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

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  • 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
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
skos:notation
  • 7H10012
http://linked.open...avai/cep/aktivita
http://linked.open...kovaStatniPodpora
http://linked.open...ep/celkoveNaklady
http://linked.open...datumDodatniDoRIV
http://linked.open...i/cep/druhSouteze
http://linked.open...ep/duvernostUdaju
http://linked.open.../cep/fazeProjektu
http://linked.open...ai/cep/hlavniObor
http://linked.open...hodnoceniProjektu
http://linked.open...vai/cep/kategorie
http://linked.open.../cep/klicovaSlova
  • 3D visualization; heterogeneous (wirelines and wireless) (en)
http://linked.open...ep/partnetrHlavni
http://linked.open...inujicichPrijemcu
http://linked.open...cep/pocetPrijemcu
http://linked.open...ocetSpoluPrijemcu
http://linked.open.../pocetVysledkuRIV
http://linked.open...enychVysledkuVRIV
http://linked.open.../prideleniPodpory
http://linked.open...iciPoslednihoRoku
http://linked.open...atUdajeProjZameru
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http://linked.open...ep/ukonceniReseni
http://linked.open.../cep/vedlejsiObor
http://linked.open...ep/zahajeniReseni
http://linked.open...jektu+dodavatelem
  • In the eSonia project, Brno University of Technology mainly focused on research and developement of web services to collect key performance indicators from embedded devices in industrial applications. (en)
  • V rámci mezinárodního projektu eSonia se tým z Vysokého učení technického v Brně zaměřil především na výzkum a vývoj webových služeb, které poskytly podklady pro zjišťování výkonnostních charakteristik z vestavěných systémů v průmyslových provozech. (cs)
http://linked.open...tniCyklusProjektu
http://linked.open.../cep/klicoveSlovo
  • 3D visualization
is http://linked.open...vavai/cep/projekt of
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