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research-article

Meta-model-based shop-floor digital twin architecture, modeling and application

Authors:

Yanbin YuAuthors Info & Claims

Volume 84, Issue C

https://doi.org/10.1016/j.rcim.2023.102595

Published: 01 December 2023 Publication History

Highlights

•

A meta-model-based Shop-floor digital twin (SDT) construction approach and comprehensive architecture are proposed.

•

A SDT definition across SDT lifecycle phases is described considering the integration level of SDT models and automatic data flow.

•

A meta-model based on RAMI 4.0 is constructed, which provides a novel idea to describe the manufacturing resources and their status.

•

A SDT modeling process is proposed by referring to the structure and analysis logic of the magicgrid methodology.

Abstract

Digital twin is regarded as the virtual counterpart of physical entities, which can mirror the physical behavior and performance. Digital twin technology provides strong support for the achievement of cyber-physical system and intelligent manufacturing. Many investigations have been carried out for the digital twin of specific products. However, there are less researches on digital twin in the shop-floor domain, and there is a lack of model-driven digital twin comprehensive architecture. The modeling approach to the full lifecycle of digital twin is not considered enough. This paper proposes a meta-model-based shop-floor digital twin construction approach and a comprehensive architecture. A meta-model based on RAMI 4.0 is constructed, which provide a novel idea for the description of manufacturing resources and their status. The proposed shop-floor digital twin architecture consists of three key implementation elements: the meta-model construction, data modeling (including data interaction between cyber-physical spaces) and constructing different integration level models of shop-floor digital twin based on iteration feedback between the demands and models. The proposed approach is validated through a case study of the fischer learning factory 4.0.

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Cited By

Li JWang ZZhang SJi JXiang YWang DTan J(2025)Digital-Twin virtual model real-time construction via spatio-temporal cascade reconstruction for full-field plastic deformation monitoring in metal tube bending manufacturingRobotics and Computer-Integrated Manufacturing10.1016/j.rcim.2024.10286091:COnline publication date: 1-Feb-2025
https://dl.acm.org/doi/10.1016/j.rcim.2024.102860
Li JWang XYang QSun YZhao JMao XQie H(2024)IoT-based framework for digital twins in steel productionExpert Systems with Applications: An International Journal10.1016/j.eswa.2024.123909250:COnline publication date: 18-Jul-2024
https://dl.acm.org/doi/10.1016/j.eswa.2024.123909
Latsou CAriansyah DSalome LAhmet Erkoyuncu JSibson JDunville J(2024)A unified framework for digital twin development in manufacturingAdvanced Engineering Informatics10.1016/j.aei.2024.10256762:PAOnline publication date: 1-Oct-2024
https://dl.acm.org/doi/10.1016/j.aei.2024.102567
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Information & Contributors

Information

Published In

cover image Robotics and Computer-Integrated Manufacturing

Robotics and Computer-Integrated Manufacturing Volume 84, Issue C

Dec 2023

313 pages

ISSN:0736-5845

Issue’s Table of Contents

Elsevier Ltd.

Publisher

Pergamon Press, Inc.

United States

Publication History

Published: 01 December 2023

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Cited By

Li JWang ZZhang SJi JXiang YWang DTan J(2025)Digital-Twin virtual model real-time construction via spatio-temporal cascade reconstruction for full-field plastic deformation monitoring in metal tube bending manufacturingRobotics and Computer-Integrated Manufacturing10.1016/j.rcim.2024.10286091:COnline publication date: 1-Feb-2025
https://dl.acm.org/doi/10.1016/j.rcim.2024.102860
Li JWang XYang QSun YZhao JMao XQie H(2024)IoT-based framework for digital twins in steel productionExpert Systems with Applications: An International Journal10.1016/j.eswa.2024.123909250:COnline publication date: 18-Jul-2024
https://dl.acm.org/doi/10.1016/j.eswa.2024.123909
Latsou CAriansyah DSalome LAhmet Erkoyuncu JSibson JDunville J(2024)A unified framework for digital twin development in manufacturingAdvanced Engineering Informatics10.1016/j.aei.2024.10256762:PAOnline publication date: 1-Oct-2024
https://dl.acm.org/doi/10.1016/j.aei.2024.102567
Song JLiu SMa TSun YTao FBao J(2023)Resilient digital twin modelingAdvanced Engineering Informatics10.1016/j.aei.2023.10214858:COnline publication date: 1-Oct-2023
https://dl.acm.org/doi/10.1016/j.aei.2023.102148

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