The Importance of True-to-Life 3D Digital Twins
A true operational digital twin is far more than a CAD model. It continuously reflects the real-world asset throughout its lifecycle, enabling safer operations, better decisions, and long-term value.
Living, Learning Models
A digital twin must continuously evolve alongside the physical asset it represents. As equipment changes, systems are upgraded, and facilities evolve, the digital twin must capture those changes through an effective Model Management of Change (MMoC) process.
A Replica of the Physical Asset
A true operational digital twin must accurately represent the physical asset in every relevant way. It should remain synchronized throughout the operational life of the facility so users can confidently rely on it for planning, maintenance, and decision-making.
Why Is This So Important Now?
As industries increasingly rely on remote operations, digital twins replace physical presence with digital visibility. Teams use them to inspect equipment, plan maintenance, verify procedures, and improve safety. These benefits are only possible when the model accurately reflects the real-world environment.
Even small differences between the digital model and the physical asset can lead to wasted time, incorrect maintenance procedures, inefficient planning, and potential safety risks.
When the Digital Twin Falls Out of Sync
If inaccuracies accumulate over time, users gradually lose confidence in the digital twin. Eventually, they stop using it altogether, reducing the return on investment while increasing operational risk.
When teams rely on outdated information for planning or maintenance, discrepancies between the model and reality can introduce costly mistakes and potentially dangerous situations.
Why CAD Models Are Not Enough
Engineering CAD models provide an excellent starting point, but they primarily represent design intent rather than operational reality. During construction, many deviations occur that are never reflected back into the engineering model.
As facilities continue operating over many years, equipment is replaced, layouts change, and processes evolve. CAD models are rarely updated frequently enough to capture these ongoing changes.
Operational 3D Digital Twins are designed differently. They support continuous updates, integrate multiple visual data sources, connect with operational systems, and evolve alongside the physical environment.
What Makes an Operational 3D Digital Twin?
Unlike traditional CAD models, operational digital twins are dynamic systems that combine visual models with live operational data and continuous change management.
- Robust Model Management of Change (MMoC)
- Integration of CAD models with reality capture and scan data
- Connections to operational systems of record
- Live access to real-time asset information
- Support for frequent incremental updates
Operational Assets Live for Decades
Industrial facilities often operate for 30 years or more. During that time, the digital twin must remain an accurate representation of the physical environment. Without ongoing maintenance, the model loses its usefulness and eventually its users.
Maintaining a trusted digital twin extends the value of capital assets by improving diagnostics, maintenance planning, regulatory compliance, and operational efficiency throughout the asset lifecycle.
Building an Effective Model Management of Change
Keeping a digital twin current should not be difficult or prohibitively expensive. Modern operational digital twins simplify maintenance through automation and intelligent workflows.
- Built-in automated change capture
- Automatic translation of detected changes into the digital model
- Human-in-the-loop validation for quality assurance
- Low-cost, low-effort ongoing maintenance
Key Takeaways for Manufacturers
- Start with accurate as-built documentation.
- Connect the digital twin directly to operational systems of record.
- Implement a robust Model Management of Change process.
- Treat the digital twin as the long-term visual system of record.
- Partner with providers that support continuous operational fidelity.
Looking Ahead
This article is Part 1 of a four-part series on digital twins throughout the full lifecycle. The next articles explore creating operational digital twins, sustaining them through Model Management of Change, and enabling Manufacturing as a Service.