Railway rail surface oblique crack quantification method and device

Abstract

The invention discloses a railway rail surface oblique crack quantification method and device. The method comprises the following steps: obtaining a calibration line which is prepared on the surface of a steel rail and contains multiple groups of artificial damages with preset depths; magnetic flux leakage signal amplitudes of artificial injuries at different preset depths are obtained, and a first relation curve of the artificial injury depths and the magnetic flux leakage signal amplitudes is generated through fitting; stepwise grinding is carried out on the natural oblique crack of the rail surface, the measurement remaining depth after each time of grinding is obtained, the corresponding magnetic flux leakage signal amplitude is obtained, and a second relation curve of the natural damage depth and the magnetic flux leakage signal amplitude is generated through fitting; performing depth value matching on the first relation curve and the second relation curve under the same magnetic flux leakage signal amplitude, and establishing a mapping relation between the artificial injury depth and the natural injury depth; and detecting a magnetic flux leakage signal amplitude of the to-be-detected inclined crack, and outputting a quantization depth value corresponding to the magnetic flux leakage signal amplitude based on the mapping relation. The method is used for improving the inclined crack depth evaluation accuracy and eliminating the repeated detection cost caused by equipment difference.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of railway detection technology, in particular to a railway rail surface oblique crack quantification method and device. BACKGROUND

[0002] This section is intended to provide background or context to the inventive embodiments recited in the claims. The description herein does not constitute admission that the background art is prior art nor does it constitute an indication that the background art is relevant to determining inventiveness.

[0003] Steel rails bear complex alternating loads of hundreds of tons of trains for a long time, leading to the evolution of rail surface fatigue damage. The typical damage path is manifested as microstructure deterioration, surface crack initiation, and oblique crack propagation to macroscopic failure. Among them, oblique cracks have the characteristics of asymmetric expansion and subsurface propagation, are highly concealed and expand rapidly, and significantly increase when the total mass of the line exceeds 300 million tons, becoming a major hidden danger threatening high-speed rail safety. Although the existing magnetic flux leakage detection technology can capture the damage magnetic flux leakage field through magnetic sensors to achieve depth evaluation, the related research focuses on the quantification model of artificial damage, such as depth evaluation through magnetic field spatial integration or AC signal time domain feature analysis. Since natural oblique cracks differ significantly from the standard artificial damage in terms of shape and size, the existing model has poor practical application results.

[0004] The existing magnetic flux leakage detection technology cannot accurately quantify the true depth of natural oblique cracks due to the evaluation model established based on artificial damage. Artificial damage has a regular and uniform shape, while natural oblique cracks have irregular shapes, discrete sizes, and subsurface expansion characteristics, resulting in significant errors in the fitting model based on artificial damage in actual application. At the same time, different magnetic flux leakage detection devices have inconsistent signal amplitudes for the same damage due to process differences, further reducing the evaluation reliability. The concealment and rapid expansion of natural oblique cracks make it difficult to track them through conventional means, and the existing technology lacks a depth quantification method for their dynamic development stage, which cannot meet the safety needs of precise evaluation of oblique cracks in high-speed rail operation. SUMMARY

[0005] The embodiments of the present application provide a railway rail surface oblique crack quantification method to improve the accuracy of high-speed rail surface oblique crack depth evaluation, eliminate the repeated detection costs caused by device differences, and improve the universality and reliability of oblique crack detection in high-speed rail operation. The method comprises:

[0006] Obtaining a calibration line containing multiple groups of artificial damage with preset depths prepared on the surface of a steel rail;

[0007] According to the scanning results of the calibration line by the magnetic flux leakage detection device under the preset detection conditions, obtaining the magnetic flux leakage signal amplitudes of artificial damage with different preset depths, and fitting to generate a first relationship curve between the depth of artificial damage and the magnetic flux leakage signal amplitude;

[0008] The natural damage depth and the leakage magnetic signal amplitude are fitted to generate a second relationship curve between the natural damage depth and the leakage magnetic signal amplitude by performing step-by-step polishing on the rail surface natural inclined crack to obtain the measured residual depth after each polishing and obtaining the leakage magnetic signal amplitude corresponding to the different measured residual depths by the magnetic flux leakage detection equipment.

[0009] The mapping relationship between the artificial damage depth and the natural damage depth is established by matching the depth values of the first relationship curve and the second relationship curve at the same leakage magnetic signal amplitude.

[0010] The leakage magnetic signal amplitude of the to-be-measured inclined crack is detected, and the quantized depth value corresponding to the leakage magnetic signal amplitude is output based on the mapping relationship.

[0011] The embodiment of the present application also provides a railway rail surface inclined crack quantization device to improve the high-speed rail rail surface inclined crack depth evaluation accuracy, eliminate the repeated detection cost caused by the equipment difference, and improve the universality and reliability of the inclined crack detection in the high-speed rail operation and maintenance.

[0012] The calibration line acquisition module is used to obtain the calibration line with a plurality of groups of preset depth artificial damage prepared on the surface of the steel rail.

[0013] The first relationship curve establishment module is used to obtain the leakage magnetic signal amplitude of different preset depth artificial damage according to the scanning result of the magnetic flux leakage detection equipment on the calibration line under the preset detection condition, and generate a first relationship curve between the artificial damage depth and the leakage magnetic signal amplitude.

[0014] The second relationship curve establishment module is used to obtain the measured residual depth after each polishing by performing step-by-step polishing on the rail surface natural inclined crack, and obtain the leakage magnetic signal amplitude corresponding to the different measured residual depths by the magnetic flux leakage detection equipment, and generate a second relationship curve between the natural damage depth and the leakage magnetic signal amplitude.

[0015] The mapping relationship establishment module is used to match the depth values of the first relationship curve and the second relationship curve at the same leakage magnetic signal amplitude, and establish the mapping relationship between the artificial damage depth and the natural damage depth.

[0016] The quantized depth value output module is used to detect the leakage magnetic signal amplitude of the to-be-measured inclined crack, and output the quantized depth value corresponding to the leakage magnetic signal amplitude based on the mapping relationship.

[0017] The embodiment of the present application also provides a computer device, which comprises a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and the processor implements the above-mentioned railway rail surface inclined crack quantization method when executing the computer program.

[0018] The embodiment of the present application also provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the railway rail surface oblique crack quantification method.

[0019] The embodiment of the present application also provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to realize the railway rail surface oblique crack quantification method.

[0020] In the embodiment of the present application, a calibration line with a plurality of preset depth artificial damages is obtained on the surface of the steel rail; according to the scanning result of the magnetic flux leakage detection equipment on the calibration line under the preset detection condition, the magnetic flux leakage signal amplitudes of different preset depth artificial damages are obtained, and a first relationship curve of the artificial damage depth and the magnetic flux leakage signal amplitude is fitted and generated; the measurement residual depth after each polishing is obtained by performing step-by-step polishing on the rail surface natural oblique crack; the magnetic flux leakage signal amplitudes corresponding to different measurement residual depths are obtained by the magnetic flux leakage detection equipment, and a second relationship curve of the natural damage depth and the magnetic flux leakage signal amplitude is fitted and generated; the depth values under the same magnetic flux leakage signal amplitude of the first relationship curve and the second relationship curve are matched, and a mapping relationship between the artificial damage depth and the natural damage depth is established; the magnetic flux leakage signal amplitude of the to-be-detected oblique crack is detected, and the quantification depth value corresponding to the magnetic flux leakage signal amplitude is output based on the mapping relationship. The embodiment of the present application establishes the mapping relationship between the artificial damage depth and the natural damage depth, and the second relationship curve established by the step-by-step polishing of the real natural crack accurately reflects the irregular crack characteristics and overcomes the difference between the regularity of the artificial damage form and the discreteness of the natural damage; the mapping relationship takes the calibration line as a device-independent reference, when different devices scan the same calibration line, the unified natural damage depth value is output through the depth matching, the evaluation deviation caused by the device difference is eliminated, the repeated detection cost caused by the device difference is reduced, and the universality and reliability of the oblique crack detection in high-speed rail operation and maintenance are improved. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without any creative effort. In the drawings:

[0022] Figure 1 It is a specific example diagram of a magnetic flux leakage field forming theory in the embodiment of the present application;

[0023] Figure 2 It is a specific example diagram of a magnetic flux leakage detection principle in the embodiment of the present application;

[0024] Figure 3 A specific example diagram of a calibration step of a magnetic flux leakage detection device in an embodiment of the present application;

[0025] Figure 4 A specific example diagram of a calibration line damage depth and signal amplitude corresponding relationship fitting in an embodiment of the present application;

[0026] Figure 5 A specific example diagram of a natural damage depth and signal amplitude corresponding relationship fitting in an embodiment of the present application;

[0027] Figure 6 A specific example diagram of a calibration line and natural damage amplitude-depth fitting comparison in an embodiment of the present application;

[0028] Figure 7 A flowchart of a railway track surface inclined crack quantification method in an embodiment of the present application;

[0029] Figure 8 A computer device schematic diagram for railway track surface inclined crack quantification in an embodiment of the present application;

[0030] Figure 9 A structural schematic diagram of a railway track surface inclined crack quantification device in an embodiment of the present application. DETAILED DESCRIPTION

[0031] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, further detailed description of the embodiments of the present application will be given below with reference to the drawings. Herein, the illustrative embodiments of the present application and their descriptions are used to explain the present application, but not as a limitation of the present application.

[0032] The term "and / or" herein is merely used to describe an associated relationship, which means that there can be three relationships, for example, A and / or B can mean that A exists alone, A and B exist together, and B exists alone. In addition, the term "at least one" herein means any one of a plurality or any combination of at least two of a plurality, for example, including at least one of A, B, and C can mean including any one or more elements selected from the set consisting of A, B, and C.

[0033] In the description of the present specification, "include", "includes", "have", "has", and the like are open terms, that is, mean including but not limited to. The description referring to the terms "one embodiment", "one specific embodiment", "some embodiments", "for example", and the like means that the specific features, structures, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. The order of the steps involved in each embodiment is used to illustrate the implementation of the present application, and the order of the steps is not limited. The order can be adjusted as appropriate.

[0034] In the technical solution of the present application, the acquisition, storage, use, processing, etc. of data comply with relevant regulations. The information collected in the present application is information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure, and application of relevant data comply with relevant standards, necessary security measures are taken, do not violate public order and good customs, and appropriate operation portals are provided for users to choose authorization or refusal.

[0035] It should be noted that in the embodiments of the present application, some existing industry solutions such as software, components, models, etc. may be mentioned, such as some existing software tools, components, algorithm models, or other widely known solutions in the technical field, which should be considered as exemplary, and the purpose is only to illustrate the feasibility of the implementation of the technical solution of the present application. These references should be understood as typical examples, and the core purpose is to explain and verify the rationality and feasibility of the implementation of the technical solution proposed in the present application. However, it does not mean that the applicant has or will necessarily use the solution. Such a reference does not imply that the applicant has actually adopted these existing solutions or will necessarily adopt these methods in the future implementation of the technology. In other words, these references only serve the purpose of explanation and help understand the correlation and transcendence of the present application and the prior art, and do not constitute an approval or dependence statement of a specific existing technical product.

[0036] The embodiments of the present application relate to the following terms, which are explained as follows:

[0037] Rail as the key bearing component of the track system, long-term service in complex working conditions, on the narrow wheel-rail contact surface bearing complex alternating load of hundreds of tons of train, leading to material fatigue accumulation caused by multi-mode damage evolution. Typical damage path performance: microstructure degradation → surface crack initiation → oblique crack propagation → macro failure (nuclear injury / spalling). Among them, with the increase of the operation life of high-speed railway, some lines have shown a significant increase in rail surface fatigue damage dominated by oblique cracks after passing a total mass of more than 300 million tons.

[0038] Oblique cracks have asymmetric propagation characteristics and subsurface propagation tendency, are highly concealed, have fast propagation speed, and are difficult to detect and evaluate, and have become one of the main hidden dangers threatening the safety of high-speed railway operation. At the same time, due to the significant differences between high-speed railway and conventional railway in terms of train running speed, axle load, rail material and track structure, high-speed rail rail oblique crack damage presents some new characteristics in terms of causes and development process, so it is urgent to deepen the understanding of this damage, regularly carry out investigation and work, and curb the momentum of damage development, but there is still a lack of accurate detection and quantitative evaluation methods.

[0039] Magnetic flux leakage detection technology is based on the change of magnetic permeability at the damage site after the ferromagnetic material is magnetized, which causes the magnetic flux leakage field effect. Through the magnetic sensor to capture the distribution characteristics of the magnetic flux leakage field, the depth of the damage can be evaluated, the detection depth can reach 20mm, and it has the advantages of no need for coupling agent, simple operation, high sensitivity, etc., and is suitable for quantitative evaluation of rail tread damage.

[0040] At present, there are many studies on the quantitative evaluation of damage depth by magnetic flux leakage technology. For example: the ultra-high-definition magnetic flux leakage crack detection technology based on magnetic field spatial integration method, through magnetic field integration and iterative analysis of different lift-off distances, the quantitative evaluation of artificial crack depth and width is realized; the quantitative evaluation method based on alternating current magnetic flux leakage signal time domain characteristics, through analyzing the signal difference and nonlinear characteristics, the width and depth are decoupled, and the effectiveness of the method is verified through artificial damage experiment. However, the objects of these studies are mostly artificial damage, and compared with artificial damage with relatively standard shape, natural damage often has great difference in shape and size structure, so it is difficult to improve the actual application effect by establishing evaluation model only for artificial damage.

[0041] The formation mechanism of oblique crack is as follows: rail surface oblique crack is a kind of rolling contact fatigue damage. When the wheel-rail contact surface is the tread and side surface of the rail head, the contact fatigue crack formed at the gauge corner is fish scale shaped, called fish scale peeling crack (abbreviated as fish scale crack); when the wheel-rail contact surface is only on the tread of the rail head, the contact fatigue crack is oblique, called oblique peeling crack (abbreviated as oblique crack), but the oblique crack is more likely to expand inward, forming nuclear injury or even causing breakage.

[0042] The causes of rail oblique crack are multi-source, which can be mainly divided into two categories according to the inducing reasons.

[0043] Category 1: Rail contact fatigue-induced (RCF-related Squats). This mainly includes rolling contact fatigue and corrugation, etc. Oblique cracks of this type are prone to occur at curves and welded joints.

[0044] The second category: WEL-related studs. These mainly include: rail surface abrasions, dents, and poor wear marks. These types of diagonal cracks are prone to occur in the entry and exit sections of hub stations and in the emergency braking test sections of EMU trains.

[0045] Rail surface diagonal cracks are characterized by being difficult to detect in their early stages, developing rapidly in the middle stages, and being difficult to eliminate by grinding or milling in the later stages. They are highly concealed and pose a significant hazard.

[0046] After the formation of oblique cracks in rails, the apparent characteristics of oblique crack damage mainly include "V"-shaped cracks, "black spots", rail surface depressions, and spalling, depending on the different development stages. Its development generally goes through the following main stages: rail surface oblique cracks → rail surface V-shaped cracks → rail surface double V-shaped cracks → rail surface spalling or rail head core damage.

[0047] The formation of leakage magnetic fields at damaged sites in magnetic materials mainly involves three steps: magnetic refraction, magnetic diffusion, and magnetic compression, such as... Figure 1 As shown, Figure 1 This is a specific example diagram illustrating a theory for the formation of a leakage magnetic field in an embodiment of the present invention. This is because the magnetic permeability of ferromagnetic materials is much higher than that of air. After being magnetized, a very high density of magnetic induction field accumulates inside the material. When the ferromagnetic material is damaged, i.e., the interface with the air is discontinuous, the magnetic boundary conditions lead to magnetic refraction. The magnetic field in the material is refracted and deflected into the air near the damaged area, forming magnetic diffusion in the air. However, due to the background magnetic field in the air, there is a reverse repulsive effect on the diffused magnetic field lines at the damaged area, causing the diffused magnetic field lines to be squeezed and deformed, which is the magnetic compression effect.

[0048] Ultimately, a leakage magnetic field Bmfl is formed at the damaged site, where Bmfl = Br + Bd - Bc, where Br is the magnetic flux density under magnetic refraction, Bd is the magnetic flux density caused by magnetic diffusion, and Bc is the magnetic flux density generated by magnetic compression. Br and Bd enhance the leakage magnetic field, while Bc weakens it.

[0049] Common magnetic flux leakage detection equipment uses magnetic sensors to convert the leaking magnetic field into an electrical signal, and then uses signal processing techniques such as signal rectification, acquisition, and digital filtering to extract damage information from the signal.

[0050] The object of the magnetic flux leakage detection in the application is that the electromagnetic field generated by the steel rail under the excitation of the applied direct current magnetizes the steel rail. When the magnetic force line passes through the damage position, the magnetic permeability discontinuity caused by the damage occurs at the interface between the air and the steel rail, and the magnetic diffusion and magnetic compression effect causes part of the magnetic force line to leak outside the steel rail to form a magnetic flux leakage field. Therefore, the damage magnetic flux leakage signal is converted into a voltage signal by using a magnetic sensitive probe to detect the near surface of the steel rail. After signal conditioning and collection, the signal is finally processed and displayed in the upper computer software. The magnetic flux leakage detection principle and the common magnetic flux leakage detection equipment are shown in Figure 2 , Figure 2 is a specific example diagram of a magnetic flux leakage detection principle in the embodiment of the application.

[0051] In view of the poor application of the common artificial damage-based magnetic flux leakage detection evaluation method under natural damage, the application proposes a magnetic flux leakage detection device based on artificial damage and natural damage simultaneously for evaluating the rail surface oblique crack of the high-speed railway steel rail. The method establishes a connection between the artificial damage and the natural damage by analyzing the natural damage polishing, and further forms a corresponding relationship of the calibration line-signal amplitude-natural damage depth by preparing a steel rail with a standard depth cut damage (hereinafter referred to as a calibration line) artificially.

[0052] Through the corresponding relationship, first, the calibration line manufactured under the same standard is detected by using the detection device to obtain the signal amplitude of the corresponding damage, and the natural damage value corresponding to the signal amplitude is found through the corresponding relationship, so that the evaluation of the natural damage can be completed.

[0053] Since the magnetic flux leakage detection device is only an intermediate medium for establishing the relationship, the corresponding relationship obtained by using different detection devices is consistent. Therefore, the core of the evaluation method is that the calibration line to be detected should be standard, which is easy to achieve, and at the same time, the detection amplitude difference caused by different detection devices is eliminated, the artificial damage and the natural damage are directly connected, and the evaluation accuracy is improved.

[0054] The embodiment of the application provides a railway rail surface oblique crack quantification method to improve the evaluation accuracy of the high-speed rail surface oblique crack depth, eliminate the repeated detection cost caused by the equipment difference, improve the universality and reliability of the oblique crack detection in the high-speed rail operation, and refer to Figure 7 , Figure 7 is a flowchart of a railway rail surface oblique crack quantification method in the embodiment of the application. The method can include the following steps.

[0055] Step 701: Obtain a calibration line with a plurality of groups of artificial damage with a preset depth prepared on the surface of the steel rail.

[0056] Step 702: According to the scanning result of the calibration line by the magnetic flux leakage detection device under the preset detection condition, the magnetic flux leakage signal amplitudes of artificial damage with different preset depths are obtained, and a first relationship curve of artificial damage depth and magnetic flux leakage signal amplitude is fitted and generated.

[0057] Step 703: The stepwise polishing is performed on the natural inclined crack on the rail surface, and the measured residual depth after each polishing is obtained; the magnetic flux leakage signal amplitudes corresponding to different measured residual depths are obtained by the magnetic flux leakage detection device, and a second relationship curve of natural damage depth and magnetic flux leakage signal amplitude is fitted and generated.

[0058] Step 704: The depth values of the first relationship curve and the second relationship curve under the same magnetic flux leakage signal amplitude are matched, and a mapping relationship between the artificial damage depth and the natural damage depth is established.

[0059] Step 705: The magnetic flux leakage signal amplitude of the to-be-detected inclined crack is detected, and a quantitative depth value corresponding to the magnetic flux leakage signal amplitude is output based on the mapping relationship.

[0060] In the embodiment of the application, a calibration line containing multiple groups of artificial damage with preset depths is prepared on the surface of the steel rail; according to the scanning result of the calibration line by the magnetic flux leakage detection device under the preset detection condition, the magnetic flux leakage signal amplitudes of artificial damage with different preset depths are obtained, and a first relationship curve of artificial damage depth and magnetic flux leakage signal amplitude is fitted and generated; the stepwise polishing is performed on the natural inclined crack on the rail surface, and the measured residual depth after each polishing is obtained; the magnetic flux leakage signal amplitudes corresponding to different measured residual depths are obtained by the magnetic flux leakage detection device, and a second relationship curve of natural damage depth and magnetic flux leakage signal amplitude is fitted and generated; the depth values of the first relationship curve and the second relationship curve under the same magnetic flux leakage signal amplitude are matched, and a mapping relationship between the artificial damage depth and the natural damage depth is established; the magnetic flux leakage signal amplitude of the to-be-detected inclined crack is detected, and a quantitative depth value corresponding to the magnetic flux leakage signal amplitude is output based on the mapping relationship. The mapping relationship between the artificial damage depth and the natural damage depth is established in the embodiment of the application, the second relationship curve established by the stepwise polishing of the real natural crack accurately reflects the characteristics of irregular cracks, and the differences between the regularity of artificial damage and the discreteness of natural damage are overcome; the mapping relationship takes the calibration line as a device-independent reference, when different devices scan the same calibration line, the unified natural damage depth value is output through depth matching, the evaluation deviation caused by the device difference is eliminated, the repeated detection cost caused by the device difference is reduced, and the universality and reliability of the inclined crack detection in high-speed rail operation and maintenance are improved.

[0061] In specific implementation, first, step 701 is performed: a calibration line containing multiple groups of artificial damage with preset depths is prepared on the surface of the steel rail.

[0062] In the embodiment, when the calibration line with multiple groups of preset-depth artificial damages is prepared on the surface of the rail, a rail material with the same material, heat treatment process and mechanical properties as the actual operation rail is first selected as the base body. The artificial damages are prepared by precise mechanical machining, specifically, a diamond cutting tool is used to cut vertically along the longitudinal axis of the rail head tread, the cutting direction is parallel to the rail axis, and the cutting width is controlled within the range of 0.2mm to 0.5mm to simulate the characteristics of the real crack. The preset-depth groups cover the typical damage range from shallow to deep, including 0.35mm, 0.5mm, 1.0mm, 1.5mm, 2.0mm, 2.7mm, 3.5mm, 4.0mm, 6.0mm and 8.0mm, a total of ten groups of gradient distribution depth values. The calibration line is used as a reference test piece, and the depth values of the artificial damages are certified by a measurement organization and form a standardized data record.

[0063] In the specific implementation, after the step 701 of obtaining the calibration line with multiple groups of preset-depth artificial damages prepared on the surface of the rail, the step 702 of obtaining the magnetic flux leakage signal amplitude of different preset-depth artificial damages according to the scanning result of the magnetic flux leakage detection equipment on the calibration line under the preset detection condition is performed, and a first relationship curve between the artificial damage depth and the magnetic flux leakage signal amplitude is fitted and generated.

[0064] In one embodiment, the magnetic flux leakage signal amplitude of different preset-depth artificial damages is obtained according to the scanning result of the magnetic flux leakage detection equipment on the calibration line under the preset detection condition, which includes:

[0065] The calibration line is repeatedly scanned multiple times under different moving speeds;

[0066] The maximum value of the magnetic flux leakage signal amplitude is extracted after each scanning;

[0067] The average value of the signal amplitude is calculated for multiple scanning results of the same artificial damage;

[0068] The first relationship curve is generated by curve fitting based on the preset depth of each artificial damage and the corresponding average signal amplitude.

[0069] In the above embodiment, when the magnetic flux leakage signal amplitude of the artificial damage is obtained according to the scanning result of the magnetic flux leakage detection equipment on the calibration line, a direct current excitation magnetization unit is used to apply a constant strength magnetic field to the rail, and the magnetization direction is parallel to the longitudinal axis of the rail. The magnetic sensor array moves at a constant speed along the calibration line at a fixed lift-off distance, and the sensor type is selected to be a high-sensitivity magnetic induction element, and the sampling frequency meets the high-speed detection requirement.

[0070] The scanning process includes repeated detection of different moving speeds, and the speed range covers the train running speed interval under typical working conditions. Multiple channel detection signals are synchronously collected each time the scanning is performed, and the global maximum value of the magnetic flux leakage signal amplitude in all channels is extracted as the characteristic value of the scanning for each preset depth of artificial damage.

[0071] After multiple scans are completed, the characteristic values obtained at different speeds for the same artificial damage are arithmetically averaged to eliminate signal deviations caused by speed fluctuations. Finally, the corresponding data of multiple preset depths and average signal amplitudes are obtained. Based on the data set, a polynomial function is fitted by the least square method, and the order of the function is determined according to the data distribution characteristics. The first relationship curve completely represents the nonlinear mapping rule of the depth of artificial damage and the amplitude of the magnetic flux leakage signal. The curve shape shows that the amplitude of the shallow damage area increases slowly, and the amplitude change rate of the deep damage area significantly increases, which is consistent with the physical characteristics caused by the magnetic saturation effect of ferromagnetic materials. The fitting result is verified by residual analysis and the determination coefficient to ensure that the curve accuracy meets the engineering application standard.

[0072] In the implementation, after the step 702 of obtaining the magnetic flux leakage signal amplitudes of artificial damages with different preset depths according to the scanning results of the calibration line under the preset detection conditions by the magnetic flux leakage detection device and generating the first relationship curve of the depth of artificial damage and the amplitude of the magnetic flux leakage signal is performed, the step 703 of performing step-by-step polishing on the natural inclined cracks on the rail surface to obtain the measured residual depths after each polishing, and obtaining the magnetic flux leakage signal amplitudes corresponding to different measured residual depths by the magnetic flux leakage detection device and generating the second relationship curve of the depth of natural damage and the amplitude of the magnetic flux leakage signal is performed.

[0073] In an embodiment, the step-by-step polishing on the natural inclined cracks on the rail surface to obtain the measured residual depths after each polishing includes:

[0074] Each time the step-by-step polishing removes a preset thickness until the natural damage trace disappears;

[0075] The measured residual depths after each polishing are obtained.

[0076] In an embodiment, the step of obtaining the magnetic flux leakage signal amplitudes corresponding to different measured residual depths by the magnetic flux leakage detection device and generating the second relationship curve of the depth of natural damage and the amplitude of the magnetic flux leakage signal includes:

[0077] After each polishing, multiple scans are performed under the same detection conditions by using the magnetic flux leakage detection device, and the maximum value of the magnetic flux leakage signal amplitude is extracted;

[0078] The average value of the signal amplitudes of the multiple scanning results for the same residual depth is calculated;

[0079] Based on each residual depth and the corresponding average signal amplitude, the second relationship curve is generated by curve fitting.

[0080] In the above embodiment, when the depth data is obtained by performing step-by-step polishing on the natural inclined crack of the rail surface, first, a natural inclined crack damage area existing in the actual line is selected, which includes complete inclined crack development characteristics. The polishing equipment adopts a numerical control grinding wheel grinding system, the grinding head diameter is selected from standard specifications, the particle size is moderate, and the spindle speed is kept stable. The polishing thickness is precisely controlled to be a preset fixed value each time, the polishing direction is strictly along the longitudinal direction of the rail, and the polishing width covers the damage area and its peripheral extension range. The surface is cleaned immediately after each polishing, and the height difference between the lowest point of the damage and the rail surface reference is measured as the residual depth using a high-precision displacement sensor. The process is repeated until the damage mark disappears completely, and the residual depth values after each polishing are recorded.

[0081] After each polishing, the same magnetic flux leakage detection equipment is used for signal acquisition. The magnetization unit of the equipment applies the same direct current excitation parameters as the calibration line detection, and the magnetic sensor keeps the lifting distance constant. In each residual depth state, multiple repeated scans are performed at a speed range covering the actual detection working condition. The multi-channel magnetic flux leakage signals are recorded in real time during the scanning process, and the global maximum value of the signal amplitude in all channels is extracted as the characteristic value for each scan. After completing multiple scans, the characteristic values at the same residual depth are processed by arithmetic mean to obtain the stable amplitude data corresponding to that depth.

[0082] Based on the corresponding data of multiple groups of residual depth and average amplitude, a polynomial function is fitted by least squares method. The function completely reflects the mapping rule of natural inclined crack depth and magnetic flux leakage signal, and the curve shape conforms to the magnetic field attenuation characteristics caused by the sub-surface expansion of natural damage, and the fitting goodness reaches the predetermined standard. The second relationship curve serves as the depth evaluation reference of natural damage.

[0083] In specific implementation, after step 703: obtaining the measured residual depth after each polishing by performing step-by-step polishing on the natural inclined crack of the rail surface, and obtaining the magnetic flux leakage signal amplitude corresponding to different measured residual depths by the magnetic flux leakage detection equipment, and fitting to generate the second relationship curve of natural damage depth and magnetic flux leakage signal amplitude, step 704: matching the depth values at the same magnetic flux leakage signal amplitude of the first relationship curve and the second relationship curve to establish the mapping relationship between artificial damage depth and natural damage depth is performed.

[0084] In one embodiment, matching the depth values at the same magnetic flux leakage signal amplitude of the first relationship curve and the second relationship curve to establish the mapping relationship between artificial damage depth and natural damage depth includes:

[0085] Selecting multiple signal amplitude points on the first relationship curve;

[0086] finding a corresponding amplitude point on the second relationship curve that is the same as the signal amplitude point;

[0087] recording the correspondence between the artificial damage depth value and the natural damage depth value at the same signal amplitude;

[0088] establishing a mapping dataset of artificial damage depth and natural damage depth based on the correspondence.

[0089] In the above embodiment, when matching the depth values of the first relationship curve and the second relationship curve at the same magnetic flux leakage signal amplitude, first, a plurality of signal amplitude points covering the full range of artificial damage are selected on the first relationship curve. The selection process needs to ensure that the amplitude points are evenly distributed and cover the key feature points from the low amplitude region of shallow damage to the high amplitude region of deep damage. Then, the amplitude matching operation is performed on the second relationship curve, and the corresponding point exactly the same as the amplitude point selected from the first relationship curve is accurately found through function interpolation or data traversal. During the matching process, a double-precision floating-point number comparison algorithm is used to ensure that the amplitude difference is controlled within the instrument measurement error range.

[0090] After completing the amplitude point matching, the system automatically records the correspondence between the artificial damage depth value and the natural damage depth value at the same signal amplitude. The recording format is structured data pairs, and each group of data contains three core fields: matching signal amplitude, artificial damage depth, and natural damage depth. Based on all the matching points, a depth mapping dataset is generated, which is arranged in ascending order of signal amplitude to form a query index table. In the mapping data verification stage, by comparing the known depth of the calibration line with the natural damage depth output by the mapping, it is confirmed that the maximum depth deviation does not exceed the preset threshold. The finally formed mapping dataset contains the complete depth correspondence from shallow to deep damage, serving as a device-independent evaluation benchmark.

[0091] In specific implementation, after step 704 of matching the depth values of the first relationship curve and the second relationship curve at the same magnetic flux leakage signal amplitude to establish the mapping relationship of artificial damage depth and natural damage depth, step 705 of detecting the magnetic flux leakage signal amplitude of the to-be-tested oblique crack and outputting the quantized depth value corresponding to the magnetic flux leakage signal amplitude based on the mapping relationship is performed.

[0092] In one embodiment, detecting the magnetic flux leakage signal amplitude of the to-be-tested oblique crack and outputting the quantized depth value corresponding to the magnetic flux leakage signal amplitude based on the mapping relationship comprises:

[0093] scanning the to-be-tested oblique crack using the magnetic flux leakage detection device to obtain its magnetic flux leakage signal amplitude;

[0094] matching the artificial damage depth value that is the same as the obtained signal amplitude in the mapping relationship;

[0095] According to the corresponding relationship between the artificial damage depth value and the natural damage depth in the mapping relationship, the corresponding natural damage depth value is output as a quantitative evaluation result.

[0096] In the above embodiment, when detecting the to-be-detected oblique crack and outputting the quantitative depth value, first, the to-be-detected region is scanned using the same magnetic flux leakage detection device as the calibration line detection. The device magnetization unit applies standard direct current excitation parameters, and the magnetic sensor array moves along the longitudinal direction of the steel rail at a constant lift-off distance. During the scanning process, multi-channel magnetic flux leakage signals are collected in real time, and the global maximum value of the signal amplitude in all channels is extracted as the characteristic amplitude of the to-be-detected crack. After the signal conditioning module eliminates environmental noise interference, the characteristic amplitude is input into the data processing system.

[0097] The data processing system calls the pre-stored mapping relationship data set and performs a characteristic amplitude matching operation in the artificial damage depth index column. The matching process uses the nearest neighbor interpolation algorithm, and when the difference between the characteristic amplitude and the amplitude corresponding to a certain artificial damage depth in the mapping data set is less than a preset threshold, it is determined that the matching is successful. The system automatically reads the artificial damage depth value, and according to the corresponding relationship between the natural damage depth bound to it in the mapping relationship, outputs the corresponding natural damage depth value as the final quantitative result.

[0098] A specific embodiment is given below to illustrate the specific application of the method of the present application.

[0099] In the embodiment, first, a calibration line containing multiple groups of artificial damage with preset depths is prepared on the surface of the steel rail, and the artificial damage depths cover the typical damage range. The magnetic flux leakage detection device is used to scan the calibration line under preset detection conditions, the device magnetization unit applies a direct current excitation magnetic field, and the magnetic sensor array moves at a constant lift-off distance. The scanning process includes multiple repeated detections at different moving speeds, and the maximum value of the amplitude of the multi-channel magnetic flux leakage signal is extracted as the characteristic value after each scan. The arithmetic mean of the multiple characteristic values of the same artificial damage is calculated to obtain the stable amplitude data corresponding to each preset depth. Based on the corresponding data set of the preset depth and the average amplitude, a first relationship curve of the artificial damage depth and the magnetic flux leakage signal amplitude is generated by least squares fitting.

[0100] A natural oblique crack in an actual line is selected for step-by-step polishing. A fixed thickness of material is removed each time, and the surface is cleaned immediately after polishing and the remaining depth is measured. The process is repeated until the damage mark disappears, and the remaining depth value after each polishing is recorded. After each polishing, the same magnetic flux leakage detection device is used to scan under the same detection conditions, multi-channel magnetic flux leakage signals are collected, and the maximum amplitude value is extracted. The average amplitude value of the multiple scanning results of the same remaining depth is calculated to form a corresponding data set of the natural damage depth and the average amplitude. Based on the data set, a second relationship curve of the natural damage depth and the magnetic flux leakage signal amplitude is generated by fitting.

[0101] The first relationship curve and the second relationship curve are matched in terms of the depth value under the same leakage magnetic signal amplitude. The characteristic amplitude points are uniformly selected on the first curve, the same amplitude points are found on the second curve through an interpolation algorithm, and the corresponding artificial damage depth and natural damage depth data pair is recorded. The mapping data set of the artificial damage depth and the natural damage depth is constructed based on all the matching points, and the data is arranged in ascending order of amplitude to form an index table.

[0102] When detecting the to-be-detected oblique crack, the target area is scanned by using the same leakage magnetic detection equipment. The multi-channel leakage magnetic signals are collected in real time, and the global maximum value of the amplitude is extracted as a characteristic amplitude. The artificial damage depth value closest to the characteristic amplitude is matched in the mapping data set, and the corresponding natural damage depth value is converted according to the mapping relationship and output as a quantitative result. When the characteristic amplitude exceeds the mapping range, the boundary extrapolation algorithm is enabled and a precision warning is generated. The output result includes the detection position coordinates, the signal characteristic value and the quantitative depth value.

[0103] Specifically, the artificial damage data of the calibration line established in this embodiment is shown in the calibration line artificial damage table in Table 1.

[0104] The artificial damage cut on the calibration line is detected by using the leakage magnetic detection equipment, and the maximum value of the amplitude in the multi-detection channel is selected as the detection signal amplitude of the corresponding damage.

[0105] Table 1

[0106] Standard injury 1# 2# 3# 4# 5# 6# 7# 8# 9# 10# Depth of cut (in mm) 0.35 0.5 1.0 1.5 2.0 2.7 3.5 4.0 6.0 8.0

[0107] In order to ensure the reliability of the detection signal, the calibration line artificial damage is collected 10 times at different speeds and averaged, a fitting relationship curve is established by collecting data, and the correlation coefficient R 2 is calculated. The closer the artificial damage value is, the greater the correlation coefficient of the fitting curve is, and the more accurate the corresponding relationship established is.

[0108] The same leakage magnetic detection equipment is applied to detect the natural damage, and 1mm is polished every detection, the corresponding relationship between the natural damage and the detection amplitude is established, and a fitting curve is established.

[0109] The calibration line signal amplitude-damage depth fitting curve (i.e. the first relationship curve described above) and the natural damage signal amplitude-damage depth fitting curve (i.e. the second relationship curve described above) are combined, and the corresponding relationship under the same leakage magnetic detection equipment detection signal amplitude is obtained. The specific calibration process is shown in Figure 3 , Figure 3 is a specific example diagram of the leakage magnetic detection equipment calibration step in the embodiment of the application.

[0110] Table 2 is a corresponding data table of calibration line artificial damage depth and signal amplitude, and the artificial damage in Table 1 is used to determine the signal amplitude of the artificial damage. As shown in Table 2, the corresponding relationship between the calibration line damage depth and the signal amplitude is fitted to be a polynomial:

[0111] y = -0.1051x 3 + 1.3242x 2 - 1.5659x + 1.095 (1)

[0112] Table 2

[0113]

[0114]

[0115] wherein, R 2 = 0.9778. As shown in the results, Figure 4 Figure 4 is a specific schematic diagram of the corresponding relationship between the calibration line damage depth and the signal amplitude in the embodiment of the application.

[0116] In order to accurately evaluate the natural damage depth, the natural damage of the shallow surface layer of the rail surface is polished once every 1.0 mm, and the corresponding magnetic flux leakage signal amplitude is recorded, and the polishing is accumulated for 5 times. It is confirmed that the deepest part of the natural damage is about 4.75 mm, and there is no damage mark after the fifth polishing. Similar to the operation of the calibration rail, the magnetic flux leakage detection equipment is used to detect 10 times at different speeds after each polishing, and the recorded signal amplitude is averaged, as shown in Table 3, and Table 3 is a corresponding data table of natural damage depth and signal amplitude.

[0117] Table 3

[0118]

[0119] Table 4 is a corresponding relationship table of the same amplitude calibration line depth and natural damage depth, and the data in Table 4 is fitted, and the corresponding relationship between the natural damage depth and the signal amplitude is fitted to be a polynomial:

[0120] y = -0.0317x 3 + 0.3534x 2 + 1.3453x + 0.3657 (2)

[0121] wherein, R 2 = 0.9887, as shown in the results, Figure 5 Figure 5 is a specific example diagram of the corresponding relationship between the natural damage depth and the signal amplitude in the embodiment of the application.

[0122] ​​The fitting curve of the calibration line signal amplitude-depth of damage and the fitting curve of the natural damage signal amplitude-depth of damage are combined to obtain the corresponding relationship under the signal amplitude detected by the magnetic flux leakage detection equipment. Points with the same signal amplitude of the calibration line (10 artificial damages) in the fitting result are selected for comparison, as shown in Table 4. Figure 6 Figure 6 Table 4 shows the corresponding data of the calibration line depth and the natural damage depth under the same amplitude.

[0123] Table 4

[0124]

[0125] The corresponding relationship between the artificial damage calibration line and the natural damage is established through the relationship, that is, the depth of the natural damage can be evaluated by the calibration line damage for different natural damages through the relationship between the two.

[0126] To verify the reliability of the evaluation method, after the calibration of the magnetic flux leakage detection equipment, the depth of 15 natural damages is quantitatively evaluated, and the evaluation depth is compared with the actual depth obtained after polishing. The evaluation results are shown in Table 5.

[0127] Table 5

[0128]

[0129]

[0130] Through the experimental test, it can be seen that the error of the calibrated magnetic flux leakage detection equipment is within 18%, which meets the actual application requirements.

[0131] The technical key point of the present application is to establish the mapping relationship between the calibration line, the signal amplitude and the depth of the natural damage by the magnetic flux leakage detection equipment. Since different magnetic flux leakage detection equipment has inconsistency in outputting the signal amplitude for the same damage due to the difference in manufacturing process, the establishment of the mapping relationship is the core prerequisite to ensure the authenticity and effectiveness of the detection results. The specific implementation manner is as follows: first, a calibration line containing artificial damages with a preset depth is prepared as a reference test piece, and at the same time, the depth profile data of the natural oblique crack is obtained by performing step-by-step polishing; then the same magnetic flux leakage detection equipment is used to scan the artificial damage of the calibration line and the natural damage in the polishing process, and the signal amplitude is collected synchronously; based on the artificial damage depth-signal amplitude curve and the natural damage depth-signal amplitude curve, the depth values are matched under the same signal amplitude condition to form the corresponding relationship data set of the calibration line artificial damage depth and the natural damage depth.

[0132] ​The key point of the technology creatively solves the evaluation deviation problem caused by equipment difference. When different magnetic flux leakage detection equipment is replaced, only the signal amplitude of the same calibration line needs to be scanned to output the unified natural damage depth value through the mapping relationship, without the need to re-establish the natural damage model. In this process, the stepped polishing operation of the natural damage is the basis for establishing the true depth-signal relationship, and the calibration line as a device-independent conversion medium realizes the standardized output of the detection results.

[0133] The protection point of the present application focuses on the method system of establishing a mapping relationship by combining natural damage polishing with magnetic flux leakage detection. The method includes three necessary links: first, by precisely polishing the natural damage and measuring the remaining depth, a depth dataset of the real damage is constructed; second, the signal amplitude of each stage of polishing is synchronously acquired by using the magnetic flux leakage detection equipment to form a natural damage depth-signal amplitude reference curve; third, the natural damage reference curve and the calibration line artificial damage curve are matched in signal amplitude, and finally the conversion rule of artificial damage depth and natural damage depth is formed. The method is suitable for any artificial damage calibration line that meets the steel rail material specification, and when the calibration line parameters are changed, the mapping relationship is re-established through the same process, which still falls within the protection scope of the present application.

[0134] Of course, it can be understood that the above detailed process can also have other variations, and the relevant variations should fall within the protection scope of the present application.

[0135] In the embodiment of the present application, a calibration line with multiple groups of preset depth artificial damage prepared on the surface of the steel rail is acquired; according to the scanning result of the calibration line by the magnetic flux leakage detection equipment under preset detection conditions, the magnetic flux leakage signal amplitudes of different preset depth artificial damage are acquired, and a first relationship curve of artificial damage depth and magnetic flux leakage signal amplitude is fitted and generated; the stepped polishing of the natural inclined crack on the rail surface is performed to acquire the measured remaining depth after each polishing; the magnetic flux leakage signal amplitudes corresponding to different measured remaining depths are acquired by the magnetic flux leakage detection equipment, and a second relationship curve of natural damage depth and magnetic flux leakage signal amplitude is fitted and generated; the first relationship curve and the second relationship curve are matched in depth value under the same magnetic flux leakage signal amplitude to establish a mapping relationship between artificial damage depth and natural damage depth; the magnetic flux leakage signal amplitude of the to-be-detected inclined crack is detected, and a quantitative depth value corresponding to the magnetic flux leakage signal amplitude is output based on the mapping relationship. The embodiment of the present application establishes the mapping relationship between artificial damage depth and natural damage depth, the second relationship curve established by the stepped polishing of the real natural crack accurately reflects the characteristics of the irregular crack, and overcomes the difference between the regularity of artificial damage shape and the discreteness of natural damage; the mapping relationship takes the calibration line as a device-independent reference, when different equipment scans the same calibration line, the unified natural damage depth value is output through the depth matching, the evaluation deviation caused by the equipment difference is eliminated, the repeated detection cost caused by the equipment difference is reduced, and the universality and reliability of the inclined crack detection in high-speed rail operation and maintenance are improved.

[0136] As described above, the present application establishes the calibration line-signal amplitude-natural damage relationship based on different depths of cracks under the calibration line by the magnetic flux leakage detection equipment. Since different magnetic flux leakage detection equipment has different manufacturing processes, the same damage detected by different magnetic flux leakage detection equipment has different signal amplitudes. Therefore, the establishment of the calibration line-signal amplitude-natural damage depth corresponding relationship by reasonable calibration is the premise of ensuring the true and effective magnetic flux leakage detection result. The relationship is established by polishing the natural damage, and the correlation between the calibration line-signal amplitude-natural damage is effectively avoided due to the difference of the detection result caused by different magnetic flux leakage detection equipment. In the embodiment, the artificial damage setting condition of the rail surface inclined crack calibration line is also applicable to the key point of different calibration line artificial damage, that is, when the artificial damage calibration line is replaced, the calibration line-signal amplitude-natural damage relationship is established by the method mentioned in the text, which is also covered by the present application.

[0137] The present application establishes a hyperbolic mapping mechanism of "artificial calibration line-natural damage", taking the calibration line as the equipment-independent intermediate reference, and converting the easy-to-detect artificial damage signal into the real natural damage depth by matching the artificial / natural damage depth under the same signal amplitude. Both the controllability advantage of artificial damage and the authenticity data of natural damage are retained, and the false judgment problem of the existing magnetic flux leakage detection technology for high-speed rail natural inclined crack is fundamentally solved.

[0138] The present application also provides a railway rail surface inclined crack quantification device, as described in the following embodiment. Since the principle of solving the problem of the device is similar to the railway rail surface inclined crack quantification method, the implementation of the device can be referred to the implementation of the railway rail surface inclined crack quantification method, and the repeated parts will not be described again.

[0139] The present application also provides a railway rail surface inclined crack quantification device to improve the accuracy of high-speed rail surface inclined crack depth evaluation, eliminate the repeated detection cost caused by equipment difference, and improve the universality and reliability of inclined crack detection in high-speed rail operation and maintenance, as shown in Figure 9 , and Figure 9 is a structure diagram of a railway rail surface inclined crack quantification device in the embodiment of the present application. The device comprises:

[0140] The calibration line acquisition module 901 is configured to acquire a calibration line with a plurality of groups of artificial damage of preset depths prepared on the surface of the rail;

[0141] The first relationship curve establishment module 902 is configured to acquire the magnetic flux leakage signal amplitudes of different preset depths of artificial damage according to the scanning results of the magnetic flux leakage detection equipment on the calibration line under the preset detection conditions, and fit to generate a first relationship curve of artificial damage depth and magnetic flux leakage signal amplitude;

[0142] The second relationship curve establishing module 903 is configured to perform step-by-step polishing on the rail surface natural inclined crack, obtain the measured residual depth after each polishing, and obtain the magnetic flux leakage signal amplitude corresponding to different measured residual depths by using the magnetic flux leakage detection device, and generate a second relationship curve of the natural damage depth and the magnetic flux leakage signal amplitude by fitting.

[0143] The mapping relationship establishing module 904 is configured to match the depth values of the same magnetic flux leakage signal amplitude of the first relationship curve and the second relationship curve, and establish a mapping relationship between the artificial damage depth and the natural damage depth.

[0144] The quantized depth value output module 905 is configured to detect the magnetic flux leakage signal amplitude of the to-be-detected inclined crack, and output a quantized depth value corresponding to the magnetic flux leakage signal amplitude based on the mapping relationship.

[0145] In an embodiment, the magnetic flux leakage detection device is used to scan the calibration line under a preset detection condition, and the magnetic flux leakage signal amplitudes of different preset depths of artificial damage are obtained, including:

[0146] The calibration line is repeatedly scanned multiple times under different moving speeds.

[0147] The maximum value of the magnetic flux leakage signal amplitude is extracted after each scanning.

[0148] The average value of the signal amplitudes is calculated based on the multiple scanning results of the same artificial damage.

[0149] The first relationship curve is generated by curve fitting based on the preset depth of each artificial damage and the corresponding average signal amplitude.

[0150] In an embodiment, the rail surface natural inclined crack is polished step by step, and the measured residual depth after each polishing is obtained, including:

[0151] Each time the step-by-step polishing removes a preset thickness until the natural damage trace disappears.

[0152] The measured residual depth after each polishing is obtained.

[0153] In an embodiment, the magnetic flux leakage detection device is used to obtain the magnetic flux leakage signal amplitude corresponding to different measured residual depths, and a second relationship curve of the natural damage depth and the magnetic flux leakage signal amplitude is generated by fitting, including:

[0154] The magnetic flux leakage detection device is used to scan multiple times under the same detection condition after each polishing, and the maximum value of the magnetic flux leakage signal amplitude is extracted.

[0155] The average value of the signal amplitudes is calculated based on the multiple scanning results of the same residual depth.

[0156] Based on each residual depth and the corresponding average signal amplitude, the second relationship curve is generated by curve fitting.

[0157] In one embodiment, the first relationship curve and the second relationship curve are matched in depth values at the same magnetic flux leakage signal amplitude, and a mapping relationship between artificial damage depth and natural damage depth is established, including:

[0158] A plurality of signal amplitude points are selected on the first relationship curve.

[0159] The same corresponding amplitude points on the second relationship curve are searched for the signal amplitude points.

[0160] The corresponding relationship between the artificial damage depth value and the natural damage depth value at the same signal amplitude is recorded.

[0161] A mapping dataset of artificial damage depth and natural damage depth is established based on the corresponding relationship.

[0162] In one embodiment, the magnetic flux leakage signal amplitude of the oblique crack to be detected is detected, and a quantitative depth value corresponding to the magnetic flux leakage signal amplitude is output based on the mapping relationship, including:

[0163] The oblique crack to be detected is scanned using the magnetic flux leakage detection device, and the magnetic flux leakage signal amplitude thereof is obtained.

[0164] The artificial damage depth value same as the obtained signal amplitude is matched in the mapping relationship.

[0165] According to the corresponding relationship between the artificial damage depth value and the natural damage depth in the mapping relationship, the corresponding natural damage depth value is output as a quantitative evaluation result.

[0166] Embodiments of the present application provide an embodiment of a computer device for implementing all or part of the above railway rail surface oblique crack quantification method, which specifically includes the following content:

[0167] A processor, a memory, a communications interface, and a bus; wherein the processor, the memory, and the communications interface complete mutual communication through the bus; the communications interface is used to realize information transmission between related devices; the computer device can be a desktop computer, a tablet computer, and a mobile terminal, etc., and the present embodiment is not limited thereto. In the present embodiment, the computer device can be implemented by referring to the embodiment of the railway rail surface oblique crack quantification method and the embodiment of the railway rail surface oblique crack quantification device, the contents of which are incorporated herein, and repeated descriptions are not repeated.

[0168] Figure 8This is a schematic block diagram illustrating the system configuration of the computer device 1000 according to an embodiment of this application. Figure 8 As shown, the computer device 1000 may include a central processing unit 1001 and a memory 1002; the memory 1002 is coupled to the central processing unit 1001. It is worth noting that... Figure 8 This is an example; other types of structures can also be used to supplement or replace this structure to achieve telecommunications functions or other functions.

[0169] In one embodiment, the function for quantifying oblique cracks on the railway track surface can be integrated into the central processing unit 1001. The central processing unit 1001 can be configured to perform the following control:

[0170] Obtain calibration lines pre-prepared on the rail surface containing multiple sets of artificially created damage at preset depths;

[0171] Based on the scanning results of the calibration line by the magnetic flux leakage detection device under preset detection conditions, the magnetic flux leakage signal amplitude of artificial damage at different preset depths is obtained, and a first relationship curve between the depth of artificial damage and the amplitude of magnetic flux leakage signal is generated by fitting.

[0172] By performing stepped grinding on the natural oblique cracks on the rail surface, the remaining depth after each grinding is obtained; the leakage magnetic field detection device is used to obtain the leakage magnetic field signal amplitude corresponding to different remaining depths, and a second relationship curve between the natural damage depth and the leakage magnetic field signal amplitude is generated by fitting.

[0173] The depth values ​​of artificial damage and natural damage are matched by the first relationship curve and the second relationship curve under the same leakage magnetic signal amplitude to establish a mapping relationship between the depth of artificial damage and the depth of natural damage.

[0174] The amplitude of the leakage magnetic field signal of the oblique crack under test is detected, and a quantized depth value corresponding to the amplitude of the leakage magnetic field signal is output based on the mapping relationship.

[0175] In another embodiment, the railway track surface diagonal crack quantification device can be configured separately from the central processing unit 1001. For example, the railway track surface diagonal crack quantification device can be configured as a chip connected to the central processing unit 1001, and the railway track surface diagonal crack quantification function can be realized through the control of the central processing unit.

[0176] like Figure 8 As shown, the computer device 1000 may further include: a communication module 1003, an input unit 1004, an audio processor 1005, a display 1006, and a power supply 1007. It is worth noting that the computer device 1000 does not necessarily need to include... Figure 8 All components shown; in addition, the computer device 1000 may also include Figure 8 For components not shown, please refer to existing technologies.

[0177] As Figure 8 indicated, the central processing unit 1001, which is sometimes also referred to as a controller or operation control, can include a microprocessor or other processor device and / or logic device, which receives input and controls the operation of the various components of the computer device 1000.

[0178] The memory 1002, for example, can be one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. Information relating to the device described above can be stored, and in addition, programs for executing the information relating to the device can be stored. The central processing unit 1001 can execute the programs stored in the memory 1002 to achieve information storage or processing, etc.

[0179] The input unit 1004 provides input to the central processing unit 1001. The input unit 1004 is, for example, a key or touch input device. The power supply 1007 is used to provide power to the computer device 1000. The display 1006 is used to display display objects such as images and text. The display can be, for example, an LCD display, but is not limited thereto.

[0180] The memory 1002 can be a solid state memory, such as a read only memory (ROM), a random access memory (RAM), a SIM card, etc. It can also be a memory that retains information even when power is off, can be selectively erased, and is provided with more data, examples of which are sometimes referred to as EPROM, etc. The memory 1002 can also be some other type of device. The memory 1002 includes a buffer memory 1021 (sometimes referred to as a buffer). The memory 1002 can include an application / function storage section 1022 for storing application programs and function programs or for executing the flow of the operation of the computer device 1000 by the central processing unit 1001.

[0181] The memory 1002 can also include a data storage section 1023 for storing data such as contacts, digital data, pictures, sounds, and / or any other data used by the computer device. A driver storage section 1024 of the memory 1002 can include various drivers of the computer device for communication functions and / or for executing other functions of the computer device, such as a messaging application, an address book application, etc.

[0182] The communication module 1003 is a transmitter / receiver that transmits and receives signals via the antenna 1008. The communication module (transmitter / receiver) 1003 is coupled to the central processing unit 1001 to provide input signals and receive output signals, which can be the same as in the case of a conventional mobile communication terminal.

[0183] Based on different communication technologies, multiple communication modules 1003, such as a cellular network module, a Bluetooth module, and / or a wireless local area network module, etc., can be provided in the same computer device. The communication module (transmitter / receiver) 1003 is also coupled to a speaker 1009 and a microphone 1010 via an audio processor 1005 to provide audio output via the speaker 1009 and to receive audio input from the microphone 1010 to implement the usual telecommunication functions. The audio processor 1005 can include any suitable buffers, decoders, amplifiers, etc. In addition, the audio processor 1005 is also coupled to the central processor 1001 to enable recording on the local device via the microphone 1010 and to enable playing of stored sounds on the local device via the speaker 1009.

[0184] The embodiment of the present application also provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the railway rail surface oblique crack quantification method.

[0185] The embodiment of the present application also provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to realize the railway rail surface oblique crack quantification method.

[0186] In the embodiment of the present application, a calibration line with multiple groups of preset depth artificial damage is obtained on the surface of the steel rail; according to the scanning result of the magnetic flux leakage detection equipment on the calibration line under the preset detection condition, the magnetic flux leakage signal amplitudes of different preset depth artificial damage are obtained, and a first relationship curve of the artificial damage depth and the magnetic flux leakage signal amplitude is fitted and generated; the measurement residual depth after each polishing is obtained by performing step-by-step polishing on the natural oblique crack of the rail surface; the magnetic flux leakage signal amplitudes corresponding to different measurement residual depths are obtained by the magnetic flux leakage detection equipment, and a second relationship curve of the natural damage depth and the magnetic flux leakage signal amplitude is fitted and generated; the depth values under the same magnetic flux leakage signal amplitude of the first relationship curve and the second relationship curve are matched, and a mapping relationship of the artificial damage depth and the natural damage depth is established; the magnetic flux leakage signal amplitude of the to-be-detected oblique crack is detected, and a quantification depth value corresponding to the magnetic flux leakage signal amplitude is output based on the mapping relationship. In the embodiment of the present application, the mapping relationship of the artificial damage depth and the natural damage depth is established, the second relationship curve established by the step-by-step polishing of the real natural crack accurately reflects the irregular crack characteristics, and the difference between the regularity of the artificial damage form and the discreteness of the natural damage is overcome; the mapping relationship takes the calibration line as a device-independent reference, when different devices scan the same calibration line, the unified natural damage depth value is output through the depth matching, the evaluation deviation caused by the device difference is eliminated, the repeated detection cost caused by the device difference is reduced, and the universality and reliability of the oblique crack detection in high-speed rail operation and maintenance are improved.

[0187] Those skilled in the art will appreciate that embodiments of the present application can be readily used as software, hardware, or a combination of software and hardware. In a software embodiment, the present application can be implemented with computer programs (also referred to as software instructions, software code, computer code, and the like) that execute on programmable hardware including computer processors, digital signal processors, microprocessors, central processing units, microcontrollers, programmable hardware logic devices, and the like. Generally, the present application can be implemented in hardware, software, or any combination of hardware and software.

[0188] The present application is described in reference to the flowchart illustrations and / or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processing device or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart Figure 1 one or more functions specified in the flowchart block or blocks. Figure 1 one or more functions specified in the flowchart block or blocks.

[0189] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart block or blocks. Figure 1 one or more functions specified in the flowchart block or blocks. Figure 1 one or more functions specified in the flowchart block or blocks.

[0190] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more functions specified in the flowchart block or blocks. Figure 1 one or more functions specified in the flowchart block or blocks.

[0191] The specific embodiments described above have been disclosed by way of example and that, obviously, any modifications and / or alterations to the disclosed embodiment are conceivable to the skilled in the art falls within the scope of the present application. Although the present application has been described in detail with reference to particular implementations, it is not intended to limit the application to the specific implementations discussed and illustrated. Those skilled in the art will recognize that many changes can be made to the specific implementations described, while still obtaining the beneficial results of the present application. It will be appreciated that those skilled in the art will be able to devise numerous alternative arrangements which, although not explicitly described herein, embody the principles of the application and are thus within its spirit and scope.

Claims

1. A method for quantifying oblique cracks on railway rail surfaces, characterized in that, include: Obtain calibration lines pre-prepared on the rail surface containing multiple sets of artificially created damage at preset depths; Based on the scanning results of the calibration line by the magnetic flux leakage detection device under preset detection conditions, the magnetic flux leakage signal amplitude of artificial damage at different preset depths is obtained, and a first relationship curve between the depth of artificial damage and the amplitude of magnetic flux leakage signal is generated by fitting. By performing stepped grinding on the natural oblique cracks on the rail surface, the remaining depth after each grinding is obtained; the leakage magnetic field detection device is used to obtain the leakage magnetic field signal amplitude corresponding to different remaining depths, and a second relationship curve between the natural damage depth and the leakage magnetic field signal amplitude is generated by fitting. The depth values ​​of artificial damage and natural damage are matched by the first relationship curve and the second relationship curve under the same leakage magnetic signal amplitude to establish a mapping relationship between the depth of artificial damage and the depth of natural damage. The amplitude of the leakage magnetic field signal of the oblique crack under test is detected, and a quantized depth value corresponding to the amplitude of the leakage magnetic field signal is output based on the mapping relationship.

2. The method as described in claim 1, characterized in that, Based on the scanning results of the calibration line by the magnetic flux leakage detection equipment under preset detection conditions, the amplitude of the magnetic flux leakage signal for artificial damage at different preset depths is obtained, including: The calibration line is repeatedly scanned multiple times at different moving speeds; Extract the maximum amplitude of the leakage magnetic field signal after each scan; Calculate the average signal amplitude from multiple scans of the same artificial injury; Based on the preset depth of each artificial injury and the corresponding average signal amplitude, the first relationship curve is generated through curve fitting.

3. The method as described in claim 1, characterized in that, By performing stepped grinding on the natural oblique cracks on the rail surface, the remaining depth after each grinding step was measured, including: Each step of the polishing process removes a preset thickness until the natural damage marks disappear. Obtain the remaining depth after each polishing.

4. The method as described in claim 1, characterized in that, The magnetic flux leakage detection device acquires the amplitude of the magnetic flux leakage signal corresponding to different remaining measurement depths, and fits and generates a second relationship curve between the natural damage depth and the amplitude of the magnetic flux leakage signal, including: After each polishing, the magnetic flux leakage detection device is used to perform multiple scans under the same detection conditions to extract the maximum amplitude of the magnetic flux leakage signal. Calculate the average signal amplitude from multiple scans at the same remaining depth; The second relationship curve is generated by curve fitting based on each remaining depth and the corresponding average signal amplitude.

5. The method as described in claim 1, characterized in that, By matching the depth values ​​of the first and second relationship curves under the same leakage magnetic signal amplitude, a mapping relationship between the depth of artificial injury and the depth of natural injury is established, including: Select multiple signal amplitude points on the first relationship curve; Find the corresponding amplitude point on the second relationship curve that is the same as the signal amplitude point; Record the correspondence between artificial injury depth values ​​and natural injury depth values ​​under the same signal amplitude; Based on the aforementioned correspondence, a mapping dataset between artificial injury depth and natural injury depth is established.

6. The method as described in claim 1, characterized in that, The amplitude of the magnetic flux leakage signal of the oblique crack under test is detected, and a quantized depth value corresponding to the amplitude of the magnetic flux leakage signal is output based on the mapping relationship, including: The magnetic flux leakage detection device is used to scan the oblique crack under test and obtain its magnetic flux leakage signal amplitude. In the mapping relationship, match the artificial injury depth value that has the same amplitude as the acquired signal; Based on the correspondence between artificial injury depth values ​​and natural injury depths in the mapping relationship, the corresponding natural injury depth value is output as a quantitative evaluation result.

7. A device for quantifying oblique cracks on railway track surfaces, characterized in that, include: The calibration line acquisition module is used to acquire calibration lines pre-prepared on the rail surface, containing multiple sets of artificial damage at preset depths. The first relationship curve establishment module is used to obtain the amplitude of the magnetic flux leakage signal of artificial damage at different preset depths based on the scanning results of the calibration line by the magnetic flux leakage detection device under preset detection conditions, and to fit and generate the first relationship curve between the depth of artificial damage and the amplitude of the magnetic flux leakage signal. The second relationship curve establishment module is used to obtain the measured remaining depth after each grinding by performing stepped grinding on the natural oblique crack of the rail surface; and to obtain the leakage magnetic signal amplitude corresponding to different measured remaining depths by the leakage magnetic detection device, and to fit and generate a second relationship curve between the natural damage depth and the leakage magnetic signal amplitude. The mapping relationship establishment module is used to match the depth values ​​of the first relationship curve and the second relationship curve under the same leakage magnetic signal amplitude to establish a mapping relationship between the depth of artificial damage and the depth of natural damage. The quantization depth output module is used to detect the amplitude of the leakage magnetic signal of the oblique crack under test, and outputs the quantization depth value corresponding to the amplitude of the leakage magnetic signal based on the mapping relationship.

8. The apparatus as claimed in claim 7, characterized in that, The first relationship curve establishment module is specifically used for: The calibration line is repeatedly scanned multiple times at different moving speeds; Extract the maximum amplitude of the leakage magnetic field signal after each scan; Calculate the average signal amplitude from multiple scans of the same artificial injury; Based on the preset depth of each artificial injury and the corresponding average signal amplitude, the first relationship curve is generated through curve fitting.

9. 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, it implements the method of any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method of any one of claims 1 to 6.

11. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the method of any one of claims 1 to 6.

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