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.

Saved in:
Bibliographic Details
Published inIEEE software Vol. 39; no. 2; pp. 39 - 46
Main Authors Eramo, Romina, Bordeleau, Francis, Combemale, Benoit, Brand, Mark van den, Wimmer, Manuel, Wortmann, Andreas
Format Journal Article
LanguageEnglish
Published Los Alamitos IEEE 01.03.2022
IEEE Computer Society
Institute of Electrical and Electronics Engineers
Subjects
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
Model Types
Digital Twin
Data and Models
Conceptual Modeling Framework
Online AccessGet full text

Cover

More Information
Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0740-7459
1937-4194
DOI:10.1109/MS.2021.3130755