民航气象大数据综合分析应用
Comprehensive Analysis and Application of Big Data in Civil Aviation Meteorology
DOI: 10.12677/sea.2026.154055, PDF,   
作者: 黄登峰:民航西南地区空中交通管理局气象服务部,四川 成都
关键词: 民航气象大数据虚拟化云平台飞行安全 Civil Aviation Meteorology Big Data Virtualization Cloud Platform Flight Safety
摘要: 随着大数据时代到来,民航气象领域迎来新变革。本文深入探讨民航气象大数据的综合分析应用,阐述大数据在民航气象工作中的现状,分析现存问题,提出针对性建议,旨在通过大数据技术提升民航气象服务质量,保障飞行安全,展望民航气象大数据服务系统的发展前景。本文以西南空管局气象中心为实证案例,量化评估大数据与虚拟化技术在民航气象业务中的应用价值,构建民航气象大数据服务平台参考架构,系统梳理国内外研究现状并补充规范参考文献,为提升气象服务精度、保障飞行安全和运行效率提供可落地的技术方案与实施路径。
Abstract: With the advent of the big data era, the field of civil aviation meteorology has ushered in new reforms. This paper deeply discusses the comprehensive analysis and application of big data in civil aviation meteorology, expounds the current situation of big data in civil aviation meteorological work, analyzes existing problems, and puts forward targeted suggestions. It aims to improve the quality of civil aviation meteorological services and ensure flight safety through big data technology, and prospects the development prospect of the civil aviation meteorological big data service system. Taking the Meteorology Division of Southwest Air Traffic Management Bureau as an empirical case, this paper quantitatively evaluates the application value of big data and virtualization technology in civil aviation meteorological services, constructs a reference architecture of civil aviation meteorological big data service platform, systematically sorts out the research status at home and abroad, and supplements standardized references, so as to provide implementable technical solutions and implementation paths for improving the accuracy of meteorological services and ensuring flight safety and operation efficiency.
文章引用:黄登峰. 民航气象大数据综合分析应用[J]. 软件工程与应用, 2026, 15(4): 595-601. https://doi.org/10.12677/sea.2026.154055

参考文献

[1] 吴子轩. 基于大数据的民航运行安全气象风险管控平台设计与应用[J]. 网络空间安全, 2022, 13(6): 98-102.
[2] Song, W. and Ye, X.C. (2025) A Comprehensive Review of Advances in Civil Aviation Meteorological Services. Atmosphere, 16, Article 1014.
https://doi.org/10.3390/atmos16091014
[3] 郭宪超, 李廷元. 大数据背景下民航气象服务的探讨[J]. 现代计算机, 2021(1): 111-114+120.
[4] 邓武, 李鑫焱, 周相兵, 等. 民航数据安全共享关键技术及方法综述[J]. 中国民航大学学报, 2025, 43(2): 8-18.
[5] 杨波, 蔡雪薇, 刘鑫华, 等. 中央气象台航空气象预报技术系统进展[J]. 气象科技进展, 2021, 11(3): 145-150.
[6] 王艳. 基于VMware虚拟化技术在民航气象信息系统中的应用与实现[J]. 软件工程与应用, 2023, 12(6): 810-817.
[7] 张民. 利用大数据分析提升民航飞行控制系统故障诊断的准确性[J]. 今日制造与升级, 2024(7): 23-25+69.
[8] 陈阳权. 多源数据融合分析平台的构建思路及实践[J]. 国际航空航天科学, 2025, 13(3): 85-95.
[9] 吴勇. 基于混合云的机场大数据平台设计[J]. 企业科技与发展, 2022(7): 29-31.
[10] 卢晓光, 安晨晖, 张喆, 等. 融合航空器监视数据的航空气象参数反演及验证[J]. 信号处理, 2022, 38(6): 1293-1305.
[11] 郭培贤, 陈伟, 白艳秋, 等. 一种基于民航气象大数据库的数据构建处理方法及系统[P]. 中国专利, CN202211178985.8. 2022-11-08.