Towards extracting 3-D structural representations of AGR core fuel channels from 2-D in-core inspection videos

Research output: Contribution to conferencePaper

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.

Conference

ConferenceInternational Symposium on Future I&C for Nuclear Power Plants (ISOFIC 2017)
Abbreviated titleISOFIC 2017
CountryKorea, Republic of
CityGyeongju
Period26/11/1730/11/17
Internet address

Fingerprint

Gas cooled reactors
Reactor cores
Inspection
Visualization
Image acquisition
Outages
Nuclear power plants
Graphite
Health
Engineers

Keywords

  • advanced gas-cooled reactor
  • visual inspection
  • structure-from-motion
  • Image processing

Cite this

Law, K., West, G., Murray, P., & Lynch, C. (Accepted/In press). Towards extracting 3-D structural representations of AGR core fuel channels from 2-D in-core inspection videos. 1-10. Paper presented at International Symposium on Future I&C for Nuclear Power Plants (ISOFIC 2017), Gyeongju, Korea, Republic of.
Law, Kristofer ; West, Graeme ; Murray, Paul ; Lynch, Chris. / Towards extracting 3-D structural representations of AGR core fuel channels from 2-D in-core inspection videos. Paper presented at International Symposium on Future I&C for Nuclear Power Plants (ISOFIC 2017), Gyeongju, Korea, Republic of.10 p.
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title = "Towards extracting 3-D structural representations of AGR core fuel channels from 2-D in-core inspection videos",
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.",
keywords = "advanced gas-cooled reactor, visual inspection, structure-from-motion, Image processing",
author = "Kristofer Law and Graeme West and Paul Murray and Chris Lynch",
note = "Awarded best student paper; International Symposium on Future I&C for Nuclear Power Plants (ISOFIC 2017), ISOFIC 2017 ; Conference date: 26-11-2017 Through 30-11-2017",
year = "2017",
month = "11",
day = "15",
language = "English",
pages = "1--10",
url = "http://www.isofic.org/",

}

Law, K, West, G, Murray, P & Lynch, C 2017, 'Towards extracting 3-D structural representations of AGR core fuel channels from 2-D in-core inspection videos' Paper presented at International Symposium on Future I&C for Nuclear Power Plants (ISOFIC 2017), Gyeongju, Korea, Republic of, 26/11/17 - 30/11/17, pp. 1-10.

Towards extracting 3-D structural representations of AGR core fuel channels from 2-D in-core inspection videos. / Law, Kristofer; West, Graeme; Murray, Paul; Lynch, Chris.

2017. 1-10 Paper presented at International Symposium on Future I&C for Nuclear Power Plants (ISOFIC 2017), Gyeongju, Korea, Republic of.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Towards extracting 3-D structural representations of AGR core fuel channels from 2-D in-core inspection videos

AU - Law, Kristofer

AU - West, Graeme

AU - Murray, Paul

AU - Lynch, Chris

N1 - Awarded best student paper

PY - 2017/11/15

Y1 - 2017/11/15

N2 - 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.

AB - 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.

KW - advanced gas-cooled reactor

KW - visual inspection

KW - structure-from-motion

KW - Image processing

UR - http://www.isofic.org/

M3 - Paper

SP - 1

EP - 10

ER -

Law K, West G, Murray P, Lynch C. Towards extracting 3-D structural representations of AGR core fuel channels from 2-D in-core inspection videos. 2017. Paper presented at International Symposium on Future I&C for Nuclear Power Plants (ISOFIC 2017), Gyeongju, Korea, Republic of.