QT-MIBA
Quantum Technology - Mapping and Map Integration for Buried Assets
About the project
QT- MIBA is a Innovate UK funded project and a collaboration between Northumbrian Water, the Ordnance Survey, RSK, Rahko and the University of Birmingham, to carry out a feasibility study to assess how novel processing approaches of data from quantum technology (QT) sensors using Artificial Intelligence (AI), deep learning and quantum machine learning can be utilised to enhance and possibly accelerate the inversion process to provide three dimensional coordinates of buried utility assets. This will be combined with data fusion from traditional geophysical sensors. This will yield three-dimensional information on the location of buried utility assets.
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The motivation of QT-MIBA is to address the accidental strikes on underground utility pipes and cables that cost the country £1.2bn a year as well as reducing the traffic delays caused by utility streetworks estimated as 6.16 million days of work lost between 2014-2015. It will also prevent incidents of workers accidentally hitting gas and electric pipes and thereby endangering their lives and interrupting supply of services to customers.
