Digital Twin : Architecture , Enabling Technologies , Applications and Challenges

A Digital Twin represents a digital counterpart to a physical entity that is connected through data sensing; models, simulation, analytics, visualisation, and artificial intelligence are combined to represent changing physical conditions. This paper presents an extensive study of Digital Twin technology, including its concept, characteristics, architecture, data pipeline, modelling approaches, lifecycle, enabling technologies, applications, benefits, limitations, cybersecurity requirements, and future directions. The discussion covers manufacturing, healthcare, transportation, energy, buildings, agriculture, smart cities, education, and other areas. The paper also explains how Digital Twins differ from static digital models and simulations, how physical and digital environments exchange information and how the technology can support monitoring, prediction, optimisation, maintenance, training, and decision-making.