Digital Twin Technology: Creating Virtual Replicas for Smart Systems
This journal presents a comprehensive study of Digital Twin Technology and its role in creating virtual replicas of physical systems for real-time monitoring, simulation, and intelligent decision-making. It discusses the architecture, working principle, enabling technologies, lifecycle, applications, advantages, challenges, and future scope of digital twins. The journal also highlights real-world case studies and demonstrates how technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Cloud Computing, and Big Data work together to improve operational efficiency, predictive maintenance, and smart system management. Overall, the study emphasizes that Digital Twin Technology is a key component of Industry 4.0 and plays a vital role in enabling smarter, more efficient, and sustainable industrial and urban systems.