A new manufacturing resources integration and sharing modes in big data environment

被引：0
|
作者：
Xiang, Feng [1 ]
Chen, XiaoWu [1 ]
Jiang, GuoZhang [1 ]
机构：
[1] Wuhan Univ Sci & Technol, Sch Mech & Elect Engn, Wuhan, Peoples R China
来源：
PROCEEDINGS OF THE 2016 IEEE 11TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA) | 2016年
关键词：
Manufacturing resources integration and sharing; big data; physical centralization; logic centralization; ALGORITHM;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The scale effect of big data brings great challenges to manufacturing resource integration, modeling, analysis and sharing. According to the application requirements, function requirements, performance requirements and operation conditions of manufacturing resources integration and sharing ( MRIS) in big data environment, the characteristics of manufacturing resource big data are analyzed, then, a MRIS framework and three kinds of MRIS methods are proposed, such as physical centralization by merging the data source, physical centralization by maintaining the data source and logic centralization.
引用
收藏
页码：1984 / 1987
页数：4
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