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QAR全称Quick access recorder,是一种标准的机载飞行数据记录设备,QAR数据是时序数据,采样频率高,数据量巨大。通过对QAR数据的研究,我们可发现其中相当多列的数据存在冗余或是遵循一定的规律。利用Visual Studio开发环境结合SQL Server数据库,将QAR数据划分为滑行起飞、爬升、巡航、下降、进近着陆等五个阶段,进一步针对不同阶段中不同特征的数据列设计不同的压缩方法,用列式压缩存储的方法去除QAR列数据中的冗余,对QAR数据进行更加有效地管理。
QAR full name Quick access recorder, is a standard airborne flight data recording equipment, QAR data is time series data, high sampling frequency, huge amount of data. Through the study of QAR data, we can find that a considerable number of columns of data there is redundancy or follow certain rules. Using Visual Studio development environment combined with SQL Server database, the QAR data is divided into five stages of take-off, climb, cruise, descent, approach and landing, and further different compression methods are designed for data columns of different features in different phases. Compression-based storage eliminates redundancies in QAR column data and manages QAR data more efficiently.