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基于多源数据融合的下滑台信号质量分析方法

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近年来,航空安全对于中国民航发展尤为重要,在一些大型繁忙运行中会有下滑台信号不稳定情况,甚至导致中止进近或复飞等不安全事件.传统的不安全事件追溯和原因分析方式存在排查时间长、效率低等缺点,为机场安全运行带来了巨大的风险和威胁.ADS-B数据、二次雷达站数据以及QAR数据中均包含了丰富的数据内容,本文采用航班的多源数据融合技术对航班实际的飞行高度数据进行处理和分析,并以下滑道结构的曲线形式对下滑台信号质量进行可视化展示,实现对机场下滑台的信号质量分析,以期为以下滑台信号不稳定造成的不安全事件原因分析提供参考.
Signal Quality Analysis Method of Glide Platform Based on Multi-source Data Fusion
In recent years,aviation safety is particularly important for the development of China's civil aviation.In some large and busy operations,there are unstable glide signals,which even lead to unsafe events such as the suspension of approach or go-around.Traditional tracing and cause analysis methods of unsafe events have the disadvantages of long investigation time and low efficiency,which bring huge risks and threats to safe operation of airports.ADS-B data,secondary radar station data and QAR data all contain rich data content.This paper adopts the multi-source flight data fusion technology to process and analyze the actual flight altitude data of flights,and visually displays the signal quality of glide platform in the curve form of the glide slope structure to realize signal quality analysis of airport glide platform,so as to provide reference for cause analysis of unsafe events caused by unstable glide platform signal.

multi-source dataglide path structurevisualizationsignal quality analysis

郝瑞锋、彭再川、李许光

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北京京航安机场工程有限公司,北京 100176

多源数据 下滑道结构 可视化 信号质量分析

2024

民航学报

民航学报

ISSN:
年,卷(期):2024.8(4)