工业大数据技术综述

doi:10.11959/j.issn.2096-0271.2017057

Abstract

Abstract:

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.

Key words: industrial big data, industrial internet, big data software, system architecture

CLC Number:

TP399

Jianmin WANG. Survey on industrial big data[J]. Big Data Research, 2017, 3(6): 3-14.

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[1]	PORTER M E , HEPPELMANN J E . How smart connected products are transforming competition[J]. Harvard Business Review, 2014(11):65-88.
[2]	工业互联网产业联盟工业大数据特设组. 工业大数据技术与应用实践（2017）[M]. 北京：电子工业出版社， 2017.
	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.
[3]	王建民 . 工业大数据技术[J]. 电信网技术， 2016(8):1-5.
	WANG J M . Technology of industrial big data[J]. Telecommunications Network Technology, 2016(8):1-5.
[4]	MANYYIKA J , CHUI M BROWN B , et al. Big data:the next frontier for innovation,competition,and productivity[M]. [S.l:s.n.], 2011.
[5]	莫欣农 . 跨生命周期数据管理平台助力中国制造服务转型[J]. 科技纵览， 2015(8):58-60.
	MO X N . lifecycle data management platform promotes transformation of manufacturing services in China[J]. IEEE Spectrum, 2015(8):58-60.
[6]	DAYAL U , GUPTA C , VENNELAKANTI R , et al. An approach to benchmarking industrial big data applications[C]// WBDB 2014,August 5-6,2014,Potsdam,Germany.Berlin:Springer International Publishing, 2014:45-60.

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Survey on industrial big data

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