Abstract
Digital Models/Shadows/Twins/...have been given numerous definitions and descriptions in the literature. There is no consensus on terminology, nor a comprehensive description of workflows nor architectures. In this paper, we use the catch-all “Digital T” (pronounced “Digital Twinning”) to refer to all concepts, techniques, architectures, ...related to the “twinning” paradigm. In this paradigm, virtual instances, known as twins, of a System under Study (SuS) are continually updated with the SuS’s health, performance, and maintenance status, over its entire life-cycle. Digital T can be used for monitoring, analysis, optimization, and adaptation of complex engineered systems, in particular after these systems have been deployed. Digital T makes full use of both historical knowledge and of streaming data from sensors. Following Multi-Paradigm Modelling (MPM) principles, this paper proposes to explicitly model construction/use workflows as well as architectures and deployment of Digital T. Applying product family modelling allows for the de-/re-construction of the different Digital T variants in a principled, reproducible and partially automatable manner. Two small illustrative cases are discussed: a Line-Following Robot and an Incubator. These are representative for respectively an Automated Guided Vehicle and an Industrial Convection Oven, both important in an industrial context.
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Notes
- 1.
The authors are grateful to Francis Bordeleau for pointing this out during Dagstuhl Seminar 22362 on Model Driven Engineering of Digital Twins.
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Acknowledgements
This research was partially supported by Flanders Make, the strategic research center for the Flemish manufacturing industry and by a doctoral fellowship of the Faculty of Science of the University of Antwerp. In addition, we are grateful to the Poul Due Jensen Foundation, which has supported the establishment of a new Center for Digital Twin Technology at Aarhus University.
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Paredis, R., Gomes, C., Vangheluwe, H. (2023). A Family of Digital T Workflows and Architectures: Exploring Two Cases. In: Smirnov, A., Panetto, H., Madani, K. (eds) Innovative Intelligent Industrial Production and Logistics. IN4PL IN4PL 2020 2021. Communications in Computer and Information Science, vol 1855. Springer, Cham. https://doi.org/10.1007/978-3-031-37228-5_6
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