Files
machineGroupControl/test/integration/distribution-power-table.integration.test.js
znetsixe d238270530 test(mgc): drop denormalized asset fields from integration fixtures
Each fixture's machineConfig() now passes asset: { model, unit } only —
the supplier / category / type strings are derived at runtime via
assetResolver in rotatingMachine's _setupCurves. Six integration tests
updated. No behaviour change.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-12 17:13:02 +02:00

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/**
* machineGroupControl vs naive strategies — real pump curves
*
* Station: 2× hidrostal H05K-S03R + 1× hidrostal C5-D03R-SHN1
* ΔP = 2000 mbar
*
* Compares the ACTUAL machineGroupControl optimalControl algorithm against
* naive baselines. All strategies must deliver exactly Qd.
*/
const test = require('node:test');
const assert = require('node:assert/strict');
const MachineGroup = require('../../src/specificClass');
const Machine = require('../../../rotatingMachine/src/specificClass');
const DIFF_MBAR = 2000;
const UP_MBAR = 500;
const DOWN_MBAR = UP_MBAR + DIFF_MBAR;
const stateConfig = {
time: { starting: 0, warmingup: 0, stopping: 0, coolingdown: 0 },
movement: { speed: 1200, mode: 'staticspeed', maxSpeed: 1800 }
};
function machineConfig(id, model) {
return {
general: { logging: { enabled: false, logLevel: 'error' }, name: id, id, unit: 'm3/h' },
functionality: { softwareType: 'machine', role: 'rotationaldevicecontroller' },
asset: { model, unit: 'm3/h' },
mode: {
current: 'auto',
allowedActions: { auto: ['execsequence', 'execmovement', 'flowmovement', 'statuscheck'] },
allowedSources: { auto: ['parent', 'GUI'] }
},
sequences: {
startup: ['starting', 'warmingup', 'operational'],
shutdown: ['stopping', 'coolingdown', 'idle'],
emergencystop: ['emergencystop', 'off'],
}
};
}
function groupConfig() {
return {
general: { logging: { enabled: false, logLevel: 'error' }, name: 'station' },
functionality: { softwareType: 'machinegroup', role: 'groupcontroller' },
scaling: { current: 'absolute' },
mode: { current: 'optimalcontrol' }
};
}
function injectPressure(m) {
m.updateMeasuredPressure(UP_MBAR, 'upstream', { timestamp: Date.now(), unit: 'mbar', childName: 'up', childId: `up-${m.config.general.id}` });
m.updateMeasuredPressure(DOWN_MBAR, 'downstream', { timestamp: Date.now(), unit: 'mbar', childName: 'dn', childId: `dn-${m.config.general.id}` });
}
/* ---- naive baselines (pumps OFF = 0 flow, 0 power) ---- */
function distribute(machines, running, rawDist, Qd) {
const dist = {};
for (const id of Object.keys(machines)) dist[id] = 0;
for (const id of running) {
const m = machines[id];
dist[id] = Math.min(m.predictFlow.currentFxyYMax, Math.max(m.predictFlow.currentFxyYMin, rawDist[id] || 0));
}
for (let pass = 0; pass < 20; pass++) {
let rem = Qd - running.reduce((s, id) => s + dist[id], 0);
if (Math.abs(rem) < 1e-9) break;
for (const id of running) {
if (Math.abs(rem) < 1e-9) break;
const m = machines[id];
const cap = rem > 0 ? m.predictFlow.currentFxyYMax - dist[id] : dist[id] - m.predictFlow.currentFxyYMin;
if (cap > 1e-9) { const t = Math.min(Math.abs(rem), cap); dist[id] += rem > 0 ? t : -t; rem += rem > 0 ? -t : t; }
}
}
return dist;
}
function spillover(machines, Qd) {
const sorted = Object.keys(machines).sort((a, b) => machines[a].predictFlow.currentFxyYMax - machines[b].predictFlow.currentFxyYMax);
let running = [], maxCap = 0;
for (const id of sorted) { running.push(id); maxCap += machines[id].predictFlow.currentFxyYMax; if (maxCap >= Qd) break; }
const raw = {}; let rem = Qd;
for (const id of running) { raw[id] = rem; rem = Math.max(0, rem - machines[id].predictFlow.currentFxyYMax); }
const dist = distribute(machines, running, raw, Qd);
let p = 0, f = 0;
for (const id of running) { p += machines[id].inputFlowCalcPower(dist[id]); f += dist[id]; }
return { dist, power: p, flow: f, combo: running };
}
function equalAllOn(machines, Qd) {
const ids = Object.keys(machines);
const raw = {}; for (const id of ids) raw[id] = Qd / ids.length;
const dist = distribute(machines, ids, raw, Qd);
let p = 0, f = 0;
for (const id of ids) { p += machines[id].inputFlowCalcPower(dist[id]); f += dist[id]; }
return { dist, power: p, flow: f, combo: ids };
}
/* ---- test ---- */
test('machineGroupControl vs naive baselines — real curves, verified flow', async () => {
const mg = new MachineGroup(groupConfig());
const machines = {};
for (const [id, model] of [['H05K-1','hidrostal-H05K-S03R'],['H05K-2','hidrostal-H05K-S03R'],['C5','hidrostal-C5-D03R-SHN1']]) {
const m = new Machine(machineConfig(id, model), stateConfig);
injectPressure(m);
mg.childRegistrationUtils.registerChild(m, 'downstream');
machines[id] = m;
}
const toH = (v) => +(v * 3600).toFixed(1);
const CANON_FLOW = 'm3/s';
const CANON_POWER = 'W';
console.log(`\n=== STATION: 2×H05K + 1×C5 @ ΔP=${DIFF_MBAR} mbar ===`);
console.table(Object.entries(machines).map(([id, m]) => ({
id,
'min (m³/h)': toH(m.predictFlow.currentFxyYMin),
'max (m³/h)': toH(m.predictFlow.currentFxyYMax),
'BEP (m³/h)': toH(m.predictFlow.currentFxyYMin + (m.predictFlow.currentFxyYMax - m.predictFlow.currentFxyYMin) * m.NCog),
NCog: +m.NCog.toFixed(3),
})));
const minQ = Math.max(...Object.values(machines).map(m => m.predictFlow.currentFxyYMin));
const maxQ = Object.values(machines).reduce((s, m) => s + m.predictFlow.currentFxyYMax, 0);
const demandPcts = [0.10, 0.25, 0.50, 0.75, 0.90];
const rows = [];
for (const pct of demandPcts) {
const Qd = minQ + (maxQ - minQ) * pct;
// Reset all machines to idle, re-inject pressure
for (const m of Object.values(machines)) {
if (m.state.getCurrentState() !== 'idle') await m.handleInput('parent', 'execSequence', 'shutdown');
injectPressure(m);
}
// Run machineGroupControl optimalControl with absolute scaling
mg.setMode('optimalcontrol');
mg.setScaling('absolute');
mg.calcAbsoluteTotals();
mg.calcDynamicTotals();
await mg.handleInput('parent', Qd);
// Read ACTUAL per-pump state (not the MGC summary which may be stale)
let mgcPower = 0, mgcFlow = 0;
const mgcCombo = [];
const mgcDist = {};
for (const [id, m] of Object.entries(machines)) {
const state = m.state.getCurrentState();
const flow = m.measurements.type('flow').variant('predicted').position('downstream').getCurrentValue(CANON_FLOW) || 0;
const power = m.measurements.type('power').variant('predicted').position('atequipment').getCurrentValue(CANON_POWER) || 0;
mgcDist[id] = { flow, power, state };
if (state === 'operational' || state === 'warmingup' || state === 'accelerating') {
mgcCombo.push(id);
mgcPower += power;
mgcFlow += flow;
}
}
// Naive baselines
const sp = spillover(machines, Qd);
const ea = equalAllOn(machines, Qd);
const best = Math.min(mgcPower, sp.power, ea.power);
const delta = (v) => best > 0 ? `${(((v - best) / best) * 100).toFixed(1)}%` : '';
rows.push({
demand: `${(pct * 100)}%`,
'Qd (m³/h)': toH(Qd),
'MGC kW': +(mgcPower / 1000).toFixed(1),
'MGC flow': toH(mgcFlow),
'MGC pumps': mgcCombo.join('+') || 'none',
'Spill kW': +(sp.power / 1000).toFixed(1),
'Spill flow': toH(sp.flow),
'Spill pumps': sp.combo.join('+'),
'EqAll kW': +(ea.power / 1000).toFixed(1),
'EqAll flow': toH(ea.flow),
'MGC Δ': delta(mgcPower),
'Spill Δ': delta(sp.power),
'EqAll Δ': delta(ea.power),
});
}
console.log('\n=== POWER + FLOW COMPARISON (★ = best, all must deliver Qd) ===');
console.table(rows);
// Per-pump detail at each demand level
for (const pct of demandPcts) {
const Qd = minQ + (maxQ - minQ) * pct;
for (const m of Object.values(machines)) {
if (m.state.getCurrentState() !== 'idle') await m.handleInput('parent', 'execSequence', 'shutdown');
injectPressure(m);
}
mg.setMode('optimalcontrol');
mg.setScaling('absolute');
mg.calcAbsoluteTotals();
mg.calcDynamicTotals();
await mg.handleInput('parent', Qd);
const detail = Object.entries(machines).map(([id, m]) => {
const state = m.state.getCurrentState();
const flow = m.measurements.type('flow').variant('predicted').position('downstream').getCurrentValue(CANON_FLOW) || 0;
const power = m.measurements.type('power').variant('predicted').position('atequipment').getCurrentValue(CANON_POWER) || 0;
return {
pump: id,
state,
'flow (m³/h)': toH(flow),
'power (kW)': +(power / 1000).toFixed(1),
};
});
console.log(`\n--- MGC per-pump @ ${(pct*100)}% (${toH(Qd)} m³/h) ---`);
console.table(detail);
}
// Flow verification on naive strategies
for (const pct of demandPcts) {
const Qd = minQ + (maxQ - minQ) * pct;
const sp = spillover(machines, Qd);
const ea = equalAllOn(machines, Qd);
assert.ok(Math.abs(sp.flow - Qd) < Qd * 0.005, `Spillover flow mismatch at ${(pct*100)}%`);
assert.ok(Math.abs(ea.flow - Qd) < Qd * 0.005, `Equal-all flow mismatch at ${(pct*100)}%`);
}
});