Impulse noise filtering method and device for track geometry detection data

Abstract

The invention provides an impulse noise filtering method and device for track geometry detection data. The method comprises the steps that high-pass filtering processing is carried out on the collected track geometry detection data to generate track geometry irregularity data with trend terms filtered out; zero setting is carried out on the track geometry irregularity data in zones with the short-wave zone energy larger than a preset threshold value to generate track geometry data series with fragment pulse noise filtered out; forward difference calculation is carried out on the discrete track geometry data series sequentially according to a preset difference number and a preset T-S model to generate a difference value; the glitch length of the current track geometry detection data is calculated according to the absolute value of the difference value of the current track geometry data, a preset threshold value and a preset fuzzy rule; linear interpolation correction is carried out on the discrete track geometry data according to the glitch length of the track geometry detection data to generate filtered track geometry detection data. It is unnecessary to stimulate the value of a metric function and the value of a fuzzy basis function through a calculation rule, so that efficiency is improved by two orders of magnitude.

Description

technical field [0001] The invention relates to data processing technology, in particular to an impulse noise filtering method and device for track geometry detection data. Background technique [0002] High-speed railways put forward high smoothness requirements on the track. Even if the amplitude is small, it will have a great impact on the safety, stability, comfort and environmental noise of high-speed vehicles. Using track geometry detection data can detect track geometry defects in time, ensure the safe and reliable operation of high-speed trains, and provide a theoretical basis for track adjustment. The track geometry detection system adopts technologies such as laser scanning and image processing. According to the principle of inertial reference, the displacement, acceleration and angular velocity signals are filtered, compensated and synthesized to obtain geometric irregularity parameters such as track gauge, height, track direction and level. The detection accuracy...

AI Technical Summary

Problems solved by technology

[0007] Although the nonlinear filtering method of impulse noise can effectively improve the processing accuracy, its huge amount of calculation is unacceptable, and the railway mileage is long, the geometric data of the track is large, and the real-time requirements are high. Therefore, the nonlinear filtering method is very difficult. Difficult to meet the needs of impulse noise processing of track geometry data

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