Automation (Aug 2022)

Symbiotic Evolution of Digital Twin Systems and Dataspaces

  • Thomas Usländer,
  • Michael Baumann,
  • Stefan Boschert,
  • Roland Rosen,
  • Olaf Sauer,
  • Ljiljana Stojanovic,
  • Jan Christoph Wehrstedt

DOI
https://doi.org/10.3390/automation3030020
Journal volume & issue
Vol. 3, no. 3
pp. 378 – 399

Abstract

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This paper proposes to combine the concept of digital twins with the concept of dataspaces to fulfill the original expectation that a digital twin is a comprehensive virtual representation of physical assets. Based upon a terminological and conceptual discussion of digital twins and dataspaces, this paper claims that a systemic approach towards digital twin Systems is required. The key conceptual approach consists of a Reference Model for Digital Twin Systems (DTS-RM) and a hypothesis regarding a symbiotic evolution. The DTS-RM distinguishes between a digital twin back-end platform comprising the access and management of comprehensive digital twin instances and digital twin-related services, and digital twin front-end services that are tailored to the demands of applications and users. The main purpose of the back-end platform is to decouple the digital twin’s generation and management from the usage of the digital twin for applications.

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