A method for determining a repair cutting amount based on profile defect similarity
By establishing a similarity calculation model library for track profile defects and an intelligent decision table, the cutting amount for track profile defect repair is optimized, solving the problem of track repair relying on manual experience, and achieving extended track service life and reduced maintenance costs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- YUNNAN AGRICULTURAL UNIVERSITY
- Filing Date
- 2023-12-04
- Publication Date
- 2026-07-24
AI Technical Summary
In existing technologies, track profile defect repair relies on manual experience, which can lead to inadequate or excessive repair, affecting track service life and maintenance costs, and making it difficult to scientifically and rationally determine the amount of material to be cut for defect repair.
A similarity calculation model library for track profile defects is established. By comparing the similarity between actual track profile defects and typical track profile defects, and combining the weight coefficients in the intelligent decision table, the cutting amount for track profile defect repair is optimized, the parameters of the repair equipment are adjusted, and the repair process is optimized.
It improves the accuracy of track repair, extends the service life of the track, reduces maintenance costs, and inhibits the expansion of track profile defects.
Smart Images
Figure CN117670912B_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the field of rail transport maintenance technology, specifically a method for determining the amount of repair cutting based on the similarity of track profile defects. Background Technology
[0002] With the increase in railway freight volume and speed in China, the problem of defects caused by damage to railway track profiles has become increasingly prominent. Regarding the repair of track profile defects, the international railway industry's common practice is to use cutting methods such as grinding or milling to remove the defective parts of the track profile surface and restore the original standard shape of the track profile. This method has been used for decades and is widely recognized by the railway transportation and maintenance industry.
[0003] However, due to variations in track type, train speed, vehicle axle load, and track age, track profile defects are numerous and highly variable. Currently, relying solely on manual experience to repair track profile defects is limited by the skill level and experience of the personnel, frequently resulting in inadequate or excessive repairs. Inadequate track profile repair shortens maintenance cycles and increases costs; excessive repair shortens track profile lifespan, similarly increasing costs, and also hinders the improvement of repair accuracy. Therefore, scientifically and rationally developing a method for determining the amount of material removed during defect repair, and reducing over- or under-repair caused by relying entirely on manual decisions, is a crucial issue for ensuring safe track operation. Summary of the Invention
[0004] To address the aforementioned problems in existing technologies, this invention provides a method for determining repair cutting amounts based on the similarity of track profile defects. It establishes a database of track profile repair cutting amount calculation models for typical track profile defects, compares the similarity between actual track profile defects and typical track profile defects to calculate the repair benchmark cutting amount, optimizes the track profile defect repair cutting amount, thereby suppressing track profile defect expansion, extending the track profile defect repair cutting cycle, and improving the service life of the transport track.
[0005] To achieve the above objectives, this application adopts the following technical solution: a method for determining the repair cutting amount based on the similarity of track profile defects. Firstly, this application provides a method for determining the repair cutting amount based on the similarity of track profile defects, including: First, for the actual track profile with defects on site, obtain the actual track profile defects and the actual track profile on site. The actual track profile defects are the defects that are to be repaired in the actual track profile. Secondly, the baseline cutting amount for track profile repair is determined based on the actual track profile defects and the track profile repair cutting amount calculation model library. The track profile repair cutting amount calculation model library is established by selecting typical track profile defects and based on the track profile shape deviation test results and actual operation conditions. Typical track profile defects are divided into two categories: the first category is track profile wear defects, and the second category is track profile micro-cracks and patch defects.
[0006] The actual track profile defects and typical track profile defects are obtained under the same coordinate system with the same origin.
[0007] The process involves determining the baseline cutting amount for track profile repair based on actual track profile defects and a track profile repair cutting amount calculation model library. This includes comparing actual track profile defects with typical track profile defects to obtain the defect similarity of the actual track profile. For the defect categories included in the actual track profile defects, the track profile repair cutting amount calculation model corresponding to each defect category is selected from the track profile repair cutting amount calculation model library as the target calculation model based on the defect similarity. Specifically, when the actual track profile defects include only the first type of defects, the selected target calculation model is the calculation model corresponding to the typical track profile defect with the highest similarity value among the track profile repair cutting amount calculation models corresponding to the first type. When the actual track profile defects include only the second type of defects, the selected target calculation model is the calculation model corresponding to the typical track profile defect with the highest similarity value among the track profile repair cutting amount calculation models corresponding to the second type. When the actual track profile defects include both the first and second types of defects, two target calculation models are selected. The first calculation model is the calculation model corresponding to the typical track profile defect with the highest similarity value among the track profile repair cutting amount calculation models corresponding to the first type. The second calculation model is the calculation model corresponding to the typical track profile defect with the highest similarity value among the track profile repair cutting amount calculation models corresponding to the second type. The track profile repair reference cutting amount is the larger of the first reference cutting amount and the second reference cutting amount. The first reference cutting amount is calculated using the first calculation model, and the second reference cutting amount is calculated using the second calculation model. The track profile repair reference cutting amount corresponding to the actual track profile is calculated using the target calculation model.
[0008] Secondly, based on the actual track profile conditions on site, the intelligent decision table is used to calculate the track profile repair and correction cutting amount corresponding to the actual track profile. The intelligent decision table includes weighting coefficients determined based on human expert experience. The weighting coefficients are the coefficients corresponding to track type, train speed, vehicle axle load, track service life, and the degree of previous occurrence of track profile defects, respectively. Finally, the actual track profile repair cutting amount is determined based on the track profile repair reference cutting amount and the track profile repair correction cutting amount.
[0009] Secondly, this application provides a method for determining the repair cutting amount based on the similarity of track profile defects. After determining the track profile repair cutting amount corresponding to the actual track profile, the method further includes: First, adjust the operating parameters of the track profile defect repair equipment according to the actual track profile repair cutting amount, so that the track profile defect repair equipment can carry out repair operations on the actual track profile with defects on site. Secondly, regularly measure the wear rate of track profile defects after each repair operation of the track profile defect repair equipment at the same track location; Finally, if the wear rates of track profile defects are different after two repair operations, optimize the weight coefficients in the intelligent decision table.
[0010] Thirdly, this application also provides an electronic device, including: a processor and a memory; the memory is used to store executable instructions of the processor; the processor is used to read the executable instructions from the memory and execute the instructions to implement the methods provided in the embodiments of this application.
[0011] Based on the technical solution provided above, the following beneficial effects can be achieved: Based on the test results of track profile shape deviation and actual operation, a calculation model library for track profile repair cutting amount under typical track profile defects is established. The similarity between actual track profile defects and typical track profile defects is compared to calculate the benchmark cutting amount for repair. Based on the intelligent decision table for correction and repair cutting amount established by human expert-level experience, the cutting amount for track profile defect repair is further optimized, thereby inhibiting the expansion of track profile defects, extending the track profile defect repair cutting cycle, and improving the service life of the transport track.
[0012] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description
[0013] Figure 1 This is a flowchart illustrating the application process. Figure 2 A block diagram of an electronic device provided in an exemplary embodiment of this application.
[0014] In the diagram, 200 represents electronic equipment, 210 represents the processor, and 220 represents the memory. Detailed Implementation
[0015] Embodiments of this application will now be described in more detail with reference to the accompanying drawings. While embodiments of this application are shown in the drawings, it should be understood that this application may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to make this application more thorough and complete, and to fully convey the scope of this application to those skilled in the art.
[0016] It should be understood that although the terms "first," "second," "third," etc., may be used in this application to describe various information, this information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.
[0017] In the description of this application, it should be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application.
[0018] Unless otherwise expressly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.
[0019] Example 1: A method for determining repair cutting amount based on the similarity of track profile defects. Figure 1 This is a flowchart illustrating the method.
[0020] like Figure 1 As shown, the method for determining the repair cutting amount based on the similarity of the track profile defects in this embodiment includes: S101. For the actual track profile with defects on site, obtain the actual track profile defects and the actual track profile on site. The actual track profile defects are the defects that are to be repaired in the actual track profile.
[0021] S102. Based on the actual track profile defects and the track profile repair cutting amount calculation model library, determine the track profile repair reference cutting amount corresponding to the actual track profile, including: S1021. Based on the same coordinate system with the same origin, obtain the actual track profile defects and typical track profile defects, compare the actual track profile defects and typical track profile defects, and obtain the defect similarity of the actual track profile.
[0022] Typical track profile defects are divided into two categories: the first category is track profile wear defects, and the second category is track profile microcracks and patch defects. For the defect categories included in the actual track profile defects, the track profile repair cutting amount calculation model corresponding to each defect category is selected from the track profile repair cutting amount calculation model library as the target calculation model based on the defect similarity. The track profile repair cutting amount calculation model library is established by selecting typical track profile defects and based on the track profile shape deviation test results and actual operating conditions, including the maximum allowable axle load of the track to which the actual track profile belongs, the straight or curved radius and other actual operating conditions.
[0023] Optionally, in one embodiment of this example, When the actual track profile defects only include the first type of defects, the target calculation model selected is the calculation model corresponding to the typical track profile defect with the highest similarity value among the track profile repair cutting amount calculation models corresponding to the first type.
[0024] Optionally, in another embodiment of this example, When the actual track profile defects only include the second type of defects, the target calculation model selected is the calculation model corresponding to the typical track profile defect with the highest similarity value among the track profile repair cutting amount calculation models corresponding to the second type.
[0025] Optionally, in another embodiment of this example, When the actual track profile defects include both the first and second types of defects, two target calculation models are selected. The first calculation model is the calculation model corresponding to the typical track profile defect with the highest similarity value in the track profile repair cutting amount calculation model corresponding to the first type. The second calculation model is the calculation model corresponding to the typical track profile defect with the highest similarity value in the track profile repair cutting amount calculation model corresponding to the second type.
[0026] S1022. Use the target calculation model to calculate the cutting amount of the track profile repair reference corresponding to the actual track profile.
[0027] In another embodiment of step S1021, the reference cutting amount for track profile repair is the larger of the first reference cutting amount and the second reference cutting amount. The first reference cutting amount is calculated using the first calculation model, and the second reference cutting amount is calculated using the second calculation model.
[0028] S103. Based on the actual track profile conditions on site, use the intelligent decision table to calculate the track profile repair and correction cutting amount corresponding to the actual track profile.
[0029] The intelligent decision table includes weighting coefficients determined based on human expert experience. These weighting coefficients correspond to track type, train speed, vehicle axle load, track service life, and the past occurrence of track profile defects, respectively.
[0030] S104. Determine the actual track profile repair cutting amount based on the track profile repair reference cutting amount and the track profile repair correction cutting amount. The actual track profile repair cutting amount is the sum of the track profile repair reference cutting amount and the track profile repair correction cutting amount.
[0031] Example 2: This embodiment of a method for determining the repair cutting amount based on the similarity of track profile defects further includes, after determining the track profile repair cutting amount corresponding to the actual track profile: The operating parameters of the track profile defect repair equipment are adjusted according to the actual track profile cutting amount, so that the track profile defect repair equipment can carry out repair operations on the actual track profile with defects on site. Regularly measure the wear rate of track profile defects after each repair operation by the track profile defect repair equipment at the same track location. If the wear rate of track profile defects is different after two repair operations, optimize the weight coefficients in the intelligent decision table, specifically by optimizing the coefficients of human expert-level experience in the intelligent decision table.
[0032] Example 3: A smart decision-making method for determining repair cutting amount based on the similarity of track profile defects includes: Step 1: Select typical track profile defects, and establish a calculation model library for track profile repair cutting amount under typical track profile defects based on the test results of track profile shape deviation and the actual operating conditions such as the maximum allowable axle load, straight or curved radius of the track to which the actual track profile belongs.
[0033] Typical track profile defects are divided into two categories, and the specific selection method is as follows: The first type of track profile wear defect is selected based on the average wear length: (1) In equation (1), To repair the cutting amount, The reference cutting amount for repairing typical rail profile defects is 0.3-0.5 mm. The average length of wear due to defects in the rail profile; Category II: Microcracks and Patch Defects in the Track Profile (2) In equation (2), To repair the cutting amount, This represents the maximum depth of a typical track profile defect.
[0034] Step 2: Measure the actual track profile to be repaired with defects on site, and compare and analyze the similarity between the actual track profile defects and typical track profile defects. During the comparison and analysis, the actual track profile and the typical track profile should be placed in the same coordinate system. The coordinate origin of the two should be made the same point by coordinate translation, and then the similarity of the track profile defects should be compared.
[0035] Step 3: Based on the defect similarity, find the typical track profile defect that is closest to the actual track profile defect, read the corresponding repair cutting amount calculation model of the typical track profile defect from the repair cutting amount calculation model library, and calculate the track profile repair reference cutting amount.
[0036] When calculating the baseline cutting amount for track profile repair, the model with the highest defect similarity in the track profile repair cutting amount calculation model library is selected for calculation, and the difference is calculated and corrected by the intelligent decision table.
[0037] In one embodiment of this example, when two types of typical track profile defects coexist, the model with the highest defect similarity in the track profile repair cutting amount calculation model library is selected to calculate two track profile repair cutting amount calculation values, and the larger value is taken as the track profile repair reference cutting amount.
[0038] In one embodiment of this example, when the defect similarity is 100%, the baseline cutting amount for track profile repair is the actual repair cutting amount.
[0039] Step 4: Establish an intelligent decision table for correction and repair cutting quantities based on expert experience, and optimize the cutting quantities for track profile defect repair based on the intelligent decision table. Based on track type, train speed, vehicle axle load, track service life, and the severity of previous track profile defects, and considering the weight of different factors, establish coefficients in the intelligent decision table using expert experience; calculate the correction and repair cutting quantities for track profile repair based on the actual site conditions of the track profile. In this embodiment, the intelligent decision table for correcting and repairing cutting quantities in step 4 is shown below: In this embodiment, the calculation method for the cutting amount of track profile repair and correction based on the actual site conditions of the track profile is as follows: (3) In equation (3), Correct the cutting amount for track profile repair; The weighting factor for track type is typically 15%. This is the speed of passage, usually 15%; This is the vehicle axle load weighting factor, typically 20%. The weighting factor for the number of years of operation is typically 30%. The weighting of the degree of defect occurrence is typically 20%. The maximum corrected cutting amount weight is usually taken as 0.2mm.
[0040] Step 5: Find the corresponding defect profile, make intelligent decisions on the repair cutting amount based on the similarity of the profile defects, carry out the profile defect repair operation according to the intelligent decision results, and measure the wear rate after the profile repair periodically until the wear rate of the same profile defect is the same after two repairs. Otherwise, optimize the manual experience coefficient in the intelligent decision table.
[0041] Step 6: Record the cutting amount values for track profile defect repair at different locations on the track, which will be used as operating parameters for the track profile defect repair equipment.
[0042] Example 4: An electronic device, Figure 2 A block diagram of an electronic device provided as an exemplary embodiment of this application.
[0043] like Figure 2 As shown, the electronic device 200 includes one or more processors 210 and memory 220.
[0044] The processor 210 may be a central processing unit (CPU) or other form of processing unit with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.
[0045] The memory 220 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory. Non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 210 may execute the program instructions to implement the method for determining repair cutting amounts based on profile defect similarity and / or other desired functions of the software programs in the various embodiments of this application described above.
[0046] In one example, the electronic device may further include input and output devices, which are interconnected via a bus system and / or other forms of connection mechanisms (not shown). The input device may also include, for example, a keyboard, a mouse, etc. The output device can output various information to the outside. The output device may include, for example, a monitor, a speaker, a printer, and a communication network and its connected remote output devices, etc.
[0047] The accompanying drawings show only some of the components of the electronic device relevant to this application, omitting components such as buses and input / output interfaces. In addition, the electronic device may include any other suitable components depending on the specific application.
[0048] In addition to the methods and apparatus described above, embodiments of this application may also be computer program products and computer-readable storage media, which include computer program instructions that, when executed by a processor, cause the processor to perform the steps in the method for determining repair cutting amounts based on profile defect similarity according to various embodiments of this application as described in the "Exemplary Methods" section of this specification.
[0049] Computer program products can be written in any combination of one or more programming languages to perform the operations of the embodiments of this application. The programming languages include object-oriented programming languages such as Java and C++, as well as conventional procedural programming languages such as C or similar languages. The program code can be executed entirely on the user's computing device, partially on the user's computing device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.
[0050] Furthermore, embodiments of this application may also be computer-readable storage media storing computer program instructions that, when executed by a processor, cause the processor to perform the steps in the method for determining repair cutting amount based on profile defect similarity according to various embodiments of this application as described in the "Exemplary Methods" section above.
[0051] Computer-readable storage media may take the form of any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may, for example, include, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatuses, or devices, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: electrical connections having one or more wires, portable disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.
[0052] The basic principles of this application have been described above with reference to specific embodiments. However, it should be noted that the advantages, benefits, and effects mentioned in this application are merely examples and not limitations, and should not be considered as essential features of each embodiment of this application. Furthermore, the specific details disclosed above are for illustrative and facilitative purposes only, and are not limitations. These details do not limit the application to the necessity of employing the aforementioned specific details for implementation.
[0053] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For system embodiments, since they largely correspond to method embodiments, the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments.
[0054] The block diagrams of devices, apparatuses, devices, and systems involved in this application are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, apparatuses, devices, and systems can be connected, arranged, and configured in any manner. Words such as “comprising,” “including,” and “having” are open-ended terms meaning “including but not limited to” and are used interchangeably with them. The terms “or” and “and” as used herein refer to the terms “and / or” and are used interchangeably with them unless the context clearly indicates otherwise. The term “such as” as used herein refers to the phrase “such as but not limited to” and is used interchangeably with it.
[0055] The methods and apparatus of this application may be implemented in many ways. For example, they may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order of steps for the method is for illustrative purposes only, and the steps of the method of this application are not limited to the order specifically described above, unless otherwise specifically stated. Furthermore, in some embodiments, this application may also be implemented as a program recorded on a recording medium, the program including machine-readable instructions for implementing the method according to this application. Thus, this application also covers recording media storing programs for performing the method according to this application.
[0056] It should also be noted that in the apparatus, devices, and methods of this application, the components or steps can be disassembled and / or recombined. These disassemblies and / or recombinations should be considered equivalent solutions of this application. The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use this application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of this application. Therefore, this application is not intended to be limited to the aspects shown herein, but rather to be carried out within the widest scope consistent with the principles and novel features disclosed herein.
[0057] The above description has been given for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of this application to the forms disclosed herein. Although numerous exemplary aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations thereof.
Claims
1. A method for determining repair cutting amount based on the similarity of track profile defects, characterized in that, include: For the actual track profile with defects on site, obtain the actual track profile defects and the on-site conditions of the actual track profile, wherein the actual track profile defects are the defects that are to be repaired in the actual track profile; Based on the actual track profile defects and the track profile repair cutting amount calculation model library, the reference cutting amount for track profile repair corresponding to the actual track profile is determined, including: By comparing the actual track profile defects with typical track profile defects, the defect similarity of the actual track profile is obtained; For the defect categories included in the actual track profile defects, the track profile repair cutting amount calculation model corresponding to each defect category is selected from the track profile repair cutting amount calculation model library as the target calculation model based on the defect similarity. The target calculation model is used to calculate the track profile repair reference cutting amount corresponding to the actual track profile; The track profile repair cutting amount calculation model library is established by selecting typical track profile defects and based on the track profile shape deviation test results and actual operation conditions. The typical track profile defects are divided into two categories: the first category is track profile wear defects, and the second category is track profile microcracks and patch defects. Based on the actual track profile's on-site conditions, the intelligent decision table is used to calculate the track profile repair and correction cutting amount corresponding to the actual track profile. The intelligent decision table includes weighting coefficients determined based on human expert experience. The weighting coefficients are coefficients corresponding to track type, train speed, vehicle axle load, track service life, and the previous occurrence degree of track profile defects, respectively. The actual track profile repair cutting amount is determined based on the track profile repair reference cutting amount and the track profile repair correction cutting amount.
2. The method as described in claim 1, characterized in that, When the actual track profile defects only include the first type of defects, the selected target calculation model is: the calculation model corresponding to the typical track profile defect with the largest defect similarity value among the track profile repair cutting amount calculation models corresponding to the first type.
3. The method as described in claim 1, characterized in that, When the actual track profile defects only include the second type of defects, the selected target calculation model is: the calculation model corresponding to the typical track profile defect with the largest defect similarity value among the track profile repair cutting amount calculation models corresponding to the second type.
4. The method as described in claim 1, characterized in that, When the actual track profile defect includes both the first type and the second type of defect, two target calculation models are selected. The first calculation model is: the calculation model corresponding to the typical rail profile defect with the highest defect similarity value in the rail profile repair cutting amount calculation model corresponding to the first type; The second calculation model is the calculation model corresponding to the typical track profile defect with the highest defect similarity value in the track profile repair cutting amount calculation model corresponding to the second type.
5. The method as described in claim 4, characterized in that, The reference cutting amount for track profile repair is the larger of the first reference cutting amount and the second reference cutting amount. The first reference cutting amount is calculated using the first calculation model, and the second reference cutting amount is calculated using the second calculation model.
6. The method according to any one of claims 1-5, characterized in that, After determining the profile repair cutting amount corresponding to the actual profile, the method further includes: The operating parameters of the track profile defect repair equipment are adjusted according to the track profile repair cutting amount corresponding to the actual track profile, so that the track profile defect repair equipment can perform repair operations on the actual track profile with defects on site.
7. The method as described in claim 6, characterized in that, The method also includes periodically measuring the wear rate of the track profile defect repair equipment after each repair operation at the same track location; If the wear rates of track profile defects are different after two repair operations, optimize the weight coefficients in the intelligent decision table.
8. The method as described in claim 1, characterized in that, The actual track profile defects and the typical track profile defects are obtained in the same coordinate system with the same origin.
9. An electronic device, characterized in that, include: A processor and a memory, wherein the memory stores executable instructions; When the executable instructions are invoked by the processor, the processor is used to execute the method for determining the repair cutting amount based on the similarity of the profile defects as described in any one of claims 1-8.