b8cb889d87
- Archived 20 pre-refactor pages to wiki/Archive/ with standard banners:
- All 6 architecture/ pages (old _loadConfig/_setupSpecificClass internals,
pre-refactor S88 hierarchy, deployment blueprint)
- All 3 sessions/ logs (Apr-07 + Apr-13 session summaries)
- findings/open-issues-2026-03.md (issues 1-5 all resolved by refactor)
- concepts/generalfunctions-api.md (missing BaseDomain/BaseNodeAdapter)
- concepts/sources-readme.md (empty PDF placeholder, never populated)
- manuals/nodes/rotatingMachine.md + measurement.md (superseded by per-repo wikis)
- Top-level SCHEMA.md, index.md, log.md, metrics.md, overview.md,
knowledge-graph.yaml (all Apr-07 snapshot, pre-refactor)
- Kept wiki/concepts/ domain pages (ASM, PID, pump-affinity, settling, etc.)
- Kept wiki/findings/ proven results (BEP, NCog, curve-non-convexity, stability)
- Kept wiki/manuals/node-red/* (FlowFuse + Node-RED runtime docs, still current)
- Kept wiki/tools/* (utility scripts)
- Updated wiki/Archive.md index with 20 rows
- Fixed wiki/Home.md: Tier 6 was wrongly marked done; corrected to pending;
Tier 9 updated to reflect 2026-05-11 in-progress wave
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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title, created, updated, status, tags, sources
| title | created | updated | status | tags | sources | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 3D Pump Curve Architecture | 2026-04-07 | 2026-04-07 | proven |
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⚠️ ARCHIVED — pre-refactor (Tier 1–4, 2026-05)
This page describes the architecture before the platform refactor. The current page is the per-node wiki on gitea.wbd-rd.nl/RnD or Home.
Kept for historical reference only. Do not update.
3D Pump Curve Prediction
Data Structure
A family of 2D curves indexed by pressure (f-dimension):
- X-axis: control position (0-100%)
- Y-axis: flow (nq) or power (np) in canonical units
- F-dimension: pressure (Pa) — the 3rd dimension
Raw curves are in curve units (m3/h, kW, mbar). _normalizeMachineCurve() converts to canonical (m3/s, W, Pa).
Interpolation
Monotonic cubic spline (Fritsch-Carlson) in both dimensions:
- X-Y splines: at each discrete pressure level
- F-splines: across pressure levels for intermediate pressure interpolation
Prediction Flow
predict.y(x):
1. Clamp x to [currentFxyXMin, currentFxyXMax]
2. Normalize x to [normMin, normMax]
3. Evaluate spline at normalized x for current fDimension
4. Return y in canonical units (m3/s or W)
Unit Conversion Chain
Raw curve (m3/h, kW, mbar)
→ _normalizeMachineCurve → canonical (m3/s, W, Pa)
→ predict class → canonical output
→ MeasurementContainer.getCurrentValue(outputUnit) → output units
No double-conversion. Clean separation: specificClass handles units, predict handles normalization/interpolation.
Three Predict Instances per Machine
predictFlow: control % → flow (nq curve)predictPower: control % → power (np curve)predictCtrl: flow → control % (reversed nq curve)
Boundary Behavior
- Below/above curve X range: flat extrapolation (clamped)
- Below/above f-dimension range: clamped to min/max pressure level
Performance
y(x): O(log n), effectively O(1) for 5-10 data pointsbuildAllFxyCurves: sub-10ms for typical curves- Full caching of normalized curves, splines, and calculated curves