Last edited 10 Sep 2019

Digital twin

Digital twin.jpg

The term ‘digital twin’ refers to a virtual model or replica of assets, processes, systems, and other entities. The term emerged with the rise of the Internet of Things (IoT) which is the application of unique identifiers to physical objects that enables them to be connected to a network allowing the transfer of data to and from those objects.

Digital twins can be used as a means of optimising the operation and maintenance of physical assets, systems and processes. By analysing the virtual model, lessons can be learned and opportunities exploited in the real physical twin.

Digital simulations can be undertaken that can help prevent actual problems. Artificial intelligence (AI) and analytics can update the digital twin as its physical twin changes. Smart components connected to a cloud-based system can gather data using sensors which allows analysis of real-time status and comparisons with historical data.

According to the Gemini Principles published by the Centre for Digital Built Britain in December 2018, a digital twin is: 'A realistic digital representation of something physical. What distinguishes a digital twin from any other digital model is its connection to the physical twin.'

For more information see: Defining the digital twin: seven essential steps.

The National Digital Twin (NDT) is ' ecosystem of digital twins that are connected by securely-shared data ...a national resource for improving the performance, service and value delivered by the UK’s infrastructure, delivering benefits to society, business, the environment, and the economy.'

National Digital Twin Day was hosted at ICE headquarters in London on Monday 9 September 2019 and brought together key influencers and leaders in digital transformation to bring focus to how digital twins are shaping the future of the built environment.

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