大数据
瓶颈
智能制造
计算机科学
制造工程
综合计算机辅助制造
制造业
工业4.0
计算机集成制造
过程开发执行系统
数字化转型
先进制造业
数据科学
工程类
业务
数据挖掘
嵌入式系统
万维网
营销
出处
期刊:IEEE Access
[Institute of Electrical and Electronics Engineers]
日期:2018-01-01
卷期号:6: 3585-3593
被引量:1247
标识
DOI:10.1109/access.2018.2793265
摘要
With the advances in new-generation information technologies, especially big data and digital twin, smart manufacturing is becoming the focus of global manufacturing transformation and upgrading. Intelligence comes from data. Integrated analysis for the manufacturing big data is beneficial to all aspects of manufacturing. Besides, the digital twin paves a way for the cyber-physical integration of manufacturing, which is an important bottleneck to achieve smart manufacturing. In this paper, the big data and digital twin in manufacturing are reviewed, including their concept as well as their applications in product design, production planning, manufacturing, and predictive maintenance. On this basis, the similarities and differences between big data and digital twin are compared from the general and data perspectives. Since the big data and digital twin can be complementary, how they can be integrated to promote smart manufacturing are discussed.
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