CN-121504833-B - Railway dirty ballast bed slurry-turning mud-like disease evaluation method

CN121504833BCN 121504833 BCN121504833 BCN 121504833BCN-121504833-B

Abstract

The invention provides a method for evaluating a railway track bed slurry-casting and mud-casting disease, which relates to the technical field of geotechnical engineering, and is used for acquiring a continuous dynamic section view of a railway track bed in the process of passing a vehicle and a static section view of the railway track bed before the vehicle passes the vehicle, and determining a slurry-casting and mud-casting area and a normal area based on a Sobel operator processing section view to determine void pixel points and slurry blocking void pixel points of the slurry-casting and mud-casting area; and comparing the dynamic sectional views at adjacent moments to determine the dynamic expansion condition of the slurry-pumping area and the condition of the void being immersed in the slurry, and evaluating the slurry-pumping disease of the ballast bed as mild, moderate and severe by combining the static instability degree, the dynamic expansion condition and the condition of the void being immersed in the slurry.

Inventors

YANG ZHIHAO
DONG SHUO
FENG HUAIPING
DENG QIAN
GUO SHUAIJIE
ZHANG CHUNHUI
Han Naijie
Cheng Shiao

Assignees

石家庄铁道大学

Dates

Publication Date: 20260512
Application Date: 20251030

Claims (5)

1. A method for evaluating a railway dirty ballast bed slurry-casting mud-like disease is characterized by comprising the following specific steps: step 1, acquiring a continuous dynamic section view of a railway ballast bed in the process of passing a vehicle and a static section view of the railway ballast bed before passing the vehicle, processing the section view based on a Sobel operator to determine a slurry-casting and mud-casting area and a normal area, and determining void pore pixel points and mud blocking pore pixel points of the slurry-casting and mud-casting area based on gray values of the slurry-casting and mud-casting area and the normal area; Step 2, judging the slurry-stirring and mud-pumping disease stage of the ballast bed based on the values of void pixel points and slurry-blocking void pixel points of the static section, and judging the static instability degree of slurry-stirring and mud-pumping of the ballast bed according to the continuous and smooth condition of the edge profile of the slurry-stirring and mud-pumping area; step 3, comparing void pore pixel points of dynamic sectional views at adjacent moments with slurry blocking pore pixel points, and determining expansion conditions of a slurry-casting and mud-casting area and slurry-dyeing conditions of pores so as to represent deterioration and evolution trend of slurry-casting and mud-casting diseases; Step 4, constructing a disease occurrence index reflecting the probability of the occurrence of the slurry-casting and mud-casting disease of the desilting ballast bed by combining the static instability degree of the slurry-casting and mud-casting of the ballast bed and the deterioration evolution trend of the slurry-casting and mud-casting disease, and evaluating the slurry-casting and mud-casting disease of the ballast bed as mild, moderate and severe by combining the disease stage and the disease occurrence index; The method comprises the steps of obtaining a maximum gray value and a minimum gray value of a normal area, namely a pixel point with the gray value larger than the maximum gray value in a slurry-spreading and mud-spreading area is called a slurry-blocking pore pixel point, and a pixel point with the gray value smaller than the minimum gray value in the slurry-spreading and mud-spreading area is called a void pore pixel point; firstly carrying out variance processing on the gray value of the pixel point of each edge contour to obtain the stable variance of each edge contour, and carrying out average value operation on the stable variances of all edge contours to obtain the average stable variance of the ballast bed; performing curvature analysis on each edge profile to obtain an average absolute curvature of each edge profile; And carrying out weighted operation on the average stability variance and the comprehensive average absolute curvature of the ballast bed to obtain a static instability evaluation coefficient for quantifying the static instability degree.
2. The method for evaluating the railway track bed slurry-casting damage according to claim 1, wherein a Sobel operator is used for calculating a horizontal gradient value and a vertical gradient value of each pixel point in a railway track bed section, judging an error rate between a gradient amplitude of a current pixel point and a gradient amplitude of an adjacent pixel point, defining the pixel point with the error rate larger than an error rate threshold value as an edge pixel point, extracting an edge contour based on the edge pixel point to determine a slurry-casting soil-casting area and a normal area, defining a closed area as a slurry-casting soil-casting area and defining an unclosed area as a normal area.
3. The method for evaluating the railway track bed slurry-casting and mud-casting diseases is characterized in that when the horizontal gradient value and the vertical gradient value of each pixel point are calculated, the gray value of the pixel point and the gray value of the adjacent pixel point are multiplied by the horizontal gradient template of the Sobel operator, all the products are added to obtain the horizontal gradient value of the pixel, the gray value of the pixel point and the gray value of the adjacent pixel point are multiplied by the vertical gradient template of the Sobel operator, all the products are added to obtain the vertical gradient value of the pixel, and the formula on which the horizontal gradient value and the vertical gradient value are calculated is based is as follows: Wherein, the And Respectively the first Line 1 A horizontal gradient value and a vertical gradient value of the column pixel points; is the first Line 1 The gray values of the column pixels, 、 Index of pixel points of the railway ballast section; The formula according to which the gradient amplitude of the pixel point is generated is as follows: Wherein, the Is the first Line 1 Gradient magnitude of column pixel points; The formula according to which the error rate between the gradient amplitude of the current pixel point and the gradient amplitude of the adjacent pixel point is generated is as follows: Wherein, the Is the first to Line 1 The average gradient magnitude of all pixels adjacent to the column pixel, Is the first Line 1 Error rate of column pixel points.
4. The method for evaluating the slurry bubbling damage of the railway dirty ballast bed according to claim 1, wherein the method is characterized in that dynamic sectional views at each moment are acquired at intervals in the process of passing of a vehicle, and the first moment is acquired The void pore pixel point set and the slurry blocking pore pixel point set at each moment are respectively calibrated as follows 、 ; The indexes for representing the deterioration evolution trend of the slurry-pumping disease comprise average conversion rate, average growth rate of void pore pixels and average homonymous growth rate of slurry-blocking pore pixels, wherein the average growth rate of the void pore pixels and the average homonymous growth rate of the slurry-blocking pore pixels are used for representing the expansion condition of a slurry pumping area, and the average conversion rate is used for reflecting the condition that newly generated void pore pixels are converted into slurry-blocking pore pixels so as to represent the condition that the pores are impregnated with slurry; the specific formula is as follows: Wherein, the Is the first The growth rate of void pore pixels at each time, Is the first The slurry at each moment blocks the same rate of increase in pore pixels, Representing the number of elements in the collection, In the aggregate operation, belong to But not of Elements of (a) and (b); is the first The newly generated void pore pixels at each moment are converted into the conversion rate of the slurry blocking pore pixels, To void the average growth rate of the pore pixels, The average homonymy growth rate of the pixel points of the blocking aperture for the slurry, In order to achieve an average conversion rate, Is the first A set of void aperture pixels at a single time instant, Is the first A set of void aperture pixels at a single time instant, Is the first A set of void aperture pixels at a single time instant, Is the first The mud at each moment blocks the pore pixel set, Is the first The mud at each moment blocks the pore pixel set, Is the first The mud at each moment blocks the pore pixel set, For the index of the time of day, Is the total number of time instants.
5. The method for evaluating the railway track bed slurry-casting mud-like diseases according to claim 4, wherein the specific formula for constructing the disease occurrence index basis is as follows: Wherein, the As an index of occurrence of the disease, For the static instability of the evaluation coefficient, 、 And Is a weight coefficient, and ; Presetting a disease occurrence threshold, if the ballast bed is in a run-out stage and the disease occurrence index is not greater than the disease occurrence threshold, evaluating the ballast bed slurry-casting and mud-casting disease as mild, if the ballast bed is in the run-out stage and the disease occurrence index is greater than the disease occurrence threshold, evaluating the ballast bed slurry-casting and mud-casting disease as moderate, and if the ballast bed is in the slurry-casting and mud-casting stage, evaluating the ballast bed slurry-casting and mud-casting disease as severe.

Description

Railway dirty ballast bed slurry-turning mud-like disease evaluation method Technical Field The invention relates to the technical field of geotechnical engineering, in particular to a method and a system for evaluating a railway dirt ballast bed slurry-turning mud-pumping disease. Background The section view of the ground penetrating radar is an important tool for analyzing the track bed diseases, the section view can directly reflect the void condition of the track bed and the blocking condition of internal pores, the main reasons of the track bed slurry-casting and mud-casting diseases are that various loads cause the track bed to generate a large number of pores to cause the void, in spring, a large amount of water permeates into the track bed due to melting of ice and snow and sufficient rainwater, the water is combined with fine particles in the track bed to form slurry which is retained in the pores, the slurry retained in the pores is the main reason for causing the track bed slurry-casting and mud-casting diseases, the current evaluation of the track bed diseases is mostly limited to the study of static pores, and the evolution condition of the diseases of the pores in the track bed under dynamic load is not mentioned. In the prior art, application number CN202411152971.8 discloses a detection method and a detection device for predicting railway slurry-casting and mud-casting, which are used for obtaining a roadbed filler coefficient, a cyclic load coefficient and a radar detection coefficient of a railway, calculating a railway slurry-casting and mud-casting risk value based on the roadbed filler coefficient, the cyclic load coefficient and the radar detection coefficient, setting a risk value threshold value, comparing the slurry-casting and mud-casting risk value with the risk value threshold value, and predicting that slurry-casting and mud-casting occur when the slurry-casting and mud-casting risk value is greater than or equal to the threshold value. However, the prior art still has defects, although the application file is used for analyzing radar signals, the analysis is limited to analyzing and calculating the free water content of the ballast bed, the evolution process of water in the pores is not deeply analyzed, and the evolution condition of the slurry-turning mud-like disease of the ballast bed cannot be analyzed and determined. The above information disclosed in the background section is only for enhancement of understanding of the background of the disclosure and therefore it may include information that does not form the prior art that is already known to a person of ordinary skill in the art. Disclosure of Invention The invention aims to provide a method and a system for evaluating a railway dirty ballast bed slurry-casting mud-like disease, which are used for solving the problems in the background technology. In order to achieve the above purpose, the present invention provides the following technical solutions: A method for evaluating the slurry-like mud-like disease of a railway dirty ballast bed comprises the following specific steps: step 1, acquiring a continuous dynamic section view of a railway ballast bed in the process of passing a vehicle and a static section view of the railway ballast bed before passing the vehicle, processing the section view based on a Sobel operator to determine a slurry-casting and mud-casting area and a normal area, and determining void pore pixel points and mud blocking pore pixel points of the slurry-casting and mud-casting area based on gray values of the slurry-casting and mud-casting area and the normal area; Step 2, judging the slurry-stirring and mud-pumping disease stage of the ballast bed based on the values of void pixel points and slurry-blocking void pixel points of the static section, and judging the static instability degree of slurry-stirring and mud-pumping of the ballast bed according to the continuous and smooth condition of the edge profile of the slurry-stirring and mud-pumping area; step 3, comparing void pore pixel points of dynamic sectional views at adjacent moments with slurry blocking pore pixel points, and determining expansion conditions of a slurry-casting and mud-casting area and slurry-dyeing conditions of pores so as to represent deterioration and evolution trend of slurry-casting and mud-casting diseases; And 4, constructing a disease occurrence index reflecting the probability of the slurry-casting and mud-casting disease of the desilting ballast bed by combining the static instability degree of the slurry-casting and mud-casting of the ballast bed and the deterioration evolution trend of the slurry-casting and mud-casting disease, and evaluating the slurry-casting and mud-casting disease of the ballast bed as mild, moderate and severe by combining the disease stage and the disease occurrence index. Further, calculating a horizontal gradient value and a vertical gradient value of each pixel point in the railway b