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Embedded service oriented monitoring, diagnostics and control: towards the asset-aware and self-recovery factory

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Details

Original languageEnglish
Title of host publicationIEEE 9th International Conference on Industrial Informatics, INDIN 2011, 26-29 July, 2011, Caparica, Lisbon, Portugal
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages497-502
ISBN (Print)978-1-4577-0435-2
DOIs
Publication statusPublished - 2011
Publication typeA4 Article in a conference publication

Publication series

NameInternational Conference on Industrial Informatics INDIN
PublisherIEEE

Abstract

In Europe, the manufacturing sector represents nearly the 22% of the GDP. Since the beginning of the European Technology Platform MANUFUTURE, Service Oriented Architecture have become the de facto in the industrial informatics research community. In most cases, SOA is implemented by using Web Service technology based on RESTful services or WS-* standards. Several publications have shown the advantages of WS technologies in Factory Automation e.g. enterprise integration, monitoring and control, real-time decision taking, maintenance scheduling, and reconfiguration. Monitoring has become an effortless task, leading to massive data to be processed in order to present a diagnostic i.e. asset-awareness. Further, once problems are identified, an automatic self-recovery mechanism should be provided in order to minimize loses. This paper introduce the eSONIA project which aims to improve the flow of information, rather than raw data, in the factory floor by enhancing the system awareness and granting self-recovery to the factory. To achieve this goal, eSONIA uses pervasive heterogeneous embedded devices intercommunicated with WS technologies over IPv6.

Publication forum classification

Field of science, Statistics Finland

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