SMART PRODUCTION LINE: COMMON FACTORS AND DATA-DRIVEN IMPLEMENTATION METHOD

被引：0
|
作者：
Zhang, Yongping [1 ]
Cheng, Ying [1 ]
Tao, Fei [1 ]
机构：
[1] Beihang Univ BUAA, Sch Automat Sci & Elect Engn, Beijing, Peoples R China
来源：
PROCEEDINGS OF THE ASME 12TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE - 2017, VOL 3 | 2017年
基金：
北京市自然科学基金;
关键词：
smart production line (SPL); common factors; data driven; energy evaluation; DECISION-SUPPORT-SYSTEM;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Smart factory and smart production are the common aims for many countries' manufacturing development strategies, which have attracted attentions from both academia and industry. Smart production line, which is a basic unit for implementing smart factory and smart production, is emphasized in this paper. The evolution process of production line is summarized first. Then the common factors for smart production line are investigated. Accordingly, a data-driven method for realizing smart production line is proposed. At the same time, the corresponding applications and attainable goals are given. Finally, a case for data-driven energy emulation and analysis in production line is illustrated.
引用
收藏
页数：7
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