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edcffade75
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edcffade75 |
@@ -333,42 +333,71 @@ class MachineGroup {
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calcBestCombination(combinations, Qd) {
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let bestCombination = null;
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//keep track of totals
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let bestPower = Infinity;
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let bestFlow = 0;
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let bestCog = 0;
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combinations.forEach(combination => {
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let flowDistribution = []; // Stores the flow distribution for the best combination
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combinations.forEach(combination => {
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let flowDistribution = [];
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let totalCoG = 0;
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let totalPower = 0;
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let totalFlow = 0;
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// Calculate the total CoG for the current combination
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combination.forEach(machineId => { totalCoG += ( Math.round(this.machines[machineId].NCog * 100 ) /100 ) ; });
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// Calculate the total power for the current combination
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// Sum normalized CoG for the combination
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combination.forEach(machineId => {
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let flow = 0;
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// Prevent division by zero
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if (totalCoG === 0) {
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// Distribute flow equally among all pumps
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flow = Qd / combination.length;
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} else {
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// Normal CoG-based distribution
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flow = (this.machines[machineId].NCog / totalCoG) * Qd ;
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this.logger.debug(`Machine Normalized CoG-based distribution ${machineId} flow: ${flow}`);
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}
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totalFlow += flow;
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totalPower += this.machines[machineId].inputFlowCalcPower(flow);
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flowDistribution.push({ machineId: machineId,flow: flow });
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totalCoG += Math.round((this.machines[machineId].NCog || 0) * 100) / 100;
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});
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// Initial CoG-based distribution
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combination.forEach(machineId => {
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let flow = 0;
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if (totalCoG === 0) {
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flow = Qd / combination.length;
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} else {
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flow = ((this.machines[machineId].NCog || 0) / totalCoG) * Qd;
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this.logger.debug(`Machine Normalized CoG-based distribution ${machineId} flow: ${flow}`);
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}
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flowDistribution.push({ machineId, flow });
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});
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// Clamp to min/max and spill leftover once
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const clamped = flowDistribution.map(entry => {
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const machine = this.machines[entry.machineId];
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const min = machine.predictFlow.currentFxyYMin;
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const max = machine.predictFlow.currentFxyYMax;
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const clampedFlow = Math.min(max, Math.max(min, entry.flow));
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return { ...entry, flow: clampedFlow, min, max, desired: entry.flow };
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});
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let remainder = Qd - clamped.reduce((sum, entry) => sum + entry.flow, 0);
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if (Math.abs(remainder) > 1e-6) {
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const adjustable = clamped.filter(entry =>
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remainder > 0 ? entry.flow < entry.max : entry.flow > entry.min
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);
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const weightSum = adjustable.reduce((sum, entry) => sum + entry.desired, 0) || adjustable.length;
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adjustable.forEach(entry => {
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const weight = entry.desired / weightSum || 1 / adjustable.length;
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const delta = remainder * weight;
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const next = remainder > 0
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? Math.min(entry.max, entry.flow + delta)
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: Math.max(entry.min, entry.flow + delta);
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remainder -= (next - entry.flow);
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entry.flow = next;
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});
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}
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flowDistribution = clamped;
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let totalFlow = 0;
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flowDistribution.forEach(({ machineId, flow }) => {
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totalFlow += flow;
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totalPower += this.machines[machineId].inputFlowCalcPower(flow);
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});
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// Update the best combination if the current one is better
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if (totalPower < bestPower) {
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this.logger.debug(`New best combination found: ${totalPower} < ${bestPower}`);
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this.logger.debug(`combination ${JSON.stringify(flowDistribution)}`);
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@@ -382,6 +411,7 @@ class MachineGroup {
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return { bestCombination, bestPower, bestFlow, bestCog };
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}
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// -------- Mode and Input Management -------- //
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isValidActionForMode(action, mode) {
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const allowedActionsSet = this.config.mode.allowedActions[mode] || [];
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