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Assets4Rail

Financiado

Cerrado

Measuring monitoring and data handling for railway assets bridges tunnels tr...

Measuring monitoring and data handling for railway assets bridges tunnels tracks and safety systems Assets4Rail shares the Shift2Rail view of having an ageing European railway infrastructure that needs to cope with the expected increased traffics in the future. Likewise, reliable rolling stock will be required to crystallize the... ver más

31/12/2021

EURECAT

6M€

Presupuesto del proyecto: 6M€

Líder del proyecto

FUNDACIO EURECAT No se ha especificado una descripción o un objeto social para esta compañía.

TRL 2-3 | 58M€

Fecha límite participación Sin fecha límite de participación.

Ver 25 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2021-12-31

S2R-OC-IP3-01-2018: Measuring and monitoring devices fo...

I+D

Cerrada hace 6 años

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Información adicional privada

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

25 Participantes

EURECAT

383.94K€ | Lider

LOGISFASHION

594.56K€ | Participante

VILNIUS TECH

97.19K€ | Participante

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Duración del proyecto: 37 meses Fecha Inicio: 2018-11-29
Fecha Fin: 2021-12-31

Líder del proyecto

FUNDACIO EURECAT No se ha especificado una descripción o un objeto social para esta compañía.

TRL 2-3 | 58M€

Presupuesto del proyecto 6M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Assets4Rail shares the Shift2Rail view of having an ageing European railway infrastructure that needs to cope with the expected increased traffics in the future. Likewise, reliable rolling stock will be required to crystallize the desired modal shift to rail. Both goals relay on a proactive and cost-effective maintenance and intervention system in the assets. Assets4Rail aims to contribute to this modal shift by exploring, adapting and testing cutting-edge technologies for railway asset monitoring and maintenance. To achieve that, Assets4Rail follows a twofold approach, including infrastructure (tunnel, bridges, track geometry, and safety systems) and vehicles. A dedicated information model (BIM) will be the keystone of the infrastructure part of the project. This model with integrated algorithms will gather and analyze the information collected by specific sensors which will monitor subsurface tunnel defects, fatigue consumption, noise and vibrations of bridges as well as track geometry. On the other hand, train monitoring will include the installation of track-side and underframe imaging automated system to collect data for detecting specific types of defects that have non-negligible impacts on infrastructure. The additional use of the RFID technology will enable the smooth identification of trains and single elements, associated with the identified rolling stock failures. The combination of mentioned real-time collected data with existing data along the implementation of deep learning techniques for assessing large data volumes will pave the way towards a cost-effective and proactive maintenance process of infrastructure and rolling stock. In addition, two innovative intervention methods, noise rail dampers and the cleaning of long tunnel drainage pipes, will be validated on field. Assets4Rail will benefit from a strong multidisciplinary consortium committed to concrete exploitation activities aligned towards the achievement of the challenging project objectives.

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