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AUTOWARE

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Cerrado

Wireless Autonomous Reliable and Resilient ProductIon Operation ARchitecture fo...

Wireless Autonomous Reliable and Resilient ProductIon Operation ARchitecture for Cognitive Manufacturing Current practice is such that a production system is designed and optimized to execute the exact same process over and over again. The planning and control of production systems has become increasingly complex regarding flexibilit... ver más

30/09/2019

SOFTWARE QUALITY S...

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

SOFTWARE QUALITY SYSTEMS La ejecucion de tareas de consultoria, formacion y desarrollo para asegurar y mejorar la calidad de los sistemas de informacion y comunicaci...

TRL 4-5 | 623K€

Fecha límite participación Sin fecha límite de participación.

Ver 15 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2019-09-30

FOF-11-2016: Digital automation

I+D

Cerrada hace 9 años

0% 99% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

15 Participantes

SOFTWARE QUALITY SYSTEMS

365.48K€ | Lider

UMH

257.63K€ | Participante

ROBOVISION

222.50K€ | Participante

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Duración del proyecto: 36 meses Fecha Inicio: 2016-09-20
Fecha Fin: 2019-09-30

Líder del proyecto

SOFTWARE QUALITY SYSTEMS La ejecucion de tareas de consultoria, formacion y desarrollo para asegurar y mejorar la calidad de los sistemas de informacion y comunicaci...

TRL 4-5 | 623K€

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Current practice is such that a production system is designed and optimized to execute the exact same process over and over again. The planning and control of production systems has become increasingly complex regarding flexibility and productivity, as well as the decreasing predictability of processes. The full potential of open CPS has yet to be fully realized in the context of cognitive autonomous production systems. SMEs face additional challenges to the implementation of cloudified automation processes. While the building blocks for digital automation are available, it is up to the SMEs to align, connect and integrate them together to meet the needs of their individual advanced manufacturing processes. Moreover, SMEs face difficulties to make decisions on strategic automation investments that will boost their business strategy. AUTOWARE objective is to build three distinct pillars to form a multi-sided ecosystem. (1) From the BeinCPPS, leverage a reference architecture (fully aligned with CRYSTAL and EMC2 CPS design practices and ARROWHEAD cloudification approach) across I4MS competence domains (cloud,CPPS, robotics), acting as a glue that will attract potential users and developers to a friendly ecosystem for business development, more efficient service development over harmonized architectures (smart machine, cloudified control, cognitive planning- app-ized operation). (2) To leverage a number of SME enablers; e.g. augmented virtuality, reliable wireless communications, CPPS trusted auto-configuration, smart data distribution and cognitive planning to ease cognitive autonomous systems. Finally, to leverage digital automation investments. AUTOWARE brings together the best of breed ARTEMISIA/ECSEL platforms, I4MS innovation, SAFIR business platforms and neutral experimental sites (robotics & process). AUTOWARE assets will be evaluated in two industrial pilots, PWR and SCM, and will offer well established industry and start-ups new business opportunities.

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