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<link rel="alternate" hreflang="en-us" href="https://iotdb.apache.org/UserGuide/latest/IoTDB-Introduction/Scenario.html"><meta property="og:url" content="https://iotdb.apache.org/zh/UserGuide/latest/IoTDB-Introduction/Scenario.html"><meta property="og:site_name" content="IoTDB Website"><meta property="og:title" content="应用场景"><meta property="og:description" content="应用1——车联网 背景 - 难点：设备多，序列多 某车企业务体量庞大，需处理车辆多、数据量大，亿级数据测点，每秒超千万条新增数据点，毫秒级采集频率，对数据库的实时写入、存储与处理能力均要求较高。 原始架构中使用Hbase集群作为存储数据库，查询延迟高，系统维护难度和成本高。难以满足需求。而IoTDB支持百万级测点数高频数据写入和查询毫秒级响应，高效的数..."><meta property="og:type" content="article"><meta property="og:locale" content="zh-CN"><meta property="og:locale:alternate" content="en-US"><meta property="og:updated_time" content="2024-03-28T06:33:16.000Z"><meta property="article:modified_time" content="2024-03-28T06:33:16.000Z"><script type="application/ld+json">{"@context":"https://schema.org","@type":"Article","headline":"应用场景","image":[""],"dateModified":"2024-03-28T06:33:16.000Z","author":[]}</script><link rel="icon" href="/favicon.ico"><meta name="Description" content="Apache IoTDB: Time Series Database for IoT"><meta name="Keywords" content="TSDB, time series, time series database, IoTDB, IoT database, IoT data management,时序数据库, 时间序列管理, IoTDB, 物联网数据库, 实时数据库, 物联网数据管理, 物联网数据"><meta name="baidu-site-verification" content="wfKETzB3OT"><meta name="google-site-verification" content="mZWAoRY0yj_HAr-s47zHCGHzx5Ju-RVm5wDbPnwQYFo"><script type="text/javascript">
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</script><title>应用场景 | IoTDB Website</title><meta name="description" content="应用1——车联网 背景 - 难点：设备多，序列多 某车企业务体量庞大，需处理车辆多、数据量大，亿级数据测点，每秒超千万条新增数据点，毫秒级采集频率，对数据库的实时写入、存储与处理能力均要求较高。 原始架构中使用Hbase集群作为存储数据库，查询延迟高，系统维护难度和成本高。难以满足需求。而IoTDB支持百万级测点数高频数据写入和查询毫秒级响应，高效的数...">
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class="vp-sidebar-sub-headers"></ul></li></ul></li><li class="vp-sidebar-sub-header"><a aria-label="应用4——工况监控" class="vp-link nav-link vp-sidebar-link vp-heading nav-link vp-sidebar-link vp-heading" href="/zh/UserGuide/latest/IoTDB-Introduction/Scenario.html#应用4——工况监控"><!---->应用4——工况监控<!----></a><ul class="vp-sidebar-sub-headers"><li class="vp-sidebar-sub-header"><a aria-label="背景" class="vp-link nav-link vp-sidebar-link vp-heading nav-link vp-sidebar-link vp-heading" href="/zh/UserGuide/latest/IoTDB-Introduction/Scenario.html#背景-3"><!---->背景<!----></a><ul class="vp-sidebar-sub-headers"></ul></li><li class="vp-sidebar-sub-header"><a aria-label="架构" class="vp-link nav-link vp-sidebar-link vp-heading nav-link vp-sidebar-link vp-heading" href="/zh/UserGuide/latest/IoTDB-Introduction/Scenario.html#架构-3"><!---->架构<!----></a><ul class="vp-sidebar-sub-headers"></ul></li></ul></li></ul><!--]--></li><li><!--[--><a aria-label="研究论文" class="vp-link nav-link vp-sidebar-link vp-sidebar-page nav-link vp-sidebar-link vp-sidebar-page" href="/zh/UserGuide/latest/IoTDB-Introduction/Publication.html"><!---->研究论文<!----></a><ul class="vp-sidebar-sub-headers"></ul><!--]--></li></ul></section></li><li><section class="vp-sidebar-group"><button class="vp-sidebar-heading clickable" type="button"><!----><span class="vp-sidebar-title">快速上手</span><span class="vp-arrow end"></span></button><!----></section></li><li><section class="vp-sidebar-group"><button class="vp-sidebar-heading clickable" type="button"><!----><span class="vp-sidebar-title">基础概念</span><span class="vp-arrow end"></span></button><!----></section></li><li><section class="vp-sidebar-group"><button class="vp-sidebar-heading clickable" type="button"><!----><span class="vp-sidebar-title">部署与运维</span><span class="vp-arrow end"></span></button><!----></section></li><li><section class="vp-sidebar-group"><button class="vp-sidebar-heading clickable" type="button"><!----><span class="vp-sidebar-title">使用手册</span><span class="vp-arrow end"></span></button><!----></section></li><li><section class="vp-sidebar-group"><button class="vp-sidebar-heading clickable" type="button"><!----><span class="vp-sidebar-title">工具体系</span><span class="vp-arrow end"></span></button><!----></section></li><li><section class="vp-sidebar-group"><button class="vp-sidebar-heading clickable" type="button"><!----><span class="vp-sidebar-title">应用编程接口</span><span class="vp-arrow end"></span></button><!----></section></li><li><section class="vp-sidebar-group"><button class="vp-sidebar-heading clickable" type="button"><!----><span class="vp-sidebar-title">系统集成</span><span class="vp-arrow end"></span></button><!----></section></li><li><section class="vp-sidebar-group"><button class="vp-sidebar-heading clickable" type="button"><!----><span class="vp-sidebar-title">SQL手册</span><span class="vp-arrow end"></span></button><!----></section></li><li><section class="vp-sidebar-group"><button class="vp-sidebar-heading clickable" type="button"><!----><span class="vp-sidebar-title">FAQ</span><span class="vp-arrow end"></span></button><!----></section></li><li><section class="vp-sidebar-group"><button class="vp-sidebar-heading clickable" type="button"><!----><span class="vp-sidebar-title">参考</span><span class="vp-arrow end"></span></button><!----></section></li></ul><!--[--><!----><!--]--></aside><!--[--><main id="main-content" class="vp-page"><!--[--><!--[--><!----><!--]--><!----><nav class="vp-breadcrumb disable"></nav><div class="vp-page-title"><h1><!---->应用场景</h1><div class="page-info"><!----><!----><span class="page-date-info" aria-label="写作日期"><svg xmlns="http://www.w3.org/2000/svg" class="icon calendar-icon" viewBox="0 0 1024 1024" fill="currentColor" aria-label="calendar icon"><path d="M716.4 110.137c0-18.753-14.72-33.473-33.472-33.473-18.753 0-33.473 14.72-33.473 33.473v33.473h66.993v-33.473zm-334.87 0c0-18.753-14.72-33.473-33.473-33.473s-33.52 14.72-33.52 33.473v33.473h66.993v-33.473zm468.81 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href="#背景">背景</a></li><!----><!--]--><!--[--><li class="toc-item"><a class="vp-link toc-link level3 toc-link level3" href="#架构">架构</a></li><!----><!--]--></ul></li><!--]--><!--[--><li class="toc-item"><a class="vp-link toc-link level2 toc-link level2" href="#应用2——智能运维">应用2——智能运维</a></li><li><ul class="toc-list"><!--[--><li class="toc-item"><a class="vp-link toc-link level3 toc-link level3" href="#背景-1">背景</a></li><!----><!--]--><!--[--><li class="toc-item"><a class="vp-link toc-link level3 toc-link level3" href="#架构-1">架构</a></li><!----><!--]--></ul></li><!--]--><!--[--><li class="toc-item"><a class="vp-link toc-link level2 toc-link level2" href="#应用3——智能工厂">应用3——智能工厂</a></li><li><ul class="toc-list"><!--[--><li class="toc-item"><a class="vp-link toc-link level3 toc-link level3" href="#背景-2">背景</a></li><!----><!--]--><!--[--><li class="toc-item"><a class="vp-link toc-link level3 toc-link level3" href="#架构-2">架构</a></li><!----><!--]--></ul></li><!--]--><!--[--><li class="toc-item"><a class="vp-link toc-link level2 toc-link level2" href="#应用4——工况监控">应用4——工况监控</a></li><li><ul class="toc-list"><!--[--><li class="toc-item"><a class="vp-link toc-link level3 toc-link level3" href="#背景-3">背景</a></li><!----><!--]--><!--[--><li class="toc-item"><a class="vp-link toc-link level3 toc-link level3" href="#架构-3">架构</a></li><!----><!--]--></ul></li><!--]--></ul><div class="toc-marker" style="top:-1.7rem;"></div></div><!--[--><!----><!--]--></aside></div><!--[--><!----><!--]--><div class="theme-hope-content"><!--
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--><h1 id="应用场景" tabindex="-1"><a class="header-anchor" href="#应用场景" aria-hidden="true">#</a> 应用场景</h1><h2 id="应用1——车联网" tabindex="-1"><a class="header-anchor" href="#应用1——车联网" aria-hidden="true">#</a> 应用1——车联网</h2><h3 id="背景" tabindex="-1"><a class="header-anchor" href="#背景" aria-hidden="true">#</a> 背景</h3><blockquote><ul><li>难点：设备多，序列多</li></ul></blockquote><p>某车企业务体量庞大，需处理车辆多、数据量大，亿级数据测点，每秒超千万条新增数据点，毫秒级采集频率，对数据库的实时写入、存储与处理能力均要求较高。</p><p>原始架构中使用Hbase集群作为存储数据库，查询延迟高，系统维护难度和成本高。难以满足需求。而IoTDB支持百万级测点数高频数据写入和查询毫秒级响应，高效的数据处理方式可以让用户快速、准确地获取到所需数据，大幅提升了数据处理的效率。</p><p>因此选择以IoTDB为数据存储层，架构轻量，减轻运维成本，且支持弹性扩缩容和高可用，确保系统的稳定性和可用性。</p><h3 id="架构" tabindex="-1"><a class="header-anchor" href="#架构" aria-hidden="true">#</a> 架构</h3><p>该车企以IoTDB为时序数据存储引擎的数据管理架构如下图所示。</p><figure><img src="https://alioss.timecho.com/docs/img/1280X1280.PNG" alt="img" tabindex="0" loading="lazy"><figcaption>img</figcaption></figure><p>车辆数据基于TCP和工业协议编码后发送至边缘网关，网关将数据发往消息队列Kafka集群，解耦生产和消费两端。Kafka将数据发送至Flink进行实时处理，处理后的数据写入IoTDB中，历史数据和最新数据均在IoTDB中进行查询，最后数据通过API流入可视化平台等进行应用。</p><h2 id="应用2——智能运维" tabindex="-1"><a class="header-anchor" href="#应用2——智能运维" aria-hidden="true">#</a> 应用2——智能运维</h2><h3 id="背景-1" tabindex="-1"><a class="header-anchor" href="#背景-1" aria-hidden="true">#</a> 背景</h3><p>某钢厂旨在搭建低成本、大规模接入能力的远程智能运维软硬件平台，接入数百条产线，百万以上设备，千万级时间序列，实现智能运维远程覆盖。</p><p>此过程中面临诸多痛点：</p><blockquote><ul><li>设备种类繁多、协议众多、数据类型众多</li><li>时序数据特别是高频数据，数据量巨大</li><li>海量时序数据下的读写速度无法满足业务需求</li><li>现有时序数据管理组件无法满足各类高级应用需求</li></ul></blockquote><p>而选取IoTDB作为智能运维平台的存储数据库后，能稳定写入多频及高频采集数据，覆盖钢铁全工序，并采用复合压缩算法使数据大小缩减10倍以上，节省成本。IoTDB 还有效支持超过10年的历史数据降采样查询，帮助企业挖掘数据趋势，助力企业长远战略分析。</p><h3 id="架构-1" tabindex="-1"><a class="header-anchor" href="#架构-1" aria-hidden="true">#</a> 架构</h3><p>下图为该钢厂的智能运维平台架构设计。</p><figure><img src="https://alioss.timecho.com/docs/img/1280X1280 (1).PNG" alt="img" tabindex="0" loading="lazy"><figcaption>img</figcaption></figure><h2 id="应用3——智能工厂" tabindex="-1"><a class="header-anchor" href="#应用3——智能工厂" aria-hidden="true">#</a> 应用3——智能工厂</h2><h3 id="背景-2" tabindex="-1"><a class="header-anchor" href="#背景-2" aria-hidden="true">#</a> 背景</h3><blockquote><ul><li>难点/亮点：云边协同</li></ul></blockquote><p>某卷烟厂希望从“传统工厂”向“高端工厂”完成转型升级，利用物联网和设备监控技术，加强信息管理和服务实现数据在企业内部自由流动，数据和决策的上通下达，帮助企业提高生产力，降低运营成本。</p><h3 id="架构-2" tabindex="-1"><a class="header-anchor" href="#架构-2" aria-hidden="true">#</a> 架构</h3><p>下图为该工厂的物联网系统架构，IoTDB贯穿公司、工厂、车间三级物联网平台，实现设备统一联调联控。车间层面的数据通过边缘层的IoTDB进行实时采集、处理和存储，并实现了一系列的分析任务。经过预处理的数据被发送至平台层的IoTDB，进行业务层面的数据治理，如设备管理、连接管理、服务支持等。最终，数据会被集成到集团层面的IoTDB中，供整个组织进行综合分析和决策。</p><figure><img src="https://alioss.timecho.com/docs/img/1280X1280 (2).PNG" alt="img" tabindex="0" loading="lazy"><figcaption>img</figcaption></figure><h2 id="应用4——工况监控" tabindex="-1"><a class="header-anchor" href="#应用4——工况监控" aria-hidden="true">#</a> 应用4——工况监控</h2><h3 id="背景-3" tabindex="-1"><a class="header-anchor" href="#背景-3" aria-hidden="true">#</a> 背景</h3><blockquote><ul><li>难点/亮点：智慧供热，降本增效</li></ul></blockquote><p>某电厂需要对风机锅炉设备、发电机、变电设备等主辅机数万测点进行监控。在以往的供暖供热过程中缺少对于下一阶段的供热量的预判，导致无效供热、过度供热、供热不足等情况。</p><p>使用IoTDB作为存储与分析引擎后，结合气象数据、楼控数据、户控数据、换热站数据、官网数据、热源侧数据等总和评判供热量，所有数据在IoTDB中进行时间对齐，为智慧供热提供可靠的数据依据，实现智慧供热。同时也解决了按需计费、管网、热站等相关供热过程中各重要组成部分的工况监控，减少了人力投入。</p><h3 id="架构-3" tabindex="-1"><a class="header-anchor" href="#架构-3" aria-hidden="true">#</a> 架构</h3><p>下图为该电厂的供热场景数据管理架构。</p><figure><img src="https://alioss.timecho.com/docs/img/7b7a22ae-6367-4084-a526-53c88190bc50.png" alt="img" tabindex="0" loading="lazy"><figcaption>img</figcaption></figure></div><!--[--><!----><!--]--><footer class="page-meta"><div class="meta-item edit-link"><a href="https://github.com/apache/iotdb-docs/edit/main/src/zh/UserGuide/latest/IoTDB-Introduction/Scenario.md" rel="noopener noreferrer" target="_blank" aria-label="发现错误？在 GitHub 上编辑此页" class="nav-link label"><!--[--><svg 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