6d19038784
12 pages covering architecture, findings, and metrics from the rotatingMachine + machineGroupControl hardening work: - Overview: node inventory, what works/doesn't, current scale - Architecture: 3D pump curves, group optimization algorithm - Findings: BEP-Gravitation proof (0.1% of optimum), NCog behavior, curve non-convexity, pump switching stability - Metrics: test counts, power comparison table, performance numbers - Knowledge graph: structured YAML with all data points and provenance - Session log: 2026-04-07 production hardening - Tools: query.py, search.sh, lint.sh Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
71 lines
3.1 KiB
Markdown
71 lines
3.1 KiB
Markdown
---
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title: EVOLV Project Overview
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created: 2026-04-07
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updated: 2026-04-07
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status: evolving
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tags: [overview, wastewater, node-red, isa-88]
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---
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# EVOLV — Edge-Layer Evolution for Optimized Virtualization
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Industrial automation platform for wastewater treatment, built as custom Node-RED nodes by Waterschap Brabantse Delta R&D. Follows ISA-88 (S88) batch control standard.
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## Stack
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Node.js, Node-RED, InfluxDB (time-series), TensorFlow.js (prediction), CoolProp (thermodynamics). No build step — pure Node.js.
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## Architecture
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Each node follows a 3-tier pattern:
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1. **Entry file** — registers with Node-RED, admin HTTP endpoints
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2. **nodeClass** — Node-RED adapter (tick loop, message routing, status)
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3. **specificClass** — pure domain logic (physics, state machines, predictions)
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3-port output convention: Port 0 = process data, Port 1 = InfluxDB telemetry, Port 2 = parent-child registration.
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## What Works
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| Capability | Status | Evidence |
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|---|---|---|
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| rotatingMachine state machine | proven | 76 tests passing, all sequences verified |
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| 3D pump curve prediction (flow/power from pressure+control) | proven | Monotonic cubic spline interpolation across 34 pressure levels |
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| NCog / BEP tracking per pump | proven | Produces meaningful values with differential pressure |
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| machineGroupControl BEP-Gravitation | proven | Within 0.1% of brute-force global optimum |
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| Combination selection (2^n exhaustive) | proven | Stable: 1-2 switches across 5-95% demand sweep, no hysteresis |
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| Prediction health scoring | proven | NRMSE drift, pressure source penalties, edge detection |
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| Hydraulic efficiency (η = QΔP/P) | proven | CoolProp density, head calculation |
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| Unit conversion chain | proven | No double-conversion, clean layer separation |
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## What Doesn't Work (honestly)
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| Issue | Status | Evidence |
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|---|---|---|
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| C5 curve non-convexity | evolving | 5 raw data points cause spline artifacts, dP/dQ non-monotonic |
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| NCog = 0 at high ΔP | evolving | At ΔP > 800 mbar for H05K, Q/P is monotonically decreasing |
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| calcBestCombination (NCog-weight mode) | disproven | Uses NCog as proportional weight instead of BEP target |
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## Current Scale
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- 13 custom Node-RED nodes (12 submodules + generalFunctions)
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- rotatingMachine: 76 tests, 1563 lines domain logic
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- machineGroupControl: 90+ tests, 1400+ lines domain logic
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- 3 real pump curves: H05K-S03R, C5-D03R-SHN1, ECDV
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- Tick loop: 1000ms interval
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## Node Inventory
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| Node | Purpose | Test Status |
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|------|---------|-------------|
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| rotatingMachine | Pump/compressor control | 76 tests (full) |
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| machineGroupControl | Multi-pump optimization | 90 tests (full) |
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| pumpingStation | Multi-pump station | needs review |
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| valve | Valve modeling | needs review |
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| valveGroupControl | Valve group coordination | needs review |
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| reactor | Biological reactor (ASM kinetics) | needs review |
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| settler | Secondary clarifier | needs review |
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| monster | Multi-parameter bio monitoring | needs review |
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| measurement | Sensor signal conditioning | needs review |
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| diffuser | Aeration system control | needs review |
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| dashboardAPI | InfluxDB + FlowFuse charts | needs review |
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| generalFunctions | Shared utilities | partial |
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