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

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 env...

Full description

Saved in:
Bibliographic Details
Published inTechnological Innovation for Cyber-Physical Systems pp. 116 - 123
Main Authors Nagorny, Kevin, Scholze, Sebastian, Barata, José, Colombo, Armando Walter
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 2016
SeriesIFIP Advances in Information and Communication Technology
Subjects
Big data
Context sensitivity
Cyber-physical systems
Data mining
Diagnostics
Engineering
ISA-95
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:3319311646
9783319311647
ISSN:1868-4238
1868-422X
DOI:10.1007/978-3-319-31165-4_12