FEATURES, MODEL AND CHALLENGES OF DIGITAL TWINS

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

Conferences of the department Informatics, 2024, issue 1, 113-121

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.

Keywords: Digital Twin; Internet of Things; Artificial Intelligence; Big Data; Federated Learning (search for similar items in EconPapers)
JEL-codes: C8 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:vrn:katinf:y:2024:i:1:p:113-121

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