Digital Twin

Digital Twin is the logical capability of maintaining a live, virtual representation of a specific physical product, production line, or facility, kept synchronized with its real-world counterpart through sensor data and run against engineering models for prediction, diagnostics, and optimization. It generalizes from product twins to asset twins and process twins.

What it covers

• As-built / as-maintained configuration unique to a serial number or asset.
• Live telemetry ingestion from IoT sensors and operational systems.
• Physics-based and data-driven models running predictive analytics.
• What-if simulation for predictive maintenance and process optimization.
• Feedback loop that lifts field insights back into engineering.

Relationships (see sidebar)

• Supports the Service and Maintenance, Manufacturing Execution, and Quality Management processes.
• Implemented by systems like Dassault 3DEXPERIENCE.
• Sits on top of the Digital Thread — the thread provides the artifact graph the twin reads from and writes back to.