Each second a plane takes off in the world. Each of these planes today is equipped with an impressive quantity of chips and other digital sensors. An engine can soon generate 5 000 signals to be checked every second. Others can produce 10 To of data by flight.
Aircraft manufacturers, motoristes, equipment manufacturers, airline companies, all are on the outlook for any megadata which allow to anticipate efficient maintenance of all devices. Thanks to Big Data, we can make today speak the parts of the plane: its wear, its reaction in the conditions of atmospheric pressures, in the vibrations, in the magnetic field …
Aircraft manufacturers, engine and equipment manufacturers, airline companies, all are on the lookout for any megadata which permits to anticipate the aircraft maintenance. Thanks to Big Data, we can now make sens with collected data on devices of the plane: its wear, its reaction in response to certain atmospheric pressure, to vibrations or to magnetic fields …
The predictive maintenance is one of the most important axes of development in the aircraft industry: following the example of Safran which developed an entity dedicated to Big Data, Safran Analytics, leading the airline companies to reduce their fuel consumption, thanks to on-line data analysis of the engines during the flights.
Similar enthusiasm for Airbus company which has set up a data basis to evaluate and experiment Big Data projects or for GE which has spread a European platform allowing its manufacturers to continuously check their installations so that they can give real time advises to their customers.
The exploitation of Big Data is also an advantage for pilots who can rely on better indications of meteorological events and soon for the travelers themselves: 44% of companies anticipate to set up a geolocation of luggage by 2018.
By INI consortium/ November 2017
