Twin Data Standards and Interoperability
Shared data models and interfaces let a twin's many components, and successive units, exchange information without bespoke glue.
A common language for the twin
A twin is a federation of components built by different teams over a long time: sensors, models, filters, controllers, and displays. Without agreed data formats and interfaces, connecting them becomes an ever-growing tangle of bespoke adapters that is fragile and hard to evolve. Standards define a common language so components interoperate and can be replaced independently.
What needs standardizing
- Signal identity: unambiguous names and metadata for every measurement
- Units and calibration provenance, carried with the data
- Time representation, so all components share one notion of when
- Model interfaces, so a surrogate can replace a full code behind the same contract
- State and uncertainty representation, so estimates pass cleanly between layers
Domain conventions
The fusion community has developed data schemas for describing machine and plasma quantities in a machine-independent way, so that analysis tools can move between devices. Adopting and extending such conventions, rather than inventing private formats, keeps a twin's data usable by the wider ecosystem of physics and engineering tools and eases collaboration.
Interoperability across units
When a design is built as a fleet, standards let the twins of different units share tooling, comparisons, and learned patterns while each keeps its own data. A precursor identified on one unit can be searched for on others only if their data speaks the same language. Standards are what make fleet learning practical rather than aspirational.
In the Kronos program
The Hyperion breeder and the burner are being described in shared, versioned data models now, so their twins interoperate and so the burner fleet, in Aegis and MetroVolt housings, can be compared unit to unit later. Committing to standards early, before construction begins in the second quarter of 2027, avoids the costly retrofit of imposing them on a running system. See data pipelines and twin governance.