Digital twin
lastmod 2025-03-14created 2025-03-142 edits
A digital twin (Digital Twin) is a technology that digitally models a real-world physical object or process to collect and analyze information in real time.
The digital twin emerged in 2002 when Dr. Michael Grieves in the United States described it as an ideal model for product lifecycle management (PLM). Dr. John Vickers of NASA named this concept the digital twin, and after NASA included digital twins in its space exploration technology roadmap in 2010, it continued to be used in the space industry. Later, as GE applied digital twin models to its own products such as engines and turbines, the concept became widely known, which even led to General Electric (GE) of the United States being mistaken for the originator of the digital twin. It is a technology that creates a twin of a real-world object in a computer and simulates situations that could occur in reality to predict outcomes in advance. The digital twin draws attention as a technology that can solve problems not only in manufacturing but across various industries and society. Fundamentally, it is a combination of data and information representing the structure, context, and operation of various physical systems, and can be described as an interface for understanding past and present operating states and predicting the future. As a powerful digital object that can be used to optimize the physical world, it can greatly improve operational performance and business processes.