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质检大数据平台技术架构及应用服务价值模型探讨 被引量:4

Discussion to Quality Big Data platform's Technology Architecture and Application Services Value Model
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摘要 在"互联网+"时代,质检机构承载了巨大数据资源。构建质检大数据平台实现质检数据资源的集中共享和分析利用是国家质检总局的一项重大决策。文中从分析质检系统当前数据现状入手,首先阐述了平台架构的构建主线,而后提出了质检大数据平台的架构模型,该质检大数据架构模型以数据采集系统、资源调度平台、应用体系3大主线为核心,数据源接入、数据存储中间件、数据服务中间件为支撑,并深度探讨了质检大数据平台技术架构包含的内容和技术细节,该模型可为质检大数据平台的构建提供重要参考。最后创新性地提出了质检大数据平台的应用价值模型,该模型体现了质检大数据平台的服务理念。 In the era of Interact+, the measuring institutions are carrying huge data resources. To construct Quality Big Data platform, Centralize shared data resources and use is a major decision for the AQS1Q. This paper analyzes the current status of quality data firstly, then propose architecture mode of big data platform. The quality big data architecture model consists of the 3 main lines ,data acquisition systems,resource scheduling platform and application system, as the core. The data source access, data storage middleware, data services middlewarc are as a support, The detailed discussion on the content and technical details of quality big data platform technology architecture are also conducted .This model provides an important reference for building quality big data platform construction. Finally, it proposes innovativly application value model quality big data platform,The model embodies the services concept of the big data platform quality.
作者 杨思远 YANG Si-Yuan(Fujian Metrology Institute, FuZhou 350003, Fujian, Chin)
出处 《质量技术监督研究》 2017年第2期47-50,60,共5页 Quality and Technical Supervision Research
关键词 质检 大数据 架构 服务 Quality Big data Architecture Services
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