In short
A digital twin is a current, data-connected digital representation of a physical asset — built from engineering models, reality capture and operational data. In infrastructure management, twins support inspection planning, change evaluation and decision-making by keeping the digital record aligned with the physical asset.
What makes a twin a twin
A 3D model is not a digital twin. Neither is a scan. A twin is defined by currency and connection: it represents the asset as it is now, fed by the data sources that keep it true — engineering models, reality capture, inspection records, sensor feeds and maintenance history.
The reality-capture foundation
For existing infrastructure, the twin usually begins with reality capture. Photographs and laser scans processed through tools like ContextCapture produce engineering-ready meshes of actual conditions — the basis on which design models, analysis and inspection records can be layered.
Where twins earn their keep
The practical value shows up in specific workflows: planning inspections without site visits, evaluating modifications against real geometry, training operators on accurate facility models, and giving distributed teams one shared, current view of the asset.
Start narrow. A twin that supports one high-value workflow — inspection planning for a single facility, say — proves the approach and builds the data discipline that broader programmes need.
“A twin is defined by currency: the digital record must stay true to the physical asset.”