• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Scopus
  4. Use Case Driven Digital Twin Generation
 
  • Details
  • Full
Options
2022
Conference Paper
Title

Use Case Driven Digital Twin Generation

Abstract
Digital twins, especially when standardized, are an essential aspect of Industry 4.0, because they enable in-teroperability for components of different companies, both in the engineering and operational phase. The German initiative 'Plattform Industrie 4.0' considers the Asset Administration Shell (AAS) as the Digital Twin for Industry 4.0. The concept provides a meta model and initial submodels, each of which contains the information needed for a common use case. For a variety of use cases, in particular customer specific applications, the information that may need to be provided by multiple AASs to ensure the correct execution of the application must be specified by the partners involved. This contribution presents an approach and an architecture for a model-based generation of AASs. The foundation is a model containing the specification of a use case. Each partner involved in the execution of this use case uses an instance of the presented Digital Twin Generator to create the required AAS. The Digital Twin Generator analyzes the required information based on the provided model, finds it in a company's tools, in databases or on the physical twin and publishes the generated AAS on a web server.
Author(s)
Göllner, Denis
Lenze SE
Klausmann, Tobias
Lenze SE
Rasor, Rik  
Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM  
Dumitrescu, Roman  
Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM  
Mainwork
IEEE 5th International Conference on Industrial Cyber- Physical Systems, ICPS 2022. Proceedings  
Project(s)
Menschorientierte Gestaltung komplexer System of Systems  
Funder
Bundesministerium für Bildung und Forschung  
Conference
International Conference on Industrial Cyber-Physical Systems 2022  
DOI
10.1109/ICPS51978.2022.9816907
Language
English
Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM  
Keyword(s)
  • Asset Administration Shell

  • Cyber Physical Systems

  • Digital Twin

  • Industry 4.0

  • Information Modeling

  • Semantic Modeling

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024