[ "王建民(1968-),男,博士,清华大学软件学院教授、博士生导师、院长,信息学院副院长,数据科学研究院副院长、管理委员会副主任,大数据系统软件国家工程实验室执行主任,工业大数据系统与应用北京市重点实验室主任。主要研究方向为大数据系统软件、工业大数据、产品全生命周期管理、业务过程管理等。" ]
网络首发:2017-11,
纸质出版:2017-11-20
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王建民. 工业大数据技术综述[J]. 大数据, 2017,3(6):2017057.
Jianmin WANG. Survey on industrial big data[J]. Big Data Research, 2017, 3(6): 2017057.
王建民. 工业大数据技术综述[J]. 大数据, 2017,3(6):2017057. DOI: 10.11959/j.issn.2096-0271.2017057.
Jianmin WANG. Survey on industrial big data[J]. Big Data Research, 2017, 3(6): 2017057. DOI: 10.11959/j.issn.2096-0271.2017057.
工业大数据是工业数据的总称,包括信息化数据、物联网数据以及跨界数据,是工业互联网的核心要素。分析了工业大数据的发展背景和主体来源,剖析了工业大数据、企业信息化和工业互联网之间的相互关系,阐述了工业大数据“多模态、高通量、强关联”的数据特点以及“跨尺度、产业链、跨界”多源数据融合的应用特点,探讨了工业大数据软件系统架构,给出了制造环节的大数据应用实例。
Industrial big data is a collection of data in the industry application
which consist of business data in the information system
machine data in the industrial IoT system
and related data in the related websites.Industrial big data is a very important component of industrial internet.The main resources of the industrial big data were analyzed with introduction of the industrial internet.Then the relationships among “industrial big data
enterprise digitalization and industrial internet” were discussed.The“multi-typed
high-throughput
and strong-correlated” characteristics of industrial big data were presented.A typical industrial big data application scenario with “cross-time-scale
cross-supply-chain
and cross-organization” was shown.Furthermore
Industrial big data software architecture was discussed and a real-life application case was shown.
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Industrial Big Data Task Group of Alliance of Industrial Internet . Technology and application practice of industrial big data(2017) [M ] . Beijing : Publishing House of Electronics Industry , 2017 .
王建民 . 工业大数据技术 [J ] . 电信网技术 , 2016 ( 8 ): 1 - 5 .
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