About: Embedded Service Oriented Monitoring, Diagnostics and Control: Towards the Asset-aware and Self-Recovery Factory

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About: Embedded Service Oriented Monitoring, Diagnostics and Control: Towards the Asset-aware and Self-Recovery Factory Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Projekt, within Data Space : linked.opendata.cz associated with source document(s)

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Description	In Europe, manufacturing represents approximately 22% of GDP, and it is estimated that 75% of GDP and 70% of employment is related to manufacturing. The direct cost of maintenance is equivalent to 4% to 8% of the total sales turnover [Naijar2004]. Depending on the industry, maintenance costs can represent between 15% (food-related industries) and 60% (iron and steel, pulp and paper and other heavy industries) of production cost [Mobley2002]. However today’s factories plant states are isolated and cannot be fully understood since there is no infrastructure for holistic and continuous measurement and visualization of relevant information. This lack of insight prevents efficient decision taking in real-time (e.g. recovery from undesired situations). The objective of the eSONIA project is to realize the asset-aware and self-recovery plant through: pervasive heterogeneous (wirelines and wireless) IPv6-based embedded devices bringing on-board specialized services glued through a middleware (en) In Europe, manufacturing represents approximately 22% of GDP, and it is estimated that 75% of GDP and 70% of employment is related to manufacturing. The direct cost of maintenance is equivalent to 4% to 8% of the total sales turnover [Naijar2004]. Depending on the industry, maintenance costs can represent between 15% (food-related industries) and 60% (iron and steel, pulp and paper and other heavy industries) of production cost [Mobley2002]. However today’s factories plant states are isolated and cannot be fully understood since there is no infrastructure for holistic and continuous measurement and visualization of relevant information. This lack of insight prevents efficient decision taking in real-time (e.g. recovery from undesired situations). The objective of the eSONIA project is to realize the asset-aware and self-recovery plant through: pervasive heterogeneous (wirelines and wireless) IPv6-based embedded devices bringing on-board specialized services glued through a middleware (cs)
Title	Embedded Service Oriented Monitoring, Diagnostics and Control: Towards the Asset-aware and Self-Recovery Factory (en) Embedded Service Oriented Monitoring, Diagnostics and Control: Towards the Asset-aware and Self-Recovery Factory (cs)
http://linked.open...vai/cislo-smlouvy	http://linked.opendata.cz/resource/domain/vavai/cep/smlouva/5010/2011-321
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http://linked.open...vai/klicova-slova	3D visualization; heterogeneous (wirelines and wireless) (en)
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is http://linked.open...ain/vavai/projekt of	http://linked.opendata.cz/resource/domain/vavai/cep/ucast/2010/7H10012/orjk-26230 http://linked.opendata.cz/resource/domain/vavai/cep/ucast/2011/7H10012/orjk-26230 http://linked.opendata.cz/resource/domain/vavai/cep/ucast/2012/7H10012/orjk-26230 http://linked.opendata.cz/resource/domain/vavai/cep/ucast/2013/7H10012/orjk-26230

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