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Mixed Reality for Visualization of Operating Data and Semantic Self-Descriptions of Machines using OPC UA

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Advances in Manufacturing, Production Management and Process Control (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1216))

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Abstract

The current age is characterized by the ongoing digitalization, which especially affects the mechanical industry. Together with information and communication technology based on Cyber-Physical Systems, it creates a new stage in the value chain known as Industrie 4.0. In addition, new standardized technologies, such as the Open Platform Communications Unified Architecture (OPC UA), are being developed and implemented. This opens up a multitude of possibilities for making processes more effective and efficient e.g. in combination with new ways for interaction such as worker assistance systems. In the following we present the concept and implementation for the provision and representation of operating data and semantic self-descriptions of machines using OPC UA in Mixed Reality based on three segments containing server, client and the user .

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Acknowledgments

This work was funded by the Hessian LOEWE initiative within the Software-Factory 4.0 project.

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Authors and Affiliations

  1. Department of Computer Integrated Design (DiK), Technical University of Darmstadt, Otto-Berndt-Straße 2, 64287, Darmstadt, Germany

    Johannes Olbort, Heiko Herden, Vladimir Kutscher & Reiner Anderl

Authors
  1. Johannes Olbort
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  2. Heiko Herden
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  3. Vladimir Kutscher
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  4. Reiner Anderl
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Corresponding author

Correspondence to Johannes Olbort .

Editor information

Editors and Affiliations

  1. Faculty of Engineering Management, Poznan University of Technology, Poznan, Poland

    Beata Mrugalska

  2. Poznan University of Technology, Poznan, Poland

    Stefan Trzcielinski

  3. University of Central Florida, Winter Park, FL, USA

    Waldemar Karwowski

  4. Architecture Department, University of Chieti-Pescara, Pescara, Pescara, Italy

    Massimo Di Nicolantonio

  5. Lincoln School of Design, University of Lincoln, Lincoln, UK

    Emilio Rossi

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Olbort, J., Herden, H., Kutscher, V., Anderl, R. (2020). Mixed Reality for Visualization of Operating Data and Semantic Self-Descriptions of Machines using OPC UA. In: Mrugalska, B., Trzcielinski, S., Karwowski, W., Di Nicolantonio, M., Rossi, E. (eds) Advances in Manufacturing, Production Management and Process Control. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1216. Springer, Cham. https://doi.org/10.1007/978-3-030-51981-0_19

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  • DOI: https://doi.org/10.1007/978-3-030-51981-0_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-51980-3

  • Online ISBN: 978-3-030-51981-0

  • eBook Packages: EngineeringEngineering (R0)

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