CN115307939A - Method, device, equipment and storage medium for detecting wheel circumferential surface of rail vehicle - Google Patents
Method, device, equipment and storage medium for detecting wheel circumferential surface of rail vehicle Download PDFInfo
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Abstract
The invention discloses a method, a device and equipment for detecting the circumferential surface of a wheel of a railway vehicle and a computer readable storage medium, wherein the method comprises the steps of collecting the current fluctuation information of the undulation of the circumferential surface of the wheel which is not shielded; determining theoretical vibration data of the wheel according to the current fluctuation information and a pre-established correspondence model between the fluctuation information and the vibration data of the wheel; searching a group of historical vibration data sections with the highest similarity to theoretical vibration data in the historical vibration data, and taking the vibration data sections adjacent to the historical vibration data sections as estimated vibration data of the wheel; and determining the corresponding estimated fluctuation information according to the estimated vibration data, and determining the fluctuation information of the complete circumferential surface of the wheel by combining the current fluctuation information. According to the method and the device, only under the condition of collecting the current fluctuation information of the wheel part, the waveform information of the circumferential surface of the wheel which is not detected is determined, and the detection difficulty of the circumferential surface information of the wheel is reduced.
Description
Technical Field
The present invention relates to the field of rail vehicle computing, and in particular, to a method, an apparatus, a device, and a computer-readable storage medium for detecting a wheel circumferential surface of a rail vehicle.
Background
In the actual running process of the wheels of the railway vehicles, the wheels are worn along with the prolonging of the running time, so that the peripheral surfaces of the wheels are polygonal surfaces due to the uneven wear phenomenon. The polygonal surface of the wheel can generate abnormal high-frequency vibration between wheel rails, and the abnormal high-frequency vibration has important influence on the aspects of reliability, running safety and the like of parts of the railway vehicle. Therefore, in the operation and maintenance of the vehicle, the regular measurement of the polygonal loss of the wheel is important for the safe and good operation of the rail vehicle.
In the process of measuring the polygonal loss of the circumferential surface of the wheel, the measuring device needs to be slid to cover the whole circumferential surface of the wheel, and the actual structure of the railway vehicle determines that a part of the area on the wheel is necessarily shielded. To achieve this, it is necessary to relieve the braking of the vehicle, jack the vehicle up by a jack or the like so that the wheel and the rail are separated from each other, and turn the wheel so as to achieve the measurement of the entire circumferential surface of the wheel.
The method not only needs more tooling tools and is high in required cost, but also is relatively complicated in the whole testing process and long in time consumption, and even needs to disassemble the related mounting parts of the wheel set.
Disclosure of Invention
The invention aims to provide a method, a device, equipment and a computer readable storage medium for detecting the circumferential surface of a wheel of a railway vehicle, which can simplify the difficulty of detecting the circumferential surface of the wheel to a certain extent.
In order to solve the above technical problem, the present invention provides a method for detecting a wheel circumferential surface of a railway vehicle, including:
collecting current fluctuation information of the undulation of the circumferential surface of the wheel which is not shielded;
determining theoretical vibration data of the wheel according to the current fluctuation information and a corresponding relation model between the fluctuation information and vibration data of the wheel, which is created in advance;
searching a group of historical vibration data sections with the highest similarity to the theoretical vibration data in historical vibration data, and taking vibration data sections adjacent to the historical vibration data sections in the historical vibration data as estimated vibration data of the wheel;
and determining estimated fluctuation information corresponding to the circumferential surface of the wheel except the circumferential surface corresponding to the current fluctuation information according to the estimated vibration data, and determining fluctuation information of the complete circumferential surface of the wheel according to the estimated fluctuation information and the current fluctuation information.
Preferably, the process of creating the correspondence model in advance includes:
collecting vibration data samples in the running process of a wheel and fluctuation information samples of the whole circumferential surface of the wheel;
and carrying out neural network training according to vibration data samples and fluctuation information samples which respectively correspond to each position point on the wheel when the position point rotates to be attached to the track, so as to obtain the corresponding relation model.
Preferably, the step of using a vibration data section adjacent to the historical vibration data section in the historical vibration data as the estimated vibration data of the wheel includes:
using a vibration data section with a set section length adjacent to the historical vibration data section in the historical vibration data as the estimated vibration data; wherein the set segment length is determined based on a corresponding wheel speed at which the historical vibration data was collected.
Preferably, determining the estimated fluctuation information corresponding to the circumferential surface of the wheel except the circumferential surface corresponding to the current fluctuation information according to the estimated vibration data includes:
and obtaining estimated fluctuation information of the shielded circumferential surface of the wheel according to the estimated vibration data and the corresponding relation model.
Preferably, the searching for a group of historical vibration data sections with the highest similarity to the theoretical vibration data in the historical vibration data includes:
comparing historical fluctuation information corresponding to the historical vibration data with current fluctuation information of the wheel, and searching and obtaining a plurality of sections of historical fluctuation information sections with the similarity of the current fluctuation information not lower than a first set similarity;
and comparing the historical vibration data sections in the historical vibration data corresponding to the historical fluctuation information sections with the theoretical vibration data in similarity, and determining a group of historical vibration data sections with the highest similarity to the theoretical vibration data.
A wheel periphery inspection apparatus for a railway vehicle, comprising:
the data acquisition module is used for acquiring the current fluctuation information of the fluctuation of the circumferential surface of the wheel which is not shielded;
the first operation module is used for determining theoretical vibration data of the wheel according to the current fluctuation information and a corresponding relation model between the fluctuation information and vibration data of the wheel, which is created in advance;
the second operation module is used for searching a group of historical vibration data sections with the highest similarity to the theoretical vibration data in historical vibration data, and using vibration data sections adjacent to the historical vibration data sections in the historical vibration data as estimated vibration data of the wheel;
and the third operation module is used for determining estimated fluctuation information corresponding to the circumferential surface except the circumferential surface corresponding to the current fluctuation information on the wheel according to the estimated vibration data, and determining fluctuation information of the complete circumferential surface of the wheel according to the estimated fluctuation information and the current fluctuation information.
Preferably, the system also comprises a model creating module, a vibration data acquiring module and a vibration data acquiring module, wherein the model creating module is used for acquiring vibration data samples in the running process of the wheel and fluctuation information samples of the whole circumferential surface of the wheel; and carrying out neural network training according to vibration data samples and fluctuation information samples which respectively correspond to each position point on the wheel when the position point rotates to be attached to the track, so as to obtain the corresponding relation model.
Preferably, the second operation module is specifically configured to compare historical fluctuation information corresponding to the historical vibration data with current fluctuation information of the wheel, and search for a plurality of segments of historical fluctuation information, where a similarity between the segments of historical fluctuation information and the current fluctuation information is not lower than a first set similarity; and comparing the historical vibration data sections in the historical vibration data corresponding to the historical fluctuation information sections with the theoretical vibration data in similarity, and determining a group of historical vibration data sections with the highest similarity to the theoretical vibration data.
A detection apparatus for a wheel circumferential surface of a rail vehicle, comprising:
a memory for storing a computer program;
a processor for executing the computer program to implement the steps of the method for detecting a circumferential surface of a wheel of a rail vehicle as described in any one of the above.
A computer-readable storage medium, in which a computer program is stored which is executed to implement the steps of the method of detecting a wheel periphery of a rail vehicle as claimed in any one of the preceding claims.
The invention provides a method, a device, equipment and a computer readable storage medium for detecting the wheel circumferential surface of a railway vehicle, wherein the method comprises the steps of collecting the current fluctuation information of the circumferential surface undulation of the wheel which is not shielded; determining theoretical vibration data of the wheel according to the current fluctuation information and a pre-established correspondence model between the fluctuation information and the vibration data of the wheel; searching a group of historical vibration data sections with the highest similarity to theoretical vibration data in the historical vibration data, and taking the vibration data sections adjacent to the historical vibration data sections in the historical vibration data as estimated vibration data of the wheel; and determining estimated fluctuation information corresponding to the circumferential surface of the wheel except the circumferential surface corresponding to the current fluctuation information according to the estimated vibration data, and determining fluctuation information of the complete circumferential surface of the wheel according to the estimated fluctuation information and the current fluctuation information.
According to the method, by utilizing the characteristic that the fluctuation and fluctuation conditions of the circumferential surface of the wheel and the vibration data in the running process of the wheel have a corresponding incidence relation, under the condition that only the current fluctuation information of part of the circumferential surface of the wheel is collected, the theoretical vibration data corresponding to the current fluctuation information is determined through an incidence relation model between the fluctuation information and the vibration data, the estimated vibration data corresponding to the circumferential surface closest to the wheel is determined in historical vibration data by utilizing the theoretical vibration data, the estimated vibration data is used as the vibration data of the circumferential surface of the wheel which is not detected, therefore, the waveform information of the circumferential surface of the wheel which is not detected can be determined on the basis of the estimated vibration data, and the fluctuation information of the complete circumferential surface of the wheel can be obtained by combining the currently measured current fluctuation information, wherein the fluctuation information is the polygonal information of the wheel. In the whole detection process, extra tools such as jacks are not needed, the consumption of manpower and material resources is reduced, and the detection difficulty of the circumferential surface information of the wheel is reduced.
Drawings
In order to more clearly illustrate the embodiments or technical solutions of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for detecting a circumferential surface of a wheel of a railway vehicle according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a measuring device provided in this embodiment for measuring fluctuation information of a wheel;
FIG. 3 is a schematic cross-sectional view of the contact portion of the measuring device of FIG. 2 with the wheel;
fig. 4 is a block diagram of a detection apparatus for a wheel circumferential surface of a railway vehicle according to an embodiment of the present invention;
fig. 5 is a block diagram of a detection apparatus for a wheel circumferential surface of a railway vehicle according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the disclosure, the invention will be described in further detail with reference to the accompanying drawings and specific embodiments. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a schematic flowchart of a method for detecting a wheel circumferential surface of a rail vehicle according to an embodiment of the present disclosure; the method for detecting the circumferential surface of the wheel may include:
s101: current fluctuation information of the circumferential surface undulation of the wheel which is not shielded is collected.
The wave information of the wheel in the present embodiment may mainly include the harmonic number (i.e., the order number) and the wave depth of the circumferential surface of the wheel, which is mainly the undulation profile waveform formed by the undulation of the circumferential surface of the wheel.
Referring to fig. 2 and 3, fig. 2 is a schematic structural diagram illustrating a measuring device according to the present embodiment for measuring fluctuation information of a wheel; fig. 3 is a schematic cross-sectional view of the contact portion of the measuring device of fig. 2 with the wheel.
The measuring device shown in fig. 2 and 3 comprises a clamping sleeve 2 which can be clamped to the unshielded circumferential surface of the wheel 1, and a laser distance measuring device 3 arranged on the clamping sleeve 2. By measuring the distance information between each point on the circumferential surface of the wheel 1 and the laser range finder 3 by the laser range finder 3, the fluctuation information in the section of the wheel 1 measured by the measuring device can be obtained.
In the embodiment shown in fig. 2, the measuring device can measure the waveform information of 1/4 of the circumferential surface of the wheel 1 at a time. In the measuring process, the measuring device can be used for only collecting 1/4 circumference waveform information of the wheel 1 which is not shielded as current waveform information, and can also be used for sliding on the circumference surface of the wheel 1 which is not shielded to measure the fluctuation information of all the circumference surfaces of the wheel 1 which are not shielded as current fluctuation information, so that the accuracy of subsequently determining the fluctuation information of the whole wheel 1 is improved. Of course, the clamping sleeve 2 of the measuring device is not necessarily equal to 1/4 of the circumference arc length of the wheel 1, and can be smaller, and the application is not limited thereto.
S102: and determining theoretical vibration data of the wheel according to the current fluctuation information and a correspondence model between the fluctuation information and the vibration data of the wheel, which is created in advance.
When the circumferential surface of the wheel is uneven, the wheel inevitably generates vibration during the running process of the wheel, and the vibration frequency, the vibration amplitude and the like of the wheel are directly influenced by the undulation of the circumferential surface of the wheel, so that certain correlation relationship should exist between the waveform information and the vibration data of the wheel. Therefore, in this embodiment, a correspondence model representing the association between the fluctuation information and the vibration data of the wheel is created in turn as a basis.
The corresponding relation model may be determined based on feature analysis of the waveform information and the vibration data, or may be determined by performing mathematical operation on the waveform information and the vibration data, which is not limited in this embodiment.
Optionally, the process of creating the correspondence model in advance may include:
collecting vibration data samples in the running process of the wheel and fluctuation information samples of the whole circumferential surface of the wheel;
and training a neural network according to the vibration data sample and the fluctuation information sample which respectively correspond to each position point on the wheel when the position point rotates to be attached to the track, so as to obtain a corresponding relation model.
The vibration data sample can be vibration data collected and recorded in real time by a vibration sensor installed on a wheel in the actual operation of the vehicle. However, variations in the measured vibration data may be affected to some extent by taking into account wheel speeds, track curvature variations, and track heave variations. Therefore, when the vibration data sample is selected, the vibration data sample collected in the process that the wheels run at the same section of running road at approximately the same speed can be specially selected, for example, the vibration data in the process that the vehicle slowly runs when entering the station can be specially selected as the vibration data sample; in summary, it should be avoided as much as possible that factors other than waveform information have an influence on the vibration of the wheel.
S103: and searching a group of historical vibration data sections with the highest similarity to the theoretical vibration data in the historical vibration data, and taking the vibration data sections adjacent to the historical vibration data sections in the historical vibration data as the estimated vibration data of the wheel.
Wherein the historical vibration data may be vibration data collected during operation of other wheels of the same model as the currently detected wheel.
In order to ensure the accuracy of searching the determined predicted vibration data in the historical vibration data, in another optional embodiment, the method may further include:
comparing historical fluctuation information corresponding to the historical vibration data with current fluctuation information of the wheels, and searching to obtain multiple sections of historical fluctuation information sections with the similarity of the current fluctuation information being not lower than a first set similarity;
and comparing the historical vibration data sections in the historical vibration data respectively corresponding to the historical fluctuation information sections with the theoretical vibration data in similarity, and determining a group of historical vibration data sections with the highest similarity to the theoretical vibration data.
It should be noted that, when determining the similarity between the current fluctuation information and the historical fluctuation information, the similarity calculation may be performed based on the information of different aspects, such as the harmonic number, the wave depth of the current fluctuation information and the historical fluctuation information, and the waveform change rule corresponding to the adjacent position point, and the like, and the weighted sum may be performed according to the ratio of the difference between the harmonic number of the current fluctuation information and the harmonic number of the current fluctuation information to the ratio between the wave depth difference value and the wave depth in the current fluctuation information, where a smaller sum result indicates a higher similarity, and on the contrary, a larger sum result indicates a lower similarity.
The similarity between the historical vibration data and the theoretical vibration data may be determined by the vibration amplitude, the vibration period, the change rule of the vibration amplitude, and the like, and for the determination of the similarity, the conventional multiple parameters may be referred to as a determination of the similarity between one group and another group of multiple parameters, which is not described in detail herein.
Generally, for the same type of wheel, as the running time is prolonged, the variation of the fluctuation information of the circumferential surface of the wheel is similar in the whole service life of the wheel; therefore, when a historical vibration data section which is approximate to theoretical vibration data corresponding to the current fluctuation information is found in the historical vibration data, the historical vibration data section can be regarded as vibration data corresponding to the current fluctuation information, and the historical vibration data of a section adjacent to the historical vibration data section can be regarded as vibration data corresponding to a circumferential area of undetected waveform information on the wheel corresponding to the current fluctuation information, so that the vibration data of a complete circumferential surface of the wheel can be obtained.
Optionally, in another optional embodiment of the present application, the process for determining the estimated vibration data corresponding to the shielded circumferential surface on the wheel may include:
after the historical vibration data section which is closest to the theoretical vibration data corresponding to the current fluctuation data is determined in the historical vibration data,
using a vibration data section with a set section length adjacent to the historical vibration data section in the historical vibration data as estimated vibration data; wherein the set segment length is determined based on a corresponding wheel speed at which the historical vibration data was collected.
It will be appreciated that the sum of the length of the section corresponding to the historical vibration data section corresponding to the current fluctuation information and the length of the set section, which is obviously related to the wheel occlusion rate, should be a section exactly equal to the historical vibration data corresponding to one wheel revolution.
S104: and determining estimated fluctuation information corresponding to the circumferential surface of the wheel except the circumferential surface corresponding to the current fluctuation information according to the estimated vibration data, and determining fluctuation information of the complete circumferential surface of the wheel according to the estimated fluctuation information and the current fluctuation information.
As described above, the estimated vibration data may be regarded as vibration data corresponding to a wheel circumferential surface on which the waveform information is not detected but is blocked; therefore, the estimated vibration data is substituted into the corresponding relation model, and the unmeasured waveform information of the wheels can be determined. Obviously, the waveform information of a complete wheel can be obtained by mutually splicing the measured waveform information and the current waveform information.
Of course, the estimated vibration data is data in a section in the historical vibration data, and if the historical vibration data has corresponding historical waveform information, obviously, the historical waveform information corresponding to the estimated vibration data can be directly used as the waveform information of the unmeasured circumferential area of the wheel, and the waveform information of the complete circumferential surface of the wheel can also be obtained by splicing the historical waveform information and the current wheel information.
In summary, in the present application, by using the characteristic that the fluctuation condition of the circumferential surface of the wheel and the vibration data of the wheel during the operation process have a corresponding association relationship, in the braking state that the wheel is directly attached to the steel rail, only the current fluctuation information of the partial circumferential surface of the wheel is collected, i.e. the theoretical vibration data corresponding to the current fluctuation information can be determined through the association relationship model between the fluctuation information and the vibration data, the estimated vibration data corresponding to the circumferential surface closest to the wheel in the historical vibration data is used, the waveform information of the circumferential surface that the wheel cannot be measured is determined based on the estimated vibration data, and then the fluctuation information of the complete circumferential surface of the wheel can be obtained by combining the currently measured current fluctuation information; in the whole detection process, extra tools such as jacks are not needed, the consumption of manpower and material resources is reduced, and the detection difficulty of the circumferential surface information of the wheel is reduced.
In the following, the apparatus for detecting a circumferential surface of a wheel of a rail vehicle according to an embodiment of the present invention is described, and the apparatus for detecting a circumferential surface of a wheel of a rail vehicle described below and the method for detecting a circumferential surface of a wheel of a rail vehicle described above may be referred to correspondingly.
Fig. 4 is a block diagram of a detection apparatus for a wheel circumferential surface of a rail vehicle according to an embodiment of the present invention, and referring to fig. 4, the detection apparatus for a wheel circumferential surface of a rail vehicle may include:
the data acquisition module 100 is used for acquiring current fluctuation information of the fluctuation of the circumferential surface of the wheel which is not shielded;
a first operation module 200, configured to determine theoretical vibration data of the wheel according to the current fluctuation information and a correspondence model between the fluctuation information and vibration data of the wheel, where the correspondence model is created in advance;
a second operation module 300, configured to search a group of historical vibration data segments with the highest similarity to the theoretical vibration data in historical vibration data, and use a vibration data segment adjacent to the historical vibration data segment in the historical vibration data as estimated vibration data of the wheel;
a third operation module 400, configured to determine, according to the estimated vibration data, estimated fluctuation information corresponding to a circumferential surface other than a circumferential surface corresponding to the current fluctuation information on the wheel, and determine fluctuation information of a complete circumferential surface of the wheel according to the estimated fluctuation information and the current fluctuation information.
In an optional embodiment of the present application, the system further comprises a model creation module, configured to collect vibration data samples during operation of the wheel, and fluctuation information samples of the entire circumferential surface of the wheel; and training a neural network according to the vibration data sample and the fluctuation information sample which respectively correspond to each position point on the wheel when the position point rotates to be attached to the track, so as to obtain the corresponding relation model.
In an optional embodiment of the present application, the second operation module 300 is specifically configured to use a vibration data segment with a set segment length adjacent to the historical vibration data segment in the historical vibration data as the estimated vibration data; wherein the set section length is determined based on a corresponding wheel speed at which the historical vibration data was collected.
In an optional embodiment of the present application, the third operation module 400 is configured to obtain estimated fluctuation information of the circumferential surface of the wheel that is shielded according to the estimated vibration data and the correspondence model.
In an optional embodiment of the present application, the second operation module 300 is specifically configured to compare historical fluctuation information corresponding to the historical vibration data with current fluctuation information of the wheel, and find a plurality of segments of historical fluctuation information sections, where a similarity between the segments and the current fluctuation information is not lower than a first set similarity; and comparing the similarity of the historical vibration data sections in the historical vibration data corresponding to the historical fluctuation information sections with the theoretical vibration data to determine a group of historical vibration data sections with the highest similarity with the theoretical vibration data.
The detection apparatus for the wheel circumferential surface of the rail vehicle in this embodiment is used to implement the aforementioned detection method for the wheel circumferential surface of the rail vehicle, and therefore, specific embodiments of the detection apparatus for the wheel circumferential surface of the rail vehicle can be found in the foregoing embodiment parts of the detection method for the wheel circumferential surface of the rail vehicle, for example, the data acquisition module 100, the first operation module 200, the second operation module 300, and the third operation module 400 are respectively used to implement steps S101, S102, S103, and S104 in the detection method for the wheel circumferential surface of the rail vehicle, so that specific embodiments thereof may refer to descriptions of corresponding respective partial embodiments, and are not repeated herein.
As shown in fig. 5, fig. 5 is a block diagram of a detection apparatus for a wheel circumferential surface of a rail vehicle according to an embodiment of the present invention. In an embodiment of the present disclosure, a detection apparatus for a wheel circumferential surface of a rail vehicle may include:
a memory 10 for storing a computer program;
a processor 20 for executing the computer program to implement the steps of the method for detecting a circumferential surface of a wheel of a rail vehicle as described in any one of the above.
The method for detecting the wheel circumferential surface of the railway vehicle executed by the processor comprises the following steps:
collecting current fluctuation information of the undulation of the circumferential surface of the wheel which is not shielded;
determining theoretical vibration data of the wheel according to the current fluctuation information and a corresponding relation model between the fluctuation information and vibration data of the wheel, which is created in advance;
searching a group of historical vibration data sections with the highest similarity to the theoretical vibration data in historical vibration data, and taking vibration data sections adjacent to the historical vibration data sections in the historical vibration data as estimated vibration data of the wheel;
and determining estimated fluctuation information corresponding to the circumferential surface of the wheel except the circumferential surface corresponding to the current fluctuation information according to the estimated vibration data, and determining fluctuation information of the complete circumferential surface of the wheel according to the estimated fluctuation information and the current fluctuation information.
The present application further provides a computer readable storage medium having stored thereon a computer program to be executed to implement the steps of the method of detecting a wheel periphery of a rail vehicle as claimed in any one of the above.
In the present specification, the embodiments are described in a progressive manner, and each embodiment focuses on differences from other embodiments, and the same or similar parts between the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
Claims (10)
1. A method of detecting a wheel circumferential surface of a railway vehicle, comprising:
collecting current fluctuation information of the undulation of the circumferential surface of the wheel which is not shielded;
determining theoretical vibration data of the wheel according to the current fluctuation information and a pre-established corresponding relation model between the fluctuation information and the vibration data of the wheel;
searching a group of historical vibration data sections with the highest similarity to the theoretical vibration data in historical vibration data, and taking vibration data sections adjacent to the historical vibration data sections in the historical vibration data as estimated vibration data of the wheel;
and determining estimated fluctuation information corresponding to the circumferential surface of the wheel except the circumferential surface corresponding to the current fluctuation information according to the estimated vibration data, and determining fluctuation information of the complete circumferential surface of the wheel according to the estimated fluctuation information and the current fluctuation information.
2. The method of testing a circumferential surface of a wheel of a rail vehicle of claim 1, wherein the process of pre-creating the correspondence model comprises:
collecting vibration data samples in the running process of a wheel and fluctuation information samples of the whole circumferential surface of the wheel;
and training a neural network according to the vibration data sample and the fluctuation information sample which respectively correspond to each position point on the wheel when the position point rotates to be attached to the track, so as to obtain the corresponding relation model.
3. The method of detecting a circumferential surface of a wheel of a railway vehicle as claimed in claim 1, wherein the step of using a vibration data section adjacent to the historical vibration data section in the historical vibration data as the estimated vibration data of the wheel comprises:
taking a vibration data section with a set section length adjacent to the historical vibration data section in the historical vibration data as the estimated vibration data; wherein the set segment length is determined based on a corresponding wheel speed at which the historical vibration data was collected.
4. The method of claim 1, wherein determining estimated waviness information for circumferential surfaces on the wheel other than a circumferential surface to which the current waviness information corresponds based on the estimated vibration data comprises:
and obtaining estimated fluctuation information of the shielded circumferential surface of the wheel according to the estimated vibration data and the corresponding relation model.
5. The method for detecting a circumferential surface of a wheel of a rail vehicle according to any one of claims 1 to 4, wherein finding a set of historical vibration data segments having the highest similarity to the theoretical vibration data among the historical vibration data comprises:
comparing historical fluctuation information corresponding to the historical vibration data with current fluctuation information of the wheel, and searching and obtaining a plurality of sections of historical fluctuation information sections with the similarity of the current fluctuation information not lower than a first set similarity;
and comparing the historical vibration data sections in the historical vibration data corresponding to the historical fluctuation information sections with the theoretical vibration data in similarity, and determining a group of historical vibration data sections with the highest similarity to the theoretical vibration data.
6. A device for detecting the circumferential surface of a wheel of a rail vehicle, comprising:
the data acquisition module is used for acquiring the current fluctuation information of the fluctuation of the circumferential surface of the wheel which is not shielded;
the first operation module is used for determining theoretical vibration data of the wheel according to the current fluctuation information and a corresponding relation model between the fluctuation information and vibration data of the wheel, which is created in advance;
the second operation module is used for searching a group of historical vibration data sections with the highest similarity to the theoretical vibration data in historical vibration data, and using vibration data sections adjacent to the historical vibration data sections in the historical vibration data as estimated vibration data of the wheel;
and the third operation module is used for determining estimated fluctuation information corresponding to the circumferential surface except the circumferential surface corresponding to the current fluctuation information on the wheel according to the estimated vibration data, and determining fluctuation information of the complete circumferential surface of the wheel according to the estimated fluctuation information and the current fluctuation information.
7. The apparatus for testing the circumferential surface of a wheel of a rail vehicle of claim 6, further comprising a model creation module for collecting vibration data samples during operation of the wheel and fluctuation information samples of the entire circumferential surface of the wheel; and training a neural network according to the vibration data sample and the fluctuation information sample which respectively correspond to each position point on the wheel when the position point rotates to be attached to the track, so as to obtain the corresponding relation model.
8. The apparatus according to claim 6 or 7, wherein the second computing module is specifically configured to compare historical fluctuation information corresponding to the historical vibration data with current fluctuation information of the wheel, and search for a plurality of segments of historical fluctuation information, where a similarity between the segments of historical fluctuation information and the current fluctuation information is not lower than a first set similarity; and comparing the historical vibration data sections in the historical vibration data corresponding to the historical fluctuation information sections with the theoretical vibration data in similarity, and determining a group of historical vibration data sections with the highest similarity to the theoretical vibration data.
9. An apparatus for detecting a circumferential surface of a wheel of a rail vehicle, comprising:
a memory for storing a computer program;
a processor for executing the computer program to carry out the steps of the method of detection of a circumferential surface of a wheel of a rail vehicle according to any one of claims 1 to 5.
10. A computer-readable storage medium, in which a computer program is stored which is executed to implement the steps of the method of detection of a circumferential surface of a wheel of a rail vehicle according to any one of claims 1 to 5.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210939330.1A CN115307939A (en) | 2022-08-05 | 2022-08-05 | Method, device, equipment and storage medium for detecting wheel circumferential surface of rail vehicle |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210939330.1A CN115307939A (en) | 2022-08-05 | 2022-08-05 | Method, device, equipment and storage medium for detecting wheel circumferential surface of rail vehicle |
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| CN202210939330.1A Pending CN115307939A (en) | 2022-08-05 | 2022-08-05 | Method, device, equipment and storage medium for detecting wheel circumferential surface of rail vehicle |
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