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  4. Symbiotic Evolution of Digital Twin Systems and Dataspaces
 
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2022
Journal Article
Title

Symbiotic Evolution of Digital Twin Systems and Dataspaces

Abstract
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.
Author(s)
Usländer, Thomas  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Baumann, Michael  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Boschert, Stefan
Rosen, Roland
Sauer, Olaf  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Stojanovic, Ljiljana  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Wehrstedt, Jan Christoph
Journal
Automation  
Open Access
DOI
10.3390/automation3030020
Additional link
Full text
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • digital twin

  • dataspaces

  • Industry 4.0

  • industrial Internet of things

  • IoT

  • digital twin system reference model

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