Vehicle wind noise analysis method, device and equipment and storage medium

By obtaining the wind noise audio of the test wind speed and yaw angle in the preset experimental equipment, and combining the road test data to generate the first and second wind noise simulation data, the accurate simulation problem of vehicle transient wind noise response is solved, and more accurate wind noise analysis is achieved without relying on the turbulence generation equipment.

CN120369101APending Publication Date: 2025-07-25GUANGZHOU AUTOMOBILE GROUP CO LTD
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Patent Information

Application Number
CN202510345162.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-21
Publication Date
2025-07-25

AI Technical Summary

Technical Problem

The prior art is difficult to accurately simulate and analyze the transient wind noise response of vehicles in real wind fields, especially without relying on complex turbulence generation equipment.

Method used

By obtaining test wind speed, test yaw angle and road test data, combined with the wind noise sound audio in the preset experimental equipment, the first wind noise simulation data and the second wind noise simulation data are generated, and the transient wind noise is objective and subjective evaluation is carried out.

Benefits of technology

Without relying on turbulence generation equipment, the vehicle's wind noise response to the real wind field can be more accurately simulated and analyzed, and the transient wind noise evaluation is more closely related to the actual working conditions.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention provides a vehicle wind noise analysis method and device, equipment and a storage medium. A test wind speed, a test yaw angle and road test data corresponding to a target vehicle are acquired; acquiring a wind noise audio of the target vehicle in preset experimental equipment according to the test wind speed and the test yaw angle; obtaining first wind noise simulation data corresponding to the target vehicle according to the test wind speed, the test yaw angle, the wind noise audio and the road test data; generating second wind noise simulation data corresponding to the target vehicle according to the road test data and the wind noise audio; and calculating transient wind noise objective evaluation corresponding to the target vehicle according to the first wind noise simulation data, and obtaining corresponding transient wind noise subjective evaluation according to the second wind noise simulation data. According to the embodiment of the invention, on the premise of not depending on complex turbulence generation equipment, the wind noise response of the vehicle to the real wind field can be simulated and analyzed more accurately.
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Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of data analysis, and in particular, to a method, device, equipment, and storage medium for analyzing vehicle wind noise. Background Art

[0002] With the continuous progress of automotive wind noise development technology, through means such as wind tunnel tests, road tests, and vehicle-level CAE (Computer-Aided Engineering) simulations, the comfort of vehicle driving and riding can be effectively improved in a steady-state flow field. However, in a transient flow field, when a vehicle is driving on the road, it will be affected by unstable airflows, resulting in fluctuations in wind noise and thus causing gust feelings. Even if two vehicle models perform similarly in a steady-state flow field, due to differences in the transient flow field, there may be significant differences in the actual wind noise experience during real-road driving and riding.

[0003] In related technologies, a turbulence generating device can simulate a flow field with a turbulence intensity of 0-10% in a wind tunnel to reproduce the real road flow field environment. However, the turbulence characteristics generated by this method are closely related to the swing frequency and rotation angle of the turbulence generating device (such as an airfoil). The turbulence fluctuation frequency generated by it can usually only be fixed at a certain specific frequency, and due to hardware limitations, there is an upper limit to the swing frequency, so the complex characteristics of the real road wind field cannot be fully reproduced.

[0004] Therefore, how to more accurately simulate and analyze the wind noise response of a vehicle to a real wind field has become an urgent problem to be solved in the current field. Summary of the Invention

[0005] The embodiments of the present application provide a method, device, equipment, and storage medium for analyzing vehicle wind noise, aiming to improve the problem of how to more accurately simulate and analyze the wind noise response of a vehicle to a real wind field.

[0006] To solve the above problems, the embodiments of the present application disclose a method for analyzing vehicle wind noise, the method comprising:

[0007] Obtain the test wind speed, test yaw angle, and road test data corresponding to the target vehicle;

[0008] Collect the wind noise audio of the target vehicle in a preset experimental device according to the test wind speed and the test yaw angle;

[0009] Obtain the first wind noise simulation data corresponding to the target vehicle according to the test wind speed, the test yaw angle, the wind noise audio, and the road test data;

[0010] Generate the second wind noise simulation data corresponding to the target vehicle according to the road test data and the wind noise audio;

[0011] Calculate the objective evaluation of the transient wind noise corresponding to the target vehicle according to the first wind noise simulation data, and obtain the subjective evaluation of the transient wind noise corresponding thereto according to the second wind noise simulation data.

[0012] In the embodiments of the present application, the test wind speed, the test yaw angle, and the road test data corresponding to the target vehicle are obtained; the wind noise audio of the target vehicle in a preset experimental device is collected according to the test wind speed and the test yaw angle; the first wind noise simulation data corresponding to the target vehicle is obtained according to the test wind speed, the test yaw angle, the wind noise audio, and the road test data; the second wind noise simulation data corresponding to the target vehicle is generated according to the road test data and the wind noise audio; the objective evaluation of the transient wind noise corresponding to the target vehicle is calculated according to the first wind noise simulation data, and the subjective evaluation of the transient wind noise corresponding thereto is obtained according to the second wind noise simulation data. The embodiments of the present application combine the wind noise audio at the test wind speed and the test yaw angle in the preset experimental device with the road test data measured on the real road to fit the wind noise response of the real wind, and the transient wind noise performance of the vehicle can be studied without relying on a turbulence generating device. Among them, the first wind noise simulation data is based on the input of the real road wind field, making the simulation result closer to the actual working condition and can be used for the objective evaluation of the transient wind noise; at the same time, the second wind noise simulation data can be used for the subjective evaluation of the transient wind noise. The embodiments of the present application can more accurately simulate and analyze the wind noise response of the vehicle to the real wind field without relying on complex turbulence generating devices.

[0013] Optionally, before obtaining the test wind speed, the test yaw angle, and the road test data corresponding to the target vehicle, the method includes:

[0014] When the target vehicle is traveling on a preset road, collect the real wind speed corresponding to the target vehicle;

[0015] Calculate the real yaw angle corresponding to the target vehicle according to the real wind speed;

[0016] Use the real wind speed and the real yaw angle as the road test data corresponding to the target vehicle.

[0017] The embodiments of the present application collect the road test data on the real road for subsequent calculation of the first wind noise simulation data, making the first wind noise simulation data closer to the real wind noise response.

[0018] Optionally, the obtaining the first wind noise simulation data corresponding to the target vehicle according to the test wind speed, the test yaw angle, the wind noise audio, and the road test data includes:

[0019] Generate a wind noise response function based on the measured wind speed, the measured yaw angle, and the wind noise audio;

[0020] Use the wind noise response function to calculate the true wind speed and the true yaw angle to obtain the first wind noise simulation data.

[0021] In the embodiment of the present application, a wind noise response function is generated based on the measured wind speed, the measured yaw angle, and the wind noise audio collected in a preset experimental device, and the road test data is input into the wind noise response function to calculate the first wind noise simulation data, so that the simulation result is closer to the actual working condition. Compared with directly testing the noise response on the road, the embodiment of the present application can unify the road inflow conditions and exclude road noise, thereby realizing the quantitative analysis of the transient wind noise level.

[0022] Optionally, the step of collecting the wind noise audio of the target vehicle in the preset experimental device according to the measured wind speed and the measured yaw angle includes:

[0023] Obtain a preset wind speed interval, a first yaw angle corresponding to the measured yaw angle, and a second yaw angle corresponding to the measured yaw angle;

[0024] Determine the current measured wind speed from the measured wind speed according to the preset wind speed interval;

[0025] During the process that the measured yaw angle uniformly changes from the first yaw angle to the second yaw angle, collect the current wind noise audio of the target vehicle at the current measured wind speed;

[0026] Associate and store the current wind noise audio, the current measured wind speed, and the measured yaw angle.

[0027] In the embodiment of the present application, the current wind noise audio of the target vehicle at different wind speeds and different yaw angles is collected in the preset experimental device for subsequent calculation of the first wind noise simulation data and the second wind noise simulation data, thereby avoiding the use of complex turbulence generation equipment.

[0028] Optionally, the method further includes:

[0029] Obtain the acquisition time when the measured yaw angle uniformly changes from the first yaw angle to the second yaw angle and a preset time interval;

[0030] Divide the current wind noise audio corresponding to the current measured wind speed according to the preset time interval to obtain a current audio segment, and the current audio segment has a corresponding current yaw angle;

[0031] Associate and store the current audio segment, the current measured wind speed, and the current yaw angle.

[0032] In an embodiment of the present application, the current wind noise audio of the target vehicle at different wind speeds and different yaw angles is collected in a preset experimental device for subsequent generation of second wind noise simulation data.

[0033] Optionally, generating the second wind noise simulation data corresponding to the target vehicle according to the road test data and the wind noise audio includes:

[0034] Obtaining a target current test wind speed corresponding to the true wind speed and a target current yaw angle corresponding to the true yaw angle;

[0035] Determining a corresponding target current audio segment according to the target current test wind speed and the target current yaw angle;

[0036] Synthesizing the target current audio segment to obtain the second wind noise simulation data.

[0037] In an embodiment of the present application, the second wind noise simulation data is obtained by synthesizing a corresponding target current audio segment according to a target current test wind speed corresponding to the true wind speed and a target current yaw angle corresponding to the true yaw angle, so that the second wind noise simulation data does not need to be collected on a real road, realizing unified road inflow conditions and excluding road noise.

[0038] Optionally, calculating the transient wind noise objective evaluation corresponding to the target vehicle according to the first wind noise simulation data includes:

[0039] Calculating a wind noise modulation degree according to the first wind noise simulation data;

[0040] Obtaining the transient wind noise objective evaluation corresponding to the target vehicle according to the wind noise modulation degree.

[0041] In an embodiment of the present application, the first wind noise simulation data can be used to calculate the wind noise modulation degree, and the transient wind noise objective evaluation corresponding to the target vehicle is obtained according to the wind noise modulation degree, so that more accurate target wind noise analysis results can be obtained without relying on complex turbulence generation equipment.

[0042] An embodiment of the present application also discloses an analysis device for vehicle wind noise, and the device includes:

[0043] A data acquisition module, configured to acquire a test wind speed, a test yaw angle, and road test data corresponding to a target vehicle;

[0044] An audio acquisition module, configured to acquire the wind noise audio of the target vehicle in a preset experimental device according to the test wind speed and the test yaw angle;

[0045] The first simulation module is configured to obtain the first wind noise simulation data corresponding to the target vehicle according to the test wind speed, the test yaw angle, the wind noise audio, and the road test data;

[0046] The second simulation module is configured to generate the second wind noise simulation data corresponding to the target vehicle according to the road test data and the wind noise audio;

[0047] The data analysis module is configured to calculate the transient wind noise objective evaluation corresponding to the target vehicle according to the first wind noise simulation data, and obtain the corresponding transient wind noise subjective evaluation according to the second wind noise simulation data.

[0048] An embodiment of the present application also discloses an electronic device, including a processor and a memory, wherein the memory is used to store a computer program; the processor is used to execute the program stored on the memory to implement one or more of the methods in the embodiments of the present application.

[0049] An embodiment of the present application also discloses a computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by a processor, one or more of the methods in the embodiments of the present application are implemented. Description of the Drawings

[0050] Figure 1 is a flowchart of a method for analyzing vehicle wind noise provided by an embodiment of the present application;

[0051] Figure 2 is a schematic diagram of the true wind speed curve of a method for analyzing vehicle wind noise provided by an embodiment of the present application;

[0052] Figure 3 is a schematic diagram of the true yaw angle curve of a method for analyzing vehicle wind noise provided by an embodiment of the present application;

[0053] Figure 4 is a schematic diagram of the wind noise response function of a method for analyzing vehicle wind noise provided by an embodiment of the present application;

[0054] Figure 5 is a schematic diagram of the curve of the first wind noise simulation data of a method for analyzing vehicle wind noise provided by an embodiment of the present application;

[0055] Figure 6 is a flowchart of the transient wind noise objective evaluation of a method for analyzing vehicle wind noise provided by an embodiment of the present application;

[0056] Figure 7 is a flowchart of the transient wind noise subjective evaluation of a method for analyzing vehicle wind noise provided by an embodiment of the present application;

[0057] Figure 8 It is a structural diagram of an analysis device for vehicle wind noise provided by an embodiment of the present application;

[0058] Figure 9 It is a structural diagram of an electronic device provided by an embodiment of the present application. Specific embodiments

[0059] In order to make the technical problems, technical solutions and beneficial effects solved by the present application more clear, the present application will be further described in detail below in conjunction with embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0060] Term description

[0061] In the embodiments of the present application, a steady-state wind tunnel refers to an experimental device used to simulate a stable airflow environment and study the aerodynamic characteristics of an object under a constant wind speed.

[0062] The noise response sound pressure level (Sound Pressure Level, SPL) is a physical quantity used to measure the intensity of noise, usually expressed in decibels (dB).

[0063] The wind noise response function is a one-to-one correspondence curve established based on the noise response sound pressure levels corresponding to the test wind speed, test yaw angle and wind noise audio in a preset experimental device.

[0064] The transient wind noise objective evaluation is to analyze and evaluate the characteristics of wind noise within a short time through quantization indexes. In the embodiments of the present application, it is to analyze and evaluate the characteristics of the wind noise corresponding to the target vehicle within a short time through the first wind noise simulation data.

[0065] The transient wind noise subjective evaluation is to evaluate the characteristics of wind noise through human auditory perception and subjective feelings. In the embodiments of the present application, it is to evaluate the characteristics of the second wind noise simulation data through human auditory perception and subjective feelings.

[0066] The wind noise modulation degree is a parameter describing the modulation degree of wind noise on a signal, referring to the influence degree of wind noise on a signal, which is manifested as the fluctuation of the signal amplitude or the change of the spectrum.

[0067] A method for analyzing vehicle wind noise provided by an embodiment of the present application includes: obtaining a test wind speed, a test yaw angle, and road test data corresponding to a target vehicle; collecting wind noise audio of the target vehicle in a preset experimental device according to the test wind speed and the test yaw angle; obtaining first wind noise simulation data corresponding to the target vehicle according to the test wind speed, the test yaw angle, the wind noise audio, and the road test data; generating second wind noise simulation data corresponding to the target vehicle according to the road test data and the wind noise audio; calculating an objective evaluation of the transient wind noise corresponding to the target vehicle according to the first wind noise simulation data, and obtaining a subjective evaluation of the transient wind noise corresponding thereto according to the second wind noise simulation data.

[0068] The embodiment of the present application combines the wind noise audio of a preset experimental device at a test wind speed and a test yaw angle with the road test data measured on a real road to fit the wind noise response of the real wind, so as to study the transient wind noise performance of the vehicle without relying on a turbulence generation device. Among them, since the first wind noise simulation data is based on the input of the real road wind field, the simulation result is closer to the actual working condition and can be used for the objective evaluation of the transient wind noise. At the same time, compared with directly testing the noise response on the road, the second wind noise simulation data generated according to the road test data and the wind noise audio can unify the road inflow conditions and exclude road noise, and can be used for the subjective evaluation of the transient wind noise. The embodiment of the present application can more accurately simulate and analyze the wind noise response of the vehicle to the real wind field without relying on complex turbulence generation devices.

[0069] Embodiment 1

[0070] An embodiment of the present application provides a method for analyzing vehicle wind noise. Please refer to Figure 1 , including the following steps:

[0071] S110: Obtain a test wind speed, a test yaw angle, and road test data corresponding to a target vehicle;

[0072] S120: Collect wind noise audio of the target vehicle in a preset experimental device according to the test wind speed and the test yaw angle;

[0073] S130: Obtain first wind noise simulation data corresponding to the target vehicle according to the test wind speed, the test yaw angle, the wind noise audio, and the road test data;

[0074] S140: Generate second wind noise simulation data corresponding to the target vehicle according to the road test data and the wind noise audio;

[0075] S150: Calculate the objective evaluation of the transient wind noise corresponding to the target vehicle based on the first wind noise simulation data, and obtain the subjective evaluation of the transient wind noise corresponding to the second wind noise simulation data.

[0076] In an embodiment of the present application, in step S110, first set the test wind speed and test yaw angle. In one example, the test wind speed can be a wind speed of 100 - 140 km / h (kilometers per hour), and a group of wind noise audio is measured for every 1 km / h, with a total of 41 groups of wind noise audio; the test yaw angle can be that the yaw angle of the target vehicle rotates uniformly from -10° to +10° at each group of test wind speeds, and the wind noise audio of this group of test wind speeds is collected during the process of the test yaw angle rotating uniformly from -10° to +10°. The above settings of the test wind speed and test yaw angle are only examples, and the embodiments of the present application do not impose any restrictions on the specific values and setting methods of the test wind speed and test yaw angle.

[0077] In step S110, it is also necessary to obtain the road test data corresponding to the target vehicle. In one embodiment, the road test data corresponding to the target vehicle includes the real wind speed and real yaw angle measured on a real road. The test wind speed, test yaw angle, and the road test data corresponding to the target vehicle obtained in step S110 are used for the subsequent acquisition of wind noise audio in a preset experimental device and the determination of wind noise simulation data.

[0078] In step S120, collect the wind noise audio of the target vehicle in the preset experimental device according to the test wind speed and test yaw angle set in step S110, thereby obtaining several groups of wind noise audio. In the embodiments of the present application, the preset experimental device can be a steady-state wind tunnel, and further can be an aerodynamic-acoustic wind tunnel test area, so that the embodiments of the present application can realize the research on the transient wind noise performance of the vehicle without relying on a turbulence generation device.

[0079] In one embodiment, the target vehicle can be placed in the aerodynamic-acoustic wind tunnel test area and a microphone can be arranged at the outer ear of the front row seat headrest. The noise measurement point is set as a conventional outer ear measurement point in wind noise testing, and the wind noise audio of the target vehicle in the preset experimental device is collected according to the test wind speed and test yaw angle set in step S110. The outer ear measurement point refers to a specific measurement point used to measure the influence of wind noise on the ear position of the driver or passenger during a wind tunnel experiment or actual driving of a vehicle or device.

[0080] In step S130, first, a wind noise response function is generated based on the measured wind speed, measured yaw angle, and the noise response sound pressure level corresponding to the wind noise audio. Then, the road test data is substituted into the wind noise response function, so that the first wind noise simulation data corresponding to the target vehicle can be obtained, that is, the simulation data that can be used for the objective evaluation of transient wind noise. In the embodiment of the present application, there is no need to rely on a turbulence generating device, nor directly collect the wind noise audio of the vehicle on a real road. According to the measured wind speed, measured yaw angle, and wind noise audio obtained in the steady-state wind tunnel, as well as the road test data collected on the real road, the first wind noise simulation data corresponding to the target vehicle on the real road can be obtained, avoiding the problem that the fluctuation frequencies of the turbulence generating device and the real wind on the road are inconsistent, and also avoiding the problems of different on-road inflow conditions and road noise when directly collecting on the real road, and can more accurately simulate and analyze the wind noise response of the vehicle to the real wind field.

[0081] In step S140, since the wind noise audio corresponding to the measured wind speed and measured yaw angle has been collected in the steady-state wind tunnel, the wind noise audio corresponding to the real wind speed and real yaw angle in the road test data can be obtained. After splicing and synthesizing, the second wind noise simulation data corresponding to the target vehicle on the real road can be obtained, that is, the simulation data that can be used for the subjective evaluation of transient wind noise. In the embodiment of the present application, there is no need to directly collect the wind noise audio of the vehicle on the real road. According to the wind noise audio collected in the steady-state wind tunnel and the road test data collected on the real road, the second wind noise simulation data corresponding to the target vehicle on the real road can be synthesized, avoiding the problems of different on-road inflow conditions and road noise when directly collecting on the real road, and can more accurately simulate and analyze the wind noise response of the vehicle to the real wind field.

[0082] In step S150, the wind noise of the target vehicle can be analyzed based on the obtained first wind noise simulation data and second wind noise simulation data, so as to obtain the target wind noise analysis result. Specifically, the objective evaluation of the transient wind noise corresponding to the target vehicle is calculated according to the first wind noise simulation data, and the subjective evaluation of the transient wind noise corresponding thereto is obtained according to the second wind noise simulation data, so as to obtain the target wind noise analysis result.

[0083] In one embodiment, the first wind noise simulation data can be further used for the analysis of objective values such as the modulation degree and fluctuation degree of wind noise, so as to obtain the transient wind noise level of the actual vehicle. Specifically, through software such as MATLAB (a numerical calculation and data analysis software) and HEAD (an acoustic measurement and analysis software), the modulation degree can be calculated according to the response of the noise changing with time in the first wind noise simulation data, so as to compare the modulation degrees under different working conditions. The smaller the modulation degree, the better the stability, that is, the better the transient wind noise performance. In another embodiment, the tester can subjectively score the audio of the second wind noise simulation data, so as to form a subjective evaluation of the wind noise of the second wind noise simulation data of the target vehicle according to the subjective score. The embodiments of the present application do not impose any restrictions on the specific analysis methods of the first wind noise simulation data and the second wind noise simulation data, and those skilled in the art can use the first wind noise simulation data and the second wind noise simulation data for the rest of the transient wind noise evaluation.

[0084] In the embodiments of the present application, the test wind speed, test yaw angle and road test data corresponding to the target vehicle are obtained; the wind noise audio of the target vehicle in the preset experimental equipment is collected according to the test wind speed and test yaw angle; the first wind noise simulation data corresponding to the target vehicle is obtained according to the test wind speed, test yaw angle, wind noise audio and road test data; the second wind noise simulation data corresponding to the target vehicle is generated according to the road test data and wind noise audio; the transient wind noise objective evaluation corresponding to the target vehicle is calculated according to the first wind noise simulation data, and the transient wind noise subjective evaluation corresponding thereto is obtained according to the second wind noise simulation data. The embodiments of the present application combine the wind noise audio at the test wind speed and test yaw angle by means of the preset experimental equipment with the road test data measured on the real road to fit the wind noise response of the real wind, and the transient wind noise performance of the vehicle can be studied without relying on a turbulence generating device. Among them, the first wind noise simulation data is based on the input of the real road wind field, so that the simulation result is closer to the actual working condition and can be used for the objective evaluation of transient wind noise; at the same time, the second wind noise simulation data can be used for the subjective evaluation of transient wind noise. The embodiments of the present application can more accurately simulate and analyze the wind noise response of the vehicle to the real wind field without relying on complex turbulence generating devices.

[0085] In an alternative embodiment of the present application, before step S110, the method includes:

[0086] When the target vehicle is driving on a preset road, collect the real wind speed corresponding to the target vehicle;

[0087] According to the real wind speed, calculate the real yaw angle corresponding to the target vehicle;

[0088] Take the real wind speed and the real yaw angle as the road test data corresponding to the target vehicle.

[0089] In this embodiment, road test data can be collected on a real road. Specifically, the real road can be an asphalt road, and a cobra speed probe can be installed at the rear end of the hood of the target vehicle. When the target vehicle is traveling on a preset road, the real wind speed corresponding to the target vehicle is collected. In one embodiment, it can be the curves of the X and Y direction speeds of the real wind changing with time, U x (t), U Y (t). The wind direction is based on the vehicle coordinate system. The X direction is the front-rear direction of the vehicle, and the Y direction is the left-right direction of the vehicle.

[0090] Referring to Figure 2 , it is a schematic diagram of the real wind speed curve of the vehicle wind noise analysis method provided by an embodiment of the present application.

[0091] As Figure 2 shown, Figure 2 is the curve of the wind speed of a certain model target vehicle in the X direction changing with time, U x (t), that is, the curve corresponding to the X direction of the real wind speed corresponding to the target vehicle.

[0092] After that, the real yaw angle corresponding to the target vehicle is calculated according to the real wind speed. In one embodiment, the real yaw angle corresponding to the target vehicle can be calculated according to formula (1). The real wind speed and the real yaw angle are used as the road test data corresponding to the target vehicle.

[0093] θ(t) = arctan[U Y (t) / U x (t)] (1)

[0094] where θ(t) is the real yaw angle corresponding to the target vehicle, U Y (t) is the real wind speed in the Y direction corresponding to the target vehicle, and U X (t) is the real wind speed in the X direction corresponding to the target vehicle.

[0095] Referring to Figure 3 , it is a schematic diagram of the real yaw angle curve of the vehicle wind noise analysis method provided by an embodiment of the present application.

[0096] As Figure 3 shown, the change curve of the real yaw angle θ(t) of the target vehicle can be calculated according to the change of the real wind speed collected on the preset road.

[0097] In the embodiment of the present application, real wind speed data is collected on a real road, and the real yaw angle of the target vehicle is calculated according to the real wind speed for use in subsequent simulation data calculations, without directly collecting the wind noise audio on the real road.

[0098] In an alternative embodiment of the present application, step S130 further includes:

[0099] Generating a wind noise response function based on the measured wind speed, the measured yaw angle, and the wind noise audio;

[0100] Calculating the true wind speed and the true yaw angle using the wind noise response function to obtain the first wind noise simulation data.

[0101] Referring to Figure 4 , which is a schematic diagram of the wind noise response function of the vehicle wind noise analysis method provided by an embodiment of the present application.

[0102] In this embodiment, after the measured wind speed, the measured yaw angle, and the wind noise audio are collected in step S120, the data measured in the experiment can be stored in the following form. The rows represent different measured wind speeds v (from 100 km / h to 140 km / h, a total of 41 groups), and the columns represent the measured yaw angles θ (changing uniformly from -10° to +10°, divided according to a preset step size Δθ, such as 1° or other uniformly distributed preset step sizes), so as to obtain the sound pressure level responses of the wind noise audio corresponding to different measured wind speeds and different measured yaw angles, and store the sound pressure level response SPL(v,θ) corresponding to the measured wind speed and the measured yaw angle in each cell. As Figure 4 shown, by interpolating or surface fitting the discrete data points, a continuous surface function SPL(v,θ), that is, the wind noise response function, can be generated.

[0103] Referring to Figure 5 , which is a schematic curve diagram of the first wind noise simulation data of the vehicle wind noise analysis method provided by an embodiment of the present application.

[0104] After obtaining the wind noise response function, substitute the true wind speed and the true yaw angle in the X direction measured on the real road into the wind noise response function to obtain the response SPL(t) of the transient simulated noise changing with time, that is, the first wind noise simulation data. As Figure 5 shown, it is the first wind noise simulation data obtained by substituting the true wind speed and the true yaw angle in the X direction measured on the real road into the wind noise response function.

[0105] In the embodiment of the present application, the wind noise response function is determined under the test of a steady-state wind tunnel, and the data measured on the real road is substituted into the wind noise response function to calculate the first wind noise simulation data. There is no need to directly measure the wind noise of the target vehicle on the real road, which can unify the road inflow conditions and also exclude road noise, so as to quantitatively analyze the transient wind noise level.

[0106] In an alternative embodiment of the present application, step S120 includes:

[0107] Obtain a preset wind speed interval, a first yaw angle corresponding to the test yaw angle, and a second yaw angle corresponding to the test yaw angle;

[0108] Determine the current test wind speed from the test wind speeds according to the preset wind speed interval;

[0109] During the process that the test yaw angle changes uniformly from the first yaw angle to the second yaw angle, collect the current wind noise audio of the target vehicle at the current test wind speed;

[0110] Associate and store the current wind noise audio, the current test wind speed, and the test yaw angle.

[0111] In this embodiment, the test wind speed can be 100 - 140 km / h, and the preset wind speed interval can be 1 km / h; the test yaw angle can change uniformly from -10° to +10°, then the first yaw angle is the starting yaw angle, which is -10° in this example, and the second yaw angle is the ending yaw angle, which is +10° in this example. That is, the wind noise audio corresponding to the test wind speed of 100 - 140 km / h when the test yaw angle changes uniformly from -10° to +10° is tested at intervals of 1 km / h. The above specific values are only for illustration, and the embodiments of the present application do not impose any restrictions on the specific settings of the above parameters.

[0112] Specifically, obtain the current test wind speed that needs to be tested currently from the test wind speeds according to the preset wind speed interval. During the process that the test yaw angle changes uniformly from the first yaw angle to the second yaw angle, collect the current wind noise audio of the target vehicle at the current test wind speed, and associate and store the current wind noise audio, the current test wind speed, and the test yaw angle.

[0113] By collecting several groups of wind noise audio according to the preset parameters in a steady-state wind tunnel in the embodiments of the present application, it can be used for subsequent calculation of the first wind noise simulation data and the second wind noise simulation data, without the need to collect data in a turbulence generating device, making the subsequent wind noise fitting closer to the real road wind noise.

[0114] In an alternative embodiment of the present application, after step S120, the method further includes:

[0115] Obtain the acquisition time when the test yaw angle changes uniformly from the first yaw angle to the second yaw angle and a preset time interval;

[0116] Divide the current wind noise audio corresponding to the current test wind speed according to the preset time interval to obtain current audio segments, and there is a corresponding current yaw angle for the current audio segments;

[0117] Associate and store the current audio segment, the current measured wind speed, and the current yaw angle.

[0118] In this embodiment, the current wind noise audio corresponding to different current measured wind speeds can be further divided according to the current yaw angle, so as to obtain current audio segments corresponding to different current measured wind speeds and different current yaw angles respectively.

[0119] Specifically, obtain the acquisition time T when the measured yaw angle changes uniformly from the first yaw angle to the second yaw angle, and define the preset time interval as δt = T / 20, so as to obtain the acquisition time and the preset time interval.

[0120] Divide and segment the current wind noise audio corresponding to each current measured wind speed with a single time domain segment duration of δt. Then, 20 current audio segments can be obtained for each current measured wind speed, corresponding to 20 angles that vary uniformly from -10° to +10°. If the measured wind speed is 100 - 140 km / h and the preset wind speed interval is 1 km / h, there are a total of 41 groups of current measured wind speeds, that is, a total of 820 current audio segments are obtained. These current audio segments can represent the true wind noise response of the target vehicle corresponding to different current measured wind speeds and different current yaw angles respectively. The above specific values are only for illustration, and the embodiments of the present application do not impose any restrictions on the specific settings of parameters such as the specific preset time interval.

[0121] The embodiments of the present application divide the current wind noise audio to obtain current audio segments corresponding to different current measured wind speeds and different current yaw angles respectively, which are used for the generation of subsequent second wind noise simulation data.

[0122] In an alternative embodiment of the present application, step S140 includes:

[0123] Obtain the target current measured wind speed corresponding to the true wind speed and the target current yaw angle corresponding to the true yaw angle;

[0124] Determine the corresponding target current audio segment according to the target current measured wind speed and the target current yaw angle;

[0125] Synthesize the target current audio segment to obtain the second wind noise simulation data.

[0126] In this embodiment, after obtaining the current audio segments corresponding to different current measured wind speeds and different current yaw angles respectively, the corresponding current audio segment can be obtained and synthesized according to the true wind speed and the true yaw angle, so as to obtain the second wind noise simulation data.

[0127] Specifically, according to the preset time interval δt, the instantaneous value at the target moment is selected from the true wind speed as the target current test wind speed, and the instantaneous value at the target moment is selected from the true yaw angle as the target current yaw angle. Thus, the corresponding target current audio segment can be determined according to the target current test wind speed and the target current yaw angle. In one embodiment, rounding can be adopted when determining the target current audio segment. For example, when the target current test wind speed is 110.5 km / h, the current audio segment in the group with V = 111 km / h is selected. If the target current yaw angle is +5.4°, the current audio segment when the current yaw angle is +5° is selected.

[0128] All the obtained target current audio segments are synthesized to obtain the second wind noise simulation data. In one embodiment, phase alignment or fade-in / fade-out processing can be performed before synthesis to ensure seamless connection between adjacent audios during multiple audio syntheses.

[0129] The embodiment of the present application can obtain the corresponding target current audio segment according to the road test data and synthesize the second wind noise simulation data. Thus, the transient wind noise simulation audio for wind noise subjective evaluation can be obtained without collecting real wind noise audio on the real road, excluding road noise and making the subsequent subjective evaluation results more accurate.

[0130] In an alternative embodiment of the present application, step S150 includes:

[0131] Calculating the wind noise modulation degree according to the first wind noise simulation data;

[0132] Obtaining the objective evaluation of the transient wind noise corresponding to the target vehicle according to the wind noise modulation degree.

[0133] In this embodiment, the wind noise modulation degree can be calculated according to the first wind noise simulation data. In one embodiment, the wind noise modulation degree can be calculated through MATLAB or HEAD software according to the response of the noise changing with time in the first wind noise simulation data, so as to compare the modulation degree sizes under different working conditions. The smaller the modulation degree, the better the stability, that is, the better the transient wind noise performance, and the objective evaluation of the transient wind noise corresponding to the target vehicle is obtained.

[0134] The embodiment of the present application can use the first wind noise simulation data to calculate the wind noise modulation degree and obtain the objective evaluation of the transient wind noise corresponding to the target vehicle according to the wind noise modulation degree. Thus, without relying on complex turbulence generating equipment, more accurate target wind noise analysis results can be obtained.

[0135] In the embodiments of the present application, the test wind speed, test yaw angle, and road test data corresponding to the target vehicle are obtained; the wind noise audio of the target vehicle in the preset experimental equipment is collected according to the test wind speed and test yaw angle; the first wind noise simulation data corresponding to the target vehicle is obtained according to the test wind speed, test yaw angle, wind noise audio, and road test data; the second wind noise simulation data corresponding to the target vehicle is generated according to the road test data and wind noise audio; the wind noise of the target vehicle is analyzed by using the first wind noise simulation data and the second wind noise simulation data to obtain the target wind noise analysis result. The embodiments of the present application combine the wind noise audio at the test wind speed and test yaw angle by means of the preset experimental equipment with the road test data measured on the real road to fit the wind noise response of the real wind, and the transient wind noise performance of the vehicle can be studied without relying on the turbulence generating equipment. Among them, the first wind noise simulation data is based on the input of the real road wind field, making the simulation result closer to the actual working condition and can be used for the objective evaluation of the transient wind noise; at the same time, the second wind noise simulation data can be used for the subjective evaluation of the transient wind noise. The embodiments of the present application can more accurately simulate and analyze the wind noise response of the vehicle to the real wind field without relying on complex turbulence generating equipment.

[0136] Embodiment 2

[0137] The following will be combined with Figure 6 and Figure 7 , to give a complete explanatory description of a method for analyzing the wind noise of a vehicle in the embodiments of the present application.

[0138] Referring to Figure 6 , which is the flow chart of the objective evaluation of the transient wind noise of the method for analyzing the wind noise of a vehicle provided by an embodiment of the present application, including the following steps.

[0139] Step 601: Test and record the in-vehicle noise response, that is, the wind noise audio, at different test wind speeds and different test yaw angles in a steady-state wind tunnel.

[0140] Step 602: Establish a one-to-one correspondence between the test wind speed and test yaw angle in the steady-state wind tunnel and the noise response corresponding to the wind noise audio, and establish a relationship curve SPL(V, θ) of the three, that is, the wind noise response function.

[0141] Step 603: Test the on-road non-steady incoming flow condition, and collect the real wind speed V(t) and real yaw angle θ(t) at each moment to obtain the road test data.

[0142] Step 604: Combine the real speed and real yaw angle at each moment with the wind noise response function SPL(V, θ) to obtain the simulated noise response SPL(t) at each moment, that is, the first wind noise simulation data.

[0143] Step 605: Conduct an objective numerical analysis on the obtained simulated noise response SPL(t).

[0144] Step 606: Obtain the unsteady wind noise evaluation of the target vehicle, that is, the objective evaluation of transient wind noise.

[0145] Refer to Figure 7 , which is the flowchart of the subjective evaluation of transient wind noise in the vehicle wind noise analysis method provided by an embodiment of the present application, including the following steps.

[0146] Step 701: Test and record the in-vehicle noise response, that is, the wind noise audio, at different test wind speeds and different test yaw angles in a steady-state wind tunnel.

[0147] Step 702: Test the on-road incoming flow condition of the unsteady incoming flow, collect the true wind speed V(t) and the true yaw angle θ(t) at each moment, and obtain the road test data.

[0148] Step 703: Assume that the time for the test yaw angle to rotate from the starting angle of -10° to the ending angle of +10° is T, and define the duration of a single time-domain segment as δt = T / 20.

[0149] Step 704: Divide and segment each group of collected wind noise audio according to the duration of a single time-domain segment of δt.

[0150] Step 705: According to the instantaneous values of the true wind speed U x (t) and the true yaw angle θ(t) in the X direction, select a target current audio segment corresponding to the target's current test wind speed and the target's current yaw angle every δt seconds, and round up or down when selecting.

[0151] Step 706: After performing phase alignment or fade-in / fade-out processing on the selected audio, perform audio synthesis.

[0152] Step 707: Obtain the subjective evaluation audio of the unsteady wind noise of the target vehicle, that is, the second wind noise simulation data.

[0153] In the embodiments of the present application, the test wind speed, the test yaw angle, and the road test data corresponding to the target vehicle are obtained; the wind noise audio of the target vehicle in the preset experimental equipment is collected according to the test wind speed and the test yaw angle; the first wind noise simulation data corresponding to the target vehicle is obtained according to the test wind speed, the test yaw angle, the wind noise audio, and the road test data; the second wind noise simulation data corresponding to the target vehicle is generated according to the road test data and the wind noise audio; the wind noise of the target vehicle is analyzed by using the first wind noise simulation data and the second wind noise simulation data to obtain the target wind noise analysis result. In the embodiments of the present application, the wind noise audio under the test wind speed and the test yaw angle with the help of the preset experimental equipment is combined with the road test data measured on the real road to fit the wind noise response of the real wind, and the transient wind noise performance of the vehicle can be studied without relying on the turbulence generating equipment. Among them, the first wind noise simulation data is based on the input of the real road wind field, making the simulation result closer to the actual working condition and can be used for the objective evaluation of the transient wind noise; at the same time, the second wind noise simulation data can be used for the subjective evaluation of the transient wind noise. Without relying on complex turbulence generating equipment, the embodiments of the present application can more accurately simulate and analyze the wind noise response of the vehicle to the real wind field.

[0154] The embodiments of the present application also provide an analysis device 80 for vehicle wind noise. Please refer to Figure 8 , including:

[0155] A data acquisition module 810, configured to acquire the test wind speed, the test yaw angle, and the road test data corresponding to the target vehicle;

[0156] An audio acquisition module 820, configured to collect the wind noise audio of the target vehicle in the preset experimental equipment according to the test wind speed and the test yaw angle;

[0157] A first simulation module 830, configured to obtain the first wind noise simulation data corresponding to the target vehicle according to the test wind speed, the test yaw angle, the wind noise audio, and the road test data;

[0158] A second simulation module 840, configured to generate the second wind noise simulation data corresponding to the target vehicle according to the road test data and the wind noise audio;

[0159] A data analysis module 850, configured to calculate the objective evaluation of the transient wind noise corresponding to the target vehicle according to the first wind noise simulation data, and obtain the subjective evaluation of the corresponding transient wind noise according to the second wind noise simulation data.

[0160] Optionally, the device 80 further includes:

[0161] A real wind speed acquisition module, configured to collect the real wind speed corresponding to the target vehicle when the target vehicle is driving on the preset road;

[0162] A true yaw angle calculation module, configured to calculate the true yaw angle corresponding to the target vehicle according to the true wind speed;

[0163] A road data determination module, configured to use the true wind speed and the true yaw angle as the road test data corresponding to the target vehicle.

[0164] Optionally, the first simulation module 830 includes:

[0165] A response function generation sub-module, configured to generate a wind noise response function according to the test wind speed, the test yaw angle, and the wind noise audio;

[0166] A first simulation data determination sub-module, configured to calculate the true wind speed and the true yaw angle by using the wind noise response function to obtain the first wind noise simulation data.

[0167] Optionally, the audio acquisition module 820 includes:

[0168] An acquisition parameter acquisition sub-module, configured to acquire a preset wind speed interval, a first yaw angle corresponding to the test yaw angle, and a second yaw angle corresponding to the test yaw angle;

[0169] A current wind speed determination sub-module, configured to determine a current test wind speed from the test wind speeds according to the preset wind speed interval;

[0170] A current audio acquisition sub-module, configured to acquire the current wind noise audio of the target vehicle at the current test wind speed during the process that the test yaw angle uniformly changes from the first yaw angle to the second yaw angle;

[0171] A data storage sub-module, configured to associatively store the current wind noise audio, the current test wind speed, and the test yaw angle.

[0172] Optionally, the device 80 further includes:

[0173] A division parameter acquisition module, configured to acquire the acquisition time for the test yaw angle to uniformly change from the first yaw angle to the second yaw angle and a preset time interval;

[0174] An audio division module, configured to divide the current wind noise audio corresponding to the current test wind speed according to the preset time interval to obtain a current audio segment, and the current audio segment has a corresponding current yaw angle;

[0175] An audio storage module, configured to associatively store the current audio segment, the current test wind speed, and the current yaw angle.

[0176] Optionally, the second simulation module 840 includes:

[0177] A target yaw angle acquisition sub-module, configured to acquire a target current test wind speed corresponding to the true wind speed and a target current yaw angle corresponding to the true yaw angle;

[0178] A target audio determination sub-module, configured to determine a corresponding target current audio segment according to the target current test wind speed and the target current yaw angle;

[0179] A second simulation data determination sub-module, configured to synthesize the target current audio segment to obtain the second wind noise simulation data.

[0180] Optionally, the data analysis module 850 includes:

[0181] A modulation degree calculation sub-module, configured to calculate a wind noise modulation degree according to the first wind noise simulation data;

[0182] A transient wind noise objective evaluation determination sub-module, configured to obtain the transient wind noise objective evaluation corresponding to the target vehicle according to the wind noise modulation degree.

[0183] In the embodiments of the present application, a test wind speed, a test yaw angle, and road test data corresponding to a target vehicle are acquired; wind noise audio of the target vehicle in a preset experimental device is collected according to the test wind speed and the test yaw angle; first wind noise simulation data corresponding to the target vehicle is obtained according to the test wind speed, the test yaw angle, the wind noise audio, and the road test data; second wind noise simulation data corresponding to the target vehicle is generated according to the road test data and the wind noise audio; a transient wind noise objective evaluation corresponding to the target vehicle is calculated according to the first wind noise simulation data, and a transient wind noise subjective evaluation corresponding to the second wind noise simulation data is obtained. The embodiments of the present application combine the wind noise audio of the preset experimental device at the test wind speed and the test yaw angle with the road test data measured on the real road to fit the wind noise response of the real wind, and can study the transient wind noise performance of the vehicle without relying on a turbulence generation device. Among them, the first wind noise simulation data is based on the input of the real road wind field, making the simulation result closer to the actual working condition and can be used for the objective evaluation of transient wind noise; at the same time, the second wind noise simulation data can be used for the subjective evaluation of transient wind noise. The embodiments of the present application can more accurately simulate and analyze the wind noise response of the vehicle to the real wind field without relying on complex turbulence generation devices.

[0184] The embodiments of the present application also provide an electronic device 90. Please refer to Figure 9, including a processor 910 and a memory 920. Among them, the memory 910 is used to store computer programs; the processor 920 is used to execute the programs stored on the memory 910 to implement the vehicle wind noise analysis method introduced in any embodiment of the present application.

[0185] The embodiment of the present application also provides a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, the vehicle wind noise analysis method introduced in any embodiment of the present application is implemented.

[0186] In the present application, "a plurality" means two or more.

[0187] In the present application, unless otherwise clearly defined, the terms "installation", "connection", and "coupling" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific situations.

[0188] The terms "first", "second", "third", "fourth", etc. (if any) in the present application are used to distinguish similar objects and do not have to be used to describe a specific order or sequence.

[0189] The term "and / or" in the present application is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in the present application generally represents an "or" relationship between the associated objects before and after.

[0190] If there is no special instruction, all steps of the present application can be carried out in sequence or randomly. For example, the method includes steps A and B, which means that the method can include steps A and B carried out in sequence, or can also include steps B and A carried out in sequence. For example, it is mentioned that the method may further include step C, which means that step C can be added to the method in any order. For example, the method can include steps A, B, and C, or can also include steps A, C, and B, or can also include steps C, A, and B, etc.

[0191] The above are only the preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for analyzing vehicle wind noise, characterized in that, Including: Obtain the test wind speed, test yaw angle, and road test data corresponding to the target vehicle; Collect the wind noise audio of the target vehicle in a preset experimental device according to the test wind speed and the test yaw angle; Obtain the first wind noise simulation data corresponding to the target vehicle according to the test wind speed, the test yaw angle, the wind noise audio, and the road test data; Generate the second wind noise simulation data corresponding to the target vehicle according to the road test data and the wind noise audio; Calculate the objective evaluation of the transient wind noise corresponding to the target vehicle according to the first wind noise simulation data, and obtain the subjective evaluation of the transient wind noise corresponding thereto according to the second wind noise simulation data.

2. The method according to claim 1, wherein Before the obtaining the test wind speed, test yaw angle, and road test data corresponding to the target vehicle, the method includes: When the target vehicle is traveling on a preset road, collect the true wind speed corresponding to the target vehicle; Calculate the true yaw angle corresponding to the target vehicle according to the true wind speed; Use the true wind speed and the true yaw angle as the road test data corresponding to the target vehicle.

3. The method according to claim 2, wherein The obtaining the first wind noise simulation data corresponding to the target vehicle according to the test wind speed, the test yaw angle, the wind noise audio, and the road test data includes: Generate a wind noise response function according to the test wind speed, the test yaw angle, and the wind noise audio; Use the wind noise response function to calculate the true wind speed and the true yaw angle to obtain the first wind noise simulation data.

4. The method according to claim 2, wherein The collecting the wind noise audio of the target vehicle in a preset experimental device according to the test wind speed and the test yaw angle includes: Obtain a preset wind speed interval, a first yaw angle corresponding to the test yaw angle, and a second yaw angle corresponding to the test yaw angle; Determine the current test wind speed from the test wind speed according to the preset wind speed interval; During the process of the test yaw angle changing uniformly from the first yaw angle to the second yaw angle, collect the current wind noise audio of the target vehicle at the current test wind speed; Associate and store the current wind noise audio, the current test wind speed, and the test yaw angle.

5. The method according to claim 4, wherein The method further includes: Obtain the acquisition time when the test yaw angle changes uniformly from the first yaw angle to the second yaw angle and a preset time interval; Divide the current wind noise audio corresponding to the current test wind speed according to the preset time interval to obtain a current audio segment, and the current audio segment has a corresponding current yaw angle; Associate and store the current audio segment, the current test wind speed, and the current yaw angle.

6. The method according to claim 5, wherein The generating the second wind noise simulation data corresponding to the target vehicle according to the road test data and the wind noise audio includes: Obtain the target current test wind speed corresponding to the true wind speed and the target current yaw angle corresponding to the true yaw angle; Determine the corresponding target current audio segment according to the target current test wind speed and the target current yaw angle; Synthesize the target current audio segment to obtain the second wind noise simulation data.

7. The method according to claim 1, characterized in that Calculating the objective evaluation of the transient wind noise corresponding to the target vehicle according to the first wind noise simulation data includes: Calculating the wind noise modulation degree according to the first wind noise simulation data; Obtaining the objective evaluation of the transient wind noise corresponding to the target vehicle according to the wind noise modulation degree.

8. An analysis device for vehicle wind noise, characterized in that, Including: A data acquisition module, configured to acquire the test wind speed, the test yaw angle, and the road test data corresponding to the target vehicle; An audio acquisition module, configured to acquire the wind noise audio of the target vehicle in a preset experimental device according to the test wind speed and the test yaw angle; A first simulation module, configured to obtain the first wind noise simulation data corresponding to the target vehicle according to the test wind speed, the test yaw angle, the wind noise audio, and the road test data; A second simulation module, configured to generate the second wind noise simulation data corresponding to the target vehicle according to the road test data and the wind noise audio; A data analysis module, configured to calculate the objective evaluation of the transient wind noise corresponding to the target vehicle according to the first wind noise simulation data, and obtain the corresponding subjective evaluation of the transient wind noise according to the second wind noise simulation data.

9. An electronic device, characterized in that, Including a processor and a memory, wherein The memory is used to store a computer program; The processor is configured to execute the program stored on the memory to implement the method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the method according to any one of claims 1-7 is implemented.