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Structuring Reference Architectures for the Industrial Internet of Things

Author

Listed:
  • Sebastian R. Bader

    (Fraunhofer IAIS, Schloss Birlinghoven, 53757 Sankt Augustin, Germany)

  • Maria Maleshkova

    (University of Bonn, Endenicher Allee 19a, 53115 Bonn, Germany)

  • Steffen Lohmann

    (Fraunhofer IAIS, Schloss Birlinghoven, 53757 Sankt Augustin, Germany)

Abstract

The ongoing digital transformation has the potential to revolutionize nearly all industrial manufacturing processes. However, its concrete requirements and implications are still not sufficiently investigated. In order to establish a common understanding, a multitude of initiatives have published guidelines, reference frameworks and specifications, all intending to promote their particular interpretation of the Industrial Internet of Things (IIoT). As a result of the inconsistent use of terminology, heterogeneous structures and proposed processes, an opaque landscape has been created. The consequence is that both new users and experienced experts can hardly manage to get an overview of the amount of information and publications, and make decisions on what is best to use and to adopt. This work contributes to the state of the art by providing a structured analysis of existing reference frameworks, their classifications and the concerns they target. We supply alignments of shared concepts, identify gaps and give a structured mapping of regarded concerns at each part of the respective reference architectures. Furthermore, the linking of relevant industry standards and technologies to the architectures allows a more effective search for specifications and guidelines and supports the direct technology adoption.

Suggested Citation

  • Sebastian R. Bader & Maria Maleshkova & Steffen Lohmann, 2019. "Structuring Reference Architectures for the Industrial Internet of Things," Future Internet, MDPI, vol. 11(7), pages 1-23, July.
  • Handle: RePEc:gam:jftint:v:11:y:2019:i:7:p:151-:d:246444
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    Citations

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    Cited by:

    1. Abderrahim Zannou & Abdelhak Boulaalam & El Habib Nfaoui, 2020. "SIoT: A New Strategy to Improve the Network Lifetime with an Efficient Search Process," Future Internet, MDPI, vol. 13(1), pages 1-23, December.
    2. Amon Göppert & Lea Grahn & Jonas Rachner & Dennis Grunert & Simon Hort & Robert H. Schmitt, 2023. "Pipeline for ontology-based modeling and automated deployment of digital twins for planning and control of manufacturing systems," Journal of Intelligent Manufacturing, Springer, vol. 34(5), pages 2133-2152, June.

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