Method for testing ventilation volume of tuning net of Bluetooth earphone

Abstract

The invention discloses a method for testing the ventilation volume of a Bluetooth earphone tuning net, and relates to the technical field of data encryption, and the method comprises the steps: setting an environment variable required by a test, setting a corresponding environment simulation condition in a test box, fixing the Bluetooth earphone tuning net to be tested on a test frame, and calibrating test equipment by using a standard reference material. The method comprises the following steps: constructing a test platform capable of simulating dynamic pressure change, integrating the test platform with a Bluetooth earphone tuning network test frame, obtaining the real air permeability, creating a tuning network simulation three-dimensional model by using COMSOL acoustic simulation software, inputting related parameters, obtaining the simulation air permeability, and executing a test under a set environmental condition. And comparing and analyzing the real air permeability and the simulated air permeability, evaluating the simulation degree of the model, and optimizing the air permeability of the Bluetooth earphone tuning net according to the experimental parameters in combination with the tuning net simulation three-dimensional model.

Description

Technical Field

[0001] The invention relates to the field of electronic equipment manufacturing, in particular to a method for testing the air permeability of a Bluetooth headset tuning net. Background Art

[0002] With the continuous development of consumer electronics technology, Bluetooth headsets, as a portable audio device, have been widely welcomed due to their wireless and convenient features. However, the sound quality of Bluetooth headsets depends not only on their built-in speaker units, but also on the design of the tuning mesh. As one of the important components of Bluetooth headsets, the tuning mesh not only affects the transparency and clarity of the sound, but is also directly related to the user's auditory experience. The traditional tuning mesh air permeability test method mainly relies on testing under static conditions, that is, measuring the air permeability under constant pressure. Although this type of method can reflect the basic performance of the tuning mesh to a certain extent, it cannot accurately simulate the impact of airflow changes on the air permeability of the tuning mesh in a dynamic environment, especially when the user is active. In addition, traditional testing methods often ignore the impact of environmental factors such as temperature, humidity and air pressure on the air permeability of the tuning mesh, resulting in a large difference between the test results and the actual usage scenarios.

[0003] There are many shortcomings in the test methods for the air permeability of the tuning net of Bluetooth headsets currently used in the market. First, most test methods can only be performed under static conditions and cannot fully reflect the actual air permeability of the tuning net under dynamic pressure changes. Secondly, the existing test methods lack simulation of environmental variables, which makes the test results different from the performance under actual use conditions. In addition, traditional methods often fail to fully utilize the advantages of modern simulation tools, and it is difficult to accurately predict and optimize the air permeability of the tuning net. These shortcomings limit the further improvement of product performance by Bluetooth headset manufacturers. In contrast, the present invention proposes a new air permeability test method for Bluetooth headset tuning nets. By simulating the actual use environment, combining a test platform with dynamic pressure changes, and using advanced acoustic simulation software for three-dimensional modeling and simulation analysis, the air permeability of the tuning net can be more accurately evaluated, and the design of the tuning net can be optimized accordingly. This method not only improves the accuracy of the test, but also provides a scientific basis for the design of the tuning net, which is helpful to improve the overall sound quality performance of the Bluetooth headset. Summary of the invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a method for testing the air permeability of a tuning mesh of a Bluetooth headset to solve the problem that most testing methods can only be performed under static conditions and cannot fully reflect the actual air permeability performance of the tuning mesh under dynamic pressure changes. The existing testing methods lack simulation of environmental variables, which makes the test results inconsistent with the performance under actual use conditions. Traditional methods often fail to fully utilize the advantages of modern simulation tools and it is difficult to achieve accurate prediction and optimization of the air permeability performance of the tuning mesh. These shortcomings limit the problem of Bluetooth headset manufacturers further improving product performance.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, an embodiment of the present invention provides a method for testing the air permeability of a Bluetooth headset tuning net, which comprises:

[0008] Set the environmental variables required for the test and set the corresponding environmental simulation conditions in the test box;

[0009] Fix the Bluetooth headset tuning net to be tested on the test stand and calibrate the test equipment using standard reference materials;

[0010] Build a test platform that can simulate dynamic pressure changes and integrate it with the Bluetooth headset tuning network test stand to obtain the true air permeability;

[0011] Use COMSOL acoustic simulation software to create a three-dimensional model of the tuning net, input relevant parameters, and obtain the simulated air permeability;

[0012] Perform the test under the set environmental conditions, compare and analyze the actual air permeability and the simulated air permeability, and evaluate the model simulation degree;

[0013] According to the experimental parameters and the simulated 3D model of the tuning net, the breathability of the Bluetooth headset tuning net is optimized.

[0014] As a preferred solution of the method for testing the air permeability of the Bluetooth headset tuning net of the present invention, wherein: the environmental variables required for the test are set, and corresponding environmental simulation conditions are set in the test box, and the specific steps are:

[0015] Set the environmental data to be simulated to air pressure P;

[0016] Select a test box with good sealing and sufficient space, install a compressor and air pressure sensor inside the test box, and connect all equipment to a computer for control;

[0017] Set the target air pressure value on the computer.

[0018] As a preferred solution of the method for testing the air permeability of the Bluetooth headset tuning net of the present invention, wherein: the Bluetooth headset tuning net to be tested is fixed on a test stand, and the test equipment is calibrated using standard reference materials, and the specific steps are:

[0019] Use a clamp to fix the Bluetooth headset tuning net to be tested on the test stand;

[0020] Select a standard breathable mesh as the calibration reference;

[0021] Start the test equipment for measuring air permeability, apply a series of positive pressure, negative pressure, and dynamic pressure changes according to the known air permeability values ​​of the standard reference material, simulate the actual test conditions, and record the air permeability under different pressure change conditions;

[0022] The recorded air permeability is compared with the known air permeability of a standard reference material and the deviation is calculated;

[0023] Set a threshold T 1 , repeat the calibration process until Absolute Deviation ≤ T 1 .

[0024] As a preferred solution of the method for testing the air permeability of the Bluetooth headset tuning net of the present invention, wherein: a test platform capable of simulating dynamic pressure changes is constructed and integrated with the Bluetooth headset tuning net test stand, and the specific steps are as follows:

[0025] Use a vacuum pump to simulate dynamic pressure changes and a programmable logic controller (PLC) to manage pressure changes;

[0026] An anemometer is installed on the test frame to monitor and record the air flow velocity through the tuning net.

[0027] As a preferred solution of the method for testing the air permeability of the Bluetooth headset tuning net of the present invention, the specific steps of obtaining the true air permeability are as follows:

[0028] Conduct multiple tests and use Python software to calculate the true air permeability K(t) using the data collected during the test;

[0029] The value range of K(t) is (0, +∞), and a threshold T is set. 2 , when K(t) <T 2 When K(t)≥T 2 , it means the tuning net has good air permeability.

[0030] As a preferred solution of the method for testing the air permeability of the Bluetooth headset tuning net of the present invention, wherein: the COMSOL acoustic simulation software is used to create a three-dimensional simulation model of the tuning net, and relevant parameters are input to obtain the simulated air permeability. The specific steps are as follows:

[0031] According to the physical parameters of the tuning mesh material, aperture size, hole spacing, and thickness, draw the two-dimensional cross-sectional profile of the tuning mesh in COMSOL acoustic simulation software, and generate a three-dimensional simulation model of the tuning mesh through rotation and stretching commands, and input the density ρ, elastic modulus E, and Poisson's ratio v of the tuning mesh material;

[0032] Collect environmental data air pressure P;

[0033] Input P(t) simulates dynamic pressure changes;

[0034] After setting all parameters, run the simulation, and calculate the simulated air permeability K(t)' using Python software based on the dynamic pressure values ​​collected during the simulation and the air flow velocity through the tuning net.

[0035] As a preferred solution of the method for testing the air permeability of the tuning net of the Bluetooth headset of the present invention, wherein: the test is performed under set environmental conditions, the real air permeability and the simulated air permeability are compared and analyzed, and the simulation degree of the simulated three-dimensional model of the tuning net is evaluated, and the specific steps are:

[0036] Clean the data of real air permeability and simulated air permeability, remove invalid data points, and unify all data into a unified format;

[0037] Use matplotlib in Python to plot the real air permeability K(t) and the simulated air permeability K(t)' on the same curve chart, and use different color curves to distinguish them;

[0038] Use mean square error MSE to measure the difference between predicted simulation degree and real-time simulation degree, and set the threshold T 3 , when MSE≤T 3 When the simulation degree is high, it can be used to optimize the breathability of the Bluetooth headset tuning net;

[0039] When MSE>T 3 When the simulation degree is low, it is necessary to further analyze the reasons, improve the model, and update the parameters.

[0040] As a preferred solution of the method for testing the air permeability of the Bluetooth headset tuning net of the present invention, wherein: according to the experimental parameters, combined with the tuning net simulation three-dimensional model, the air permeability performance of the Bluetooth headset tuning net is optimized, and the specific steps are:

[0041] Analyze K(t) based on the environmental data air pressure P and dynamic pressure P(t) <T2 Adjust the parameters of the tuning net material, hole size, hole spacing, and thickness according to the reason;

[0042] Update the parameters of the tuning network simulation model and run the simulation to obtain the real-time simulation degree;

[0043] Compare the real-time simulation degree with the predicted simulation degree to evaluate the improvement effect;

[0044] Repeat this process until satisfactory ventilation performance is achieved.

[0045] The beneficial effects of the present invention are: it comprehensively covers the key links of the breathability performance test of the Bluetooth headset tuning net, which not only improves the test accuracy, but also accelerates the product development cycle by combining simulation with actual measurement, and gradually improves the breathability performance of the product by continuously optimizing the design parameters. It can effectively guide the design and production of the Bluetooth headset tuning net, ensure the stability and comfort of the product in different usage environments, and thus gain a competitive advantage in the market. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0047] Figure 1 This is a flow chart of the method for testing the air permeability of the Bluetooth headset tuning net in Example 1.

[0048] Figure 2 This is a flow chart for calculating the difference between the predicted simulation degree and the real-time simulation degree in Example 1. DETAILED DESCRIPTION

[0049] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0050] Example 1, reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, and provides a method for testing the air permeability of a Bluetooth headset tuning net, comprising the following steps:

[0051] S1 sets the environmental variables required for the test and sets the corresponding environmental simulation conditions in the test box;

[0052] Set the environmental data to be simulated to air pressure P;

[0053] Select a test box with good sealing and sufficient space, install a compressor and air pressure sensor inside the test box, and connect all equipment to a computer for control;

[0054] Set the target air pressure value on the computer;

[0055] By setting the environmental variables required for the test and setting the corresponding environmental simulation conditions in the test box, the breathability performance test of the Bluetooth headset tuning net in a specific environment was achieved. This step ensured the consistency and repeatability of the test conditions, providing a reliable basis for subsequent tests, and ultimately achieving the effect of accurately evaluating the breathability performance of the tuning net in a controllable environment.

[0056] S2 fixes the Bluetooth headset tuning net to be tested on the test stand and calibrates the test equipment using standard reference materials;

[0057] Use a clamp to fix the Bluetooth headset tuning net to be tested on the test stand;

[0058] Select a standard breathable mesh as the calibration reference;

[0059] Start the test equipment for measuring air permeability, apply a series of positive pressure, negative pressure, and dynamic pressure changes according to the known air permeability values ​​of the standard reference material, simulate the actual test conditions, and record the air permeability under different pressure change conditions;

[0060] The recorded air permeability is compared to the known air permeability of the standard reference material and the deviation is calculated as:

[0061] Absolute Deviation=|K r -K s |;

[0062] Among them, K r Denotes the recorded air permeability, K s It represents the standard reference air permeability, and Absolute Deviation represents the absolute deviation;

[0063] Set a threshold T 1 , repeat the calibration process until Absolute Deviation ≤ T 1 ;

[0064] The accuracy and reliability of the test equipment are ensured by fixing the Bluetooth headset tuning net to the test stand and calibrating the test equipment with standard reference materials. This step is done by calculating the absolute deviation and setting the threshold T 1 Repeated calibration makes the test results more accurate and reliable, ultimately achieving the effect of improving the accuracy of the test results.

[0065] S3 built a test platform that can simulate dynamic pressure changes and integrated it with the Bluetooth headset tuning network test stand to obtain the true air permeability;

[0066] Use a vacuum pump to simulate dynamic pressure changes, and use a programmable logic controller (PLC) to manage pressure changes. The expression is:

[0067] P(t)=P 0 +Asin(2πft+φ);

[0068] Where t represents time, P(t) represents the pressure value at time t, and P 0 represents the static pressure base value, A represents the pressure amplitude, sin represents the sine function, π represents the circumference of a circle, f represents the frequency, and φ represents the phase angle of the sine wave;

[0069] Install an anemometer on the test stand to monitor and record the air velocity passing through the tuning net;

[0070] After multiple tests, the data collected during the test were used to calculate the true air permeability K(t) using Python software. The expression is:

[0071]

[0072] Where v(t) represents the air velocity through the tuning net, and S represents the effective area of ​​the tuning net;

[0073] The value range of K(t) is (0, +∞), and a threshold T is set. 2 , when K(t) <T 2 When K(t)≥T 2 When , it means the tuning net has good air permeability;

[0074] By building a test platform that can simulate dynamic pressure changes and integrating it with the Bluetooth headset tuning net test stand, the air permeability test of the tuning net under dynamic pressure changes was realized. This step uses the programmable logic controller (PLC) to manage and control dynamic pressure changes, making the test results closer to the actual use environment. Ultimately, the effect of accurately measuring the air permeability of the tuning net under dynamic conditions was achieved;

[0075] By processing the data collected during the test and calculating the true air permeability K(t) through Python software, the quantitative analysis of the air permeability of the tuning net is achieved. This step is achieved by setting the threshold T 2 To distinguish the good and bad breathability of the tuning mesh, it provides a clear reference standard for subsequent optimization, and ultimately achieves the effect of quantitatively evaluating the breathability of the tuning mesh.

[0076] S4 uses COMSOL acoustic simulation software to create a three-dimensional model of the tuning net, inputs relevant parameters, and obtains the simulated air permeability;

[0077] According to the physical parameters of the tuning mesh material, aperture size, hole spacing, and thickness, draw the two-dimensional cross-sectional profile of the tuning mesh in COMSOL acoustic simulation software, and generate a three-dimensional simulation model of the tuning mesh through rotation and stretching commands, and input the density ρ, elastic modulus E, and Poisson's ratio v of the tuning mesh material;

[0078] Collect environmental data air pressure P;

[0079] Input P(t) simulates dynamic pressure changes;

[0080] After setting all parameters, run the simulation, and calculate the simulated air permeability K(t)' through Python software according to the dynamic pressure values ​​collected during the simulation and the air flow velocity through the tuning net;

[0081] By using COMSOL acoustic simulation software to create a three-dimensional model of the tuning mesh and inputting relevant parameters to obtain the simulated air permeability, a virtual test of the tuning mesh's air permeability performance was achieved. This step utilized the powerful functions of the software for simulation, providing theoretical support for the design of the tuning mesh, and ultimately achieving the effect of predicting the tuning mesh's air permeability performance through simulation.

[0082] S5 performs the test under the set environmental conditions, compares and analyzes the real air permeability and the simulated air permeability, and evaluates the simulation degree of the tuning net simulation 3D model;

[0083] Clean the data of real air permeability and simulated air permeability, remove invalid data points, and unify all data into a unified format;

[0084] Use matplotlib in Python to plot the real air permeability K(t) and the simulated air permeability K(t)' on the same curve chart, and use different color curves to distinguish them;

[0085] Use mean square error MSE to measure the difference between predicted simulation degree and real-time simulation degree, and set the threshold T 3 , when MSE≤T 3 When the simulation degree is high, it can be used to optimize the breathability of the Bluetooth headset tuning net;

[0086] When MSE>T 3 When , the simulation degree is low, and it is necessary to further analyze the reasons and improve the model and update the parameters. The expression is:

[0087]

[0088] Among them, θ new represents the updated model parameters, θold represents the model parameters before updating, α represents the learning rate, The symbol for the partial derivative, Represents the partial derivative of the mean square error MSE with respect to the model parameters;

[0089] By comparing the real air permeability and the simulated air permeability and using the mean square error (MSE) to evaluate the simulation degree of the model, the accuracy of the simulation model is quantitatively evaluated. This step is achieved by setting the threshold T 3 To judge the effectiveness of the simulation model and update the model parameters as needed, the simulation accuracy is improved, and ultimately the effect of accurately evaluating and optimizing the simulation model is achieved.

[0090] S6 optimizes the ventilation performance of the Bluetooth headset tuning net based on experimental parameters and the three-dimensional model of the tuning net simulation;

[0091] Analyze K(t) based on the environmental data air pressure P and dynamic pressure P(t) <T 2 Adjust the parameters of the tuning net material, hole size, hole spacing, and thickness according to the reason;

[0092] Update the parameters of the tuning network simulation model and run the simulation to obtain the real-time simulation degree;

[0093] Compare the real-time simulation degree with the predicted simulation degree to evaluate the improvement effect;

[0094] Repeat this process until satisfactory air permeability is achieved;

[0095] By analyzing the environmental data of air pressure P and dynamic pressure P(t), and adjusting the design parameters of the tuning net according to the analysis results, the air permeability of the tuning net is optimized. This step is optimized through continuous iteration, making the design of the tuning net more reasonable, and ultimately achieving the effect of optimizing the air permeability of the tuning net.

[0096] This embodiment also provides a computer device, which is suitable for the method of testing the air permeability of a Bluetooth headset tuning net, including: a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the method of testing the air permeability of a Bluetooth headset tuning net as proposed in the above embodiment.

[0097] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0098] The present embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the method for testing the air permeability of a Bluetooth headset tuning network proposed in the above embodiment is implemented; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as a static random access memory (SRAM), an electrically erasable programmable read-only memory (EEPROM), an erasable programmable read-only memory (EPROM), a programmable read-only memory (PROM), a read-only memory (ROM), a magnetic memory, a flash memory, a disk or an optical disk.

[0099] In summary, the present invention comprehensively covers the key links of the breathability performance test of the Bluetooth headset tuning net, which not only improves the test accuracy, but also accelerates the product development cycle by combining simulation with actual measurement, and gradually improves the breathability of the product by continuously optimizing the design parameters. It can effectively guide the design and production of the Bluetooth headset tuning net, ensure the stability and comfort of the product in different usage environments, and thus gain a competitive advantage in the market.

Claims

1. A method for testing the air permeability of a Bluetooth headset tuning net, characterized in that: including, setting the environmental variables required for the test and setting the corresponding environmental simulation conditions in the test chamber; fixing the tuning net of the Bluetooth headset to be tested on the test rack and calibrating the test equipment using standard reference materials; constructing a test platform capable of simulating dynamic pressure changes, integrating it with the test rack of the Bluetooth headset tuning net, and obtaining the true air permeability; using COMSOL acoustic simulation software to create a three-dimensional simulation model of the tuning net, inputting relevant parameters, and obtaining the simulated air permeability; performing the test under the set environmental conditions, comparing and analyzing the true air permeability and the simulated air permeability, and evaluating the model simulation degree; optimizing the air permeability performance of the Bluetooth headset tuning net according to the experimental parameters and combining with the three-dimensional simulation model of the tuning net.

2. The method for testing the air permeability of a Bluetooth headset tuning net according to claim 1, characterized in that: The specific steps for setting the environmental variables required for the test and setting the corresponding environmental simulation conditions in the test chamber are as follows: setting the environmental data to be simulated as the air pressure P; selecting a test chamber with good sealing performance and sufficient space, installing a compressor and a pressure sensor inside the test chamber, and connecting all devices to a computer for control; setting the target air pressure value on the computer.

3. The method for testing the air permeability of a Bluetooth headset tuning net according to claim 2, characterized in that: The specific steps for fixing the tuning net of the Bluetooth headset to be tested on the test rack and calibrating the test equipment using standard reference materials are as follows: using a fixture to fix the tuning net of the Bluetooth headset to be tested on the test rack; selecting a standard breathable net as the calibration reference; starting the test equipment for measuring air permeability performance, applying a series of positive pressures, negative pressures, and dynamic pressure changes according to the known air permeability performance value of the standard reference material to simulate the real test conditions, and recording the air permeability under different pressure change conditions; comparing the recorded air permeability with the known air permeability of the standard reference material and calculating the deviation; setting a threshold T1 and repeating the calibration process until AbsoluteDeviation≤T1.

4. The method for testing the air permeability of a Bluetooth headset tuning net as claimed in claim 3, characterized in that: The specific steps for constructing a test platform capable of simulating dynamic pressure changes and integrating it with the test rack of the Bluetooth headset tuning net are as follows: using a vacuum pump to simulate dynamic pressure changes and using a programmable logic controller PLC to manage the pressure changes; installing an anemometer on the test rack to monitor and record the air flow velocity passing through the tuning net.

5. The method for testing the air permeability of a Bluetooth headset tuning net as claimed in claim 4, characterized in that: The specific steps for obtaining the true air permeability are as follows: performing multiple tests and calculating the true air permeability K(t) of the data collected during the test process through Python software; the value range of K(t) is (0, +∞), setting a threshold T2, when K(t)<T2, it indicates that the air permeability of the tuning net is poor, and when K(t)≥T2, it indicates that the air permeability of the tuning net is good.

6. The method for testing the air permeability of a Bluetooth headset tuning net according to claim 5, characterized in that: The specific steps for using COMSOL acoustic simulation software to create a three-dimensional simulation model of the tuning net, inputting relevant parameters, and obtaining the simulated air permeability are as follows: drawing the two-dimensional cross-sectional profile of the tuning net in COMSOL acoustic simulation software according to the physical parameters of the tuning net material, pore size, pore spacing, and thickness, and generating a three-dimensional simulation model of the tuning net through rotation and stretching commands, and inputting the density ρ, elastic modulus E, and Poisson's ratio v of the tuning net material; collecting the environmental data air pressure P; inputting P(t) to simulate dynamic pressure changes; After setting all the parameters, run the simulation. According to the dynamic pressure values collected during the simulation and the air flow velocity through the tuning net, calculate the simulated air permeability K(t)' using Python software.

7. The method for testing the air permeability of a Bluetooth headset tuning net according to claim 6, characterized in that: Perform tests under the set environmental conditions, compare and analyze the true air permeability and the simulated air permeability, and evaluate the simulation degree of the 3D simulation model of the tuning net. The specific steps are as follows: Clean the data of the true air permeability and the simulated air permeability, remove invalid data points, and unify the format of all data; Use matplotlib in Python to plot the true air permeability K(t) and the simulated air permeability K(t)' on the same curve chart, and distinguish them with curves of different colors; Use the mean square error MSE to measure the difference between the predicted simulation degree and the real-time simulation degree. Set a threshold T3. When MSE ≤ T3, the simulation degree is high and can be used to optimize the air permeability performance of the tuning net of the Bluetooth headset; When MSE > T3, the simulation degree is low, and the reasons need to be further analyzed and the model needs to be improved, and the parameters need to be updated.

8. The method for testing the air permeability of a Bluetooth headset tuning net according to claim 6, characterized in that: Optimize the air permeability performance of the tuning net of the Bluetooth headset according to the experimental parameters and in combination with the 3D simulation model of the tuning net. The specific steps are as follows: According to the environmental data air pressure P and the dynamic pressure P(t), analyze the reason why K(t) < T2, and adjust the parameters of the tuning net material, pore size, pore spacing, and thickness; Update the parameters of the tuning net simulation model and run the simulation to obtain the real-time simulation degree; Compare the real-time simulation degree and the predicted simulation degree to evaluate the improvement effect; Repeat this process until satisfactory air permeability performance is achieved.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, it implements the steps of the method for testing the air permeability of the tuning net of the Bluetooth headset according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of the method for testing the air permeability of the tuning net of the Bluetooth headset according to any one of claims 1 to 7.

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