Service-oriented data acquisition and management for industrial cyber-physical systems

Wenbin Dai, Zhijie Zhang, Peng Wang, Valeriy Vyatkin, James H. Christensen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

With rapid improvement in information and communication technologies, industrial automation systems are under the revolution. Legacy industrial automation systems lack flexibility and interoperability due to multi-layered architecture. From industrial cyber-physical system point of view, a new system architecture is needed to allow vertical and horizontal integration between all devices and systems from enterprise level to sensor level. In this paper, a RESTful service-oriented architecture is proposed for industrial controllers. By adopting RESTful services over HTTP methods, better efficiency for data acquisition from sensors, actuators, and controllers is achieved. In addition, service-oriented device management for industrial controllers is also implemented along with data acquisition. The reference architecture experiments on a car manufacturing demonstration line.
Original languageEnglish
Title of host publicationProceedings of the 15th IEEE International Conference on Industrial Informatics, INDIN 2017
PublisherIEEE
Pages759-764
Number of pages6
ISBN (Electronic)978-1-5386-0837-1
DOIs
Publication statusPublished - 13 Nov 2017
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Industrial Informatics - Emden, Germany
Duration: 24 Jul 201726 Jul 2017
Conference number: 15

Publication series

NameIEEE International Conference on Industrial Informatics
PublisherIEEE
ISSN (Print)1935-4576
ISSN (Electronic)2378-363X

Conference

ConferenceIEEE International Conference on Industrial Informatics
Abbreviated titleINDIN
CountryGermany
CityEmden
Period24/07/201726/07/2017

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  • Cite this

    Dai, W., Zhang, Z., Wang, P., Vyatkin, V., & Christensen, J. H. (2017). Service-oriented data acquisition and management for industrial cyber-physical systems. In Proceedings of the 15th IEEE International Conference on Industrial Informatics, INDIN 2017 (pp. 759-764). [8104867] (IEEE International Conference on Industrial Informatics). IEEE. https://doi.org/10.1109/INDIN.2017.8104867