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Smart Counting Machines for Modular Industry 4.0 Packing Lines

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F23%3A00374340" target="_blank" >RIV/68407700:21730/23:00374340 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://doi.org/10.1016/j.ifacol.2023.10.1422" target="_blank" >https://doi.org/10.1016/j.ifacol.2023.10.1422</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ifacol.2023.10.1422" target="_blank" >10.1016/j.ifacol.2023.10.1422</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Smart Counting Machines for Modular Industry 4.0 Packing Lines

  • Popis výsledku v původním jazyce

    The current volatility on the global market presents new challenges in production system engineering and control. On the one hand, packaging and packaging production systems must support increasing production volumes. On the other hand, market volatility requires more flexible production that is fragmented into smaller batches, which causes increased time, effort, and overall workload implied by changeovers between different production setups. Typically, it is not feasible to build a green-field generation of production sites that conforms to all design principles of Industry 4.0. Therefore, the addressed approach deals with a “smartification” of legacy hardware components, bridging multiple levels of the traditional automation pyramid, improving human-machine collaboration, and transforming human experience into a common shared knowledge base. In more detail, we are applying unsupervised learning methods to generalize individual machine settings into reusable and automatically applicable control setups and strategies. The core components of the addressed packing lines are counting machines that deliver the required portions of elements. The developed Smart Counting Machines retain current interfaces that are enhanced with new enhancements providing OPC UA communication and modular control layer. The realized solution has been deployed and tested in a real packing line of our industrial partner. The lessons learned in the presented mitigate barriers on the journey from the proof-of-concept phase to the full production deployment.

  • Název v anglickém jazyce

    Smart Counting Machines for Modular Industry 4.0 Packing Lines

  • Popis výsledku anglicky

    The current volatility on the global market presents new challenges in production system engineering and control. On the one hand, packaging and packaging production systems must support increasing production volumes. On the other hand, market volatility requires more flexible production that is fragmented into smaller batches, which causes increased time, effort, and overall workload implied by changeovers between different production setups. Typically, it is not feasible to build a green-field generation of production sites that conforms to all design principles of Industry 4.0. Therefore, the addressed approach deals with a “smartification” of legacy hardware components, bridging multiple levels of the traditional automation pyramid, improving human-machine collaboration, and transforming human experience into a common shared knowledge base. In more detail, we are applying unsupervised learning methods to generalize individual machine settings into reusable and automatically applicable control setups and strategies. The core components of the addressed packing lines are counting machines that deliver the required portions of elements. The developed Smart Counting Machines retain current interfaces that are enhanced with new enhancements providing OPC UA communication and modular control layer. The realized solution has been deployed and tested in a real packing line of our industrial partner. The lessons learned in the presented mitigate barriers on the journey from the proof-of-concept phase to the full production deployment.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/EF16_026%2F0008432" target="_blank" >EF16_026/0008432: Klastr 4.0 - Metodologie systémové integrace</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Ostatní

  • Rok uplatnění

    2023

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    22nd IFAC World Congress

  • ISBN

  • ISSN

    2405-8963

  • e-ISSN

    2405-8963

  • Počet stran výsledku

    6

  • Strana od-do

    2976-2981

  • Název nakladatele

    Elsevier Ltd

  • Místo vydání

    Oxford

  • Místo konání akce

    Yokohama

  • Datum konání akce

    9. 7. 2023

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku