Specialization
A digtial twin uses data and information from sensors and other sources to simulate the behavior and performance of its physical counterpart in real time. Digital twins can be used for various purposes, including monitoring, optimization, prediction, and control. In order to create a digital twin, several steps are required:
One common example of a digital twin is a virtual replica of a piece of industrial machinery, such as a wind turbine or a pump. The digital twin is created using data from sensors installed on the physical machine, which monitor factors such as temperature, pressure, and vibration. This data is used to create a mathematical model of the machine, which is then implemented in a software platform to create the digital twin. Digital twins are not limited to individual machines – they can also be used to model entire systems, such as a fleet of vehicles or a network of factories. In these cases, the digital twin provides a holistic view of the entire system, enabling operators to manage and optimize it as a whole.