Tire noise type determination method, device and non-volatile storage medium

Abstract

This application discloses a method, apparatus, and non-volatile storage medium for determining tire noise types. The method includes: acquiring noise data from a target tire to obtain a tire noise frequency map; identifying abnormal peak points on the tire noise frequency map, where abnormal peak points are peaks on the noise frequency map whose corresponding sound pressure levels exceed a preset threshold; determining the noise source location of the target tire based on the abnormal peak points and the entire noise frequency range of the noise frequency map, obtaining a tire noise location map, where the tire noise location map represents the location where the target tire generates noise at different frequencies; and determining the primary and secondary noise types of the target tire at different frequencies based on the tire noise location map. This application solves the technical problems of being unable to determine the relationship between frequency and noise type and being unable to improve noise in a specified frequency range due to the complexity of tire noise generation mechanisms.

Description

Technical Field

[0001] This application relates to the field of tire noise testing and evaluation, and more specifically, to a method, apparatus, and non-volatile storage medium for determining tire noise types. Background Technology

[0002] Currently, tire noise is diverse in type and complex in its generation mechanism. Existing technologies can collect and locate noise, but they do not process the noise data. Therefore, it is impossible to determine the main types and influencing factors of tire noise at the noise location, nor can it distinguish the main factors of each noise generation and influencing mechanism from the tire noise spectrum. Tire product design engineers cannot effectively improve the noise in a specified spectrum area.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This application provides a method, apparatus, and non-volatile storage medium for determining tire noise type, so as to at least solve the technical problems of being unable to determine the relationship between frequency and noise type and being unable to improve noise in a specified frequency range due to the complexity of tire noise generation mechanism.

[0005] According to one aspect of the embodiments of this application, a method for determining tire noise type is provided, comprising: collecting noise data of a target tire to obtain a tire noise frequency map of the target tire; determining abnormal peak points on the tire noise frequency map, wherein the abnormal peak points are peak points on the noise frequency map whose corresponding sound pressure level is greater than a preset threshold; determining the noise source location of the target tire based on the abnormal peak points and the entire noise frequency range of the noise frequency map to obtain a tire noise location map, wherein the tire noise location map is used to represent the location where the target tire generates noise at different frequencies; and determining the primary and secondary noise types of different frequency noises of the target tire based on the tire noise location map.

[0006] Optionally, determining the location of the noise source based on the abnormal peak point and the noise frequency band of the tire noise frequency map to obtain the tire noise location map includes: determining the location of the first noise source at the frequency corresponding to the abnormal peak point; determining the location of the second noise source corresponding to the noise frequency band of the tire noise frequency map through octave band calculation; determining the tire side view image, tire leading edge image, and tire trailing edge image of the target tire, and obtaining the tire noise location map by marking the location of the first noise source and the location of the second noise source in the tire side view image, tire leading edge image, and tire trailing edge image.

[0007] Optionally, the first noise source location represents the location of tire noise generation determined based on the frequency corresponding to the abnormal peak point on the tire noise frequency diagram; the second noise source location represents the location of tire noise generation determined based on the entire frequency band on the tire noise frequency diagram.

[0008] Optionally, before determining the primary and secondary noise types of different frequencies of the target tire based on the tire noise location map, the method further includes: determining a tire noise generation mechanism table, wherein the tire noise generation mechanism table includes multiple noise types, as well as the noise region and noise variation law corresponding to each noise type, the noise region being the area in the tire that generates each noise type, and the noise variation law being the change law of the corresponding noise frequency and sound pressure level as the tire speed increases.

[0009] Optionally, determining the primary and secondary noise types of different frequencies of the target tire based on the tire noise location map includes: displaying noise-generating areas of different amplitudes on the tire noise location map according to the adjusted sound pressure level display range; identifying multiple tire noise-generating areas marked on the tire noise location map, with the area with the highest noise amplitude being the primary tire noise-generating area and the area outside the primary tire noise-generating area being the secondary tire noise-generating area; determining the tire noise type corresponding to the primary tire noise-generating area as the primary noise type based on the tire noise generation mechanism table; and determining the tire noise type corresponding to the secondary tire noise-generating area as the secondary noise type based on the tire noise generation mechanism table.

[0010] Optionally, the first coordinate value of any point in the tire noise frequency diagram represents the frequency information corresponding to that point, and the second coordinate value of any point represents the noise information corresponding to that point.

[0011] Optionally, noise collection of the target tire includes: maintaining the target tire rotating at a first test speed; while the target tire is rotating at the first test speed, collecting noise data at the leading edge, trailing edge, and sidewall of the target tire, respectively, wherein the data collection duration for collecting noise data at the leading edge, trailing edge, and sidewall of the target tire is a preset duration; changing the test speed of the target tire to a second test speed, and while the target tire is rotating at the second test speed, collecting noise data at the leading edge, trailing edge, and sidewall of the target tire, respectively, wherein the data collection duration for collecting noise data at the leading edge, trailing edge, and sidewall of the target tire is a preset duration; changing the test speed of the target tire to a third test speed, and while the target tire is rotating at the third test speed, collecting noise data at the leading edge, trailing edge, and sidewall of the target tire, wherein the data collection duration for collecting noise data at the leading edge, trailing edge, and sidewall of the target tire is a preset duration.

[0012] Optionally, acquiring noise data of the target tire includes: using a reference microphone and a microphone array as noise acquisition devices; the reference microphone is used to determine the initial phase point of the tire, wherein the initial phase point is used to calculate the composite sound pressure field; and the microphone array is used to acquire noise data of the target tire.

[0013] Optionally, the microphone array collects noise data of the target tire at the front edge, rear edge, and side edge. The center of the microphone array is perpendicular to the line connecting the center of the tire and rim assembly. The distance between the microphone array and the outer sidewall plane of the tire under test is not less than the ratio of the square of the distance between the two nearest microphones to the minimum wavelength of the sound source. The microphone array adopts a mesh structure, and the mesh structure covers the size of the tire under test. The distance between the nearest microphone points is less than half the minimum wavelength of the sound source, and the maximum size of the microphone array should be greater than half the maximum wavelength of the sound source.

[0014] According to another aspect of the embodiments of this application, a tire noise type identification device is also provided, comprising: a first processing module for collecting target tire noise data and establishing a composite sound pressure field of test points based on the collected data; a second processing module for calculating the frequency of abnormal peak points and the noise source location corresponding to the frequency bands to obtain a noise location map; and a third processing module for determining the main noise type and secondary noise type of different frequencies by combining the noise location map and the tire noise generation mechanism table.

[0015] According to another aspect of the embodiments of this application, a non-volatile storage medium is also provided, characterized in that the non-volatile storage medium stores a program, wherein, when the program runs, it controls the device where the non-volatile storage medium is located to execute a method for determining any type of tire noise.

[0016] According to another aspect of the embodiments of this application, an electronic device is also provided, characterized in that it includes: a memory and a processor, the processor being configured to run a program stored in the memory, wherein the program, when running, executes a method for determining an arbitrary tire noise type.

[0017] In this embodiment, noise data of the target tire is collected to obtain a tire noise frequency map. Abnormal peak points are identified on the tire noise frequency map, where the abnormal peak points are peak points on the noise frequency map where the corresponding sound pressure level is greater than a preset threshold. The location of the noise source of the target tire is determined based on the abnormal peak points and the entire noise frequency range of the noise frequency map, resulting in a tire noise location map. The tire noise location map is used to represent the location of noise generated by the target tire at different frequencies. The main and secondary noise types of the target tire at different frequencies are determined based on the tire noise location map. By calculating the noise source location corresponding to the noise frequency, the purpose of determining the tire noise type in each frequency band is achieved, thereby realizing the technical effect of improving noise at specific frequencies. This solves the technical problems of being unable to determine the relationship between frequency and noise type and being unable to improve noise in a specified frequency range due to the complexity of the tire noise generation mechanism. Attached Figure Description

[0018] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0019] Figure 1 This is a schematic diagram of the structure of an optional computer terminal (mobile terminal) according to an embodiment of this application;

[0020] Figure 2 This is a flowchart illustrating an optional method for determining tire noise type according to an embodiment of this application;

[0021] Figure 3 This is a block diagram of an optional tire noise type determination device according to an embodiment of this application;

[0022] Figure 4 This is an optional tire noise frequency diagram according to an embodiment of this application;

[0023] Figure 5 This is an optional tire noise location map according to an embodiment of this application;

[0024] Figure 6 This is an optional tire noise positioning diagram according to an embodiment of this application. Detailed Implementation

[0025] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0026] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0027] To better understand the embodiments of this application, the technical terms involved in the embodiments of this application are explained below:

[0028] Sound pressure level (SPL): A physical quantity that measures the intensity of sound. SPL is expressed in decibels (dB) and is the logarithmic ratio relative to a reference sound pressure level. SPL has a wide range of applications, including: measuring and assessing environmental noise: used to assess noise levels in industries, transportation, and construction, as well as to evaluate the impact of noise on human health. Audio engineering: used to evaluate and adjust the volume and sound intensity of audio equipment to ensure sound quality and comfort. Acoustic research: used to measure and study the propagation, reflection, and absorption characteristics of sound, and to assess the quality of the acoustic environment.

[0029] 1 / 3 octave band: This refers to the octave band power spectrum, which is obtained by dividing the discrete spectrum into frequency bands, calculating the power spectrum of each band separately, and then summing the results. The frequency band division uses a constant bandwidth ratio, that is, keeping the ratio of the upper and lower limits of the frequency band a constant, usually 2. N When N takes values ​​including 1, 1 / 3, 1 / 12, etc., N = 1 / 3 means a 1 / 3 octave band division of the noise frequency. This frequency band division can divide the 20-20kHz frequency range that can be heard by the human ear into several frequency bands, which is convenient for subsequent acoustic evaluation and signal analysis.

[0030] In related technologies, the main types of tire noise generation at different frequencies cannot be determined. Therefore, tire design engineers are unable to improve noise in specific frequency ranges. To address this issue, the embodiments of this application provide related solutions, detailed below.

[0031] According to an embodiment of this application, a method embodiment for determining tire noise type is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0032] The methods and embodiments provided in this application can be executed on mobile terminals, computer terminals, or similar computing devices. Figure 1 A hardware block diagram of a computer terminal (or mobile device) for implementing a method for determining tire noise types is shown. Figure 1 As shown, the computer terminal 10 (or mobile device 10) may include one or more processors 102 (shown as 102a, 102b, ..., 102n in the figure) (processor 102 may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.), a memory 104 for storing data, and a transmission module 106 for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of a BUS bus), a network interface, a power supply, and / or a camera. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the aforementioned electronic device. For example, computer terminal 10 may also include... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0033] It should be noted that the aforementioned one or more processors 102 and / or other data processing circuits are generally referred to herein as "data processing circuits". These data processing circuits may be embodied, in whole or in part, in software, hardware, firmware, or any other combination thereof. Furthermore, the data processing circuits may be a single, independent processing module, or may be integrated, in whole or in part, into any other element within the computer terminal 10 (or mobile device). As involved in the embodiments of this application, the data processing circuits serve as a processor control mechanism (e.g., selection of a variable resistor termination path connected to an interface).

[0034] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the tire noise type determination method in this embodiment. The processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, thereby realizing the aforementioned tire noise type determination method. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the computer terminal 10 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0035] The transmission device 106 is used to receive or send data via a network. Specific examples of the network described above may include a wireless network provided by the communication provider of the computer terminal 10. In one example, the transmission device 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 106 may be a Radio Frequency (RF) module, used for wireless communication with the Internet.

[0036] The display can be, for example, a touchscreen liquid crystal display (LCD) that allows the user to interact with the user interface of the computer terminal 10 (or mobile device).

[0037] Under the aforementioned operating environment, embodiments of this application provide a method for determining the type of tire noise, such as... Figure 2 As shown, the method includes the following steps:

[0038] Step S202: Collect noise data of the target tire to obtain the tire noise frequency map of the target tire;

[0039] In the technical solution provided in step S202, the noise data of the target tire needs to be collected in a semi-anechoic environment. The test tire is installed in the indoor drum test machine of the semi-anechoic chamber. The required test load is applied to the tire, and the tire noise data is collected for a period of time at three different test speeds using a tire data acquisition device.

[0040] Specifically, noise collection of the target tire includes: maintaining the target tire rotating at a first test speed; while the target tire is rotating at the first test speed, collecting noise data at the front edge, rear edge, and side of the target tire, respectively, wherein the data collection time for the noise data at the front edge, rear edge, and side of the target tire is a preset duration; changing the test speed of the target tire to a second test speed, and while the target tire is rotating at the second test speed, collecting noise data at the front edge, rear edge, and side of the target tire, respectively, wherein the data collection time for the noise data at the front edge, rear edge, and side of the target tire is a preset duration; changing the test speed of the target tire to a third test speed, and while the target tire is rotating at the third test speed, collecting noise data at the front edge, rear edge, and side of the target tire, wherein the data collection time for the noise data at the front edge, rear edge, and side of the target tire is a preset duration.

[0041] Among them, the first test speed, the second test speed, and the third test speed are all different test speeds, and the data acquisition time is the same. By using the method of controlling variables, the change trend of noise frequency and sound pressure level caused by different test speeds within the same time period can be obtained from the acquired data.

[0042] As an optional implementation, the data acquisition device includes a reference microphone and a microphone array; wherein, the reference microphone is used to determine the initial phase point of the tire and is fixed at the left front of the target tire, and the initial phase point is used to calculate the composite sound pressure field; the microphone array is used to collect noise data of the target tire, and the microphone array collects noise data of the target tire at the front edge, rear edge and side edge of the target tire respectively, wherein the line connecting the center position of the microphone array and the center of the tire rim assembly is perpendicular to the microphone array, and the distance between the position of the microphone array and the outer rim sidewall plane of the tire under test is not less than the ratio of the square of the distance between the two adjacent microphones to the minimum wavelength of the sound source.

[0043] Furthermore, the microphone array adopts an N*N measurement point mesh structure. The mesh structure can be achieved using N*N microphones, or by moving a row or column of microphones N times at equal intervals along the row or column to achieve the N*N mesh structure. The mesh structure covers the size of the tire to be measured, the distance between adjacent microphone points is less than half of the minimum wavelength of the sound source, and the maximum size of the microphone array should be greater than half of the maximum wavelength of the sound source. When collecting noise, the microphone array is fixed at the front edge, rear edge, and side edge of the target tire. The microphone array is perpendicular to the front edge and rear edge of the target tire, and parallel to the side edge of the target tire.

[0044] As an optional implementation, assuming the target test tire is a 205 / 55R16 tire with four longitudinal grooves, when conducting tire noise testing in a semi-anechoic chamber, the tire test pressure is assumed to be 200 kPa, the test load is 4219 N, and the test speeds are set sequentially to 40 km / h, 60 km / h, and 80 km / h. The reference microphone is positioned at the left front of the rolling tire, using a 15*15 microphone matrix. This can be achieved by directly using a 15*15 microphone array, or by moving 15 microphones 14 times vertically to form a 15*15 microphone matrix, with a moving distance of 0.025 m. The LMS data acquisition system is used to sequentially collect tire noise data at the lateral, leading edge, and trailing edge of the rolling tire at these three speeds. During the lateral test, the distance between the microphone matrix and the outermost edge of the tire sidewall is 0.05 m; during the leading edge and trailing edge tests, the distance between the microphone matrix and the outermost edge of the tire sidewall is also 0.05 m. The test time is the same for each speed.

[0045] Step S204: Determine abnormal peak points on the tire noise frequency map, wherein the abnormal peak points are the peak points on the noise frequency map whose corresponding sound pressure levels are greater than a preset threshold.

[0046] It should be noted that this preset threshold can be adjusted by the tester. The purpose is to select points with high noise sound pressure levels, as these points correspond to high noise intensity and have a greater impact on the overall tire noise.

[0047] Step S206: Determine the noise source location of the target tire based on the abnormal peak points and the entire noise frequency range of the noise frequency map to obtain a tire noise location map, wherein the tire noise location map is used to represent the location where the target tire generates noise at different frequencies.

[0048] In step S206, the location of the first noise source at the frequency corresponding to the abnormal peak point is determined based on the abnormal peak point. The location of the first noise source indicates the location of tire noise generation determined by the frequency corresponding to the abnormal peak point on the tire noise frequency map. The location of the second noise source corresponding to the noise frequency segment on the tire noise frequency map is determined by octave band calculation. The location of the second noise source indicates the location of tire noise generation determined by the entire frequency segment on the tire noise frequency map. The tire side view, tire leading edge view, and tire trailing edge view of the target tire are determined, and the locations of the first and second noise sources are marked in the tire side view, tire leading edge view, and tire trailing edge view to obtain a tire noise location map. The tire noise location map is used to represent the location of noise generated by the target tire at different frequencies. Different frequencies refer to different specific frequencies or different frequency segments. The noise location map can represent the location of noise generated by the target tire at a specific frequency or the location of noise generated by the target tire within a certain frequency segment.

[0049] According to the embodiments of this application, the tire noise localization map is a cloud map of the tire noise sound pressure level at different frequencies using microphone array coordinates X, Y and corresponding marker points. The noise display range of the cloud map is very wide, but for the embodiments of this application, the focus is on the type of tire noise generation at the current frequency, so only the tire noise localization area with high sound pressure level needs to be considered.

[0050] Specifically, the calculation process for establishing the composite sound pressure field at the x, y, and z positions of the measuring point, with the center point of the tire contact plane as the origin of the coordinate system, is as follows:

[0051]

[0052] Where P R (x,y,z,ω) represents the sound pressure level at the spatial point (x,y,z), and SPP represents the self-power spectral density at the point (x,y,z). Let ω be the phase difference between point (x, y, z) and a reference point determined by the microphone, where ω is the angular frequency.

[0053] Transforming the above formula in the wavenumber domain yields:

[0054]

[0055] Among them, (k x k y ) represents the coordinates of any discrete point in the wavenumber domain, containing wavelength and microphone matrix point position x, y information, e is the natural base, and i is the imaginary unit; k x x and k y y is equal to 2π divided by λ, where λ is the wavelength and z0 is the measurement plane.

[0056] Using the backpropagation method, the sound pressure level distribution of the sound field parallel to the test plane can be obtained:

[0057]

[0058] Wherein, P(k) x k y , z) is the sound pressure level data of the plane at the current wavelength or frequency, which is a distance from the test plane z-z0, where z-z0 represents the distance from the current plane to the test plane z0.

[0059] For the measured noise wavenumber k0 = 2π / λ, when hour, otherwise

[0060] The above expression describes the propagation conditions of noise waves. If... That is, k xand k y If the sum of the squares of k is less than or equal to the square of k0, then the noise wave can propagate in the propagation direction. And when... At that time, k z The square of k is negative. z The value is imaginary, which means that the noise wave cannot propagate in the direction of propagation and the noise wave attenuates in the medium.

[0061] By performing an inverse spatial wavenumber domain transformation on the above formula, the sound pressure level P(x,y,z) at the specified plane location can be obtained, which means the sound pressure level at the noise source location corresponding to the frequency of the abnormal peak point can be obtained.

[0062] According to the embodiments of this application, the main and secondary noise sources of the octave band are further analyzed and determined. The angular frequency ω corresponding to the center frequency of the octave band, such as 1 / 3 octave or 1 / 12 octave, can be calculated. λ is the wavelength corresponding to the center frequency of the frequency band. Other calculation steps are the same as the calculation process of the abnormal peak point mentioned above. Finally, the tire noise location result under the frequency band is calculated according to the formula for the reverse propagation form.

[0063] Step S208: Determine the primary and secondary noise types of different frequencies of the target tire based on the tire noise location map;

[0064] In the technical solution provided in step S208, before determining the main and secondary noise types of different frequencies of the target tire based on the tire noise location map, it is also necessary to determine the tire noise generation mechanism table. The tire noise generation mechanism table includes multiple noise types, as well as the noise region and noise variation law corresponding to each noise type. The noise region is the area in the tire that generates each type of noise, and the noise variation law is the change law of the corresponding noise frequency and sound pressure level as the tire speed increases.

[0065] Specifically, tire noise sources include: tread pitch impact noise, tire structure noise, pumping effect, and organ pipe effect. Different tire noise sources are generated at different locations in the tire noise. For example, the pumping effect is mainly caused by the compression / injection of air into the lateral grooves, and the tire noise source is located at the end of the lateral grooves, the front edge of the tire contact patch, and the arc-shaped triangular area at the rear edge.

[0066] According to a specific embodiment of this application, the tire noise generation mechanism is shown in the following table:

[0067]

[0068] As an optional implementation, according to the embodiment provided in step S202, tire noise source localization analysis is performed at 1 / 3 octave band, with a noise sound pressure level range of 85-95 dB selected. Based on the tire noise generation mechanism table, the main and secondary noise types in this octave band are determined as shown in the table below:

[0069]

[0070] In the technical solution provided in step S208, based on the multiple tire noise generating areas marked in the tire noise location map, the area with the highest noise amplitude is the main tire noise generating area, and the area outside the main tire noise generating area is the secondary tire noise generating area; the tire noise type corresponding to the main tire noise generating area is determined as the main noise type according to the tire noise generating mechanism table; the tire noise type corresponding to the secondary tire noise generating area is determined as the secondary noise type according to the tire noise generating mechanism table.

[0071] According to the specific embodiment provided in step S202, for noise discrimination of abnormal peak points, a reference point microphone is selected, and the abnormal peak positions of interest to the reference microphone are marked, such as... Figure 3 As shown, X represents frequency, and Y1 represents sound pressure level. Selecting X as the two peak frequency positions of 952Hz and 965Hz corresponds to Y1 levels of 80dBa and 78dBa, respectively. Adjusting the sound source localization display range, the tire noise localization area is concentrated in the tire longitudinal groove, as shown... Figure 4 As shown, the main noise source at these two frequencies is determined to be the organ pipe effect generated by the tire longitudinal grooves; for noise discrimination in the frequency band, as... Figure 5 As shown, based on a 1 / 3 octave band, at a center frequency of 1000Hz, the main types of tire noise are pumping effect and organ pipe effect, with secondary types being tread pitch noise and tire structure vibration noise (mid-to-high frequency vibration); for the identification of frequency band noise, such as... Figure 3 As shown, the tire noise localization area is obtained with a center frequency band of 1000Hz based on 1 / 3 octave band. The main types of noise in this area are pumping effect and organ pipe effect, and the secondary types are tread pitch noise and tire structure vibration noise (mid-to-high frequency vibration).

[0072] In this embodiment, noise data of the target tire is collected to obtain a tire noise frequency map. Abnormal peak points are identified on the tire noise frequency map, where each abnormal peak point is a peak point on the noise frequency map whose corresponding sound pressure level is greater than a preset threshold. The location of the noise source of the target tire is determined based on the abnormal peak points and the entire noise frequency band of the noise frequency map, resulting in a tire noise location map. This tire noise location map represents the location where the target tire generates noise at different frequencies. The method of determining the primary and secondary noise types of the target tire at different frequencies based on the tire noise location map, and calculating the noise source location corresponding to the noise frequency, achieves the purpose of determining the tire noise type for each frequency band. This achieves the technical effect of improving noise at specific frequencies, thereby solving the technical problems of being unable to determine the relationship between frequency and noise type and being unable to improve noise in a specified frequency range due to the complex mechanism of tire noise generation.

[0073] This application provides a device for identifying tire noise types. Figure 6 This is a schematic diagram of the device, as shown below. Figure 6 As shown, the device includes: a first processing module 60, used to collect target tire noise data, establish a composite sound pressure field at the test point based on the collected data, and obtain a tire noise frequency map; a second processing module 62, used to calculate the frequency of abnormal peak points and the noise source location corresponding to the frequency band, and obtain a noise location map; and a third processing module 64, used to determine the main noise type and secondary noise type of different frequency noise by combining the noise location map and the tire noise generation mechanism table.

[0074] According to a specific embodiment of this application, it should be noted that the first processing module 60 is used to collect target tire noise data, establish a composite sound pressure field at the test point based on the collected data, and obtain a tire noise frequency diagram. The collection of target tire noise data includes: using a reference microphone and a microphone array as noise acquisition devices; the reference microphone is used to determine the initial phase point of the tire, and the initial phase point is used to calculate the composite sound pressure field; the microphone array is used to collect target tire noise data; furthermore, the microphone array collects noise data of the target tire at the front edge, rear edge, and side edge, respectively. The line connecting the center of the microphone array to the center of the tire rim assembly is perpendicular to the microphone array. The distance between the microphone array and the outer rim sidewall plane of the tire under test is not less than the ratio of the square of the distance between two adjacent microphones to the minimum wavelength of the sound source. The microphone array adopts a mesh structure arrangement, the mesh structure surface covers the size of the tire under test, the distance between adjacent microphone points is less than half the minimum wavelength of the sound source, and the maximum size of the microphone array should be greater than half the maximum wavelength of the sound source.

[0075] According to the above embodiment, the specific process of collecting target tire noise data using the first processing module 60 is as follows: The test tire is installed in the indoor drum test machine in a semi-anechoic chamber. The microphone array is positioned on the side of the tire during rolling, ensuring that the line connecting the center of the microphone array and the center of the tire rim assembly is perpendicular to the microphone array. The distance between the microphone array and the outer sidewall plane of the tire under test is not less than the ratio of the square of the distance between the two nearest microphones to the minimum wavelength of the sound source. The reference microphone is positioned at the leading edge of the tire under test. The required test load is applied to the tire, and tire noise data is collected for a period of time at three different test speeds using tire data acquisition software. The microphone array position is then changed, with the microphone array positioned at the leading edge of the tire during rolling. The microphone array is positioned perpendicular to the leading edge of the tire's rolling path, with the line connecting the center of the microphone array to the center of the tire tread perpendicular to the microphone array. Simultaneously, the required test load is applied to the tire. Tire noise data is collected for the same duration at the same test speed as the tire sidewall noise data collection, using tire data acquisition software. The microphone array position is then changed, positioned perpendicular to the trailing edge of the tire's rolling path, with the line connecting the center of the microphone array to the center of the tire tread perpendicular to the microphone array. The required test load is applied to the tire, and tire noise data is collected for the same duration at the same test speed as the tire sidewall noise data collection, using tire data acquisition software.

[0076] In the tire noise frequency diagram, the first coordinate value of any point represents the frequency information corresponding to that point, and the second coordinate value of any point represents the noise information corresponding to that point.

[0077] According to the above embodiment, the second processing module 62 is used to calculate the noise source location corresponding to the abnormal peak point frequency and frequency band to obtain a noise location map; calculate the noise source location corresponding to the frequency of the abnormal peak, calculate the noise source location within the frequency band by octave, and the noise location map is used to represent the location where the target tire generates noise at different frequencies;

[0078] The second processing module 62 determines the location of the noise source based on the abnormal peak point and the noise frequency segment of the tire noise frequency map to obtain the tire noise location map. This includes: determining the location of the first noise source at the frequency corresponding to the abnormal peak point, where the first noise source location represents the location of tire noise generation determined by the frequency corresponding to the abnormal peak point on the tire noise frequency map; determining the location of the second noise source corresponding to the noise frequency segment of the tire noise frequency map through octave band calculation, where the second noise source location represents the location of tire noise generation determined by the entire frequency segment on the tire noise frequency map; determining the tire side view image, tire leading edge image, and tire trailing edge image of the target tire, and obtaining the tire noise location map by marking the first noise source location and the second noise source location in the tire side view image, tire leading edge image, and tire trailing edge image.

[0079] According to the above embodiment, the third processing module 64 is used to determine the noise type of different frequency noise by combining the noise localization map and the tire noise generation mechanism table; wherein, before determining the noise type of different frequency noise, the tire noise generation mechanism table must be determined first. The tire noise generation mechanism table includes multiple noise types, as well as the noise area and noise change law corresponding to each noise type. The noise area is the area in the tire that generates each type of noise, and the noise change law is the change law of the corresponding noise frequency and sound pressure level as the tire speed increases.

[0080] Specifically, the third processing module 64 determines the location and corresponding noise type of tire noise based on the noise generation area in the tire noise location map obtained after adjusting the sound pressure level display range. The area with the highest noise amplitude is the main tire noise generation area, and the area outside the main tire noise generation area is the secondary tire noise generation area. The tire noise type corresponding to the main tire noise generation area is determined as the main noise type according to the tire noise generation mechanism table. The tire noise type corresponding to the secondary tire noise generation area is determined as the secondary noise type according to the tire noise generation mechanism table.

[0081] It should be noted that each module in the above-mentioned tire noise type identification device can be a program module (e.g., a set of program instructions to implement a certain function) or a hardware module. For the latter, it can be manifested in the following forms, but is not limited to them: each of the above modules is manifested as a processor, or the functions of each of the above modules are implemented by a processor.

[0082] According to an embodiment of this application, a non-volatile storage medium is also provided, which stores a program. During program execution, the device containing the non-volatile storage medium performs the following method for determining tire noise types: collecting noise data of a target tire to obtain a tire noise frequency map; identifying abnormal peak points on the tire noise frequency map, wherein the abnormal peak points are peak points on the noise frequency map where the corresponding sound pressure level is greater than a preset threshold; determining the noise source location of the target tire based on the abnormal peak points and the entire noise frequency band of the noise frequency map to obtain a tire noise location map, wherein the tire noise location map is used to represent the location where the target tire generates noise at different frequencies; and determining the primary and secondary noise types of different frequency noises of the target tire based on the tire noise location map.

[0083] According to an embodiment of this application, an electronic device is also provided, which includes a memory and a processor. The processor is used to run a program stored in the memory, wherein the program executes the following method for identifying the main generation mechanism of tire noise: collecting noise data of a target tire to obtain a tire noise frequency map of the target tire; determining abnormal peak points on the tire noise frequency map, wherein the abnormal peak points are peak points on the noise frequency map whose corresponding sound pressure level is greater than a preset threshold; determining the noise source location of the target tire based on the abnormal peak points and the entire noise frequency range of the noise frequency map to obtain a tire noise location map, wherein the tire noise location map is used to represent the location where the target tire generates noise at different frequencies; and determining the main noise type and secondary noise type of the target tire at different frequencies based on the tire noise location map.

[0084] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0085] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between units or modules may be electrical or other forms.

[0086] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0087] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0088] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to related technologies, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard drive, magnetic disk, or optical disk.

[0089] The above are merely preferred embodiments of this application. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for determining the type of tire noise, characterized in that, include: Noise data of the target tire is collected to obtain the tire noise frequency diagram of the target tire; Identify abnormal peak points on the tire noise frequency map, wherein the abnormal peak points are peak points on the noise frequency map whose corresponding sound pressure levels are greater than a preset threshold. The location of the noise source of the target tire is determined based on the abnormal peak point and the entire noise frequency range of the noise frequency map, resulting in a tire noise location map, wherein the tire noise location map is used to represent the location where the target tire generates noise at different frequencies; A tire noise generation mechanism table is established, wherein the tire noise generation mechanism table includes multiple noise types, and the noise region and noise variation law corresponding to each of the multiple noise types. The noise region is the area in the tire that generates the noise of each noise type, and the noise variation law is the change law of the corresponding noise frequency and sound pressure level as the tire speed increases. Based on the tire noise location map and the tire noise generation mechanism table, determine the primary and secondary noise types of different frequencies of the target tire.

2. The method for determining tire noise type according to claim 1, characterized in that, The step of determining the noise source location based on the abnormal peak point and the noise frequency range of the tire noise frequency map to obtain the tire noise location map includes: Based on the abnormal peak point, determine the location of the first noise source at the frequency corresponding to the abnormal peak point; The location of the second noise source corresponding to the noise frequency segment of the tire noise frequency diagram is determined by octave band calculation; The tire side view, tire leading edge view, and tire trailing edge view of the target tire are determined, and the positions of the first noise source and the second noise source are marked in the tire side view, tire leading edge view, and tire trailing edge view to obtain a tire noise localization map.

3. The method for determining tire noise type according to claim 2, characterized in that, The first noise source location indicates the location of tire noise generation determined based on the frequency corresponding to the abnormal peak point on the tire noise frequency diagram. The second noise source location indicates the location where tire noise is generated, determined based on the entire frequency band on the tire noise frequency diagram.

4. The method for determining tire noise type according to claim 1, characterized in that, The step of determining the primary and secondary noise types of different frequencies of the target tire based on the tire noise location map includes: The tire noise location map displays noise generation areas of different amplitudes based on the adjusted sound pressure level display range. Based on the multiple tire noise generating areas marked in the tire noise location map, the area with the highest noise amplitude is the main tire noise generating area, and the area outside the main tire noise generating area is the secondary tire noise generating area. Based on the tire noise generation mechanism table, the tire noise type corresponding to the main tire noise generation area is determined as the main noise type. Based on the tire noise generation mechanism table, the tire noise type corresponding to the secondary tire noise generation area is determined to be the secondary noise type.

5. The method for determining tire noise type according to claim 1, characterized in that, The first coordinate value of any point in the tire noise frequency diagram represents the frequency information corresponding to that point, and the second coordinate value of that point represents the noise information corresponding to that point.

6. The method for determining tire noise type according to claim 1, characterized in that, The noise data collected from the target tire includes: The target tire is kept rotating at the first test speed; While the target tire is rotating at the first test speed, noise data are collected from the front edge, rear edge, and side of the target tire, respectively. The data collection time for the noise data collection from the front edge, rear edge, and side of the target tire is a preset time. The test speed of the target tire is changed to a second test speed, and noise data of the front edge, rear edge and side edge of the target tire are collected while the target tire is rotating at the second test speed. The data collection time for the noise data of the front edge, rear edge and side edge of the target tire is a preset time. The test speed of the target tire is changed to a third test speed, and noise data of the front edge, rear edge and side edge of the target tire are collected while the target tire is rotating at the third test speed. The data collection time for the noise data of the front edge, rear edge and side edge of the target tire is a preset time.

7. The method for determining tire noise type according to claim 1, characterized in that, The noise data collected from the target tire includes: A reference microphone and microphone array were used as noise acquisition devices. The reference microphone is used to determine the initial phase point of the tire, wherein the initial phase point is used to calculate the composite sound pressure field; The microphone array is used to collect noise data of the target tire.

8. The method for determining tire noise type according to claim 7, characterized in that, The microphone array collects noise data of the target tire at the front edge, rear edge, and side edge of the target tire, respectively. The center of the microphone array is perpendicular to the line connecting the center of the tire and rim assembly. The distance between the microphone array and the sidewall plane of the outer rim of the tire under test is not less than the ratio of the square of the distance between the two nearest microphones to the minimum wavelength of the sound source. The microphone array is arranged in a mesh structure, the mesh structure surface covers the size of the tire to be tested, the distance between adjacent microphone points is less than half the minimum wavelength of the sound source, and the maximum size of the microphone array should be greater than half the maximum wavelength of the sound source.

9. A tire noise type identification device, characterized in that, include: The first processing module is used to collect target tire noise data, establish a composite sound pressure field at the test point based on the collected data, and obtain a tire noise frequency diagram. The second processing module is used to calculate the frequency of abnormal peak points and the location of noise sources corresponding to frequency bands, and to obtain a noise localization map. The third processing module is used to determine the tire noise generation mechanism table, wherein the tire noise generation mechanism table includes multiple noise types, and the noise region and noise variation law corresponding to each of the multiple noise types. The noise region is the area in the tire that generates the noise of each noise type. The noise variation law is the change law of the corresponding noise frequency and sound pressure level as the tire speed increases. Combining the noise location map and the tire noise generation mechanism table, the main noise type and secondary noise type of different frequencies are determined.

10. A non-volatile storage medium, characterized in that, The non-volatile storage medium stores a program, wherein when the program is executed, it controls the device containing the non-volatile storage medium to perform the tire noise type determination method according to any one of claims 1 to 8.

11. An electronic device, characterized in that, include: A memory and a processor, the processor being configured to run a program stored in the memory, wherein the program, when running, executes the method for determining the type of tire noise as described in any one of claims 1 to 8.

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