大数据
分析
建筑
数据科学
计算机科学
服务(商务)
工业4.0
参考体系结构
系统工程
制造业
数据分析
过程管理
信息物理系统
面向服务的体系结构
工程类
数字化转型
知识管理
系统体系结构
智能制造
信息系统
转化(遗传学)
工程管理
遗留系统
新兴技术
软件分析
软件工程
信息技术
作者
Jay Lee,Hossein Davari Ardakani,Shanhu Yang,Behrad Bagheri
标识
DOI:10.1016/j.procir.2015.08.026
摘要
With the rapid advancement of Information and Communication Technologies (ICT) and the integration of advanced analytics into manufacturing, products and services, many industries are facing new opportunities and at the same time challenges of maintaining their competency and market needs. Such integration, which is called Cyber-physical Systems (CPS), is transforming the industry into the next level. CPS facilitates the systematic transformation of massive data into information, which makes the invisible patterns of degradations and inefficiencies visible and yields to optimal decision-making. This paper focuses on existing trends in the development of industrial big data analytics and CPS. Then it briefly discusses a systematic architecture for applying CPS in manufacturing called 5C. The 5C architecture includes necessary steps to fully integrate cyber-physical systems in the manufacturing industry. Finally, a case study for designing smart machines through the 5C CPS architecture is presented.
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