ABSTRACT
Digital Twins are revolutionizing industries by creating virtual replicas of real-world entities to
simulate, analyze, and optimize operations. These intelligent models connect physical and
digital systems through real-time data, enabling predictive maintenance, operational efficiency,
and innovation. This report covers the foundational concepts, architecture, applications,
advantages, and future prospects of Digital Twins technology.
CHAPTER 1: INTRODUCTION
The concept of Digital Twins refers to the creation of a digital replica of a physical object,
system, or process. This digital representation is continuously updated using real-time data
from sensors, IoT devices, and cloud platforms. Digital Twins bridge the physical and digital
worlds, enabling simulation, analysis, and decision-making.
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REFERENCES
1. Fuller, A., Fan, Z., Day, C., & Barlow, C. (2020). Digital Twin: Enabling Technologies, Challenges,
and Open Research. IEEE Access.
2. Mohammadi, N., & Taylor, J. E. (2017). Smart city digital twins. IEEE SSCI.
3. Bilberg, A., & Malik, A. A. (2019). Digital twin driven human-robot collaborative assembly.
CIRP Annals.
4. Tao, F., Zhang, H., Liu, A., & Nee, A. Y. C. (2019). Digital Twin in Industry. IEEE Transactions on
Industrial Informatics.