Optimised Infra-Red Image Systems (OsIRIS)

Completed

Other Cross-Cutting Technologies or Research(Other Supporting Data)

Applied Research and Development

PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics)

Not Cross-cutting

Project Contact
National Grid Electricity Transmission

Network Innovation Allowance

Ofgem

01 October 2019

31 December 2020

ENA months

£228,000

Power

London

Network Innovation Allowance

Project Contact, National Grid Electricity Transmission

This project will solve this problem by reviewing the existing data, processes and tools used to collect infra-red images. This review will generate an uncertainty budget, which will quantify the possible levels of uncertainty within the system. Mitigations for the distinct sources of uncertainty will then be proposed. The project will cover the following items:WP1 – Literature & Reference Materials ReviewA detailed measurement review will encompass detailed observations of the protocol and process deployed by NGET, algorithms and systems employed, previous measurement results, calibration certificates and other pertinent sources of information. Based on this review a theoretical uncertainty assessment will be performed. WP2 – Development of an Uncertainty Budget An uncertainty budget for the measurement system will be created, quantifying the inputs and uncertainties from each component, and combining them together. This approach will be consistent with the ISO JCGM 100 “Evaluation of measurement data – Guide to the expression of uncertainty in measurement” (ISO/IECGuide 98-3). Mitigations will then be proposed to support the reduction of false positives due to the different sources of uncertainty. WP3 – Measurement of a Test ArtefactAn example asset will be tested in a laboratory conditions to identify key parameters which can affect the measurement of the surface temperature. This data collection will help improve the mitigations proposed in WP2. The objectives of this project are to:1. Understand the potential sources of uncertainty in our measurements in greater detail2. Propose mitigations to reduce uncertainty

Infra-red images are used to perform periodic inspections of transmission assets. These cameras provide a method of mitigating risk and identifying specific failure modes. Experience from collecting many infra-red images has highlighted that false positives can occur, which can lead to unnecessary additional follow on work to mitigate the perceived defect. This project will investigate the sources of intrinsic error within the systems that use infra-red image scans and identify methods to mitigate these errors. This will reduce the number of false positives and result in our Infra-red image systems being optimised.

09/11/22