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Communication middleware technologies for industrial distributed control systems: A literature review
RISE - Research Institutes of Sweden, ICT, SICS.ORCID iD: 0000-0002-4473-7763
RISE - Research Institutes of Sweden, ICT, SICS.ORCID iD: 0000-0002-6657-2496
RighTel, Iran.
2018 (English)In: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, 2018, p. 1-6Conference paper, Published paper (Refereed)
Abstract [en]

Industry 4.0 is the German vision for the future of manufacturing, where smart factories use information and communication technologies to digitise their processes to achieve improved quality, lower costs, and increased efficiency. It is likely to bring a massive change to the way control systems function today. Future distributed control systems are expected to have an increased connectivity to the Internet, in order to capitalize on new offers and research findings related to digitalization, such as cloud, big data, and machine learning. A key technology in the realization of distributed control systems is middleware, which is usually described as a reusable software layer between operating system and distributed applications. Various middleware technologies have been proposed to facilitate communication in industrial control systems and hide the heterogeneity amongst the subsystems, such as OPC UA, DDS, and RTCORBA. These technologies can significantly simplify the system design and integration of devices despite their heterogeneity. However, each of these technologies has its own characteristics that may work better for particular applications. Selection of the best middleware for a specific application is a critical issue for system designers. In this paper, we conduct a survey on available standard middleware technologies, including OPC UA, DDS, and RT-CORBA, and show new trends for different industrial domains.

Place, publisher, year, edition, pages
2018. p. 1-6
Keywords [en]
Application programs, Big data, Computer software reusability, Factory automation, Learning systems, Middleware, Systems analysis, Communication middleware, Design and integrations, Distributed applications, Industrial control systems, Information and Communication Technologies, Literature reviews, Middleware technology, Reusable softwares, Distributed parameter control systems
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-34467DOI: 10.1109/ETFA.2017.8247730Scopus ID: 2-s2.0-85044467676ISBN: 9781509065059 (print)OAI: oai:DiVA.org:ri-34467DiVA, id: diva2:1238285
Conference
22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017, 12 September 2017 through 15 September 2017
Available from: 2018-08-13 Created: 2018-08-13 Last updated: 2018-08-13Bibliographically approved

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Balador, AliEricsson, Niclas

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