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Reference Architectures for Industry 4.0

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Reference Architectures for Critical Domains
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Abstract

The adoption of Industry 4.0 requires reconsideration of plant software architecture due to the strict layers of the automation pyramid hindering the implementation of central Industry 4.0 use cases like the changeable plant. Thus, plant software architecture has to change and, for example, adopt concepts such as the digital twin. In this chapter, we provide an overview of current challenges of the status quo of software architecture in Industry 4.0 and describe how they are solved by reference architectures. Furthermore, we provide guidance on how to classify use cases and reference architectures of Industry 4.0 according to various reference architecture models.

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Notes

  1. 1.

    A German board consisting of industry and research companies working to define the future concepts of Industry 4.0(see https://www.plattform-i40.de/IP/Navigation/EN/Home/home.html)

  2. 2.

    https://www.basys40.de/ (German)

  3. 3.

    https://www.softwaresysteme.pt-dlr.de/media/content/Projektblatt_BaSys_PLM.pdf (German)

  4. 4.

    https://www.softwaresysteme.pt-dlr.de/img/content/BaSys4SupplyQ.pdf (German)

  5. 5.

    https://www.softwaresysteme.pt-dlr.de/media/content/Projektblatt_DigiPro4BaSys.pdf (German)

  6. 6.

    https://www.eclipse.org/basyx/

  7. 7.

    https://www.eclipse.org/basyx/

References

  1. R. Drath, A. Horch, Industrie 4.0: Hit or hype?[industry forum]. IEEE Ind. Electron. Mag. 8(2), 56–58 (2014)

    Article  Google Scholar 

  2. W. Shen, D.H. Norrie, Agent-based systems for intelligent manufacturing: a state-of-the-art survey. Knowl. Inf. Syst. 1(2), 129–156 (1999)

    Article  Google Scholar 

  3. Roser, Christoph: BWorld Robot Control Software. https://enwikipedia.org/wiki/File:Industry_4.0.png. Last Accessed 13 November 2021

  4. International Electrotechnical Commission, IEC 62264–1 Enterprise-control system integration–Part 1: Models and terminology (IEC, Genf, 2003)

    Google Scholar 

  5. Programmable Controllers—Part 3: Programming Languages, International Electrotechnical Commission, IEC, International Standard IEC61131-3, 2003

    Google Scholar 

  6. N. Bauer, R. Huuck, B. Lukoschus, S. Engell, A unifying semantics for sequential function charts, in Integration of software specification techniques for applications in engineering, (Springer, Berlin, Heidelberg, 2004), pp. 400–418

    Chapter  Google Scholar 

  7. V. Vyatkin, Software engineering in industrial automation: State-of-the-art review. IEEE Transactions on Industrial Informatics 9(3), 1234–1249 (2013)

    Article  Google Scholar 

  8. Plattform Industrie 4.0, Anwendungsszenarien. https://www.plattform-i40.de/PI40/Redaktion/DE/Downloads/Publikation/fortschreibung-anwendungsszenarien.pdf. Last Accessed 13 November 2021

  9. F. Schnicke, T. Kuhn, P.O. Antonino, Enabling industry 4.0 service-oriented architecture through digital twins, in European Conference on Software Architecture, (Springer, Cham, 2020)

    Google Scholar 

  10. J. Knodel, M. Naab, Pragmatic evaluation of software architectures, vol 1 (Springer International Publishing, Cham, 2016)

    Book  Google Scholar 

  11. ISO/IEC. Systems and software engineering – Systems and software Quality Requirements and Evaluation (SQuaRE) – System and software quality models. ISO, 2011

    Google Scholar 

  12. K. Zhou, T. Liu, L. Zhou, Industry 4.0: Towards future industrial opportunities and challenges, in 2015 12th International conference on fuzzy systems and knowledge discovery (FSKD), (IEEE, Zhangjiajie, 2015)

    Google Scholar 

  13. F. Schnicke et al., Architecture blueprint enabling distributed digital twins, in 7th Conference on the Engineering of Computer Based Systems, (Association for Computing Machinery, New York, NY, 2021)

    Google Scholar 

  14. P.O. Antonino et al., Blueprints for architecture drivers and architecture solutions for Industry 4.0 shopfloor applications, in Proceedings of the 13th European Conference on Software Architecture-Volume 2, ECSA ‘19, 261268, (Association for Computing Machinery, New York, NY, USA, 2019)

    Google Scholar 

  15. H. Koziolek et al., OpenPnP: a plug-and-produce architecture for the industrial internet of things, in 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP), (IEEE, Montreal, QC, 2019)

    Google Scholar 

  16. SPEC, DIN. 91345: 2016-04 Reference Architecture Model Industrie 4.0 (RAMI4. 0). DIN 4 (2016), 2016

    Google Scholar 

  17. Industry IoT Consortium, IIRA. https://www.iiconsortium.org/IIRA.htm. Last Accessed 13 November 2021

  18. W. Kritzinger et al., Digital Twin in manufacturing: A categorical literature review and classification. IFAC-PapersOnLine 51(11), 1016–1022 (2018)

    Article  Google Scholar 

  19. E. Glaessgen, D. Stargel, The digital twin paradigm for future NASA and U.S. air force vehicles, in Proceedings of the 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference (10.2514/6.2012-1818), 2012

    Google Scholar 

  20. C. Wagner et al., The role of the Industry 4.0 asset administration shell and the digital twin during the life cycle of a plant, in 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), (IEEE, Cyprus, 2017)

    Google Scholar 

  21. Plattform Industrie 4.0, Details of the Asset Administration Shell Part 1. https://www.plattform-i40.de/PI40/Redaktion/EN/Downloads/Publikation/Details-of-the-Asset-Administration-Shell-Part1.html. Last Accessed 13 November 2021

  22. Plattform Industrie 4.0, Details of the Asset Administration Shell Part 2. https://www.plattform-i40.de/IP/Redaktion/DE/Downloads/Publikation/Details_of_the_Asset_Administration_Shell_Part_2_V1.html. Last Accessed 13 November 2021

  23. T. Kuhn, P.O. Antonino, F. Schnicke, Industrie 4.0 virtual automation bus architecture, in European Conference on Software Architecture, (Springer, Cham, 2020)

    Google Scholar 

  24. T. Lins et al., Industry 4.0 retrofitting, in 2018 VIII Brazilian Symposium on Computing Systems Engineering (SBESC), (IEEE, Salvador, 2018)

    Google Scholar 

  25. L. Kassner, C. Gröger, J. Königsberger, E. Hoos, C. Kie-fer, C. Weber, S. Silcher, B. Mitschang, The Stuttgart IT architecture for manufacturing. An architecture for the data-driven factory, in Enterprise Information Systems (ICEIS) 2016. Revised selected papers, (Springer, Cham, 2017)

    Google Scholar 

  26. P. Leitão et al., Instantiating the PERFORM system architecture for industrial case studies, in International workshop on service orientation in holonic and multi-agent manufacturing, (Springer, Cham, 2016)

    Google Scholar 

  27. N. Chakravorti et al., Validation of PERFoRM reference architecture demonstrating an automatic robot reconfiguration application, in 2017 IEEE 15th International Conference on Industrial Informatics (INDIN), (IEEE, Emden, 2017)

    Google Scholar 

  28. N. Chakravorti et al., Validation of PERFoRM reference architecture demonstrating an application of data mining for predicting machine failure. Procedia CIRP 72, 1339–1344 (2018)

    Article  Google Scholar 

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Correspondence to Frank Schnicke .

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Schnicke, F., Kuhn, T. (2023). Reference Architectures for Industry 4.0. In: Nakagawa, E.Y., Oliveira Antonino, P. (eds) Reference Architectures for Critical Domains . Springer, Cham. https://doi.org/10.1007/978-3-031-16957-1_7

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  • DOI: https://doi.org/10.1007/978-3-031-16957-1_7

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