低真空管道磁浮系统环境测试与数据处理

Environmental Testing And Data Processing Of Low Vacuum Pipeline Maglev Test Bed

摘要:

针对低真空管道磁浮交通运输试验台搭建了数据采集系统，采用了GPS信号授时与IEEE1588以太网时钟同步的方式实现了分布式数据采集系统的时钟同步网络；对试验台的多传感器进行了低真空和电磁场环境的影响测试，发现低真空环境下激光位移传感器产生了测量值减小的现象；同时以激光位移传感器为例，对比低真空环境下不同数据降噪方法对添加了不同信噪比的高斯噪声进行滤波处理，得出了不同信噪比下不同降噪方法的处理效果，以此为依据在工程实际情况选出最合适的降噪方法来得到更好的降噪效果；最后采用了基于不同降噪方法差值的数据异常值处理方法，与普通的区间估计异常值处理方法对比，从跳点去除效果和总去除个数证明了基于小波降噪的差值处理法对异常值处理的有效性，满足了实际工程的需要。

Abstract:

A data acquisition system is built for the low vacuum pipeline maglev transportation test bed. The clock synchronization network of distributed data acquisition system is realized by using global positioning system (GPS) signal timing and IEEE1588 clock synchronization; The effects of low vacuum and electromagnetic field on the multi-sensor in the test bed are tested. It is found that the measurement value of the laser displacement sensor decreases in the low vacuum environment; At the same time, the laser displacement sensor is taken as an example, and different data noise reduction methods are compared to filter the Gaussian noise with different signal-to-noise ratio, and the processing effect of different noise reduction methods under different signal-to-noise ratio is obtained. According to the actual situation of the project, the most appropriate noise reduction method is selected to get better noise reduction effect; Finally, a data outlier processing method based on the difference of different noise reduction methods is adopted. Compared with the ordinary interval estimation outlier processing method, the effectiveness of the difference processing method based on wavelet noise reduction is proved from the effect of outlier jump removal and the total number of removal, which meets the needs of practical engineering.