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The Conceptual Design of a Data Collection System for Predictive Maintenance

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Networks and Systems in Cybernetics (CSOC 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 723))

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Abstract

The core of this work is the design of a conceptual data collection system for predictive maintenance. As a physical device for data collection is the automatic production line – Festo AFB Factory. Via the designed data collection architecture, which consists of several layers, it is possible to obtain complex data from the physical device. The designed system considers the momentary state of the device, it has the ability of a prediction of a future state and that all on the basis of the collected data. Simultaneously thanks to decision-making processes within the Intelligent Devices System (IDS), it is possible to achieve a wider overview about the state of the devices and eventually determine a percentual probability of a malfunction occurrence or a collapse of the given device. The advantage of this kind of solution making is the instant interaction with the induced failure in the production process and a prospective machine shutdown.

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Acknowledgment

This publication is the result of the implementation of the project VEGA 1/0193/22: “Proposal of identification and monitoring of production equipment parameters for the needs of predictive maintenance in accordance with the concept of Industry 4.0 using Industrial IoT technologies.” supported by the VEGA.

This contribution was published with the support of the Operational Program Integrated Infrastructure within the project of “Výskum v sieti SANET a možnosti jej ďalšieho využitia a rozvoja, code ITMS 313011W988 (Research into SANET and options of its further utilisation and development), co-financed by the ERDF”.

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Authors and Affiliations

  1. Faculty of Materials Science and Technology, Trnava Slovak University of Technology, Trnava, Bratislava, Slovakia

    Lenka Halenarova, Igor Halenar & Pavol Tanuska

Authors
  1. Lenka Halenarova
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  2. Igor Halenar
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  3. Pavol Tanuska
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Corresponding author

Correspondence to Lenka Halenarova .

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Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic

    Petr Silhavy

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Halenarova, L., Halenar, I., Tanuska, P. (2023). The Conceptual Design of a Data Collection System for Predictive Maintenance. In: Silhavy, R., Silhavy, P. (eds) Networks and Systems in Cybernetics. CSOC 2023. Lecture Notes in Networks and Systems, vol 723. Springer, Cham. https://doi.org/10.1007/978-3-031-35317-8_15

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