Article in Proceedings INPROC-2017-60

BibliographyBaumann, Felix W.; Odefey, Ulrich; Hudert, Sebastian; Falkenthal, Michael; Zimmermann, Michael: Cyber-physical System Control via Industrial Protocol OPC UA.
In: Proceedings of the Eleventh International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP 2017).
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 45-49, english.
Xpert Publishing Services, November 2017.
Article in Proceedings (Conference Paper).
CR-SchemaC.2.4 (Distributed Systems)
C.3 (Special-Purpose and Application-Based Systems)
H.3.4 (Information Storage and Retrieval Systems and Software)

The integration of cyber-physical systems (CPS) is gaining more and more momentum due to the advent of Industry 4.0. Thereby, one of the main challenges is to facilitate the connection to arbitrary machinery in order to monitor and control these automatically. Such a control flexibilizes production processes by enabling quick adaptions of production steps. Therefore, in this work, a system is described that enables the control of a 3D printer via the industrial standardized Machine-to-Machine (M2M) communication protocol Open Platform Communications Unified Architecture (OPC UA). The system is implemented on the basis of a micro computing platform, in this case a Raspberry Pi 2, and utilizes open-source libraries and tools. The implementation creates a cyber-physical system, consisting of a 3D printer, its control system, sensor data acquisition systems and their respective digital representation. With this control system, the usage of consumer-centric 3D printers, such as Fused Deposition Modeling (FDM) printers, in enterprise-like scenarios is enabled. This abstract and universal control mechanism facilitates research in 3D printing control structures and industrial application.

Department(s)University of Stuttgart, Institute of Architecture of Application Systems
Entry dateNovember 20, 2017
   Publ. Institute   Publ. Computer Science