Towards a Unifying Reference Model for Digital Twins of Cyber-Physical Systems
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arXiv
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| Hauptverfasser: | , , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866916830117888000 |
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| author | Pfeiffer, Jerome Zhang, Jingxi Combemale, Benoit Michael, Judith Rumpe, Bernhard Wimmer, Manuel Wortmann, Andreas |
| author_facet | Pfeiffer, Jerome Zhang, Jingxi Combemale, Benoit Michael, Judith Rumpe, Bernhard Wimmer, Manuel Wortmann, Andreas |
| contents | Digital twins are sophisticated software systems for the representation, monitoring, and control of cyber-physical systems, including automotive, avionics, smart manufacturing, and many more. Existing definitions and reference models of digital twins are overly abstract, impeding their comprehensive understanding and implementation guidance. Consequently, a significant gap emerges between abstract concepts and their industrial implementations. We analyze popular reference models for digital twins and combine these into a significantly detailed unifying reference model for digital twins that reduces the concept-implementation gap to facilitate their engineering in industrial practice. This enhances the understanding of the concepts of digital twins and their relationships and guides developers to implement digital twins effectively. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_04871 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Towards a Unifying Reference Model for Digital Twins of Cyber-Physical Systems Pfeiffer, Jerome Zhang, Jingxi Combemale, Benoit Michael, Judith Rumpe, Bernhard Wimmer, Manuel Wortmann, Andreas Software Engineering Digital twins are sophisticated software systems for the representation, monitoring, and control of cyber-physical systems, including automotive, avionics, smart manufacturing, and many more. Existing definitions and reference models of digital twins are overly abstract, impeding their comprehensive understanding and implementation guidance. Consequently, a significant gap emerges between abstract concepts and their industrial implementations. We analyze popular reference models for digital twins and combine these into a significantly detailed unifying reference model for digital twins that reduces the concept-implementation gap to facilitate their engineering in industrial practice. This enhances the understanding of the concepts of digital twins and their relationships and guides developers to implement digital twins effectively. |
| title | Towards a Unifying Reference Model for Digital Twins of Cyber-Physical Systems |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2507.04871 |