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Features, Model And Challenges Of Digital Twins

Author

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  • Mariya Armyanova

    (University of Economics - Varna / Department of Informatics, Varna, Bulgaria)

Abstract

The development of digital twins is due to the development of IoT technology, combined with the growing capabilities of AI and augmented reality. Digital twins are models based on a very large amount of data about real objects and are used to remotely maintain, monitor, model and predict the behavior of the real object. They can be applied in a variety of industries and are valuable for improving productivity, reducing downtime and improving overall efficiency. Against this background, some challenges related to cybersecurity and interoperability, data protection and malicious, responsibility for data quality, reliability, governance and trust in technology use also stand out. The report shows the peculiarities of modeling and some challenges to technology.

Suggested Citation

  • Mariya Armyanova, 2024. "Features, Model And Challenges Of Digital Twins," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 113-121.
    • Handle: RePEc:vrn:katinf:y:2024:i:1:p:113-121
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    File URL: https://informatics.ue-varna.bg/ICTBE2024/ICTBE2024_113-121.pdf
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    More about this item

    Keywords

    Digital Twin; Internet of Things; Artificial Intelligence; Big Data; Federated Learning;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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