Automatic detection device and method for steel rail welding seam polishing

Abstract

The invention relates to the technical field of irregular surface metering, in particular to an automatic detection device and method for steel rail welding seam grinding, and the method comprises the steps that the initial grinding force of a to-be-ground area of a steel rail is determined; determining a polishing demand factor based on the steel rail part to which the to-be-polished area belongs; determining a real-time polishing coefficient of the to-be-polished area by utilizing the initial polishing force and the polishing demand factor; and target polishing parameters of the to-be-polished area are determined through the real-time polishing coefficient. The precision of steel rail grinding is improved, and the quality of a welding seam and the long-term stability of a rail are improved.

Description

Technical Field

[0001] The invention relates to the technical field of irregular surface measurement, and in particular to an automatic detection device and method for rail weld grinding. Background Art

[0002] Rail weld inspection is a critical part of railway transportation. Ensuring weld quality is essential for railway safety and long-term operation. The weld grinding process is a key link in ensuring welding quality and rail performance. Multiple parameters need to be precisely controlled during the grinding process to ensure the flatness, smoothness and integrity of the weld surface. Sensors and control systems are usually used to monitor and adjust in real time to ensure the quality of the weld surface and the overall welding effect.

[0003] At present, rail welds are generally automatically ground by rail grinding vehicles. Since the rail is divided into multiple parts that need to be ground (rail waist and rail bottom), the rail grinding vehicle needs to grind different grinding parts in stages. However, fixed grinding parameters are currently used for different grinding parts. The structures and functions of different grinding parts and the surfaces of different grinding areas of the same grinding part are generally different. Fixed grinding parameters will lead to poor grinding effects, affecting the quality of the welds and the long-term stability of the rails. Summary of the invention

[0004] In order to solve the technical problem that the current grinding scheme for rail welds has poor grinding effect, affecting the quality of welds and the long-term stability of rails, the purpose of the present invention is to provide an automatic detection device and method for rail weld grinding. The technical scheme adopted is as follows: The present invention provides an automated detection method for rail weld grinding, the method comprising: Determine the initial grinding intensity of the area to be ground of the rail; Determine the grinding requirement factor based on the rail portion to which the area to be ground belongs; Determine the real-time grinding coefficient of the area to be polished using the initial grinding force and the grinding demand factor; Determine the target grinding parameters of the area to be polished using the real-time polishing coefficient; The grinding requirement factor represents the degree of demand for grinding intensity at different rail locations; and the target grinding parameter is used to regulate the grinding intensity of the area to be ground.

[0005] Further, determining the initial grinding intensity of the to-be-grinded area of ​​the rail includes: Obtain real-time roughness and weld width data of the area to be ground of the rail; Use real-time roughness and weld width data to determine initial grinding intensity for the area to be ground.

[0006] Furthermore, obtaining the real-time roughness of the area to be polished of the rail includes: Acquiring surface height data of the area to be ground of the rail; Using surface height data, determine the real-time roughness of the area to be polished.

[0007] Furthermore, the surface height data is used to determine the real-time roughness of the area to be polished, including: Determine the maximum height value, the minimum height value and the height values ​​of any two points on the surface of the area to be polished; Using a first height difference between a maximum height value and a minimum height value, and a second height difference between height values ​​of any two points; The real-time roughness of the area to be polished is calculated using the first height difference and the second height difference.

[0008] Further, the grinding requirement factor based on the rail part to which the area to be ground belongs is determined, including: Obtaining the wear area and overall area of ​​the target rail portion of the used rail; Obtain the curvature radius and maximum deviation of the target rail portion corresponding to the standard structure; The grinding requirement factor of the rail part corresponding to the area to be ground is calculated using the wear area, the overall area, the curvature radius and the maximum deviation.

[0009] Furthermore, the real-time grinding coefficient of the area to be polished is determined using the initial grinding force and the grinding demand factor, including: Determine the initial grinding force difference between adjacent to-be-grinded areas of the target rail portion; Using the initial grinding force difference and the grinding demand factor, determine the real-time grinding coefficient of the next area to be polished; The adjacent areas to be polished include a preceding area to be polished and a succeeding area to be polished.

[0010] Further, the target grinding parameters include: target grinding pressure; using the real-time grinding coefficient to determine the target grinding parameters of the area to be polished, including: Determine the target grinding pressure of the next area to be polished by using the real-time grinding coefficient of the next area to be polished and the grinding pressure of the previous area to be polished; Among them, the target grinding pressure is positively correlated with the absolute value of the real-time grinding coefficient.

[0011] Furthermore, the target grinding parameters include: target grinding wheel speed; using the real-time grinding coefficient to determine the target grinding parameters of the area to be polished, including: Determine the target grinding wheel speed of the next area to be polished by using the real-time grinding coefficient of the next area to be polished and the grinding wheel speed of the previous area to be polished; Among them, the target grinding wheel speed is negatively correlated with the real-time grinding coefficient.

[0012] Furthermore, the area to be polished includes the rail waist area and the rail bottom area and the transition area therebetween; the real-time polishing coefficient of the area to be polished is determined using the initial polishing force and the polishing demand factor, including: The grinding requirement factor corresponding to the rail waist area or rail bottom area closest to the initial grinding intensity of the transition area is used as the grinding requirement factor of the transition area; The real-time grinding coefficient of the transition area is determined by using the grinding demand factor of the transition area and its initial grinding intensity.

[0013] The present invention also provides an automated detection device for rail weld grinding, the device is used to implement the automated detection method for rail weld grinding as described in any one of the above items; the device comprises: The data acquisition module is used to determine the initial grinding intensity of the area to be ground of the rail; determine the grinding demand factor based on the rail part to which the area to be ground belongs; The polishing control module is used to determine the real-time polishing coefficient of the area to be polished by using the initial polishing force and the polishing demand factor; and determine the target polishing parameters of the area to be polished by using the real-time polishing coefficient.

[0014] The present invention has the following beneficial effects: The present invention optimizes and solves the problem of poor grinding effect when grinding with fixed grinding parameters due to differences in structure and function of different grinding positions of rails, and calculates the required initial grinding force by analyzing the surface roughness of the weld area to be ground and the weld width. Then, based on the different grinding demand factors of different parts of the rail and the initial grinding force of the corresponding grinding area, the real-time grinding coefficient of the part and area is determined, and the grinding parameters of the corresponding part and area are determined according to the real-time grinding coefficient. Then, the grinding parameters are used to dynamically control the grinding force of the area to be ground, thereby improving the accuracy of rail grinding, the quality of the weld and the long-term stability of the track. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 A flowchart of the steps of an automated detection method for rail weld grinding provided by one embodiment of the present invention; Figure 2A detailed flow chart of step S1 in an automated detection method for rail weld grinding provided by one embodiment of the present invention; Figure 3 A detailed flow chart of step S2 in an automated detection method for rail weld grinding provided by one embodiment of the present invention; Figure 4 A detailed flow chart of step S3 in an automated detection method for rail weld grinding provided by one embodiment of the present invention; Figure 5 It is a schematic diagram of the structure of the hardware operating environment of the automatic detection equipment for rail weld grinding involved in the embodiment of the present invention; Figure 6 This is a schematic diagram of the framework structure of an automated detection device for rail weld grinding according to an embodiment of the present invention; Figure 7 It is a schematic diagram of the structure of the existing rail parts involved in the embodiment of the present invention; The numbers in the figure are: rail head 1, rail waist 2 and rail bottom 3. DETAILED DESCRIPTION

[0017] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the specific implementation method, structure, features and effects of an automatic detection method for rail weld grinding proposed by the present invention in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0018] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0019] The welding process of rails usually requires connecting two sections of rails together at high temperatures. During the welding process, excessive welding slag and irregular surfaces will be generated in the weld area, so the weld usually needs to be polished and inspected after welding. Currently, rail grinding vehicles are generally used to grind different parts of the rails.

[0020] When grinding the weld, the focus needs to be on grinding the irregular surfaces of the rail waist, rail bottom and rail head (the rail head can also be called the rail bottom, which is a more detailed name here. The rail bottom mentioned in the embodiments below can also cover the rail head), while the general rail grinding vehicle can only grind different grinding parts in stages. After the general grinding vehicle enters the track, it first grinds the rail waist part of the rail. At this time, the angle and pressure of the grinding wheel are adjusted to adapt to the width and shape of the rail waist and start grinding. After completing the grinding of the rail waist, the grinding vehicle will adjust the position and angle of the grinding wheel and start grinding the rail bottom part.

[0021] However, the above-mentioned grinding equipment cannot grind the rail waist and rail bottom at the same time. Therefore, each embodiment can design a modular grinding wheel, and set two different sets of grinding wheels for the rail waist and rail bottom on the rail grinding vehicle, so as to realize the three modes of grinding the rail waist part alone, grinding the rail bottom part alone, and grinding the rail waist and rail bottom at the same time, which can be conveniently switched according to needs. At the same time, due to the differences in the structure and function of the rail waist and the rail bottom, fixed grinding parameters cannot achieve the best grinding effect. Therefore, this solution can adaptively determine the corresponding grinding parameters for different rail grinding modes. Of course, it can also be applied to traditional grinding equipment such as rail grinding vehicles.

[0022] The specific scheme of an automated detection method for rail weld grinding provided by the present invention is described in detail below in conjunction with the accompanying drawings.

[0023] Embodiment 1: For the automatic detection method for rail weld grinding provided by the present invention, please refer to Figure 1 , which shows a flowchart of the steps of an automated detection method for rail weld grinding provided by an embodiment of the present invention.

[0024] The method comprises: Step S1, determining the initial grinding intensity of the area to be ground of the rail; Based on the roughness and roughness area of ​​the weld area of ​​the rail to be ground, the required initial grinding force can be determined.

[0025] For details, please refer to Figure 2 , the step S1 comprises: Step S11, obtaining real-time roughness and weld width data of the area to be ground of the rail; Specifically, the corresponding laser sensor (or scanner) on the grinding arm of the grinding vehicle can be used to obtain data reflecting the roughness (real-time roughness) and weld width data of the area to be ground during grinding. The sampling interval can be set flexibly but it is necessary to ensure that the collected data corresponds to all the areas to be ground.

[0026] The surface of the rail weld will produce too much welding slag and irregular surfaces due to the welding process, and these rough surfaces will affect the real-time adjustment of the grinding parameters. Therefore, in order to determine the real-time grinding parameters for the area to be ground, this step needs to obtain the roughness and weld width data of the weld area to be ground.

[0027] Specifically, the step S11 includes: Acquiring surface height data of the area to be ground of the rail; Using surface height data, determine the real-time roughness of the area to be polished.

[0028] More specifically, the surface height data is used to determine the real-time roughness of the area to be polished, including: Determine the maximum height value, the minimum height value and the height values ​​of any two points on the surface of the area to be polished; Using a first height difference between a maximum height value and a minimum height value, and a second height difference between height values ​​of any two points; The real-time roughness of the area to be polished is calculated using the first height difference and the second height difference.

[0029] Due to the irregular surface of the rail weld, a fixed grinding force and the specific grinding parameters corresponding to the grinding force may not achieve the best grinding effect. Here, we can first analyze the actual surface height data and weld width data of the area to be ground, and then calculate the corresponding actual required initial grinding force.

[0030] For surface height data, during the grinding process, the grinding arm drives the grinding wheel to gradually grind the area to be polished. First, before grinding, all height distance data of the area to be polished can be obtained through the laser sensor. If the difference in all height distance data of a certain area to be polished is small, it means that this area is relatively flat and the grinding force is smaller. It can also be combined with the overall width of the weld contained in this area. The wider the weld, the greater the grinding force required.

[0031] The real-time roughness of the surface of any area to be polished can be expressed as: ; In the formula For any area to be polished Real-time roughness. and are any projection points in this area. and The height value of the two is the second height difference. and are the maximum and minimum height values ​​of this area respectively. Represents the degree of height dispersion in this area. The greater the degree of dispersion, the more uneven the corresponding height values ​​are, indicating that the roughness is greater. At the same time, combined with the height range of this area (the first height difference) [max(h)-min(h)] The larger the range, the greater the height difference of the overall area, the greater the roughness, and the greater the grinding intensity required.

[0032] Step S12, using the real-time roughness and weld width data, determine the initial grinding intensity of the area to be ground.

[0033] At the same time, the weld width of the area to be polished represents the welding area. The larger the weld width, the greater the polishing force required to ensure the surface flatness. Then the initial polishing force required for a certain area to be polished can be expressed as: ; In the formula Represents an area to be polished Initial grinding intensity. For the area to be polished The real-time roughness of For an area to be polished The average width of the weld, therefore The larger the size, the greater the grinding force required for this area.

[0034] Step S2, determining a grinding requirement factor based on the rail portion to which the area to be ground belongs; The grinding requirement factor represents the degree of grinding intensity required for different rail parts; rail parts can refer to Figure 7 As shown, it includes a rail head 1, a rail waist 2 and a rail bottom 3. For the convenience of description, the rail bottom may also include the rail head. The rail bottom is used to refer to the rail head 1 and the rail bottom 3 here below.

[0035] For details, please refer to Figure 3 , the step S2 comprises: Step S21, obtaining the wear area and the overall area of ​​the target rail portion of the used rail; Step S22, obtaining the curvature radius and maximum deviation of the standard structure corresponding to the target rail part; Step S23, using the wear area and the overall area as well as the radius of curvature and the maximum deviation, calculate the grinding requirement factor of the rail portion corresponding to the area to be ground.

[0036] Since the required initial grinding force of different areas determines the size of its grinding parameters, the corresponding grinding force is needed when adjusting the grinding parameters in real time. However, due to the differences in the structure and function of the waist and bottom of the rail, if the grinding parameters are determined based on the real-time initial grinding force, the waist and bottom of the rail are ground simultaneously or separately, the purpose of targeted grinding of the rail parts cannot be achieved. Because different parts of the rail have their own structural and functional characteristics, it is necessary to analyze the demand factors of the waist and bottom of the rail for the grinding parameters, and then adjust the grinding parameters adaptively in combination with the initial grinding force.

[0037] The different rail parts here have their own structural and functional characteristics, specifically: The rail waist is the vertical part of the rail that connects the rail head and the rail bottom. Its main function is to withstand the longitudinal and lateral forces when the train passes. The rail waist has high requirements for wear resistance and structural strength, especially in curved areas. The rail waist may be severely worn due to lateral forces, and the corresponding welds need to be polished more vigorously.

[0038] The rail bottom is the bottom part of the rail, which is usually in contact with the sleeper. The wear on the rail bottom mainly comes from the friction between the sleeper and the ballast, which is relatively small and requires less grinding force.

[0039] Based on the above factors, it can be considered that the more severely worn the part is and the greater the curvature of the surface, the greater the grinding force required for the corresponding weld to ensure its structural stability. Therefore, different grinding demand factors can be set for the rail waist and rail bottom according to the wear of different parts of the rail and the structural curvature.

[0040] Here, a laser scanner (sensor) is used to obtain the wear area of ​​the rail waist and rail bottom of a certain section of used rail, as well as the curvature radius and maximum deviation of the corresponding surface. Then, for a certain part of the rail, there are: ; In the formula Represents the grinding requirement factor of any part of the rail (which can be called the target rail part). is the wear area of ​​the target rail part, is the overall area of ​​the target rail part, is the maximum deviation between the target rail part and the corresponding standard structure, is the curvature radius of the standard structure of the target rail part. The larger the wear area of ​​the corresponding rail part, the greater the grinding intensity required in the weld area and the greater the grinding demand factor. Represents the curvature of the corresponding rail part. If the maximum deviation of the surface structure of this part is larger and the curvature radius is smaller, the curvature is larger, and the weld area needs to be polished more. Normalized to the range [0,1].

[0041] So far, different grinding requirement factors are calculated for the rail waist and rail bottom areas through the above process. and Then, the real-time initial grinding force changes of the to-be-grinded areas of different rail parts are calculated and the grinding parameters are adjusted in real time in combination with the grinding demand factors.

[0042] Step S3, determining a real-time polishing coefficient of the area to be polished using the initial polishing force and the polishing demand factor; For details, please refer to Figure 4 , the step S3 comprises: Step S31, determining the initial grinding force difference between adjacent to-be-grinded areas of the target rail portion; Step S32, using the initial grinding force difference and the grinding demand factor, determining the real-time grinding coefficient of the next area to be polished; The adjacent areas to be polished include a preceding area to be polished and a succeeding area to be polished.

[0043] For a certain part of the rail, in order to adjust the grinding parameters according to the real-time grinding force, the change of grinding force in different areas to be ground is calculated here: ; In the formula For the previous polishing area Next area to be polished The initial grinding force difference. and Areas to be polished and If the grinding intensity of the next area to be polished is greater than that of the previous area to be polished, it means that the next area to be polished is relatively rougher, and the grinding parameters need to be adjusted accordingly, or the relevant grinding parameters need to be increased or decreased accordingly.

[0044] For example, for the rail waist, since it is subject to greater wear and structural bending, the corresponding grinding requirement factor is greater than that of the rail bottom. Therefore, when grinding the rail waist, it is necessary to use the corresponding grinding requirement factor of the rail waist. Determine the real-time grinding factor as follows: ; In the formula The waist part of the rail The real-time grinding coefficient of the area to be polished. The area to be polished before the rail waist Next area to be polished The initial grinding strength is poor. It is the grinding requirement factor of the rail waist.

[0045] The grinding demand factor is used to specifically distinguish the grinding coefficients of the rail waist and rail bottom. Therefore, the above formula uses the grinding demand factor corresponding to the rail waist as the weight to weight the real-time initial grinding force difference to determine the grinding coefficient of the real-time grinding area of ​​the rail waist.

[0046] At the same time, the above process can also be used to grind the rail bottom with the help of the demand factor Calculate the grinding coefficient of the area to be polished in real time , and normalize each real-time polishing coefficient result to the range of (-1,1).

[0047] Step S4, determining the target grinding parameters of the area to be polished using the real-time grinding coefficient; The target grinding parameter is used to adjust the grinding intensity of the area to be ground.

[0048] In one embodiment, the target grinding parameters include: target grinding pressure; the step S4 includes: Determine the target grinding pressure of the next area to be polished by using the real-time grinding coefficient of the next area to be polished and the grinding pressure of the previous area to be polished; Among them, the target grinding pressure is positively correlated with the absolute value of the real-time grinding coefficient.

[0049] The grinding parameters are determined based on the real-time grinding coefficient of the rail waist and rail bottom. The main grinding parameters of rail welds are grinding pressure and grinding wheel speed. Generally, the greater the grinding pressure and the slower the grinding wheel speed, the greater the final grinding force. At the same time, the size of the grinding coefficient measures the degree of change in the grinding force of the area to be ground. Therefore, the grinding pressure and grinding wheel speed can be determined in real time for different parts of the rail based on the real-time grinding coefficient.

[0050] The following takes the rail waist as an example, and the same applies to the rail bottom.

[0051] For the rail waist, if the grinding coefficient of a certain area to be ground is positive and the larger it is, it means that this area needs a greater grinding force than the previous area to be ground, and the grinding pressure should be increased and the grinding wheel speed should be reduced. On the contrary, if the grinding coefficient is negative and the smaller it is, it means that this area needs a smaller grinding force than the previous area to be ground, and the grinding pressure should be reduced and the grinding wheel speed should be increased.

[0052] Therefore, the real-time target grinding pressure adjustment method for the rail waist is as follows: ; In the formula The first The target grinding pressure for the area to be ground. The first Grinding pressure of the area to be polished, The waist part of the rail The real-time grinding coefficient of the area to be ground is calculated. At the rail waist, the grinding pressure is adjusted in real time using the grinding coefficient as the weight value through the correlation (positive correlation) between the grinding coefficient and the grinding pressure.

[0053] In another embodiment, the target grinding parameters include: target grinding wheel speed; the step S4 includes: Determine the target grinding wheel speed of the next area to be polished by using the real-time grinding coefficient of the next area to be polished and the grinding wheel speed of the previous area to be polished; Among them, the target grinding wheel speed is negatively correlated with the real-time grinding coefficient.

[0054] Similarly, the real-time grinding wheel speed adjustment method for the rail waist is as follows: ; In the formula The waist part of the rail Target grinding wheel speed for each area to be ground. The waist part of the rail Grinding wheel speed for each area to be ground, The waist part of the rail Since the grinding wheel speed has an opposite correlation with the grinding force relative to the grinding pressure, the weighted method of adjusting the grinding coefficient can realize the adaptive adjustment of the grinding wheel speed at the rail waist.

[0055] In the same way, the real-time target grinding pressure can be calculated for the rail bottom. and target grinding wheel speed , thereby improving the grinding effect of different parts of the rail.

[0056] In addition, in one embodiment, the area to be polished includes the rail waist area and the rail bottom area and the transition area therebetween; the step S3 further includes: The grinding requirement factor corresponding to the rail waist area or rail bottom area closest to the initial grinding intensity of the transition area is used as the grinding requirement factor of the transition area; The real-time grinding coefficient of the transition area is determined by using the grinding demand factor of the transition area and its initial grinding intensity.

[0057] The grinding equipment mentioned above can realize three grinding modes: grinding the rail waist alone, grinding the rail bottom alone, and grinding the rail waist and rail bottom at the same time. And due to the modular design, different grinding modes can be switched freely according to actual conditions. However, there may be a transition area of ​​uncertain area in the weld between the rail waist and the rail bottom. Due to the modular design, there may be errors in the positioning of the grinding path, resulting in the situation that the grinding wheel cannot grind the rail waist and the rail bottom in this transition area.

[0058] Therefore, in the mode of grinding the rail waist and rail bottom at the same time, the difference in weld distance between the end position of the rail waist grinding and the start position of the rail bottom grinding is calculated. If there is a distance difference, there is a transition area. For this transition area, this solution uses the rail waist grinding wheel to continue testing and grinding. Calculate the initial grinding force required for the transition area, and compare the difference between the initial grinding force of the transition area and the initial grinding force of the upper and lower adjacent rail waist and rail bottom areas, as shown below: ; In the formula Represents the initial grinding force difference value in the transition area. The initial grinding strength of the transition area, is the initial grinding intensity of the rail waist area adjacent to the transition area, is the initial grinding intensity of the rail bottom area adjacent to the transition area. If it is greater than 1, it means that the initial grinding intensity of the transition area is closer to that of the lower adjacent rail bottom area. In this case, the corresponding grinding parameters can be calculated using the grinding requirement factor of the rail bottom for grinding. If it is less than 1, it means that the initial grinding strength of the transition area is closer to that of the upper adjacent rail waist area. Then the grinding requirement factor of the rail waist can be used to calculate the corresponding grinding parameters for grinding. This will improve the grinding effect and ensure the stability of the rail weld.

[0059] In addition, it should be noted that the above method can be used to perform targeted grinding on different parts of the rail by switching different grinding modes and using corresponding grinding parameters. The rail grinding vehicle can also be set with self-propelled function and electric clamping and fixing function, and can realize remote control walking and clamping and fixing after being placed on the rail.

[0060] In the rail waist grinding mode, only the rail waist grinding wheel and the corresponding grinding requirement parameters are used, and real-time adaptive grinding is performed. The same is true for the rail bottom grinding mode. In the rail waist and rail bottom grinding mode, the two grinding modules work at the same time, and the grinding parameters are used accordingly. After grinding, it has a self-check function to ensure that the surface grinding effect meets the construction requirements, and compare the results. It can also generate records such as grinding depth for technical personnel to analyze and evaluate and project acceptance.

[0061] The present invention optimizes and solves the problem of poor grinding effect when grinding with fixed grinding parameters due to differences in structure and function of different grinding positions of rails, and calculates the required initial grinding force by analyzing the surface roughness of the weld area to be ground and the weld width. Then, based on the different grinding demand factors of different parts of the rail and the initial grinding force of the corresponding grinding area, the real-time grinding coefficient of the part and area is determined, and the grinding parameters of the corresponding part and area are determined according to the real-time grinding coefficient. Then, the grinding parameters are used to dynamically control the grinding force of the area to be ground, thereby improving the accuracy of rail grinding, the quality of the weld and the long-term stability of the track.

[0062] Embodiment 2: The embodiment of the present invention also provides an automatic detection device for rail weld grinding. The automatic detection device for rail weld grinding can be a grinding device such as a rail grinding vehicle.

[0063] like Figure 5 As shown, Figure 5 It is a structural schematic diagram of the hardware operating environment of the automated detection equipment for rail weld grinding involved in the embodiment of the present invention.

[0064] like Figure 5 As shown, the automatic detection equipment for rail weld grinding may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, and a communication bus 1002. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display (Display), an input unit such as a control panel, and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WIFI interface). The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001. The memory 1005 as a computer storage medium may include an automatic detection program for rail weld grinding.

[0065] Those skilled in the art will understand that Figure 5 The hardware structure shown in the figure does not constitute a limitation of the device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0066] Continue to refer to Figure 5 , Figure 5The memory 1005 as a computer-readable storage medium may include an operating system, a user interface module, a network communication module, and an automated detection program for rail weld grinding.

[0067] exist Figure 5 In the embodiment, the network communication module is mainly used to connect to the server and can communicate data with the server; and the processor 1001 can call the automatic detection program for rail weld grinding stored in the memory 1005 and execute the steps in the above embodiments.

[0068] Based on the hardware structure of the above-mentioned automatic detection equipment for rail weld grinding, various embodiments of the automatic detection method for rail weld grinding of the present invention are implemented.

[0069] In addition, the present invention also provides an automatic detection device for rail weld grinding, please refer to Figure 6 , the automatic detection device for rail weld grinding comprises: The data acquisition module A10 is used to determine the initial grinding intensity of the area to be ground of the rail; determine the grinding requirement factor based on the rail part to which the area to be ground belongs; The polishing control module A20 is used to determine the real-time polishing coefficient of the area to be polished by using the initial polishing force and the polishing demand factor; and determine the target polishing parameters of the area to be polished by using the real-time polishing coefficient.

[0070] Furthermore, the data acquisition module A10 is also used for: Obtain real-time roughness and weld width data of the area to be ground of the rail; Use real-time roughness and weld width data to determine initial grinding intensity for the area to be ground.

[0071] Furthermore, the data acquisition module A10 is also used for: Acquiring surface height data of the area to be ground of the rail; Using surface height data, determine the real-time roughness of the area to be polished.

[0072] Furthermore, the data acquisition module A10 is also used for: Determine the maximum height value, the minimum height value and the height values ​​of any two points on the surface of the area to be polished; Using a first height difference between a maximum height value and a minimum height value, and a second height difference between height values ​​of any two points; The real-time roughness of the area to be polished is calculated using the first height difference and the second height difference.

[0073] Furthermore, the data acquisition module A10 is also used for: Obtaining the wear area and overall area of ​​the target rail portion of the used rail; Obtain the curvature radius and maximum deviation of the target rail portion corresponding to the standard structure; The grinding requirement factor of the rail part corresponding to the area to be ground is calculated using the wear area, the overall area, the curvature radius and the maximum deviation.

[0074] Furthermore, the polishing control module A20 is also used for: Determine the initial grinding force difference between adjacent to-be-grinded areas of the target rail portion; Using the initial grinding force difference and the grinding demand factor, determine the real-time grinding coefficient of the next area to be polished; The adjacent areas to be polished include a preceding area to be polished and a succeeding area to be polished.

[0075] Furthermore, the polishing control module A20 is also used for: Determine the target grinding pressure of the next area to be polished by using the real-time grinding coefficient of the next area to be polished and the grinding pressure of the previous area to be polished; Among them, the target grinding pressure is positively correlated with the absolute value of the real-time grinding coefficient.

[0076] Furthermore, the polishing control module A20 is also used for: Determine the target grinding wheel speed of the next area to be polished by using the real-time grinding coefficient of the next area to be polished and the grinding wheel speed of the previous area to be polished; Among them, the target grinding wheel speed is negatively correlated with the real-time grinding coefficient.

[0077] Furthermore, the polishing control module A20 is also used for: The grinding requirement factor corresponding to the rail waist area or rail bottom area closest to the initial grinding intensity of the transition area is used as the grinding requirement factor of the transition area; The real-time grinding coefficient of the transition area is determined by using the grinding demand factor of the transition area and its initial grinding intensity.

[0078] The specific implementation of the automatic detection device for rail weld grinding of the present invention is basically the same as the embodiments of the automatic detection method for rail weld grinding described above, and will not be described in detail here.

[0079] In addition, the present invention also provides a computer-readable storage medium. The computer-readable storage medium of the present invention stores an automated detection program for rail weld grinding, wherein when the automated detection program for rail weld grinding is executed by a processor, the steps of the automated detection method for rail weld grinding as described above are implemented.

[0080] Among them, the method implemented when the automatic detection program for rail weld grinding is executed can refer to the various embodiments of the automatic detection method for rail weld grinding of the present invention, and will not be repeated here.

[0081] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0082] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0083] It should be understood by those skilled in the art that embodiments of the present invention may be provided as methods, devices, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0084] The above description is only a preferred embodiment of the present invention, and does not limit the protection scope of the present invention. All equivalent structural / method transformations made by using the contents of the present invention specification and drawings under the inventive concept of the present invention, or direct / indirect application in other related technical fields are included in the protection scope of the present invention.

Claims

1. An automated detection method for rail weld grinding, characterized in that: The method comprises: Determine the initial grinding intensity of the area to be ground of the rail; Determine the grinding requirement factor based on the rail portion to which the area to be ground belongs; Determine the real-time grinding coefficient of the area to be polished using the initial grinding force and the grinding demand factor; Determine the target grinding parameters of the area to be polished using the real-time polishing coefficient; The grinding requirement factor represents the degree of demand for grinding intensity at different rail locations; and the target grinding parameter is used to regulate the grinding intensity of the area to be ground.

2. The automated detection method for rail weld grinding according to claim 1, characterized in that: Determine the initial grinding intensity of the rail area to be ground, including: Obtain real-time roughness and weld width data of the area to be ground of the rail; Use real-time roughness and weld width data to determine initial grinding intensity for the area to be ground.

3. The automated detection method for rail weld grinding according to claim 2, characterized in that: Obtain the real-time roughness of the rail area to be polished, including: Acquiring surface height data of the area to be ground of the rail; Using surface height data, determine the real-time roughness of the area to be polished.

4. The automated detection method for rail weld grinding according to claim 3, characterized in that: Using surface height data, determine the real-time roughness of the area to be polished, including: Determine the maximum height value, the minimum height value and the height values ​​of any two points on the surface of the area to be polished; Using a first height difference between a maximum height value and a minimum height value, and a second height difference between height values ​​of any two points; The real-time roughness of the area to be polished is calculated using the first height difference and the second height difference.

5. The automated detection method for rail weld grinding according to claim 1, characterized in that: Determine the grinding requirement factor based on the rail area to be ground, including: Obtaining the wear area and overall area of ​​the target rail portion of the used rail; Obtain the curvature radius and maximum deviation of the target rail portion corresponding to the standard structure; The grinding requirement factor of the rail part corresponding to the area to be ground is calculated using the wear area, the overall area, the curvature radius and the maximum deviation.

6. The automated detection method for rail weld grinding according to claim 1, characterized in that: The initial grinding force and grinding demand factor are used to determine the real-time grinding coefficient of the area to be polished, including: Determine the initial grinding force difference between adjacent to-be-grinded areas of the target rail portion; Using the initial grinding force difference and the grinding demand factor, determine the real-time grinding coefficient of the next area to be polished; The adjacent areas to be polished include a preceding area to be polished and a succeeding area to be polished.

7. The automated detection method for rail weld grinding according to claim 6, characterized in that: The target grinding parameters include: target grinding pressure; using the real-time grinding coefficient to determine the target grinding parameters of the area to be polished, including: Determine the target grinding pressure of the next area to be polished by using the real-time grinding coefficient of the next area to be polished and the grinding pressure of the previous area to be polished; Among them, the target grinding pressure is positively correlated with the absolute value of the real-time grinding coefficient.

8. The automated detection method for rail weld grinding according to claim 1, characterized in that: The target grinding parameters include: target grinding wheel speed; using the real-time grinding coefficient to determine the target grinding parameters of the area to be polished, including: Determine the target grinding wheel speed of the next area to be polished by using the real-time grinding coefficient of the next area to be polished and the grinding wheel speed of the previous area to be polished; Among them, the target grinding wheel speed is negatively correlated with the real-time grinding coefficient.

9. The automated detection method for rail weld grinding according to claim 1, characterized in that: The area to be polished includes the rail waist area, the rail bottom area and the transition area between the two. The real-time polishing coefficient of the area to be polished is determined by using the initial polishing force and the polishing demand factor, including: The grinding requirement factor corresponding to the rail waist area or rail bottom area closest to the initial grinding intensity of the transition area is used as the grinding requirement factor of the transition area; The real-time grinding coefficient of the transition area is determined by using the grinding demand factor of the transition area and its initial grinding intensity.

10. An automated detection device for rail weld grinding, characterized in that: The automated detection device comprises: The data acquisition module is used to determine the initial grinding intensity of the area to be ground of the rail; determine the grinding demand factor based on the rail part to which the area to be ground belongs; The polishing control module is used to determine the real-time polishing coefficient of the area to be polished by using the initial polishing force and the polishing demand factor; and determine the target polishing parameters of the area to be polished by using the real-time polishing coefficient.

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