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.
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29 April 2019
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References
Ankolekar A, Others (2001) Daml-s: semantic markup for web services. In: First international conference on semantic web working, pp 411–430
Battle S et al (2005) Semantic Web Services Framework (SWSF) Overview, W3C member submission
Berners-Lee T, Hendler J, Lassila O (2001) The semantic web. Sci Am 284:28–37
Borgo S, Leitão P (2004) The role of foundational ontologies in manufacturing domain applications. In: OTM 2004, pp 670–688, Springer
Cheng H et al (2017) Ontology-based web service integration for flexible manufacturing systems. In: INDIN 2017, pp 351–356
Fensel D, Bussler C (2002) The web service modeling framework wsmf. Electronic commerce research and applications, pp 113–137
Hermit reasoner (2018) http://www.hermit-reasoner.com. Accessed 15 Aug 2018
Izaguirre MJAG et al (2011) Opc-ua and dpws interoperability for factory floor monitoring using complex event processing. In: INDIN, 2011, pp 205–211. IEEE
Katti B, Plociennik C, Schweitzer M (2018) GeSCo: exploring the edge beneath the cloud in decentralized manufacturing. Int J Adv Syst Meas v11,1&2:183–195
Katti B, Plociennik C, Schweitzer M (2018) SemOPC-UA: introducing semantics to OPC-UA application specific methods. IFAC Papers Online 51(11):1230–1236
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 appear
Kopeckỳ J (2007) Sawsdl: semantic annotations for wsdl and xml schema. IEEE Internet Comput 11(6):60–67
Lobov A et al (2009) Semantic web services framework for manufacturing industries. In: ROBIO 2008, pp 2104–2108
Owl api (2018) http://owlcs.github.io/owlapi. Accessed 15 Aug 2018
Protégé (2017) https://protege.stanford.edu. Accessed 15 Aug 2018
Res-com project (2018) http://www.res-com-projekt.de. Accessed 15 Aug 2018
Rohjans S et al (2011) Opc ua goes semantics: integrated communications in smart grids. In: Emerging technologies and factory automation, pp 1–4
Wsdl (2001) https://www.w3.org/TR/wsdl. Accessed 15 Aug 2018
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This research work is supported by a doctoral grant from SAP SE. A non-provisional patent, with ID 15/926,856, on the research of CMES controlled edge manufacturing has been filed in USA on 20-Mar-2018 with the authors as the inventors.
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Katti, B., Plociennik, C. & Schweitzer, M. A Jumpstart Framework for Semantically Enhanced OPC-UA. Künstl Intell 33, 131–140 (2019). https://doi.org/10.1007/s13218-019-00579-0
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DOI: https://doi.org/10.1007/s13218-019-00579-0