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A Jumpstart Framework for Semantically Enhanced OPC-UA

  • Badarinath KattiEmail author
  • Christiane Plociennik
  • Michael Schweitzer
Technical Contribution
  • 46 Downloads

Abstract

Decentralization is the norm of future smart production as it assists in contextual dynamic decision-making and thereby increases the flexibility required to produce highly customized products. When manufacturing business software is operated as a cloud based solution, it experiences network latency and connectivity issues. To overcome these problems, the production control should be delegated to the manufacturing edge layer and hence, the argument of decentralization is even more applicable to this narrative. In order to accomplish the assigned manufacturing task effectively, the edge layer is required to possess contextual awareness to make run-time decisions in production. Semantic technologies, on the other hand, assist in discerning the meaning, reasoning and drawing inferences from the data. There are several specifications and frameworks to automate the discovery, orchestration and invocation of web services; the prominent are OWL-S, SAWSDL and WSMO. This paper derives a hybrid approach that integrates OWL-S and SAWSDL specifications to overcome the downsides, yet retain the benefits of both approaches to the OPC-UA application methods. Consequently, the proposed semantically enriched OPC-UA concept enables the edge layer to create flexible production orchestration plans in a manufacturing scenario controlled by cloud MES. Furthermore, the derived hybrid approach is applied to a real use case to demonstrate its feasibility in industrial environments.

Keywords

Cloud MES GeSCo Edge Manufacturing OPC-UA Semantic Web Services SAWSDL OWL-S 

References

  1. 1.
    Ankolekar A, Others (2001) Daml-s: semantic markup for web services. In: First international conference on semantic web working, pp 411–430Google Scholar
  2. 2.
    Battle S et al (2005) Semantic Web Services Framework (SWSF) Overview, W3C member submissionGoogle Scholar
  3. 3.
    Berners-Lee T, Hendler J, Lassila O (2001) The semantic web. Sci Am 284:28–37CrossRefGoogle Scholar
  4. 4.
    Borgo S, Leitão P (2004) The role of foundational ontologies in manufacturing domain applications. In: OTM 2004, pp 670–688, SpringerGoogle Scholar
  5. 5.
    Cheng H et al (2017) Ontology-based web service integration for flexible manufacturing systems. In: INDIN 2017, pp 351–356Google Scholar
  6. 6.
    Fensel D, Bussler C (2002) The web service modeling framework wsmf. Electronic commerce research and applications, pp 113–137Google Scholar
  7. 7.
    Hermit reasoner (2018) http://www.hermit-reasoner.com. Accessed 15 Aug 2018
  8. 8.
    Izaguirre MJAG et al (2011) Opc-ua and dpws interoperability for factory floor monitoring using complex event processing. In: INDIN, 2011, pp 205–211. IEEEGoogle Scholar
  9. 9.
    Katti B, Plociennik C, Schweitzer M (2018) GeSCo: exploring the edge beneath the cloud in decentralized manufacturing. Int J Adv Syst Meas v11,1&2:183–195Google Scholar
  10. 10.
    Katti B, Plociennik C, Schweitzer M (2018) SemOPC-UA: introducing semantics to OPC-UA application specific methods. IFAC Papers Online 51(11):1230–1236CrossRefGoogle Scholar
  11. 11.
    Katti B, Plociennik C, Schweitzer M, Ruskowski M (2018) SA-OPC-UA: introducing semantics to OPC-UA application methods. In: 14th IEEE CASE Full Proceedings p. To appearGoogle Scholar
  12. 12.
    Kopeckỳ J (2007) Sawsdl: semantic annotations for wsdl and xml schema. IEEE Internet Comput 11(6):60–67CrossRefGoogle Scholar
  13. 13.
    Lobov A et al (2009) Semantic web services framework for manufacturing industries. In: ROBIO 2008, pp 2104–2108Google Scholar
  14. 14.
    Owl api (2018) http://owlcs.github.io/owlapi. Accessed 15 Aug 2018
  15. 15.
    Protégé (2017) https://protege.stanford.edu. Accessed 15 Aug 2018
  16. 16.
    Res-com project (2018) http://www.res-com-projekt.de. Accessed 15 Aug 2018
  17. 17.
    Rohjans S et al (2011) Opc ua goes semantics: integrated communications in smart grids. In: Emerging technologies and factory automation, pp 1–4Google Scholar
  18. 18.
    Wsdl (2001) https://www.w3.org/TR/wsdl. Accessed 15 Aug 2018

Copyright information

© Gesellschaft für Informatik e.V. and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.SAP SEWalldorfGermany
  2. 2.DFKI GmbHKaiserslauternGermany

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