【摘要】：QAR海量數(shù)據(jù)分析是航空安全管理的一個重要課題,準確而高效地挖掘其中蘊含的飛行操作模式、評估其風險水平,是切實提高飛行操作品質的關鍵。然而,飛行過程中飛行員需要根據(jù)動態(tài)變化的環(huán)境條件、飛機狀態(tài),對油門、桿、盤、舵等設備進行操作,是一個需要不斷調整、相互配合的過程,這增加了對飛行操作模式及其風險進行分析的難度。本文從飛行參數(shù)多元時間序列數(shù)據(jù)的特征提取及相似性度量入手,通過聚類挖掘蘊含的飛行操作模式,進而,通過分析飛行操作模式與QAR監(jiān)控指標值之間的關聯(lián)關系,量化不同飛行操作模式的風險水平。最后,本文以首都機場特定機型著陸階段QAR實際數(shù)據(jù)為例,驗證了模型的有效性。
[Abstract]:QAR magnanimity data analysis is an important subject in aviation safety management. Accurately and efficiently mining the flight operation mode and evaluating its risk level is the key to improve flight operation quality. However, during the flight, the pilot needs to operate the accelerator, rod, plate, rudder and other equipment according to the dynamic changing environmental conditions, the status of the aircraft, and so on. It is a process that needs to be adjusted and coordinated with each other. This makes it more difficult to analyze the flight operation mode and its risks. This paper starts with feature extraction and similarity measurement of flight parameter multivariate time series data, mining flight operation mode by clustering, and then analyzes the relationship between flight operation mode and QAR monitoring index. Quantify the risk levels of different flight modes. Finally, this paper takes the actual data of QAR in the landing stage of specific aircraft at Capital Airport as an example to verify the validity of the model.
【作者單位】： 中國科學院科技戰(zhàn)略咨詢研究院;中國科學院大學;
【分類號】：V328.1

【相似文獻】

相關碩士學位論文 前1條

1 楊繹煊;基于QAR數(shù)據(jù)的航班運行安全風險研究[D];中國民航大學;2016年

，

本文編號：2260069