A method and device for determining wheel out-of-roundness

Abstract

This specification proposes a method and device for determining wheel out-of-round. The method includes: obtaining speed level data and wheel characteristic data of the target EMU; calculating multiple amplitudes of the wheel according to the wheel characteristic data; taking the maximum value of the multiple amplitudes as the target amplitude; and determining the target order according to the target amplitude; obtaining the classification result corresponding to the target EMU according to the speed level data and the target order; obtaining the corresponding radial runout parameter and amplitude threshold according to the classification result; wherein the radial runout parameter includes at least one of the following: radial runout threshold, radial runout preset interval; detecting whether the target EMU has wheel out-of-round according to the radial runout parameter, amplitude threshold, target amplitude, and wheel characteristic data. Based on the above method, the influence of order and speed can be comprehensively considered to more accurately identify wheel out-of-round, thereby formulating reasonable maintenance measures to ensure the safe operation of the EMU.

Description

Technical Field

[0001] The present invention relates to the field of railway operation technology, and more particularly to a method and device for determining wheel out-of-roundness. Background Art

[0002] Distributed damage to EMU wheels (including wheel polygons, partial out-of-round, etc.) is called wheel out-of-round. Wheel out-of-round will generate high-frequency impact force during the operation of the EMU, accelerate the loosening of axle box bearings, bogie components and track structures, cause fatigue damage to the EMU and tracks, and affect the reliability of on-board electrical components, ultimately threatening the operation safety of the EMU.

[0003] In the prior art, the roughness amplitude detection method is usually used to detect whether the first type of EMU has wheel out-of-round, and the radial runout detection method is used to detect whether the second type of EMU has wheel out-of-round; the first type of EMU refers to the EMU with a target wheel order of 15 or above, and the second type of EMU refers to the EMU with a target wheel order of 14 or below. This detection method considers relatively simple factors and sets a relatively simple threshold, and cannot accurately identify wheel out-of-round.

[0004] Currently, no effective solution has been proposed for the above technical problems. Summary of the invention

[0005] This specification provides a method and device for determining whether a wheel is out of round, which can accurately detect whether the wheel is out of round.

[0006] The purpose of the embodiments of this specification is to provide a method for determining wheel out-of-roundness, comprising:

[0007] Obtaining speed level data and wheel characteristic data of the target EMU;

[0008] Calculating a plurality of amplitudes of the wheel according to the wheel characteristic data;

[0009] The maximum value among the multiple amplitudes is taken as the target amplitude; and the target order is determined according to the target amplitude;

[0010] According to the speed level data and the target order, a classification result corresponding to the target EMU is obtained;

[0011] According to the classification result, the corresponding radial runout parameter and amplitude threshold are obtained; wherein the radial runout parameter includes at least one of the following: radial runout threshold, radial runout preset interval;

[0012] According to the radial runout parameter, the amplitude threshold, the target amplitude and the wheel characteristic data, it is detected whether the target EMU has wheel out-of-roundness.

[0013] Furthermore, in another embodiment of the method, the wheel characteristic data includes: radial runout of the wheel, wheel order, and wheel roughness corresponding to the wheel order.

[0014] Furthermore, in another embodiment of the method, calculating a plurality of amplitudes of the wheel according to the wheel characteristic data comprises:

[0015] Calculate the amplitude of the wheel corresponding to the wheel order according to the following formula:

[0016]

[0017] Among them, L r_i represents the amplitude corresponding to the i-th order, i represents the wheel order, r RMS_i represents the root mean square value of wheel roughness corresponding to the i-th order, r 0 Indicates the reference roughness.

[0018] Furthermore, in another embodiment of the method, before obtaining the classification result corresponding to the target EMU according to the speed level data and the target order, the method further includes:

[0019] Determine a preset interval; wherein the preset interval includes a first preset interval, a second preset interval, and a third preset interval; the preset intervals correspond to the wheel damage categories one by one.

[0020] Furthermore, in another embodiment of the method, obtaining a classification result corresponding to the target EMU according to the speed level data and the target order includes:

[0021] The preset interval corresponding to the target order is used as the target preset interval;

[0022] The wheel damage category corresponding to the target preset interval is used as the first classification result corresponding to the target EMU;

[0023] According to the speed level data, the second classification result corresponding to the target EMU is determined.

[0024] Furthermore, in another embodiment of the method, determining the second classification result corresponding to the target EMU according to the speed level data includes:

[0025] When the speed level data belongs to the first level, it is determined that the target EMU belongs to a high-speed EMU.

[0026] Furthermore, in another embodiment of the method, determining the second classification result corresponding to the target EMU according to the speed level data further includes:

[0027] When the speed level data belongs to the second level, it is determined that the target EMU belongs to a medium-low speed EMU.

[0028] Further, in another embodiment of the method, detecting whether the target EMU has wheel out-of-roundness according to the radial runout parameter, the amplitude threshold, the target amplitude, and the wheel characteristic data includes:

[0029] Detecting whether the radial runout of the wheel is greater than or equal to a radial runout threshold, or whether the radial runout of the wheel is within a preset radial runout range;

[0030] When it is determined that the radial runout of the wheel is greater than or equal to the radial runout threshold, or the radial runout of the wheel is within a preset radial runout interval, detecting whether the target amplitude is greater than or equal to the amplitude threshold;

[0031] When it is determined that the target amplitude is greater than or equal to the amplitude threshold, it is determined that the target EMU has wheel out-of-roundness.

[0032] On the other hand, the embodiments of this specification also provide a device for determining whether a wheel is out of round, including:

[0033] An acquisition module, used to acquire speed level data and wheel characteristic data of a target EMU;

[0034] A calculation module, used for calculating a plurality of amplitudes of the wheel according to the wheel characteristic data;

[0035] A first determination module is used to take the maximum value among the multiple amplitudes as the target amplitude; and determine the target order according to the target amplitude;

[0036] A classification module, used for obtaining a classification result corresponding to the target EMU according to the speed level data and the target order;

[0037] A second determination module is used to obtain a corresponding radial runout parameter and an amplitude threshold according to the classification result; wherein the radial runout parameter includes at least one of the following: a radial runout threshold and a radial runout preset interval;

[0038] The detection module is used to detect whether the target EMU has wheel out-of-roundness according to the radial runout parameter, the amplitude threshold, the target amplitude, and the wheel characteristic data.

[0039] On another aspect, an embodiment of the present specification further provides a computer-readable storage medium having computer instructions stored thereon, and the computer-readable storage medium implements the above-mentioned method for determining wheel out-of-roundness when executing the instructions.

[0040] A method for determining wheel out-of-roundness provided in an embodiment of the present specification comprises obtaining speed level data and wheel characteristic data of a target EMU; calculating multiple amplitudes of the wheel based on the wheel characteristic data; taking the maximum value of the multiple amplitudes as the target amplitude; and determining a target order based on the target amplitude; obtaining a classification result corresponding to the target EMU based on the speed level data and the target order; obtaining a corresponding radial runout parameter and amplitude threshold based on the classification result; wherein the radial runout parameter comprises at least one of the following: a radial runout threshold and a radial runout preset interval; detecting whether the target EMU has wheel out-of-roundness based on the radial runout parameter, the amplitude threshold, the target amplitude and the wheel characteristic data.

[0041] Moreover, when the classification result corresponding to the target EMU is obtained according to the speed level data and the target order, the preset interval corresponding to the target order is used as the target preset interval; the wheel damage category corresponding to the target preset interval is used as the first classification result corresponding to the target EMU; and the second classification result corresponding to the target EMU is determined according to the speed level data.

[0042] Further, when detecting whether the target EMU has wheel out-of-roundness based on the radial runout parameter, the amplitude threshold, the target amplitude, and the wheel characteristic data, it is detected whether the radial runout of the wheel is greater than or equal to the radial runout threshold, or whether the radial runout of the wheel is within a preset radial runout interval; when it is determined that the radial runout of the wheel is greater than or equal to the radial runout threshold, or the radial runout of the wheel is within the preset radial runout interval, it is detected whether the target amplitude is greater than or equal to the amplitude threshold; when it is determined that the target amplitude is greater than or equal to the amplitude threshold, it is determined that the target EMU has wheel out-of-roundness. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of this specification, the drawings required for use in the embodiments will be briefly introduced below. The drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 It is a flowchart of an embodiment of a method for determining wheel out-of-roundness provided in this specification;

[0045] Figure 2 It is a schematic diagram of the module structure of an embodiment of a device for determining wheel out-of-roundness provided in this specification;

[0046] Figure 3 This is a schematic diagram of the structure of a server provided in this manual;

[0047] Figure 4 It is a schematic diagram of the amplitude results corresponding to each order of wheels measured before turning and repair in a specific scenario example of this specification. DETAILED DESCRIPTION

[0048] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments in this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0049] Distributed damage to EMU wheels (including wheel polygons, partial out-of-round, etc.) is called wheel out-of-round. Wheel out-of-round will generate high-frequency impact force during the operation of the EMU, accelerate the loosening of axle box bearings, bogie components and track structures, cause fatigue damage to the EMU and tracks, and affect the reliability of on-board electrical components, ultimately threatening the operation safety of the EMU.

[0050] Considering that in the prior art, the roughness amplitude detection means are usually used to detect whether the first type of EMU has wheel out-of-round, and the radial runout detection means are used to detect whether the second type of EMU has wheel out-of-round; the first type of EMU refers to the EMU with a target wheel order of 15 or above, and the second type of EMU refers to the EMU with a target wheel order of 14 or below. This detection method considers relatively simple factors and sets a relatively simple threshold, and cannot accurately identify wheel out-of-round.

[0051] Furthermore, considering that EMUs running at different speeds have different wheel out-of-round characteristics, using speed as a factor in wheel out-of-round detection can improve the accuracy of detection.

[0052] In view of the above-mentioned problems existing in the existing methods and the specific reasons for the above-mentioned problems, the present application introduces a method for determining wheel out-of-round based on vehicle speed and amplitude to accurately detect wheel out-of-round.

[0053] Based on the above ideas, this specification proposes a method for determining wheel out-of-round. First, obtain the speed level data and wheel characteristic data of the target EMU; calculate multiple amplitudes of the wheel according to the wheel characteristic data; take the maximum value of the multiple amplitudes as the target amplitude; and determine the target order according to the target amplitude; then, obtain the classification result corresponding to the target EMU according to the speed level data and the target order; obtain the corresponding radial runout parameter and amplitude threshold according to the classification result; wherein the radial runout parameter includes at least one of the following: radial runout threshold, radial runout preset interval; finally, detect whether the target EMU has wheel out-of-round according to the radial runout parameter, the amplitude threshold, the target amplitude, and the wheel characteristic data.

[0054] See also Figure 1 As shown, the embodiment of this specification provides a method for determining whether a wheel is out of round. When implemented specifically, the method may include the following contents.

[0055] S101: Obtain speed level data and wheel characteristic data of the target EMU.

[0056] In some embodiments, the speed of the EMU can be divided into four speed levels: 200km / h, 250km / h, 300km / h, 350km / h; the speed level data includes a first level and a second level.

[0057] In some embodiments, the speed level of the target EMU must first be obtained. If the speed level is 350km / h, then the corresponding speed level data is the first level; if the speed level is 200km / h or 250km / h or 300km / h, then the corresponding speed level data is the second level.

[0058] In some embodiments, a wheel to be detected is determined from all wheels of the target EMU as the target wheel; then the wheel characteristic data of the target wheel is determined; wherein the wheel characteristic data includes: radial runout of the wheel, wheel order, and wheel roughness corresponding to the wheel order.

[0059] In some embodiments, the wheel order is usually a positive integer in the interval [1,40], so there are a total of 40 wheel orders. After determining the wheel order, the wheel roughness corresponding to each wheel order can be obtained based on the wheel roughness handheld instrument, and accordingly, 40 wheel roughnesses can be obtained.

[0060] In some embodiments, the radial runout of the wheel may be obtained by measuring the wheel under the wheel housing.

[0061] S102: Calculate multiple amplitudes of the wheel according to the wheel characteristic data.

[0062] In some embodiments, calculating multiple amplitudes of the wheel according to the wheel characteristic data may include:

[0063] S1: Calculate the root mean square value of wheel roughness according to the wheel roughness corresponding to the wheel order;

[0064] S2: According to the root mean square value of wheel roughness, calculate the amplitude of the wheel corresponding to the wheel order according to the following formula:

[0065]

[0066] Among them, L r_i represents the amplitude corresponding to the i-th order, i represents the wheel order, r RMS_i represents the root mean square value of wheel roughness corresponding to the i-th order, r 0 Indicates the reference roughness.

[0067] The amplitudes of 40 wheels corresponding to 40 wheel orders can be calculated by the above formula.

[0068] S103: taking the maximum value among the multiple amplitudes as the target amplitude; and determining the target order according to the target amplitude.

[0069] In some embodiments, the maximum value among the multiple amplitudes is taken as the target amplitude; and the wheel order corresponding to the target amplitude is taken as the target order.

[0070] Through the above embodiments, in the wheel out-of-round detection process for the first type of EMU (i.e., EMUs with target wheel orders of 15 or above) and the second type of EMU (i.e., EMUs with target wheel orders of 14 or below), the amplitude factor is taken into account, so the wheel out-of-round can be detected more accurately, and the actual fault type and damage degree of the wheel can be fully described.

[0071] S104: Obtain a classification result corresponding to the target EMU according to the speed level data and the target order.

[0072] In some embodiments, the classification result includes a first classification result and a second classification result; wherein the first classification result is determined according to the target order, and the second classification result is determined according to the speed level data.

[0073] In some embodiments, before obtaining the classification result corresponding to the target EMU based on the speed level data and the target order, the method also includes: determining a preset interval; wherein the preset interval includes a first preset interval, a second preset interval, and a third preset interval; the preset intervals correspond to the wheel damage categories one by one.

[0074] In some embodiments, the first preset interval can be set to [1, 2], and the wheel damage category corresponding to the first preset interval is local out-of-round damage; the second preset interval can be set to [3, 13], and the wheel damage category corresponding to the second preset interval is low-order polygonal damage; the third preset interval can be set to [14, 40], and the wheel damage category corresponding to the third preset interval is high-order polygonal damage. It should be noted that the above method of setting the preset interval is only an exemplary description. In specific implementation, different preset intervals can be obtained according to different wheel orders. For example, when the wheel order range is [1, 50], the corresponding third preset interval can be adjusted to [14, 50]. This specification does not limit this.

[0075] In some embodiments, according to the speed level data and the target order, a classification result corresponding to the target EMU is obtained, which may include:

[0076] S1: taking the preset interval corresponding to the target order as the target preset interval;

[0077] S2: taking the wheel damage category corresponding to the target preset interval as the first classification result corresponding to the target EMU;

[0078] S3: Determine the second classification result corresponding to the target EMU according to the speed level data.

[0079] In some embodiments, the second classification result corresponding to the target EMU is determined based on the speed level data, which may specifically include: when the speed level data belongs to the first level, determining that the target EMU belongs to a high-speed train set; when the speed level data belongs to the second level, determining that the target EMU belongs to a medium- and low-speed train set.

[0080] In some embodiments, the wheel out-of-round characteristics (radial runout, amplitude) generated by EMUs running at different speed levels are different, so the second classification result can be obtained by dividing the EMUs according to the speed level data; based on different second classification results, more accurate radial runout parameters and amplitude thresholds can be further determined to improve the accuracy of wheel out-of-round detection.

[0081] In a specific scenario example, the target order of the target EMU is equal to 14, and the target order 14 belongs to the third preset interval, so the first classification result of the target EMU is high-order polygonal damage; the speed level of the target EMU is 350km / h, corresponding to the first level, so the second classification result of the target EMU is high-speed EMU.

[0082] S105: Obtain corresponding radial runout parameters and amplitude thresholds according to the classification results; wherein the radial runout parameters include at least one of the following: radial runout thresholds, radial runout preset intervals.

[0083] In some embodiments, according to the first classification result and the second classification result, corresponding radial runout quantity parameters and amplitude thresholds can be obtained. The specific corresponding relationship can be referred to in Table 1, where n represents the target order. For high-order polygon damage, the applicability of the radial runout quantity parameter is poor. Therefore, the radial runout quantity threshold corresponding to high-order polygon damage is set to 0, and at this time, only the amplitude is used for detection.

[0084] Table 1

[0085]

[0086] S106: Detect whether there is wheel out-of-roundness in the target EMU according to the radial runout quantity parameter, the amplitude threshold, the target amplitude, and the wheel characteristic data.

[0087] In some embodiments, to detect whether there is wheel out-of-roundness in the target EMU according to the radial runout quantity parameter, the amplitude threshold, the target amplitude, and the wheel characteristic data, specifically in implementation, it may include:

[0088] S1: Detect whether the radial runout quantity of the wheel is greater than or equal to the radial runout quantity threshold, or whether the radial runout quantity of the wheel is within the preset radial runout quantity interval;

[0089] S2: When it is determined that the radial runout quantity of the wheel is greater than or equal to the radial runout quantity threshold, or the radial runout quantity of the wheel is within the preset radial runout quantity interval, detect whether the target amplitude is greater than or equal to the amplitude threshold;

[0090] S3: When it is determined that the target amplitude is greater than or equal to the amplitude threshold, determine that there is wheel out-of-roundness in the target EMU.

[0091] In a specific scenario example, the target order of the target EMU is equal to 13, the radial runout quantity of the wheel is equal to 0.19 mm, the target amplitude is equal to 24 dB / 1μm, the first classification result is low-order polygon damage, and the second classification result is high-speed train set. At this time, its corresponding preset radial runout quantity interval is [0.15, 0.2), and the amplitude threshold corresponding to this preset radial runout quantity interval is equal to 23 dB / 1μm; its corresponding radial runout quantity threshold is 0.2 mm, and the amplitude threshold corresponding to this threshold is equal to 20.25 dB / 1μm. The radial runout quantity of the wheel of this target EMU is within the preset radial runout quantity interval [0.15, 0.2), and the target amplitude is greater than 23 dB / 1μm. Therefore, there is wheel out-of-roundness in this target EMU.

[0092] In another specific scenario example, the target order of the target EMU is equal to 13, the radial runout of the wheel is equal to 0.25mm, the target amplitude is equal to 21dB / 1μm, the first classification result is low-order polygonal damage, and the second classification result is a high-speed train. At this time, the corresponding radial runout preset interval is [0.15,0.2), and the amplitude threshold corresponding to the radial runout preset interval is equal to 23dB / 1μm; the corresponding radial runout threshold is 0.2mm, and the amplitude threshold corresponding to this threshold is equal to 20.25dB / 1μm. The radial runout of the wheels of the target EMU is greater than the radial runout threshold of 0.2mm, and the target amplitude is greater than 20.25dB / 1μm, so the target EMU has wheel out-of-roundness.

[0093] Through the above-mentioned embodiments, different radial runout parameters and amplitude thresholds are comprehensively determined according to speed and order, so that it is possible to more accurately detect whether EMUs with different speed levels and different orders have wheel out-of-roundness.

[0094] In a specific scenario example, taking the 2nd wheel of car 01 of the CR400BF-5208 EMU as an example, the wheel generated TPDS (dynamic monitoring equipment for diagnosing EMU wheel out-of-roundness based on wheel-rail force measurement technology) tread damage alarm information for many consecutive times in August 2021. Table 2 shows the measurement results of the wheel before the wheel was turned and repaired on the wheelbed on August 23. Referring to Table 2, it can be seen that the maximum amplitude of the high-order polygon of the wheel is only 4.45dB, and the corresponding order is 15. According to the standards in the prior art, the amplitude of the wheel is less than the amplitude threshold in the prior art, and therefore meets the use requirements. However, the TPDS alarm information is stable and continuous, proving that there is a problem with the wheel. The amplitude results corresponding to each order of the wheel are expanded, and the results are as follows. Figure 4 As shown, from the unfolded lathe data, it can be found that: in the low-order range of 3-13, there is a large amplitude - this is the source of the large high-frequency wheel-rail impact response. Therefore, according to the method for determining wheel out-of-roundness provided in this specification, the amplitude parameter can more effectively describe the wheel damage type and damage degree for the first preset interval [1, 2] and the second preset interval [3, 13].

[0095] Table 2

[0096]

[0097] Based on the above-mentioned method for determining wheel out-of-round, this specification also proposes an embodiment of a device for determining wheel out-of-round, see Figure 2 As shown, the device for determining whether the wheel is out of round specifically includes the following modules:

[0098] An acquisition module 201 is used to acquire speed level data and wheel characteristic data of a target EMU;

[0099] A calculation module 202, configured to calculate a plurality of amplitudes of the wheel according to the wheel characteristic data;

[0100] A first determination module 203 is used to take the maximum value among the multiple amplitudes as the target amplitude; and determine the target order according to the target amplitude;

[0101] A classification module 204, configured to obtain a classification result corresponding to a target EMU according to the speed level data and the target order;

[0102] The second determination module 205 is used to obtain the corresponding radial runout parameter and amplitude threshold according to the classification result; wherein the radial runout parameter includes at least one of the following: radial runout threshold, radial runout preset interval;

[0103] The detection module 206 is used to detect whether the target EMU has wheel out-of-roundness according to the radial runout parameter, the amplitude threshold, the target amplitude, and the wheel characteristic data.

[0104] In some embodiments, the calculation module 202 may be used to calculate the amplitude of the wheel corresponding to the wheel order according to the following formula:

[0105]

[0106] Among them, L r_i represents the amplitude corresponding to the i-th order, i represents the wheel order, r RMS_i represents the root mean square value of wheel roughness corresponding to the i-th order, r 0 Indicates the reference roughness.

[0107] In some embodiments, the above-mentioned classification module 204 can be specifically used to take the preset interval corresponding to the target order as the target preset interval; take the wheel damage category corresponding to the target preset interval as the first classification result corresponding to the target EMU; and determine the second classification result corresponding to the target EMU based on the speed level data.

[0108] In some embodiments, the above-mentioned detection module 206 can be specifically used to detect whether the radial runout of the wheel is greater than or equal to the radial runout threshold, or whether the radial runout of the wheel is within a preset range of radial runout; when it is determined that the radial runout of the wheel is greater than or equal to the radial runout threshold, or the radial runout of the wheel is within the preset range of radial runout, detect whether the target amplitude is greater than or equal to the amplitude threshold; when it is determined that the target amplitude is greater than or equal to the amplitude threshold, determine that the target EMU has out-of-round wheels.

[0109] It should be noted that the units, devices or modules described in the above embodiments can be implemented by computer chips or entities, or by products with certain functions. For the convenience of description, the above devices are described separately by functions divided into various modules. Of course, when implementing this specification, the functions of each module can be implemented in the same or more software and / or hardware, or the modules that implement the same function can be implemented by a combination of multiple sub-modules or sub-units. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0110] The embodiments of the present specification also provide a computer storage medium for a method for determining wheel out-of-round, wherein the computer storage medium stores computer program instructions, which, when executed, implement the following: obtaining speed level data and wheel characteristic data of a target EMU; calculating multiple amplitudes of the wheel based on the wheel characteristic data; taking the maximum value of the multiple amplitudes as the target amplitude; and determining a target order based on the target amplitude; obtaining a classification result corresponding to the target EMU based on the speed level data and the target order; obtaining a corresponding radial runout parameter and amplitude threshold based on the classification result; wherein the radial runout parameter includes at least one of the following: a radial runout threshold, a radial runout preset interval; detecting whether the target EMU has wheel out-of-round based on the radial runout parameter, the amplitude threshold, the target amplitude, and the wheel characteristic data.

[0111] In this embodiment, the storage medium includes, but is not limited to, a random access memory (RAM), a read-only memory (ROM), a cache, a hard disk (HDD), or a memory card. The memory may be used to store computer program instructions. The network communication unit may be an interface for network connection communication set in accordance with the standard specified by the communication protocol.

[0112] In this embodiment, the functions and effects specifically implemented by the program instructions stored in the computer storage medium can be explained in comparison with other implementations and will not be described in detail here.

[0113] The present specification also provides a server, including a processor and a memory for storing processor executable instructions. When the processor is implemented, it can perform the following steps according to the instructions: obtain speed level data and wheel characteristic data of the target EMU; calculate multiple amplitudes of the wheel according to the wheel characteristic data; take the maximum value of the multiple amplitudes as the target amplitude; and determine the target order according to the target amplitude; obtain a classification result corresponding to the target EMU according to the speed level data and the target order; obtain a corresponding radial runout parameter and amplitude threshold according to the classification result; wherein the radial runout parameter includes at least one of the following: a radial runout threshold, a radial runout preset interval; detect whether the target EMU has wheel out-of-round according to the radial runout parameter, the amplitude threshold, the target amplitude, and the wheel characteristic data.

[0114] In order to complete the above instructions more accurately, refer to Figure 3 As shown, the embodiment of this specification also provides another specific server, wherein the server includes a network communication port 301, a processor 302 and a memory 303, and the above structures are connected through internal cables so that each structure can perform specific data interaction.

[0115] The network communication port 301 can be used to obtain the speed level data and wheel characteristic data of the target EMU.

[0116] The processor 302 can be specifically used to calculate multiple amplitudes of the wheel based on the wheel characteristic data; take the maximum value of the multiple amplitudes as the target amplitude; and determine the target order based on the target amplitude; obtain a classification result corresponding to the target EMU based on the speed level data and the target order; obtain a corresponding radial runout parameter and amplitude threshold based on the classification result; wherein the radial runout parameter includes at least one of the following: a radial runout threshold, a radial runout preset interval; based on the radial runout parameter, the amplitude threshold, the target amplitude, and the wheel characteristic data, detect whether the target EMU has wheel out-of-roundness.

[0117] The memory 303 may be specifically used to store corresponding instruction programs.

[0118] In this embodiment, the network communication port 301 can be a virtual port that is bound to different communication protocols so that different data can be sent or received. For example, the network communication port can be a port responsible for web data communication, a port responsible for FTP data communication, or a port responsible for email data communication. In addition, the network communication port can also be a physical communication interface or communication chip. For example, it can be a wireless mobile network communication chip, such as GSM, CDMA, etc.; it can also be a Wifi chip; it can also be a Bluetooth chip.

[0119] In this embodiment, the processor 302 may be implemented in any appropriate manner. For example, the processor may take the form of a microprocessor or processor and a computer-readable medium storing a computer-readable program code (such as software or firmware) executable by the (micro)processor, a logic gate, a switch, an application specific integrated circuit (ASIC), a programmable logic controller, and an embedded microcontroller, etc. This specification does not limit this.

[0120] In this embodiment, the memory 303 may include multiple levels. In a digital system, anything that can store binary data can be a memory; in an integrated circuit, a circuit with a storage function but no physical form is also called a memory, such as RAM, FIFO, etc.; in a system, a storage device with a physical form is also called a memory, such as a memory stick, TF card, etc.

[0121] Although the present specification provides method operation steps as described in the embodiments or flow charts, more or less operation steps may be included based on conventional or non-creative means. The order of steps listed in the embodiments is only one way of executing the order of many steps, and does not represent a unique execution order. When the device or client product in practice is executed, it can be executed in sequence or in parallel according to the method shown in the embodiments or the drawings (for example, a parallel processor or a multi-threaded processing environment, or even a distributed data processing environment). The term "include", "include" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, product or device including a series of elements includes not only those elements, but also includes other elements that are not explicitly listed, or also includes elements inherent to such a process, method, product or device. In the absence of more restrictions, it is not excluded that there are other identical or equivalent elements in the process, method, product or device including the elements. The first, second, etc. words are used to represent the name, and do not represent any particular order.

[0122] Those skilled in the art also know that, in addition to implementing the controller in a purely computer-readable program code, the controller can be made to implement the same function in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, such a controller can be considered as a hardware component, and the devices for implementing various functions included therein can also be considered as structures within the hardware component. Or even, the devices for implementing various functions can be considered as both software modules for implementing the method and structures within the hardware component.

[0123] This specification may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, classes, etc. that perform specific tasks or implement specific abstract data types. This specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules may be located in local and remote computer storage media including storage devices.

[0124] Through the description of the above embodiments, it can be known that those skilled in the art can clearly understand that the present specification can be implemented by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present specification can essentially be embodied in the form of a software product, which can be stored in a storage medium such as ROM / RAM, a disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a mobile terminal, a server, or a network device, etc.) to execute the methods described in each embodiment of the present specification or some parts of the embodiments.

[0125] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. This specification can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld devices or portable devices, tablet devices, multi-processor systems, microprocessor-based systems, set-top boxes, programmable electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc.

[0126] Although the present specification is described through embodiments, those skilled in the art will appreciate that there are many modifications and changes to the present specification without departing from the spirit of the present specification, and it is intended that the appended claims include these modifications and changes without departing from the spirit of the present specification.

Claims

1. A method for determining wheel out-of-roundness, It is characterized in that include: Obtaining speed level data and wheel characteristic data of the target EMU; Calculating a plurality of amplitudes of the wheel according to the wheel characteristic data; The maximum value among the multiple amplitudes is taken as the target amplitude; and determining the target order according to the target amplitude; According to the speed level data and the target order, a classification result corresponding to the target EMU is obtained; According to the classification result, the corresponding radial runout parameter and amplitude threshold are obtained; wherein the radial runout parameter includes at least one of the following: radial runout threshold, radial runout preset interval; According to the radial runout parameter, the amplitude threshold, the target amplitude, and the wheel characteristic data, detecting whether the target EMU has wheel out-of-roundness; including: detecting whether the radial runout of the wheel is greater than or equal to the radial runout threshold, or whether the radial runout of the wheel is within a preset radial runout interval; in the case where it is determined that the radial runout of the wheel is greater than or equal to the radial runout threshold, or the radial runout of the wheel is within the preset radial runout interval, detecting whether the target amplitude is greater than or equal to the amplitude threshold; in the case where it is determined that the target amplitude is greater than or equal to the amplitude threshold, determining that the target EMU has wheel out-of-roundness; The step of calculating a plurality of wheel amplitudes according to the wheel characteristic data comprises: Calculate the amplitude of the wheel corresponding to the wheel order according to the following formula: Among them, L r_i represents the amplitude corresponding to the i-th order, where i represents the wheel order, and r RMS_i represents the root mean square value of the wheel roughness corresponding to the i-th order, and r 0 represents the reference roughness.

2. The method according to claim 1, It is characterized in that The wheel characteristic data include: radial runout of the wheel, wheel order, and wheel roughness corresponding to the wheel order.

3. The method according to claim 1, It is characterized in that Before obtaining a classification result corresponding to the target EMU according to the speed level data and the target order, the method further includes: Determine a preset interval; wherein the preset interval includes a first preset interval, a second preset interval, and a third preset interval; the preset intervals correspond to the wheel damage categories one by one.

4. The method according to claim 3, It is characterized in that According to the speed level data and the target order, a classification result corresponding to the target EMU is obtained, including: The preset interval corresponding to the target order is used as the target preset interval; The wheel damage category corresponding to the target preset interval is used as the first classification result corresponding to the target EMU; According to the speed level data, the second classification result corresponding to the target EMU is determined.

5. The method according to claim 4, It is characterized in that According to the speed level data, the second classification result corresponding to the target EMU is determined, including: When the speed level data belongs to the first level, it is determined that the target EMU belongs to a high-speed EMU.

6. The method according to claim 4, It is characterized in that Determining the second classification result corresponding to the target EMU according to the speed level data also includes: When the speed level data belongs to the second level, it is determined that the target EMU belongs to a medium-low speed EMU.

7. A device for determining wheel out-of-roundness, It is characterized in that include: An acquisition module, used to acquire speed level data and wheel characteristic data of a target EMU; A calculation module, used for calculating a plurality of amplitudes of the wheel according to the wheel characteristic data; A first determination module, configured to take the maximum value among the multiple amplitudes as the target amplitude; and determining the target order according to the target amplitude; A classification module, used for obtaining a classification result corresponding to the target EMU according to the speed level data and the target order; A second determination module is used to obtain a corresponding radial runout parameter and an amplitude threshold according to the classification result; wherein the radial runout parameter includes at least one of the following: a radial runout threshold and a radial runout preset interval; A detection module is used to detect whether the target EMU has wheel out-of-round according to the radial runout parameter, the amplitude threshold, the target amplitude, and the wheel characteristic data; the detection module is specifically used to: detect whether the radial runout of the wheel is greater than or equal to the radial runout threshold, or whether the radial runout of the wheel is within a preset radial runout interval; if it is determined that the radial runout of the wheel is greater than or equal to the radial runout threshold, or the radial runout of the wheel is within the preset radial runout interval, detect whether the target amplitude is greater than or equal to the amplitude threshold; if it is determined that the target amplitude is greater than or equal to the amplitude threshold, determine that the target EMU has wheel out-of-round; The calculation module specifically calculates the amplitude of the wheel corresponding to the wheel order according to the following formula: Among them, L r_i represents the amplitude corresponding to the i-th order, i represents the wheel order, r RMS_i represents the root mean square value of wheel roughness corresponding to the i-th order, r 0 Indicates the reference roughness.

8. A computer-readable storage medium, It is characterized in that Computer instructions are stored thereon, and when the instructions are executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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