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3D Model
AI Architecture › Physical Interfaces
Physical Interfaces

REBCO Strain and Thermometry Interface

Distributed strain and temperature along the winding pack feed both the quench path and the twin's slow structural-fatigue model.

STRATEGY / SLOW ▲ ▼ MICROSECOND REAL-TIMEL7Ecosystem & Strategytelemetry ▲ control ▼open ▸L6Experience & Visualizationtelemetry ▲ control ▼open ▸L5Applications & Copilotstelemetry ▲ control ▼open ▸L4Orchestrationtelemetry ▲ control ▼open ▸L3Twin Modeling & AItelemetry ▲ control ▼open ▸L2Data Fabrictelemetry ▲ control ▼open ▸L1Control Planetelemetry ▲ control ▼open ▸L0Foundationtelemetry ▲ control ▼open ▸PHYSICAL S.M.A.R.T. GENERATOR PLANTBREEDER · HYPERION1R0 1.2 m · A 2.5 · 16.84 T · δ −0.30BURNER · TANDEM MIRROR2317 T throat · 26.49 T plug · fₙ 5.44% · DEC1 center stack + plasma · 2 high-field plug · 3 expander → direct converterCOLOR GRAMMAR strategy AI-workflow infra/data models reactor/DECLINE SEMANTICStelemetry (µs)controlKRONOS FUSION ENERGYAI-NATIVE S.M.A.R.T. GENERATORMASTER BLUEPRINTSHEET 01REV. 2026-08L0-L7 · 2 MACHINES
The AI-Native S.M.A.R.T. Generator Master Blueprint — eight layers (L0→L7), one control stack, wired to both machines. Telemetry rises in microseconds; control descends the same path.

Dual-purpose sensing

REBCO tape is strain-sensitive: critical current degrades once mechanical strain exceeds an irreversible limit. On the burner's 26.49 T plug the Lorentz loads are severe — the reason the plug-coil is overstressed ~3–3.9× at the design bore. This interface measures the strain and temperature fields that both the fast protection path and the slow fatigue model consume.

Sensor set

python
# separate strain from temperature in FBG shift
# d(lambda)/lambda = k_eps * eps + k_T * dT
eps = ( dlam_sensor/lam - k_T*dT_rtd ) / k_eps
if eps > eps_irrev[coil]:                # approach to degradation limit
    flag('rebco_strain_margin', coil, eps)

Two consumers, two rates

ConsumerRateUse
quench pathus-mshot-spot cross-check
twin fatiguemin-hrcumulative load, lifetime

The fast consumer is the quench-detection interface, which uses temperature as an independent quench confirmation. The slow consumer is the digital twin's thermomechanics module, which integrates strain cycles into a fatigue estimate feeding predictive maintenance.

Owner: sense-side L2 for timestamping and transport; the fast cross-check is mirrored to L1. Calibration is traceable per fiber, with drift tracked so the strain margin is never read through a stale gauge. Design-and-simulation targets, validated against the twin before commissioning.

Content reviewed August 2026 · design-and-simulation stage