Digital Twin Processes
Digital twins are operational frameworks, not static deliverables.
They require processes that connect assets, actors, and time.
TwinGEO highlights key process dimensions:
Design and Planning
Infrastructure and territorial systems are shaped through:
- engineering design workflows
- BIM coordination
- multi-domain constraints
- regulatory frameworks
A twin must reflect design intent, not just geometry.
Construction and Implementation
Digital twins gain value when they support execution:
- sequencing
- cost and quantity analysis
- constructability
- logistics and phasing
Time becomes part of the model.
Operation and Performance
The most advanced twins support ongoing management:
- asset performance
- maintenance planning
- service continuity
- risk monitoring
A twin is not finished at delivery — it becomes active.
Decision Support
The final purpose of processes is decision-making:
- What if scenarios
- Impact assessment
- Resource optimization
- System resilience
TwinGEO frames digital twins as decision infrastructures.