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Projects: Projects for Investigator
Reference Number NIA_CAD0071
Title Intelligent Governor Surveying and Monitoring
Status Completed
Energy Categories Fossil Fuels: Oil Gas and Coal(Oil and Gas, Refining, transport and storage of oil and gas) 50%;
Other Cross-Cutting Technologies or Research(Other Supporting Data) 50%;
Research Types Applied Research and Development 100%
Science and Technology Fields PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 20%;
ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 80%;
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Project Contact
No email address given
Cadent Gas
Award Type Network Innovation Allowance
Funding Source Ofgem
Start Date 31 March 2021
End Date 28 February 2022
Duration ENA months
Total Grant Value £41,850
Industrial Sectors Energy
Region London
Programme Network Innovation Allowance
Investigators Principal Investigator Project Contact , Cadent Gas (100.000%)
Web Site https://smarter.energynetworks.org/projects/NIA_CAD0071
Objectives "To Research and provide a Proof of Concept (PoC) for an Artificial Intelligence model that can capture asset data attributes for the Governor asset class. It will provide an understating of the viability of utilising Cadent Asset Data, Ordnance Survey Roads Data and combining this with 360-degree HD image capture and intelligent asset attribute analysis.An initial group of 175 Governors will be surveyed with the 360 cameras in the area around Stafford. In parallel, an Artificial Intelligence (AI) model will be created for the collection and analysis of further gas governor management data utilising data captured from the 175 Governors to train the model. This model will then be tested against a further group of Governor assets. The model could be developed further should additional data be required in certain areas. Longer term, this model could be applied during national annual capture of specific areas to provide dynamic change intelligence with the cost of a dedicated manual capture process." "The Proof of Concept will be limited to the following scope: Initial identification of key Governor asset data attributes HD image capture and asset attribute analysis of the 175 gas governors in the Staffordshire area, as per shape file provided by Ordnance Survey. Access to supporting 360-degree HD imagery through Gaist HighwayView for reference as required by Cadent asset management team. Data provided in shape file or csv format for integration/use in OS or Cadent tools. It can also be viewed and used in Gaists AssetStream tool if required. Gaist will create the training dataset needed to develop a deep learning model to automatically detect the dynamic aspects of the data collection (visibility of signs, presence of graffiti, overgrown vegetation, etc.). Gaist will train a model on the data and analyse the accuracy of this AI model. The produced computer model needs to be able to analyse imagery of a gas governors and assess various attributes of it automatically. We will also understand its limitations and accuracy of the model to predict unseen data. The key output of the project will be an understanding of the viability of an AI model that utilises regular image capture to provide Cadent with an understanding of key Governor asset data attributes and changes to these over timeThe project will include the following stages: Project set up and asset attribute identification – 2 Weeks Survey and initial assessment – 4-6 Weeks Creating and testing of AI model – 3-4 Weeks Reporting on AI model – 2 Weeks Project closure and learnings – 2 WeeksIt is anticipated the following Governor Asset Data attributes will be included in the scope" "The key objectives of this project are: To survey and provide 360 HD Imagery of 175 Governors in the Stafford area To produce an AI model based of the HD imagery captured and asset attribute analysis To test the AI models ability to provide a holistic view of Governor asset data, combining location, asset health and asset risk data To provide a simple system and dashboard to access data and imagery Data curation and enrichment; providing data in a format that is useful to Cadent and can be integrated with current asset data to improve completeness and add value Ensure data can be easily extracted from systems and autonomously identify and detect changes to various asset data attributes Provide an understanding if an AI model can be used as an innovative way of working, lower costs improve efficiency and provide valuable services"
Abstract "Cadent have set up a Gas Governor Improvement Plan to review the condition of their <7bar Governor asset group. In the first instance there is a need to confirm the location and condition of the buildings (conditions covering multiple attributes). Typically, data on the condition of these assets would be captured by a field operative who would need to travel to each asset and manually capture key attributes. This would need to be completed regularly to ensure asset data and condition monitoring is up to date.A holistic view of Governor asset data is required, including location, asset health and asset risk data to make better asset management decisions. Some key problem areas that need to be identified across the governor asset group within the West Midlands are: Issues with the location data of Governor assets and proactive identification of assets compared to historical recordsNotes on Completion: Please refer to the appropriate NIA Governance Document to assist in thecompletion of this form. The full completed submission should not exceed 6 pages in total. Physical location information related to the assets (e.g. Compound, footway, verge etc.) Kiosk details and general state of repair Vandalism of assets e.g. Graffiti Correct vents on kiosks and state of repair of the vents Labelling present and correct on compounds or kiosks Impact protection of assets where required in safety critical locations Identification of changes to the environment to enable proactive site husbandry e.g. vegetation encroachment on assets Encroachment of buildings on to our assets Identification of standing water and possible water ingress points"
Publications (none)
Final Report (none)
Added to Database 18/10/23