Meteorological Disaster Monitoring and Farly Warning System Design of Civil Aviation Industry Based on Data Fusion Method

Meteorological disasters are one of the major natural disasters threatening the flight safety of civil aviation. This paper proposes a civil aviation meteorological disaster monitoring and early warning system based on fusion data method. The data processing layer of the system supports the data fusion and mining functions. The study shows that finding the correction between data helps identify key information quickly and accurately. The database includes the meteorological data, operation data, remote sensing data (RS data), and historical disaster data et. al. The data fusion module is used to effectively realize the comprehensive monitoring and early warning functions of the meteorological disaster monitoring and early warning system before, during and after the event, and improve the efficiency of the monitoring and early warning system from prevention, response and recovery.