Towards In-Transit Analytics for Industry 4.0

被引：7
|
作者：
Hill, Richard [1 ]
Devitt, James [1 ]
Anjum, Ashiq [2 ]
Ali, Muhammad [2 ]
机构：
[1] Univ Huddersfield, Sch Comp & Engn, Huddersfield, W Yorkshire, England
[2] Univ Derby, Coll Engn & Technol, Derby, England
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON INTERNET OF THINGS (ITHINGS) AND IEEE GREEN COMPUTING AND COMMUNICATIONS (GREENCOM) AND IEEE CYBER, PHYSICAL AND SOCIAL COMPUTING (CPSCOM) AND IEEE SMART DATA (SMARTDATA) | 2017年
关键词：
Industrial Internet of Things; edge computing; streaming analytics; data visualisation; digital manufacturing;
D O I：
10.1109/iThings-GreenCom-CPSCom-SmartData.2017.124
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Industry 4.0, or Digital Manufacturing, is a vision of inter-connected services to facilitate innovation in the manufacturing sector. A fundamental requirement of innovation is the ability to be able to visualise manufacturing data, in order to discover new insight for increased competitive advantage. This article describes the enabling technologies that facilitate In Transit Analytics, which is a necessary precursor for Industrial Internet of Things (IIoT) visualisation.
引用
收藏
页码：810 / 817
页数：8
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