Monitoring of Production Processes and the Condition of the Production Equipment through the Internet

Jari Halme, Erkki Jantunen, David Hästbacka, Csaba Hegedűs, Pal Varga, Mikael Björkbom, Heikki Mesiä, Rupesh More, Antti Jaatinen, Laurentiu Barna, Pasi Tuominen, Henri Pettinen, Marko Elo, Martin Larrañaga

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

    13 Citations (Scopus)

    Abstract

    The decreasing prices of monitoring equipment have vastly increased the opportunities to utilize local data, and data processing for wider global web-based monitoring purposes. The possible amount of data flowing though different levels can be huge. Now the question is how to handle this opportunity in both dynamic and secure way. The paper presents a new concept to manage data for monitoring through the Internet. The concept is based on the use of Arrowhead Framework (AF) and MIMOSA data model, and selected edge, and gateway devices together with cloud computing opportunities. The concept enables the flexible and secure orchestration of run-time data sources and the utilization of computational services for various process and condition monitoring needs.
    Original languageEnglish
    Title of host publication6th International Conference on Control, Decision and Information Technologies, CoDIT 2019
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages1295-1300
    ISBN (Electronic)978-1-7281-0521-5
    DOIs
    Publication statusPublished - 2019
    MoE publication typeA4 Article in a conference publication
    Event6th International Conference on Control, Decision and Information Technologies - Paris, France
    Duration: 23 Apr 201926 Apr 2019

    Conference

    Conference6th International Conference on Control, Decision and Information Technologies
    Abbreviated titleCoDIT'19
    Country/TerritoryFrance
    CityParis
    Period23/04/1926/04/19

    Funding

    Research leading to these results has received funding from the EU ECSEL Joint Undertaking under grant agreement n◦ 737459 (project Productive4.0) and from the partners’ national programmes/funding authorities (Business Finland).

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