Data is gathered and computational models are created to test the digital twin concept. This could include a real-time interface between the digital model and a physical object for sending and receiving feedback and data.
*Source: https://www.twi-global.com
A model provides a representation of a product’s physical design and functionality based on set parameters, whereas a digital twin replicates how the product actually functions based on real-time data collected through IoT and sensors.
*Source: https://www.twi-global.com
Digital twin technology is used across various industries including manufacturing, healthcare, construction, automotive, aerospace, and retail.
*Source: https://research.aimultiple.com
In manufacturing, digital twin technology can be used to test the feasibility of a product before launching. The technology is also used to design different versions of a product and offer greater personalization to customers. Engineers can also use it to monitor the performance of end-products and identify defects.
*Source: https://research.aimultiple.com
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