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AI Architecture › Physical Interfaces
Physical Interfaces

Burner Diagnostic Port Map

The burner's ports are organized along the machine axis - central cell, throat, plug, expander - because confinement is axial, not toroidal.

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.

An axial machine

The burner (Aegis / MetroVolt) is linear: plasma sits in a central cell between two end plugs. Its diagnostic ports are therefore mapped along the axial coordinate z rather than to flux surfaces. Density, potential, and field are functions of position along the axis, and the port map reflects that geometry.

Port classes by region

RegionKey diagnosticsControls served
central cellinterferometry, neutronfueling, power
throatfield probes, thermographyplug field
plugdensity, emissive probeplug density/potential
expanderend-loss analyzer, IRDEC feed, heat load

The plug and expander regions are the most heavily instrumented because they hold the two hardest-to-observe quantities: the plug density/potential that confines the machine, and the ion energy spectrum arriving at the direct-energy-conversion collectors.

python
# axial channel registration
for ch in ports:
    z   = geometry[ch].axial_position
    reg = region_of(z)                 # central/throat/plug/expander
    channel_map[ch] = (z, reg)

Observability under the regime gate

A blunt honesty note: the plug regime is 166–830× beyond any operated device, so several plug diagnostics have no calibration precedent at these conditions. The port map records this by tagging plug-region channels with elevated uncertainty, so the twin never treats an un-precedented reading as ground truth.

Owner: L2 for registration and timestamping; L3 for axial-profile assembly. Design-and-simulation specification; the burner is not built.

Content reviewed August 2026 · design-and-simulation stage