Conceptualizing Digital Twins

Conceptualizing Digital Twins

Properly arranging models, data sources, and their relations to engineer digital twins is challenging. We propose a conceptual modeling framework for digital twins that captures the combined usage of heterogeneous models and their respective evolving data for the twin’s entire lifecycle.

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Bibliographische Detailangaben
Veröffentlicht in:IEEE software 2022-03, Vol.39 (2), p.39-46
Hauptverfasser: Eramo, Romina, Bordeleau, Francis, Combemale, Benoit, Brand, Mark van den, Wimmer, Manuel, Wortmann, Andreas
Format: Artikel
Sprache:eng
Schlagworte:
Adaptation models
Analytical models
Biological system modeling
Computer Science
Conceptual Modeling Framework
Data models
Digital twin
Digital twins
Model Types
Predictive models
Software Engineering
Unified modeling language
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Beschreibung
Zusammenfassung:Properly arranging models, data sources, and their relations to engineer digital twins is challenging. We propose a conceptual modeling framework for digital twins that captures the combined usage of heterogeneous models and their respective evolving data for the twin’s entire lifecycle.
ISSN:0740-7459
1937-4194
DOI:10.1109/MS.2021.3130755