Air Transport

In the aviation industry, large amounts of aviation domain data are often collected and used for monitoring, evaluation, diagnosis, simulation, emulation, design and decision-making, but the complete and systematic articulation and use of big aviation data remains an unknown area. How to make effective use of big aviation data and excavate its intrinsic value for the aviation industry has become an urgent research direction and subject in the field of aviation.

Debay cooperates with aircraft manufacturers, through big data analysis technology, and uses real-time transmitted ACARS data in the course of aircraft test flight and operation, post-flight QAR data, as well as ground system reliability data, maintenance records and other types of data, to carry out aircraft fault diagnosis and health management, and determine the components that may fail and its impact on the aircraft. The collected and analyzed data will be sent back to the ground station so that the maintenance technicians can prepare the aircraft spare parts and disassembly tools in advance, which will be used for replacement in time after landing, thus reduce the risk of flight delays.

Based on its deep technical heritage and experience in big data applications, Debay is effective in helping airlines and aircraft manufacturers to build a big aviation data application system. Debay enables airlines to leverage big data to determine the personalized services that should be deployed and optimize business operations to enhance customer adhesion. Debay can integrate passengers' activities on the Internet with the isolated data during their travels, use data analysis to determine customer needs and preferences, and provide customers with targeted product recommendations. This not only can save huge advertising costs in the public media for airlines, but also gets closer to the customer's behavior habits.