Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Technical Interoperability for Machine Connectivity on the Shop Floor

Magnus Åkerman
* ORCID logo ,
Johan Stahre
ORCID logo ,
Ulrika Engström
,
Ola Angelsmark
,
Daniel McGillivray
,
Torgny Holmberg
,
Maja Bärring
,
Camilla Lundgren
,
Martin Friis
,
Åsa Fast-Berglund
ORCID logo
Version 1 : Received: 2 May 2018 / Approved: 3 May 2018 / Online: 3 May 2018 (12:25:53 CEST)

A peer-reviewed article of this Preprint also exists.

Åkerman, M.; Stahre, J.; Engström, U.; Angelsmark, O.; McGillivray, D.; Holmberg, T.; Bärring, M.; Lundgren, C.; Friis, M.; Fast-Berglund, Å. Technical Interoperability for Machine Connectivity on the Shop Floor. Technologies 2018, 6, 57. Åkerman, M.; Stahre, J.; Engström, U.; Angelsmark, O.; McGillivray, D.; Holmberg, T.; Bärring, M.; Lundgren, C.; Friis, M.; Fast-Berglund, Å. Technical Interoperability for Machine Connectivity on the Shop Floor. Technologies 2018, 6, 57.

Abstract

This paper presents technical solutions to increase Industry 4.0 maturity. Within the “5G-Enabled Manufacturing” project, a 5G network has been deployed at the shop floor to enable fast and scalable connectivity. This network was used to connect a grinding machine to a private cloud to enable visibility and transparency of the production data, which is the basis for Industry 4.0 and smart manufacturing. Results indicate a present lack of commercially available product independent solutions for interconnection and data transfer despite the availability of open standards and well-documented demonstrator projects. The solution is described and discussed regarding technical interoperability, focusing on the system layout, communication standards, and open systems. From the discussion, it is derived that manufacturing end-users are in need to expand and further internalize knowledge on future information and communication technologies to reduce their dependency on equipment and technology providers.

Keywords

interoperability; IoT; connectivity; Industry 4.0; smart manufacturing

Subject

Computer Science and Mathematics, Information Systems

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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