Big data systems requirements for Industry 4.0

被引：0
|
作者：
Coda, Felipe A. [1 ]
de Salles, Rafael M. [1 ]
Junqueira, Fabricio [1 ]
Santos Filho, Diolino J. [1 ]
Silva, Jose R. [1 ]
Miyagi, Paulo E. [1 ]
机构：
[1] Univ Sao Paulo, Escola Politecn, Sao Paulo, Brazil
来源：
2018 13TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRY APPLICATIONS (INDUSCON) | 2018年
基金：
巴西圣保罗研究基金会;
关键词：
Industry; 4.0; big data; internet of things; requirements engineering; process modeling;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The increase in the capacity to acquire and analyze a mass of data characterized as "big data" is an opportunity to review the paradigms of productive systems. Especially when considering the Industry 4.0 where it is expected an autonomous and high level of interaction among machines, connecting Cyber-Physical Systems (CPS) through the Internet of Things, and it is necessary to explore data generated in this interaction to improve all aspects of the production process. Therefore, the purpose of this paper is to characterize requirements for the big data systems in Industry 4.0, based on viewpoints, objectives and expectations of stakeholders for its uses.
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页码：1230 / 1236
页数：7
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