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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.