The term ‘digital twin’ was introduced in 2022 by Michael Grieves, who applied the concept to the manufacturing product lifecycle.
More recently, this concept has been extended to uae rcs data allow for recording of information from sensors and other sources.
The data from these sources are then attached back onto the original designs, helping users to understand how the object or process is behaving in the real world. This further allows monitoring of whether the object or process is responding as expected.
Early uses of digital twins included the building and infrastructure communities.
enable modelling and predictions of events
provide a basis to monitor the built environment
store the history of an environment
Where are digital twins used?
While there are many applications of digital twins in existence, a few examples indicate the breadth of possible applications.
Social distancing
During earlier stages of the Covid-19 pandemic, a digital twin was created of London’s St Pancras International station.
The digital twin used camera, data and computer vision software with the aim of identifying quieter areas to direct people to, as well as providing information on when lifts and escalators needed to be redirected to support social distancing.
Cars
The electric car company Tesla creates a digital twin of every vehicle it builds.
Sensors in the car feed back to the digital twin and AI is used to analyse that data, determining whether there are maintenance or other issues. As part of an iterative and reciprocal process, decisions arising from the digital twin and associated AI can then feed into decisions around software or temporary configuration updates which can be uploaded back into the car itself.