Method and device for determining state of railway ballast bed

Abstract

The invention discloses a method and a device for determining the state of a railway ballast bed. The method comprises the following steps of: extracting a ballast bed internal analysis data matrix of sampling points after a target sampling point sequence number corresponding to a maximum signal amplitude from an obtained original data matrix; determining the time difference between adjacent lines according to the total number of time windows taken by a radar test system and single-channel radar signal sampling points; integrating each column of data of the ballast bed internal analysis data matrix along a time axis by using a time difference between adjacent rows, and constructing a current ballast bed state characterization value of each collection channel to obtain a characterization value sequence; performing moving averaging on the characterization values of the current ballast bed states in the characterization value sequence by utilizing a specified length range to obtain a target ballast bed state characterization value; and determining a current track bed smudginess rate corresponding to the target track bed state characterization value according to a preset correlation between the track bed state characterization value and the track bed smudginess rate. The method and the device for determining the state of the ballast bed by using the characterization value have the advantages of high calculation efficiency and high sensitivity.

Description

technical field [0001] The invention relates to the technical field of railway infrastructure detection, in particular to a method and device for determining the state of a railway crushed stone bed. Background technique [0002] This section is intended to provide a background or context to embodiments of the invention that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] Ballasted track is the main track structure form of ordinary speed railway and 200-250km / h high-speed railway in my country, and gravel track bed is the basic component of ballasted track structure. As the service time increases, the state of the gravel ballast bed will gradually deteriorate. The common problems are mainly manifested in the form of dirty ballast bed, mud turning, etc., which will affect the elasticity and drainage performance of the ballast bed, induce track irregularities, and lead to a decline in the quality of tr...

AI Technical Summary

Problems solved by technology

Investigations have shown that the distribution of dirty components in the ballast bed is usually in a gradual transition state, and the traditional analysis method that relies on tracking the radar electromagnetic signal reflection characteristics of the gravel ballast bed is difficult to adapt to the quantitative evaluation of the ballast bed state

[0005] The key to using ground radar to detect gravel bed is to construct electromagnetic indicators that can characterize the state of the ballast. Foreign countries have proposed a method to identify the state of the gravel bed based on the envelope amplitude of high-frequency radar scattering signals, but the corresponding data processing steps have evolved from traditional methods. In the past, there were many data processing steps, especially the gain adjustment step was retained. Different gain modes and parameter values ​​are highly empirical, and have a significant impact on calculation results and display effects, making it difficult to standardize and promote. Domestic scholars also proposed to apply a window for radar signals. function based on the image energy value to establish the indicator of the dirtiness state of the ballast bed, but the specific calculation results of this method are closely related to the form of the window function applied; some domestic scholars have proposed to use spectrum transformation for radar signals to perform full-band or main-frequency Integral calculation within the coverage section is a method to establish the indicator of the dirtiness state of the ballast bed, but this method needs to carry out spectrum transformation for the original signal, and the calculated result is closely related to the set investigation frequency range

It can be seen that no matter which of the above methods requires additional data processing, it increases the amount of calculation and reduces data sensitivity.

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