Survey on industrial big data

Jianmin WANG

doi:10.11959/j.issn.2096-0271.2017057

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Survey on industrial big data

Thematic:big industrial data | 更新时间：2024-06-03

- Survey on industrial big data
- Big Data Research Vol. 3, Issue 6, Pages: 2017057(2017)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2017057
  CLC： TP399
- Online First：2017-11，
  
  Published：20 November 2017
- 稿件说明：
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Jianmin WANG. Survey on industrial big data[J]. Big Data Research, 2017, 3(6): 2017057.
DOI：

Jianmin WANG. Survey on industrial big data[J]. Big Data Research, 2017, 3(6): 2017057. DOI： 10.11959/j.issn.2096-0271.2017057.

摘要

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。

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.

关键词

Keywords

references

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Related Institution

Shanghai Development Center of Computer Software Technology

School of Electronic Information Engineering,Shanghai Dianji University

Engineering Big Data Service Innovation Center,Shanghai Industrial Technology Institute

College of Engineering, Peking University

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