Virtual OHL Inspections: Combining Statutory Inspection & Condition Based Assessment (CBA)
Reference Number
NIA_SPEN_0063
Title
Virtual OHL Inspections: Combining Statutory Inspection & Condition Based Assessment (CBA)
Status
Completed
Energy Categories
Other Cross-Cutting Technologies or Research
Other Power and Storage Technologies(Electricity transmission and distribution)
Other Power and Storage Technologies(Electricity transmission and distribution)
Research Types
Applied Research and Development
Science and Technology Fields
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering)
UKERC Cross Cutting Characterisation
Not Cross-cutting
Principal Investigator
Project Contact
SPEN - SP Distribution Plc
SPEN - SP Distribution Plc
Award Type
Network Innovation Allowance
Funding Source
Ofgem
Start Date
01 October 2021
End Date
31 January 2022
Duration
ENA months
Total Grant Value
£110,000
Industrial Sectors
Power
Region
Scotland
Programme
Network Innovation Allowance
Industrial Collaborator
Project Contact, SP Energy Networks
Web Site
Objectives
Update asset model Gather historical images for missing danger plates Agree trial area image capture guidelines & plan flights Set-up environment Initiate missing danger plate AI Carry out image capture (drone) flights Install Grid Vision & fine tune AI Grid Vision training Carry out virtual inspection and gather feedback. Test missing danger plate AI model Fine tune business case Present final report Defect detection on test areas of network via virtual inspection including the following artificial intelligence modules:Broken insulatorContaminated insulatorCracked poleConductor strand damageFlashed insulatorWoodpecker damageMissing danger plate (new)Full report on OPEX savings, artificial intelligence detection of above and role of digitized defect data in predictive maintenance. Report demonstrating optimal approach to combine statutory & condition based assessment inspections via virtual inspections. To include detailed approach to optimise OPEX savings and utilise digital condition data (including identified from artificial intelligence) in future network planning.
Abstract
This p[roject will assess and trial the use of drones to carry out condition-based monitoring on the OHL network.
Data
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Projects
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Publications
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Added to Database
02/11/22
