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Data Acquisition System for Developing Digital Twin Solutions: A Practical Guide

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Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future (SOHOMA 2023)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1136))

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Abstract

This paper presents a Digital Twin implementation solution that integrates Internet of Things (IoT), cyber-physical systems (CPS) and data models to monitor manufacturing processes and equipment. The core of this solution revolves around the effective combination of IoT and CPS to enable real-time data collection, analysis, and communication between physical and virtual entities. The IoT infrastructure plays a crucial role in connecting the physical components to their digital counterparts, enabling data exchange and analysis. Simultaneously, the cyber-physical system acts as the backbone of the Digital Twin, synchronizing the real and virtual environments and ensuring accurate representation and response. The solution emphasizes the importance of interoperability and modularity, allowing for easy integration with existing manufacturing systems and Industry 4.0 applications. The open architecture design promotes the scalability of the solution, making it suitable for various industries and applications, including but not limited to automotive, aerospace, and consumer electronics.

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Author information

Authors and Affiliations

  1. Department of Automation and Applied Informatics, University Politehnica of Bucharest, Bucharest, Romania

    Silviu Răileanu, Theodor Borangiu, Ionuț Lențoiu, Florin Anton & Radu Negoiţă

Authors
  1. Silviu Răileanu
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  2. Theodor Borangiu
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  3. Ionuț Lențoiu
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  4. Florin Anton
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  5. Radu Negoiţă
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Corresponding author

Correspondence to Silviu Răileanu .

Editor information

Editors and Affiliations

  1. Faculty of Automatic Control and Computer Science (Automatica), University Politehnica of Bucharest, Bucharest, Romania

    Theodor Borangiu

  2. UPHF, LAMIH UMR CNRS 8201, Université Polytechnique Hauts de France, Valenciennes cedex 9, France

    Damien Trentesaux

  3. Polytechnic Institute of Bragança, Braganca, Portugal

    Paulo Leitão

  4. Polytech Annecy-Chambéry, LISTIC, Annecy, France

    Lamia Berrah

  5. SYMME, Polytech Annecy-Chambéry, Annecy, France

    Jose-Fernando Jimenez

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Răileanu, S., Borangiu, T., Lențoiu, I., Anton, F., Negoiţă, R. (2024). Data Acquisition System for Developing Digital Twin Solutions: A Practical Guide. In: Borangiu, T., Trentesaux, D., Leitão, P., Berrah, L., Jimenez, JF. (eds) Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. SOHOMA 2023. Studies in Computational Intelligence, vol 1136. Springer, Cham. https://doi.org/10.1007/978-3-031-53445-4_4

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