Towards extracting 3-D structural representations of AGR core fuel channels from 2-D in-core inspection videos
Law, Kristofer and West, Graeme and Murray, Paul and Lynch, Chris (2017) Towards extracting 3-D structural representations of AGR core fuel channels from 2-D in-core inspection videos. In: International Symposium on Future I&C for Nuclear Power Plants (ISOFIC 2017), 2017-11-26 - 2017-11-30, Hwabaek International Convention Center (HICO). (In Press)
Preview |
Text.
Filename: Law_etal_ISOFIC2017_Towards_extracting_3_D_structural_representations_of_AGR_core_fuel.pdf
Accepted Author Manuscript Download (1MB)| Preview |
Abstract
Remote Visual Inspection (RVI) of Advanced Gas-cooled Reactor (AGR) nuclear power stations allows engineers to gain an understanding of the AGR graphite core health by investigating the incorporated fuel channels. During planned, periodic outages, video footage of the pre-selected fuel channels is acquired using specialist inspection tools and is subsequently taken offline for further analysis using visualization techniques. Current methods of visualization however provide limited structural information due to the loss of depth information as a direct result of the image acquisition process. This paper introduces a new bespoke 3-D reconstruction framework to recover lost depth information to produce 3-D point cloud reconstructions of fuel channels from inspection videos. We also present here a new, lab based, experimental rig setup with which we effectively captured data under lab controlled conditions to verify our 3-D reconstruction algorithms. Our proposed method is tested on 2-D in core inspection videos in addition to the footage captured within laboratory conditions and outperforms state-of-the-art incremental reconstruction frameworks whilst producing a more representative 3-D point cloud for improved in-core visualization.
ORCID iDs
Law, Kristofer ORCID: https://orcid.org/0000-0001-9611-1394, West, Graeme ORCID: https://orcid.org/0000-0003-0884-6070, Murray, Paul ORCID: https://orcid.org/0000-0002-6980-9276 and Lynch, Chris;-
-
Item type: Conference or Workshop Item(Paper) ID code: 62402 Dates: DateEvent15 November 2017Published15 November 2017Accepted29 September 2017SubmittedNotes: Awarded best student paper Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Strategic Research Themes > EnergyDepositing user: Pure Administrator Date deposited: 21 Nov 2017 15:13 Last modified: 12 Dec 2024 16:22 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/62402