A method for evaluating the consistency of the sound of automotive micro switch buttons and designing their tone

Abstract

The present invention proposes a method for evaluating the consistency of automobile microswitch button sounds and designing the timbre. Objective test points are arranged at the driver's positions of N vehicles, and objective tests are performed to record the sound of the buttons during the test. The recorded sounds are subjected to psychoacoustic parameter consistency analysis and normal distribution statistical analysis. The consistency level of the button sounds of the N vehicles is obtained by performing univariate regression analysis. The main frequency of the sound is obtained by Fourier transform, and a frequency and psychoacoustic parameter model is established. The button sounds of micro switches of different structures are tested and recorded, the corresponding relationship between the timbre and the micro switch structure is determined, and a micro switch structure, frequency and psychoacoustic parameter model is established. The consistency evaluation and timbre design of the micro switch button sounds are completed. The present invention can meet the forward and reverse development of the button sounds of micro switch automobiles, has more practical development significance, and can allow users to have a better experience of the comfort of the entire vehicle.

Description

Technical Field

[0001] The invention belongs to the technical field of automobile parts design and development, and in particular, relates to a method for evaluating the consistency of automobile micro switch button sounds and designing the tone color. Background Art

[0002] As people demand higher quality for cars, they are paying more and more attention to the perceived quality of some operating parts of cars. Customers will use buttons when performing any functional operation in the car, and the most commonly used buttons are micro switches. Good sound texture and consistency of button sound can convey the high-end and comfort of the vehicle, and make customers feel happy, thereby affecting consumers' choice psychology. In recent years, with the development of the automobile industry, more and more high-end models have begun to select better structures for some operating parts and investigate their sound performance. The purpose is to give users a good experience. In-car buttons are also the focus of attention. However, the sound design started relatively late, and the buttons are still in a stage of satisfying functional design or a simple evaluation stage of sound. Some inventions are a method for designing the sound of car buttons, including: determining a subjective evaluation scale for switch sound, and quantifying the objective evaluation parameters of the reference sample under the perception dimension of switch sound quality, forming objective evaluation parameters of psychoacoustics for switch sound design, and finally determining the subjective evaluation and objective evaluation parameter requirements for switch sound design. There is also a design of a noise reduction device for automotive button switches, which includes a slider, a base and a shell. Compared with noise reduction by adding grease, it not only reduces costs and shortens assembly time, but also better ensures the feel of batch switches. There is also an invention patent for a microswitch assembly machine, including a frame, a vibration plate, a material-grabbing robot, a turntable and a fixture, but some of the above inventions are patents for subjective and objective evaluation of the sound of the whole vehicle, and some are structural patents. How to guide the structural design according to the sound you want or determine how to know the consistency and timbre performance of the whole vehicle is a problem that needs to be solved at present. Therefore, the above designs are not for the sound consistency and timbre design methods of microswitch buttons. It can be seen that there is currently no evaluation method for the sound consistency of microswitch buttons and a timbre design method. Summary of the invention

[0003] The present invention is based on the objective test results of the button sound containing micro switches in the whole vehicle state, utilizes the psychoacoustic parameters loudness and sharpness analysis, and uses the normal distribution method to statistically calculate the consistency level of the button sound. According to the analysis results of multiple vehicles, the sound consistency classification level of automobile buttons containing micro switches is clarified, and a method for evaluating the consistency and timbre design of automobile micro switch button sounds is proposed.

[0004] The present invention is achieved through the following technical solutions:

[0005] A method for evaluating the consistency of the sound of automotive micro switch buttons and designing the tone color:

[0006] The method specifically comprises the following steps:

[0007] Step 1: Arrange objective test points at the driver's position of N vehicles, conduct objective tests, and record the sound of key presses during the test;

[0008] Step 2: Conduct psychoacoustic parameter consistency analysis and normal distribution statistical analysis on the sound recorded in step 1;

[0009] Step 3: Conduct a subjective evaluation on the key sounds and obtain the subjective evaluation consistency score results. Perform a univariate regression analysis on the subjective evaluation consistency score results and the normal distribution statistical analysis of N vehicles obtained in step 2 to obtain the key sound consistency level of the N vehicles.

[0010] Step 4: Define five timbres corresponding to different frequencies, obtain the main frequency of the sound through Fourier transform, and establish a frequency and psychoacoustic parameter model;

[0011] Step 5: Test and record the key sounds of micro switches with different structures, obtain the frequency of the sound through Fourier transform, and determine the corresponding relationship between the timbre and the micro switch structure according to the timbre defined in step 4; combine the frequency and psychoacoustic parameter model in step 4 to establish the micro switch structure, frequency and psychoacoustic parameter model;

[0012] Step 6: According to steps 3 and 5, complete the sound consistency evaluation and tone design of micro switch buttons.

[0013] Furthermore, in step one,

[0014] Step 1: Place a test artificial head designed in accordance with the physiological structure of the human ear at the driver's position, and place the artificial head close to the backrest and headrest. Ensure that the height between the two ears of the artificial head and the seat surface is 70±2cm;

[0015] For adjustable seats, adjust the seat to the middle position with the backrest at a 90-degree right angle;

[0016] Step 1 and 2: After the test personnel install and connect the acquisition equipment, they sit in the co-pilot seat and operate the button, repeatedly pressing and releasing it three times. The artificial head in the car records the sound of the entire process.

[0017] Furthermore, in step one,

[0018] Step 1: The tester wears a head-worn microphone and sits in the driver's seat, with his head pressed against the backrest and headrest, and the height between both ears and the seat surface is guaranteed to be 70±2cm;

[0019] For adjustable seats, adjust the seat to the middle position with the backrest at a 90-degree angle.

[0020] Step 1 and 2: After the experimenter installs and connects the acquisition equipment, he operates the button, presses and releases it repeatedly three times, and the head-mounted microphone records the sound of the entire process.

[0021] Furthermore, in step 2,

[0022] Step 21: The psychoacoustic parameters include loudness and sharpness. The sound parameter results of the key pressing condition or the key releasing condition are used to perform consistency analysis to obtain the loudness and sharpness values ​​of each key pressing and releasing sound.

[0023] Step 22: Perform normal distribution statistical analysis on the loudness and sharpness of the pressing or releasing sounds of all keys through SPSS to obtain the mean value μ and standard deviation σ of the loudness and sharpness values.

[0024] Furthermore, in step three,

[0025] Step 3: At least four professional sound evaluators evaluate the consistency of the key sounds respectively, using a 5-point system, with the scoring criteria being: 5 points for very good consistency, 4 points for good consistency, 3 points for fair consistency, 2 points for poor consistency, and 1 point for very poor consistency. The average of the evaluators' scores is used as the subjective consistency score result of the key sounds of the evaluated vehicles;

[0026] Step 3.2, regression analysis: perform univariate regression analysis on the normal distribution results of N vehicles in step 2 and the subjective consistency score results. The parameter variables are standard deviation σ, [μ-σ, μ+σ] / total number of keys, [μ-2σ, μ+2σ] / total number of keys, and [μ-3σ, μ+3σ] / total number of keys. Calculate the regression equation between standard deviation σ and subjective score, the regression equation between the ratio of key values ​​in the interval [μ-σ, μ+σ] to the total number of keys and subjective score, the regression equation between the ratio of key values ​​in the interval [μ-2σ, μ+2σ] to the total number of keys and subjective score, and the regression equation between the ratio of key values ​​in the interval [μ-3σ, μ+3σ] to the total number of keys and subjective score, and obtain the regression equation of four parameters.

[0027] Step 3. Using R 2 Test the four regression equations in step 3.2, R 2 The closer it is to 1, the better the regression equation fits. 2 The closer it is to 0, the worse the regression equation fits. The ratio [μ-σ, μ+σ] / total number of keys is used as an objective value for key sound consistency evaluation.

[0028] Step 3 and 4: Define the consistency level based on the objective consistency quantity and subjective score of N vehicles: Level A is [μ-σ, μ+σ] / total ≥ 75%, and Level B is 65%<[μ-σ, μ+σ] / total < 75%.

[0029] Furthermore, in step 4,

[0030] Step 41. Define the timbre of the frequency 20Hz~500Hz as deep and rich, define the timbre of the frequency 500Hz~1kHz as plump and full, define the timbre of the frequency 1kHz~2kHz as soft and mellow, define the timbre of the frequency 2kHz~3kHz as bright, and define the timbre of the frequency 3kHz~5kHz as crisp;

[0031] Step 42: Press the sound data obtained from the objective test in step 1 to capture the sound for 1 second, perform Fourier transform analysis, and obtain the main frequency of the sound;

[0032] Step 43: Match the frequency of each key sound with its calculated loudness and sharpness values, divide all key sound frequencies according to the timbre definition interval, match the loudness and sharpness values ​​to their respective frequency intervals according to the frequency intervals, obtain the loudness and sharpness intervals in different frequency intervals, and establish a frequency and psychoacoustic parameter model.

[0033] Furthermore, in step five,

[0034] Step 51: Test the sound of different micro switches. Place the micro switch on a fixed stand, place the microphone 30 cm away from the switch, press and release the micro switch three times, and record the sound of this process.

[0035] Step 52: intercept the sound of all the micro switch bench test results, take 1s sound signal for Fourier transform, get the frequency result of the sound, and correspond the frequency to the frequency range of the timbre to get the corresponding relationship between the timbre and the micro switch structure;

[0036] Step 53: Based on the frequency and psychoacoustic parameter model obtained in step 43, establish the micro switch structure, frequency and psychoacoustic parameter model.

[0037] An electronic device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any one of the above methods when executing the computer program.

[0038] A computer-readable storage medium is used to store computer instructions, and when the computer instructions are executed by a processor, the steps of any of the above methods are implemented.

[0039] A vehicle, characterized in that it includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement any of the above-mentioned methods for evaluating the consistency of sound and designing the tone of automobile micro switch buttons.

[0040] Beneficial effects of the present invention

[0041] The present invention uses psychoacoustic parameters loudness and sharpness analysis, and uses the normal distribution method to calculate the consistency level of key sounds using the same micro switch, and clarifies the sound consistency classification level of automobile keys of micro switches based on the analysis results of multiple vehicles;

[0042] The present invention finds the loudness and sharpness ranges corresponding to different timbre frequency bands through the relationship between the psychoacoustic parameter results and the corresponding frequencies on the basis of consistency, thereby forming a psychoacoustic evaluation model including five timbres, namely, deep, full, soft, bright and crisp. Then, according to the main frequencies of the sounds when different micro switches are working, different micro switches are matched with different timbres, thereby forming an overall timbre design method from user perception (timbre) → frequency → signal (psychoacoustic parameter) → sound source (micro switch structure);

[0043] The present invention can satisfy the forward and reverse development of micro switch automobile button sounds, has more practical development significance, and can allow users to have a better experience of the comfort of the entire vehicle;

[0044] The present invention can obtain the timbre characteristics desired by users based on surveys, determine the micro switch to be used according to the characteristics, and predict the subjective performance of the micro switch under the whole vehicle state through a psychoacoustic parameter model; it can also obtain the psychoacoustic parameters based on the test results under the whole vehicle state to obtain the corresponding frequency and timbre, and define the timbre perception of the vehicle model. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a schematic diagram of the arrangement of the artificial head of the present invention;

[0046] Figure 2 is a flow chart of the present invention,

[0047] Figure 3 This is the internal communication structure of the present invention, wherein 401 is a memory, 402 is a processor, and 403 is a communication interface. DETAILED DESCRIPTION

[0048] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] Combination Figures 1 to 3 .

[0050] A method for evaluating the consistency of the sound of automotive micro switch buttons and designing the tone color:

[0051] The method specifically comprises the following steps:

[0052] Step 1: Arrange objective test points at the driver's position of N vehicles, conduct objective tests, and record the sound of key presses during the test;

[0053] Step 2: Conduct psychoacoustic parameter consistency analysis and normal distribution statistical analysis on the sound recorded in step 1;

[0054] Step 3: Conduct a subjective evaluation on the key sounds and obtain the subjective evaluation consistency score results. Perform a univariate regression analysis on the subjective evaluation consistency score results and the normal distribution statistical analysis of N vehicles obtained in step 2 to obtain the key sound consistency level of the N vehicles.

[0055] Step 4: Define five timbres corresponding to different frequencies, obtain the main frequency of the sound through Fourier transform, and establish a frequency and psychoacoustic parameter model;

[0056] Step 5: Test and record the key sounds of micro switches with different structures, obtain the frequency of the sound through Fourier transform, and determine the corresponding relationship between the timbre and the micro switch structure according to the timbre defined in step 4; combine the frequency and psychoacoustic parameter model in step 4 to establish the micro switch structure, frequency and psychoacoustic parameter model;

[0057] Step 6: According to steps 3 and 5, complete the sound consistency evaluation and tone design of micro switch buttons.

[0058] In step one,

[0059] Step 1: Place a test artificial head designed in accordance with the physiological structure of the human ear at the driver's position, such as Figure 1 As shown in the figure, place the artificial head close to the backrest and headrest, and ensure that the height between the two ears of the artificial head and the seat surface is 70±2cm;

[0060] For adjustable seats, adjust the seat to the middle position with the backrest at a 90-degree right angle and secure it with a seat belt if necessary;

[0061] Step 1 and 2: After the test personnel install and connect the acquisition equipment, they sit in the co-pilot seat and operate the button, repeatedly pressing and releasing it three times. The artificial head in the car records the sound of the entire process.

[0062] In step one,

[0063] Step 1: The tester wears a head-worn microphone and sits in the driver's seat, with his head pressed against the backrest and headrest, and the height between both ears and the seat surface is guaranteed to be 70±2cm;

[0064] For adjustable seats, adjust the seat to the middle position with the backrest at a 90-degree right angle and secure it with a seat belt if necessary;

[0065] Step 1 and 2: After the experimenter installs and connects the acquisition equipment, he operates the button, presses and releases it repeatedly three times, and the head-mounted microphone records the sound of the entire process.

[0066] In step 2,

[0067] Step 21: The psychoacoustic parameters include loudness and sharpness. The sound parameter results of the key pressing condition or the key releasing condition are used to perform consistency analysis to obtain the loudness and sharpness values ​​of each key pressing and releasing sound.

[0068] Step 22: Perform normal distribution statistical analysis on the loudness and sharpness of the pressing or releasing sounds of all keys through SPSS to obtain the mean value μ and standard deviation σ of the loudness and sharpness values.

[0069] In step three,

[0070] Step 3: At least four professional sound evaluators evaluate the consistency of the key sounds respectively, using a 5-point system, with the scoring criteria being: 5 points for very good consistency, 4 points for good consistency, 3 points for fair consistency, 2 points for poor consistency, and 1 point for very poor consistency. The average of the evaluators' scores is used as the subjective consistency score result of the key sounds of the evaluated vehicles;

[0071] Step 3.2, regression analysis: perform univariate regression analysis on the normal distribution results of N vehicles in step 2 and the subjective consistency score results. The parameter variables are standard deviation σ, [μ-σ, μ+σ] / total number of keys, [μ-2σ, μ+2σ] / total number of keys, and [μ-3σ, μ+3σ] / total number of keys. Calculate the regression equation between standard deviation σ and subjective score, the regression equation between the ratio of key values ​​in the interval [μ-σ, μ+σ] to the total number of keys and subjective score, the regression equation between the ratio of key values ​​in the interval [μ-2σ, μ+2σ] to the total number of keys and subjective score, and the regression equation between the ratio of key values ​​in the interval [μ-3σ, μ+3σ] to the total number of keys and subjective score, and obtain the regression equation of four parameters.

[0072] Step 3. Using R 2 Test the four regression equations in step 3.2, R 2 The closer it is to 1, the better the regression equation fits. 2 The closer it is to 0, the worse the regression equation fits. The ratio of the key values ​​locked in the [μ-σ, μ+σ] interval to the total number of keys has the highest correlation with the subjective evaluation, that is, the ratio of [μ-σ, μ+σ] / total number of keys is used as the objective quantity for key sound consistency evaluation.

[0073] Step 3 and 4: Define the consistency level based on the objective consistency quantity and subjective score of N vehicles: Level A is [μ-σ, μ+σ] / total ≥ 75%, and Level B is 65%<[μ-σ, μ+σ] / total < 75%.

[0074] In step four,

[0075] Step 41. Define the timbre of the frequency 20Hz~500Hz as deep and rich, define the timbre of the frequency 500Hz~1kHz as plump and full, define the timbre of the frequency 1kHz~2kHz as soft and mellow, define the timbre of the frequency 2kHz~3kHz as bright, and define the timbre of the frequency 3kHz~5kHz as crisp;

[0076] timbre frequency Low, deep 20Hz~500Hz Plump, full 500Hz~1kHz Soft and round 1kHz~2kHz Bright 2kHz~3kHz Crisp 3kHz~5kHz

[0077] Table 1 Timbre and frequency comparison table

[0078] Step 42: Press the sound data obtained from the objective test in step 1 to capture the sound for 1 second, perform Fourier transform analysis, and obtain the main frequency of the sound;

[0079] Step 43: Match the frequency of each key sound with its calculated loudness and sharpness values, divide all key sound frequencies according to the timbre definition interval, match the loudness and sharpness values ​​to their respective frequency intervals according to the frequency intervals, obtain the loudness and sharpness intervals in different frequency intervals, and establish a frequency and psychoacoustic parameter model.

[0080] In step five,

[0081] Step 51: Test the sound of different micro switches. Place the micro switch on a fixed stand, place the microphone 30 cm away from the switch, press and release the micro switch three times, and record the sound of this process.

[0082] Step 52: intercept the sound of all the micro switch bench test results, take 1s sound signal for Fourier transform, get the frequency result of the sound, and correspond the frequency to the frequency range of the timbre to get the corresponding relationship between the timbre and the micro switch structure;

[0083] Step 53: Based on the frequency and psychoacoustic parameter model obtained in step 43, establish the micro switch structure, frequency and psychoacoustic parameter model.

[0084] The vehicle also includes:

[0085] The communication interface 403 is used for communication between the memory 401 and the processor 402 .

[0086] The memory 401 is used to store computer programs that can be executed on the processor 402 .

[0087] The memory 401 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0088] If the memory 401, the processor 402 and the communication interface 403 are implemented independently, the communication interface 403, the memory 401 and the processor 402 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc.

[0089] Optionally, in a specific implementation, if the memory 401, the processor 402 and the communication interface 403 are integrated on a chip, the memory 401, the processor 402 and the communication interface 403 can communicate with each other through an internal interface.

[0090] The processor 402 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0091] An electronic device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any one of the above methods when executing the computer program.

[0092] A computer-readable storage medium is used to store computer instructions, and when the computer instructions are executed by a processor, the steps of any of the above methods are implemented.

[0093] A vehicle, characterized in that it includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement any of the above-mentioned methods for evaluating the consistency of sound and designing the tone of automobile micro switch buttons.

[0094] The above is a detailed introduction to the method for evaluating the consistency of sound and designing the tone of a car micro switch button proposed in the present invention, and the principles and implementation methods of the present invention are explained. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for a general technician in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for evaluating the consistency of the sound of automobile micro switch buttons and designing the tone color, characterized by: The method specifically comprises the following steps: Step 1: Arrange objective test points at the driver's position of N vehicles, conduct objective tests, and record the sound of key presses during the test; Step 1: Place a test artificial head designed in accordance with the physiological structure of the human ear at the driver's position, and place the artificial head close to the backrest and headrest. Ensure that the height between the two ears of the artificial head and the seat surface is 70±2cm; For adjustable seats, adjust the seat to the middle position with the backrest at a 90-degree right angle; Step 1 and 2: After the test personnel installed and connected the acquisition equipment, they sat in the co-pilot seat and operated the button, repeatedly pressing and releasing it three times. The artificial head in the car recorded the sound of the whole process; Step 13: The tester wears a head-worn microphone and sits in the driver's seat, with his head pressed against the backrest and headrest, and the height between both ears and the seat surface is guaranteed to be 70±2cm; For adjustable seats, adjust the seat to the middle position with the backrest at a 90-degree angle. Step 14: After the test personnel install and connect the acquisition equipment, they operate the button, repeatedly press and release it three times, and the head-mounted microphone records the sound of the entire process; Step 2: Conduct psychoacoustic parameter consistency analysis and normal distribution statistical analysis on the sound recorded in step 1; Step 3: Conduct a subjective evaluation on the key sounds and obtain the subjective evaluation consistency score results. Perform a univariate regression analysis on the subjective evaluation consistency score results and the normal distribution statistical analysis of N vehicles obtained in step 2 to obtain the key sound consistency level of the N vehicles. Step 4: Define five timbres corresponding to different frequencies, obtain the main frequency of the sound through Fourier transform, and establish a frequency and psychoacoustic parameter model; Step 5: Test and record the key sounds of micro switches with different structures, obtain the frequency of the sound through Fourier transform, and determine the corresponding relationship between the timbre and the micro switch structure according to the timbre defined in step 4; combine the frequency and psychoacoustic parameter model in step 4 to establish the micro switch structure, frequency and psychoacoustic parameter model; Step 6: According to steps 3 and 5, complete the sound consistency evaluation and tone design of micro switch buttons.

2. The method according to claim 1, characterized in that: In step 2, Step 21: The psychoacoustic parameters include loudness and sharpness. The sound parameter results of the key pressing condition or the key releasing condition are used to perform consistency analysis to obtain the loudness and sharpness values ​​of each key pressing and releasing sound. Step 22: Perform normal distribution statistical analysis on the loudness and sharpness of the pressing or releasing sounds of all keys through SPSS to obtain the mean value μ and standard deviation σ of the loudness and sharpness values.

3. The method according to claim 2, characterized in that: In step three, Step 3: At least four professional sound evaluators evaluate the consistency of the key sounds respectively, using a 5-point system, with the scoring criteria being: 5 points for very good consistency, 4 points for good consistency, 3 points for fair consistency, 2 points for poor consistency, and 1 point for very poor consistency. The average of the evaluators' scores is used as the subjective consistency score result of the key sounds of the evaluated vehicles; Step 3.2, regression analysis: perform univariate regression analysis on the normal distribution results of N vehicles in step 2 and the subjective consistency score results. The parameter variables are standard deviation σ, [μ-σ, μ+σ] / total number of keys, [μ-2σ, μ+2σ] / total number of keys, and [μ-3σ, μ+3σ] / total number of keys. Calculate the regression equation between standard deviation σ and subjective score, the regression equation between the ratio of key values ​​in the interval [μ-σ, μ+σ] to the total number of keys and subjective score, the regression equation between the ratio of key values ​​in the interval [μ-2σ, μ+2σ] to the total number of keys and subjective score, and the regression equation between the ratio of key values ​​in the interval [μ-3σ, μ+3σ] to the total number of keys and subjective score, and obtain the regression equation of four parameters. Step 3. Using R 2 Test the four regression equations in step 3.2, R 2 The closer it is to 1, the better the regression equation fits. 2 The closer it is to 0, the worse the regression equation fits. The ratio [μ-σ, μ+σ] / total number of keys is used as an objective quantity for evaluating the consistency of key sounds. Step 3 and 4: Define the consistency level based on the objective consistency quantity and subjective score of N vehicles: Level A is [μ-σ, μ+σ] / total ≥ 75%, and Level B is 65%<[μ-σ, μ+σ] / total < 75%.

4. The method according to claim 3, characterized in that: In step four, Step 41. Define the timbre of the frequency 20Hz~500Hz as deep and rich, define the timbre of the frequency 500Hz~1kHz as plump and full, define the timbre of the frequency 1kHz~2kHz as soft and mellow, define the timbre of the frequency 2kHz~3kHz as bright, and define the timbre of the frequency 3kHz~5kHz as crisp; Step 42: Press the sound data obtained from the objective test in step 1 to capture the sound for 1 second, perform Fourier transform analysis, and obtain the main frequency of the sound; Step 43: Match the frequency of each key sound with its calculated loudness and sharpness values, divide all key sound frequencies according to the timbre definition interval, match the loudness and sharpness values ​​to their respective frequency intervals according to the frequency intervals, obtain the loudness and sharpness intervals in different frequency intervals, and establish a frequency and psychoacoustic parameter model.

5. The method according to claim 4, characterized in that: In step five, Step 51: Test the sound of different micro switches. Place the micro switch on a fixed stand, place the microphone 30 cm away from the switch, press and release the micro switch three times, and record the sound of this process. Step 52: intercept the sound of all the micro switch bench test results, take 1s sound signal for Fourier transform, get the frequency result of the sound, and correspond the frequency to the frequency range of the timbre to get the corresponding relationship between the timbre and the micro switch structure; Step 53: Based on the frequency and psychoacoustic parameter model obtained in step 43, establish the micro switch structure, frequency and psychoacoustic parameter model.

6. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

7. A computer-readable storage medium for storing computer instructions, characterized in that: When the computer instructions are executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

8. A vehicle, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for evaluating the consistency of the sound of automotive micro switch buttons and designing the tone color as described in any one of claims 1 to 5.

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