Technical Interoperability for Machine Connectivity on the Shop Floor
Journal article, 2018

This paper presents a generic technical solution that can increase Industry 4.0 maturity by collecting data from sensors and control systems on the shop floor. Within the research project “5G-Enabled Manufacturing”, an LTE (Long-Term Evolution) network with 5G technologies was deployed on the shop floor to enable fast and scalable connectivity. This network was used to connect a grinding machine to a remote private cloud where data was stored and streamed to a data analytics center. This enabled visibility and transparency of the production data, which is the basis for Industry 4.0 and smart manufacturing. The solution is described with a focus on high-level communication technologies above wireless communication standards. These technologies are discussed regarding technical interoperability, focusing on the system layout, communication standards, and open systems. From the discussion, it can be derived that generic solutions such as this are possible, but manufacturing end-users must expand and further internalize knowledge of future information and communication technologies to reduce their dependency on equipment and technology providers.

connectivity

IoT

smart manufacturing

interoperability

Industry 4.0

Author

Magnus Åkerman

Chalmers, Industrial and Materials Science, Production Systems

Johan Stahre

Chalmers, Industrial and Materials Science, Production Systems

Ulrika Engström

Ericsson

Ola Angelsmark

Ericsson

Daniel McGillivray

Ericsson

Torgny Holmberg

Ericsson

Maja Bärring

Chalmers, Industrial and Materials Science, Production Systems

Camilla Lundgren

Chalmers, Industrial and Materials Science, Production Systems

Martin Friis

SKF

Åsa Fasth Berglund

Chalmers, Industrial and Materials Science, Production Systems

Technologies

22277080 (eISSN)

Vol. 6 3

5G-Enabled Manufacturing (5GEM)

VINNOVA (2015-06755), 2015-11-16 -- 2018-07-13.

Areas of Advance

Production

Subject Categories

Communication Systems

Computer Systems

DOI

10.3390/technologies6030057

More information

Latest update

4/2/2024 1