
ERPC
4 Projects, page 1 of 1
Open Access Mandate for Publications assignment_turned_in Project2015 - 2018Partners:ATB, METEOLOGIX AG, ERPC, IMT, HERE GLOBAL B.V. +7 partnersATB,METEOLOGIX AG,ERPC,IMT,HERE GLOBAL B.V.,CRF,ATOS SPAIN SA,VW AG,Trialog (France),RENAULT SAS,METEOGROUP NEDERLAND,TU Dortmund UniversityFunder: European Commission Project Code: 644657Overall Budget: 5,751,790 EURFunder Contribution: 4,460,270 EURInside today's vehicles ~4000 CAN-Bus signals/sec are processed in comparison to very few signals in smart phones and alike. This large amount of continuously gathered vehicle data represents major big data business potentials, not only for the automotive industry but in particular for cross-sectorial industries with interdisciplinary applications. With today's proprietary approaches focusing on bringing services into vehicles and the applied ignorance of customer privacy concerns, this major business potential is still locked because the automotive industry was not yet able to establish an open service ecosystem equivalent to the ones in the smart phone industry. The core intention of the AutoMat project is to innovate an open ecosystem for Vehicle Big Data, materializing in the form of a cross-border Vehicle Big Data Marketplace that leverages currently unused information gathered from connected vehicles. The interface to the marketplace is derived from a Common Vehicle Information Model that makes mined and anonymous vehicle data from various OEMs accessible to cross-sectorial service providers. With the huge amount of volatile data from vehicles, the AutoMat ecosystem heavily builds upon current trends in Big Data. Exemplary service scenarios, driven by service providers dedicated to generate concrete businesses from the AutoMat ecosystem, are developed in the context of meteorological data based hyper local and extended innovative enterprise service domains. By defining an open value chain, the proposed AutoMat ecosystem enables and stimulates parties from different sectors to focus on their core businesses and to excel collaboration with other partners. AutoMat therefore may serve as incubator for new business opportunities strengthening Europe's position as provider of innovative cross-sectorial and cross-border Big Data services. The latter aspect is actively stimulated during the project by an Open Service Contest based upon the AutoMat Big Data ecosystem.
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For further information contact us at helpdesk@openaire.euassignment_turned_in Project2010 - 2013Partners:LETI, Lindholmen Science Park, RENAULT SAS, ENDESA SA, BP LABS ISRAEL LTD +7 partnersLETI,Lindholmen Science Park,RENAULT SAS,ENDESA SA,BP LABS ISRAEL LTD,ATB,Continental,Erasmus University College Brussels,SAP AG,Electrical,VW,ERPCFunder: European Commission Project Code: 249105All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=corda_______::9d0b5128c97bbbd499445ec7ccc5085e&type=result"></script>'); --> </script>
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For further information contact us at helpdesk@openaire.euassignment_turned_in Project2011 - 2014Partners:LETI, RWE EFFIZIENZ GMBH, Trialog (France), ATB, ENDESA INGENIERIA SL +10 partnersLETI,RWE EFFIZIENZ GMBH,Trialog (France),ATB,ENDESA INGENIERIA SL,MHI,KNOWLEDGE INSIDE,CRF,BroadBit (Slovakia),RENAULT SAS,VW,ATOS SPAIN SA,TU Dortmund University,CAA,ERPCFunder: European Commission Project Code: 285586All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=corda_______::e77fbb425f8da9b26919a0730a407b87&type=result"></script>'); --> </script>
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2019 - 2022Partners:INTERNATIONAL DATA SPACES ASSOCIATION IDSA, Airbus (India), Visual Components (Finland), SINTEF AS, CONSORZIO INTELLIMECH +45 partnersINTERNATIONAL DATA SPACES ASSOCIATION IDSA,Airbus (India),Visual Components (Finland),SINTEF AS,CONSORZIO INTELLIMECH,FHG,TTTech Computertechnik (Austria),Telefonica Research and Development,PRIMA INDUSTRIE SPA,TU Dortmund University,THYSSENKRUPP PRESTA FRANCE SAS,PACE GmbH,INNOVALIA,ENGINEERING - INGEGNERIA INFORMATICA SPA,LETI,EIT DIGITAL,Beko Europe Management,AIT,ERPC,TTS TECHNOLOGY TRANSFER SYSTEMS SRL,Unparallel Innovation (Portugal),EPFL,MONDRAGON CORPORACION COOPERATIVA SCOOP,NXT,ATLANTIS ENGINEERING,GHI HORNOS INDUSTRIALES, SL,ATOS SPAIN SA,PCL,SYNESIS,IPS,WHIRLPOOL EMEA SPA,Continental,FUNDACION AIC AUTOMOTIVE INTELLIGENCE CENTER FUNDAZIOA,Siemens (Germany),Kolektor Group d.o.o.,ATB,ASTI,Technische Universität Braunschweig,TNO,TEKNOLOGIAN TUTKIMUSKESKUS VTT OY,INTRASOFT International,DANOBAT,TTTECH INDUSTRIAL AUTOMATION AG,SQS,GFMS ADVMAN,FAGOR ARRASATE S COOP,RIA STONE,AGIE CHARMILLES NEW TECHNOLOGIES SA,Unimetrik (Spain),Polytechnic University of MilanFunder: European Commission Project Code: 825030Overall Budget: 19,668,500 EURFunder Contribution: 15,998,200 EURQU4LITY will demonstrate, in a realistic, measurable, and replicable way an open, certifiable and highly standardised, SME-friendly and transformative shared data-driven ZDM product and service model for Factory 4.0 through 5 strategic ZDM plug & control lighthouse equipment pilots and 9 production lighthouse facility pilots. QU4LITY will also demonstrate how European industry can build unique and highly tailored ZDM strategies and competitive advantages (significantly increase operational efficiency, scrap reduction, prescriptive quality management, energy efficiency, defect propagation avoidance and improved smart product customer experience, and foster new digital business models; e.g. outcome-based and product servitisation) through an orchestrated open platforms ecosystem, ZDM atomized components and digital enablers (Industry 4.0 digital connectivity & edge computing package, plug & control autonomous manufacturing equipment, real-time data spaces for process monitoring & adaptation, simulation data spaces for digital process twin continuity, AI-powered analytic data spaces for cognitive digital control twin composable services, augmented worker interventions, European quality data marketplace) across all phases of product and process lifecycle (engineering, planning, operation and production) building upon the QU4LITY autonomous quality model to meet the Industry 4.0 ZDM challenges (cost and time effective brownfield ZDM deployment, flexible ZDM strategy design & adaptation, agile operation of zero defect processes & products, zero break down sustainable manufacturing process operation and human centred manufacturing).
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