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AutoScan – Rail inspection by autonomous systems (AutoScan)
AutoScan – Rail inspection by autonomous systems
(AutoScan)
Date du début: 1 juin 2016,
Date de fin: 31 mai 2018
PROJET
TERMINÉ
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 moreThe 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
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