Industry 4.0 interface for dynamic reconfiguration of an open lab size automated production system to allow remote community experiments

Safa Bougouffa, Kilian Meszmer, Suhyun Cha, Emanuel Trunzer, B. Vogel-Heuser

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

Nowadays, there are various use cases and proprietary demonstrators for Industry 4.0 or Cyber Physical Production Systems (CPPS) developed, operated and maintained by one or multiple research institutions. Within the development of new technologies for Industry 4.0, such demonstrators are used to support the interaction with the physical world, i.e. the machinery containing sensors and actuators. In this paper, we propose a concept that allows remote access using an Industry 4.0 interface on an open lab size automated production system (aPS), which has been available and used as a research community demonstrator for more than 5 years. Besides availability of evolution scenarios in various models and code, offering the possibility to conduct experiments from remote enables easier access and opportunities to interact with an aPS and provides a basis for concepts like production as a service and other research areas. The proposed concept is based on a model-driven approach that allows a dynamic reconfiguration of automation control code and generates a middleware interface. The middleware dynamically offers the possibility to retrieve information about the aPS and to control it via web services.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
PublisherIEEE Computer Society
Pages2058-2062
Number of pages5
ISBN (Electronic)9781538609484
DOIs
StatePublished - 2 Jul 2017
Event2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 - Singapore, Singapore
Duration: 10 Dec 201713 Dec 2017

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
Volume2017-December
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
Country/TerritorySingapore
CitySingapore
Period10/12/1713/12/17

Keywords

  • Industrial Plants
  • Industry 4.0
  • Production Systems

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