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Projects: Projects for Investigator
Reference Number NIA_UKPN0085
Title Automated Tunnel and Shaft inspections
Status Completed
Energy Categories Other Power and Storage Technologies(Electricity transmission and distribution) 100%;
Research Types Applied Research and Development 100%
Science and Technology Fields PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 80%;
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 20%;
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Project Contact
No email address given
UK Power Networks
Award Type Network Innovation Allowance
Funding Source Ofgem
Start Date 01 October 2022
End Date 31 October 2023
Duration ENA months
Total Grant Value £250,000
Industrial Sectors Power
Region London
Programme Network Innovation Allowance
Investigators Principal Investigator Project Contact , UK Power Networks (99.998%)
  Other Investigator Project Contact , South Eastern Power Networks plc (0.001%)
Project Contact , UKPN London Power Networks plc (0.001%)
  Industrial Collaborator Project Contact , UK Power Networks (0.000%)
Web Site https://smarter.energynetworks.org/projects/NIA_UKPN0085
Objectives "A three phased approach is proposed: Desktop study to identify use cases; identify available technologies; and make recommendations to work with suppliers to support the research team carry out automated inspection demonstrator trials. Undertake trials. This may include use of lightweight automated vehicles with camera and sensor arrays, e.g. drones and tracked vehicles. Data analysis, interpretation of the data and peer review to confirm observations.Arup have carried out similar innovative automated tunnel data capture projects, with UAV and ROV suppliers for other asset owners including HS1 and CERN in other sectors." "The scope of the project will involve: Desktop study of existing data and records; Formulate specification to undertake the trials; Formulate Method statements and risk assessments to support site trials in tunnels; Carry out data interpretation and analysis report; Use data insights to identify opportunities for risk-based intervals for inspection and maintenance; Produce web-based dashboard for visualisation; Closedown report to provide recommendations and insight into adapting proposed and existing tunnel assets to better facilitate autonomous methods; and Dissemination of the output and knowledge sharing to other stakeholders and DNOs." "Objectives: To reduce the time and number of staff undertaking surveys in high risk environments; Undertake trials of remote survey techniques; and Enable condition degradation to be better understood and maintenance decisions made in a more targeted way. "
Abstract The Automated Tunnel and Shaft inspections project will develop a computer application that will compare images traditionally taken by specially trained tunnel entry authorised staff with images taken from remote surveys. These comparisons will generate automated reports allowing inspection and maintenance frequency periods to be optimised.
Publications (none)
Final Report (none)
Added to Database 01/11/23