An Approach for Implementing ISA 95-Compliant Big Data Observation, Analysis and Diagnosis Features in Industry 4.0 Vision Following Manufacturing Systems

被引：1
作者：
Nagorny, Kevin [1 ]
Scholze, Sebastian [1 ]
Barata, Jose [2 ]
Colombo, Armando Walter [3 ]
机构：
[1] ATB Inst Angew Syst Tech Bremen, D-28359 Bremen, Germany
[2] NOVA Univ Lisbon, P-1099085 Lisbon, Portugal
[3] Univ Appl Sci Emden Leer, D-26723 Emden, Germany
来源：
TECHNOLOGICAL INNOVATION FOR CYBER-PHYSICAL SYSTEMS | 2016年 / 470卷
关键词：
Engineering; Big data; Cyber-physical systems; Context sensitivity; Diagnostics; Data mining; ISA-95;
D O I：
10.1007/978-3-319-31165-4_12
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Current trends are showing a technological evolution to an unified Industrial Internet of Things network where smart manufacturing devices are loosely coupled over a cloud to realize comprehensive collaboration and analysis possibilities, and to increase the dynamic and volatile of manufacturing environments. This rising complexity generates also higher ranges of error possibilities and analog a growing demand of new diagnostic approaches to handle also those highly complex systems as manufacturing systems which are following the Industry 4.0 vision. This is an ISA'95 compliant approach of a Big Data analytics methodology for analysis and observation in Industry 4.0 vision following manufacturing systems.
引用
收藏
页码：116 / 123
页数：8
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