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A Prototype 5G/IoT Implementation for Transforming a Legacy Facility to a Smart Factory

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Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops (AIAI 2021)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 628))

Abstract

A typical factory consists of several low functionality sensors. This work presents an architecture that can enhance the day-to-day operation of the site by combining modern IoT and legacy equipment and transforming the site for the 5G era. Operation and security of the site will benefit from the low latency the proposed Mobile Edge Computing architecture offers. Constant and uninterrupted monitoring makes preventive maintenance decisions even more accurate. Multitier architecture allows monitoring of each site to be performed locally without delays, while overall monitoring and control of remote sites is feasible as well.

Supported by the H2020 European Projects 5G-VINNI (grant agreement No. 815279) and 5G-VICTORI (grant agreement No. 857201).

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References

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Patras, Patras, Greece

    Panagiotis Papaioannou, Christos Tranoris, Spyros Denazis & Alexios Birbas

  2. Department of Research, Technology and Development Independent Power Transmission Operator (IPTO), Athens, Greece

    Nikolaos Tzanis

Authors
  1. Panagiotis Papaioannou
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  2. Nikolaos Tzanis
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  3. Christos Tranoris
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  4. Spyros Denazis
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  5. Alexios Birbas
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Corresponding author

Correspondence to Panagiotis Papaioannou .

Editor information

Editors and Affiliations

  1. University of Piraeus, Piraeus, Greece

    Ilias Maglogiannis

  2. University of Sunderland, Sunderland, UK

    John Macintyre

  3. Democritus University of Thrace, Xanthi, Greece

    Lazaros Iliadis

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Papaioannou, P., Tzanis, N., Tranoris, C., Denazis, S., Birbas, A. (2021). A Prototype 5G/IoT Implementation for Transforming a Legacy Facility to a Smart Factory. In: Maglogiannis, I., Macintyre, J., Iliadis, L. (eds) Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops. AIAI 2021. IFIP Advances in Information and Communication Technology, vol 628. Springer, Cham. https://doi.org/10.1007/978-3-030-79157-5_5

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  • DOI: https://doi.org/10.1007/978-3-030-79157-5_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-79156-8

  • Online ISBN: 978-3-030-79157-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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