255 lines
9.4 KiB
HTML
255 lines
9.4 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Live Monitoring Dashboard</title>
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<script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
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<style>
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body {
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font-family: Arial, sans-serif;
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margin: 0;
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padding: 20px;
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}
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.plot-container {
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display: flex;
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flex-wrap: wrap;
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justify-content: center;
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gap: 20px;
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}
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.large-plot {
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width: 45%;
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height: 300px;
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}
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.small-plot {
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width: 22%;
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height: 200px;
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}
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h1 {
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text-align: center;
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}
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#puSelector {
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display: block;
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margin: 10px auto 20px auto;
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font-size: 16px;
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padding: 5px 10px;
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}
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#recordButton {
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background-color: #ff4444;
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color: white;
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border: none;
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padding: 10px 20px;
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font-size: 16px;
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cursor: pointer;
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border-radius: 5px;
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margin: 10px;
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}
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</style>
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</head>
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<body>
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<h1>Live Monitoring Dashboard</h1>
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<label for="puSelector" style="text-align:center; display:block;">Select PU:</label>
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<select id="puSelector">
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<option value="1">PU 1</option>
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<option value="2">PU 2</option>
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<option value="3">PU 3</option>
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</select>
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<button id="recordButton" onclick="toggleRecording()">Record</button>
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<div class="plot-container">
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<div id="flow-plot" class="large-plot"></div>
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<div id="pressure-plot" class="large-plot"></div>
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<div id="mv02-plot" class="small-plot"></div>
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<div id="mv03-plot" class="small-plot"></div>
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<div id="mv04-05-plot" class="small-plot"></div>
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<div id="mv06-plot" class="small-plot"></div>
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<div id="mv07-plot" class="small-plot"></div>
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<div id="mv08-plot" class="small-plot"></div>
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</div>
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<script>
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let isRecording = false;
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let recordedData = [];
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let recordingInterval;
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let csvFileName = '';
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async function toggleRecording() {
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const recordButton = document.getElementById('recordButton');
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if (!isRecording) {
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isRecording = true;
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recordButton.style.backgroundColor = '#ff0000';
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recordButton.textContent = 'Stop Recording';
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recordedData = [];
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csvFileName = `monitoring_data_${new Date().toISOString().replace(/[:.]/g, '-')}.csv`;
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startRecording();
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} else {
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isRecording = false;
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recordButton.style.backgroundColor = '#ff4444';
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recordButton.textContent = 'Record';
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stopRecording();
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}
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}
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function startRecording() {
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recordingInterval = setInterval(async () => {
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const response = await fetch(`/monitor?pu_number=${document.getElementById('puSelector').value}`);
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if (!response.ok) {
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console.error(`HTTP error! status: ${response.status}`);
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return;
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}
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const pu = await response.json();
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recordedData.push({
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timestamp: new Date().toISOString(),
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Qperm: pu.Qperm,
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Qdilute: pu.Qdilute,
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Qdrain: pu.Qdrain,
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Qrecirc: pu.Qrecirc,
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Pro: pu.Pro,
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Pdilute: pu.Pdilute,
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Prentate: pu.Prentate,
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MV02: pu.MV02,
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MV03: pu.MV03,
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MV04: pu.MV04,
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MV05: pu.MV05,
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MV06: pu.MV06,
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MV07: pu.MV07,
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MV08: pu.MV08
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});
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}, 100);
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}
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async function stopRecording() {
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clearInterval(recordingInterval);
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if (recordedData.length > 0) {
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const csvContent = "data:text/csv;charset=utf-8," +
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"Timestamp,Qperm,Qdilute,Qdrain,Qrecirc,Pro,Pdilute,Prentate,MV02,MV03,MV04,MV05,MV06,MV07,MV08\n" +
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recordedData.map(row =>
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`${row.timestamp},${row.Qperm},${row.Qdilute},${row.Qdrain},${row.Qrecirc},${row.Pro},${row.Pdilute},${row.Prentate},${row.MV02},${row.MV03},${row.MV04},${row.MV05},${row.MV06},${row.MV07},${row.MV08}`
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).join("\n");
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const encodedUri = encodeURI(csvContent);
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const link = document.createElement("a");
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link.setAttribute("href", encodedUri);
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link.setAttribute("download", csvFileName);
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document.body.appendChild(link);
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link.click();
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}
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}
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window.onbeforeunload = function() {
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if (isRecording) {
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stopRecording();
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}
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};
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// Existing plot initialization and update functions
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const maxPoints = 100;
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const time = () => new Date();
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let selectedPU = 1;
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document.getElementById("puSelector").addEventListener("change", function () {
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selectedPU = parseInt(this.value);
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});
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function getLastMinuteRange() {
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const now = new Date();
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const oneMinuteAgo = new Date(now.getTime() - 60 * 1000);
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return [oneMinuteAgo, now];
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}
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async function updatePlots() {
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try {
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const response = await fetch(`/monitor?pu_number=${selectedPU}`);
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if (!response.ok) throw new Error(`HTTP error! status: ${response.status}`);
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const pu = await response.json();
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const t = time();
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Plotly.extendTraces('flow-plot', {
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x: [[t], [t], [t], [t]],
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y: [[pu.Qperm], [pu.Qdilute], [pu.Qdrain], [pu.Qrecirc]]
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}, [0, 1, 2, 3], maxPoints);
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Plotly.extendTraces('pressure-plot', {
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x: [[t], [t], [t]],
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y: [[pu.Pro], [pu.Pdilute], [pu.Prentate]]
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}, [0, 1, 2], maxPoints);
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//
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// Plotly.extendTraces('mv02-plot', { x: [[t]], y: [[pu.MV02]] }, [0]);
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// Plotly.extendTraces('mv03-plot', { x: [[t]], y: [[pu.MV03]] }, [0]);
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// Plotly.extendTraces('mv04-05-plot', {
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// x: [[t], [t]],
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// y: [[pu.MV04], [pu.MV05]]
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// }, [0, 1]);
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// Plotly.extendTraces('mv06-plot', { x: [[t]], y: [[pu.MV06]] }, [0]);
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// Plotly.extendTraces('mv07-plot', { x: [[t]], y: [[pu.MV07]] }, [0]);
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// Plotly.extendTraces('mv08-plot', { x: [[t]], y: [[pu.MV08]] }, [0]);
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const range = getLastMinuteRange();
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const plotIds = [
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'flow-plot', 'pressure-plot', 'mv02-plot', 'mv03-plot',
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'mv04-05-plot', 'mv06-plot', 'mv07-plot', 'mv08-plot'
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];
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plotIds.forEach(id => {
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Plotly.relayout(id, { 'xaxis.range': range });
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});
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} catch (error) {
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console.error("Error updating plots:", error);
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}
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}
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function initPlots() {
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const time0 = [time()];
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Plotly.newPlot('flow-plot', [
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{ x: time0, y: [0], name: 'Qperm', mode: 'lines', line: { color: 'blue' } },
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{ x: time0, y: [0], name: 'Qdilute', mode: 'lines', line: { color: 'green' } },
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{ x: time0, y: [0], name: 'Qdrain', mode: 'lines', line: { color: 'red' } },
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{ x: time0, y: [0], name: 'Qrecirc', mode: 'lines', line: { color: 'orange' } }
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], {
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title: 'Flow Rates Over Time',
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xaxis: { title: 'Time', type: 'date' },
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yaxis: { title: 'Flow (L/h)', range: [0, 2000] }
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});
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Plotly.newPlot('pressure-plot', [
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{ x: time0, y: [0], name: 'Pro', mode: 'lines', line: { color: 'purple' } },
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{ x: time0, y: [0], name: 'Pdilute', mode: 'lines', line: { color: 'teal' } },
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{ x: time0, y: [0], name: 'Prentate', mode: 'lines', line: { color: 'gray' } }
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], {
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title: 'Pressure Over Time',
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xaxis: { title: 'Time', type: 'date' },
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yaxis: { title: 'Pressure (bar)', range: [0, 15] }
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});
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// Plotly.newPlot('mv02-plot', [{
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// x: time0, y: [0], name: 'MV02', mode: 'lines'
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// }], {
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// title: 'MV02 (%)', yaxis: { range: [0, 100] }, xaxis: { type: 'date' }
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// });
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// Plotly.newPlot('mv03-plot', [{
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// x: time0, y: [0], name: 'MV03', mode: 'lines'
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// }], {
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// title: 'MV03 (%)', yaxis: { range: [0, 100] }, xaxis: { type: 'date' }
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// });
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// Plotly.newPlot('mv04-05-plot', [
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// { x: time0, y: [0], name: 'MV04', mode: 'lines' },
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// { x: time0, y: [0], name: 'MV05', mode: 'lines' }
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// ], {
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// title: 'MV04 + MV05 (%)', yaxis: { range: [0, 100] }, xaxis: { type: 'date' }
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// });
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// Plotly.newPlot('mv06-plot', [{
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// x: time0, y: [0], name: 'MV06', mode: 'lines'
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// }], {
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// title: 'MV06 (%)', yaxis: { range: [0, 100] }, xaxis: { type: 'date' }
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// });
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// Plotly.newPlot('mv07-plot', [{
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// x: time0, y: [0], name: 'MV07', mode: 'lines'
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// }], {
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// title: 'MV07 (%)', yaxis: { range: [0, 100] }, xaxis: { type: 'date' }
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// });
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// Plotly.newPlot('mv08-plot', [{
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// x: time0, y: [0], name: 'MV08', mode: 'lines'
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// }], {
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// title: 'MV08 (%)', yaxis: { range: [0, 100] }, xaxis: { type: 'date' }
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// });
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setInterval(updatePlots, 1000);
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}
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window.onload = initPlots;
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</script>
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</body>
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</html>
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