Digital Twin

A Digital Twin is a dynamic digital representation of a physical object, system, or process. By creating a virtual counterpart, it allows for real-time monitoring, analysis, and simulation. This technology leverages data from sensors embedded in the physical entity to continuously update and refine the digital model. It enables users to simulate various scenarios, predict outcomes, and optimize performance without disrupting the actual system. Digital Twins are widely used in industries like manufacturing, aerospace, and urban planning to improve efficiency, reduce costs, and enhance decision-making. By integrating data analytics and machine learning, they provide valuable insights into the operational status and potential future performance of their physical counterparts.