Skip to main content
SpringerLink
Log in

Development of an Event-Driven System Architecture for Smart Manufacturing

  • Conference paper
  • First Online:
Computational Science – ICCS 2022 (ICCS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13352))

Included in the following conference series:

  • 1333 Accesses

Abstract

This paper describes the automated production data acquisition and integration process in the architectural pattern Tweeting Factory. This concept allows the use of existing production equipment with PLCs and the use of industrial IoT prepared for Industry 4.0. The main purpose of the work is to propose an event-driven system architecture and to prove its correctness and efficiency. The proposed architecture is able to perform transformation operations on the collected data. The simulation tests were carried out using real data from the factory shop-floor, services prepared for production monitoring, allowing the calculation of KPIs. The correctness of the solution is confirmed on 20 production units by comparing its results with the blackboard architecture using SQL queries. Finally, the response time for calculating ISO 22400 performance indicators is examined and it was verified that the presented solution can be considered as a real-time system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://www.rabbitmq.com/.

  2. 2.

    https://activemq.apache.org/.

  3. 3.

    https://pypi.org/project/pika/.

  4. 4.

    https://podman.io/.

References

  1. Çetiner, G., Ismail, A., Hassan, A.: Ontology of manufacturing engineering. In: 5th International Advanced Technologies Symposium, p. 6 (2009)

    Google Scholar 

  2. De Ron, A., Rooda, J.: Equipment effectiveness: OEE revisited. IEEE Trans. Semicond. Manuf. 18(1), 190–196 (2005)

    Article  Google Scholar 

  3. Dressler, N.: Towards The Tweeting Factory. Master’s thesis, KTH Industrial Engineering and Management, SE-100 44 Stockholm (2015)

    Google Scholar 

  4. Feeney, A.: The step modular architecture. J. Comput. Inf. Sci. Eng. 2(2), 132–135 (2002)

    Article  Google Scholar 

  5. Gittler, T., Gontarz, A., Weiss, L., Wegener, K.: A fundamental approach for data acquisition on machine tools as enabler for analytical industrie 4.0 applications. Procedia CIRP 79, 586–591 (2019)

    Article  Google Scholar 

  6. Hoffmann, M.: Smart Agents for the Industry 4.0, 1st edn. Springer Vieweg, Heidelberg (2019). https://doi.org/10.1007/978-3-658-27742-0

    Book  Google Scholar 

  7. Kos, T., Kosar, T., Mernik, M.: Development of data acquisition systems by using a domain-specific modeling language. Comput. Ind. 63(3), 181–192 (2012)

    Article  Google Scholar 

  8. Lennartson, B., Bengtsson, K., Wigström, O., Riazi, S.: Modeling and optimization of hybrid systems for the tweeting factory. IEEE Trans. Autom. Sci. Eng. 13(1), 191–205 (2016)

    Article  Google Scholar 

  9. Nelson, L.: The Anderson-Darling test for normality. J. Qual. Technol. 30(3), 298–299 (1998)

    Article  Google Scholar 

  10. Schütze, A., Helwig, N., Schneider, T.: Sensors 4.0 - smart sensors and measurement technology enable industry 4.0. J. Sensors Sensor Syst. 7(1), 359–371 (2018)

    Article  Google Scholar 

  11. Theorin, A., et al.: An event-driven manufacturing information system architecture. IFAC-PapersOnLine 48(3), 547–554 (2015)

    Article  Google Scholar 

  12. Theorin, A., et al.: An event-driven manufacturing information system architecture for industry 4.0. Int. J. Prod. Res. 55(5), 1297–1311 (2017)

    Article  Google Scholar 

  13. Tursi, A.: Ontology-Based approach for Product-Driven interoperability of enterprise production systems. Phd thesis, Université Henri Poincaré - Nancy 1, Politecnico di Bari (2009)

    Google Scholar 

  14. Wang, G., Zhang, G., Guo, X., Zhang, Y.: Digital twin-driven service model and optimal allocation of manufacturing resources in shared manufacturing. J. Manuf. Syst. 59, 165–179 (2021)

    Article  Google Scholar 

  15. Woolf, B.: Enterprise Integration Patterns: Designing, Building, and Deploying Messaging, 1st edn. Addison-Wesley, Boston (2003)

    Google Scholar 

  16. Yan, X.: Knowledge Acquisition from Streaming Data through a Novel Dynamic Clustering Algorithm. Phd thesis, North Carolina Agricultural and Technical State University (2018)

    Google Scholar 

  17. Zhao, L., Chuang, Z., Ke-Fu, X., Meng-Meng, C.: A computing model for real-time stream processing. In: 2014 International Conference on Cloud Computing and Big Data, pp. 134–137 (2014)

    Google Scholar 

Download references

Acknowledgment

Part of the work presented in this paper was received financial support from the statutory funds at the Wrocław University of Science and Technology and DSR Ltd.

Author information

Authors and Affiliations

  1. Faculty of Information and Communication Technology, Wrocław University of Science and Technology, Wrocław, Poland

    Maksymilian Piechota & Mikołaj Nowak

  2. Department of Applied Informatics, Wrocław University of Science and Technology, Wrocław, Poland

    Dariusz Król

Authors
  1. Maksymilian Piechota
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mikołaj Nowak
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dariusz Król
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dariusz Król .

Editor information

Editors and Affiliations

  1. Brunel University London, London, UK

    Derek Groen

  2. University of Amsterdam, Amsterdam, The Netherlands

    Clélia de Mulatier

  3. AGH University of Science and Technology, Krakow, Poland

    Maciej Paszynski

  4. University of Amsterdam, Amsterdam, The Netherlands

    Valeria V. Krzhizhanovskaya

  5. University of Tennessee at Knoxville, Knoxville, TN, USA

    Jack J. Dongarra

  6. University of Amsterdam, Amsterdam, The Netherlands

    Peter M. A. Sloot

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Piechota, M., Nowak, M., Król, D. (2022). Development of an Event-Driven System Architecture for Smart Manufacturing. In: Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2022. ICCS 2022. Lecture Notes in Computer Science, vol 13352. Springer, Cham. https://doi.org/10.1007/978-3-031-08757-8_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-08757-8_38

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-08756-1

  • Online ISBN: 978-3-031-08757-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation