Digital Twin
A Digital Twin is a virtual representation of a physical object, process, or system that serves as a real-time digital counterpart, enabling monitoring, analysis, and optimization.
Digital twins combine real-world data from sensors and other sources with advanced simulation and modelling capabilities to create an exact digital replica. This virtual model continuously updates as its physical counterpart changes, allowing organisations to monitor performance, predict problems, and optimise operations without interfering with the actual system.
The technology leverages various data types, including IoT sensors, historical information, and real-time operational data to maintain synchronisation between the physical and digital versions. Digital twins can range from simple components to complex systems like entire factories or cities, providing valuable insights for decision-making and process improvement.
Examples
- Manufacturing equipment monitoring
- Smart city planning and management
- Aircraft engine performance tracking
- Building energy optimisation
- Healthcare patient monitoring
- Supply chain logistics modelling