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手書きによる情報共有に基づく設備保全作業支援システムの開発とプラント保全業務への適用

手書きによる情報共有に基づく設備保全作業支援システムの開発とプラント保全業務への適用

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カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2015/06/01

タイトル(英語): Development of Facility Maintenance Support System Based on Knowledge Sharing by Handwriting and its Application to Plant Maintenance Work

著者名: 池田 尚司((株)日立製作所中央研究所/大阪大学大学院情報科学研究科),古川 直広((株)日立製作所中央研究所),薦田 憲久(大阪大学大学院情報科学研究科)

著者名(英語): Hisashi Ikeda (Central Research Laboratory, Hitachi, Ltd./Graduate School of Information Science and Technology, Osaka University), Naohiro Furukawa (Central Research Laboratory, Hitachi, Ltd.), Norihisa Komoda (Graduate School of Information Science and Technology, Osaka University)

キーワード: 保全業務,手書き,アノテーション,情報共有,デジタルペン,文書管理  maintenance work,handwriting,annotation,information sharing,digital pen,document management

要約(英語): A facility maintenance support system featuring annotation interpretation in addition to digital pen and paper-digital document management technologies is proposed. Handwritten annotation consists of character strings and drawings like lead lines. Annotation interpretation extracts information about which part of the facility, and when the maintenance worker's insights are described from the handwritten annotation on the maintenance sheet. The annotated facility is estimated by using printed object information provided from paper-digital document management. Time stamp of annotation is acquired from digital pen. Based on the interpretation, character string images are organized in time series manner by part of the facility, and are presented to the maintenance workers both on the monitor in the office and on the maintenance sheet in the field. Proposed facility maintenance support system was applied to the maintenance work for the wastewater plant in our research laboratory. The field trial reveals that sharing knowledge on the maintenance workers' insights can improve efficiency and reliability of the maintenance work based on the interview to the maintenance workers.

本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.135 No.6 (2015) 特集:データからの知識発見とその応用

本誌掲載ページ: 580-588 p

原稿種別: 論文/日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/135/6/135_580/_article/-char/ja/

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