Curve section steel rail abrasion state evaluation method and device based on abrasion loss distribution characteristics

Abstract

The invention discloses a curve section steel rail abrasion state evaluation method and device based on abrasion loss distribution characteristics, and the method comprises the steps: respectively obtaining the detection data of each feature point in a plurality of abrasion areas of a steel rail profile, and carrying out the polynomial fitting of the detection data of each feature point in each abrasion area, obtaining a profile fitting function corresponding to each abrasion area; determining an abrasion value of the vertical abrasion area according to the profile fitting function of the vertical abrasion area; determining an abrasion value of the lateral abrasion area according to the profile fitting function of the lateral abrasion area; determining an abrasion value of the comprehensive abrasion area according to the profile fitting function of the comprehensive abrasion area and a preset linear function; according to the abrasion values of the multiple abrasion areas, the abrasion rate and the 90% quantile of the abrasion values are determined, and the abrasion state of the steel rail is analyzed. According to the method, the overall abrasion of the curve section steel rail can be comprehensively analyzed, so that more effective decision support is provided for railway maintenance.

Description

Technical Field

[0001] The invention relates to the technical field of railway engineering, and in particular to a method and a device for evaluating the wear state of rails in a curved section based on wear distribution characteristics. Background Art

[0002] This section is intended to provide a background or context to the embodiments of the invention recited in the claims. No description herein is admitted to be prior art by inclusion in this section.

[0003] As an important part of the railway track system, rails not only provide support and guidance during the travel of trains, but also bear the pressure, impact force, longitudinal inertia force and lateral centrifugal force from the wheels. During the interaction between wheels and rails, rails will wear, causing changes in the cross-sectional profile of the rails. When rails are severely worn, the wheel-rail contact area will increase, increasing the running resistance, which will directly affect the safe operation of trains and the maintenance cost of railways.

[0004] At present, the existing research on rail wear mainly focuses on the local area of ​​a single rail section. However, this method cannot comprehensively evaluate the overall wear of the rail in the curved section. At the same time, the evaluation of rail wear in the current research results is mainly based on the wear value, without considering other wear indicators. Therefore, it is necessary to propose a method that can comprehensively evaluate the condition of the rail in the entire curved section. Summary of the invention

[0005] The embodiment of the present invention provides a method for evaluating the wear state of a curved section rail based on the wear distribution characteristics, which is used to comprehensively analyze the overall wear of the curved section rail based on multiple wear indicators. The method includes:

[0006] The detection data of each characteristic point in a plurality of wear areas of the rail profile are respectively obtained, and a polynomial fitting is performed on the detection data of each characteristic point in each wear area to obtain a profile fitting function corresponding to each wear area; the plurality of wear areas are obtained by pre-dividing the rail profile according to a plurality of wear conditions; the plurality of wear areas include a vertical wear area, a lateral wear area and a comprehensive wear area, and one or more characteristic points are pre-set for each wear area; the vertical wear area includes wear in the vertical direction, the lateral wear area includes wear in the horizontal direction, and the comprehensive wear area includes wear in the vertical direction and wear in the horizontal direction;

[0007] According to the profile fitting function of the vertical wear area, the longitudinal coordinate difference of the characteristic points of the vertical wear area before and after the wear is calculated, and the longitudinal coordinate difference of the characteristic points of the vertical wear area is determined as the wear value of the vertical wear area;

[0008] According to the profile fitting function of the lateral wear area, the transverse coordinate difference of the characteristic points in the lateral wear area before and after the wear is calculated, and the transverse coordinate difference of the characteristic points in the lateral wear area is determined as the wear value of the lateral wear area;

[0009] According to the profile fitting function of the comprehensive wear area and the preset straight line function, the longitudinal coordinate difference and the transverse coordinate difference of the characteristic points in the comprehensive wear area before and after the wear are calculated respectively, and the wear value of the comprehensive wear area is determined according to the longitudinal coordinate difference and the transverse coordinate difference of the characteristic points in the comprehensive wear area;

[0010] According to the wear value of the vertical wear area, the wear value of the lateral wear area and the wear value of the comprehensive wear area, the wear rate of the characteristic point of the corresponding wear area and the ninetieth percentile of the wear value of the characteristic point of the corresponding wear area are determined;

[0011] The rail wear status is analyzed based on the wear values, wear rates and 90th percentiles of the wear values ​​in multiple wear areas.

[0012] The embodiment of the present invention further provides a device for evaluating the wear state of a curved section rail based on the wear distribution characteristics, which is used to perform a comprehensive analysis of the overall wear of the curved section rail based on a variety of wear indicators. The device includes:

[0013] A profile fitting function determination module is used to respectively obtain detection data of each feature point in multiple wear areas of the rail profile, perform polynomial fitting on the detection data of each feature point in each wear area, and obtain a profile fitting function corresponding to each wear area; the multiple wear areas are obtained by pre-dividing the rail profile according to multiple wear conditions; the multiple wear areas include a vertical wear area, a lateral wear area and a comprehensive wear area, and one or more feature points are pre-set for each wear area; the vertical wear area includes wear in the vertical direction, the lateral wear area includes wear in the horizontal direction, and the comprehensive wear area includes wear in the vertical direction and wear in the horizontal direction;

[0014] A wear value determination module for the vertical wear area, used to calculate the longitudinal coordinate difference of the characteristic points of the vertical wear area before and after wear according to the profile fitting function of the vertical wear area, and determine the longitudinal coordinate difference of the characteristic points of the vertical wear area as the wear value of the vertical wear area;

[0015] A wear value determination module for the lateral wear region, used to calculate the transverse coordinate difference of the characteristic points of the lateral wear region before and after wear according to the profile fitting function of the lateral wear region, and determine the transverse coordinate difference of the characteristic points of the lateral wear region as the wear value of the lateral wear region;

[0016] A wear value determination module for a comprehensive wear area, for calculating the longitudinal coordinate difference and the transverse coordinate difference of the characteristic points of the comprehensive wear area before and after wear according to the profile fitting function of the comprehensive wear area and the preset straight line function, and determining the wear value of the comprehensive wear area according to the longitudinal coordinate difference and the transverse coordinate difference of the characteristic points of the comprehensive wear area;

[0017] A wear index determination module, used to determine the wear rate of the characteristic point of the wear area and the ninetieth percentile of the wear value of the characteristic point of the wear area according to the wear value of the vertical wear area, the wear value of the lateral wear area and the wear value of the comprehensive wear area;

[0018] The wear state analysis module is used to analyze the rail wear state based on the wear values, wear rates and 90th percentiles of the wear values ​​in multiple wear areas.

[0019] An embodiment of the present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for evaluating the wear state of rails in a curved section based on the wear distribution characteristics is implemented.

[0020] An embodiment of the present invention further provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-mentioned method for evaluating the wear state of rails in a curved section based on wear distribution characteristics.

[0021] An embodiment of the present invention further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the method for evaluating the wear state of rails in a curved section based on wear distribution characteristics is implemented.

[0022] In the embodiment of the present invention, by respectively acquiring detection data of each feature point in a plurality of wear areas of the rail profile, polynomial fitting is performed on the detection data of each feature point in each wear area, so as to obtain a profile fitting function corresponding to each wear area; the plurality of wear areas are obtained by pre-dividing the rail profile according to a plurality of wear conditions; the plurality of wear areas include a vertical wear area, a lateral wear area and a comprehensive wear area, and one or more feature points are pre-set for each wear area; the vertical wear area includes wear in the vertical direction, the lateral wear area includes wear in the horizontal direction, and the comprehensive wear area includes wear in the vertical direction and wear in the horizontal direction; according to the profile fitting function of the vertical wear area, the longitudinal coordinate difference of the feature points of the vertical wear area before and after the wear is calculated, and the longitudinal coordinate difference of the feature points of the vertical wear area is determined as the vertical wear area. Wear value; according to the profile fitting function of the lateral wear area, calculate the transverse coordinate difference of the characteristic points of the lateral wear area before and after wear, and determine the transverse coordinate difference of the characteristic points of the lateral wear area as the wear value of the lateral wear area; according to the profile fitting function of the comprehensive wear area and the preset straight line function, calculate the longitudinal coordinate difference and transverse coordinate difference of the characteristic points of the comprehensive wear area before and after wear, respectively, and determine the wear value of the comprehensive wear area according to the longitudinal coordinate difference and transverse coordinate difference of the characteristic points of the comprehensive wear area; determine the wear rate of the corresponding characteristic points of the wear area and the 90th percentile of the wear value of the corresponding characteristic points of the wear area according to the wear value of the vertical wear area, the wear value of the lateral wear area and the wear value of the comprehensive wear area respectively; analyze the wear state of the rail according to the wear values, wear rates and 90th percentiles of wear values ​​of multiple wear areas. In the above process, the embodiment of the present invention takes into account multiple wear indicators (wear mean, average wear rate, and ninety percentile of wear) in different wear areas, and based on multiple wear indicators, realizes a comprehensive analysis of the overall wear of the curved section rail, thereby providing more effective decision support for railway maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0024] Figure 1 It is a flow chart of a method for evaluating the wear state of rails in a curved section based on wear distribution characteristics in an embodiment of the present invention;

[0025] Figure 2 A schematic diagram of the rail profile and various characteristic points in an embodiment of the present invention;

[0026] Figure 3 is a curve diagram of detection data of a certain rail cross section in an embodiment of the present invention;

[0027] Figure 4 This is a polynomial fitting effect diagram of the comprehensive wear area in an embodiment of the present invention;

[0028] Figure 5 Schematic diagram of a device for evaluating the wear state of rails in a curved section based on wear distribution characteristics in an embodiment of the present invention. DETAILED DESCRIPTION

[0029] To make the purpose, technical solution and advantages of the embodiments of the present invention more clear, the embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings. Here, the exemplary embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0030] Figure 1 Flow chart of a method for evaluating the wear state of rails in a curved section based on wear distribution characteristics in an embodiment of the present invention, the method comprising:

[0031] Step 101, respectively acquiring detection data of each characteristic point in a plurality of wear regions of a rail profile, performing polynomial fitting on the detection data of each characteristic point in each wear region, and obtaining a profile fitting function corresponding to each wear region; the plurality of wear regions are obtained by pre-dividing the rail profile according to a plurality of wear conditions; the plurality of wear regions include a vertical wear region, a lateral wear region and a comprehensive wear region, and one or more characteristic points are pre-set for each wear region; the vertical wear region includes wear in a vertical direction, the lateral wear region includes wear in a horizontal direction, and the comprehensive wear region includes wear in a vertical direction and wear in a horizontal direction;

[0032] Step 102, calculating the longitudinal coordinate difference of the characteristic points of the vertical wear area before and after the wear according to the profile fitting function of the vertical wear area, and determining the longitudinal coordinate difference of the characteristic points of the vertical wear area as the wear value of the vertical wear area;

[0033] Step 103, calculating the transverse coordinate difference of the characteristic points of the lateral wear region before and after the wear according to the profile fitting function of the lateral wear region, and determining the transverse coordinate difference of the characteristic points of the lateral wear region as the wear value of the lateral wear region;

[0034] Step 104, according to the profile fitting function of the comprehensive wear area and the preset straight line function, respectively calculate the longitudinal coordinate difference and the transverse coordinate difference of the characteristic points of the comprehensive wear area before and after the wear, and determine the wear value of the comprehensive wear area according to the longitudinal coordinate difference and the transverse coordinate difference of the characteristic points of the comprehensive wear area;

[0035] Step 105, determining the wear rate of the characteristic point of the wear area and the 90th percentile of the wear value of the characteristic point of the wear area according to the wear value of the vertical wear area, the wear value of the lateral wear area and the wear value of the comprehensive wear area respectively;

[0036] Step 106: analyzing the rail wear state according to the wear values, wear rates and 90th percentiles of the wear values ​​of the plurality of wear areas.

[0037] Each step is described in detail below.

[0038] In step 101, detection data of each feature point in multiple wear areas of the rail profile are respectively obtained, and polynomial fitting is performed on the detection data of each feature point in each wear area to obtain a profile fitting function corresponding to each wear area; the multiple wear areas are obtained by pre-dividing the rail profile according to multiple wear conditions; the multiple wear areas include vertical wear areas, lateral wear areas and comprehensive wear areas, and one or more feature points are pre-set for each wear area; the vertical wear area includes wear in the vertical direction, the lateral wear area includes wear in the horizontal direction, and the comprehensive wear area includes wear in the vertical direction and wear in the horizontal direction.

[0039] In a specific embodiment, the wear conditions of 6 characteristic points are used to reflect the wear conditions of the wear area. The wear condition of the rail is an important indicator for evaluating the track condition. The profile of the rail without wear is called the standard profile of the rail. Figure 2 Schematic diagram of rail profile and characteristic points in an embodiment of the present invention. Figure 2 As shown, it is assumed that the left side is the inner side of the track, where point A is the starting point of the top arc of the standard rail profile. It can generally be assumed that the outer side of point A rarely contacts the wheel and does not wear. Point B is the center point of the top of the standard rail profile, point C is the standard measurement point for manual measurement of vertical rail wear in the existing standard, point D is the starting point of the small radius arc, point E is the midpoint of the small radius arc, point F is the standard measurement point for manual measurement of lateral rail wear, and point G is the rail head boundary point. The six characteristic points A to F are used as characteristic points for comprehensive wear analysis of rails. According to the different wear directions, the rail profile is divided into vertical wear zone (between points AD), lateral wear zone (between points FG) and comprehensive wear zone (between points DF). Then, through the method of polynomial fitting, the rail profiles of the three areas are continuous according to discrete sampling points, laying the foundation for the next step of obtaining the wear values ​​of the wear characteristic points. As shown Figure 3 The following is a curve diagram of the test data of a certain rail section. Figure 3 It can be seen that the detection points on the profile are discontinuous. In order to obtain the rail profile at any point, a cubic polynomial is used for fitting. The polynomial fitting formula is S(x)=a i x 3 +bi x 2 +c i x+d i , where S(x) is the polynomial fitting function, a i 、b i 、c i d i They represent different coefficients of the polynomial fitting function corresponding to the wear area i, and x represents the horizontal coordinate of the characteristic point of the wear area i.

[0040] Taking the comprehensive wear area as an example, in order to obtain the profile curve on the abscissa x∈(-35.485,-25.35) of the comprehensive wear area, the detection data on this interval (as shown in Table 1) is substituted into the multi-factor fitting formula.

[0041] Table 1 Sampling points in the comprehensive wear area

[0042] Serial number x-coordinate y coordinate 1 -35.45 178.17 2 -35.37 178.62 3 -35.27 179.06 4 -35.16 179.5 5 -35.05 179.93 6 -34.93 180.35 7 -34.81 180.75 8 -34.67 181.14 9 -34.52 181.52 10 -34.34 181.89 11 -34.14 182.24 ... ... ... 38 -26.23 189.41 39 -25.83 189.58 40 -25.42 189.74

[0043] The solution is: a = 0.0139, b = 1.1687, c = 33.3033, d = 509.5327, and the profile curve of the comprehensive wear zone is S 综 (x) = 0.0139x 3 +1.1687x 2 +33.3033x+509.5327. Figure 4 The figure shows the polynomial fitting effect of the comprehensive wear area in the embodiment of the present invention. Similarly, the profile curve S of the vertical wear area can be solved. 垂 (x), for the lateral wear zone, the lateral wear zone curve is expressed as a function of y S 侧 (y). On this basis, a wear calculation method was designed according to the wear characteristics of the characteristic points in the three wear zones.

[0044] In step 102, according to the profile fitting function of the vertical wear area, the longitudinal coordinate difference of the characteristic points of the vertical wear area before and after wear is calculated, and the longitudinal coordinate difference of the characteristic points of the vertical wear area is determined as the wear value of the vertical wear area.

[0045] In one embodiment, according to the profile fitting function of the vertical wear area, the longitudinal coordinate difference of the characteristic points of the vertical wear area before and after the wear is calculated, and the longitudinal coordinate difference of the characteristic points of the vertical wear area is determined as the wear value of the vertical wear area, including:

[0046] According to the profile fitting function of the vertical wear area, the longitudinal coordinate values ​​of the characteristic points of the vertical wear area after wear are calculated, and the longitudinal coordinate values ​​of the characteristic points of the vertical wear area after wear are subtracted from the preset longitudinal coordinate values ​​of the characteristic points of the vertical wear area before wear to obtain the longitudinal coordinate difference of the characteristic points of the vertical wear area, and the longitudinal coordinate difference of the characteristic points of the vertical wear area is determined as the wear value of the vertical wear area.

[0047] In step 103, according to the profile fitting function of the lateral wear area, the transverse coordinate difference of the characteristic points of the lateral wear area before and after the wear is calculated, and the transverse coordinate difference of the characteristic points of the lateral wear area is determined as the wear value of the lateral wear area.

[0048] In one embodiment, according to the profile fitting function of the lateral wear area, the transverse coordinate difference of the characteristic points of the lateral wear area before and after the wear is calculated, and the transverse coordinate difference of the characteristic points of the lateral wear area is determined as the wear value of the lateral wear area, including:

[0049] According to the profile fitting function of the lateral wear area, the lateral coordinate values ​​of the characteristic points of the lateral wear area after wear are calculated, and the lateral coordinate values ​​of the characteristic points of the lateral wear area after wear are subtracted from the lateral coordinate values ​​of the characteristic points of the lateral wear area before wear to obtain the lateral coordinate difference values ​​of the characteristic points of the lateral wear area, and the lateral coordinate difference values ​​of the characteristic points of the lateral wear area are determined as the wear value of the lateral wear area.

[0050] In step 104, according to the profile fitting function of the comprehensive wear area and the preset straight line function, the longitudinal coordinate difference and the transverse coordinate difference of the characteristic points of the comprehensive wear area before and after wear are calculated respectively, and the wear value of the comprehensive wear area is determined according to the longitudinal coordinate difference and the transverse coordinate difference of the characteristic points of the comprehensive wear area.

[0051] In one embodiment, according to the profile fitting function of the comprehensive wear area and the preset straight line function, the longitudinal coordinate difference and the transverse coordinate difference of the characteristic points of the comprehensive wear area before and after the wear are calculated respectively, and according to the longitudinal coordinate difference and the transverse coordinate difference of the characteristic points of the comprehensive wear area, the wear value of the comprehensive wear area is determined, including:

[0052] According to the profile fitting function and the preset straight line function of the comprehensive wear area, the longitudinal coordinate value and the transverse coordinate value of the characteristic point of the comprehensive wear area after wear are calculated, and the longitudinal coordinate value of the characteristic point of the comprehensive wear area after wear is subtracted from the longitudinal coordinate value of the characteristic point of the comprehensive wear area before wear to obtain the longitudinal coordinate difference of the characteristic point of the comprehensive wear area, and the transverse coordinate value of the characteristic point of the comprehensive wear area after wear is subtracted from the transverse coordinate value of the characteristic point of the comprehensive wear area before wear to obtain the transverse coordinate difference of the characteristic point of the comprehensive wear area. According to the longitudinal coordinate difference of the characteristic point of the comprehensive wear area and the transverse coordinate difference of the characteristic point of the comprehensive wear area, the wear value of the comprehensive wear area is determined.

[0053] In a specific embodiment, it is assumed that there is a point (x, y) on the standard rail profile. As the rail wear develops, it is mainly manifested as the change of x value and y value. Different areas of the rail can be mainly divided into vertical wear area, lateral wear area and comprehensive wear area. In the vertical wear area, the rail wear is mainly manifested as the change of y value. The corresponding point on the profile after wear can be expressed as (x, y′ 垂 ), the rail wear at this point is w 垂 It can be expressed as w 垂 =yy′ 垂 , where y′ 垂 =S 垂 (x), S 垂 (x) is the profile curve of the first part of the vertical wear zone. In the lateral wear zone, rail wear is mainly manifested as the change of x value, so the corresponding point on the profile after wear can be expressed as (x′ 侧 ,y), the rail wear at this point is w 侧 It can be expressed as w 侧 =xx′ 侧 , where x′ 侧 =S 侧 (y), S 侧 (y) is the profile curve of the first part of the lateral wear zone. In the comprehensive wear section, both the x and y values ​​have large changes, such as Figure 2 As shown, the coordinates of the center of the arc segment are known to be (x o ,y o ), then the straight line L OE It can be expressed as L OE :

[0054] (yy o ) / (y E -y o )=(xx o ) / (x E -x o );

[0055] The profile after wear is represented by S 综 (x) = a i x 3 +b i x 2 +c i x+d i , rail profile curve S after wear 综 (x) and the straight line L OE The coordinates of the intersection point E (x E ,y E ) can be solved by the system of equations:

[0056]

[0057] After determining the coordinates of the intersection point E, the wear value of the comprehensive wear area can be determined.

[0058] In one embodiment, the wear value of the comprehensive wear area is determined according to the longitudinal coordinate difference of the characteristic point of the comprehensive wear area and the transverse coordinate difference of the characteristic point of the comprehensive wear area, including:

[0059] The wear value of the comprehensive wear area is calculated according to the following formula:

[0060]

[0061] Among them, w 综 Represents the wear value of the comprehensive wear area, x E ,y E represent the horizontal and vertical coordinate values ​​of the characteristic points in the comprehensive wear area before wear, respectively, x′ E , y′ E They represent the horizontal and vertical coordinate values ​​of the characteristic points in the comprehensive wear area after wear, respectively. E -x′ E ,y E -y′ E They represent the transverse coordinate difference and longitudinal coordinate difference of the characteristic points in the comprehensive wear area respectively.

[0062] In step 105, the wear rate of the characteristic point of the wear area and the 90th percentile of the wear value of the characteristic point of the wear area are determined according to the wear value of the vertical wear area, the wear value of the lateral wear area and the wear value of the comprehensive wear area.

[0063] In a specific embodiment, in the entire curve segment, a wear value set can be formed for each characteristic point according to the running-in value. For example, in a rail curve with a length of N meters, the wear value set at the characteristic point A can be obtained:

[0064]

[0065] If the normal distribution is used to represent its distribution, it can be expressed as:

[0066] W A ~N(μ A ,σ A );

[0067] In order to evaluate the wear distribution of feature point A, three indicators are formulated to characterize the wear of the feature point:

[0068] (1) Average wear value of curve segment: μ A , used to characterize the overall wear degree of the curve segment;

[0069] (2) Average wear rate of curve segment: It is used to characterize the speed of average wear of the curve segment, where t1 and t2 are expressed in months.

[0070] (3) The 90th percentile of the curve segment wear: expressed as Used to reflect abnormal wear.

[0071] The evaluation range of the above three indicators (wear mean, average wear rate, and 90th percentile of wear) covers the average wear amount, wear rate, wear uniformity and abnormal wear of the curve, and can comprehensively reflect the wear status of the rails in the curve section.

[0072] In step 106, the rail wear state is analyzed based on the wear values, wear rates and 90th percentiles of the wear values ​​of the plurality of wear areas.

[0073] In one embodiment, the rail wear state is analyzed according to the wear values, wear rates and ninety percentiles of the wear values ​​of multiple wear areas, including:

[0074] A wear characteristic matrix is ​​constructed based on the wear values, wear rates and 90th percentiles of wear values ​​in multiple wear areas;

[0075] The rail wear state is determined based on the wear characteristic matrix.

[0076] In a specific embodiment, the three indicators are normalized, and the wear mean μ A According to the existing standards, if the vertical wear reaches 8mm or the lateral wear reaches 10mm, it is considered that the rail is slightly damaged. In order to ensure the strictness of the evaluation index, the wear mean μ A The threshold is set to 8mm, so μ A The normalization function is defined as:

[0077]

[0078] For the average wear rate v A Normalization, it is generally believed that the average grinding cycle of rails is 24 months, so the threshold of the average wear rate is set at , when the rail wear reaches 8mm within 24 months, that is, 3mm per month

[0079]

[0080] Ninetieth percentile table for curve wear It is believed that the cross section with wear exceeding 7 on the normal wear curve should not exceed 10%, so The normalization function of is defined as:

[0081]

[0082] Combining the indices of the six characteristic points will yield the wear characteristic matrix of the curve segment, which can be expressed as:

[0083]

[0084] Set corresponding weights for the three indicators in the wear characteristic matrix, and the indicator weight matrix G F for:

[0085] G F =[0.30.250.45];

[0086] They represent the weights of the three indicators: mean wear value of the curve segment, average wear rate of the curve segment, and the 90th percentile of the wear of the curve segment.

[0087] The wear conditions of different wear feature points have different influences on the wear state of the entire curve, so the feature point weight matrix G P for:

[0088] G P =[0.050.10.150.20.250.25];

[0089] Finally, according to the wear characteristic matrix, index weight matrix and characteristic point weight matrix, the rail wear state evaluation index F is obtained:

[0090] The present invention also provides a device for evaluating the wear state of a curved section rail based on the wear distribution characteristics, as described in the following embodiments. Since the principle of solving the problem by the device is similar to that of the method for evaluating the wear state of a curved section rail based on the wear distribution characteristics, the implementation of the device can refer to the implementation of the method for evaluating the wear state of a curved section rail based on the wear distribution characteristics, and the repeated parts will not be repeated.

[0091] Figure 5 Schematic diagram of a device for evaluating the wear state of rails in a curved section based on wear distribution characteristics in an embodiment of the present invention, the device comprising:

[0092] The profile fitting function determination module 501 is used to respectively obtain the detection data of each feature point in a plurality of wear areas of the rail profile, perform polynomial fitting on the detection data of each feature point in each wear area, and obtain the profile fitting function corresponding to each wear area; the plurality of wear areas are obtained by pre-dividing the rail profile according to a plurality of wear conditions; the plurality of wear areas include a vertical wear area, a lateral wear area and a comprehensive wear area, and one or more feature points are pre-set for each wear area; the vertical wear area includes wear in the vertical direction, the lateral wear area includes wear in the horizontal direction, and the comprehensive wear area includes wear in the vertical direction and wear in the horizontal direction;

[0093] A wear value determination module 502 for the vertical wear region is used to calculate the longitudinal coordinate difference of the characteristic points of the vertical wear region before and after wear according to the profile fitting function of the vertical wear region, and determine the longitudinal coordinate difference of the characteristic points of the vertical wear region as the wear value of the vertical wear region;

[0094] A wear value determination module 503 for the lateral wear region is used to calculate the transverse coordinate difference of the characteristic points of the lateral wear region before and after wear according to the profile fitting function of the lateral wear region, and determine the transverse coordinate difference of the characteristic points of the lateral wear region as the wear value of the lateral wear region;

[0095] The wear value determination module 504 of the comprehensive wear region is used to calculate the longitudinal coordinate difference and the transverse coordinate difference of the characteristic points of the comprehensive wear region before and after wear according to the profile fitting function of the comprehensive wear region and the preset straight line function, and determine the wear value of the comprehensive wear region according to the longitudinal coordinate difference and the transverse coordinate difference of the characteristic points of the comprehensive wear region;

[0096] A wear index determination module 505 is used to determine the wear rate of the characteristic point of the wear area and the ninetieth percentile of the wear value of the characteristic point of the wear area according to the wear value of the vertical wear area, the wear value of the lateral wear area and the wear value of the comprehensive wear area respectively;

[0097] The wear state analysis module 506 is used to analyze the wear state of the rail according to the wear values, wear rates and 90th percentiles of the wear values ​​of the multiple wear areas.

[0098] In one embodiment, the wear value determination module 502 of the vertical wear area is specifically used to:

[0099] According to the profile fitting function of the vertical wear area, the longitudinal coordinate values ​​of the characteristic points of the vertical wear area after wear are calculated, and the longitudinal coordinate values ​​of the characteristic points of the vertical wear area after wear are subtracted from the preset longitudinal coordinate values ​​of the characteristic points of the vertical wear area before wear to obtain the longitudinal coordinate difference of the characteristic points of the vertical wear area, and the longitudinal coordinate difference of the characteristic points of the vertical wear area is determined as the wear value of the vertical wear area.

[0100] In one embodiment, the wear value determination module 503 of the lateral wear area is specifically used to:

[0101] According to the profile fitting function of the lateral wear area, the lateral coordinate values ​​of the characteristic points of the lateral wear area after wear are calculated, and the lateral coordinate values ​​of the characteristic points of the lateral wear area after wear are subtracted from the lateral coordinate values ​​of the characteristic points of the lateral wear area before wear to obtain the lateral coordinate difference values ​​of the characteristic points of the lateral wear area, and the lateral coordinate difference values ​​of the characteristic points of the lateral wear area are determined as the wear value of the lateral wear area.

[0102] In one embodiment, the wear value determination module 504 for the comprehensive wear area is specifically used to:

[0103] According to the profile fitting function and the preset straight line function of the comprehensive wear area, the longitudinal coordinate value and the transverse coordinate value of the characteristic point of the comprehensive wear area after wear are calculated, and the longitudinal coordinate value of the characteristic point of the comprehensive wear area after wear is subtracted from the longitudinal coordinate value of the characteristic point of the comprehensive wear area before wear to obtain the longitudinal coordinate difference of the characteristic point of the comprehensive wear area, and the transverse coordinate value of the characteristic point of the comprehensive wear area after wear is subtracted from the transverse coordinate value of the characteristic point of the comprehensive wear area before wear to obtain the transverse coordinate difference of the characteristic point of the comprehensive wear area. According to the longitudinal coordinate difference of the characteristic point of the comprehensive wear area and the transverse coordinate difference of the characteristic point of the comprehensive wear area, the wear value of the comprehensive wear area is determined.

[0104] In one embodiment, the wear value determination module 504 for the comprehensive wear area is specifically used to:

[0105] The wear value of the comprehensive wear area is calculated according to the following formula:

[0106]

[0107] Among them, w 综 Represents the wear value of the comprehensive wear area, x E ,y E represent the horizontal and vertical coordinate values ​​of the characteristic points in the comprehensive wear area before wear, respectively, x′ E , y′ E They represent the horizontal and vertical coordinate values ​​of the characteristic points in the comprehensive wear area after wear, respectively. E -x′ E ,y E-y′ E They represent the transverse coordinate difference and longitudinal coordinate difference of the characteristic points in the comprehensive wear area respectively.

[0108] In one embodiment, the wear state analysis module 506 is specifically used to:

[0109] A wear characteristic matrix is ​​constructed based on the wear values, wear rates and 90th percentiles of wear values ​​in multiple wear areas;

[0110] The rail wear state is determined based on the wear characteristic matrix.

[0111] An embodiment of the present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for evaluating the wear state of rails in a curved section based on the wear distribution characteristics is implemented.

[0112] An embodiment of the present invention further provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-mentioned method for evaluating the wear state of rails in a curved section based on wear distribution characteristics.

[0113] An embodiment of the present invention further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the method for evaluating the wear state of rails in a curved section based on wear distribution characteristics is implemented.

[0114] In the embodiment of the present invention, by respectively acquiring detection data of each feature point in a plurality of wear areas of the rail profile, polynomial fitting is performed on the detection data of each feature point in each wear area, so as to obtain a profile fitting function corresponding to each wear area; the plurality of wear areas are obtained by pre-dividing the rail profile according to a plurality of wear conditions; the plurality of wear areas include a vertical wear area, a lateral wear area and a comprehensive wear area, and one or more feature points are pre-set for each wear area; the vertical wear area includes wear in the vertical direction, the lateral wear area includes wear in the horizontal direction, and the comprehensive wear area includes wear in the vertical direction and wear in the horizontal direction; according to the profile fitting function of the vertical wear area, the longitudinal coordinate difference of the feature points of the vertical wear area before and after the wear is calculated, and the longitudinal coordinate difference of the feature points of the vertical wear area is determined as the vertical wear area. Wear value; according to the profile fitting function of the lateral wear area, calculate the transverse coordinate difference of the characteristic points of the lateral wear area before and after wear, and determine the transverse coordinate difference of the characteristic points of the lateral wear area as the wear value of the lateral wear area; according to the profile fitting function of the comprehensive wear area and the preset straight line function, respectively calculate the longitudinal coordinate difference and transverse coordinate difference of the characteristic points of the comprehensive wear area before and after wear, and determine the wear value of the comprehensive wear area according to the longitudinal coordinate difference and transverse coordinate difference of the characteristic points of the comprehensive wear area; respectively determine the wear rate of the corresponding characteristic points of the wear area and the 90th percentile of the wear value of the corresponding characteristic points of the wear area according to the wear value of the vertical wear area, the wear value of the lateral wear area and the wear value of the comprehensive wear area; analyze the wear state of the rail according to the wear value, wear rate and 90th percentile of the wear value of multiple wear areas. In the above process, the embodiment of the present invention takes into account a variety of wear indicators of different wear areas, and based on a variety of wear indicators, realizes a comprehensive analysis of the overall wear of the curved section rail, thereby providing more effective decision support for railway maintenance.

[0115] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0116] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0117] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0118] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0119] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for evaluating rail wear status in a curved section based on wear distribution characteristics, characterized in that: include: The detection data of each characteristic point in a plurality of wear areas of the rail profile are respectively obtained, and a polynomial fitting is performed on the detection data of each characteristic point in each wear area to obtain a profile fitting function corresponding to each wear area; the plurality of wear areas are obtained by pre-dividing the rail profile according to a plurality of wear conditions; the plurality of wear areas include a vertical wear area, a lateral wear area and a comprehensive wear area, and one or more characteristic points are pre-set for each wear area; the vertical wear area includes wear in the vertical direction, the lateral wear area includes wear in the horizontal direction, and the comprehensive wear area includes wear in the vertical direction and wear in the horizontal direction; According to the profile fitting function of the vertical wear area, the longitudinal coordinate difference of the characteristic points of the vertical wear area before and after the wear is calculated, and the longitudinal coordinate difference of the characteristic points of the vertical wear area is determined as the wear value of the vertical wear area; According to the profile fitting function of the lateral wear area, the transverse coordinate difference of the characteristic points in the lateral wear area before and after the wear is calculated, and the transverse coordinate difference of the characteristic points in the lateral wear area is determined as the wear value of the lateral wear area; According to the profile fitting function of the comprehensive wear area and the preset straight line function, the longitudinal coordinate difference and the transverse coordinate difference of the characteristic points in the comprehensive wear area before and after the wear are calculated respectively, and the wear value of the comprehensive wear area is determined according to the longitudinal coordinate difference and the transverse coordinate difference of the characteristic points in the comprehensive wear area; According to the wear value of the vertical wear area, the wear value of the lateral wear area and the wear value of the comprehensive wear area, the wear rate of the characteristic point of the corresponding wear area and the ninetieth percentile of the wear value of the characteristic point of the corresponding wear area are determined; The rail wear status is analyzed based on the wear values, wear rates and 90th percentiles of the wear values ​​in multiple wear areas.

2. The method according to claim 1, characterized in that According to the profile fitting function of the vertical wear area, the longitudinal coordinate difference of the characteristic points of the vertical wear area before and after the wear is calculated, and the longitudinal coordinate difference of the characteristic points of the vertical wear area is determined as the wear value of the vertical wear area, including: According to the profile fitting function of the vertical wear area, the longitudinal coordinate values ​​of the characteristic points of the vertical wear area after wear are calculated, and the longitudinal coordinate values ​​of the characteristic points of the vertical wear area after wear are subtracted from the preset longitudinal coordinate values ​​of the characteristic points of the vertical wear area before wear to obtain the longitudinal coordinate difference of the characteristic points of the vertical wear area, and the longitudinal coordinate difference of the characteristic points of the vertical wear area is determined as the wear value of the vertical wear area.

3. The method according to claim 1, characterized in that According to the profile fitting function of the lateral wear area, the transverse coordinate difference of the characteristic points of the lateral wear area before and after the wear is calculated, and the transverse coordinate difference of the characteristic points of the lateral wear area is determined as the wear value of the lateral wear area, including: According to the profile fitting function of the lateral wear area, the lateral coordinate values ​​of the characteristic points of the lateral wear area after wear are calculated, and the lateral coordinate values ​​of the characteristic points of the lateral wear area after wear are subtracted from the lateral coordinate values ​​of the characteristic points of the lateral wear area before wear to obtain the lateral coordinate difference values ​​of the characteristic points of the lateral wear area, and the lateral coordinate difference values ​​of the characteristic points of the lateral wear area are determined as the wear value of the lateral wear area.

4. The method according to claim 1, characterized in that According to the profile fitting function and the preset straight line function of the comprehensive wear area, the longitudinal coordinate difference and the transverse coordinate difference of the characteristic points of the comprehensive wear area before and after wear are calculated respectively, and the wear value of the comprehensive wear area is determined according to the longitudinal coordinate difference and the transverse coordinate difference of the characteristic points of the comprehensive wear area, including: According to the profile fitting function and the preset straight line function of the comprehensive wear area, the longitudinal coordinate value and the transverse coordinate value of the characteristic point of the comprehensive wear area after wear are calculated, and the longitudinal coordinate value of the characteristic point of the comprehensive wear area after wear is subtracted from the longitudinal coordinate value of the characteristic point of the comprehensive wear area before wear to obtain the longitudinal coordinate difference of the characteristic point of the comprehensive wear area, and the transverse coordinate value of the characteristic point of the comprehensive wear area after wear is subtracted from the transverse coordinate value of the characteristic point of the comprehensive wear area before wear to obtain the transverse coordinate difference of the characteristic point of the comprehensive wear area. According to the longitudinal coordinate difference of the characteristic point of the comprehensive wear area and the transverse coordinate difference of the characteristic point of the comprehensive wear area, the wear value of the comprehensive wear area is determined.

5. The method according to claim 4, characterized in that According to the longitudinal coordinate difference of the characteristic points in the comprehensive wear area and the transverse coordinate difference of the characteristic points in the comprehensive wear area, the wear value of the comprehensive wear area is determined, including: The wear value of the comprehensive wear area is calculated according to the following formula: Among them, w 综 Represents the wear value of the comprehensive wear area, x E ,y E represent the horizontal and vertical coordinate values ​​of the characteristic points in the comprehensive wear area before wear, respectively, x′ E , y′ E They represent the horizontal and vertical coordinate values ​​of the characteristic points in the comprehensive wear area after wear, respectively. E -x′ E ,y E -y′ E They represent the transverse coordinate difference and longitudinal coordinate difference of the characteristic points in the comprehensive wear area respectively.

6. The method according to claim 1, characterized in that The rail wear condition is analyzed based on the wear value, wear rate and wear value 90th percentile of multiple wear areas, including: A wear characteristic matrix is ​​constructed based on the wear values, wear rates and 90th percentiles of wear values ​​in multiple wear areas; The rail wear state is determined based on the wear characteristic matrix.

7. A device for evaluating the wear state of rails in a curved section based on wear distribution characteristics, characterized in that: include: A profile fitting function determination module is used to respectively obtain detection data of each feature point in multiple wear areas of the rail profile, perform polynomial fitting on the detection data of each feature point in each wear area, and obtain a profile fitting function corresponding to each wear area; the multiple wear areas are obtained by pre-dividing the rail profile according to multiple wear conditions; the multiple wear areas include a vertical wear area, a lateral wear area and a comprehensive wear area, and one or more feature points are pre-set for each wear area; the vertical wear area includes wear in the vertical direction, the lateral wear area includes wear in the horizontal direction, and the comprehensive wear area includes wear in the vertical direction and wear in the horizontal direction; A wear value determination module for the vertical wear area, used to calculate the longitudinal coordinate difference of the characteristic points of the vertical wear area before and after wear according to the profile fitting function of the vertical wear area, and determine the longitudinal coordinate difference of the characteristic points of the vertical wear area as the wear value of the vertical wear area; A wear value determination module for the lateral wear region, used to calculate the transverse coordinate difference of the characteristic points of the lateral wear region before and after wear according to the profile fitting function of the lateral wear region, and determine the transverse coordinate difference of the characteristic points of the lateral wear region as the wear value of the lateral wear region; A wear value determination module for a comprehensive wear area, for calculating the longitudinal coordinate difference and the transverse coordinate difference of the characteristic points of the comprehensive wear area before and after wear according to the profile fitting function of the comprehensive wear area and the preset straight line function, and determining the wear value of the comprehensive wear area according to the longitudinal coordinate difference and the transverse coordinate difference of the characteristic points of the comprehensive wear area; A wear index determination module, used to determine the wear rate of the characteristic point of the wear area and the ninetieth percentile of the wear value of the characteristic point of the wear area according to the wear value of the vertical wear area, the wear value of the lateral wear area and the wear value of the comprehensive wear area; The wear state analysis module is used to analyze the rail wear state based on the wear values, wear rates and 90th percentiles of the wear values ​​in multiple wear areas.

8. The device according to claim 7, characterized in that The wear value determination module of the vertical wear area is specifically used for: According to the profile fitting function of the vertical wear area, the longitudinal coordinate values ​​of the characteristic points of the vertical wear area after wear are calculated, and the longitudinal coordinate values ​​of the characteristic points of the vertical wear area after wear are subtracted from the preset longitudinal coordinate values ​​of the characteristic points of the vertical wear area before wear to obtain the longitudinal coordinate difference of the characteristic points of the vertical wear area, and the longitudinal coordinate difference of the characteristic points of the vertical wear area is determined as the wear value of the vertical wear area.

9. The device according to claim 7, characterized in that The wear value determination module of the lateral wear area is specifically used for: According to the profile fitting function of the lateral wear area, the lateral coordinate values ​​of the characteristic points of the lateral wear area after wear are calculated, and the lateral coordinate values ​​of the characteristic points of the lateral wear area after wear are subtracted from the lateral coordinate values ​​of the characteristic points of the lateral wear area before wear to obtain the lateral coordinate difference values ​​of the characteristic points of the lateral wear area, and the lateral coordinate difference values ​​of the characteristic points of the lateral wear area are determined as the wear value of the lateral wear area.

10. The device according to claim 7, characterized in that The wear value determination module of the comprehensive wear area is specifically used for: According to the profile fitting function and the preset straight line function of the comprehensive wear area, the longitudinal coordinate value and the transverse coordinate value of the characteristic point of the comprehensive wear area after wear are calculated, and the longitudinal coordinate value of the characteristic point of the comprehensive wear area after wear is subtracted from the longitudinal coordinate value of the characteristic point of the comprehensive wear area before wear to obtain the longitudinal coordinate difference of the characteristic point of the comprehensive wear area, and the transverse coordinate value of the characteristic point of the comprehensive wear area after wear is subtracted from the transverse coordinate value of the characteristic point of the comprehensive wear area before wear to obtain the transverse coordinate difference of the characteristic point of the comprehensive wear area. According to the longitudinal coordinate difference of the characteristic point of the comprehensive wear area and the transverse coordinate difference of the characteristic point of the comprehensive wear area, the wear value of the comprehensive wear area is determined.

11. The device according to claim 10, characterized in that The wear value determination module of the comprehensive wear area is specifically used for: The wear value of the comprehensive wear area is calculated according to the following formula: Among them, w 综 Represents the wear value of the comprehensive wear area, x E ,y E represent the horizontal and vertical coordinate values ​​of the characteristic points in the comprehensive wear area before wear, respectively, x′ E , y′ E They represent the horizontal and vertical coordinate values ​​of the characteristic points in the comprehensive wear area after wear, respectively. E -x′ E ,y E -y′ E They represent the transverse coordinate difference and longitudinal coordinate difference of the characteristic points in the comprehensive wear area respectively.

12. The device according to claim 7, characterized in that Wear state analysis module, specifically used for: A wear characteristic matrix is ​​constructed based on the wear values, wear rates and 90th percentiles of wear values ​​in multiple wear areas; The rail wear state is determined based on the wear characteristic matrix.

13. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 6 is implemented.

14. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

15. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

Images