DOI: 10.17586/2226-1494-2018-18-3-554-560


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For citation: Glushchenko F.A., Borsych W., Wermann J., Colombo A.W. Development of educational platform for Industry 4.0 production process study. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2018, vol. 18, no. 3, pp. 554–560 (in Russian). doi: 10.17586/2226-1494-2018-18-3-554-560


 Subject of Research. We propose educational platform created on the basis of the automated production in the Industry 4.0 concept. The interaction of automated production area components is described.  The paper describes the process of new components integration into a standardized architectural model. Method. While creating an automated production area, a modern service-oriented architectural model is used, which describes the production process both from the life cycle side and at different levels of the hierarchy, as well as the interaction levels of the components of this production. The basis of the production is a single-board Raspberry Pi computer with a server being started on it for data exchange between the database and the engraving site. Main Results. A model was designed for the next stage of production supplementing by a set of 3D printers. Interfaces between the components of the automated production were also identified. Practical Relevance. The created production area gives the possibility to get acquainted with the basis of the Industry 4.0 concept. The developed model will be implemented for training students to work with modern industrial automation. In addition, the architecture of the created production area provides an opportunity to develop new automation programs, introduce additional production components, and study their interaction with existing ones

Keywords: industrial cyber physical systems, Industry 4.0, industrial automation, education, production system, service-oriented architecture

Acknowledgements. This work has been supported by the The Deutscher Akademischer Austauschdienst, DAAD and the Ministry of Education and Science of the Russian Federation (Assignment No. 9.9951.2017/DAAD for partial financial support of the abroad research studies).

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