10 Commits

Author SHA1 Message Date
znetsixe
108d2e23ca bug fixes 2025-11-30 09:24:37 +01:00
znetsixe
446ef81f24 adjusted input for measurement container 2025-11-28 09:59:51 +01:00
znetsixe
966ba06faa some minor addons to measurement container 2025-11-27 17:46:56 +01:00
znetsixe
e8c96c4b1e removed useless parameter 2025-11-25 16:19:23 +01:00
znetsixe
f083e7596a update 2025-11-20 22:29:24 +01:00
znetsixe
6ca6e536a5 fixed dropdown speed selection 2025-11-20 11:09:44 +01:00
znetsixe
fb75fb8a11 Removed error when machine doesnt have curve so node-red doesnt crash when you dont select a machine 2025-11-13 19:39:05 +01:00
znetsixe
6528c966d8 added default liquid temp and atm pressure, added nhyd - specific flow and specific energy consumption 2025-11-12 17:40:38 +01:00
znetsixe
994cf641a3 removed some old comments 2025-11-07 15:10:46 +01:00
znetsixe
6ae622b6bf fixed bugs with db output formatting 2025-11-06 11:19:08 +01:00
4 changed files with 110 additions and 289 deletions

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@@ -1,23 +1 @@
# rotating machine
---Explanation KPIs---
Mean Time Between Failures: MTBF is a key indicator of asset reliability. It represents the average amount of time between two consecutive failures during normal operation. The higher the value, the better.
- Formula: MTBF = runtime / failures
Mean Time to Repair: MTTR focuses on the speed of failure recovery. It indicates how long it takes on average to repair a failure and restore the system to operational condition. The lower the value, the better.
- Formula: MTTR = downtime / failures
Asset Availability: Asset availability indicates how often machines are available for use. Higher availability means that the equipment experiences fewer breakdowns and remains operational for a greater amount of time.
- Formula: availability = MTBF / (MTBF + MTTR) * 100%
Asset Health Index: A score ranging from 0 (optimal condition) to 5 (worst case) that reflects the overall health status of an asset.
---KPI message---
The message consists of the following components:
- asset tagnumber:
- asset availability
- mean time between failures
- mean time to repair
- asset health index
- asset health color: Gives a color based on the asset health index (0 = Darkgreen, 1 = Green, 2 = Yellow, 3 = Orange, 4 = Red, 5 = Darkred.)
- total failures: the total number of failures that have occured for a particular asset
# rotating machine

View File

@@ -24,6 +24,7 @@
warmup: { value: 0 },
shutdown: { value: 0 },
cooldown: { value: 0 },
movementMode : { value: "staticspeed" }, // static or dynamic
machineCurve : { value: {}},
//define asset properties
@@ -54,7 +55,7 @@
icon: "font-awesome/fa-cog",
label: function () {
return this.positionIcon + " " + this.category.slice(0, -1) || "Machine";
return this.positionIcon + " " + this.category || "Machine";
},
oneditprepare: function() {
@@ -74,6 +75,10 @@
document.getElementById("node-input-warmup");
document.getElementById("node-input-shutdown");
document.getElementById("node-input-cooldown");
const movementMode = document.getElementById("node-input-movementMode");
if (movementMode) {
movementMode.value = this.movementMode || "staticspeed";
}
},
oneditsave: function() {
@@ -99,6 +104,9 @@
node[field] = value;
});
node.movementMode = document.getElementById("node-input-movementMode").value;
console.log(`----------------> Saving movementMode: ${node.movementMode}`);
}
});
</script>
@@ -127,6 +135,13 @@
<label for="node-input-cooldown"><i class="fa fa-clock-o"></i> Cooldown Time</label>
<input type="number" id="node-input-cooldown" style="width:60%;" />
</div>
<div class="form-row">
<label for="node-input-movementMode"><i class="fa fa-exchange"></i> Movement Mode</label>
<select id="node-input-movementMode" style="width:60%;">
<option value="staticspeed">Static</option>
<option value="dynspeed">Dynamic</option>
</select>
</div>
<!-- Asset fields injected here -->
<div id="asset-fields-placeholder"></div>

View File

@@ -76,6 +76,8 @@ class nodeClass {
_setupSpecificClass(uiConfig) {
const machineConfig = this.config;
console.log(`----------------> Loaded movementMode in nodeClass: ${uiConfig.movementMode}`);
// need extra state for this
const stateConfig = {
general: {
@@ -85,7 +87,8 @@ class nodeClass {
}
},
movement: {
speed: Number(uiConfig.speed)
speed: Number(uiConfig.speed),
mode: uiConfig.movementMode
},
time: {
starting: Number(uiConfig.startup),
@@ -227,8 +230,8 @@ class nodeClass {
//this.source.tick();
const raw = this.source.getOutput();
const processMsg = this._output.formatMsg(raw, this.config, 'process');
const influxMsg = this._output.formatMsg(raw, this.config, 'influxdb');
const processMsg = this._output.formatMsg(raw, this.source.config, 'process');
const influxMsg = this._output.formatMsg(raw, this.source.config, 'influxdb');
// Send only updated outputs on ports 0 & 1
this.node.send([processMsg, influxMsg]);

View File

@@ -1,6 +1,5 @@
const EventEmitter = require('events');
const {loadCurve,logger,configUtils,configManager,state, nrmse, MeasurementContainer, predict, interpolation , childRegistrationUtils} = require('generalFunctions');
const { name } = require('../../generalFunctions/src/convert/lodash/lodash._shimkeys');
const {loadCurve,gravity,logger,configUtils,configManager,state, nrmse, MeasurementContainer, predict, interpolation , childRegistrationUtils,coolprop} = require('generalFunctions');
class Machine {
@@ -17,7 +16,7 @@ class Machine {
// Load a specific curve
this.model = machineConfig.asset.model; // Get the model from the machineConfig
this.curve = this.model ? loadCurve(this.model) : null;
this.curve = this.model ? loadCurve(this.model) : null; // we need to convert the curve and add units to the curve information
//Init config and check if it is valid
this.config = this.configUtils.initConfig(machineConfig);
@@ -35,10 +34,8 @@ class Machine {
}
else{
this.hasCurve = true;
this.config = this.configUtils.updateConfig(this.config, {
asset: { ...this.config.asset, machineCurve: this.curve }
});
machineConfig = { ...machineConfig, asset: { ...machineConfig.asset, machineCurve: this.curve } }; // Merge curve into machineConfig
this.config = this.configUtils.updateConfig(this.config, { asset: { ...this.config.asset, machineCurve: this.curve } });
//machineConfig = { ...machineConfig, asset: { ...machineConfig.asset, machineCurve: this.curve } }; // Merge curve into machineConfig
this.predictFlow = new predict({ curve: this.config.asset.machineCurve.nq }); // load nq (x : ctrl , y : flow relationship)
this.predictPower = new predict({ curve: this.config.asset.machineCurve.np }); // load np (x : ctrl , y : power relationship)
this.predictCtrl = new predict({ curve: this.reverseCurve(this.config.asset.machineCurve.nq) }); // load reversed nq (x: flow, y: ctrl relationship)
@@ -84,86 +81,33 @@ class Machine {
this._updateState();
});
//perform init for certain values
this._init();
this.child = {}; // object to hold child information so we know on what to subscribe
this.childRegistrationUtils = new childRegistrationUtils(this); // Child registration utility
// --- KPI tracking ---
this.kpi = {
failures: 0,
totalRuntimeHours: 0,
totalDowntimeHours: 0,
lastFailureTime: null,
lastRepairTime: null,
MTBF: 0,
MTTR: 0,
availability: 0
};
this.assetHealth = {
index: 0 // 0 = optimal, 5 = failure
};
this.state.emitter.on('stateChange', (payload) => {
const stateStr = typeof payload === 'string'
? payload
: (payload?.state ?? payload?.newState ?? payload);
if (typeof stateStr !== 'string') {
this.logger.warn(`stateChange event without parsable state: ${JSON.stringify(payload)}`);
return;
}
this._handleStateChangeForKPI(stateStr);
});
// --- KPI tracking ---
this.kpi = {
failures: 0,
totalRuntimeHours: 0,
totalDowntimeHours: 0,
lastFailureTime: null,
lastRepairTime: null,
MTBF: 0,
MTTR: 0,
availability: 0
};
this.assetHealth = {
index: 0 // 0 = optimal, 5 = failure
};
this.state.emitter.on('stateChange', (payload) => {
const stateStr = typeof payload === 'string'
? payload
: (payload?.state ?? payload?.newState ?? payload);
if (typeof stateStr !== 'string') {
this.logger.warn(`stateChange event without parsable state: ${JSON.stringify(payload)}`);
return;
}
this._handleStateChangeForKPI(stateStr);
});
}
_init(){
//assume standard temperature is 20degrees
this.measurements.type('temperature').variant('measured').position('atEquipment').value(15).unit('C');
//assume standard atm pressure is at sea level
this.measurements.type('atmPressure').variant('measured').position('atEquipment').value(101325).unit('Pa');
//populate min and max
const flowunit = this.config.general.unit;
this.measurements.type('flow').variant('predicted').position('max').value(this.predictFlow.currentFxyYMax, Date.now() , flowunit)
this.measurements.type('flow').variant('predicted').position('min').value(this.predictFlow.currentFxyYMin).unit(this.config.general.unit);
}
_updateState(){
const isOperational = this._isOperationalState();
if(!isOperational){
//overrule the last prediction this should be 0 now
this.measurements.type("flow").variant("predicted").position("downstream").value(0);
}
}
_updateState(){
const isOperational = this._isOperationalState();
if(!isOperational){
//overrule the last prediction this should be 0 now
this.measurements.type("flow").variant("predicted").position("downstream").value(0);
this.measurements.type("flow").variant("predicted").position("downstream").value(0,Date.now(),this.config.general.unit);
this.measurements.type("flow").variant("predicted").position("atEquipment").value(0,Date.now(),this.config.general.unit);
}
}
@@ -185,7 +129,7 @@ class Machine {
this.logger.debug(`🔄 ${position} ${measurementType} from ${eventData.childName}: ${eventData.value} ${eventData.unit}`);
console.log(` Emitting... ${eventName} with data:`);
this.logger.debug(` Emitting... ${eventName} with data:`);
// Store directly in parent's measurement container
this.measurements
.type(measurementType)
@@ -210,6 +154,10 @@ _callMeasurementHandler(measurementType, value, position, context) {
this.updateMeasuredFlow(value, position, context);
break;
case 'temperature':
this.updateMeasuredTemperature(value, position, context);
break;
default:
this.logger.warn(`No handler for measurement type: ${measurementType}`);
// Generic handler - just update position
@@ -275,7 +223,6 @@ _callMeasurementHandler(measurementType, value, position, context) {
async handleInput(source, action, parameter) {
this.logger.debug("hello");
//sanitize input
if( typeof action !== 'string'){this.logger.error(`Action must be string`); return;}
//convert to lower case to avoid to many mistakes in commands
@@ -284,8 +231,6 @@ _callMeasurementHandler(measurementType, value, position, context) {
// check for validity of the request
if(!this.isValidActionForMode(action,this.currentMode)){return ;}
if (!this.isValidSourceForMode(source, this.currentMode)) {return ;}
this.logger.debug("hello2");
this.logger.info(`Handling input from source '${source}' with action '${action}' in mode '${this.currentMode}'.`);
@@ -403,21 +348,23 @@ _callMeasurementHandler(measurementType, value, position, context) {
calcFlow(x) {
if(this.hasCurve) {
if (!this._isOperationalState()) {
this.measurements.type("flow").variant("predicted").position("downstream").value(0);
this.measurements.type("flow").variant("predicted").position("downstream").value(0,Date.now(),this.config.general.unit);
this.measurements.type("flow").variant("predicted").position("atEquipment").value(0,Date.now(),this.config.general.unit);
this.logger.debug(`Machine is not operational. Setting predicted flow to 0.`);
return 0;
}
//this.predictFlow.currentX = x; Decrepated
const cFlow = this.predictFlow.y(x);
this.measurements.type("flow").variant("predicted").position("downstream").value(cFlow);
this.measurements.type("flow").variant("predicted").position("downstream").value(cFlow,Date.now(),this.config.general.unit);
this.measurements.type("flow").variant("predicted").position("atEquipment").value(cFlow,Date.now(),this.config.general.unit);
//this.logger.debug(`Calculated flow: ${cFlow} for pressure: ${this.getMeasuredPressure()} and position: ${x}`);
return cFlow;
}
// If no curve data is available, log a warning and return 0
this.logger.warn(`No curve data available for flow calculation. Returning 0.`);
this.measurements.type("flow").variant("predicted").position("downstream").value(0);
this.measurements.type("flow").variant("predicted").position("downstream").value(0, Date.now(),this.config.general.unit);
this.measurements.type("flow").variant("predicted").position("atEquipment").value(0, Date.now(),this.config.general.unit);
return 0;
}
@@ -482,6 +429,11 @@ _callMeasurementHandler(measurementType, value, position, context) {
// returns the best available pressure measurement to use in the prediction calculation
// this will be either the differential pressure, downstream or upstream pressure
getMeasuredPressure() {
if(this.hasCurve === false){
this.logger.error(`No valid curve available to calculate prediction using last known pressure`);
return 0;
}
const pressureDiff = this.measurements.type('pressure').variant('measured').difference();
// Both upstream & downstream => differential
@@ -530,6 +482,9 @@ _callMeasurementHandler(measurementType, value, position, context) {
const efficiency = this.calcEfficiency(this.predictPower.outputY, this.predictFlow.outputY, "predicted");
//update the distance from peak
this.calcDistanceBEP(efficiency,cog,minEfficiency);
//place min and max flow capabilities in containerthis.predictFlow.currentFxyYMax - this.predictFlow.currentFxyYMin
this.measurements.type('flow').variant('predicted').position('max').value(this.predictFlow.currentFxyYMax).unit(this.config.general.unit);
this.measurements.type('flow').variant('predicted').position('min').value(this.predictFlow.currentFxyYMin).unit(this.config.general.unit);
return 0;
}
@@ -617,6 +572,7 @@ _callMeasurementHandler(measurementType, value, position, context) {
// Update predicted flow if you have prediction capability
if (this.predictFlow) {
this.measurements.type("flow").variant("predicted").position("downstream").value(this.predictFlow.outputY || 0);
this.measurements.type("flow").variant("predicted").position("atEquipment").value(this.predictFlow.outputY || 0);
}
}
@@ -647,137 +603,8 @@ _callMeasurementHandler(measurementType, value, position, context) {
this.calcDistanceBEP(efficiency,cog,minEfficiency);
}
}
/////////////////////////////
/**
* Compute a single drift score in [0..1] using predicted vs measured series.
* Uses min/max of the *predicted* window as normalization range.
* If no usable data -> returns 0 (neutral).
*/
_computeDriftScore() {
try {
const metrics = [
{ key: "pressure", pos: "downstream" },
{ key: "flow", pos: "downstream" },
{ key: "power", pos: "atEquipment" }
];
const values = [];
for (const m of metrics) {
const pred = this.measurements.type(m.key).variant("predicted").position(m.pos).getAllValues()?.values;
const meas = this.measurements.type(m.key).variant("measured").position(m.pos).getAllValues()?.values;
if (!Array.isArray(pred) || !Array.isArray(meas) || pred.length < 2 || meas.length < 2) continue;
const expectedMin = Math.min(...pred);
const expectedMax = Math.max(...pred);
if (!Number.isFinite(expectedMin) || !Number.isFinite(expectedMax) || expectedMax === expectedMin) continue;
const drift = this.errorMetrics.assessDrift(pred, meas, expectedMin, expectedMax);
if (Number.isFinite(drift)) {
// assessDrift is already normalized; keep it in [0..1]
values.push(Math.max(0, Math.min(1, Math.abs(drift))));
}
}
if (values.length === 0) return 0; // neutral if no data
const avg = values.reduce((s, v) => s + v, 0) / values.length;
return Math.max(0, Math.min(1, avg));
} catch (e) {
this.logger?.warn?.(`Drift score error: ${e.message}`);
return 0;
}
}
_calculateAssetHealthIndex() {
try {
// 1) Hard fail -> worst health
// if (this.state?.getCurrentState && this.state.getCurrentState() === "failed")
if (["off"].includes(this.state?.getCurrentState?.())){
this.assetHealth.index = 5;
return 5;
}
// 2) Inputs (clamped to 0..1)
const availability = typeof this.kpi?.availability === 'number' ? this.kpi.availability : 1;
const unavailability = 1 - Math.max(0, Math.min(1, availability));
const effPenalty = Math.max(0, Math.min(1, typeof this.relDistFromPeak === 'number' ? this.relDistFromPeak : 0));
const driftScore = this._computeDriftScore(); // 0..1
// 3) Blend (weights sum to 1.0)
// Tweak these if you like: e.g. make drift more/less important.
const wAvail = 0.4; // unavailability weight
const wDrift = 0.4; // drift weight
const wEff = 0.2; // efficiency distance weight
const score01 = (wAvail * unavailability) + (wDrift * driftScore) + (wEff * effPenalty);
// 4) Scale to 0..5 integer, clamp
const index = Math.max(0, Math.min(5, Math.round(score01 * 5)));
this.assetHealth.index = index;
return index;
} catch (err) {
this.logger?.error?.(`AHI calc error: ${err.message}`);
this.assetHealth.index = 0;
return 0;
}
}
_handleStateChangeForKPI(newState) {
const now = Date.now();
const runtime = this.state.getRunTimeHours();
const lastState = this.state.getPreviousState?.() || "unknown";
// --- Treat OFF as failure and start of downtime ---
if (newState === "off") {
this.kpi.failures++; // always count a new failure when OFF
this.kpi.lastFailureTime = now; // mark the start of downtime
this.logger.warn(`Machine OFF (counted as failure). Total failures: ${this.kpi.failures}`);
}
// --- When we leave OFF and become OPERATIONAL, book downtime ---
if (newState === "operational") {
// Only calculate downtime if we had an OFF period before
if (this.kpi.lastFailureTime != null) {
const downtimeHours = (now - this.kpi.lastFailureTime) / 3600000;
this.kpi.totalDowntimeHours += downtimeHours;
this.kpi.lastRepairTime = now; // moment of "repaired"
this.kpi.lastFailureTime = null; // close downtime window
this.logger.info(`OFF → OPERATIONAL. Added ${downtimeHours.toFixed(2)}h downtime.`);
}
}
// --- Compute KPI Metrics ---
const failures = this.kpi.failures;
const downtime = this.kpi.totalDowntimeHours;
// If no failures yet: MTBF = total runtime; MTTR = 0
this.kpi.MTBF = failures > 0 ? runtime / failures : runtime;
this.kpi.MTTR = failures > 0 ? downtime / failures : 0;
// --- Compute Availability ---
const mtbf = this.kpi.MTBF ?? 0;
const mttr = this.kpi.MTTR ?? 0;
if (mtbf <= 0 && mttr <= 0) {
this.kpi.availability = 1; // Default: 100% if no data
} else {
const availability = mtbf / (mtbf + mttr);
this.kpi.availability = Math.min(1, Math.max(0, availability)); // clamp 01
}
this.logger.debug(
`KPI updated — MTBF: ${this.kpi.MTBF.toFixed(2)}h, MTTR: ${this.kpi.MTTR.toFixed(2)}h, ` +
`Availability: ${(this.kpi.availability * 100).toFixed(2)}%`
);
}
//////////////////////////////////////////////
calcDistanceFromPeak(currentEfficiency,peakEfficiency){
return Math.abs(currentEfficiency - peakEfficiency);
@@ -816,7 +643,7 @@ _handleStateChangeForKPI(newState) {
const {efficiencyCurve, peak, peakIndex, minEfficiency } = this.calcEfficiencyCurve(powerCurve, flowCurve);
// Calculate the normalized center of gravity
const NCog = (flowCurve.y[peakIndex] - this.predictFlow.currentFxyYMin) / (this.predictFlow.currentFxyYMax - this.predictFlow.currentFxyYMin);
const NCog = (flowCurve.y[peakIndex] - this.predictFlow.currentFxyYMin) / (this.predictFlow.currentFxyYMax - this.predictFlow.currentFxyYMin); //
//store in object for later retrieval
this.currentEfficiencyCurve = efficiencyCurve;
@@ -866,15 +693,38 @@ _handleStateChangeForKPI(newState) {
return { cPower, cFlow };
}
calcEfficiency(power, flow, variant) {
calcEfficiency(power,flow,variant) {
const pressureDiff = this.measurements.type('pressure').variant('measured').difference('Pa');
const g = gravity.getStandardGravity();
const temp = this.measurements.type('temperature').variant('measured').position('atEquipment').getCurrentValue('K');
const atmPressure = this.measurements.type('atmPressure').variant('measured').position('atEquipment').getCurrentValue('Pa');
console.log(`--------------------calc efficiency : Pressure diff:${pressureDiff},${temp}, ${g} `);
const rho = coolprop.PropsSI('D', 'T', temp, 'P', atmPressure, 'WasteWater');
this.logger.debug(`temp: ${temp} atmPressure : ${atmPressure} rho : ${rho} pressureDiff: ${pressureDiff?.value || 0}`);
const flowM3s = this.measurements.type('flow').variant('predicted').position('atEquipment').getCurrentValue('m3/s');
const powerWatt = this.measurements.type('power').variant('predicted').position('atEquipment').getCurrentValue('W');
this.logger.debug(`Flow : ${flowM3s} power: ${powerWatt}`);
if (power != 0 && flow != 0) {
// Calculate efficiency after measurements update
this.measurements.type("efficiency").variant(variant).position('atEquipment').value((flow / power));
} else {
this.measurements.type("efficiency").variant(variant).position('atEquipment').value(null);
}
const specificFlow = flow / power;
const specificEnergyConsumption = power / flow;
this.measurements.type("efficiency").variant(variant).position('atEquipment').value(specificFlow);
this.measurements.type("specificEnergyConsumption").variant(variant).position('atEquipment').value(specificEnergyConsumption);
if(pressureDiff?.value != null && flowM3s != null && powerWatt != null){
const meterPerBar = pressureDiff.value / rho * g;
const nHydraulicEfficiency = rho * g * flowM3s * (pressureDiff.value * meterPerBar ) / powerWatt;
this.measurements.type("nHydraulicEfficiency").variant(variant).position('atEquipment').value(nHydraulicEfficiency);
}
}
//change this to nhydrefficiency ?
return this.measurements.type("efficiency").variant(variant).position('atEquipment').getCurrentValue();
}
@@ -921,15 +771,8 @@ _handleStateChangeForKPI(newState) {
getOutput() {
// Improved output object generation
const output = {};
Object.entries(this.measurements.measurements).forEach(([type, variants]) => {
Object.entries(variants).forEach(([variant, positions]) => {
Object.entries(positions).forEach(([position, measurement]) => {
output[`${type}.${variant}.${position}`] = measurement.getCurrentValue();
});
});
});
const output = this.measurements.getFlattenedOutput();
//fill in the rest of the output object
output["state"] = this.state.getCurrentState();
@@ -940,13 +783,6 @@ _handleStateChangeForKPI(newState) {
output["cog"] = this.cog; // flow / power efficiency
output["NCog"] = this.NCog; // normalized cog
output["NCogPercent"] = Math.round(this.NCog * 100 * 100) / 100 ;
output["kpi_MTBF"] = this.kpi.MTBF;
output["kpi_MTTR"] = this.kpi.MTTR;
output["kpi_assetAvailability"] = Math.round(this.kpi.availability * 100 * 100) / 100;
output["kpi_totalFailuresCount"] = this.kpi.failures;
output["asset_tag_number"] = 'L001';
// output["asset_tag_number"] = this.assetTagNumber;
output["maintenanceTime"] = this.state.getMaintenanceTimeHours();
if(this.flowDrift != null){
@@ -962,21 +798,6 @@ _handleStateChangeForKPI(newState) {
output["effRelDistFromPeak"] = this.relDistFromPeak;
//this.logger.debug(`Output: ${JSON.stringify(output)}`);
/////////////////////////////////
// this._calculateAssetHealthIndex();
// output["assetHealthIndex"] = this.assetHealth.index;
this._calculateAssetHealthIndex();
output["assetHealthIndex"] = this.assetHealth.index;
// 0 = darkgreen, 1 = green, 2 = yellow, 3 = orange, 4 = red, 5 = darkred
// const healthColors = ["darkgreen", "green", "yellow", "orange", "red", "darkred"];
const healthColors = ["#006400", "#008000", "#FFFF00", "#FFA500", "#FF0000", "#8B0000"];
output["assetHealthColor"] = healthColors[this.assetHealth.index] || "unknown";
//////////////////////////
return output;
}
@@ -988,7 +809,7 @@ module.exports = Machine;
/*------------------- Testing -------------------*/
/*
//curve = require('C:/Users/zn375/.node-red/public/fallbackData.json');
curve = require('C:/Users/zn375/.node-red/public/fallbackData.json');
//import a child
const Child = require('../../measurement/src/specificClass');
@@ -1004,6 +825,7 @@ const PT1 = new Child(config={
},
functionality:{
softwareType:"measurement",
positionVsParent:"upstream",
},
asset:{
supplier:"Vega",
@@ -1025,6 +847,7 @@ const PT2 = new Child(config={
},
functionality:{
softwareType:"measurement",
positionVsParent:"upstream",
},
asset:{
supplier:"Vega",
@@ -1040,17 +863,18 @@ console.log(`Creating machine...`);
const machineConfig = {
general: {
name: "Hidrostal",
name: "Hydrostal",
logging: {
enabled: true,
logLevel: "debug",
}
},
asset: {
supplier: "Hidrostal",
supplier: "Hydrostal",
type: "pump",
category: "centrifugal",
model: "hidrostal-H05K-S03R", // Ensure this field is present.
model: "H05K-S03R+HGM1X-X280KO", // Ensure this field is present.
machineCurve: curve["machineCurves"]["Hydrostal"]["H05K-S03R+HGM1X-X280KO"],
}
}
@@ -1079,17 +903,18 @@ const machine = new Machine(machineConfig, stateConfig);
machine.logger.info(`Registering child...`);
machine.childRegistrationUtils.registerChild(PT1, "upstream");
machine.childRegistrationUtils.registerChild(PT2, "downstream");
/*
//feed curve to the machine class
//machine.updateCurve(curve["machineCurves"]["Hydrostal"]["H05K-S03R+HGM1X-X280KO"]);
PT1.logger.info(`Enable sim...`);
PT1.toggleSimulation();
PT2.logger.info(`Enable sim...`);
PT2.toggleSimulation();
*/
machine.getOutput();
//manual test
//machine.handleInput("parent", "execSequence", "startup");
/*
machine.measurements.type("pressure").variant("measured").position('upstream').value(-200);
machine.measurements.type("pressure").variant("measured").position('downstream').value(1000);
@@ -1099,8 +924,8 @@ const tickLoop = setInterval(changeInput,1000);
function changeInput(){
PT1.logger.info(`tick...`);
//PT1.tick();
//PT2.tick();
PT1.tick();
PT2.tick();
}
async function testingSequences(){