Manufacturing Cyber-Physical Systems Enabled by Complex Event Processing and Big Data Environments: A Framework for Development

被引:12
作者
Babiceanu, Radu F. [1 ]
Seker, Remzi [1 ]
机构
[1] Embry Riddle Aeronaut Univ, Dept Elect Comp Software & Syst Engn, Daytona Beach, FL 32114 USA
来源
SERVICE ORIENTATION IN HOLONIC AND MULTI-AGENT MANUFACTURING | 2015年 / 594卷
关键词
Sensor-based real-time monitoring; Complex event processing; Big Data; Cloud manufacturing;
D O I
10.1007/978-3-319-15159-5_16
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 decades old manufacturing operations question of choosing the right answer in the face of disturbances created by certain unexpected events, or by their aggregation, could now be one step further to receive the right answer. A sensor-packed manufacturing system in which each process or piece of equipment makes available event and status information, coupled with market research for true advanced Big Data analytics, seem to be the right ingredients for event response selection, and thus moving manufacturing closer to the cloud manufacturing systems paradigm. Besides the inherent obvious advantages that come with the cloud manufacturing capabilities, the resulting manufacturing cyber-physical system will be also subjected to the known setbacks of the software and Internet-based systems, from which cyber-security needs to be addressed at the forefront.
引用
收藏
页码:165 / 173
页数:9
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