What is a digital twin?

A digital twin is defined as a virtual representation of a physical object or system. This concept allows for the creation of a digital model that mirrors the characteristics and behavior of a real-world counterpart. Digital twins are used across various industries, such as manufacturing, healthcare, and urban planning, to simulate real-time performance, predict outcomes, and facilitate data-driven decision-making.

The ability of a digital twin to continuously receive data from its physical counterpart allows for monitoring, analysis, and optimization, which enhances operational efficiency and helps in the maintenance of the actual object or system. By utilizing sensors and IoT technology, digital twins can reflect changes and improvements in the real-world system, making them powerful tools for innovation and development.