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23
CLAUDE.md
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23
CLAUDE.md
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@@ -0,0 +1,23 @@
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# machineGroupControl — Claude Code context
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Coordinates multiple rotatingMachine or valve children.
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Part of the [EVOLV](https://gitea.wbd-rd.nl/RnD/EVOLV) wastewater-automation platform.
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## S88 classification
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| Level | Colour | Placement lane |
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|---|---|---|
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| **Unit** | `#50a8d9` | L4 |
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## Flow layout rules
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When wiring this node into a multi-node demo or production flow, follow the
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placement rule set in the **EVOLV superproject**:
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> `.claude/rules/node-red-flow-layout.md` (in the EVOLV repo root)
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Key points for this node:
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- Place on lane **L4** (x-position per the lane table in the rule).
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- Stack same-level siblings vertically.
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- Parent/children sit on adjacent lanes (children one lane left, parent one lane right).
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- Wrap in a Node-RED group box coloured `#50a8d9` (Unit).
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20
mgc.html
20
mgc.html
@@ -18,6 +18,8 @@
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defaults: {
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// Define default properties
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name: { value: "" },
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processOutputFormat: { value: "process" },
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dbaseOutputFormat: { value: "influxdb" },
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// Logger properties
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enableLog: { value: false },
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@@ -74,6 +76,24 @@
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<script type="text/html" data-template-name="machineGroupControl">
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<h3>Output Formats</h3>
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<div class="form-row">
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<label for="node-input-processOutputFormat"><i class="fa fa-random"></i> Process Output</label>
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<select id="node-input-processOutputFormat" style="width:60%;">
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<option value="process">process</option>
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<option value="json">json</option>
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<option value="csv">csv</option>
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</select>
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</div>
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<div class="form-row">
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<label for="node-input-dbaseOutputFormat"><i class="fa fa-database"></i> Database Output</label>
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<select id="node-input-dbaseOutputFormat" style="width:60%;">
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<option value="influxdb">influxdb</option>
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<option value="json">json</option>
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<option value="csv">csv</option>
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</select>
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</div>
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<!-- Logger fields injected here -->
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<div id="logger-fields-placeholder"></div>
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@@ -39,21 +39,9 @@ class nodeClass {
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this.defaultConfig = cfgMgr.getConfig(this.name);
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const flowUnit = this._resolveUnitOrFallback(uiConfig.unit, 'volumeFlowRate', 'm3/h', 'flow');
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// Merge UI config over defaults
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this.config = {
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general: {
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name: uiConfig.name,
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id: node.id, // node.id is for the child registration process
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unit: flowUnit,
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logging: {
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enabled: uiConfig.enableLog,
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logLevel: uiConfig.logLevel,
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},
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},
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functionality: {
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positionVsParent: uiConfig.positionVsParent || "atEquipment", // Default to 'atEquipment' if not set
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},
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};
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// Build config: base sections (no domain-specific config for group controller)
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this.config = cfgMgr.buildConfig(this.name, uiConfig, node.id);
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// Utility for formatting outputs
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this._output = new outputUtils();
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}
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@@ -81,14 +69,14 @@ class nodeClass {
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const mg = this.source;
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const mode = mg.mode;
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const scaling = mg.scaling;
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// Add safety checks for measurements
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const totalFlow = mg.measurements
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?.type("flow")
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?.variant("predicted")
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?.position("atequipment")
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?.getCurrentValue(mg?.unitPolicy?.output?.flow || 'm3/h') || 0;
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const totalPower = mg.measurements
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?.type("power")
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?.variant("predicted")
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@@ -102,7 +90,7 @@ class nodeClass {
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mg.logger?.warn(`Machine missing or invalid: ${machine?.config?.general?.id || 'unknown'}`);
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return false;
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}
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const state = machine.state.getCurrentState();
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const mode = machine.currentMode;
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return !(
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@@ -225,15 +213,27 @@ class nodeClass {
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mg.logger.warn(`registerChild skipped: missing child/source for id=${childId}`);
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break;
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}
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mg.logger.debug(`Registering child: ${childId}, found: ${!!childObj}, source: ${!!childObj?.source}`);
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mg.childRegistrationUtils.registerChild(childObj.source, msg.positionVsParent);
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mg.logger.debug(`Total machines after registration: ${Object.keys(mg.machines || {}).length}`);
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break;
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}
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case "setMode":
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mg.setMode(msg.payload);
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case "setMode": {
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const mode = msg.payload;
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mg.setMode(mode);
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break;
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case "setScaling":
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mg.setScaling(msg.payload);
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}
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case "setScaling": {
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const scaling = msg.payload;
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mg.setScaling(scaling);
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break;
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}
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case "Qd": {
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const Qd = parseFloat(msg.payload);
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const sourceQd = "parent";
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@@ -251,6 +251,7 @@ class nodeClass {
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}
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break;
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}
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default:
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mg.logger.warn(`Unknown topic: ${msg.topic}`);
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break;
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@@ -1,6 +1,6 @@
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//load local dependencies
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const EventEmitter = require("events");
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const {logger,configUtils,configManager, MeasurementContainer, interpolation , childRegistrationUtils, convert} = require('generalFunctions');
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const {logger,configUtils,configManager, MeasurementContainer, interpolation , childRegistrationUtils, convert, POSITIONS} = require('generalFunctions');
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const CANONICAL_UNITS = Object.freeze({
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pressure: 'Pa',
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@@ -37,7 +37,7 @@ class MachineGroup {
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// Init after config is set
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this.logger = new logger(this.config.general.logging.enabled,this.config.general.logging.logLevel, this.config.general.name);
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// Initialize measurements
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this.measurements = new MeasurementContainer({
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autoConvert: true,
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@@ -87,11 +87,11 @@ class MachineGroup {
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// Prefer functionality-scoped position metadata; keep general fallback for legacy nodes.
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const position = child.config?.functionality?.positionVsParent || child.config?.general?.positionVsParent;
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if(softwareType == "machine"){
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// Check if the machine is already registered
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this.machines[child.config.general.id] === undefined ? this.machines[child.config.general.id] = child : this.logger.warn(`Machine ${child.config.general.id} is already registered.`);
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//listen for machine pressure changes
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this.logger.debug(`Listening for pressure changes from machine ${child.config.general.id}`);
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@@ -119,11 +119,11 @@ class MachineGroup {
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calcAbsoluteTotals() {
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const absoluteTotals = { flow: { min: Infinity, max: 0 }, power: { min: Infinity, max: 0 } };
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Object.values(this.machines).forEach(machine => {
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const totals = { flow: { min: Infinity, max: 0 }, power: { min: Infinity, max: 0 } };
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//fetch min flow ever seen over all machines
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Object.entries(machine.predictFlow.inputCurve).forEach(([pressure, xyCurve], index) => {
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Object.entries(machine.predictFlow.inputCurve).forEach(([pressure, xyCurve], _index) => {
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const minFlow = Math.min(...xyCurve.y);
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const maxFlow = Math.max(...xyCurve.y);
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@@ -143,27 +143,27 @@ class MachineGroup {
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if( totals.power.min < absoluteTotals.power.min ){ absoluteTotals.power.min = totals.power.min; }
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absoluteTotals.flow.max += totals.flow.max;
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absoluteTotals.power.max += totals.power.max;
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});
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if(absoluteTotals.flow.min === Infinity) {
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if(absoluteTotals.flow.min === Infinity) {
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this.logger.warn(`Flow min ${absoluteTotals.flow.min} is Infinity. Setting to 0.`);
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absoluteTotals.flow.min = 0;
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}
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if(absoluteTotals.power.min === Infinity) {
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if(absoluteTotals.power.min === Infinity) {
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this.logger.warn(`Power min ${absoluteTotals.power.min} is Infinity. Setting to 0.`);
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absoluteTotals.power.min = 0;
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absoluteTotals.power.min = 0;
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}
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if(absoluteTotals.flow.max === -Infinity) {
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if(absoluteTotals.flow.max === -Infinity) {
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this.logger.warn(`Flow max ${absoluteTotals.flow.max} is -Infinity. Setting to 0.`);
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absoluteTotals.flow.max = 0;
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absoluteTotals.flow.max = 0;
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}
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if(absoluteTotals.power.max === -Infinity) {
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if(absoluteTotals.power.max === -Infinity) {
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this.logger.warn(`Power max ${absoluteTotals.power.max} is -Infinity. Setting to 0.`);
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absoluteTotals.power.max = 0;
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absoluteTotals.power.max = 0;
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}
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// Place data in object for external use
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@@ -173,13 +173,13 @@ class MachineGroup {
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}
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//max and min current flow and power based on their actual pressure curve
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//max and min current flow and power based on their actual pressure curve
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calcDynamicTotals() {
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const dynamicTotals = { flow: { min: Infinity, max: 0, act: 0 }, power: { min: Infinity, max: 0, act: 0 }, NCog : 0 };
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this.logger.debug(`\n --------- Calculating dynamic totals for ${Object.keys(this.machines).length} machines. @ current pressure settings : ----------`);
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Object.values(this.machines).forEach(machine => {
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//skip machines without valid curve
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if(!machine.hasCurve){
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@@ -191,13 +191,13 @@ class MachineGroup {
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this.logger.debug(`Current pressure settings: ${JSON.stringify(machine.predictFlow.currentF)}`);
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//fetch min flow ever seen over all machines
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const minFlow = machine.predictFlow.currentFxyYMin;
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const minFlow = machine.predictFlow.currentFxyYMin;
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const maxFlow = machine.predictFlow.currentFxyYMax;
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const minPower = machine.predictPower.currentFxyYMin;
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const maxPower = machine.predictPower.currentFxyYMax;
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const actFlow = this._readChildMeasurement(machine, "flow", "predicted", "atequipment", this.unitPolicy.canonical.flow) || 0;
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const actPower = this._readChildMeasurement(machine, "power", "predicted", "atequipment", this.unitPolicy.canonical.power) || 0;
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const actFlow = this._readChildMeasurement(machine, "flow", "predicted", POSITIONS.DOWNSTREAM, this.unitPolicy.canonical.flow) || 0;
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const actPower = this._readChildMeasurement(machine, "power", "predicted", POSITIONS.AT_EQUIPMENT, this.unitPolicy.canonical.power) || 0;
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this.logger.debug(`Machine ${machine.config.general.id} - Min Flow: ${minFlow}, Max Flow: ${maxFlow}, Min Power: ${minPower}, Max Power: ${maxPower}, NCog: ${machine.NCog}`);
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@@ -211,7 +211,7 @@ class MachineGroup {
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//fetch total Normalized Cog over all machines
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dynamicTotals.NCog += machine.NCog;
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});
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// Place data in object for external use
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@@ -227,19 +227,19 @@ class MachineGroup {
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this.logger.debug(`Processing machine with id: ${id}`);
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if(this.isMachineActive(id)){
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//fetch min flow ever seen over all machines
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const minFlow = machine.predictFlow.currentFxyYMin;
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const minFlow = machine.predictFlow.currentFxyYMin;
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const maxFlow = machine.predictFlow.currentFxyYMax;
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const minPower = machine.predictPower.currentFxyYMin;
|
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const maxPower = machine.predictPower.currentFxyYMax;
|
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|
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|
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|
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totals.flow.min += minFlow;
|
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totals.flow.max += maxFlow;
|
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totals.power.min += minPower;
|
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totals.power.max += maxPower;
|
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totals.countActiveMachines++;
|
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}
|
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|
||||
|
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});
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|
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return totals;
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@@ -251,11 +251,11 @@ class MachineGroup {
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const { flow, power } = this.calcDynamicTotals();
|
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|
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this.logger.debug(`Dynamic Totals after pressure change - Flow: Min ${flow.min}, Max ${flow.max}, Act ${flow.act} | Power: Min ${power.min}, Max ${power.max}, Act ${power.act}`);
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this._writeMeasurement("flow", "predicted", "atequipment", flow.act, this.unitPolicy.canonical.flow);
|
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this._writeMeasurement("power", "predicted", "atequipment", power.act, this.unitPolicy.canonical.power);
|
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this._writeMeasurement("flow", "predicted", POSITIONS.AT_EQUIPMENT, flow.act, this.unitPolicy.canonical.flow);
|
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this._writeMeasurement("power", "predicted", POSITIONS.AT_EQUIPMENT, power.act, this.unitPolicy.canonical.power);
|
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|
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const { maxEfficiency, lowestEfficiency } = this.calcGroupEfficiency(this.machines);
|
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const efficiency = this.measurements.type("efficiency").variant("predicted").position("atequipment").getCurrentValue();
|
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const efficiency = this.measurements.type("efficiency").variant("predicted").position(POSITIONS.AT_EQUIPMENT).getCurrentValue();
|
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this.calcDistanceBEP(efficiency,maxEfficiency,lowestEfficiency);
|
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}
|
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@@ -265,7 +265,7 @@ class MachineGroup {
|
||||
|
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calcRelativeDistanceFromPeak(currentEfficiency,maxEfficiency,minEfficiency){
|
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let distance = 1;
|
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if(currentEfficiency != null){
|
||||
if(currentEfficiency != null && maxEfficiency !== minEfficiency){
|
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distance = this.interpolation.interpolate_lin_single_point(currentEfficiency,maxEfficiency, minEfficiency, 0, 1);
|
||||
}
|
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return distance;
|
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@@ -274,11 +274,11 @@ class MachineGroup {
|
||||
calcDistanceBEP(efficiency,maxEfficiency,minEfficiency){
|
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const absDistFromPeak = this.calcDistanceFromPeak(efficiency,maxEfficiency);
|
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const relDistFromPeak = this.calcRelativeDistanceFromPeak(efficiency,maxEfficiency,minEfficiency);
|
||||
|
||||
|
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//store internally
|
||||
this.absDistFromPeak = absDistFromPeak ;
|
||||
this.relDistFromPeak = relDistFromPeak;
|
||||
|
||||
|
||||
return { absDistFromPeak: absDistFromPeak, relDistFromPeak: relDistFromPeak };
|
||||
}
|
||||
|
||||
@@ -287,15 +287,15 @@ class MachineGroup {
|
||||
|
||||
const state = machine.state.getCurrentState();
|
||||
const mode = machine.currentMode;
|
||||
|
||||
//add special cases
|
||||
|
||||
//add special cases
|
||||
if( state === "operational" && ( mode == "virtualControl" || mode === "fysicalControl") ){
|
||||
let flow = 0;
|
||||
const measuredFlow = this._readChildMeasurement(machine, "flow", "measured", "downstream", this.unitPolicy.canonical.flow);
|
||||
const predictedFlow = this._readChildMeasurement(machine, "flow", "predicted", "atequipment", this.unitPolicy.canonical.flow);
|
||||
const measuredFlow = this._readChildMeasurement(machine, "flow", "measured", POSITIONS.DOWNSTREAM, this.unitPolicy.canonical.flow);
|
||||
const predictedFlow = this._readChildMeasurement(machine, "flow", "predicted", POSITIONS.DOWNSTREAM, this.unitPolicy.canonical.flow);
|
||||
if (Number.isFinite(measuredFlow) && measuredFlow !== 0) {
|
||||
flow = measuredFlow;
|
||||
}
|
||||
}
|
||||
else if (Number.isFinite(predictedFlow) && predictedFlow !== 0) {
|
||||
flow = predictedFlow;
|
||||
}
|
||||
@@ -304,7 +304,7 @@ class MachineGroup {
|
||||
//abort the calculation
|
||||
return false;
|
||||
}
|
||||
|
||||
|
||||
//Qd is less because we allready have machines delivering flow on manual control
|
||||
Qd = Qd - flow;
|
||||
}
|
||||
@@ -317,28 +317,28 @@ class MachineGroup {
|
||||
|
||||
// adjust demand flow when there are machines being controlled by a manual source
|
||||
Qd = this.checkSpecialCases(machines, Qd);
|
||||
|
||||
|
||||
// Generate all possible subsets of machines (power set)
|
||||
Object.keys(machines).forEach(machineId => {
|
||||
|
||||
|
||||
const state = machines[machineId].state.getCurrentState();
|
||||
const validActionForMode = machines[machineId].isValidActionForMode("execsequence", "auto");
|
||||
|
||||
|
||||
|
||||
// Reasons why a machine is not valid for the combination
|
||||
if( state === "off" || state === "coolingdown" || state === "stopping" || state === "emergencystop" || !validActionForMode){
|
||||
return;
|
||||
}
|
||||
|
||||
|
||||
// go through each machine and add it to the subsets
|
||||
let newSubsets = subsets.map(set => [...set, machineId]);
|
||||
subsets = subsets.concat(newSubsets);
|
||||
});
|
||||
|
||||
|
||||
// Filter for non-empty subsets that can meet or exceed demand flow
|
||||
const combinations = subsets.filter(subset => {
|
||||
if (subset.length === 0) return false;
|
||||
|
||||
|
||||
// Calculate total and minimum flow for the subset in one pass
|
||||
const { maxFlow, minFlow, maxPower } = subset.reduce(
|
||||
(acc, machineId) => {
|
||||
@@ -353,7 +353,7 @@ class MachineGroup {
|
||||
maxPower: acc.maxPower + maxPower
|
||||
|
||||
};
|
||||
},
|
||||
},
|
||||
{ maxFlow: 0, minFlow: 0 , maxPower: 0 }
|
||||
);
|
||||
|
||||
@@ -365,7 +365,7 @@ class MachineGroup {
|
||||
return false;
|
||||
}
|
||||
});
|
||||
|
||||
|
||||
return combinations;
|
||||
}
|
||||
|
||||
@@ -449,7 +449,7 @@ class MachineGroup {
|
||||
return { bestCombination, bestPower, bestFlow, bestCog };
|
||||
}
|
||||
|
||||
|
||||
|
||||
// Estimate the local dP/dQ slopes around the BEP for the provided machine.
|
||||
estimateSlopesAtBEP(machine, Q_BEP, delta = 1.0) {
|
||||
const fallback = {
|
||||
@@ -572,7 +572,7 @@ class MachineGroup {
|
||||
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); // Initial total flow
|
||||
const delta = Qd - totalFlow; // Difference to target demand
|
||||
@@ -580,14 +580,40 @@ class MachineGroup {
|
||||
this.redistributeFlowBySlope(pumpInfos, flowDistribution, delta, directional);
|
||||
}
|
||||
|
||||
// Clamp and compute initial power
|
||||
flowDistribution.forEach(entry => {
|
||||
const info = pumpInfos.find(info => info.id === entry.machineId);
|
||||
entry.flow = Math.min(info.maxFlow, Math.max(info.minFlow, entry.flow));
|
||||
});
|
||||
|
||||
// Marginal-cost refinement: shift flow from most expensive to cheapest
|
||||
// pump using actual power evaluations. Converges regardless of curve convexity.
|
||||
const mcDelta = Math.max(1e-6, (Qd / pumpInfos.length) * 0.005);
|
||||
for (let refineIter = 0; refineIter < 50; refineIter++) {
|
||||
const mcEntries = flowDistribution.map(entry => {
|
||||
const info = pumpInfos.find(i => i.id === entry.machineId);
|
||||
const pNow = info.machine.inputFlowCalcPower(entry.flow);
|
||||
const pUp = info.machine.inputFlowCalcPower(Math.min(info.maxFlow, entry.flow + mcDelta));
|
||||
return { entry, info, mc: (pUp - pNow) / mcDelta };
|
||||
});
|
||||
let expensive = null, cheap = null;
|
||||
for (const e of mcEntries) {
|
||||
if (e.entry.flow > e.info.minFlow + mcDelta) { if (!expensive || e.mc > expensive.mc) expensive = e; }
|
||||
if (e.entry.flow < e.info.maxFlow - mcDelta) { if (!cheap || e.mc < cheap.mc) cheap = e; }
|
||||
}
|
||||
if (!expensive || !cheap || expensive === cheap) break;
|
||||
if (expensive.mc - cheap.mc < expensive.mc * 0.001) break;
|
||||
const before = expensive.info.machine.inputFlowCalcPower(expensive.entry.flow) + cheap.info.machine.inputFlowCalcPower(cheap.entry.flow);
|
||||
const after = expensive.info.machine.inputFlowCalcPower(expensive.entry.flow - mcDelta) + cheap.info.machine.inputFlowCalcPower(cheap.entry.flow + mcDelta);
|
||||
if (after < before) { expensive.entry.flow -= mcDelta; cheap.entry.flow += mcDelta; } else { break; }
|
||||
}
|
||||
|
||||
let totalPower = 0;
|
||||
totalFlow = 0;
|
||||
flowDistribution.forEach(entry => {
|
||||
const info = pumpInfos.find(info => info.id === entry.machineId);
|
||||
const flow = Math.min(info.maxFlow, Math.max(info.minFlow, entry.flow));
|
||||
entry.flow = flow;
|
||||
totalFlow += flow;
|
||||
totalPower += info.machine.inputFlowCalcPower(flow);
|
||||
totalFlow += entry.flow;
|
||||
const info = pumpInfos.find(i => i.id === entry.machineId);
|
||||
totalPower += info.machine.inputFlowCalcPower(entry.flow);
|
||||
});
|
||||
|
||||
const totalCog = pumpInfos.reduce((sum, info) => sum + info.NCog, 0);
|
||||
@@ -645,12 +671,17 @@ class MachineGroup {
|
||||
async optimalControl(Qd, powerCap = Infinity) {
|
||||
|
||||
try{
|
||||
if (Object.keys(this.machines).length === 0) {
|
||||
this.logger.warn("No machines registered. Cannot execute optimal control.");
|
||||
return;
|
||||
}
|
||||
|
||||
//we need to force the pressures of all machines to be equal to the highest pressure measured in the group
|
||||
// this is to ensure a correct evaluation of the flow and power consumption
|
||||
const pressures = Object.entries(this.machines).map(([machineId, machine]) => {
|
||||
return {
|
||||
downstream: this._readChildMeasurement(machine, "pressure", "measured", "downstream", this.unitPolicy.canonical.pressure),
|
||||
upstream: this._readChildMeasurement(machine, "pressure", "measured", "upstream", this.unitPolicy.canonical.pressure)
|
||||
const pressures = Object.entries(this.machines).map(([_machineId, machine]) => {
|
||||
return {
|
||||
downstream: this._readChildMeasurement(machine, "pressure", "measured", POSITIONS.DOWNSTREAM, this.unitPolicy.canonical.pressure) || 0,
|
||||
upstream: this._readChildMeasurement(machine, "pressure", "measured", POSITIONS.UPSTREAM, this.unitPolicy.canonical.pressure) || 0
|
||||
};
|
||||
});
|
||||
|
||||
@@ -660,19 +691,19 @@ class MachineGroup {
|
||||
this.logger.debug(`Max downstream pressure: ${maxDownstream}, Min upstream pressure: ${minUpstream}`);
|
||||
|
||||
//set the pressures
|
||||
Object.entries(this.machines).forEach(([machineId, machine]) => {
|
||||
Object.entries(this.machines).forEach(([_machineId, machine]) => {
|
||||
if(machine.state.getCurrentState() !== "operational" && machine.state.getCurrentState() !== "accelerating" && machine.state.getCurrentState() !== "decelerating"){
|
||||
|
||||
|
||||
//Equilize pressures over all machines so we can make a proper calculation
|
||||
this._writeChildMeasurement(machine, "pressure", "measured", "downstream", maxDownstream, this.unitPolicy.canonical.pressure);
|
||||
this._writeChildMeasurement(machine, "pressure", "measured", "upstream", minUpstream, this.unitPolicy.canonical.pressure);
|
||||
this._writeChildMeasurement(machine, "pressure", "measured", POSITIONS.DOWNSTREAM, maxDownstream, this.unitPolicy.canonical.pressure);
|
||||
this._writeChildMeasurement(machine, "pressure", "measured", POSITIONS.UPSTREAM, minUpstream, this.unitPolicy.canonical.pressure);
|
||||
|
||||
// after updating the measurement directly we need to force the update of the value OLIFANT this is not so clear now in the code
|
||||
// we need to find a better way to do this but for now it works
|
||||
machine.getMeasuredPressure();
|
||||
}
|
||||
});
|
||||
|
||||
|
||||
//fetch dynamic totals
|
||||
const dynamicTotals = this.dynamicTotals;
|
||||
|
||||
@@ -682,7 +713,9 @@ class MachineGroup {
|
||||
}, {});
|
||||
|
||||
if( Qd <= 0 ) {
|
||||
//if Qd is 0 turn all machines off and exit early
|
||||
this.logger.debug("Flow demand <= 0, turning all machines off.");
|
||||
await this.turnOffAllMachines();
|
||||
return;
|
||||
}
|
||||
|
||||
if( Qd < dynamicTotals.flow.min && Qd > 0 ){
|
||||
@@ -697,7 +730,7 @@ class MachineGroup {
|
||||
}
|
||||
|
||||
// fetch all valid combinations that meet expectations
|
||||
const combinations = this.validPumpCombinations(this.machines, Qd, powerCap);
|
||||
const combinations = this.validPumpCombinations(this.machines, Qd, powerCap);
|
||||
|
||||
if (!combinations || combinations.length === 0) {
|
||||
this.logger.warn(`Demand: ${Qd.toFixed(2)} -> No valid combination found (empty set).`);
|
||||
@@ -726,12 +759,12 @@ class MachineGroup {
|
||||
|
||||
const debugInfo = bestResult.bestCombination.map(({ machineId, flow }) => `${machineId}: ${flow.toFixed(2)} units`).join(" | ");
|
||||
this.logger.debug(`Moving to demand: ${Qd.toFixed(2)} -> Pumps: [${debugInfo}] => Total Power: ${bestResult.bestPower.toFixed(2)}`);
|
||||
|
||||
|
||||
//store the total delivered power
|
||||
this._writeMeasurement("power", "predicted", "atequipment", bestResult.bestPower, this.unitPolicy.canonical.power);
|
||||
this._writeMeasurement("flow", "predicted", "atequipment", bestResult.bestFlow, this.unitPolicy.canonical.flow);
|
||||
this.measurements.type("efficiency").variant("predicted").position("atequipment").value(bestResult.bestFlow / bestResult.bestPower);
|
||||
this.measurements.type("Ncog").variant("predicted").position("atequipment").value(bestResult.bestCog);
|
||||
this._writeMeasurement("power", "predicted", POSITIONS.AT_EQUIPMENT, bestResult.bestPower, this.unitPolicy.canonical.power);
|
||||
this._writeMeasurement("flow", "predicted", POSITIONS.DOWNSTREAM, bestResult.bestFlow, this.unitPolicy.canonical.flow);
|
||||
this.measurements.type("efficiency").variant("predicted").position(POSITIONS.AT_EQUIPMENT).value(bestResult.bestFlow / bestResult.bestPower);
|
||||
this.measurements.type("Ncog").variant("predicted").position(POSITIONS.AT_EQUIPMENT).value(bestResult.bestCog);
|
||||
|
||||
await Promise.all(Object.entries(this.machines).map(async ([machineId, machine]) => {
|
||||
// Find the flow for this machine in the best combination
|
||||
@@ -751,11 +784,11 @@ class MachineGroup {
|
||||
|
||||
if(machineStates[machineId] === "idle" && flow > 0){
|
||||
await machine.handleInput("parent", "execsequence", "startup");
|
||||
await machine.handleInput("parent", "flowmovement", flow);
|
||||
await machine.handleInput("parent", "flowmovement", this._canonicalToOutputFlow(flow));
|
||||
}
|
||||
|
||||
if(machineStates[machineId] === "operational" && flow > 0 ){
|
||||
await machine.handleInput("parent", "flowmovement", flow);
|
||||
await machine.handleInput("parent", "flowmovement", this._canonicalToOutputFlow(flow));
|
||||
}
|
||||
}));
|
||||
}
|
||||
@@ -766,23 +799,25 @@ class MachineGroup {
|
||||
|
||||
// Equalize pressure across all machines for machines that are not running. This is needed to ensure accurate flow and power predictions.
|
||||
equalizePressure(){
|
||||
if (Object.keys(this.machines).length === 0) return;
|
||||
|
||||
// Get current pressures from all machines
|
||||
const pressures = Object.entries(this.machines).map(([machineId, machine]) => {
|
||||
return {
|
||||
downstream: this._readChildMeasurement(machine, "pressure", "measured", "downstream", this.unitPolicy.canonical.pressure),
|
||||
upstream: this._readChildMeasurement(machine, "pressure", "measured", "upstream", this.unitPolicy.canonical.pressure)
|
||||
const pressures = Object.entries(this.machines).map(([_machineId, machine]) => {
|
||||
return {
|
||||
downstream: this._readChildMeasurement(machine, "pressure", "measured", POSITIONS.DOWNSTREAM, this.unitPolicy.canonical.pressure) || 0,
|
||||
upstream: this._readChildMeasurement(machine, "pressure", "measured", POSITIONS.UPSTREAM, this.unitPolicy.canonical.pressure) || 0
|
||||
};
|
||||
});
|
||||
|
||||
|
||||
// Find the highest downstream and lowest upstream pressure
|
||||
const maxDownstream = Math.max(...pressures.map(p => p.downstream));
|
||||
const minUpstream = Math.min(...pressures.map(p => p.upstream));
|
||||
|
||||
|
||||
// Set consistent pressures across machines
|
||||
Object.entries(this.machines).forEach(([machineId, machine]) => {
|
||||
if(!this.isMachineActive(machineId)){
|
||||
this._writeChildMeasurement(machine, "pressure", "measured", "downstream", maxDownstream, this.unitPolicy.canonical.pressure);
|
||||
this._writeChildMeasurement(machine, "pressure", "measured", "upstream", minUpstream, this.unitPolicy.canonical.pressure);
|
||||
this._writeChildMeasurement(machine, "pressure", "measured", POSITIONS.DOWNSTREAM, maxDownstream, this.unitPolicy.canonical.pressure);
|
||||
this._writeChildMeasurement(machine, "pressure", "measured", POSITIONS.UPSTREAM, minUpstream, this.unitPolicy.canonical.pressure);
|
||||
// Update the measured pressure value
|
||||
const pressure = machine.getMeasuredPressure();
|
||||
this.logger.debug(`Setting pressure for machine ${machineId} to ${pressure}`);
|
||||
@@ -826,11 +861,11 @@ class MachineGroup {
|
||||
}
|
||||
|
||||
filterOutUnavailableMachines(list) {
|
||||
const newList = list.filter(({ id, machine }) => {
|
||||
const newList = list.filter(({ machine }) => {
|
||||
const state = machine.state.getCurrentState();
|
||||
const validActionForMode = machine.isValidActionForMode("execsequence", "auto");
|
||||
|
||||
return !(state === "off" || state === "coolingdown" || state === "stopping" || state === "emergencystop" || !validActionForMode);
|
||||
|
||||
return !(state === "off" || state === "coolingdown" || state === "stopping" || state === "emergencystop" || !validActionForMode);
|
||||
});
|
||||
return newList;
|
||||
}
|
||||
@@ -841,7 +876,7 @@ class MachineGroup {
|
||||
let lowestEfficiency = Infinity;
|
||||
|
||||
// Calculate the average efficiency of all machines -> peak is the average of them all
|
||||
Object.entries(machines).forEach(([machineId, machine]) => {
|
||||
Object.entries(machines).forEach(([_machineId, machine]) => {
|
||||
cumEfficiency += machine.cog;
|
||||
if(machine.cog < lowestEfficiency){
|
||||
lowestEfficiency = machine.cog;
|
||||
@@ -854,9 +889,9 @@ class MachineGroup {
|
||||
return { maxEfficiency, lowestEfficiency };
|
||||
|
||||
}
|
||||
|
||||
|
||||
//move machines assuming equal control in flow and a priority list
|
||||
async equalFlowControl(Qd, powerCap = Infinity, priorityList = null) {
|
||||
async equalFlowControl(Qd, _powerCap = Infinity, priorityList = null) {
|
||||
try {
|
||||
|
||||
// equalize pressure across all machines
|
||||
@@ -893,14 +928,14 @@ class MachineGroup {
|
||||
availableFlow -= machine.machine.predictFlow.currentFxyYMin;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
// Determine remaining active machines (not shut down).
|
||||
const remainingMachines = machinesInPriorityOrder.filter(
|
||||
({ id }) =>
|
||||
this.isMachineActive(id) &&
|
||||
!flowDistribution.some(item => item.machineId === id)
|
||||
);
|
||||
|
||||
|
||||
// Evenly distribute Qd among the remaining machines.
|
||||
const distributedFlow = Qd / remainingMachines.length;
|
||||
for (let machine of remainingMachines) {
|
||||
@@ -910,14 +945,14 @@ class MachineGroup {
|
||||
}
|
||||
break;
|
||||
}
|
||||
|
||||
case (Qd > activeTotals.flow.max):
|
||||
|
||||
case (Qd > activeTotals.flow.max): {
|
||||
// Case 2: Demand is above the maximum available flow.
|
||||
// Start the non-active machine with the highest priority and distribute Qd over all available machines.
|
||||
let i = 1;
|
||||
while (totalFlow < Qd && i <= machinesInPriorityOrder.length) {
|
||||
Qd = Qd / i;
|
||||
|
||||
|
||||
if(machinesInPriorityOrder[i-1].machine.predictFlow.currentFxyYMax >= Qd){
|
||||
for ( let i2 = 0; i2 < i ; i2++){
|
||||
if(! this.isMachineActive(machinesInPriorityOrder[i2].id)){
|
||||
@@ -929,45 +964,47 @@ class MachineGroup {
|
||||
}
|
||||
i++;
|
||||
}
|
||||
|
||||
break;
|
||||
|
||||
|
||||
default:
|
||||
break;
|
||||
}
|
||||
|
||||
|
||||
default: {
|
||||
// Default case: Demand is within the active range.
|
||||
const countActiveMachines = machinesInPriorityOrder.filter(({ id }) => this.isMachineActive(id)).length;
|
||||
|
||||
Qd /= countActiveMachines;
|
||||
// Simply distribute the demand equally among all available machines.
|
||||
for ( let i = 0 ; i < countActiveMachines ; i++){
|
||||
|
||||
|
||||
flowDistribution.push({ machineId: machinesInPriorityOrder[i].id, flow: Qd});
|
||||
totalFlow += Qd ;
|
||||
totalPower += machinesInPriorityOrder[i].machine.inputFlowCalcPower(Qd);
|
||||
|
||||
}
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
// Log information about flow distribution
|
||||
const debugInfo = flowDistribution
|
||||
.filter(({ flow }) => flow > 0)
|
||||
.map(({ machineId, flow }) => `${machineId}: ${flow.toFixed(2)} units`)
|
||||
.join(" | ");
|
||||
|
||||
|
||||
this.logger.debug(`Priority control for demand: ${totalFlow.toFixed(2)} -> Active pumps: [${debugInfo}] => Total Power: ${totalPower.toFixed(2)}`);
|
||||
|
||||
|
||||
// Store measurements
|
||||
this._writeMeasurement("power", "predicted", "atequipment", totalPower, this.unitPolicy.canonical.power);
|
||||
this._writeMeasurement("flow", "predicted", "atequipment", totalFlow, this.unitPolicy.canonical.flow);
|
||||
this.measurements.type("efficiency").variant("predicted").position("atequipment").value(totalFlow / totalPower);
|
||||
this.measurements.type("Ncog").variant("predicted").position("atequipment").value(totalCog);
|
||||
this._writeMeasurement("power", "predicted", POSITIONS.AT_EQUIPMENT, totalPower, this.unitPolicy.canonical.power);
|
||||
this._writeMeasurement("flow", "predicted", POSITIONS.DOWNSTREAM, totalFlow, this.unitPolicy.canonical.flow);
|
||||
this.measurements.type("efficiency").variant("predicted").position(POSITIONS.AT_EQUIPMENT).value(totalFlow / totalPower);
|
||||
this.measurements.type("Ncog").variant("predicted").position(POSITIONS.AT_EQUIPMENT).value(totalCog);
|
||||
|
||||
this.logger.debug(`Flow distribution: ${JSON.stringify(flowDistribution)}`);
|
||||
// Apply the flow distribution to machines
|
||||
await Promise.all(flowDistribution.map(async ({ machineId, flow }) => {
|
||||
const machine = this.machines[machineId];
|
||||
this.logger.debug(this.machines[machineId].state);
|
||||
this.logger.debug(this.machines[machineId].state);
|
||||
const currentState = this.machines[machineId].state.getCurrentState();
|
||||
|
||||
if (flow <= 0 && (currentState === "operational" || currentState === "accelerating" || currentState === "decelerating")) {
|
||||
@@ -975,9 +1012,10 @@ class MachineGroup {
|
||||
}
|
||||
else if (currentState === "idle" && flow > 0) {
|
||||
await machine.handleInput("parent", "execsequence", "startup");
|
||||
await machine.handleInput("parent", "flowmovement", this._canonicalToOutputFlow(flow));
|
||||
}
|
||||
else if (currentState === "operational" && flow > 0) {
|
||||
await machine.handleInput("parent", "flowmovement", flow);
|
||||
await machine.handleInput("parent", "flowmovement", this._canonicalToOutputFlow(flow));
|
||||
}
|
||||
}));
|
||||
}
|
||||
@@ -999,7 +1037,7 @@ class MachineGroup {
|
||||
}
|
||||
|
||||
//capp input to 100
|
||||
input > 100 ? input = 100 : input = input;
|
||||
if (input > 100) { input = 100; }
|
||||
|
||||
const numOfMachines = Object.keys(this.machines).length;
|
||||
const procentTotal = numOfMachines * input;
|
||||
@@ -1011,9 +1049,9 @@ class MachineGroup {
|
||||
const ctrlDistribution = []; //{machineId : 0, flow : 0} push for each machine
|
||||
|
||||
if(machinesNeeded > machinesActive){
|
||||
|
||||
|
||||
//start extra machine and put all active machines at min control
|
||||
machinesInPriorityOrder.forEach(({ id, machine }, index) => {
|
||||
machinesInPriorityOrder.forEach(({ id }, index) => {
|
||||
if(index < machinesNeeded){
|
||||
ctrlDistribution.push({machineId : id, ctrl : 0});
|
||||
}
|
||||
@@ -1021,8 +1059,8 @@ class MachineGroup {
|
||||
}
|
||||
|
||||
if(machinesNeeded < machinesActive){
|
||||
|
||||
machinesInPriorityOrder.forEach(({ id, machine }, index) => {
|
||||
|
||||
machinesInPriorityOrder.forEach(({ id }, index) => {
|
||||
if(this.isMachineActive(id)){
|
||||
if(index < machinesNeeded){
|
||||
ctrlDistribution.push({machineId : id, ctrl : 100});
|
||||
@@ -1038,11 +1076,11 @@ class MachineGroup {
|
||||
if (machinesNeeded === machinesActive) {
|
||||
// distribute input equally among active machines (0 - 100%)
|
||||
const ctrlPerMachine = procentTotal / machinesActive;
|
||||
|
||||
machinesInPriorityOrder.forEach(({ id, machine }) => {
|
||||
|
||||
machinesInPriorityOrder.forEach(({ id }) => {
|
||||
if (this.isMachineActive(id)) {
|
||||
// ensure ctrl is capped between 0 and 100%
|
||||
const ctrlValue = Math.max(0, Math.min(ctrlPerMachine, 100));
|
||||
const ctrlValue = Math.max(0, Math.min(ctrlPerMachine, 100));
|
||||
ctrlDistribution.push({ machineId: id, ctrl: ctrlValue });
|
||||
}
|
||||
});
|
||||
@@ -1071,10 +1109,10 @@ class MachineGroup {
|
||||
const totalFlow = [];
|
||||
|
||||
// fetch and store measurements
|
||||
Object.entries(this.machines).forEach(([machineId, machine]) => {
|
||||
Object.entries(this.machines).forEach(([_machineId, machine]) => {
|
||||
|
||||
const powerValue = this._readChildMeasurement(machine, "power", "predicted", "atequipment", this.unitPolicy.canonical.power);
|
||||
const flowValue = this._readChildMeasurement(machine, "flow", "predicted", "atequipment", this.unitPolicy.canonical.flow);
|
||||
const powerValue = this._readChildMeasurement(machine, "power", "predicted", POSITIONS.AT_EQUIPMENT, this.unitPolicy.canonical.power);
|
||||
const flowValue = this._readChildMeasurement(machine, "flow", "predicted", POSITIONS.DOWNSTREAM, this.unitPolicy.canonical.flow);
|
||||
|
||||
if (powerValue !== null) {
|
||||
totalPower.push(powerValue);
|
||||
@@ -1084,11 +1122,11 @@ class MachineGroup {
|
||||
}
|
||||
});
|
||||
|
||||
this._writeMeasurement("power", "predicted", "atequipment", totalPower.reduce((a, b) => a + b, 0), this.unitPolicy.canonical.power);
|
||||
this._writeMeasurement("flow", "predicted", "atequipment", totalFlow.reduce((a, b) => a + b, 0), this.unitPolicy.canonical.flow);
|
||||
this._writeMeasurement("power", "predicted", POSITIONS.AT_EQUIPMENT, totalPower.reduce((a, b) => a + b, 0), this.unitPolicy.canonical.power);
|
||||
this._writeMeasurement("flow", "predicted", POSITIONS.DOWNSTREAM, totalFlow.reduce((a, b) => a + b, 0), this.unitPolicy.canonical.flow);
|
||||
|
||||
if(totalPower.reduce((a, b) => a + b, 0) > 0){
|
||||
this.measurements.type("efficiency").variant("predicted").position("atequipment").value(totalFlow.reduce((a, b) => a + b, 0) / totalPower.reduce((a, b) => a + b, 0));
|
||||
this.measurements.type("efficiency").variant("predicted").position(POSITIONS.AT_EQUIPMENT).value(totalFlow.reduce((a, b) => a + b, 0) / totalPower.reduce((a, b) => a + b, 0));
|
||||
}
|
||||
|
||||
}
|
||||
@@ -1096,9 +1134,9 @@ class MachineGroup {
|
||||
this.logger.error(err);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
async handleInput(source, demand, powerCap = Infinity, priorityList = null) {
|
||||
|
||||
|
||||
const demandQ = parseFloat(demand);
|
||||
|
||||
if(!Number.isFinite(demandQ)){
|
||||
@@ -1123,19 +1161,20 @@ class MachineGroup {
|
||||
demandQout = 0;
|
||||
return;
|
||||
}
|
||||
|
||||
if (demandQ < absoluteTotals.flow.min) {
|
||||
this.logger.warn(`Flow demand ${demandQ} is below minimum possible flow ${absoluteTotals.flow.min}. Capping to minimum flow.`);
|
||||
demandQout = this.absoluteTotals.flow.min;
|
||||
} else if (demandQout > absoluteTotals.flow.max) {
|
||||
this.logger.warn(`Flow demand ${demandQ} is above maximum possible flow ${absoluteTotals.flow.max}. Capping to maximum flow.`);
|
||||
demandQout = absoluteTotals.flow.max;
|
||||
}else if(demandQout <= 0){
|
||||
|
||||
if (demandQ <= 0) {
|
||||
this.logger.debug(`Turning machines off`);
|
||||
demandQout = 0;
|
||||
//return early and turn all machines off
|
||||
this.turnOffAllMachines();
|
||||
return;
|
||||
} else if (demandQ < this.absoluteTotals.flow.min) {
|
||||
this.logger.warn(`Flow demand ${demandQ} is below minimum possible flow ${this.absoluteTotals.flow.min}. Capping to minimum flow.`);
|
||||
demandQout = this.absoluteTotals.flow.min;
|
||||
} else if (demandQ > this.absoluteTotals.flow.max) {
|
||||
this.logger.warn(`Flow demand ${demandQ} is above maximum possible flow ${this.absoluteTotals.flow.max}. Capping to maximum flow.`);
|
||||
demandQout = this.absoluteTotals.flow.max;
|
||||
} else {
|
||||
demandQout = demandQ;
|
||||
}
|
||||
break;
|
||||
|
||||
@@ -1170,9 +1209,9 @@ class MachineGroup {
|
||||
this.logger.warn("Priority percentage control is only valid with normalized scaling.");
|
||||
return;
|
||||
}
|
||||
await this.prioPercentageControl(demandQout,priorityList);
|
||||
await this.prioPercentageControl(demandQout,priorityList);
|
||||
break;
|
||||
|
||||
|
||||
case "optimalcontrol":
|
||||
this.logger.debug(`Calculating optimal control. Input flow demand: ${demandQ} scaling : ${scaling} -> ${demandQout}`);
|
||||
await this.optimalControl(demandQout,powerCap);
|
||||
@@ -1185,7 +1224,7 @@ class MachineGroup {
|
||||
|
||||
//recalc distance from BEP
|
||||
const { maxEfficiency, lowestEfficiency } = this.calcGroupEfficiency(this.machines);
|
||||
const efficiency = this.measurements.type("efficiency").variant("predicted").position("downstream").getCurrentValue();
|
||||
const efficiency = this.measurements.type("efficiency").variant("predicted").position(POSITIONS.AT_EQUIPMENT).getCurrentValue();
|
||||
this.calcDistanceBEP(efficiency,maxEfficiency,lowestEfficiency);
|
||||
|
||||
}
|
||||
@@ -1242,6 +1281,13 @@ class MachineGroup {
|
||||
}
|
||||
}
|
||||
|
||||
_canonicalToOutputFlow(value) {
|
||||
const from = this.unitPolicy.canonical.flow;
|
||||
const to = this.unitPolicy.output.flow;
|
||||
if (!from || !to || from === to) return value;
|
||||
return convert(value).from(from).to(to);
|
||||
}
|
||||
|
||||
_outputUnitForType(type) {
|
||||
switch (String(type || '').toLowerCase()) {
|
||||
case 'flow':
|
||||
@@ -1306,34 +1352,34 @@ class MachineGroup {
|
||||
const output = {};
|
||||
|
||||
//build the output object
|
||||
Object.entries(this.measurements.measurements || {}).forEach(([type, variants]) => {
|
||||
Object.keys(variants || {}).forEach((variant) => {
|
||||
const unit = this._outputUnitForType(type);
|
||||
const downstreamVal = this._readMeasurement(type, variant, "downstream", unit);
|
||||
const atEquipmentVal = this._readMeasurement(type, variant, "atequipment", unit);
|
||||
const upstreamVal = this._readMeasurement(type, variant, "upstream", unit);
|
||||
this.measurements.getTypes().forEach(type => {
|
||||
this.measurements.getVariants(type).forEach(variant => {
|
||||
const unit = this._outputUnitForType(type);
|
||||
const downstreamVal = this._readMeasurement(type, variant, POSITIONS.DOWNSTREAM, unit);
|
||||
const atEquipmentVal = this._readMeasurement(type, variant, POSITIONS.AT_EQUIPMENT, unit);
|
||||
const upstreamVal = this._readMeasurement(type, variant, POSITIONS.UPSTREAM, unit);
|
||||
|
||||
if (downstreamVal != null) {
|
||||
output[`downstream_${variant}_${type}`] = downstreamVal;
|
||||
}
|
||||
if (upstreamVal != null) {
|
||||
output[`upstream_${variant}_${type}`] = upstreamVal;
|
||||
}
|
||||
if (atEquipmentVal != null) {
|
||||
output[`atequipment${variant}_${type}`] = atEquipmentVal;
|
||||
}
|
||||
if (downstreamVal != null && upstreamVal != null) {
|
||||
const diff = this.measurements
|
||||
.type(type)
|
||||
.variant(variant)
|
||||
.difference({ from: 'downstream', to: 'upstream', unit });
|
||||
if (diff?.value != null) {
|
||||
output[`differential_${variant}_${type}`] = diff.value;
|
||||
}
|
||||
}
|
||||
});
|
||||
if (downstreamVal != null) {
|
||||
output[`downstream_${variant}_${type}`] = downstreamVal;
|
||||
}
|
||||
if (upstreamVal != null) {
|
||||
output[`upstream_${variant}_${type}`] = upstreamVal;
|
||||
}
|
||||
if (atEquipmentVal != null) {
|
||||
output[`atEquipment_${variant}_${type}`] = atEquipmentVal;
|
||||
}
|
||||
if (downstreamVal != null && upstreamVal != null) {
|
||||
const diff = this.measurements
|
||||
.type(type)
|
||||
.variant(variant)
|
||||
.difference({ from: POSITIONS.DOWNSTREAM, to: POSITIONS.UPSTREAM, unit });
|
||||
if (diff?.value != null) {
|
||||
output[`differential_${variant}_${type}`] = diff.value;
|
||||
}
|
||||
}
|
||||
});
|
||||
});
|
||||
|
||||
|
||||
//fill in the rest of the output object
|
||||
output["mode"] = this.mode;
|
||||
output["scaling"] = this.scaling;
|
||||
@@ -1343,10 +1389,10 @@ class MachineGroup {
|
||||
output["absDistFromPeak"] = this.absDistFromPeak;
|
||||
output["relDistFromPeak"] = this.relDistFromPeak;
|
||||
//this.logger.debug(`Output: ${JSON.stringify(output)}`);
|
||||
|
||||
|
||||
return output;
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
|
||||
module.exports = MachineGroup;
|
||||
@@ -1359,8 +1405,8 @@ const { max } = require("mathjs");
|
||||
|
||||
function createBaseMachineConfig(machineNum, name,specs) {
|
||||
return {
|
||||
general: {
|
||||
logging: { enabled: true, logLevel: "debug" },
|
||||
general: {
|
||||
logging: { enabled: true, logLevel: "debug" },
|
||||
name: name,
|
||||
id: machineNum,
|
||||
unit: "m3/h"
|
||||
@@ -1417,8 +1463,8 @@ function createStateConfig(){
|
||||
|
||||
function createBaseMachineGroupConfig(name) {
|
||||
return {
|
||||
general: {
|
||||
logging: { enabled: true, logLevel: "debug" },
|
||||
general: {
|
||||
logging: { enabled: true, logLevel: "debug" },
|
||||
name: name
|
||||
},
|
||||
functionality: {
|
||||
@@ -1489,28 +1535,28 @@ async function makeMachines(){
|
||||
const percMax = 100;
|
||||
|
||||
try{
|
||||
|
||||
|
||||
for(let demand = mg.dynamicTotals.flow.min ; demand <= mg.dynamicTotals.flow.max ; demand += 2){
|
||||
//set pressure
|
||||
|
||||
|
||||
console.log("------------------------------------");
|
||||
await mg.handleInput("parent",demand);
|
||||
pt1.calculateInput(1400);
|
||||
//await new Promise(resolve => setTimeout(resolve, 200));
|
||||
console.log("------------------------------------");
|
||||
|
||||
|
||||
}
|
||||
|
||||
|
||||
for(let demand = 240 ; demand >= mg.dynamicTotals.flow.min ; demand -= 40){
|
||||
//set pressure
|
||||
|
||||
|
||||
console.log("------------------------------------");
|
||||
|
||||
await mg.handleInput("parent",demand);
|
||||
pt1.calculateInput(1400);
|
||||
//await new Promise(resolve => setTimeout(resolve, 200));
|
||||
console.log("------------------------------------");
|
||||
|
||||
|
||||
}
|
||||
//*//*
|
||||
|
||||
@@ -1518,7 +1564,7 @@ async function makeMachines(){
|
||||
//set pressure
|
||||
|
||||
console.log(`TESTING: processing demand of ${demand}`);
|
||||
|
||||
|
||||
await mg.handleInput("parent",demand);
|
||||
Object.keys(mg.machines).forEach(machineId => {
|
||||
console.log(mg.machines[machineId].state.getCurrentState());
|
||||
@@ -1527,7 +1573,7 @@ async function makeMachines(){
|
||||
console.log(`updating pressure to 1400 mbar`);
|
||||
pt1.calculateInput(1400);
|
||||
console.log("------------------------------------");
|
||||
|
||||
|
||||
}
|
||||
}
|
||||
catch(err){
|
||||
@@ -1535,7 +1581,7 @@ async function makeMachines(){
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
}
|
||||
|
||||
|
||||
@@ -1543,4 +1589,4 @@ if (require.main === module) {
|
||||
makeMachines();
|
||||
}
|
||||
|
||||
//*/
|
||||
//*/
|
||||
227
test/integration/distribution-power-table.integration.test.js
Normal file
227
test/integration/distribution-power-table.integration.test.js
Normal file
@@ -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)}%`);
|
||||
}
|
||||
});
|
||||
442
test/integration/ncog-distribution.integration.test.js
Normal file
442
test/integration/ncog-distribution.integration.test.js
Normal file
@@ -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)}`
|
||||
);
|
||||
});
|
||||
Reference in New Issue
Block a user