Abstract
A Digital Mirror, also known as a Digital Twin, is a computer-based model that acts as a mirror of a real-world system, object, or process. Unlike traditional simulations, a Virtual Twin is continuously updated with data from sensors, connected devices, and other digital sources. This real-time link allows the twin to not only represent the current state of the system but also predict its future behavior under different conditions. By combining technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), cloud computing, and data analytics, Virtual Twins create a powerful tool for monitoring, analysis, and decision-making. This paper provides an overview of how Virtual Twins are built, the technologies that support them, and their real-world applications. It also highlights the key benefits such as cost reduction, improved safety, sustainability, and faster +-costs, data security concerns, and technical complexity. The aim is to show how Virtual Twins are transforming industries and why they represent an essential step toward smarter, more sustainable systems in the future.
Citations
IRE Journals:
Tayiba Fatima , Noor Saba
"Digital Mirror of Physical Systems: Applications and Future Scope" Iconic Research And Engineering Journals Volume 9 Issue 4 2025 Page 293-296
IEEE:
Tayiba Fatima , Noor Saba
"Digital Mirror of Physical Systems: Applications and Future Scope" Iconic Research And Engineering Journals, 9(4)
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