General Architecture for Data Analysis in Industry 4.0 using SysML and Model Based System Engineering

被引：0
|
作者：
Arantes, Marcio [1 ]
Bonnard, Renan [1 ]
Mattei, Andre Pierre [1 ]
de Saqui-Sannes, Peirre [2 ]
机构：
[1] Senai Innovat Inst Embedded Syst Florianopolis, Floriano, SC, Brazil
[2] Univ Toulouse, ISAE SUPAERO, Toulouse, France
来源：
12TH ANNUAL IEEE INTERNATIONAL SYSTEMS CONFERENCE (SYSCON2018) | 2018年
关键词：
System Modeling; SysML; Industry; 4.0; Advanced manufacturing; Big Data Analytics;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The industrial manufacturing sector has substantially evolved over the past decade, with the collect and analyze of sensors and apparatus data. The manufacturing processes "digitalization" has resulted in huge data management concerns, as manufacturing companies need to aggregate value for productivity improvement. The Industry 4.0 concept involves many technologies in order to challenge this issue. The paper presents an architecture framework to allow data analysis in different factories in the Industry 4.0 context. A MBSE approach is proposed and the use of SysML is assessed in that context.
引用
收藏
页码：420 / 425
页数：6
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