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  4. A generic data fusion and analysis platform for cyber-physical systems
 
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2017
Conference Paper
Title

A generic data fusion and analysis platform for cyber-physical systems

Abstract
In the future, production systems and information technology will merge, providing new ways for data processing and analysis. Still, the current situation is that for different production environments, different IT infrastructures exist. This makes data gathering, fusion and analysis process an elaborate work or even unfeasible. Hence, this paper presents a generic, extendable and adaptable data fusion and analysis platform. Within this platform it is possible to connect onto different production systems, collect and process their measurements in realtime and finally give feed-back to the user. To keep the platform generic, the architecture follows a plug-in based approach. It is possible to integrate data from new productions systems into the platform as well as tailor made algorithms for analysis. As a use case, the platform is used on an industry 4.0 testbed which is used to monitor and track the lifecycle of a load process.
Author(s)
Kühnert, Christian  
Montalvo Arango, I.
Mainwork
Machine Learning for Cyber Physical Systems  
Conference
Conference on Machine Learning for Cyber-Physical-Systems and Industry 4.0 (ML4CPS) 2016  
DOI
10.1007/978-3-662-53806-7_6
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • industry 4.0

  • Condition-Monitoring

  • Plug-in architecture

  • data fusion

  • data analysis

  • Cyber-Physical Systems

  • Generic Adaptable

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