サイバーフィジカルシステムを基盤とするデジタルツインプロトタイプ構築実習型教育法
サイバーフィジカルシステムを基盤とするデジタルツインプロトタイプ構築実習型教育法
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: 2023/11/01
タイトル(英語): Digital Twin Prototype Construction Practical Teaching Method based on Cyber-physical Systems
著者名: 大高 謙二(NPO法人M2M・IoT研究会),中島 毅(芝浦工業大学),大江 信宏(サイバー大学),清尾 克彦(サイバー大学),井上 雅裕(慶応義塾大学大学院システムデザイン・マネジメント研究科),神戸 英利(東京電機大学),小泉 寿男(NPO法人M2M・IoT研究会)
著者名(英語): Kenji Ohtaka (NPO Organization M2M・IoT Study Group), Tsuyoshi Nakajima (Shibaura Institute of Technology), Nobuhiro Ohe (Cyber University), Katsuhiko Seo (Cyber University), Masahiro Inoue (Graduate School of System Design and Management, Keio University), Hidetoshi Kambe (Tokyo Denki University), Hisao Koizumi (NPO Organization M2M・IoT Study Group)
キーワード: デジタルツイン,AI,LSTM,機械学習,異常予知,教育手法 digital twin,AI,LSTM,machine learning,anomaly prediction,educational methods
要約(英語): In order to realize a digital twin, in addition to future prediction technology using AI, modeling technology for virtualization specialized for physical systems and know-how for identifying data used in modeling are required. However, there are many cases in which the know-how specialized in these physical systems is not sufficient in educational settings. For this reason, we set assumptions about modeling techniques specific to physical systems and data to be collected, and prepare prototypes that realize digital twins based on those assumptions. This prototype provides a foundation for machine learning, AI model tuning, and implementation of trained AI models into digital twins. By experiencing the construction of this prototype, we will cultivate the ability to construct future prediction systems using AI in digital twins. In addition, by setting various hypotheses and carrying out realization and verification with prototypes, the educational effect will be enhanced. This paper describes the proposal of this educational method and its practice and evaluation.
本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.143 No.11 (2023) 特集:電気関係学会関西連合大会
本誌掲載ページ: 1045-1055 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/143/11/143_1045/_article/-char/ja/
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