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j.net.2018.03.014.pdf1.77 MBAdobe PDF見る/開く
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dc.contributor.authorHarazono, Yukien
dc.contributor.authorKimura, Taroen
dc.contributor.authorIshii, Hirotakeen
dc.contributor.authorShimoda, Hiroshien
dc.contributor.authorKouda, Yuyaen
dc.contributor.alternative原園, 友規ja
dc.contributor.alternative石井, 裕剛ja
dc.contributor.alternative下田, 宏ja
dc.date.accessioned2018-05-25T04:47:47Z-
dc.date.available2018-05-25T04:47:47Z-
dc.date.issued2018-05-
dc.identifier.issn1738-5733-
dc.identifier.urihttp://hdl.handle.net/2433/231223-
dc.description.abstractMany nuclear power plants in Japan are approaching the end of their planned operational life spans. They must be decommissioned safely in the near future. Using augmented reality (AR), workers can intuitively understand information related to decommissioning work. Three-dimensional (work-site) reconstruction models of dismantling fields are useful for workers to observe the conditions of dismantling field situations without visiting the actual fields. This study, based on AR and work-site reconstruction models, developed and evaluated an information reference system. The evaluation consists of questionnaires and interview surveys administered to six nuclear power plant workers who used this system, along with a scenario. Results highlight the possibility of reducing time and mitigating mistakes in dismantling fields. Results also show the ease of referring to information in dismantling fields. Nevertheless, it is apparently difficult for workers to build reconstruction models of dismantling fields independently.en
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherElsevier BVen
dc.rights© 2018 Korean Nuclear Society, Published by Elsevier Korea LLC. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en
dc.subjectAnnotationen
dc.subjectAugmented Realityen
dc.subjectDecommissioning Work Supporten
dc.subjectPlanningen
dc.titleDevelopment of an information reference system using reconstruction models of nuclear power plantsen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleNuclear Engineering and Technologyen
dc.identifier.volume50-
dc.identifier.issue4-
dc.identifier.spage606-
dc.identifier.epage612-
dc.relation.doi10.1016/j.net.2018.03.014-
dc.textversionpublisher-
dc.addressGraduate School of Energy Science, Kyoto Universityen
dc.addressMobile Core Network Department, SoftBank Corp.en
dc.addressGraduate School of Energy Science, Kyoto Universityen
dc.addressGraduate School of Energy Science, Kyoto Universityen
dc.addressDecommissioning Project Department, Fugen Decommissioning Engineering Center, Japan Atomic Energy Agencyen
dcterms.accessRightsopen access-
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