- Start: 01/12/2018
- End: 31/05/2022
The main objective of ASSETS4RAIL is to explore, adapt and test 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.
Assets4Rail will benefit from a strong multidisciplinary consortium consisting of nineteen partners from ten different countries. Among them EURECAT, assuming the project coordination; EURNEX managing the with technical coordination; ZAG, leading the workstream focused on the infrastructure; TUB leading the vehicle monitoring workstream; and FSI with RFI and Trenitalia and Lithuanian Railways, who will provide specific end user view expertise. In this consortium, AIMEN will bring the expertise developing monitoring systems, computer vision systems and Artificial Intelligence, leading the development of imaging train monitoring systems.
The main objective of ASSETS4RAIL is to explore, adapt and test 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.
Assets4Rail will benefit from a strong multidisciplinary consortium consisting of nineteen partners from ten different countries. Among them Eurecat, assuming the project coordination; EURNEX managing the with technical coordination; ZAG, leading the workstream focused on the infrastructure; TUB leading the vehicle monitoring workstream; and FSI with RFI and Trenitalia and Lithuanian Railways, who will provide specific end user view expertise. In this consortium, AIMEN will bring the expertise developing monitoring systems, computer vision systems and Artificial Intelligence, leading the development of imaging train monitoring systems.
- Sectors: Railway
- Financing programme: Horizon 2020
- R&D&i: Integrated monitoring and control systems
- Leader: FUNDACIÓ EURECAT
- Partners: AIMEN Centro Tecnológico, AIT Austrian Institute of Technology, BEXEL Consulting, AITEC-INTL, EURNEX, FCC AT, Lithuanian Railways, OLTIS, ROADSCANNERS, SENER, TU Berlin, VGTU, DICEA, University of Leeds, Schrey & Veit GmbH, ZAG, WITT
- Acronym: ASSETS4RAIL
- Ambit: International
- Web: http://www.assets4rail.eu/
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