The schema default for machineCurve.nq had a dummy pressure slice at
key "1" with x=[1..5] y=[10..50]. configUtils.updateConfig deep-merges
defaults into the real config, so this fake slice survived alongside the
real pressure slices (70000, 80000, ..., 390000 Pa). The predict class
then included it in its pressure-dimension spline, pulling all
interpolated y-values toward the dummy data at low pressures and
producing NEGATIVE flow predictions (e.g. -243 m³/h) where the real
curve is strictly positive.
Fix: default to empty objects {nq: {}, np: {}} so the deep merge adds
nothing. The validateMachineCurve function already returns the whole
default if the real curve is missing or invalid, so the empty default
doesn't break the no-curve-data path — it just stops poisoning the
real curve data.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
state.js: When moveTo catches a 'Movement aborted' or 'Transition aborted'
error, transition the FSM back to 'operational'. This ensures a subsequent
shutdown or emergency-stop sequence is accepted — previously the FSM stayed
stuck in 'accelerating'/'decelerating' and rejected stopping/idle
transitions, silently dropping shutdown commands issued mid-ramp. Also
emits a 'movementAborted' event for observability.
rotatingMachine.json: Add schema entries for functionality.distance,
functionality.distanceUnit, functionality.distanceDescription, and top-level
output.{process,dbase}. These keys are produced by buildConfig / the HTML
editor but were previously stripped by the validator with an
'Unknown key' warning on every deploy.
configs/index.js: Trim buildConfig so it no longer unconditionally injects
distanceUnit/distanceDescription — those keys are rotatingMachine-specific
and would otherwise produce Unknown-key warnings on every other node.
Verified via Docker-hosted Node-RED E2E: shutdown from accelerating now
reaches idle; emergency stop from accelerating reaches off; 0 Unknown-key
warnings in container logs.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
