A Generic Data Fusion and Analysis Platform for Cyber-Physical Systems

被引:0
|
作者
Kuehnert, Christian [1 ]
Arango, Idel Montalvo [2 ]
机构
[1] Fraunhofer IOSB, Fraunhoferstr 1, D-76131 Karlsruhe, Germany
[2] IngeniousWare GmbH, Jollystr 11, D-76137 Karlsruhe, Germany
关键词
Industry; 4.0; Condition-Monitoring; Plug-in architecture; Data Fusion; Data Analysis; Cyber-Physical Systems; Generic; Adaptable;
D O I
10.1007/978-3-662-53806-7_6
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 real-time 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.
引用
收藏
页码:45 / 54
页数:10
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