A digital twin is a virtual version of something real. It can represent a machine, building, vehicle, factory line, city system, or even a business process. The digital version is connected to data from the real thing, so people can monitor it, test changes, and understand how it behaves.
For example, a wind turbine may have sensors that report temperature, vibration, speed, and power output. A digital twin of that turbine can use the sensor data to show its current condition. Engineers can watch for problems, predict maintenance needs, and test what might happen under different wind conditions.
A digital twin is more than a simple 3D model. A model may only show shape. A useful digital twin includes live or updated data, rules, simulations, and history. It helps answer practical questions such as: Is this machine running normally? What part may fail soon? What happens if we change this setting?
Digital twins are used in manufacturing, healthcare, construction, energy, logistics, and smart buildings. They can also connect with spatial computing, where a person views data or instructions in the real environment.
The value of a digital twin is better decision-making. Instead of waiting for a system to fail or guessing how a change will work, teams can study the virtual version first. The quality of the twin depends on the quality of the data and the accuracy of the model.