航空气象数据统计分析平台的实现与应用
Implementation and Application of an Aeronautical Meteorological Data Statistical Analysis Platform
DOI: 10.12677/csa.2026.165177, PDF,    科研立项经费支持
作者: 陈阳权:民航新疆空中交通管理局气象中心,新疆 乌鲁木齐
关键词: 航空气象统计分析机场实况航空器空中报告.NET 10EChartsAeronautical Meteorology Statistical Analysis Airport Weather Observation Aircraft Weather Report .NET 10 ECharts
摘要: 为进一步提升新疆区域航空气象历史数据的应用效能,文章基于.NET 10与ECharts等技术,设计并实现了一套航空气象数据统计分析平台。该平台以机场例行天气报告、特殊天气报告、航空器空中报告以及各类预警预报产品为核心数据源,构建了涵盖数据采集、标准化处理、存储管理、统计计算至可视化呈现的完整数据流转链路。在此基础上,平台实现了多维度数据统计挖掘功能,包括机场复杂天气条件的数据提取、气候趋势分析、统计报表生成,以及航路天气(如颠簸、积冰、风切变等要素)的统计特征分析。通过气候趋势分析、统计报表分析及航路天气统计分析等核心功能,平台为用户理解多年以来各类复杂天气的演变规律与统计特征提供了系统化的解决方案与可视化工具,同时为机场及区域气候数据分析提供了即时的数据支撑,显著减轻了一线业务人员在报表制作过程中的统计工作量。该平台的推广应用,为航空气象历史数据的定量化统计分析及运行决策支持提供了有效的技术手段。
Abstract: To further improve the utilization efficiency of historical aeronautical meteorological data in Xinjiang, this paper designs and develops an aeronautical meteorological data statistical analysis platform based on .NET 10, ECharts, and other technologies. Taking routine meteorological reports, special weather reports, aircraft weather reports, and various early warning and forecast products as the core data sources, the platform constructs a complete data flow process covering data collection, standardized processing, storage management, statistical calculation, and visual presentation. On this basis, multi-dimensional statistical analysis functions are realized, including extracting data on complex weather conditions at airports, climate trend analysis, statistical report generation, and statistical characteristic analysis of en route weather elements such as turbulence, icing, and wind shear. Relying on core functions including climate trend analysis, statistical report analysis, and en route weather statistical analysis, the platform provides systematic solutions and visual tools for users to understand the evolution patterns and statistical characteristics of various complex weather phenomena over the years. It also delivers timely data support for airport and regional climate data analysis, and greatly reduces the statistical workload of front-line staff in report compilation. The deployment of this platform provides an effective technical approach for quantitative statistical analysis of aeronautical meteorological historical data and operational decision support.
文章引用:陈阳权. 航空气象数据统计分析平台的实现与应用[J]. 计算机科学与应用, 2026, 16(5): 209-220. https://doi.org/10.12677/csa.2026.165177

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