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- manuals/nodes/rotatingMachine.md + measurement.md (superseded by per-repo wikis)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>
54 lines
2.4 KiB
Markdown
54 lines
2.4 KiB
Markdown
---
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title: Group Optimization Architecture
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created: 2026-04-07
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updated: 2026-04-07
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status: proven
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tags: [machineGroupControl, optimization, BEP-Gravitation]
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sources: [nodes/machineGroupControl/src/specificClass.js]
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---
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> **⚠️ ARCHIVED — pre-refactor (Tier 1–4, 2026-05)**
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>
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> This page describes the architecture before the platform refactor.
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> The current page is the per-node wiki on **[gitea.wbd-rd.nl/RnD](https://gitea.wbd-rd.nl/RnD)** or **[Home](../Home)**.
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>
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> Kept for historical reference only. **Do not update.**
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# machineGroupControl Optimization
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## Algorithm: BEP-Gravitation + Marginal-Cost Refinement
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### Step 1 — Pressure Equalization
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Sets all non-operational pumps to the group's max downstream / min upstream pressure. Ensures fair curve evaluation across combinations.
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### Step 2 — Combination Enumeration
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Generates all 2^n pump subsets (n = number of machines). Filters by:
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- Machine state (excludes off, cooling, stopping, emergency)
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- Mode compatibility (`execsequence` allowed in auto)
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- Flow bounds: `sumMinFlow ≤ Qd ≤ sumMaxFlow`
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- Optional power cap
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### Step 3 — BEP-Gravitation Distribution (per combination)
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1. **BEP seed**: `estimatedBEP = minFlow + span * NCog` per pump
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2. **Slope estimation**: samples dP/dQ at BEP ± delta (directional: slopeLeft, slopeRight)
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3. **Slope redistribution**: iteratively shifts flow from steep to flat curves (weight = 1/slope)
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4. **Marginal-cost refinement**: after slope redistribution, shifts flow from highest actual dP/dQ to lowest using real `inputFlowCalcPower` evaluations. Converges regardless of curve convexity. Max 50 iterations, typically 5-15.
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### Step 4 — Best Selection
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Pick combination with lowest total power. Tiebreak by deviation from BEP.
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### Step 5 — Execution
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Start/stop pumps as needed, send `flowmovement` commands in output units via `_canonicalToOutputFlow()`.
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## Three Control Modes
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| Mode | Distribution | Combination Selection |
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|------|-------------|----------------------|
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| optimalControl | BEP-Gravitation + refinement | exhaustive 2^n |
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| priorityControl | equal split, priority-ordered | sequential add/remove |
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| priorityPercentageControl | percentage-based, normalized | count-based |
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## Key Design Decision
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The `flowmovement` command sends flow in the **machine's output units** (m3/h), not canonical (m3/s). The `_canonicalToOutputFlow()` helper converts before sending. Without this conversion, every pump stays at minimum flow (the critical bug fixed on 2026-04-07).
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