Summary
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.
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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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/826250 |
| Start date: | 01-12-2018 |
| End date: | 31-12-2021 |
| Total budget - Public funding: | 5 506 631,00 Euro - 4 710 167,00 Euro |
Cordis data
Original description
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.
Status
CLOSEDCall topic
S2R-OC-IP3-01-2018Update Date
27-10-2022
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Organisations
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| FUNDACIO EURECAT (Coördinator)
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| AB LIETUVOS GELEZINKELIAI
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| AB LTG INFRA
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| AIMEN
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| AIT AUSTRIAN INSTITUTE OF TECHNOLOGY GMBH (AIT Austrian Institute of Technology GmbH)
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| AITEC ASESORES INTERNACIONALES SRL
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| BEXEL CONSULTING DOO BEOGRAD
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| ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS (CERTH)
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| EURNEX e. V.
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| FCC AUSTRIA ABFALL SERVICE AG
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| FERROVIE DELLO STATO ITALIANE SPA
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| LORAM FINLAND OY
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| OLTIS GROUP AS
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| RETE FERROVIARIA ITALIANA
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| ROADSCANNERS OY