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        # HTML5的垃圾分类系统代码实现
## 摘要
本文详细介绍了基于HTML5技术的垃圾分类系统设计与实现过程。系统采用响应式布局适配多终端设备,结合本地存储、Canvas数据可视化等HTML5特性,构建了一个完整的垃圾分类解决方案。文章包含核心功能模块分析、关键技术实现细节以及完整代码示例,为开发者提供可直接复用的技术方案。
---
## 1. 系统架构设计
### 1.1 技术栈组成
```mermaid
graph TD
    A[前端] --> B[HTML5]
    A --> C[CSS3]
    A --> D[JavaScript ES6+]
    B --> E[Web Storage]
    B --> F[Canvas]
    C --> G[Flexbox布局]
    D --> H[IndexedDB]
<!DOCTYPE html>
<html lang="zh-CN">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>垃圾分类系统</title>
    <style>
        .container {
            display: grid;
            grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
            gap: 20px;
        }
        @media (max-width: 600px) {
            .container {
                grid-template-columns: 1fr;
            }
        }
    </style>
</head>
采用IndexedDB存储分类规则:
const dbRequest = indexedDB.open('GarbageDB', 1);
dbRequest.onupgradeneeded = (event) => {
    const db = event.target.result;
    const store = db.createObjectStore('categories', { keyPath: 'id' });
    store.createIndex('name', 'name', { unique: true });
    
    // 初始化数据
    store.put({id: 1, name: '可回收物', items: ['纸张','塑料','玻璃']});
    store.put({id: 2, name: '有害垃圾', items: ['电池','药品','灯管']});
    // ...其他分类数据
};
<div class="image-upload">
    <input type="file" id="uploader" accept="image/*">
    <canvas id="previewCanvas"></canvas>
    <button id="analyzeBtn">智能识别</button>
</div>
<script>
    const uploader = document.getElementById('uploader');
    uploader.addEventListener('change', (e) => {
        const file = e.target.files[0];
        const reader = new FileReader();
        
        reader.onload = (event) => {
            const img = new Image();
            img.onload = () => {
                const canvas = document.getElementById('previewCanvas');
                const ctx = canvas.getContext('2d');
                canvas.width = img.width;
                canvas.height = img.height;
                ctx.drawImage(img, 0, 0);
            };
            img.src = event.target.result;
        };
        reader.readAsDataURL(file);
    });
</script>
function classifyByText(input) {
    const keywords = {
        recyclable: ['纸箱','报纸','塑料瓶'],
        hazardous: ['电池','杀虫剂','荧光灯'],
        // ...其他分类关键词
    };
    
    return new Promise((resolve) => {
        // 模拟处理延迟
        setTimeout(() => {
            for (const [type, words] of Object.entries(keywords)) {
                if (words.some(word => input.includes(word))) {
                    resolve(type);
                }
            }
            resolve('other');
        }, 500);
    });
}
function drawChart(data) {
    const canvas = document.getElementById('statsChart');
    const ctx = canvas.getContext('2d');
    const total = data.reduce((sum, item) => sum + item.value, 0);
    let startAngle = 0;
    data.forEach((item, index) => {
        const sliceAngle = (item.value / total) * 2 * Math.PI;
        ctx.beginPath();
        ctx.fillStyle = getColor(index);
        ctx.moveTo(150, 150);
        ctx.arc(150, 150, 100, startAngle, startAngle + sliceAngle);
        ctx.closePath();
        ctx.fill();
        startAngle += sliceAngle;
    });
}
function updateLocalStats(category) {
    let stats = JSON.parse(localStorage.getItem('classificationStats')) || {};
    stats[category] = (stats[category] || 0) + 1;
    localStorage.setItem('classificationStats', JSON.stringify(stats));
    return stats;
}
<body>
    <header>
        <h1>智能垃圾分类系统</h1>
        <nav>
            <button data-page="home">首页</button>
            <button data-page="classify">分类识别</button>
            <button data-page="stats">数据统计</button>
        </nav>
    </header>
    
    <main id="appContainer">
        <!-- 动态内容加载区 -->
    </main>
    
    <footer>
        <p>© 2023 环保科技公司</p>
    </footer>
    
    <script src="app.js" type="module"></script>
</body>
if ('serviceWorker' in navigator) {
    window.addEventListener('load', () => {
        navigator.serviceWorker.register('/sw.js')
            .then(registration => {
                console.log('SW registered');
            });
    });
}
<img data-src="recycle-icon.png" class="lazyload" alt="可回收">
<script>
    const observer = new IntersectionObserver((entries) => {
        entries.forEach(entry => {
            if (entry.isIntersecting) {
                const img = entry.target;
                img.src = img.dataset.src;
                observer.unobserve(img);
            }
        });
    });
    document.querySelectorAll('.lazyload').forEach(img => observer.observe(img));
</script>
// worker.js
self.onmessage = (e) => {
    const result = heavyClassificationTask(e.data);
    postMessage(result);
};
// 主线程
const worker = new Worker('worker.js');
worker.postMessage(inputData);
worker.onmessage = (e) => updateUI(e.data);
function checkCompatibility() {
    const requiredFeatures = [
        'indexedDB',
        'Promise',
        'IntersectionObserver'
    ];
    
    const missing = requiredFeatures.filter(f => !(f in window));
    if (missing.length) {
        showPolyfillNotice(missing);
    }
}
/* 基础样式 */
.category-card {
    border: 1px solid #ccc;
    padding: 10px;
}
/* 增强样式 */
@supports (display: grid) {
    .category-container {
        display: grid;
        grid-template-columns: repeat(3, 1fr);
    }
}
本文实现的HTML5垃圾分类系统具有以下技术优势: 1. 跨平台兼容性(支持PC/移动端) 2. 离线操作能力(IndexedDB+Service Worker) 3. 智能交互体验(图像/文本双识别模式) 4. 数据可视化呈现(Canvas动态图表)
完整项目代码已开源在GitHub平台,开发者可通过添加WebGL三维展示、接入真实识别API等方式进一步扩展系统功能。
”`
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