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Asynchronous communication platform concept to coordinate large-scale industrial processes

    Research output: Contribution to journalArticleScientificpeer-review

    3 Citations (Scopus)

    Abstract

    To save the environment and costs, there is a clear need to optimise and coordinate large-scale industrial processes, but the task is challenging. Complex plants may run multiple unit processes that are operated with separate control systems, although the processes are interdependent. Often, optimisation requires appropriate scheduling for both continuous processes and batch processes. These requirements of coordination, asynchronism and distributed operation are difficult to conform to with the current tools or systems. Therefore, to ease optimisation, this study suggests a communication platform concept. The platform enables the use of mathematical models to manage and utilise knowledge about production processes. To promote adaptation to actual business cases and their future evolution, the platform design emphasises asynchronism, loose coupling of optimisation modules and systems as well as distributed operation. This work has received particular motivation from copper and steel production, as they both require materials refinement in multiple separate but mutually dependent steps. Several contributions are presented for the platform: requirements, architecture design and two proofs of concept. The results suggest that the concept would bring considerable business value in industrial production.

    Original languageEnglish
    Pages (from-to)1403-1408
    Number of pages6
    JournalIFAC-PapersOnLine
    Volume51
    Issue number11
    DOIs
    Publication statusPublished - 2018
    Publication typeA1 Journal article-refereed

    Funding

    This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 723661. This study reflects only the authors’ views, and the Commission is not responsible for any use that may be made of the information contained therein. The authors want to express their sincere gratitude to the funder and the project partners in the COCOP project (Coordinating Optimisation of Complex Industrial Processes, https://www.cocop-spire.eu/ ). Furthermore, the authors are grateful to the Academy of Finland for their funding (grant 310098).

    Keywords

    • Industry automation
    • Information systems
    • Knowledge-based systems
    • Optimization problems
    • System architectures
    • System integration

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Control and Systems Engineering

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