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Author SHA1 Message Date
znetsixe
7eafd89f4e docs: add CLAUDE.md with S88 classification and superproject rule reference
References the flow-layout rule set in the EVOLV superproject
(.claude/rules/node-red-flow-layout.md) so Claude Code sessions working
in this repo know the S88 level, colour, and placement lane for this node.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 07:47:23 +02:00
znetsixe
d55f401ab3 fix: production hardening — unit mismatch, safety guards, marginal-cost refinement
- Fix flowmovement unit mismatch: MGC computed flow in canonical (m³/s)
  but rotatingMachine expects output units (m³/h). All flowmovement calls
  now convert via _canonicalToOutputFlow(). Without this fix, every pump
  stayed at minimum flow regardless of demand.
- Fix absolute scaling: demandQout vs demandQ comparison bug, reorder
  conditions so <= 0 is checked first, add else branch for valid demand.
- Fix empty Qd <= 0 block: now calls turnOffAllMachines().
- Add empty-machines guards on optimalControl and equalizePressure.
- Add null fallback (|| 0) on pressure measurement reads.
- Fix division-by-zero in calcRelativeDistanceFromPeak.
- Fix missing flowmovement after startup in equalFlowControl.
- Add marginal-cost refinement loop in BEP-Gravitation: after slope-based
  redistribution, iteratively shifts flow from highest actual dP/dQ to
  lowest using real power evaluations. Closes gap to brute-force optimum
  from 2.1% to <0.1% without affecting combination selection stability.
- Add NCog distribution comparison tests and brute-force power table test.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-07 13:40:45 +02:00
znetsixe
ffb2072baa Merge commit '85797b5' into HEAD
# Conflicts:
#	src/nodeClass.js
#	src/specificClass.js
2026-03-31 18:17:41 +02:00
Rene De Ren
85797b5b8b Align machineGroupControl with current architecture 2026-03-12 16:43:29 +01:00
znetsixe
b337bf9eb7 updates 2026-03-11 11:12:52 +01:00
znetsixe
f8012c8bad update 2026-02-23 13:17:39 +01:00
znetsixe
ee38c8b581 before functional changes by codex 2026-02-19 17:38:05 +01:00
0430471dca Merge pull request 'dev-Rene' (#3) from dev-Rene into main
Reviewed-on: https://gitea.centraal.wbd-rd.nl/RnD/machineGroupControl/pulls/3
2025-12-19 10:38:06 +00:00
znetsixe
f4cb329597 updates 2025-11-25 15:10:36 +01:00
znetsixe
b49f0c3ed2 attempt to fix flow distribution 2025-11-22 21:09:38 +01:00
znetsixe
edcffade75 Added edge case for when 1 pump cant handle the scope 2025-11-20 22:28:49 +01:00
znetsixe
b6ffefc92b Lots of minor bug fixes to update on architecture choices 2025-11-13 19:39:32 +01:00
znetsixe
ed2cf4c23d fixed outputformats 2025-11-06 11:18:38 +01:00
681856104d Merge pull request 'changed colours, description based on s88' (#2) from dev-Rene into main
Reviewed-on: https://gitea.centraal.wbd-rd.nl/RnD/machineGroupControl/pulls/2
2025-10-16 13:22:56 +00:00
c0e4539b50 Merge pull request 'dev-Rene' (#1) from dev-Rene into main
Reviewed-on: https://gitea.centraal.wbd-rd.nl/RnD/machineGroupControl/pulls/1
2025-10-06 14:15:42 +00:00
20 changed files with 1792 additions and 504 deletions

23
CLAUDE.md Normal file
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@@ -0,0 +1,23 @@
# machineGroupControl — Claude Code context
Coordinates multiple rotatingMachine or valve children.
Part of the [EVOLV](https://gitea.wbd-rd.nl/RnD/EVOLV) wastewater-automation platform.
## S88 classification
| Level | Colour | Placement lane |
|---|---|---|
| **Unit** | `#50a8d9` | L4 |
## Flow layout rules
When wiring this node into a multi-node demo or production flow, follow the
placement rule set in the **EVOLV superproject**:
> `.claude/rules/node-red-flow-layout.md` (in the EVOLV repo root)
Key points for this node:
- Place on lane **L4** (x-position per the lane table in the rule).
- Stack same-level siblings vertically.
- Parent/children sit on adjacent lanes (children one lane left, parent one lane right).
- Wrap in a Node-RED group box coloured `#50a8d9` (Unit).

8
examples/README.md Normal file
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@@ -0,0 +1,8 @@
# machineGroupControl Example Flows
Import-ready Node-RED examples for machineGroupControl.
## Files
- basic.flow.json
- integration.flow.json
- edge.flow.json

6
examples/basic.flow.json Normal file
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@@ -0,0 +1,6 @@
[
{"id":"machineGroupControl_basic_tab","type":"tab","label":"machineGroupControl basic","disabled":false,"info":"machineGroupControl basic example"},
{"id":"machineGroupControl_basic_node","type":"machineGroupControl","z":"machineGroupControl_basic_tab","name":"machineGroupControl basic","x":420,"y":180,"wires":[["machineGroupControl_basic_dbg"]]},
{"id":"machineGroupControl_basic_inj","type":"inject","z":"machineGroupControl_basic_tab","name":"basic trigger","props":[{"p":"topic","vt":"str"},{"p":"payload","vt":"str"}],"topic":"ping","payload":"1","payloadType":"str","x":160,"y":180,"wires":[["machineGroupControl_basic_node"]]},
{"id":"machineGroupControl_basic_dbg","type":"debug","z":"machineGroupControl_basic_tab","name":"machineGroupControl basic debug","active":true,"tosidebar":true,"console":false,"tostatus":false,"complete":"true","targetType":"full","x":660,"y":180,"wires":[]}
]

6
examples/edge.flow.json Normal file
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@@ -0,0 +1,6 @@
[
{"id":"machineGroupControl_edge_tab","type":"tab","label":"machineGroupControl edge","disabled":false,"info":"machineGroupControl edge example"},
{"id":"machineGroupControl_edge_node","type":"machineGroupControl","z":"machineGroupControl_edge_tab","name":"machineGroupControl edge","x":420,"y":180,"wires":[["machineGroupControl_edge_dbg"]]},
{"id":"machineGroupControl_edge_inj","type":"inject","z":"machineGroupControl_edge_tab","name":"unknown topic","props":[{"p":"topic","vt":"str"},{"p":"payload","vt":"str"}],"topic":"doesNotExist","payload":"x","payloadType":"str","x":170,"y":180,"wires":[["machineGroupControl_edge_node"]]},
{"id":"machineGroupControl_edge_dbg","type":"debug","z":"machineGroupControl_edge_tab","name":"machineGroupControl edge debug","active":true,"tosidebar":true,"console":false,"tostatus":false,"complete":"true","targetType":"full","x":660,"y":180,"wires":[]}
]

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@@ -0,0 +1,6 @@
[
{"id":"machineGroupControl_int_tab","type":"tab","label":"machineGroupControl integration","disabled":false,"info":"machineGroupControl integration example"},
{"id":"machineGroupControl_int_node","type":"machineGroupControl","z":"machineGroupControl_int_tab","name":"machineGroupControl integration","x":420,"y":180,"wires":[["machineGroupControl_int_dbg"]]},
{"id":"machineGroupControl_int_inj","type":"inject","z":"machineGroupControl_int_tab","name":"registerChild","props":[{"p":"topic","vt":"str"},{"p":"payload","vt":"str"}],"topic":"registerChild","payload":"example-child-id","payloadType":"str","x":170,"y":180,"wires":[["machineGroupControl_int_node"]]},
{"id":"machineGroupControl_int_dbg","type":"debug","z":"machineGroupControl_int_tab","name":"machineGroupControl integration debug","active":true,"tosidebar":true,"console":false,"tostatus":false,"complete":"true","targetType":"full","x":680,"y":180,"wires":[]}
]

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@@ -18,6 +18,8 @@
defaults: {
// Define default properties
name: { value: "" },
processOutputFormat: { value: "process" },
dbaseOutputFormat: { value: "influxdb" },
// Logger properties
enableLog: { value: false },
@@ -39,7 +41,7 @@
icon: "font-awesome/fa-cogs",
label: function () {
return this.positionIcon + " " + "machineGroup";
return (this.positionIcon || "") + " machineGroup";
},
oneditprepare: function() {
// Initialize the menu data for the node
@@ -74,6 +76,24 @@
<script type="text/html" data-template-name="machineGroupControl">
<h3>Output Formats</h3>
<div class="form-row">
<label for="node-input-processOutputFormat"><i class="fa fa-random"></i> Process Output</label>
<select id="node-input-processOutputFormat" style="width:60%;">
<option value="process">process</option>
<option value="json">json</option>
<option value="csv">csv</option>
</select>
</div>
<div class="form-row">
<label for="node-input-dbaseOutputFormat"><i class="fa fa-database"></i> Database Output</label>
<select id="node-input-dbaseOutputFormat" style="width:60%;">
<option value="influxdb">influxdb</option>
<option value="json">json</option>
<option value="csv">csv</option>
</select>
</div>
<!-- Logger fields injected here -->
<div id="logger-fields-placeholder"></div>

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@@ -4,7 +4,7 @@
"description": "Control module machineGroupControl",
"main": "mgc.js",
"scripts": {
"test": "node mgc.js"
"test": "node --test test/basic/*.test.js test/integration/*.test.js test/edge/*.test.js"
},
"repository": {
"type": "git",

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@@ -1,288 +1,345 @@
// ...existing code...
const MachineGroup = require('./specificClass.js');
'use strict';
const MachineGroup = require('./specificClass');
const Machine = require('../../rotatingMachine/src/specificClass');
const Measurement = require('../../measurement/src/specificClass');
const specs = require('../../generalFunctions/datasets/assetData/curves/hidrostal-H05K-S03R.json');
const baseCurve = require('../../generalFunctions/datasets/assetData/curves/hidrostal-H05K-S03R.json');
const CONTROL_MODES = ['optimalcontrol', 'prioritycontrol', 'prioritypercentagecontrol'];
const MODE_LABELS = {
optimalcontrol: 'OPT',
prioritycontrol: 'PRIO',
prioritypercentagecontrol: 'PERC'
};
const stateConfig = {
time: { starting: 0, warmingup: 0, stopping: 0, coolingdown: 0, emergencystop: 0 },
movement: { speed: 1200, mode: 'staticspeed', maxSpeed: 1800 }
};
const stateConfig = { time:{starting:0,warmingup:0,stopping:0,coolingdown:0}, movement:{speed:1000,mode:"staticspeed"} };
const ptConfig = {
general:{ logging:{enabled:false,logLevel:"warn"}, name:"testpt", id:"pt-1", unit:"mbar" },
functionality:{ softwareType:"measurement", role:"sensor" },
asset:{ category:"sensor", type:"pressure", model:"testmodel", supplier:"vega", unit:"mbar" },
general: { logging: { enabled: false, logLevel: 'error' }, name: 'synthetic-pt', id: 'pt-1', unit: 'mbar' },
functionality: {
softwareType: 'measurement',
role: 'sensor',
positionVsParent: 'downstream'
},
asset: { category: 'sensor', type: 'pressure', model: 'synthetic-pt', supplier: 'lab', unit: 'mbar' },
scaling: { absMin: 0, absMax: 4000 }
};
const testSuite = [];
const efficiencyComparisons = [];
const scenarios = [
{
name: 'balanced_pair',
description: 'Two identical pumps validate equal-machine behaviour.',
machines: [
{ id: 'eq-1', label: 'equal-A', curveMods: { flowScale: 1, powerScale: 1 } },
{ id: 'eq-2', label: 'equal-B', curveMods: { flowScale: 1, powerScale: 1 } }
],
pressures: [900, 1300, 1700],
flowTargetsPercent: [0.1, 0.4, 0.7, 1],
flowMatchTolerance: 5,
priorityList: ['eq-1', 'eq-2']
},
{
name: 'mixed_trio',
description: 'High / mid / low efficiency pumps to stress unequal-machine behaviour.',
machines: [
{ id: 'hi', label: 'high-eff', curveMods: { flowScale: 1.25, powerScale: 0.82, flowTilt: 0.1, powerTilt: -0.05 } },
{ id: 'mid', label: 'mid-eff', curveMods: { flowScale: 1, powerScale: 1 } },
{ id: 'low', label: 'low-eff', curveMods: { flowScale: 0.7, powerScale: 1.35, flowTilt: -0.08, powerTilt: 0.15 } }
],
pressures: [800, 1200, 1600, 2000],
flowTargetsPercent: [0.1, 0.35, 0.7, 1],
flowMatchTolerance: 8,
priorityList: ['hi', 'mid', 'low']
}
];
function logPass(name, details="") {
const entry = { name, status:"PASS", details };
testSuite.push(entry);
console.log(`${name}${details ? `${details}` : ""}`);
function createGroupConfig(name) {
return {
general: { logging: { enabled: false, logLevel: 'error' }, name: `machinegroup-${name}` },
functionality: { softwareType: 'machinegroup', role: 'groupcontroller' },
scaling: { current: 'normalized' },
mode: { current: 'optimalcontrol' }
};
}
function logFail(name, error) {
const entry = { name, status:"FAIL", details:error?.message || error };
testSuite.push(entry);
console.error(`${name}${entry.details}`);
function sleep(ms) {
return new Promise(resolve => setTimeout(resolve, ms));
}
function approxEqual(actual, expected, tolerancePct=1) {
const tolerance = (expected * tolerancePct) / 100;
return actual >= expected - tolerance && actual <= expected + tolerance;
async function setPressure(pt, value) {
const retries = 6;
for (let attempt = 0; attempt < retries; attempt += 1) {
try {
pt.calculateInput(value);
return;
} catch (error) {
const message = error?.message || String(error);
if (!message.toLowerCase().includes('coolprop is still warming up')) {
throw error;
}
await sleep(50);
}
}
throw new Error(`Unable to update pressure to ${value} mbar; CoolProp did not initialise in time.`);
}
function deepClone(obj) {
return JSON.parse(JSON.stringify(obj));
}
function distortSeries(series = [], scale = 1, tilt = 0) {
if (!Array.isArray(series) || series.length === 0) {
return series;
}
const lastIndex = series.length - 1;
return series.map((value, index) => {
const gradient = lastIndex === 0 ? 0 : index / lastIndex - 0.5;
const distorted = value * scale * (1 + tilt * gradient);
return Number(Math.max(distorted, 0).toFixed(6));
});
}
function createSyntheticCurve(mods = {}) {
const { flowScale = 1, powerScale = 1, flowTilt = 0, powerTilt = 0 } = mods;
const curve = deepClone(baseCurve);
if (curve.nq) {
Object.values(curve.nq).forEach(set => {
set.y = distortSeries(set.y, flowScale, flowTilt);
});
}
if (curve.np) {
Object.values(curve.np).forEach(set => {
set.y = distortSeries(set.y, powerScale, powerTilt);
});
}
return curve;
}
async function sleep(ms){ return new Promise(resolve => setTimeout(resolve, ms)); }
function createMachineConfig(id, label) {
return {
general:{ logging:{enabled:false,logLevel:"warn"}, name:label, id, unit:"m3/h" },
functionality:{ softwareType:"machine", role:"rotationaldevicecontroller" },
asset:{ category:"pump", type:"centrifugal", model:"hidrostal-h05k-s03r", supplier:"hydrostal", machineCurve:specs },
general: { logging: { enabled: false, logLevel: 'error' }, name: label, id, unit: 'm3/h' },
functionality: { softwareType: 'machine', role: 'rotationaldevicecontroller' },
asset: { category: 'pump', type: 'centrifugal', model: 'hidrostal-h05k-s03r', supplier: 'hidrostal', machineCurve: baseCurve },
mode: {
current:"auto",
current: 'auto',
allowedActions: {
auto:["execSequence","execMovement","flowMovement","statusCheck"],
virtualControl:["execMovement","statusCheck"],
fysicalControl:["statusCheck"]
auto: ['execsequence', 'execmovement', 'flowmovement', 'statuscheck'],
virtualControl: ['execmovement', 'statuscheck'],
fysicalControl: ['statuscheck']
},
allowedSources: {
auto:["parent","GUI"],
virtualControl:["GUI"],
fysicalControl:["fysical"]
auto: ['parent', 'GUI'],
virtualControl: ['GUI'],
fysicalControl: ['fysical']
}
},
sequences: {
startup:["starting","warmingup","operational"],
shutdown:["stopping","coolingdown","idle"],
emergencystop:["emergencystop","off"],
boot:["idle","starting","warmingup","operational"]
startup: ['starting', 'warmingup', 'operational'],
shutdown: ['stopping', 'coolingdown', 'idle'],
emergencystop: ['emergencystop', 'off'],
boot: ['idle', 'starting', 'warmingup', 'operational']
}
};
}
async function bootstrapGroup() {
const groupCfg = {
general:{ logging:{enabled:false,logLevel:"warn"}, name:"testmachinegroup" },
functionality:{ softwareType:"machinegroup", role:"groupcontroller" },
scaling:{ current:"normalized" },
mode:{ current:"optimalcontrol" }
};
const mg = new MachineGroup(groupCfg);
async function bootstrapScenarioMachines(scenario) {
const mg = new MachineGroup(createGroupConfig(scenario.name));
const pt = new Measurement(ptConfig);
for (let idx=1; idx<=2; idx++){
const machine = new Machine(createMachineConfig(String(idx),`machine-${idx}`), stateConfig);
mg.childRegistrationUtils.registerChild(machine,"downstream");
machine.childRegistrationUtils.registerChild(pt,"downstream");
for (const machineDef of scenario.machines) {
const machine = new Machine(createMachineConfig(machineDef.id, machineDef.label), stateConfig);
if (machineDef.curveMods) {
machine.updateCurve(createSyntheticCurve(machineDef.curveMods));
}
pt.calculateInput(1000);
await sleep(10);
mg.childRegistrationUtils.registerChild(machine, 'downstream');
machine.childRegistrationUtils.registerChild(pt, 'downstream');
}
await sleep(25);
return { mg, pt };
}
function captureState(mg,label){
return {
label,
machines: Object.entries(mg.machines).map(([id,machine]) => ({
id,
state: machine.state.getCurrentState(),
position: machine.state.getCurrentPosition(),
predictedFlow: machine.measurements.type("flow").variant("predicted").position("downstream").getCurrentValue() || 0,
predictedPower: machine.measurements.type("power").variant("predicted").position("upstream").getCurrentValue() || 0
})),
totals: {
flow: mg.measurements.type("flow").variant("predicted").position("downstream").getCurrentValue() || 0,
power: mg.measurements.type("power").variant("predicted").position("upstream").getCurrentValue() || 0,
efficiency: mg.measurements.type("efficiency").variant("predicted").position("downstream").getCurrentValue() || 0
function captureTotals(mg) {
const flow = mg.measurements.type('flow').variant('predicted').position('atequipment').getCurrentValue() || 0;
const power = mg.measurements.type('power').variant('predicted').position('atequipment').getCurrentValue() || 0;
const efficiency = mg.measurements.type('efficiency').variant('predicted').position('atequipment').getCurrentValue() || 0;
return { flow, power, efficiency };
}
function computeAbsoluteTargets(dynamicTotals, percentages) {
const { flow } = dynamicTotals;
const min = Number.isFinite(flow.min) ? flow.min : 0;
const max = Number.isFinite(flow.max) ? flow.max : 0;
const span = Math.max(max - min, 1);
return percentages.map(percent => {
const pct = Math.max(0, Math.min(1, percent));
return min + pct * span;
});
}
async function driveModeToFlow({ mg, pt, mode, pressure, targetFlow, priorityOrder }) {
await setPressure(pt, pressure);
await sleep(15);
mg.setMode(mode);
mg.setScaling('normalized'); // required for prioritypercentagecontrol, works for others too
const dynamic = mg.calcDynamicTotals();
const span = Math.max(dynamic.flow.max - dynamic.flow.min, 1);
const normalizedTarget = ((targetFlow - dynamic.flow.min) / span) * 100;
let low = 0;
let high = 100;
let demand = Math.max(0, Math.min(100, normalizedTarget || 0));
let best = { demand, flow: 0, power: 0, efficiency: 0, error: Infinity };
for (let attempt = 0; attempt < 4; attempt += 1) {
await mg.handleInput('parent', demand, Infinity, priorityOrder);
await sleep(30);
const totals = captureTotals(mg);
const error = Math.abs(totals.flow - targetFlow);
if (error < best.error) {
best = {
demand,
flow: totals.flow,
power: totals.power,
efficiency: totals.efficiency,
error
};
}
async function testNormalizedScaling(mg,pt){
const label = "Normalized scaling tracks expected flow";
try{
mg.setScaling("normalized");
const dynamic = mg.calcDynamicTotals();
const checkpoints = [0,10,25,50,75,100];
for (const demand of checkpoints){
await mg.handleInput("parent", demand);
pt.calculateInput(1400);
await sleep(20);
const totals = mg.measurements.type("flow").variant("predicted").position("downstream").getCurrentValue() || 0;
const expected = dynamic.flow.min + (demand/100)*(dynamic.flow.max - dynamic.flow.min);
if(!approxEqual(totals, expected, 2)){
throw new Error(`Flow ${totals.toFixed(2)} outside expectation ${expected.toFixed(2)} @ ${demand}%`);
if (totals.flow > targetFlow) {
high = demand;
} else {
low = demand;
}
}
logPass(label);
}catch(err){ logFail(label, err); }
demand = (low + high) / 2;
}
async function testAbsoluteScaling(mg,pt){
const label = "Absolute scaling accepts direct flow targets";
try{
mg.setScaling("absolute");
mg.setMode("optimalcontrol");
const absMin = mg.dynamicTotals.flow.min;
const absMax = mg.dynamicTotals.flow.max;
const demandPoints = [absMin, absMin+20, (absMin+absMax)/2, absMax-20];
for(const setpoint of demandPoints){
await mg.handleInput("parent", setpoint);
pt.calculateInput(1400);
await sleep(20);
const flow = mg.measurements.type("flow").variant("predicted").position("downstream").getCurrentValue() || 0;
if(!approxEqual(flow, setpoint, 2)){
throw new Error(`Flow ${flow.toFixed(2)} != demand ${setpoint.toFixed(2)}`);
}
}
logPass(label);
}catch(err){ logFail(label, err); }
return best;
}
async function testModeTransitions(mg,pt){
const label = "Mode transitions keep machines responsive";
try{
const modes = ["optimalcontrol","prioritycontrol","prioritypercentagecontrol"];
mg.setScaling("normalized");
for(const mode of modes){
mg.setMode(mode);
await mg.handleInput("parent", 50);
pt.calculateInput(1300);
await sleep(20);
const snapshot = captureState(mg, mode);
const active = snapshot.machines.filter(m => m.state !== "idle");
if(active.length === 0){
throw new Error(`No active machines after switching to ${mode}`);
}
}
logPass(label);
}catch(err){ logFail(label, err); }
}
async function testRampBehaviour(mg,pt){
const label = "Ramp up/down keeps monotonic flow";
try{
mg.setMode("optimalcontrol");
mg.setScaling("normalized");
const upDemands = [0,20,40,60,80,100];
let lastFlow = 0;
for(const demand of upDemands){
await mg.handleInput("parent", demand);
pt.calculateInput(1500);
await sleep(15);
const flow = mg.measurements.type("flow").variant("predicted").position("downstream").getCurrentValue() || 0;
if(flow < lastFlow - 1){
throw new Error(`Flow decreased during ramp up: ${flow.toFixed(2)} < ${lastFlow.toFixed(2)}`);
}
lastFlow = flow;
}
const downDemands = [100,80,60,40,20,0];
lastFlow = Infinity;
for(const demand of downDemands){
await mg.handleInput("parent", demand);
pt.calculateInput(1200);
await sleep(15);
const flow = mg.measurements.type("flow").variant("predicted").position("downstream").getCurrentValue() || 0;
if(flow > lastFlow + 1){
throw new Error(`Flow increased during ramp down: ${flow.toFixed(2)} > ${lastFlow.toFixed(2)}`);
}
lastFlow = flow;
}
logPass(label);
}catch(err){ logFail(label, err); }
}
async function testPressureAdaptation(mg,pt){
const label = "Pressure changes update predictions";
try{
mg.setMode("optimalcontrol");
mg.setScaling("normalized");
const pressures = [800,1200,1600,2000];
let previousFlow = null;
for(const p of pressures){
pt.calculateInput(p);
await mg.handleInput("parent", 50);
await sleep(20);
const flow = mg.measurements.type("flow").variant("predicted").position("downstream").getCurrentValue() || 0;
if(previousFlow !== null && Math.abs(flow - previousFlow) < 0.5){
throw new Error(`Flow did not react to pressure shift (${previousFlow.toFixed(2)} -> ${flow.toFixed(2)})`);
}
previousFlow = flow;
}
logPass(label);
}catch(err){ logFail(label, err); }
}
async function comparePriorityVsOptimal(mg, pt){
const label = "Priority vs Optimal efficiency comparison";
try{
mg.setScaling("normalized");
const pressures = [800, 1100, 1400, 1700];
const demands = [...Array(21)].map((_, idx) => idx * 5);
for (const pressure of pressures) {
pt.calculateInput(pressure);
await sleep(15);
for (const demand of demands) {
mg.setMode("optimalcontrol");
await mg.handleInput("parent", demand);
pt.calculateInput(pressure);
await sleep(20);
const optimalTotals = captureState(mg, `optimal-${pressure}-${demand}`).totals;
mg.setMode("prioritycontrol");
await mg.handleInput("parent", demand);
pt.calculateInput(pressure);
await sleep(20);
const priorityTotals = captureState(mg, `priority-${pressure}-${demand}`).totals;
efficiencyComparisons.push({
pressure,
demandPercent: demand,
optimalFlow: Number(optimalTotals.flow.toFixed(3)),
optimalPower: Number(optimalTotals.power.toFixed(3)),
optimalEfficiency: Number((optimalTotals.efficiency || 0).toFixed(4)),
priorityFlow: Number(priorityTotals.flow.toFixed(3)),
priorityPower: Number(priorityTotals.power.toFixed(3)),
priorityEfficiency: Number((priorityTotals.efficiency || 0).toFixed(4)),
efficiencyDelta: Number(((priorityTotals.efficiency || 0) - (optimalTotals.efficiency || 0)).toFixed(4)),
powerDelta: Number((priorityTotals.power - optimalTotals.power).toFixed(3))
function formatEfficiencyRows(rows) {
return rows.map(row => {
const optimal = row.modes.optimalcontrol;
const priority = row.modes.prioritycontrol;
const percentage = row.modes.prioritypercentagecontrol;
return {
pressure: row.pressure,
targetFlow: Number(row.targetFlow.toFixed(1)),
[`${MODE_LABELS.optimalcontrol}_Flow`]: Number(optimal.flow.toFixed(1)),
[`${MODE_LABELS.optimalcontrol}_Eff`]: Number(optimal.efficiency.toFixed(3)),
[`${MODE_LABELS.prioritycontrol}_Flow`]: Number(priority.flow.toFixed(1)),
[`${MODE_LABELS.prioritycontrol}_Eff`]: Number(priority.efficiency.toFixed(3)),
[`Δ${MODE_LABELS.prioritycontrol}-OPT_Eff`]: Number(
(priority.efficiency - optimal.efficiency).toFixed(3)
),
[`${MODE_LABELS.prioritypercentagecontrol}_Flow`]: Number(percentage.flow.toFixed(1)),
[`${MODE_LABELS.prioritypercentagecontrol}_Eff`]: Number(percentage.efficiency.toFixed(3)),
[`Δ${MODE_LABELS.prioritypercentagecontrol}-OPT_Eff`]: Number(
(percentage.efficiency - optimal.efficiency).toFixed(3)
)
};
});
}
function summarizeEfficiency(rows) {
const map = new Map();
rows.forEach(row => {
CONTROL_MODES.forEach(mode => {
const key = `${row.scenario}-${mode}`;
if (!map.has(key)) {
map.set(key, {
scenario: row.scenario,
mode,
samples: 0,
avgFlowDiff: 0,
avgEfficiency: 0
});
}
const bucket = map.get(key);
const stats = row.modes[mode];
bucket.samples += 1;
bucket.avgFlowDiff += Math.abs(stats.flow - row.targetFlow);
bucket.avgEfficiency += stats.efficiency || 0;
});
});
return Array.from(map.values()).map(item => ({
scenario: item.scenario,
mode: item.mode,
samples: item.samples,
avgFlowDiff: Number((item.avgFlowDiff / item.samples).toFixed(2)),
avgEfficiency: Number((item.avgEfficiency / item.samples).toFixed(3))
}));
}
logPass(label, "efficiencyComparisons array populated");
} catch (err) {
logFail(label, err);
async function evaluateScenario(scenario) {
console.log(`\nRunning scenario "${scenario.name}": ${scenario.description}`);
const { mg, pt } = await bootstrapScenarioMachines(scenario);
const priorityOrder =
scenario.priorityList && scenario.priorityList.length
? scenario.priorityList
: scenario.machines.map(machine => machine.id);
const rows = [];
for (const pressure of scenario.pressures) {
await setPressure(pt, pressure);
await sleep(20);
const dynamicTotals = mg.calcDynamicTotals();
const targets = computeAbsoluteTargets(dynamicTotals, scenario.flowTargetsPercent || [0, 0.5, 1]);
for (let idx = 0; idx < targets.length; idx += 1) {
const targetFlow = targets[idx];
const row = {
scenario: scenario.name,
pressure,
targetFlow,
modes: {}
};
for (const mode of CONTROL_MODES) {
const stats = await driveModeToFlow({
mg,
pt,
mode,
pressure,
targetFlow,
priorityOrder
});
row.modes[mode] = stats;
}
rows.push(row);
}
}
console.log(`Efficiency comparison table for scenario "${scenario.name}":`);
console.table(formatEfficiencyRows(rows));
return { rows };
}
async function run() {
console.log("🚀 Starting machine-group integration tests...");
const { mg, pt } = await bootstrapGroup();
const combinedRows = [];
await testNormalizedScaling(mg, pt);
await testAbsoluteScaling(mg, pt);
await testModeTransitions(mg, pt);
await testRampBehaviour(mg, pt);
await testPressureAdaptation(mg, pt);
await comparePriorityVsOptimal(mg, pt);
for (const scenario of scenarios) {
const { rows } = await evaluateScenario(scenario);
combinedRows.push(...rows);
}
console.log("\n📋 TEST SUMMARY");
console.table(testSuite);
console.log("\n📊 efficiencyComparisons:");
console.dir(efficiencyComparisons, { depth:null });
console.log("✅ All tests completed.");
console.log('\nEfficiency summary by scenario and control mode:');
console.table(summarizeEfficiency(combinedRows));
console.log('\nAll machine group control tests completed successfully.');
}
run().catch(err => {
console.error("💥 Test harness crashed:", err);
console.error('Machine group control test harness crashed:', err);
process.exitCode = 1;
});
// ...existing code...
// Run all tests
run();

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@@ -1,4 +1,4 @@
const { outputUtils, configManager } = require("generalFunctions");
const { outputUtils, configManager, convert } = require("generalFunctions");
const Specific = require("./specificClass");
class nodeClass {
@@ -37,26 +37,33 @@ class nodeClass {
_loadConfig(uiConfig, node) {
const cfgMgr = new configManager();
this.defaultConfig = cfgMgr.getConfig(this.name);
const flowUnit = this._resolveUnitOrFallback(uiConfig.unit, 'volumeFlowRate', 'm3/h', 'flow');
// Build config: base sections (no domain-specific config for group controller)
this.config = cfgMgr.buildConfig(this.name, uiConfig, node.id);
// Merge UI config over defaults
this.config = {
general: {
name: uiConfig.name,
id: node.id, // node.id is for the child registration process
unit: uiConfig.unit, // add converter options later to convert to default units (need like a model that defines this which units we are going to use and then conver to those standards)
logging: {
enabled: uiConfig.enableLog,
logLevel: uiConfig.logLevel,
},
},
functionality: {
positionVsParent: uiConfig.positionVsParent || "atEquipment", // Default to 'atEquipment' if not set
},
};
// Utility for formatting outputs
this._output = new outputUtils();
}
_resolveUnitOrFallback(candidate, expectedMeasure, fallbackUnit, label) {
const raw = typeof candidate === "string" ? candidate.trim() : "";
const fallback = String(fallbackUnit || "").trim();
if (!raw) {
return fallback;
}
try {
const desc = convert().describe(raw);
if (expectedMeasure && desc.measure !== expectedMeasure) {
throw new Error(`expected '${expectedMeasure}' but got '${desc.measure}'`);
}
return raw;
} catch (error) {
this.node?.warn?.(`Invalid ${label} unit '${raw}' (${error.message}). Falling back to '${fallback}'.`);
return fallback;
}
}
_updateNodeStatus() {
//console.log('Updating node status...');
const mg = this.source;
@@ -67,20 +74,20 @@ class nodeClass {
const totalFlow = mg.measurements
?.type("flow")
?.variant("predicted")
?.position("downstream")
?.getCurrentValue() || 0;
?.position("atequipment")
?.getCurrentValue(mg?.unitPolicy?.output?.flow || 'm3/h') || 0;
const totalPower = mg.measurements
?.type("power")
?.variant("predicted")
?.position("atEquipment")
?.getCurrentValue() || 0;
?.getCurrentValue(mg?.unitPolicy?.output?.power || 'kW') || 0;
// Calculate total capacity based on available machines with safety checks
const availableMachines = Object.values(mg.machines || {}).filter((machine) => {
// Safety check: ensure machine and machine.state exist
if (!machine || !machine.state || typeof machine.state.getCurrentState !== 'function') {
console.warn(`Machine missing or invalid:`, machine?.config?.general?.id || 'unknown');
mg.logger?.warn(`Machine missing or invalid: ${machine?.config?.general?.id || 'unknown'}`);
return false;
}
@@ -181,8 +188,8 @@ class nodeClass {
*/
_tick() {
const raw = this.source.getOutput();
const processMsg = this._output.formatMsg(raw, this.config, "process");
const influxMsg = this._output.formatMsg(raw, this.config, "influxdb");
const processMsg = this._output.formatMsg(raw, this.source.config, "process");
const influxMsg = this._output.formatMsg(raw, this.source.config, "influxdb");
// Send only updated outputs on ports 0 & 1
this.node.send([processMsg, influxMsg]);
@@ -197,64 +204,62 @@ class nodeClass {
async (msg, send, done) => {
const mg = this.source;
const RED = this.RED;
try {
switch (msg.topic) {
case "registerChild":
console.log(`Registering child in mgc: ${msg.payload}`);
case "registerChild": {
const childId = msg.payload;
const childObj = RED.nodes.getNode(childId);
// Debug: Check what we're getting
console.log(`Child object:`, childObj ? 'found' : 'NOT FOUND');
console.log(`Child source:`, childObj?.source ? 'exists' : 'MISSING');
if (childObj?.source) {
console.log(`Child source type:`, childObj.source.constructor.name);
console.log(`Child has state:`, !!childObj.source.state);
if (!childObj || !childObj.source) {
mg.logger.warn(`registerChild skipped: missing child/source for id=${childId}`);
break;
}
mg.childRegistrationUtils.registerChild(
childObj.source,
msg.positionVsParent
);
mg.logger.debug(`Registering child: ${childId}, found: ${!!childObj}, source: ${!!childObj?.source}`);
// Debug: Check machines after registration
console.log(`Total machines after registration:`, Object.keys(mg.machines || {}).length);
mg.childRegistrationUtils.registerChild(childObj.source, msg.positionVsParent);
mg.logger.debug(`Total machines after registration: ${Object.keys(mg.machines || {}).length}`);
break;
}
case "setMode":
case "setMode": {
const mode = msg.payload;
mg.setMode(mode);
break;
case "setScaling":
const scaling = msg.payload;
mg.setScaling(scaling);
break;
case "Qd":
const Qd = parseFloat(msg.payload);
const sourceQd = "parent";
if (isNaN(Qd)) {
return mg.logger.error(`Invalid demand value: ${Qd}`);
}
case "setScaling": {
const scaling = msg.payload;
mg.setScaling(scaling);
break;
}
case "Qd": {
const Qd = parseFloat(msg.payload);
const sourceQd = "parent";
if (isNaN(Qd)) {
mg.logger.error(`Invalid demand value: ${msg.payload}`);
break;
}
try {
await mg.handleInput(sourceQd, Qd);
msg.topic = mg.config.general.name;
msg.payload = "done";
send(msg);
} catch (e) {
console.log(e);
} catch (error) {
mg.logger.error(`Failed to process Qd: ${error.message}`);
}
break;
}
default:
// Handle unknown topics if needed
mg.logger.warn(`Unknown topic: ${msg.topic}`);
break;
}
done();
} catch (error) {
mg.logger.error(`Input handler failure: ${error.message}`);
}
if (typeof done === 'function') done();
}
);
}
@@ -266,7 +271,7 @@ class nodeClass {
this.node.on("close", (done) => {
clearInterval(this._tickInterval);
clearInterval(this._statusInterval);
done();
if (typeof done === 'function') done();
});
}
}

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12
test/README.md Normal file
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@@ -0,0 +1,12 @@
# machineGroupControl Test Suite Layout
Required EVOLV layout:
- basic/
- integration/
- edge/
- helpers/
Baseline structure tests:
- basic/structure-module-load.basic.test.js
- integration/structure-examples.integration.test.js
- edge/structure-examples-node-type.edge.test.js

0
test/basic/.gitkeep Normal file
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@@ -0,0 +1,8 @@
const test = require('node:test');
const assert = require('node:assert/strict');
test('machineGroupControl module load smoke', () => {
assert.doesNotThrow(() => {
require('../../mgc.js');
});
});

0
test/edge/.gitkeep Normal file
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@@ -0,0 +1,11 @@
const test = require('node:test');
const assert = require('node:assert/strict');
const fs = require('node:fs');
const path = require('node:path');
const flow = JSON.parse(fs.readFileSync(path.resolve(__dirname, '../../examples/basic.flow.json'), 'utf8'));
test('basic example includes node type machineGroupControl', () => {
const count = flow.filter((n) => n && n.type === 'machineGroupControl').length;
assert.equal(count >= 1, true);
});

0
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@@ -0,0 +1,227 @@
/**
* 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: { category: 'pump', type: 'centrifugal', model, supplier: 'hidrostal' },
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)}%`);
}
});

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@@ -0,0 +1,442 @@
/**
* Group Distribution Strategy Comparison Test
*
* Compares three flow distribution strategies for a group of pumps:
* 1. NCog/BEP-Gravitation (slope-weighted — favours pumps with flatter power curves)
* 2. Equal distribution (same flow to every pump)
* 3. Spillover (fill smallest pump first, overflow to next)
*
* For variable-speed centrifugal pumps, specific flow (Q/P) is monotonically
* decreasing per pump (affinity laws: P ∝ Q³), so NCog = 0 for all pumps.
* The real optimization value comes from the BEP-Gravitation algorithm's
* slope-based redistribution, which IS sensitive to curve shape differences.
*
* These tests verify that:
* - Asymmetric pumps produce different power slopes (the basis for optimization)
* - BEP-Gravitation uses less total power than naive strategies for mixed pumps
* - Equal pumps receive equal treatment under all strategies
* - Spillover creates a visibly different distribution than BEP-weighted
*/
const test = require('node:test');
const assert = require('node:assert/strict');
const MachineGroup = require('../../src/specificClass');
const Machine = require('../../../rotatingMachine/src/specificClass');
const baseCurve = require('../../../generalFunctions/datasets/assetData/curves/hidrostal-H05K-S03R.json');
/* ---- helpers ---- */
function deepClone(obj) { return JSON.parse(JSON.stringify(obj)); }
function distortSeries(series, scale = 1, tilt = 0) {
const last = series.length - 1;
return series.map((v, i) => {
const gradient = last === 0 ? 0 : i / last - 0.5;
return Math.max(v * scale * (1 + tilt * gradient), 0);
});
}
function createSyntheticCurve(mods) {
const { flowScale = 1, powerScale = 1, flowTilt = 0, powerTilt = 0 } = mods;
const curve = deepClone(baseCurve);
Object.values(curve.nq).forEach(s => { s.y = distortSeries(s.y, flowScale, flowTilt); });
Object.values(curve.np).forEach(s => { s.y = distortSeries(s.y, powerScale, powerTilt); });
return curve;
}
const stateConfig = {
time: { starting: 0, warmingup: 0, stopping: 0, coolingdown: 0 },
movement: { speed: 1200, mode: 'staticspeed', maxSpeed: 1800 }
};
function createMachineConfig(id, label) {
return {
general: { logging: { enabled: false, logLevel: 'error' }, name: label, id, unit: 'm3/h' },
functionality: { softwareType: 'machine', role: 'rotationaldevicecontroller' },
asset: { category: 'pump', type: 'centrifugal', model: 'hidrostal-H05K-S03R', supplier: 'hidrostal' },
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 createGroupConfig(name) {
return {
general: { logging: { enabled: false, logLevel: 'error' }, name },
functionality: { softwareType: 'machinegroup', role: 'groupcontroller' },
scaling: { current: 'normalized' },
mode: { current: 'optimalcontrol' }
};
}
/**
* Bootstrap with differential pressure (upstream + downstream) so the predict
* engine resolves a realistic fDimension and calcEfficiencyCurve produces
* a proper BEP peak — not a monotonic Q/P curve.
*/
function bootstrapGroup(name, machineSpecs, diffMbar, upstreamMbar = 800) {
const mg = new MachineGroup(createGroupConfig(name));
const machines = {};
for (const spec of machineSpecs) {
const m = new Machine(createMachineConfig(spec.id, spec.label), stateConfig);
if (spec.curveMods) m.updateCurve(createSyntheticCurve(spec.curveMods));
// Set BOTH upstream and downstream so getMeasuredPressure computes differential
m.updateMeasuredPressure(upstreamMbar, 'upstream', {
timestamp: Date.now(), unit: 'mbar', childName: `pt-up-${spec.id}`, childId: `pt-up-${spec.id}`
});
m.updateMeasuredPressure(upstreamMbar + diffMbar, 'downstream', {
timestamp: Date.now(), unit: 'mbar', childName: `pt-dn-${spec.id}`, childId: `pt-dn-${spec.id}`
});
mg.childRegistrationUtils.registerChild(m, 'downstream');
machines[spec.id] = m;
}
return { mg, machines };
}
/** Distribute flow weighted by each machine's NCog (BEP position). */
function distributeByNCog(machines, Qd) {
const entries = Object.entries(machines);
let totalNCog = entries.reduce((s, [, m]) => s + (m.NCog || 0), 0);
const distribution = {};
for (const [id, m] of entries) {
const min = m.predictFlow.currentFxyYMin;
const max = m.predictFlow.currentFxyYMax;
const flow = totalNCog > 0
? ((m.NCog || 0) / totalNCog) * Qd
: Qd / entries.length;
distribution[id] = Math.min(max, Math.max(min, flow));
}
let totalPower = 0;
for (const [id, m] of entries) {
totalPower += m.inputFlowCalcPower(distribution[id]);
}
return { distribution, totalPower };
}
/** Compute power at a given flow for a machine using its inverse curve. */
function powerAtFlow(machine, flow) {
return machine.inputFlowCalcPower(flow);
}
/** Distribute by slope-weighting: flatter dP/dQ curves attract more flow. */
function distributeBySlopeWeight(machines, Qd) {
const entries = Object.entries(machines);
// Estimate slope (dP/dQ) at midpoint for each machine
const pumpInfos = entries.map(([id, m]) => {
const min = m.predictFlow.currentFxyYMin;
const max = m.predictFlow.currentFxyYMax;
const mid = (min + max) / 2;
const delta = Math.max((max - min) * 0.05, 0.001);
const pMid = powerAtFlow(m, mid);
const pRight = powerAtFlow(m, Math.min(max, mid + delta));
const slope = Math.abs((pRight - pMid) / delta);
return { id, m, min, max, slope: Math.max(slope, 1e-6) };
});
// Weight = 1/slope: flatter curves get more flow
const totalWeight = pumpInfos.reduce((s, p) => s + (1 / p.slope), 0);
const distribution = {};
let totalPower = 0;
for (const p of pumpInfos) {
const weight = (1 / p.slope) / totalWeight;
const flow = Math.min(p.max, Math.max(p.min, Qd * weight));
distribution[p.id] = flow;
totalPower += powerAtFlow(p.m, flow);
}
return { distribution, totalPower };
}
/** Distribute equally. */
function distributeEqual(machines, Qd) {
const entries = Object.entries(machines);
const flowEach = Qd / entries.length;
const distribution = {};
let totalPower = 0;
for (const [id, m] of entries) {
const min = m.predictFlow.currentFxyYMin;
const max = m.predictFlow.currentFxyYMax;
const clamped = Math.min(max, Math.max(min, flowEach));
distribution[id] = clamped;
totalPower += powerAtFlow(m, clamped);
}
return { distribution, totalPower };
}
/** Spillover: fill smallest pump to max first, then overflow to next. */
function distributeSpillover(machines, Qd) {
const entries = Object.entries(machines)
.sort(([, a], [, b]) => a.predictFlow.currentFxyYMax - b.predictFlow.currentFxyYMax);
let remaining = Qd;
const distribution = {};
let totalPower = 0;
for (const [id, m] of entries) {
const min = m.predictFlow.currentFxyYMin;
const max = m.predictFlow.currentFxyYMax;
const assigned = Math.min(max, Math.max(min, remaining));
distribution[id] = assigned;
remaining = Math.max(0, remaining - assigned);
}
for (const [id, m] of entries) {
totalPower += powerAtFlow(m, distribution[id]);
}
return { distribution, totalPower };
}
/* ---- tests ---- */
test('NCog is meaningful (0 < NCog ≤ 1) with proper differential pressure', () => {
const { machines } = bootstrapGroup('ncog-basic', [
{ id: 'A', label: 'pump-A', curveMods: { flowScale: 1, powerScale: 1 } },
], 400); // 400 mbar differential
const m = machines['A'];
assert.ok(Number.isFinite(m.NCog), `NCog should be finite, got ${m.NCog}`);
assert.ok(m.NCog > 0 && m.NCog <= 1, `NCog should be in (0,1], got ${m.NCog.toFixed(4)}`);
assert.ok(m.cog > 0, `cog (peak specific flow) should be positive, got ${m.cog}`);
assert.ok(m.cogIndex > 0, `BEP should not be at index 0 (that means monotonic Q/P with no real peak)`);
});
test('different curve shapes produce different NCog at same pressure', () => {
// powerTilt shifts the BEP position: positive tilt makes power steeper at high flow
// (BEP moves left), negative tilt makes it flatter at high flow (BEP moves right)
const { machines } = bootstrapGroup('ncog-shapes', [
{ id: 'early', label: 'early-BEP', curveMods: { flowScale: 1, powerScale: 1, powerTilt: 0.4 } },
{ id: 'late', label: 'late-BEP', curveMods: { flowScale: 1, powerScale: 1, powerTilt: -0.3 } },
], 400);
const ncogEarly = machines['early'].NCog;
const ncogLate = machines['late'].NCog;
assert.ok(ncogEarly > 0, `Early BEP NCog should be > 0, got ${ncogEarly.toFixed(4)}`);
assert.ok(ncogLate > 0, `Late BEP NCog should be > 0, got ${ncogLate.toFixed(4)}`);
assert.ok(
ncogLate > ncogEarly,
`Late BEP pump should have higher NCog (BEP further into flow range). ` +
`early=${ncogEarly.toFixed(4)}, late=${ncogLate.toFixed(4)}`
);
});
test('NCog-weighted distribution differs from equal split for pumps with different BEPs', () => {
// Two pumps with different BEP positions (via powerTilt)
const { machines } = bootstrapGroup('ncog-vs-equal', [
{ id: 'early', label: 'early-BEP', curveMods: { flowScale: 1, powerScale: 1, powerTilt: 0.4 } },
{ id: 'late', label: 'late-BEP', curveMods: { flowScale: 1, powerScale: 1, powerTilt: -0.3 } },
], 400);
const ncogA = machines['early'].NCog;
const ncogB = machines['late'].NCog;
assert.ok(ncogA > 0 && ncogB > 0, `Both NCog should be > 0 (early=${ncogA.toFixed(3)}, late=${ncogB.toFixed(3)})`);
assert.ok(ncogA !== ncogB, 'NCog values should differ');
const totalMax = machines['early'].predictFlow.currentFxyYMax + machines['late'].predictFlow.currentFxyYMax;
const Qd = totalMax * 0.5;
const ncogResult = distributeByNCog(machines, Qd);
const equalResult = distributeEqual(machines, Qd);
// NCog distributes proportionally to BEP position — late-BEP pump gets more flow
assert.ok(
ncogResult.distribution['late'] > ncogResult.distribution['early'],
`Late-BEP pump should get more flow under NCog. ` +
`early=${ncogResult.distribution['early'].toFixed(2)}, late=${ncogResult.distribution['late'].toFixed(2)}`
);
// Equal split gives same flow to both (they have same flow range, just different BEPs)
const equalDiff = Math.abs(equalResult.distribution['early'] - equalResult.distribution['late']);
const ncogDiff = Math.abs(ncogResult.distribution['early'] - ncogResult.distribution['late']);
assert.ok(
ncogDiff > equalDiff + Qd * 0.01,
`NCog distribution should be more asymmetric than equal split`
);
});
test('asymmetric pumps have different power curve slopes', () => {
// A pump with low powerScale has a flatter power curve
const { machines } = bootstrapGroup('slope-check', [
{ id: 'flat', label: 'flat-power', curveMods: { flowScale: 1.2, powerScale: 0.7, flowTilt: 0.1 } },
{ id: 'steep', label: 'steep-power', curveMods: { flowScale: 0.8, powerScale: 1.4, flowTilt: -0.05 } },
], 400);
// Compute slope at midpoint of each machine's range
const slopes = {};
for (const [id, m] of Object.entries(machines)) {
const mid = (m.predictFlow.currentFxyYMin + m.predictFlow.currentFxyYMax) / 2;
const delta = (m.predictFlow.currentFxyYMax - m.predictFlow.currentFxyYMin) * 0.05;
const pMid = powerAtFlow(m, mid);
const pRight = powerAtFlow(m, mid + delta);
slopes[id] = (pRight - pMid) / delta;
}
assert.ok(slopes['flat'] > 0 && slopes['steep'] > 0, 'Both slopes should be positive');
assert.ok(
slopes['steep'] > slopes['flat'] * 1.3,
`Steep pump should have notably higher slope. flat=${slopes['flat'].toFixed(0)}, steep=${slopes['steep'].toFixed(0)}`
);
});
test('slope-weighted distribution routes more flow to flatter pump', () => {
const { machines } = bootstrapGroup('slope-routing', [
{ id: 'flat', label: 'flat-power', curveMods: { flowScale: 1.2, powerScale: 0.7 } },
{ id: 'steep', label: 'steep-power', curveMods: { flowScale: 0.8, powerScale: 1.4 } },
], 400);
const totalMax = machines['flat'].predictFlow.currentFxyYMax + machines['steep'].predictFlow.currentFxyYMax;
const Qd = totalMax * 0.5;
const slopeResult = distributeBySlopeWeight(machines, Qd);
assert.ok(
slopeResult.distribution['flat'] > slopeResult.distribution['steep'],
`Flat pump should get more flow. flat=${slopeResult.distribution['flat'].toFixed(2)}, steep=${slopeResult.distribution['steep'].toFixed(2)}`
);
});
test('slope-weighted uses less power than equal split for asymmetric pumps', () => {
const { machines } = bootstrapGroup('power-compare', [
{ id: 'eff', label: 'efficient', curveMods: { flowScale: 1.2, powerScale: 0.7, flowTilt: 0.12 } },
{ id: 'std', label: 'standard', curveMods: { flowScale: 1, powerScale: 1 } },
], 400);
const totalMax = machines['eff'].predictFlow.currentFxyYMax + machines['std'].predictFlow.currentFxyYMax;
const demandLevels = [0.3, 0.5, 0.7].map(p => {
const min = Math.max(machines['eff'].predictFlow.currentFxyYMin, machines['std'].predictFlow.currentFxyYMin);
return min + (totalMax - min) * p;
});
let slopeWins = 0;
const results = [];
for (const Qd of demandLevels) {
const slopeResult = distributeBySlopeWeight(machines, Qd);
const equalResult = distributeEqual(machines, Qd);
const spillResult = distributeSpillover(machines, Qd);
results.push({
demand: Qd,
slopePower: slopeResult.totalPower,
equalPower: equalResult.totalPower,
spillPower: spillResult.totalPower,
});
if (slopeResult.totalPower <= equalResult.totalPower + 1) slopeWins++;
}
assert.ok(
slopeWins >= 2,
`Slope-weighted should use ≤ power than equal in ≥ 2/3 cases.\n` +
results.map(r =>
` Qd=${r.demand.toFixed(1)}: slope=${r.slopePower.toFixed(1)}W, equal=${r.equalPower.toFixed(1)}W, spill=${r.spillPower.toFixed(1)}W`
).join('\n')
);
});
test('spillover produces visibly different distribution than slope-weighted for mixed sizes', () => {
const { machines } = bootstrapGroup('spillover-vs-slope', [
{ id: 'small', label: 'small-pump', curveMods: { flowScale: 0.6, powerScale: 0.55 } },
{ id: 'large', label: 'large-pump', curveMods: { flowScale: 1.5, powerScale: 1.2 } },
], 400);
const totalMax = machines['small'].predictFlow.currentFxyYMax + machines['large'].predictFlow.currentFxyYMax;
const Qd = totalMax * 0.5;
const slopeResult = distributeBySlopeWeight(machines, Qd);
const spillResult = distributeSpillover(machines, Qd);
// Spillover fills the small pump first, slope-weight distributes by curve shape
const slopeDiff = Math.abs(slopeResult.distribution['small'] - spillResult.distribution['small']);
const percentDiff = (slopeDiff / Qd) * 100;
assert.ok(
percentDiff > 1,
`Strategies should produce different distributions. ` +
`Slope small=${slopeResult.distribution['small'].toFixed(2)}, ` +
`Spill small=${spillResult.distribution['small'].toFixed(2)} (${percentDiff.toFixed(1)}% diff)`
);
});
test('equal pumps get equal flow under all strategies', () => {
const { machines } = bootstrapGroup('equal-pumps', [
{ id: 'A', label: 'pump-A', curveMods: { flowScale: 1, powerScale: 1 } },
{ id: 'B', label: 'pump-B', curveMods: { flowScale: 1, powerScale: 1 } },
], 400);
const totalMax = machines['A'].predictFlow.currentFxyYMax + machines['B'].predictFlow.currentFxyYMax;
const Qd = totalMax * 0.6;
const slopeResult = distributeBySlopeWeight(machines, Qd);
const equalResult = distributeEqual(machines, Qd);
const tolerance = Qd * 0.01;
assert.ok(
Math.abs(slopeResult.distribution['A'] - slopeResult.distribution['B']) < tolerance,
`Slope-weighted should split equally for identical pumps. A=${slopeResult.distribution['A'].toFixed(2)}, B=${slopeResult.distribution['B'].toFixed(2)}`
);
assert.ok(
Math.abs(equalResult.distribution['A'] - equalResult.distribution['B']) < tolerance,
`Equal should split equally. A=${equalResult.distribution['A'].toFixed(2)}, B=${equalResult.distribution['B'].toFixed(2)}`
);
// Power should be identical too
assert.ok(
Math.abs(slopeResult.totalPower - equalResult.totalPower) < 1,
`Equal pumps should produce same total power under any strategy`
);
});
test('full MGC optimalControl uses ≤ power than priorityControl for mixed pumps', async () => {
const { mg, machines } = bootstrapGroup('mgc-full', [
{ id: 'eff', label: 'efficient', curveMods: { flowScale: 1.2, powerScale: 0.7, flowTilt: 0.1 } },
{ id: 'std', label: 'standard', curveMods: { flowScale: 1, powerScale: 1 } },
{ id: 'weak', label: 'weak', curveMods: { flowScale: 0.8, powerScale: 1.3, flowTilt: -0.08 } },
], 400);
for (const m of Object.values(machines)) {
await m.handleInput('parent', 'execSequence', 'startup');
}
// Run optimalControl
mg.setMode('optimalcontrol');
mg.setScaling('normalized');
await mg.handleInput('parent', 50, Infinity);
const optPower = mg.measurements.type('power').variant('predicted').position('atequipment').getCurrentValue() || 0;
const optFlow = mg.measurements.type('flow').variant('predicted').position('atequipment').getCurrentValue() || 0;
// Reset machines
for (const m of Object.values(machines)) {
await m.handleInput('parent', 'execSequence', 'shutdown');
await m.handleInput('parent', 'execSequence', 'startup');
}
// Run priorityControl
mg.setMode('prioritycontrol');
await mg.handleInput('parent', 50, Infinity, ['eff', 'std', 'weak']);
const prioPower = mg.measurements.type('power').variant('predicted').position('atequipment').getCurrentValue() || 0;
const prioFlow = mg.measurements.type('flow').variant('predicted').position('atequipment').getCurrentValue() || 0;
assert.ok(optFlow > 0, `Optimal should deliver flow, got ${optFlow}`);
assert.ok(prioFlow > 0, `Priority should deliver flow, got ${prioFlow}`);
// Compare efficiency (flow per unit power)
const optEff = optPower > 0 ? optFlow / optPower : 0;
const prioEff = prioPower > 0 ? prioFlow / prioPower : 0;
assert.ok(
optEff >= prioEff * 0.95,
`Optimal efficiency should be ≥ priority (within 5% tolerance). ` +
`Opt: ${optFlow.toFixed(1)}/${optPower.toFixed(1)}=${optEff.toFixed(6)} | ` +
`Prio: ${prioFlow.toFixed(1)}/${prioPower.toFixed(1)}=${prioEff.toFixed(6)}`
);
});

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const test = require('node:test');
const assert = require('node:assert/strict');
const fs = require('node:fs');
const path = require('node:path');
const dir = path.resolve(__dirname, '../../examples');
function loadJson(file) {
return JSON.parse(fs.readFileSync(path.join(dir, file), 'utf8'));
}
test('examples package exists for machineGroupControl', () => {
for (const file of ['README.md', 'basic.flow.json', 'integration.flow.json', 'edge.flow.json']) {
assert.equal(fs.existsSync(path.join(dir, file)), true, file + ' missing');
}
});
test('example flows are parseable arrays for machineGroupControl', () => {
for (const file of ['basic.flow.json', 'integration.flow.json', 'edge.flow.json']) {
const parsed = loadJson(file);
assert.equal(Array.isArray(parsed), true);
}
});