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Towards Provenance Integration for Field Devices in Industrial IoT Systems

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Provenance and Annotation of Data and Processes (IPAW 2020, IPAW 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12839))

Abstract

Industrial Internet of Things (IoT) systems are becoming increasingly complex with interconnected field devices. To cope with the complexity and to facilitate further interoperability between heterogeneous field devices, it is necessary to have a holistic understanding of different types of provenance information about field devices and associated processes. In this paper, we investigate the potential integration of such provenance with the W3C Web of Things and current industrial standards to realize more explainable, efficient, and safer industrial IoT systems.

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Notes

  1. 1.

    https://opcfoundation.org/markets-collaboration/.

  2. 2.

    https://opcfoundation.org/flc/.

  3. 3.

    https://www.automationml.org/.

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Author information

Authors and Affiliations

  1. University of St.Gallen, St.Gallen, Switzerland

    Iori Mizutani & Simon Mayer

  2. ETH Zürich, Zürich, Switzerland

    Jonas Brütsch

Authors
  1. Iori Mizutani
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  2. Jonas Brütsch
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  3. Simon Mayer
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Corresponding author

Correspondence to Iori Mizutani .

Editor information

Editors and Affiliations

  1. Illinois Institute of Technology, Chicago, IL, USA

    Boris Glavic

  2. Fluminense Federal University, Niterói, Brazil

    Vanessa Braganholo

  3. Northern Illinois University, DeKalb, IL, USA

    David Koop

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Mizutani, I., Brütsch, J., Mayer, S. (2021). Towards Provenance Integration for Field Devices in Industrial IoT Systems. In: Glavic, B., Braganholo, V., Koop, D. (eds) Provenance and Annotation of Data and Processes. IPAW IPAW 2020 2021. Lecture Notes in Computer Science(), vol 12839. Springer, Cham. https://doi.org/10.1007/978-3-030-80960-7_21

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  • DOI: https://doi.org/10.1007/978-3-030-80960-7_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80959-1

  • Online ISBN: 978-3-030-80960-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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