Research on Enhancing the Meteorological Support Capacity of Civil Aviation Air Traffic Control Based on Intelligent Technology
Huang Yanxia

Delingha Airport, Delingha City, Haixi Mongolian and Tibetan Autonomous Prefecture, Qinghai Province 817000；

Abstract: With the growth of civil aviation flight volume and the frequent occurrence of extreme weather, air traffic control meteorological support is facing higher requirements such as precise forecasting, real-time early warning, and multi-departmental collaboration. Based on the meteorological business practice of civil aviation air traffic control, this paper analyzes the pain points in the monitoring and forecasting of complex weather conditions such as thunderstorms, low-altitude wind shear, and icing. It introduces intelligent technologies such as machine learning and big data analysis to construct an integrated meteorological service system of "precise monitoring - intelligent forecasting - dynamic decision-making". And in response to the challenges such as data security, model generalization and talent gap faced in its practical application, strong countermeasures and suggestions are put forward from the dimensions of technology, management and talent cultivation, aiming to provide technical support and management reference for the operational safety of civil aviation.

Key words: Civil Aviation Air Traffic Control Thunderstorm Low-altitude wind shear Freezing; Meteorological guarantee Intelligent technology

References

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