A ‘Digital Twin’ refers to a real-time digital representation of a physical object. For buildings, a digital twin can be established to understand real-time trends occurring in the built environment including energy performance, space uses, preventative maintenance needs, and insights made possible by the Internet of Things.
The successful implementation of a Digital Twin for a building involves coordinating digital model assets in conjunction with well-correlated data sources that reflect the real-time state of the building. While there is a lot of hype and mystique surrounding digital twins, this lecture will discuss practical implementation opportunities using well-established technologies, data management methods, and digital model assets.
Nathan Miller – CEO of Proving Ground – presented practical concepts and strategies for establishing a ‘digital twin’ for buildings using technology available to architects, engineers, builders, and facility owners.
– What a Digital Twin means in the context of building design, construction, and operations.
– How Digital Twins can deliver value to the work of designers, builders, and facility managers?
– What practical strategies can be employed for coordinating building information models with real-time facility data.
– What technologies – including data, machine learning, and business intelligence – are available to support a practical Digital Twin implementation.
Learn more about us at https://provingground.io
Learn about our data-driven tools at https://apps.provingground.io
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