Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_NGET0215 | |
| Title | Automated assessment of steelwork condition using innovative imaging techniques | |
| 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) 30%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 70%; |
|
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact No email address given National Grid Electricity Transmission |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 September 2017 | |
| End Date | 31 July 2021 | |
| Duration | ENA months | |
| Total Grant Value | £300,000 | |
| Industrial Sectors | Power | |
| Region | London | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , National Grid Electricity Transmission (100.000%) |
| Industrial Collaborator | Project Contact , National Grid plc (0.000%) |
|
| Web Site | https://smarter.energynetworks.org/projects/NIA_NGET0215 |
|
| Objectives | ResearchA portable remote spectral imaging system designed for imaging wall paintings at archaeological sites will be applied to the monitoring of ET assets. The system is capable of automatic capture of images at stand-off distances of tens of metres as well as automatic post-processing of the images datasets for material identification and revealing hidden features for large area imaging at high resolution.The remote spectral imaging data could provide better spatial resolution than direct manual inspection and have the capabilities of distinguishing between types of corrosion and degree of corrosion. This distinction could significantly improves our understanding of deterioration, expected life, risks, and optimal repair and replacement time. The automated image/data processing methods developed for archaeology/conservation project can also be applied to corrosion detection and classification on ET assets.The monitoring system developed will be trialled in selected sites with different environmental conditions (e.g. coastal and inland) to demonstrate the ability of the quantitative data obtained from spectral imaging at gauging environmental risk to ET assets. A number of towers in different environmental conditions will be selected to trial this technique. Conventional high reslution visible light images will be taken and assessed in line with current practice. The same towers will also be imaged using infra-red spectroscopy and the images analysed using the automatic post-processing software developed by Nottingham Trent University. Samples of steel sections from the towers will be removed for detailed analysis of the degree of corrosion in the laboratory to assist with calibrating and testing the accuracy of the infra-red technique and enable a comparison with the accuracy of the current approach.The project aims to:1) trial of spectral imaging instruments and data analysis methods developed for science-based archaeology to the automatic detection of corrosion on ET assets2) detemine a metric from the imaging data that correlates with the degree of corrosion defined by NG standards with the potential to become a new industry standard;3) identify correlation between environmental factors and degree and type of corrosion;4) verify of the translation of the technology to ET asset.5) disseminate the method to the wider infrastructure management community through attending conferences, producing publications and organising workshops and networks;6) trial a version of the spectral imaging system to be used on a drone or handheld as well as one to operate at distances of 10-15m from a helicopter; these instruments can also be used during the demo workshops for the wider asset management community The research objective is to compare quantrify the accruacy and time required between the current process using visible light images and manual assessment with the new method using infra-red spectroscopy and automated image processing. | |
| Abstract | The overall aim of this project is to reduce the amount of time taken to analyse images of tower steelwork, improve the quality of the assessment and avoid overly conservative interpretations using an automated process of steelwork imaging analysis. | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 09/11/22 | |
