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The virtual twin: controlling smart factories using a spatially-correct augmented reality representation

Published:22 October 2017Publication History

ABSTRACT

With the advent of digitalization in industrial settings, referred to as Industry 4.0, more and more machine data is being collected and analyzed during a machine's life cycle. The availability to leverage machine data allows the concept of the Digital Twin. The more data that is collected the more statistically relevant and reliable the digital representation. This data within the Digital Twin is usually hard to access and to consume by humans. Typically, there is just a web-based user interface or basic queries available to mine the data. Therefore, we propose the concept of a Virtual Twin, which is an interactive virtual representation (virtual 3D model) of a physical object. The benefit of a Virtual Twin is that machines and equipment are arranged in the same way and at the same position in relation to each other as their real-world counterparts. The virtual 3D representation functions as an intuitive gateway to the corresponding Digital Twin. In this paper, we present the concept and implementation of the Virtual Twin and discuss potential use cases as well as areas of application.

References

  1. Michael Grieves and John Vickers. 2017. Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems. In Transdisciplinary Perspectives on Complex Systems. Springer, 85--113.Google ScholarGoogle Scholar
  2. Steven J Henderson and Steven Feiner. 2009. Evaluating the benefits of augmented reality for task localization in maintenance of an armored personnel carrier turret. In Mixed and Augmented Reality, 2009. ISMAR 2009. 8th IEEE International Symposium on. IEEE, 135--144. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Dirk Reiners, Didier Stricker, Gudrun Klinker, and Stefan Müller. 1998. Augmented reality for construction tasks: Doorlock assembly. Proc. IEEE and ACM IWAR 98, 1 (1998), 31--46. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  • Published in

    cover image ACM Other conferences
    IoT '17: Proceedings of the Seventh International Conference on the Internet of Things
    October 2017
    211 pages
    ISBN:9781450353182
    DOI:10.1145/3131542

    Copyright © 2017 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 22 October 2017

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    Overall Acceptance Rate28of84submissions,33%

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