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3D Model & Digital Twin

Twin Visualization and Interfaces

A twin's insight reaches people through interfaces that must present state, uncertainty, and recommendations clearly and without misleading.

The last mile to the human

A twin's estimates and forecasts are useless if the people who must act on them cannot understand them quickly and correctly. The visualization and human-machine interface layer turns internal state, uncertainty, and recommendations into displays that support fast, sound decisions, in the control room, in engineering review, and in maintenance planning. Poor presentation can make a good twin dangerous.

Showing the hidden state

Kronos motion — pid vs model

Much of a twin's value is reconstructing quantities no sensor shows. Visualization must make these inferred fields legible, for example a reconstructed temperature or stress distribution over a component, while clearly distinguishing measured from inferred, so an operator never mistakes an estimate for a direct reading.

Showing uncertainty honestly

Layering by role

Different users need different views. An operator needs a fast, uncluttered picture of the machine's health and any required action. An engineer needs to drill into the physics behind an estimate. A maintenance planner needs component-life forecasts. A well-designed interface layers these so each user sees what they need without drowning in the rest. The three-dimensional model of the machine is a natural spatial backbone for these views.

In the Kronos program

The existing three-dimensional model of the Hyperion breeder and the burner provides a spatial canvas onto which twin state can be projected: temperatures on surfaces, stresses in supports, margins in magnets. Building the interface on that model now, during design, means the visual language is ready and tested before the machines operate. The same interface serves the operator training simulator. See operator training simulators and the roadmap.