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Multiple Choice

How are digital twins made?

Digital twins are built by feeding a live, integrated data stream into a modelling environment to produce a current, interactive virtual replica of the real asset. This typically involves gathering geometry and condition data from drones, sensors, and 3D laser scanners, and then sending that information in real time to modelling software so the twin stays in sync with the physical world. Floor plans or historical drawings can help establish initial geometry, but they don’t capture ongoing changes or real-time performance, and public records don’t provide the detailed, up-to-date data needed for a functional digital twin. Using multiple real-time data sources is what makes the digital twin accurate, actionable, and capable of monitoring, analysis, and scenario testing.

Digital twins are built by feeding a live, integrated data stream into a modelling environment to produce a current, interactive virtual replica of the real asset. This typically involves gathering geometry and condition data from drones, sensors, and 3D laser scanners, and then sending that information in real time to modelling software so the twin stays in sync with the physical world. Floor plans or historical drawings can help establish initial geometry, but they don’t capture ongoing changes or real-time performance, and public records don’t provide the detailed, up-to-date data needed for a functional digital twin. Using multiple real-time data sources is what makes the digital twin accurate, actionable, and capable of monitoring, analysis, and scenario testing.