Abstract
Digital Twin (DT) is envisioned as a critical technology to revolutionize the manufacturing and maintenance of real-life gadgets shortly. It is a system collection that goes beyond traditional simulation and analysis techniques. It converts a physical system’s components, operations, dynamics, and firm-ware into a digital equivalent. Physical and digital systems share all inputs, outputs, and processes via real-time data connections and information transmission. Digital twins’ models speed up human user efficiency, reduce wear on real-world systems, and promote creativity and innovation while posing the fewest operational risks in industry 5.0. We have discussed Digital Twins’ concept, applications, methodologies, and research scope in detail in this paper. The study contains a systematic review of the architecture and operation of digital twins along with a contextual taxonomy of application domains like manufacturing, healthcare, and smart cities.
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Mazumder, A., Banerjee, P.S., Karmakar, A., Ghosh, P., De, D., Song, H. (2023). Digital Twin for Industry 5.0: A Vision, Taxonomy, and Future Directions. In: Bhattacharyya, S., Banerjee, J.S., De, D., Mahmud, M. (eds) Intelligent Human Centered Computing. Human 2023. Springer Tracts in Human-Centered Computing. Springer, Singapore. https://doi.org/10.1007/978-981-99-3478-2_22
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