Towards semantic self-description of industrial devices and control system interfaces

David Hästbacka, Alois Zoitl

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

    9 Citations (Scopus)

    Abstract

    Information systems in production environments control and gather data in operations integrating multiple devices and systems with various communication interfaces. With the development of smart industrial environments, needing to connect heterogeneous components into systems communicating over the Internet, integration and interoperability challenges emerge. Self-description is regarded as the capability of devices and systems to include descriptions expressing the offered services and information exchange. Further by semantic descriptions they can provide interpretable, meaningful information how to use the service interface but also how to interpret the capabilities and data. The paper presents a Semantic Web technology based approach to harmonize access and utilization of devices and control systems in distributed and dynamic environments. For this two standards based ontologies are developed: an industrial plant model for hierarchical structure and a state model for operational information of system components. To demonstrate the architecture and developed models the approach is applied to the components of a small-scale example industrial process.

    Original languageEnglish
    Title of host publication2016 IEEE International Conference on Industrial Technology (ICIT)
    PublisherIEEE
    Pages879-884
    Number of pages6
    ISBN (Print)9781467380751
    DOIs
    Publication statusPublished - 19 May 2016
    Publication typeA4 Article in conference proceedings
    EventIEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY -
    Duration: 1 Jan 1900 → …

    Conference

    ConferenceIEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY
    Period1/01/00 → …

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Computer Science Applications

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