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TUTCRIS

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

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoIEEE 9th International Conference on Industrial Informatics, INDIN 2011, 26-29 July, 2011, Caparica, Lisbon, Portugal
JulkaisupaikkaPiscataway, NJ
KustantajaIEEE
Sivut497-502
ISBN (painettu)978-1-4577-0435-2
DOI - pysyväislinkit
TilaJulkaistu - 2011
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa

Julkaisusarja

NimiInternational Conference on Industrial Informatics INDIN
KustantajaIEEE

Tiivistelmä

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.

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