Digital twin refers to the construction of virtual models of physical entities (such as equipment, systems, factories, or cities) in virtual space through digital technology, and the realization of virtual-real interaction and synchronization through real-time data connection. Digital twin technology utilizes technologies such as the Internet of Things (IoT), big data, artificial intelligence (AI), and cloud computing to achieve real-time monitoring, simulation, prediction, and optimization of physical entities.
Through sensors and data acquisition technology, the state, behavior, and environment of physical entities are mapped in real-time to virtual models.
The virtual model maintains dynamic synchronization with the physical entity, enabling it to reflect changes in the physical entity in real-time.
Based on historical and real-time data, virtual models can simulate different scenarios, predict future states, and optimize decisions.
By feeding back the optimization results of the virtual model to the physical entity, closed-loop control and continuous improvement can be achieved.
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