A Filtering Method Applied to Basic Chord Orientation Data of Orbit Inspection Instrument

Abstract

The invention discloses a filtering method applied to the basic chord-orbit data of a track inspection instrument, which comprises the following steps: 1) Firstly, the first-order forward difference is calculated for the one-dimensional array X of the basic chord-orbit original data to obtain X1; Calculate the mean value of X1 to obtain the number Y1; then calculate the deviation of each data point in X1 separately to obtain the deviation array Y2; finally calculate the variance of Y2 to obtain the number Y3; 2) calculate the mean value of X to obtain the number Z1; then calculate X separately The deviation of each data point in Z2 is obtained to obtain the deviation array Z2; and then the variance of Z2 is obtained to obtain the number Z3; 3) Calculate the weight of each data point in Z2; 4) According to the normalized weight pair X is weighted and calculated to obtain a normalized value C; 5) Calculate the filtered one-dimensional array of X according to the recursive formula. The calculation speed of the invention is fast, which is suitable for the data processing speed requirement of the track inspection instrument, and the method can effectively filter out the sharp noise interference in the signal.

Description

technical field [0001] The invention relates to a signal filtering method, in particular to a filtering algorithm applied to the basic chord-orientation data of an orbit detector. Background technique [0002] Track static inspection refers to the use of various road inspection tools or equipment (track rulers, strings, and track detectors, etc.) to detect various data on the track without the action of train loads. The main contents of the inspection include gauge, level ( Distortion), height, rail direction and other track geometric dimensions, as well as the status of components such as rails, coupling parts, sleepers, anti-climbing equipment, ballast beds and turnouts. In recent years, the emergence of track inspection instrument equipment has greatly improved the efficiency of railway engineering departments in detecting the status of rails and components. The data collection speed of track inspection instruments is fast and the number is large. The collected data can b...

AI Technical Summary

Problems solved by technology

[0003] The track detector can collect a variety of track status information, but due to the interference of various factors such as mechanical parts vibration and the environment on the sensor, the collected data is often mixed with noise signals. For example, the basic chord-rail direction data collected by the track detector will appear Spiky noise, i.e. the signal has large abrupt changes at individual acquisition points

Traditional denoising methods, such as using a median filter for filtering processing, are prone to signal loss and are not conducive to preserving the edge information of the signal

If these collected data are not properly processed or processed in an inappropriate way, it will seriously affect the evaluation of the track status by the railway engineering department and increase safety hazards

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