做一个用于故障预警的网页,最上面是一个传感器指标的折线图,放一些虚拟的数据,并且在outlier点标注出来。下面是一个表格,也放一些虚拟的数据。要求美观,必要时候可以借鉴echats
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README.md
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title: Faulty Whistle Sensor Vigilante
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sdk: static
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pinned: false
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---
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---
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title: Faulty Whistle - Sensor Vigilante
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colorFrom: green
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colorTo: purple
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emoji: 🐳
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sdk: static
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pinned: false
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tags:
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- deepsite-v3
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---
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# Welcome to your new DeepSite project!
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This project was created with [DeepSite](https://huggingface.co/deepsite).
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index.html
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<!
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<html>
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<!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>Faulty Whistle - Sensor Monitoring</title>
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<link rel="stylesheet" href="style.css">
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<script src="https://cdn.tailwindcss.com"></script>
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<script src="https://cdn.jsdelivr.net/npm/echarts@5.4.3/dist/echarts.min.js"></script>
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<script src="https://cdn.jsdelivr.net/npm/feather-icons/dist/feather.min.js"></script>
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<script src="https://unpkg.com/feather-icons"></script>
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</head>
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<body class="bg-gray-50">
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<div class="min-h-screen flex flex-col">
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<!-- Header -->
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<header class="bg-indigo-600 text-white shadow-lg">
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<div class="container mx-auto px-4 py-6">
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<div class="flex justify-between items-center">
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<div class="flex items-center space-x-3">
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<i data-feather="alert-triangle" class="w-8 h-8"></i>
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<h1 class="text-2xl font-bold">Faulty Whistle</h1>
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</div>
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<div class="flex items-center space-x-4">
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<span class="bg-indigo-500 px-3 py-1 rounded-full text-sm">Live Monitoring</span>
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<button class="bg-white text-indigo-600 px-4 py-2 rounded-lg font-medium hover:bg-indigo-50 transition">
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<i data-feather="bell" class="inline mr-2"></i> Alerts
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</button>
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</div>
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</div>
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</div>
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</header>
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<!-- Main Content -->
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<main class="flex-grow container mx-auto px-4 py-8">
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<!-- Chart Section -->
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<section class="mb-12 bg-white rounded-xl shadow-md overflow-hidden">
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<div class="p-6 border-b border-gray-200">
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<h2 class="text-xl font-semibold text-gray-800 flex items-center">
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<i data-feather="activity" class="mr-2 text-indigo-500"></i>
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Sensor Metrics Overview
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</h2>
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<p class="text-gray-500 mt-1">Real-time monitoring with anomaly detection</p>
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</div>
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<div id="chartContainer" class="w-full h-96 p-4"></div>
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</section>
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<!-- Table Section -->
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<section class="bg-white rounded-xl shadow-md overflow-hidden">
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<div class="p-6 border-b border-gray-200">
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<h2 class="text-xl font-semibold text-gray-800 flex items-center">
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<i data-feather="database" class="mr-2 text-indigo-500"></i>
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Recent Anomalies
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</h2>
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<p class="text-gray-500 mt-1">Last 24 hours of detected issues</p>
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</div>
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<div class="overflow-x-auto">
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<table class="min-w-full divide-y divide-gray-200">
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<thead class="bg-gray-50">
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<tr>
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<th scope="col" class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Sensor ID</th>
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<th scope="col" class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Metric</th>
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<th scope="col" class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Value</th>
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<th scope="col" class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Threshold</th>
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<th scope="col" class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Timestamp</th>
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<th scope="col" class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Status</th>
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</tr>
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</thead>
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<tbody class="bg-white divide-y divide-gray-200" id="anomalyTable">
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<!-- Table rows will be populated by JavaScript -->
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</tbody>
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</table>
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</div>
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<div class="px-6 py-4 bg-gray-50 border-t border-gray-200 flex items-center justify-between">
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<div class="text-sm text-gray-500">
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Showing <span class="font-medium">1</span> to <span class="font-medium">5</span> of <span class="font-medium">12</span> anomalies
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</div>
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<div class="flex space-x-2">
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<button class="px-3 py-1 border border-gray-300 rounded-md text-sm font-medium text-gray-700 bg-white hover:bg-gray-50">
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Previous
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</button>
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<button class="px-3 py-1 border border-indigo-500 rounded-md text-sm font-medium text-white bg-indigo-600 hover:bg-indigo-700">
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Next
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</button>
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</div>
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</div>
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</section>
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</main>
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<!-- Footer -->
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<footer class="bg-gray-800 text-white py-6">
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<div class="container mx-auto px-4">
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<div class="flex flex-col md:flex-row justify-between items-center">
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<div class="mb-4 md:mb-0">
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<p class="text-gray-300">© 2023 Faulty Whistle Monitoring System</p>
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</div>
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<div class="flex space-x-6">
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<a href="#" class="text-gray-300 hover:text-white transition">
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<i data-feather="github"></i>
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</a>
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<a href="#" class="text-gray-300 hover:text-white transition">
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<i data-feather="twitter"></i>
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</a>
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<a href="#" class="text-gray-300 hover:text-white transition">
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<i data-feather="linkedin"></i>
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</a>
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</div>
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</div>
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</div>
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</footer>
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</div>
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<script src="script.js"></script>
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<script>feather.replace();</script>
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<script src="https://huggingface.co/deepsite/deepsite-badge.js"></script>
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</body>
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</html>
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script.js
ADDED
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document.addEventListener('DOMContentLoaded', function() {
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// Initialize chart
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| 3 |
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const chartDom = document.getElementById('chartContainer');
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const myChart = echarts.init(chartDom);
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| 5 |
+
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// Generate sample data with outliers
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| 7 |
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const hours = Array.from({length: 24}, (_, i) => `${i}:00`);
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const temperatureData = Array.from({length: 24}, () => Math.floor(Math.random() * 10) + 20);
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// Add some outliers
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temperatureData[5] = 35;
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temperatureData[12] = 5;
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temperatureData[18] = 38;
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const markPoints = [
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{ name: 'High Temp', value: '35°C', xAxis: 5, yAxis: 35, itemStyle: { color: '#ef4444' } },
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| 16 |
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{ name: 'Low Temp', value: '5°C', xAxis: 12, yAxis: 5, itemStyle: { color: '#3b82f6' } },
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| 17 |
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{ name: 'High Temp', value: '38°C', xAxis: 18, yAxis: 38, itemStyle: { color: '#ef4444' } }
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| 18 |
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];
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| 19 |
+
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| 20 |
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// Chart configuration
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| 21 |
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const option = {
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| 22 |
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tooltip: {
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| 23 |
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trigger: 'axis',
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| 24 |
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formatter: '{b}<br/>{a0}: {c0}°C'
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| 25 |
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},
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| 26 |
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legend: {
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| 27 |
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data: ['Temperature'],
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| 28 |
+
right: 10,
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| 29 |
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top: 0
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| 30 |
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},
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| 31 |
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grid: {
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| 32 |
+
left: '3%',
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| 33 |
+
right: '4%',
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| 34 |
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bottom: '3%',
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| 35 |
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containLabel: true
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| 36 |
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},
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| 37 |
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xAxis: {
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| 38 |
+
type: 'category',
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| 39 |
+
boundaryGap: false,
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| 40 |
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data: hours,
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| 41 |
+
axisLine: {
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| 42 |
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lineStyle: {
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| 43 |
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color: '#9ca3af'
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| 44 |
+
}
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| 45 |
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},
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| 46 |
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axisLabel: {
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| 47 |
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color: '#6b7280'
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| 48 |
+
}
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| 49 |
+
},
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| 50 |
+
yAxis: {
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| 51 |
+
type: 'value',
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| 52 |
+
name: 'Temperature (°C)',
|
| 53 |
+
axisLine: {
|
| 54 |
+
show: true,
|
| 55 |
+
lineStyle: {
|
| 56 |
+
color: '#9ca3af'
|
| 57 |
+
}
|
| 58 |
+
},
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| 59 |
+
axisLabel: {
|
| 60 |
+
color: '#6b7280',
|
| 61 |
+
formatter: '{value}°C'
|
| 62 |
+
},
|
| 63 |
+
splitLine: {
|
| 64 |
+
lineStyle: {
|
| 65 |
+
color: '#e5e7eb'
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| 66 |
+
}
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| 67 |
+
}
|
| 68 |
+
},
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| 69 |
+
series: [
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| 70 |
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{
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| 71 |
+
name: 'Temperature',
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| 72 |
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type: 'line',
|
| 73 |
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data: temperatureData,
|
| 74 |
+
smooth: true,
|
| 75 |
+
lineStyle: {
|
| 76 |
+
width: 3,
|
| 77 |
+
color: '#6366f1'
|
| 78 |
+
},
|
| 79 |
+
itemStyle: {
|
| 80 |
+
color: '#6366f1'
|
| 81 |
+
},
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| 82 |
+
areaStyle: {
|
| 83 |
+
color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [
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| 84 |
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{ offset: 0, color: 'rgba(99, 102, 241, 0.3)' },
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| 85 |
+
{ offset: 1, color: 'rgba(99, 102, 241, 0.1)' }
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| 86 |
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])
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| 87 |
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},
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| 88 |
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markPoint: {
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| 89 |
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data: markPoints,
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| 90 |
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symbol: 'circle',
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| 91 |
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symbolSize: 10,
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| 92 |
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label: {
|
| 93 |
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show: true,
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| 94 |
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formatter: '{b}',
|
| 95 |
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position: 'top',
|
| 96 |
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color: '#fff',
|
| 97 |
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backgroundColor: 'rgba(0,0,0,0.7)',
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| 98 |
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padding: [3, 5],
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| 99 |
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borderRadius: 4
|
| 100 |
+
}
|
| 101 |
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}
|
| 102 |
+
}
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| 103 |
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]
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| 104 |
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};
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| 105 |
+
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| 106 |
+
myChart.setOption(option);
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| 107 |
+
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| 108 |
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// Handle window resize
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| 109 |
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window.addEventListener('resize', function() {
|
| 110 |
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myChart.resize();
|
| 111 |
+
});
|
| 112 |
+
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| 113 |
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// Populate table with sample data
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| 114 |
+
const anomalyData = [
|
| 115 |
+
{ id: 'S-001', metric: 'Temperature', value: '35°C', threshold: '30°C', timestamp: '2023-06-15 05:12:34', status: 'critical' },
|
| 116 |
+
{ id: 'S-002', metric: 'Pressure', value: '12.5 bar', threshold: '10 bar', timestamp: '2023-06-15 08:45:21', status: 'warning' },
|
| 117 |
+
{ id: 'S-003', metric: 'Vibration', value: '0.85 mm/s', threshold: '0.5 mm/s', timestamp: '2023-06-15 11:23:56', status: 'warning' },
|
| 118 |
+
{ id: 'S-001', metric: 'Temperature', value: '5°C', threshold: '10°C', timestamp: '2023-06-15 12:34:12', status: 'critical' },
|
| 119 |
+
{ id: 'S-004', metric: 'Humidity', value: '92%', threshold: '85%', timestamp: '2023-06-15 18:05:43', status: 'warning' }
|
| 120 |
+
];
|
| 121 |
+
|
| 122 |
+
const tableBody = document.getElementById('anomalyTable');
|
| 123 |
+
|
| 124 |
+
anomalyData.forEach(item => {
|
| 125 |
+
const row = document.createElement('tr');
|
| 126 |
+
|
| 127 |
+
let statusClass = 'status-warning';
|
| 128 |
+
let statusText = 'Warning';
|
| 129 |
+
if (item.status === 'critical') {
|
| 130 |
+
statusClass = 'status-critical';
|
| 131 |
+
statusText = 'Critical';
|
| 132 |
+
}
|
| 133 |
+
|
| 134 |
+
row.innerHTML = `
|
| 135 |
+
<td class="px-6 py-4 whitespace-nowrap text-sm font-medium text-gray-900">${item.id}</td>
|
| 136 |
+
<td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">${item.metric}</td>
|
| 137 |
+
<td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500 font-semibold">${item.value}</td>
|
| 138 |
+
<td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">${item.threshold}</td>
|
| 139 |
+
<td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">${item.timestamp}</td>
|
| 140 |
+
<td class="px-6 py-4 whitespace-nowrap">
|
| 141 |
+
<span class="${statusClass}">${statusText}</span>
|
| 142 |
+
</td>
|
| 143 |
+
`;
|
| 144 |
+
|
| 145 |
+
tableBody.appendChild(row);
|
| 146 |
+
});
|
| 147 |
+
});
|
style.css
CHANGED
|
@@ -1,28 +1,63 @@
|
|
|
|
|
|
|
|
|
|
|
| 1 |
body {
|
| 2 |
-
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 4 |
}
|
| 5 |
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
margin-top: 0;
|
| 9 |
}
|
| 10 |
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
|
| 14 |
-
margin-bottom: 10px;
|
| 15 |
-
margin-top: 5px;
|
| 16 |
}
|
| 17 |
|
| 18 |
-
.
|
| 19 |
-
|
| 20 |
-
margin: 0 auto;
|
| 21 |
-
padding: 16px;
|
| 22 |
-
border: 1px solid lightgray;
|
| 23 |
-
border-radius: 16px;
|
| 24 |
}
|
| 25 |
|
| 26 |
-
.
|
| 27 |
-
|
| 28 |
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
/* Custom styles that complement Tailwind */
|
| 2 |
+
@import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap');
|
| 3 |
+
|
| 4 |
body {
|
| 5 |
+
font-family: 'Inter', sans-serif;
|
| 6 |
+
}
|
| 7 |
+
|
| 8 |
+
/* Custom scrollbar */
|
| 9 |
+
::-webkit-scrollbar {
|
| 10 |
+
width: 8px;
|
| 11 |
+
height: 8px;
|
| 12 |
+
}
|
| 13 |
+
|
| 14 |
+
::-webkit-scrollbar-track {
|
| 15 |
+
background: #f1f1f1;
|
| 16 |
+
border-radius: 10px;
|
| 17 |
+
}
|
| 18 |
+
|
| 19 |
+
::-webkit-scrollbar-thumb {
|
| 20 |
+
background: #888;
|
| 21 |
+
border-radius: 10px;
|
| 22 |
+
}
|
| 23 |
+
|
| 24 |
+
::-webkit-scrollbar-thumb:hover {
|
| 25 |
+
background: #555;
|
| 26 |
+
}
|
| 27 |
+
|
| 28 |
+
/* Chart container responsive behavior */
|
| 29 |
+
#chartContainer {
|
| 30 |
+
min-height: 400px;
|
| 31 |
+
}
|
| 32 |
+
|
| 33 |
+
@media (max-width: 768px) {
|
| 34 |
+
#chartContainer {
|
| 35 |
+
height: 300px;
|
| 36 |
+
}
|
| 37 |
+
}
|
| 38 |
+
|
| 39 |
+
/* Table row hover effect */
|
| 40 |
+
tbody tr {
|
| 41 |
+
transition: background-color 0.2s ease;
|
| 42 |
}
|
| 43 |
|
| 44 |
+
tbody tr:hover {
|
| 45 |
+
background-color: #f9fafb;
|
|
|
|
| 46 |
}
|
| 47 |
|
| 48 |
+
/* Status badges */
|
| 49 |
+
.status-badge {
|
| 50 |
+
@apply inline-flex items-center px-3 py-1 rounded-full text-xs font-medium;
|
|
|
|
|
|
|
| 51 |
}
|
| 52 |
|
| 53 |
+
.status-critical {
|
| 54 |
+
@apply bg-red-100 text-red-800;
|
|
|
|
|
|
|
|
|
|
|
|
|
| 55 |
}
|
| 56 |
|
| 57 |
+
.status-warning {
|
| 58 |
+
@apply bg-yellow-100 text-yellow-800;
|
| 59 |
}
|
| 60 |
+
|
| 61 |
+
.status-normal {
|
| 62 |
+
@apply bg-green-100 text-green-800;
|
| 63 |
+
}
|