TY - GEN
T1 - A software engineering point of view on digital twin architecture
AU - Bechu, Gaelic
AU - Beugnard, Antoine
AU - Cao, Caroline G.L.
AU - Perez, Quentin
AU - Urtado, Christelle
AU - Vauttier, Sylvain
N1 - ACKNOWLEDGEMENTS This work is funded in part by the CARNOT MINES and TSN Institutes, the Chair of Industry of the Future funded by the Région de Bretagne and University of South Australia, as well as GT VOCA of the HUman at home projecT (HUT) funded by FEDER and the Région Occitanie. We thank Panagiotis Papadakis, Christophe Lohr and Alireza Asvadi for their expertise.
PY - 2022
Y1 - 2022
N2 - Digital twins, along with Internet of Things and Artificial Intelligence, have been identified as one of the key technologies for Industry 4.0. However, the definition of Digital Twin (DT) is still abstract and context-dependent. In this paper, we present a metamodel that supports concrete and operational descriptions of digital twin deployment. This metamodel encompasses the different aspects of deployment, including the definition of hardware and software components that compose the layered cyber-physical architectures of the digital twin, along with the installation and instantiation tasks that compose deployment processes. Multiple configurations can also be defined to support the deployment of a digital twin in different execution contexts. The relevance of this metamodel was evaluated by two case studies. The first consists in deploying the digital twin of a cobot in a simulation environment. The second applies the approach in a home automation environment. In both cases, our metamodel provides complete and precise descriptions of the deployment process and thus constitutes a viable first step towards a model-driven approach for digital twin deployment.
AB - Digital twins, along with Internet of Things and Artificial Intelligence, have been identified as one of the key technologies for Industry 4.0. However, the definition of Digital Twin (DT) is still abstract and context-dependent. In this paper, we present a metamodel that supports concrete and operational descriptions of digital twin deployment. This metamodel encompasses the different aspects of deployment, including the definition of hardware and software components that compose the layered cyber-physical architectures of the digital twin, along with the installation and instantiation tasks that compose deployment processes. Multiple configurations can also be defined to support the deployment of a digital twin in different execution contexts. The relevance of this metamodel was evaluated by two case studies. The first consists in deploying the digital twin of a cobot in a simulation environment. The second applies the approach in a home automation environment. In both cases, our metamodel provides complete and precise descriptions of the deployment process and thus constitutes a viable first step towards a model-driven approach for digital twin deployment.
KW - Architecture Deployment
KW - Digital Twin
KW - Model-Driven Engineering
UR - http://www.scopus.com/inward/record.url?scp=85141387811&partnerID=8YFLogxK
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U2 - 10.1109/ETFA52439.2022.9921617
DO - 10.1109/ETFA52439.2022.9921617
M3 - Conference contribution
AN - SCOPUS:85141387811
T3 - IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
BT - 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation, ETFA 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2022
Y2 - 6 September 2022 through 9 September 2022
ER -