forked from RnD/machineGroupControl
updates
This commit is contained in:
znetsixe
@@ -1,288 +1,345 @@
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// ...existing code...
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const MachineGroup = require('./specificClass.js');
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'use strict';
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const MachineGroup = require('./specificClass');
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const Machine = require('../../rotatingMachine/src/specificClass');
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const Measurement = require('../../measurement/src/specificClass');
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const specs = require('../../generalFunctions/datasets/assetData/curves/hidrostal-H05K-S03R.json');
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const baseCurve = require('../../generalFunctions/datasets/assetData/curves/hidrostal-H05K-S03R.json');
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const stateConfig = { time:{starting:0,warmingup:0,stopping:0,coolingdown:0}, movement:{speed:1000,mode:"staticspeed"} };
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const ptConfig = {
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general:{ logging:{enabled:false,logLevel:"warn"}, name:"testpt", id:"pt-1", unit:"mbar" },
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functionality:{ softwareType:"measurement", role:"sensor" },
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asset:{ category:"sensor", type:"pressure", model:"testmodel", supplier:"vega", unit:"mbar" },
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scaling:{ absMin:0, absMax:4000 }
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const CONTROL_MODES = ['optimalcontrol', 'prioritycontrol', 'prioritypercentagecontrol'];
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const MODE_LABELS = {
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optimalcontrol: 'OPT',
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prioritycontrol: 'PRIO',
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prioritypercentagecontrol: 'PERC'
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};
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const testSuite = [];
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const efficiencyComparisons = [];
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const stateConfig = {
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time: { starting: 0, warmingup: 0, stopping: 0, coolingdown: 0, emergencystop: 0 },
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movement: { speed: 1200, mode: 'staticspeed', maxSpeed: 1800 }
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};
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function logPass(name, details="") {
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const entry = { name, status:"PASS", details };
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testSuite.push(entry);
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console.log(`✅ ${name}${details ? ` — ${details}` : ""}`);
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}
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function logFail(name, error) {
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const entry = { name, status:"FAIL", details:error?.message || error };
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testSuite.push(entry);
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console.error(`❌ ${name} — ${entry.details}`);
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}
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function approxEqual(actual, expected, tolerancePct=1) {
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const tolerance = (expected * tolerancePct) / 100;
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return actual >= expected - tolerance && actual <= expected + tolerance;
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}
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async function sleep(ms){ return new Promise(resolve => setTimeout(resolve, ms)); }
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const ptConfig = {
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general: { logging: { enabled: false, logLevel: 'error' }, name: 'synthetic-pt', id: 'pt-1', unit: 'mbar' },
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functionality: {
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softwareType: 'measurement',
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role: 'sensor',
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positionVsParent: 'downstream'
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},
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asset: { category: 'sensor', type: 'pressure', model: 'synthetic-pt', supplier: 'lab', unit: 'mbar' },
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scaling: { absMin: 0, absMax: 4000 }
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};
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function createMachineConfig(id,label) {
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const scenarios = [
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{
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name: 'balanced_pair',
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description: 'Two identical pumps validate equal-machine behaviour.',
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machines: [
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{ id: 'eq-1', label: 'equal-A', curveMods: { flowScale: 1, powerScale: 1 } },
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{ id: 'eq-2', label: 'equal-B', curveMods: { flowScale: 1, powerScale: 1 } }
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],
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pressures: [900, 1300, 1700],
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flowTargetsPercent: [0.1, 0.4, 0.7, 1],
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flowMatchTolerance: 5,
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priorityList: ['eq-1', 'eq-2']
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},
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{
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name: 'mixed_trio',
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description: 'High / mid / low efficiency pumps to stress unequal-machine behaviour.',
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machines: [
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{ id: 'hi', label: 'high-eff', curveMods: { flowScale: 1.25, powerScale: 0.82, flowTilt: 0.1, powerTilt: -0.05 } },
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{ id: 'mid', label: 'mid-eff', curveMods: { flowScale: 1, powerScale: 1 } },
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{ id: 'low', label: 'low-eff', curveMods: { flowScale: 0.7, powerScale: 1.35, flowTilt: -0.08, powerTilt: 0.15 } }
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],
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pressures: [800, 1200, 1600, 2000],
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flowTargetsPercent: [0.1, 0.35, 0.7, 1],
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flowMatchTolerance: 8,
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priorityList: ['hi', 'mid', 'low']
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}
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];
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function createGroupConfig(name) {
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return {
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general:{ logging:{enabled:false,logLevel:"warn"}, name:label, id, unit:"m3/h" },
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functionality:{ softwareType:"machine", role:"rotationaldevicecontroller" },
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asset:{ category:"pump", type:"centrifugal", model:"hidrostal-h05k-s03r", supplier:"hydrostal", machineCurve:specs },
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mode:{
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current:"auto",
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allowedActions:{
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auto:["execSequence","execMovement","flowMovement","statusCheck"],
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virtualControl:["execMovement","statusCheck"],
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fysicalControl:["statusCheck"]
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general: { logging: { enabled: false, logLevel: 'error' }, name: `machinegroup-${name}` },
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functionality: { softwareType: 'machinegroup', role: 'groupcontroller' },
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scaling: { current: 'normalized' },
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mode: { current: 'optimalcontrol' }
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};
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}
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function sleep(ms) {
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return new Promise(resolve => setTimeout(resolve, ms));
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}
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async function setPressure(pt, value) {
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const retries = 6;
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for (let attempt = 0; attempt < retries; attempt += 1) {
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try {
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pt.calculateInput(value);
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return;
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} catch (error) {
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const message = error?.message || String(error);
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if (!message.toLowerCase().includes('coolprop is still warming up')) {
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throw error;
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}
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await sleep(50);
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}
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}
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throw new Error(`Unable to update pressure to ${value} mbar; CoolProp did not initialise in time.`);
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}
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function deepClone(obj) {
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return JSON.parse(JSON.stringify(obj));
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}
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function distortSeries(series = [], scale = 1, tilt = 0) {
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if (!Array.isArray(series) || series.length === 0) {
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return series;
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}
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const lastIndex = series.length - 1;
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return series.map((value, index) => {
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const gradient = lastIndex === 0 ? 0 : index / lastIndex - 0.5;
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const distorted = value * scale * (1 + tilt * gradient);
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return Number(Math.max(distorted, 0).toFixed(6));
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});
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}
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function createSyntheticCurve(mods = {}) {
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const { flowScale = 1, powerScale = 1, flowTilt = 0, powerTilt = 0 } = mods;
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const curve = deepClone(baseCurve);
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if (curve.nq) {
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Object.values(curve.nq).forEach(set => {
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set.y = distortSeries(set.y, flowScale, flowTilt);
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});
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}
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if (curve.np) {
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Object.values(curve.np).forEach(set => {
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set.y = distortSeries(set.y, powerScale, powerTilt);
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});
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}
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return curve;
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}
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function createMachineConfig(id, label) {
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return {
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general: { logging: { enabled: false, logLevel: 'error' }, name: label, id, unit: 'm3/h' },
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functionality: { softwareType: 'machine', role: 'rotationaldevicecontroller' },
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asset: { category: 'pump', type: 'centrifugal', model: 'hidrostal-h05k-s03r', supplier: 'hidrostal', machineCurve: baseCurve },
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mode: {
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current: 'auto',
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allowedActions: {
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auto: ['execsequence', 'execmovement', 'flowmovement', 'statuscheck'],
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virtualControl: ['execmovement', 'statuscheck'],
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fysicalControl: ['statuscheck']
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},
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allowedSources:{
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auto:["parent","GUI"],
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virtualControl:["GUI"],
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fysicalControl:["fysical"]
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allowedSources: {
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auto: ['parent', 'GUI'],
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virtualControl: ['GUI'],
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fysicalControl: ['fysical']
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}
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},
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sequences:{
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startup:["starting","warmingup","operational"],
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shutdown:["stopping","coolingdown","idle"],
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emergencystop:["emergencystop","off"],
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boot:["idle","starting","warmingup","operational"]
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sequences: {
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startup: ['starting', 'warmingup', 'operational'],
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shutdown: ['stopping', 'coolingdown', 'idle'],
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emergencystop: ['emergencystop', 'off'],
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boot: ['idle', 'starting', 'warmingup', 'operational']
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}
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};
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}
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async function bootstrapGroup() {
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const groupCfg = {
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general:{ logging:{enabled:false,logLevel:"warn"}, name:"testmachinegroup" },
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functionality:{ softwareType:"machinegroup", role:"groupcontroller" },
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scaling:{ current:"normalized" },
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mode:{ current:"optimalcontrol" }
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};
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const mg = new MachineGroup(groupCfg);
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async function bootstrapScenarioMachines(scenario) {
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const mg = new MachineGroup(createGroupConfig(scenario.name));
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const pt = new Measurement(ptConfig);
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for (let idx=1; idx<=2; idx++){
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const machine = new Machine(createMachineConfig(String(idx),`machine-${idx}`), stateConfig);
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mg.childRegistrationUtils.registerChild(machine,"downstream");
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machine.childRegistrationUtils.registerChild(pt,"downstream");
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for (const machineDef of scenario.machines) {
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const machine = new Machine(createMachineConfig(machineDef.id, machineDef.label), stateConfig);
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if (machineDef.curveMods) {
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machine.updateCurve(createSyntheticCurve(machineDef.curveMods));
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}
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mg.childRegistrationUtils.registerChild(machine, 'downstream');
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machine.childRegistrationUtils.registerChild(pt, 'downstream');
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}
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pt.calculateInput(1000);
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await sleep(10);
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await sleep(25);
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return { mg, pt };
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}
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function captureState(mg,label){
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return {
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label,
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machines: Object.entries(mg.machines).map(([id,machine]) => ({
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id,
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state: machine.state.getCurrentState(),
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position: machine.state.getCurrentPosition(),
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predictedFlow: machine.measurements.type("flow").variant("predicted").position("downstream").getCurrentValue() || 0,
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predictedPower: machine.measurements.type("power").variant("predicted").position("upstream").getCurrentValue() || 0
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})),
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totals: {
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flow: mg.measurements.type("flow").variant("predicted").position("downstream").getCurrentValue() || 0,
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power: mg.measurements.type("power").variant("predicted").position("upstream").getCurrentValue() || 0,
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efficiency: mg.measurements.type("efficiency").variant("predicted").position("downstream").getCurrentValue() || 0
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}
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};
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function captureTotals(mg) {
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const flow = mg.measurements.type('flow').variant('predicted').position('atequipment').getCurrentValue() || 0;
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const power = mg.measurements.type('power').variant('predicted').position('atequipment').getCurrentValue() || 0;
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const efficiency = mg.measurements.type('efficiency').variant('predicted').position('atequipment').getCurrentValue() || 0;
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return { flow, power, efficiency };
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}
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async function testNormalizedScaling(mg,pt){
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const label = "Normalized scaling tracks expected flow";
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try{
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mg.setScaling("normalized");
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const dynamic = mg.calcDynamicTotals();
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const checkpoints = [0,10,25,50,75,100];
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for (const demand of checkpoints){
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await mg.handleInput("parent", demand);
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pt.calculateInput(1400);
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await sleep(20);
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const totals = mg.measurements.type("flow").variant("predicted").position("downstream").getCurrentValue() || 0;
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const expected = dynamic.flow.min + (demand/100)*(dynamic.flow.max - dynamic.flow.min);
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if(!approxEqual(totals, expected, 2)){
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throw new Error(`Flow ${totals.toFixed(2)} outside expectation ${expected.toFixed(2)} @ ${demand}%`);
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}
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}
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logPass(label);
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}catch(err){ logFail(label, err); }
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function computeAbsoluteTargets(dynamicTotals, percentages) {
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const { flow } = dynamicTotals;
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const min = Number.isFinite(flow.min) ? flow.min : 0;
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const max = Number.isFinite(flow.max) ? flow.max : 0;
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const span = Math.max(max - min, 1);
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return percentages.map(percent => {
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const pct = Math.max(0, Math.min(1, percent));
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return min + pct * span;
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});
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}
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async function testAbsoluteScaling(mg,pt){
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const label = "Absolute scaling accepts direct flow targets";
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try{
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mg.setScaling("absolute");
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mg.setMode("optimalcontrol");
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const absMin = mg.dynamicTotals.flow.min;
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const absMax = mg.dynamicTotals.flow.max;
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const demandPoints = [absMin, absMin+20, (absMin+absMax)/2, absMax-20];
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async function driveModeToFlow({ mg, pt, mode, pressure, targetFlow, priorityOrder }) {
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await setPressure(pt, pressure);
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await sleep(15);
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for(const setpoint of demandPoints){
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await mg.handleInput("parent", setpoint);
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pt.calculateInput(1400);
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await sleep(20);
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const flow = mg.measurements.type("flow").variant("predicted").position("downstream").getCurrentValue() || 0;
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if(!approxEqual(flow, setpoint, 2)){
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throw new Error(`Flow ${flow.toFixed(2)} != demand ${setpoint.toFixed(2)}`);
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}
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mg.setMode(mode);
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mg.setScaling('normalized'); // required for prioritypercentagecontrol, works for others too
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const dynamic = mg.calcDynamicTotals();
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const span = Math.max(dynamic.flow.max - dynamic.flow.min, 1);
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const normalizedTarget = ((targetFlow - dynamic.flow.min) / span) * 100;
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let low = 0;
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let high = 100;
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let demand = Math.max(0, Math.min(100, normalizedTarget || 0));
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let best = { demand, flow: 0, power: 0, efficiency: 0, error: Infinity };
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for (let attempt = 0; attempt < 4; attempt += 1) {
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await mg.handleInput('parent', demand, Infinity, priorityOrder);
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await sleep(30);
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const totals = captureTotals(mg);
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const error = Math.abs(totals.flow - targetFlow);
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if (error < best.error) {
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best = {
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demand,
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flow: totals.flow,
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power: totals.power,
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efficiency: totals.efficiency,
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error
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};
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}
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logPass(label);
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}catch(err){ logFail(label, err); }
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if (totals.flow > targetFlow) {
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high = demand;
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} else {
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low = demand;
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}
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demand = (low + high) / 2;
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}
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return best;
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}
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async function testModeTransitions(mg,pt){
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const label = "Mode transitions keep machines responsive";
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try{
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const modes = ["optimalcontrol","prioritycontrol","prioritypercentagecontrol"];
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mg.setScaling("normalized");
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for(const mode of modes){
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mg.setMode(mode);
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await mg.handleInput("parent", 50);
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pt.calculateInput(1300);
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await sleep(20);
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const snapshot = captureState(mg, mode);
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const active = snapshot.machines.filter(m => m.state !== "idle");
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if(active.length === 0){
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throw new Error(`No active machines after switching to ${mode}`);
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}
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}
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logPass(label);
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}catch(err){ logFail(label, err); }
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function formatEfficiencyRows(rows) {
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return rows.map(row => {
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const optimal = row.modes.optimalcontrol;
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const priority = row.modes.prioritycontrol;
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const percentage = row.modes.prioritypercentagecontrol;
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return {
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pressure: row.pressure,
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targetFlow: Number(row.targetFlow.toFixed(1)),
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[`${MODE_LABELS.optimalcontrol}_Flow`]: Number(optimal.flow.toFixed(1)),
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[`${MODE_LABELS.optimalcontrol}_Eff`]: Number(optimal.efficiency.toFixed(3)),
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[`${MODE_LABELS.prioritycontrol}_Flow`]: Number(priority.flow.toFixed(1)),
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[`${MODE_LABELS.prioritycontrol}_Eff`]: Number(priority.efficiency.toFixed(3)),
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[`Δ${MODE_LABELS.prioritycontrol}-OPT_Eff`]: Number(
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(priority.efficiency - optimal.efficiency).toFixed(3)
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),
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[`${MODE_LABELS.prioritypercentagecontrol}_Flow`]: Number(percentage.flow.toFixed(1)),
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[`${MODE_LABELS.prioritypercentagecontrol}_Eff`]: Number(percentage.efficiency.toFixed(3)),
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[`Δ${MODE_LABELS.prioritypercentagecontrol}-OPT_Eff`]: Number(
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(percentage.efficiency - optimal.efficiency).toFixed(3)
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)
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};
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});
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}
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async function testRampBehaviour(mg,pt){
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const label = "Ramp up/down keeps monotonic flow";
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try{
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mg.setMode("optimalcontrol");
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mg.setScaling("normalized");
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const upDemands = [0,20,40,60,80,100];
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let lastFlow = 0;
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for(const demand of upDemands){
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await mg.handleInput("parent", demand);
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pt.calculateInput(1500);
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await sleep(15);
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const flow = mg.measurements.type("flow").variant("predicted").position("downstream").getCurrentValue() || 0;
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if(flow < lastFlow - 1){
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throw new Error(`Flow decreased during ramp up: ${flow.toFixed(2)} < ${lastFlow.toFixed(2)}`);
|
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}
|
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lastFlow = flow;
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}
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const downDemands = [100,80,60,40,20,0];
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lastFlow = Infinity;
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for(const demand of downDemands){
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await mg.handleInput("parent", demand);
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pt.calculateInput(1200);
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await sleep(15);
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const flow = mg.measurements.type("flow").variant("predicted").position("downstream").getCurrentValue() || 0;
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if(flow > lastFlow + 1){
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throw new Error(`Flow increased during ramp down: ${flow.toFixed(2)} > ${lastFlow.toFixed(2)}`);
|
||||
}
|
||||
lastFlow = flow;
|
||||
}
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logPass(label);
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}catch(err){ logFail(label, err); }
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||||
}
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||||
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||||
async function testPressureAdaptation(mg,pt){
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||||
const label = "Pressure changes update predictions";
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||||
try{
|
||||
mg.setMode("optimalcontrol");
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||||
mg.setScaling("normalized");
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||||
const pressures = [800,1200,1600,2000];
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||||
let previousFlow = null;
|
||||
for(const p of pressures){
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||||
pt.calculateInput(p);
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await mg.handleInput("parent", 50);
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||||
await sleep(20);
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const flow = mg.measurements.type("flow").variant("predicted").position("downstream").getCurrentValue() || 0;
|
||||
if(previousFlow !== null && Math.abs(flow - previousFlow) < 0.5){
|
||||
throw new Error(`Flow did not react to pressure shift (${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}-${demand}`).totals;
|
||||
|
||||
efficiencyComparisons.push({
|
||||
pressure,
|
||||
demandPercent: demand,
|
||||
optimalFlow: Number(optimalTotals.flow.toFixed(3)),
|
||||
optimalPower: Number(optimalTotals.power.toFixed(3)),
|
||||
optimalEfficiency: Number((optimalTotals.efficiency || 0).toFixed(4)),
|
||||
priorityFlow: Number(priorityTotals.flow.toFixed(3)),
|
||||
priorityPower: Number(priorityTotals.power.toFixed(3)),
|
||||
priorityEfficiency: Number((priorityTotals.efficiency || 0).toFixed(4)),
|
||||
efficiencyDelta: Number(((priorityTotals.efficiency || 0) - (optimalTotals.efficiency || 0)).toFixed(4)),
|
||||
powerDelta: Number((priorityTotals.power - optimalTotals.power).toFixed(3))
|
||||
function summarizeEfficiency(rows) {
|
||||
const map = new Map();
|
||||
rows.forEach(row => {
|
||||
CONTROL_MODES.forEach(mode => {
|
||||
const key = `${row.scenario}-${mode}`;
|
||||
if (!map.has(key)) {
|
||||
map.set(key, {
|
||||
scenario: row.scenario,
|
||||
mode,
|
||||
samples: 0,
|
||||
avgFlowDiff: 0,
|
||||
avgEfficiency: 0
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
logPass(label, "efficiencyComparisons array populated");
|
||||
} catch (err) {
|
||||
logFail(label, err);
|
||||
}
|
||||
const bucket = map.get(key);
|
||||
const stats = row.modes[mode];
|
||||
bucket.samples += 1;
|
||||
bucket.avgFlowDiff += Math.abs(stats.flow - row.targetFlow);
|
||||
bucket.avgEfficiency += stats.efficiency || 0;
|
||||
});
|
||||
});
|
||||
return Array.from(map.values()).map(item => ({
|
||||
scenario: item.scenario,
|
||||
mode: item.mode,
|
||||
samples: item.samples,
|
||||
avgFlowDiff: Number((item.avgFlowDiff / item.samples).toFixed(2)),
|
||||
avgEfficiency: Number((item.avgEfficiency / item.samples).toFixed(3))
|
||||
}));
|
||||
}
|
||||
|
||||
async function evaluateScenario(scenario) {
|
||||
console.log(`\nRunning scenario "${scenario.name}": ${scenario.description}`);
|
||||
const { mg, pt } = await bootstrapScenarioMachines(scenario);
|
||||
const priorityOrder =
|
||||
scenario.priorityList && scenario.priorityList.length
|
||||
? scenario.priorityList
|
||||
: scenario.machines.map(machine => machine.id);
|
||||
|
||||
async function run(){
|
||||
console.log("🚀 Starting machine-group integration tests...");
|
||||
const { mg, pt } = await bootstrapGroup();
|
||||
const rows = [];
|
||||
|
||||
await testNormalizedScaling(mg, pt);
|
||||
await testAbsoluteScaling(mg, pt);
|
||||
await testModeTransitions(mg, pt);
|
||||
await testRampBehaviour(mg, pt);
|
||||
await testPressureAdaptation(mg, pt);
|
||||
await comparePriorityVsOptimal(mg, pt);
|
||||
for (const pressure of scenario.pressures) {
|
||||
await setPressure(pt, pressure);
|
||||
await sleep(20);
|
||||
|
||||
console.log("\n📋 TEST SUMMARY");
|
||||
console.table(testSuite);
|
||||
console.log("\n📊 efficiencyComparisons:");
|
||||
console.dir(efficiencyComparisons, { depth:null });
|
||||
console.log("✅ All tests completed.");
|
||||
const dynamicTotals = mg.calcDynamicTotals();
|
||||
const targets = computeAbsoluteTargets(dynamicTotals, scenario.flowTargetsPercent || [0, 0.5, 1]);
|
||||
|
||||
for (let idx = 0; idx < targets.length; idx += 1) {
|
||||
const targetFlow = targets[idx];
|
||||
const row = {
|
||||
scenario: scenario.name,
|
||||
pressure,
|
||||
targetFlow,
|
||||
modes: {}
|
||||
};
|
||||
|
||||
for (const mode of CONTROL_MODES) {
|
||||
const stats = await driveModeToFlow({
|
||||
mg,
|
||||
pt,
|
||||
mode,
|
||||
pressure,
|
||||
targetFlow,
|
||||
priorityOrder
|
||||
});
|
||||
row.modes[mode] = stats;
|
||||
}
|
||||
|
||||
rows.push(row);
|
||||
}
|
||||
}
|
||||
|
||||
console.log(`Efficiency comparison table for scenario "${scenario.name}":`);
|
||||
console.table(formatEfficiencyRows(rows));
|
||||
|
||||
return { rows };
|
||||
}
|
||||
|
||||
async function run() {
|
||||
const combinedRows = [];
|
||||
|
||||
for (const scenario of scenarios) {
|
||||
const { rows } = await evaluateScenario(scenario);
|
||||
combinedRows.push(...rows);
|
||||
}
|
||||
|
||||
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();
|
||||
@@ -411,10 +411,8 @@ class MachineGroup {
|
||||
return { bestCombination, bestPower, bestFlow, bestCog };
|
||||
}
|
||||
|
||||
/**
|
||||
* Estimate the local dP/dQ slopes around the BEP for the provided machine.
|
||||
* A gentle +/- delta perturbation is used to keep calling code self-contained.
|
||||
*/
|
||||
|
||||
// Estimate the local dP/dQ slopes around the BEP for the provided machine.
|
||||
estimateSlopesAtBEP(machine, Q_BEP, delta = 1.0) {
|
||||
const fallback = {
|
||||
slopeLeft: 0,
|
||||
@@ -424,65 +422,48 @@ class MachineGroup {
|
||||
P_BEP: 0
|
||||
};
|
||||
|
||||
try {
|
||||
if (!machine || !machine.hasCurve || !machine.predictFlow) {
|
||||
this.logger.warn(`estimateSlopesAtBEP: invalid machine input provided.`);
|
||||
return fallback;
|
||||
}
|
||||
const minFlow = machine.predictFlow.currentFxyYMin;
|
||||
const maxFlow = machine.predictFlow.currentFxyYMax;
|
||||
const span = Math.max(0, maxFlow - minFlow);
|
||||
const normalizedCog = Math.max(0, Math.min(1, machine.NCog || 0));
|
||||
const targetBEP = Q_BEP ?? (minFlow + span * normalizedCog);
|
||||
const clampFlow = (flow) => Math.min(maxFlow, Math.max(minFlow, flow)); // ensure within bounds using small helper function
|
||||
const center = clampFlow(targetBEP);
|
||||
const deltaSafe = Math.max(delta, 0.01);
|
||||
const leftFlow = clampFlow(center - deltaSafe);
|
||||
const rightFlow = clampFlow(center + deltaSafe);
|
||||
const powerAt = (flow) => machine.inputFlowCalcPower(flow); // helper to get power at a given flow
|
||||
const P_center = powerAt(center);
|
||||
const P_left = powerAt(leftFlow);
|
||||
const P_right = powerAt(rightFlow);
|
||||
const slopeLeft = (P_center - P_left) / Math.max(1e-6, center - leftFlow);
|
||||
const slopeRight = (P_right - P_center) / Math.max(1e-6, rightFlow - center);
|
||||
const alpha = Math.max(1e-6, (Math.abs(slopeLeft) + Math.abs(slopeRight)) / 2);
|
||||
|
||||
const minFlow = machine.predictFlow.currentFxyYMin;
|
||||
const maxFlow = machine.predictFlow.currentFxyYMax;
|
||||
const span = Math.max(0, maxFlow - minFlow);
|
||||
const normalizedCog = Math.max(0, Math.min(1, machine.NCog || 0));
|
||||
const targetBEP = Q_BEP ?? (minFlow + span * normalizedCog);
|
||||
const clampFlow = (flow) => Math.min(maxFlow, Math.max(minFlow, flow));
|
||||
const center = clampFlow(targetBEP);
|
||||
const deltaSafe = Math.max(delta, 0.01);
|
||||
const leftFlow = clampFlow(center - deltaSafe);
|
||||
const rightFlow = clampFlow(center + deltaSafe);
|
||||
const powerAt = (flow) => {
|
||||
try {
|
||||
return machine.inputFlowCalcPower(flow);
|
||||
} catch (error) {
|
||||
this.logger.warn(`estimateSlopesAtBEP: failed power calc for ${machine.config?.general?.id}: ${error.message}`);
|
||||
return 0;
|
||||
}
|
||||
};
|
||||
return {
|
||||
slopeLeft,
|
||||
slopeRight,
|
||||
alpha,
|
||||
Q_BEP: center,
|
||||
P_BEP: P_center
|
||||
};
|
||||
|
||||
const P_center = powerAt(center);
|
||||
const P_left = powerAt(leftFlow);
|
||||
const P_right = powerAt(rightFlow);
|
||||
const slopeLeft = (P_center - P_left) / Math.max(1e-6, center - leftFlow);
|
||||
const slopeRight = (P_right - P_center) / Math.max(1e-6, rightFlow - center);
|
||||
const alpha = Math.max(1e-6, (Math.abs(slopeLeft) + Math.abs(slopeRight)) / 2);
|
||||
|
||||
return {
|
||||
slopeLeft,
|
||||
slopeRight,
|
||||
alpha,
|
||||
Q_BEP: center,
|
||||
P_BEP: P_center
|
||||
};
|
||||
} catch (err) {
|
||||
this.logger.warn(`estimateSlopesAtBEP failed: ${err.message}`);
|
||||
return fallback;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Redistribute remaining demand using slope-based weights so flatter curves attract more flow.
|
||||
*/
|
||||
//Redistribute remaining demand using slope-based weights so flatter curves attract more flow.
|
||||
redistributeFlowBySlope(pumpInfos, flowDistribution, delta, directional = true) {
|
||||
const tolerance = 1e-3;
|
||||
let remaining = delta;
|
||||
const entryMap = new Map(flowDistribution.map(entry => [entry.machineId, entry]));
|
||||
const tolerance = 1e-3; // Small tolerance to avoid infinite loops
|
||||
let remaining = delta; // Remaining flow to distribute
|
||||
const entryMap = new Map(flowDistribution.map(entry => [entry.machineId, entry])); // Map for quick access
|
||||
|
||||
// Loop until remaining flow is within tolerance
|
||||
while (Math.abs(remaining) > tolerance) {
|
||||
const increasing = remaining > 0;
|
||||
const increasing = remaining > 0; // Determine if we are increasing or decreasing flow
|
||||
// Build candidates with capacity and weight
|
||||
const candidates = pumpInfos.map(info => {
|
||||
const entry = entryMap.get(info.id);
|
||||
if (!entry) { return null; }
|
||||
const capacity = increasing ? info.maxFlow - entry.flow : entry.flow - info.minFlow;
|
||||
const capacity = increasing ? info.maxFlow - entry.flow : entry.flow - info.minFlow; // Calculate available capacity based on direction
|
||||
if (capacity <= tolerance) { return null; }
|
||||
|
||||
const slope = increasing
|
||||
@@ -493,32 +474,31 @@ class MachineGroup {
|
||||
return { entry, capacity, weight };
|
||||
}).filter(Boolean);
|
||||
|
||||
if (!candidates.length) { break; }
|
||||
if (!candidates.length) { break; } // No candidates available, exit loop
|
||||
|
||||
const weightSum = candidates.reduce((sum, candidate) => sum + candidate.weight * candidate.capacity, 0);
|
||||
if (weightSum <= 0) { break; }
|
||||
const weightSum = candidates.reduce((sum, candidate) => sum + candidate.weight * candidate.capacity, 0); // weighted sum of capacities
|
||||
if (weightSum <= 0) { break; } // Avoid division by zero
|
||||
|
||||
let progress = 0;
|
||||
// Distribute remaining flow among candidates based on their weights and capacities
|
||||
candidates.forEach(candidate => {
|
||||
let share = (candidate.weight * candidate.capacity / weightSum) * Math.abs(remaining);
|
||||
share = Math.min(share, candidate.capacity);
|
||||
if (share <= 0) { return; }
|
||||
share = Math.min(share, candidate.capacity); // Ensure we don't exceed capacity
|
||||
if (share <= 0) { return; } // Skip if no share to allocate
|
||||
if (increasing) {
|
||||
candidate.entry.flow += share;
|
||||
} else {
|
||||
candidate.entry.flow -= share;
|
||||
}
|
||||
progress += share;
|
||||
progress += share; // Track total progress made in this iteration
|
||||
});
|
||||
|
||||
if (progress <= tolerance) { break; }
|
||||
remaining += increasing ? -progress : progress;
|
||||
remaining += increasing ? -progress : progress; // Update remaining flow to distribute
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* BEP-gravitation based combination finder that biases allocation around each pump's BEP.
|
||||
*/
|
||||
// BEP-gravitation based combination finder that biases allocation around each pump's BEP.
|
||||
calcBestCombinationBEPGravitation(combinations, Qd, method = "BEP-Gravitation-Directional") {
|
||||
let bestCombination = null;
|
||||
let bestPower = Infinity;
|
||||
@@ -534,7 +514,7 @@ class MachineGroup {
|
||||
const maxFlow = machine.predictFlow.currentFxyYMax;
|
||||
const span = Math.max(0, maxFlow - minFlow);
|
||||
const NCog = Math.max(0, Math.min(1, machine.NCog || 0));
|
||||
const estimatedBEP = minFlow + span * NCog;
|
||||
const estimatedBEP = minFlow + span * NCog; // Estimated BEP flow based on current curve
|
||||
const slopes = this.estimateSlopesAtBEP(machine, estimatedBEP);
|
||||
return {
|
||||
id: machineId,
|
||||
@@ -547,15 +527,17 @@ class MachineGroup {
|
||||
};
|
||||
});
|
||||
|
||||
// Skip if no pumps in combination
|
||||
if (pumpInfos.length === 0) { return; }
|
||||
|
||||
// Start at BEP flows
|
||||
const flowDistribution = pumpInfos.map(info => ({
|
||||
machineId: info.id,
|
||||
flow: Math.min(info.maxFlow, Math.max(info.minFlow, info.Q_BEP))
|
||||
}));
|
||||
|
||||
let totalFlow = flowDistribution.reduce((sum, entry) => sum + entry.flow, 0);
|
||||
const delta = Qd - totalFlow;
|
||||
let totalFlow = flowDistribution.reduce((sum, entry) => sum + entry.flow, 0); // Initial total flow
|
||||
const delta = Qd - totalFlow; // Difference to target demand
|
||||
if (Math.abs(delta) > 1e-6) {
|
||||
this.redistributeFlowBySlope(pumpInfos, flowDistribution, delta, directional);
|
||||
}
|
||||
@@ -1225,8 +1207,8 @@ class MachineGroup {
|
||||
}
|
||||
|
||||
module.exports = MachineGroup;
|
||||
|
||||
/*
|
||||
const {coolprop} = require('generalFunctions');
|
||||
const Machine = require('../../rotatingMachine/src/specificClass');
|
||||
const Measurement = require('../../measurement/src/specificClass');
|
||||
const specs = require('../../generalFunctions/datasets/assetData/curves/hidrostal-H05K-S03R.json');
|
||||
|
||||
Reference in New Issue
Block a user