Objective
The AIRMES project focusses on optimising end-to-end maintenance activities within an operator’s environment. It will develop and validate an innovative, state-of-the-art, integrated maintenance service architecture that will be a key step in achieving the goal of no technically-induced aircraft operational disruptions in European air traffic. The AIRMES consortium is led by an airline / MRO that has a clear vision, and is keen to exploit radically new and challenging ways to achieve their objectives. They are supported by expertise in systems health monitoring, semantics, knowledge based engineering, architecture, diagnostics, prognostics, maintenance planning and optimisation, and mobile tools for remote support of maintenance activities. Truly a unique consortium.
The service architecture will be structured around an operationally focused collaborative environment IT platform, integrating multiple functionalities and it will accelerate the shift in European aviation, from scheduled maintenance to condition-based maintenance. By blending this knowledge based environment with mobile tools for remote support, using augmented reality technologies and two way communication solutions, the resulting service architecture will provide contextualised, updated and integrated information to all members of the maintenance value chain.
The impact of this project on European Air Traffic will be significant. In Europe, 5.8% of all flights are delayed due to direct aircraft technical causes and consequential delays on subsequent flights; the cost of this disruption is estimated at 2.8 B€. By reducing operational disruptions, reducing the average delay time and improving aircraft utilisation, through a grant value of 4.6 M€, the impact of this 48 month, 12 partner AIRMES project will be significant and assessed to around 1B€ per year.
Fields of science
- natural sciencescomputer and information sciencessoftwareapplication softwarevirtual reality
- natural sciencescomputer and information sciencesdata sciencebig data
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraft
- natural sciencescomputer and information sciencesdata sciencedata mining
- natural sciencescomputer and information sciencesdata sciencedata exchange
- natural sciencescomputer and information sciencesinternetsemantic web
Programme(s)
Call for proposal
H2020-CS2-CFP01-2014-01
See other projects for this call
Funding Scheme
CS2-RIA - Research and Innovation action
Coordinator
1700 008 Lisboa
Portugal
Participants (11)
WC1A 1HB London
95870 Bezons
MK43 0AL Cranfield - Bedfordshire
2740 120 Porto Salvo
75008 Paris
1752 Villars S Glane
60323 Frankfurt
91120 Palaiseau
78140 Velizy-villacoublay
2628 CN Delft
2500-750 Caldas Da Rainha