A digital twin is a virtual model that maps the status and behavior of a physical entity in real time. It is created by connecting sensors and data sources and used for predictive analysis, optimized performance and remote monitoring. Benefits include: predictive maintenance, optimized performance, remote monitoring, collaboration and training. Applications range from manufacturing, energy, transportation and healthcare.
Digital twin: mapping of physical entities in the virtual world
#What is a digital twin?
A digital twin is a virtual copy or model that maps the current state and behavior of a physical entity in real time. It is a dynamic, digital twin that responds to real-time input from physical entities and provides predictive analytics and insights.
How digital twins work
Digital twins are created by connecting sensors and data sources to physical entities. These sensors collect data about the real-time status of physical entities, including temperature, location, and vibration. This data is transferred to the digital twin and processed in the virtual environment.
The digital twin uses this data to update its virtual model, creating an exact replica of the physical entity. The digital twin can then be simulated and analyzed to predict the future behavior of the physical entity, explore different scenarios and optimize its performance.
Benefits of digital twins
Digital twins offer many benefits, including:
Applications of digital twins
Digital twins can be applied to a wide range of industries, including:
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