基于飞行载荷的大数据实测方法研究

飞行载荷实测是全面、定量评定飞机结构强度的必要环节，在飞行试验中起着至关重要的作用。传统的有人机、小型机载荷标定需要评测的参数仅需要数十个或几十个关键参数，实时采集系统通道量较小，实时监控系统服务器压力较小。随着航空工业的飞速发展，大型机、无人机等需要评定的参数量急速上升到数百个，而采集通道成为瓶颈，传统的测量方法难以满足需求。针对飞行载荷实测的海量参数难以测试问题，文章提出了一种通道复用的方案，良好的解决了海量数据难以实时测量问题。经验证，该方案可良好的运用在各种型号的飞行载荷海量数据实测中。

Research on the Big Data Test Technology of Flight Load

Flight load test playing a vital role in flight test is the necessary link which can evaluate the aircraft comprehensively and quantitatively. The load calibration of the traditional man-machine and small aircraft evaluate parameters need only about a dozen or dozens of key parameters. The real-time collect system channel volume is smaller, and the pressure of real-time monitoring and control system server is less. Along with the rapid development of aviation industry, the needing evaluated parameters of the large aircraft and unmanned aerial vehicles zoom to hundreds. And the collect system channel volume becomes bottle-neck. The traditional measument ways are difficult to satisfy the requirements. In view of the problem that the flight load test of mass parameters are difficult to test, the paper put forward a kind of channel multiplexing scheme, which can solve the problem that the mass parameters are difficult to test. It''s verified that the scheme can be well applied to all kinds of load data measured in flight.