What defines a digital twin?

A digital twin is defined as a virtual representation of physical objects or processes. This concept involves creating a dynamic digital model that mirrors a physical counterpart, enabling real-time data analysis and simulation of processes. The primary purpose of a digital twin is to improve understanding, performance, and decision-making associated with the physical entity.

Digital twins integrate various data sources, including sensors and IoT devices, to provide an accurate and up-to-date digital model that can change as the actual physical object or process changes. This relationship allows for predictive analytics, maintenance forecasting, and performance optimization, making it a powerful tool in various industries such as manufacturing, healthcare, and urban planning.

Other options do not align with the core concept of a digital twin. Predictive outcomes reflect a limited aspect of what a digital twin can do, and a social media simulation or method for data encryption do not pertain to the definition or functionality of digital twins.