view to producing automated mapping of these assets. We have made advances along a number of fronts:

- new and better methods to interpret vibro acoustic data

- new and better methods to interpret Ground Pentrating Radar data

- new and better methods to interpret other electro magnetic wave sensor data

- new methods to combine the results of sensor interpretations to produce automated maps of buried utility apparatus
Exploitation Route The results of this project were used in the follow on Assessing the Underworld project (EP/K021699/1) and the EU FP7 NetTUN project (grant agreement 280712). Some of papers related to this project have been cited may times by researchers at other institutions. In general, we have provided methods to interpret sensor data, in particular GPR data, which is a very widely used sensor in multiple domains, not just underground utility detection (for example in tunnel boring machines, mine detection and other applications).
Sectors Construction,Transport,Other

Description We have conducted investigations with real world data for a utility survey company using our techniques with a view to help automate their utility surveys.
First Year Of Impact 2018
Sector Construction
Impact Types Economic

Description ATU
Amount £5,782,838 (GBP)
Funding ID EP/K021699/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 06/2013 
End 05/2017
Description Intelligent Excavation
Amount £164,000 (GBP)
Organisation Department of Transport 
Department Highways Agency
Sector Public
Country United Kingdom
Start 09/2017 
End 11/2017
Description Nettun
Amount € 9,974,600 (EUR)
Funding ID 280712 
Organisation European Commission 
Sector Public
Country European Union (EU)
Start 09/2012 
End 02/2017