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AutoScan

AutoScan – Rail inspection by autonomous systems

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EC-Contrib. €

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Partnership

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Project "AutoScan" data sheet

The following table provides information about the project.

Coordinator
I-MOSS NV 

Organization address
address: CORBIELAAN 5
city: BERTEM
postcode: 3060
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Belgium [BE]
 Project website http://www.autoscanproject.eu
 Total cost 1˙822˙055 €
 EC max contribution 1˙517˙894 € (83%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2. (PRIORITY 'Industrial leadership')
 Code Call H2020-FTIPilot-2015-1
 Funding Scheme IA
 Starting year 2016
 Duration (year-month-day) from 2016-06-01   to  2018-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    I-MOSS NV BE (BERTEM) coordinator 308˙634.00
2    TWI LIMITED UK (CAMBRIDGE) participant 427˙456.00
3    THE UNIVERSITY OF BIRMINGHAM UK (BIRMINGHAM) participant 380˙730.00
4    NOMAD TECH LDA PT (PORTO) participant 203˙467.00
5    AUTOMATITZACIO DE PROCESSOS I MEDIAMBIENT SL ES (SANT BOI DE LLOBREGAT) participant 197˙606.00

Map

 Project objective

There are 215,720km of rail track in Europe, of which 4,300 broken rails are found every year. Broken tracks are the biggest cause of derailments, leading to loss of life and major disruption to services. Maintenance costs for member states of repairing broken rails are around €2bn every year. With the rapid increase in train traffic, train speeds and load carried, there is an urgent need to optimise the maintenance regime and increase reliability of rail infrastructure. Overall integrity and safety maintenance costs in the UK alone are more than €2,276m in 2014, with 20-40% of that spent on tracks (€455m - €910m).

AutoScan system(TRL6); an autonomous robotic evaluation system that performs rapid NDT inspection of track, accurately detecting defects, their position and size so that accurate assessment and scheduling of repair work can be made by the network operator. Current methods or rail track inspection

AUTOSCAN will enable more frequent inspections of rail track which will significantly reduce lifecycle costs by enabling more efficient flaw detection and intervention. Operators will not need personnel to walk the track side, therefore improving safety. Overall inspection costs will reduce by at least 15% and probably significantly more

The aim of this project is to enhance the current prototype from TRL 6 to TRL 9 and develop a system proven in an operational environment suitable for commercial exploitation.

AutoScan will enable us to become more competitive within our major target market – Rail network operators and rail maintenance companies. With project development costs of €1,822,055 partly funded by company revenues, we aim to achieve a 2.3% European market penetration, with estimate sales revenues of €41M over the 5 years, with profits of €34.7M, providing an ROI of 1444%. We also anticipate creating over 50 jobs as a result of project AutoScan

 Deliverables

List of deliverables.
Development of business plan Documents, reports 2019-07-19 11:26:11
Developement of marketing materials Documents, reports 2019-07-19 11:26:10
Project website Other 2019-07-19 11:26:10

Take a look to the deliverables list in detail:  detailed list of AutoScan deliverables.

 Publications

year authors and title journal last update
List of publications.
2017 M. Wang, M. Entezami, E. Stewart, R. Lewis and S. Mosey
In-service Detection of Surface Cracks in Railhead using Rayleigh-wave EMATs
published pages: , ISSN: 0195-9298, DOI:
Journal of Nondestructive Evaluation 2019-07-19
2018 Lloyd, O., R., Lewis, R., Charlton, P., Mosey., S
Effects of Relative Motion on a Rayleigh Wave Electromagnetic Acoustic Transducer Operating on Aluminium
published pages: , ISSN: 2327-770X, DOI:
Insight The Journal of The British Institute of Non-Destructive Testing 2018 2019-07-19
2017 M. Entezami, P. Weston, E. Stewart, G. Yeo, M. Wang, L. Saade, C. Roberts R. Lewis, M. Hayward, S. Morley, S. Bayram and T. Kono
Lineside and On-board Monitoring Techniques for Infrastructure and Rolling Stock on High-Speed Lines
published pages: , ISSN: 2049-5358, DOI:
The International Journal of Railway Technology 2019-07-19

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The information about "AUTOSCAN" are provided by the European Opendata Portal: CORDIS opendata.

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