What is Digital Twin?
A Digital Twin is a virtual representation of a physical asset that is continuously updated with real-time sensor data, enabling simulation, optimisation and predictive analysis of facility operations.
Technical Definition: A virtual representation of a physical asset (e.g. a building, machine or process) that is continuously updated with real-time data from sensors. The twin can be used to simulate scenarios, optimise operations and predict failures before they occur.
Why it matters: A digital twin is the most advanced use case for structured facility data – from naming conventions to IoT integration. When built on correct, well-structured data, it provides operational insights unavailable through any other means.
HubMind’s view: We build the data infrastructure that makes a digital twin meaningful. Without correct, consistently tagged data, a digital twin is just an expensive 3D model. The data foundation comes first.
Read more: Deep dive: digital twins in facility management.
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