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Data-driven and Event-driven Integration Architecture for Plant-wide Industrial Process Monitoring and Control

D. Hästbacka, P. Kannisto, and M. Vilkko, "Data-driven and Event-driven Integration Architecture for Plant-wide Industrial Process Monitoring and Control", in 44th Annual Conference of the IEEE Industrial Electronics Society (IECON), 2018, pp. 2979-2985. DOI: 10.1109/IECON.2018.8591323

ISSN2577-1647
Copyright© IEEE
ConferenceIECON , Washington D.C., USA
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APA

Hästbacka, D., Kannisto, P., & Vilkko, M. (2018). Data-driven and Event-driven Integration Architecture for Plant-wide Industrial Process Monitoring and Control. 44th Annual Conference of the IEEE Industrial Electronics Society – IECON (pp. 2979-2985). IEEE. https://doi.org/10.1109/IECON.2018.8591323
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Bibtex

@inproceedings{hastbacka_et_al2018datadriven,
    year = {2018},
    author = {Hästbacka, David and Kannisto, Petri and Vilkko, Matti},
    title = {Data-driven and Event-driven Integration Architecture for Plant-wide Industrial Process Monitoring and Control},
    pages = {2979-2985},
    booktitle = {44th Annual Conference of the IEEE Industrial Electronics Society (IECON)},
    issn = {2577-1647},
    publisher = {IEEE},
    doi = {10.1109/IECON.2018.8591323},
    url = {https://doi.org/10.1109/IECON.2018.8591323}
}
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IEEEtran

D. Hästbacka, P. Kannisto, and M. Vilkko, "Data-driven and Event-driven Integration Architecture for Plant-wide Industrial Process Monitoring and Control", in 44th Annual Conference of the IEEE Industrial Electronics Society (IECON), 2018, pp. 2979-2985. DOI: 10.1109/IECON.2018.8591323
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Research project(s): COCOP

Keywords

Process control; Production; Monitoring; Computer architecture; Control systems; Optimization; Modeling

Abstract

Efficiency of industrial processes and a high quality of the products can be achieved with advanced monitoring and control solutions. In addition, industrial processes often consume large amounts of energy and through their efficiency and use of resources also have a significant environmental impact. For industrial process optimisation it is necessary to integrate distributed data and functionality into plant-wide coordinating level solutions. From an implementation point of view this is challenging due to different communication protocols and messaging structures. In this paper an integration architecture is proposed that decouples control systems using a message bus mediator approach. The mediator acts as a unified point of access that through adapters facilitates integration of existing control systems to advanced plant-wide data-driven and event-driven control. It is demonstrated with a laboratory case presenting two examples applicable to real-life industrial problems.