Semantic Processing of Monitoring Data in Industrial Applications

Semantic Processing of Monitoring Data in Industrial Applications

Florian Fuchs (Siemens AG, Corporate Technology, Intelligent Autonomous Systems, Germany)
Copyright: © 2009 |Pages: 28
DOI: 10.4018/978-1-60566-112-4.ch005
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Abstract

This chapter discusses the potential of semantically processing monitoring data in industrial applications such as condition-based maintenance and monitoring of complex systems and infrastructure networks. It points out the particular requirements involved and gives a comprehensive and structured overview of current approaches and engineering solutions in these fields. As a case study for engineering industrial end-to-end solutions, it presents the design and prototype implementation of a decision support system in the railway domain.
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Background And Advantages Of The Semantic Approach

This section discusses several industrial use cases that rely on effective monitoring. It identifies the key issues and challenges for its realization. Finally, it points out how the semantic approach can help.

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