Method and device for optimizing sound quality of vehicle lifting vertical mark

Abstract

The invention relates to the technical field of vehicle sound quality, in particular to a vehicle lifting beacon sound quality optimization method and device, and the method comprises the steps: collecting the noise of a plurality of types of corresponding lifting beacons of a plurality of vehicles in the lifting process, and carrying out the analysis to obtain a plurality of psychological acoustic parameters in the lifting process; obtaining a noise subjective score of the rising and falling vertical mark; and analyzing relevancy between the psychoacoustic parameters and the noise subjective score to determine at least one objective evaluation item of the rising and falling standard and a corresponding objective parameter index according to the relevancy so as to optimize an actual index of the at least one objective evaluation item of the rising and falling standard until the objective parameter index corresponding to the at least one objective evaluation item is reached. Therefore, the problems that in the prior art, the engine noise and the NVH noise of the vehicle are optimized by independently depending on the noise reduction sound pressure level, a special evaluation method for the special acoustic characteristics of the lifting beacon is lacked, and the use requirement and the optimization requirement of actual engineering cannot be met are solved.

Description

Technical Field

[0001] This application relates to the field of vehicle sound quality technology, and in particular to a method and apparatus for optimizing the sound quality of a vehicle raising and lowering sign. Background Technology

[0002] The NVH (Noise, Vibration, and Harshness) level of a car is an important indicator for evaluating its ride comfort. Noise, as one of the "three major public hazards" of our time, seriously affects the driving and riding experience. The retractable emblem on a vehicle, as an important identifier, produces a sound that reflects both noise level and sound quality. Therefore, the quality of the sound from the retractable emblem's movement has gradually become an important reference point for users when purchasing a vehicle.

[0003] In related technologies, the evaluation of vehicle noise is still limited to engine noise or NVH of automobiles. When optimizing vehicle noise, optimization is often achieved solely by reducing the sound pressure level of the noise.

[0004] However, the relevant technologies rely solely on reducing the sound pressure level to optimize the engine and NVH noise of vehicles. They lack specific evaluation methods for the unique acoustic characteristics of rising and lowering signs, making it difficult to effectively connect with users' actual subjective perception of noise. They also cannot perform targeted optimization of rising and lowering signs, failing to meet the actual engineering needs and optimization requirements, which urgently need to be addressed. Summary of the Invention

[0005] This application provides a method and apparatus for optimizing the sound quality of a vehicle's rising and lowering sign, in order to solve the problems in related technologies that rely solely on reducing the sound pressure level to optimize the engine and NVH noise of a vehicle, lack a specific evaluation method for the special acoustic characteristics of rising and lowering signs, are difficult to effectively connect with the user's actual subjective perception of noise, and cannot perform targeted optimization of rising and lowering signs, thus failing to meet the actual engineering usage and optimization needs.

[0006] The first aspect of this application provides a method for optimizing the sound quality of a vehicle raising and lowering sign, comprising the following steps: collecting noise from multiple raising and lowering signs of various types of vehicles during the raising and lowering process, analyzing the noise to obtain multiple psychoacoustic parameters during the raising and lowering process; obtaining a subjective noise score for the raising and lowering sign; analyzing the correlation between the multiple psychoacoustic parameters and the subjective noise score, determining at least one objective evaluation item of the raising and lowering sign and its corresponding objective parameter index based on the correlation, and optimizing the actual index of at least one objective evaluation item of the raising and lowering sign until the actual index reaches the objective parameter index corresponding to the at least one objective evaluation item.

[0007] Through the above technical means, the embodiments of this application can collect the sound signals received by drivers and passengers during the raising and lowering process of different car models and types of rising and lowering ornaments, analyze the correlation between the subjective evaluation value of the noise of the rising and lowering ornaments during the raising and lowering process and various psychoacoustic parameters, obtain the main psychoacoustic indicators that affect users' evaluation of the noise of the rising and lowering ornaments, accurately identify the key parameters that affect users' auditory perception, and set clear quantitative targets for them, thereby improving the indicators, making the sound quality design, optimization and quality control process of rising and lowering ornaments more targeted, efficient and controllable, and effectively improving the auditory quality and experience of the product.

[0008] Optionally, in one embodiment of this application, the step of collecting noise from the lifting and lowering of multiple vehicles corresponding to various types during the lifting and lowering process includes: identifying the power type of the multiple vehicles; determining the noise collection conditions based on the power type of the multiple vehicles, so as to collect the noise according to the collection conditions.

[0009] Through the above technical means, the embodiments of this application can set noise collection conditions according to the differences in vehicle power type, and then analyze multi-dimensional psychoacoustic parameters according to standard parameters to ensure that the noise collection of vehicle raising and lowering signs is accurate and interference-free, thereby ensuring that the analysis results are scientific and reliable, providing a unified standard and objective data support for the evaluation and optimization of the sound quality of raising and lowering signs, and helping to improve the professionalism and consistency of the quality control of raising and lowering signs.

[0010] Optionally, in one embodiment of this application, analyzing the correlation between the plurality of psychoacoustic parameters and the subjective noise score includes: calculating the Pearson correlation coefficient between the plurality of psychoacoustic parameters and the subjective noise score; and determining the correlation between the plurality of psychoacoustic parameters and the subjective noise score based on the Pearson correlation coefficient.

[0011] Through the above technical means, the embodiments of this application can analyze the correlation between psychoacoustic parameters and subjective noise scores by adapting the data patterns using the Pearson correlation coefficient, and screen out highly correlated psychoacoustic parameters as objective evaluation items. In this way, optimization goals and subjective and objective reference values ​​can be formulated, which can realize the accurate transformation of subjective listening experience into objective indicators, make the evaluation standards unified and quantifiable, provide a clear scientific basis for the sound quality optimization of raising and lowering standards, avoid blind optimization, and improve the accuracy and reliability of quality control.

[0012] Optionally, in one embodiment of this application, determining at least one objective evaluation item and its corresponding objective parameter index of the rising and falling sign based on the correlation includes: screening key psychoacoustic parameters whose absolute value of the Pearson correlation coefficient is greater than a target objective value based on the plurality of psychoacoustic parameters, so as to determine the objective evaluation item of the rising and falling sign based on the key psychoacoustic parameters; obtaining the score value of the objective evaluation item, so as to determine the objective parameter index based on the index value of the objective evaluation item whose score value is greater than a target subjective value.

[0013] Through the above technical means, the embodiments of this application can transform the vague auditory perception of vehicle raising and lowering signage into precise quantitative indicators through dual screening of correlation and qualified samples. This ensures that the optimized acoustic parameters are not only strongly correlated with user experience, but also that their target values ​​directly correspond to a clear subjective quality level. This facilitates the implementation of acoustic performance optimization work for raising and lowering signage, making the optimization goals clear, efficient, and the results predictable.

[0014] Optionally, in one embodiment of this application, optimizing the actual index of at least one objective evaluation item of the lifting and lowering beacon until the actual index reaches the objective parameter index corresponding to the at least one objective evaluation item includes: adjusting the lifting and lowering speed of the lifting and lowering beacon until the actual index reaches the objective parameter index corresponding to the at least one objective evaluation item.

[0015] Through the above technical means, the embodiments of this application can adjust the pop-up and retraction speed by gradient adjustment, and optimize the substandard quality of the rising and falling marks by combining subjective evaluation and objective testing in a closed-loop verification process. This accurately uncovers the correlation between speed parameters and sound quality and the optimal operating speed, ensuring that the optimized rising and falling marks meet both subjective scoring and objective indicator requirements, thereby effectively improving the consistency of sound quality and user listening satisfaction.

[0016] A second aspect of this application provides a sound quality optimization device for vehicle raising and lowering signage, comprising: a data acquisition module for acquiring noise from raising and lowering signage of multiple vehicles of various types during the raising and lowering process, analyzing the noise to obtain multiple psychoacoustic parameters during the raising and lowering process; an acquisition module for acquiring a subjective noise score of the raising and lowering signage; and an optimization module for analyzing the correlation between the multiple psychoacoustic parameters and the subjective noise score, determining at least one objective evaluation item of the raising and lowering signage and its corresponding objective parameter index based on the correlation, and optimizing the actual index of at least one objective evaluation item of the raising and lowering signage until the actual index reaches the objective parameter index corresponding to the at least one objective evaluation item.

[0017] Through the above technical means, the embodiments of this application can collect the sound signals received by drivers and passengers during the raising and lowering process of different car models and types of rising and lowering ornaments, analyze the correlation between the subjective evaluation value of the noise of the rising and lowering ornaments during the raising and lowering process and various psychoacoustic parameters, obtain the main psychoacoustic indicators that affect users' evaluation of the noise of the rising and lowering ornaments, accurately identify the key parameters that affect users' auditory perception, and set clear quantitative targets for them, thereby improving the indicators, making the sound quality design, optimization and quality control process of rising and lowering ornaments more targeted, efficient and controllable, and effectively improving the auditory quality and experience of the product.

[0018] Optionally, in one embodiment of this application, the acquisition module includes: an identification unit for identifying the power type of the vehicle; and an acquisition unit for determining the acquisition conditions of the noise based on the power type of the vehicle, so as to acquire the noise according to the acquisition conditions.

[0019] Through the above technical means, the embodiments of this application can set noise collection conditions according to the differences in vehicle power type, and then analyze multi-dimensional psychoacoustic parameters according to standard parameters to ensure that the noise collection of vehicle raising and lowering signs is accurate and interference-free, thereby ensuring that the analysis results are scientific and reliable, providing a unified standard and objective data support for the evaluation and optimization of the sound quality of raising and lowering signs, and helping to improve the professionalism and consistency of the quality control of raising and lowering signs.

[0020] Optionally, in one embodiment of this application, the optimization module includes: a calculation unit for calculating the Pearson correlation coefficient between the plurality of psychoacoustic parameters and the noise subjective score; and a first determination unit for determining the correlation between the plurality of psychoacoustic parameters and the noise subjective score based on the Pearson correlation coefficient.

[0021] Through the above technical means, the embodiments of this application can analyze the correlation between psychoacoustic parameters and subjective noise scores by adapting the data patterns using the Pearson correlation coefficient, and screen out highly correlated psychoacoustic parameters as objective evaluation items. In this way, optimization goals and subjective and objective reference values ​​can be formulated, which can realize the accurate transformation of subjective listening experience into objective indicators, make the evaluation standards unified and quantifiable, provide a clear scientific basis for the sound quality optimization of raising and lowering standards, avoid blind optimization, and improve the accuracy and reliability of quality control.

[0022] Optionally, in one embodiment of this application, the optimization module includes: a screening unit, configured to screen key psychoacoustic parameters whose absolute value of the Pearson correlation coefficient is greater than a target objective value based on the plurality of psychoacoustic parameters, so as to determine the objective evaluation item of the elevation and lowering of the target based on the key psychoacoustic parameters; and a second determining unit, configured to obtain the score value of the objective evaluation item, so as to determine the objective parameter index based on the index value of the objective evaluation item whose score value is greater than the target subjective value.

[0023] Through the above technical means, the embodiments of this application can transform the vague auditory perception of vehicle raising and lowering signage into precise quantitative indicators through dual screening of correlation and qualified samples. This ensures that the optimized acoustic parameters are not only strongly correlated with user experience, but also that their target values ​​directly correspond to a clear subjective quality level. This facilitates the implementation of acoustic performance optimization work for raising and lowering signage, making the optimization goals clear, efficient, and the results predictable.

[0024] Optionally, in one embodiment of this application, the optimization module includes: an adjustment unit, used to adjust the lifting speed of the lifting and lowering of the beacon until the actual index reaches the objective parameter index corresponding to the at least one objective evaluation item.

[0025] Through the above technical means, the embodiments of this application can adjust the pop-up and retraction speed by gradient adjustment, and optimize the substandard quality of the rising and falling marks by combining subjective evaluation and objective testing in a closed-loop verification process. This accurately uncovers the correlation between speed parameters and sound quality and the optimal operating speed, ensuring that the optimized rising and falling marks meet both subjective scoring and objective indicator requirements, thereby effectively improving the consistency of sound quality and user listening satisfaction.

[0026] A third aspect of this application provides an electronic device, including: 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 sound quality optimization method for vehicle raising and lowering signage as described in the above embodiments.

[0027] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for optimizing the sound quality of a vehicle raising and lowering sign.

[0028] A fifth aspect of this application provides a computer program product, including a computer program that, when executed, is used to implement the above-described method for optimizing the sound quality of vehicle raising and lowering signposts.

[0029] This application embodiment can collect noise analysis data from a vehicle's retractable emblem during its raising and lowering process to obtain multiple psychoacoustic parameters. Based on the correlation between these parameters and subjective noise ratings, at least one objective evaluation item for the retractable emblem and its corresponding objective parameter index are determined to optimize the actual index of at least one objective evaluation item. This allows for the analysis of the correlation between subjective evaluation values ​​of the retractable emblem and various psychoacoustic parameters by collecting sound signals received by drivers and passengers during the raising and lowering process of retractable emblems of different vehicle models. The impact of each psychoacoustic parameter on the sound quality of the retractable emblem is explored. By comparing objective test values ​​with subjective evaluation results, the main psychoacoustic indicators affecting users' evaluation of the vehicle's retractable emblem are identified. Key parameters affecting users' auditory experience are precisely pinpointed, and clear quantitative targets are set for them. Improvements are then made to these indicators, making the design, optimization, and quality control process of the vehicle's retractable emblem's sound quality more targeted, efficient, and controllable, effectively improving the product's auditory quality and premium experience. This solves the problems in related technologies, such as relying solely on reducing the sound pressure level to optimize vehicle engine and NVH noise, lacking a specific evaluation method for the unique acoustic characteristics of rising and lowering signs, making it difficult to effectively connect with users' actual subjective perception of noise, and failing to optimize rising and lowering signs in a targeted manner, thus failing to meet the actual engineering usage and optimization needs.

[0030] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0031] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart of a method for optimizing the sound quality of a vehicle raising and lowering sign according to an embodiment of this application; Figure 2 A flowchart of a method for optimizing the sound quality of a vehicle raising and lowering signboard according to an embodiment of this application; Figure 3 This is a schematic diagram of the sound quality optimization device for vehicle lifting and lowering signage provided in the embodiments of this application; Figure 4 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of this application.

[0032] Figure label: 10-Sound quality optimization device for vehicle lifting and erecting sign; 100-Acquisition module, 200-Acquisition module and 300-Optimization module; 401-Memory, 402-Processor and 403-Communication interface. Detailed Implementation

[0033] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0034] The following describes a method and apparatus for optimizing the sound quality of a vehicle raising and lowering sign, according to embodiments of this application, with reference to the accompanying drawings. Addressing the issues mentioned in the background art, where optimization of vehicle engine and NVH noise relies solely on reducing sound pressure level, there is a lack of specific evaluation methods for the unique acoustic characteristics of raising and lowering signs. This makes it difficult to effectively connect with users' actual subjective perception of noise and fails to provide targeted optimization for the raising and lowering sign, thus failing to meet the practical engineering needs and optimization requirements. Therefore, this application provides a method for optimizing the sound quality of a vehicle raising and lowering sign. In this method, noise analysis of the vehicle's raising and lowering sign during the raising and lowering process yields multiple psychoacoustic parameters. Based on the correlation between these multiple psychoacoustic parameters and subjective noise scores, at least one objective evaluation item for the raising and lowering sign and its corresponding objective parameter index are determined to optimize the actual index of at least one objective evaluation item for the raising and lowering sign. This approach enables the collection of sound signals received by drivers and passengers during the raising and lowering of vehicle hood ornaments of different models and types. Correlation analysis of subjective evaluation values ​​of the hood ornaments with various psychoacoustic parameters is conducted to explore the impact of these parameters on the sound quality of the hood ornaments. By comparing objective test values ​​with subjective evaluation results, the main psychoacoustic indicators influencing user evaluations of vehicle hood ornaments are identified. Key parameters affecting user auditory perception are precisely pinpointed, and clear quantitative targets are set for these parameters. Improvements are then made to these indicators, making the design, optimization, and quality control of vehicle hood ornament sound quality more targeted, efficient, and controllable, effectively enhancing the product's auditory quality and premium experience. This addresses the problems of related technologies that rely solely on reducing sound pressure levels to optimize engine and NVH noise, lack specific evaluation methods for the unique acoustic characteristics of hood ornaments, are difficult to connect with users' actual subjective noise perception, and cannot perform targeted optimization of hood ornaments, thus failing to meet the needs of practical engineering applications and optimization requirements.

[0035] Specifically, Figure 1 This is a flowchart illustrating a method for optimizing the sound quality of a vehicle raising and lowering sign provided in an embodiment of this application.

[0036] like Figure 1 As shown, the sound quality optimization method for the vehicle's raising and lowering sign includes the following steps: In step S101, the noise of multiple vehicles corresponding to various types of lifting and lowering marks during the lifting and lowering process is collected to analyze the noise and obtain multiple psychoacoustic parameters during the lifting and lowering process.

[0037] In some embodiments, this application can collect the noise of multiple vehicles corresponding to various types during the lifting and lowering process, and then analyze these noises to obtain multiple psychoacoustic parameters of the lifting and lowering of multiple vehicles corresponding to various types during the lifting and lowering process.

[0038] The phrase "multiple vehicles of multiple types" refers to the fact that each vehicle type corresponds to multiple vehicles. For example, vehicle types can be categorized based on the type of the emblem itself, including but not limited to the material of the rising emblem (metal / engineering plastic / composite material), structural design (single-segment telescopic / multi-segment nested, rigid connection / elastic buffer), drive method (DC motor drive / stepper motor drive / hydraulic drive), and functional positioning (decorative / integrated sensors, such as cameras and radar). Alternatively, they can be categorized based on the characteristics of the vehicle itself, such as by vehicle type (compact / mid-size / large sedan, SUV, etc.), by vehicle brand series, and by power type (fuel vehicle / electric vehicle / hybrid vehicle; due to differences in power supply voltage and drive system characteristics, the operating noise of the emblem may vary).

[0039] The same type of rising and lowering emblem may have individual noise differences on different vehicles due to differences in assembly precision, aging of parts, production batches, etc. Therefore, this application embodiment collects noise data from multiple vehicles of the same type, eliminates accidental factors, obtains the common noise characteristics and individual difference range of this type of emblem, and improves the representativeness of the data.

[0040] In this context, a retractable emblem refers to a brand logo, decorative piece, or functional component on the front of a vehicle (such as above the grille) that can be raised and lowered electrically or hydraulically, such as a classic brand emblem or a customized decorative emblem. The raising and lowering process here refers to the entire process of the emblem's ascent and descent, generally including four key stages: the start-up stage (motor startup, initial gear engagement); the uniform speed raising and lowering stage (sliding telescopic rod, continuous operation of the transmission mechanism); the locking / unlocking stage (clamp engagement, limit block impact); and the stopping stage (motor power failure, residual vibration before the mechanism comes to rest). The noise sources differ in each stage, such as electromagnetic noise from the motor during startup, friction noise from the guide rails during operation, and impact noise upon reaching the desired position.

[0041] Furthermore, psychoacoustic parameters can be understood as quantifiable objective indicators transformed from the subjective perception of the noise of a vehicle's rising and falling signs (such as "noisy" or "sharp") by the human ear, including but not limited to psychoacoustic parameters such as loudness, sharpness, roughness, vibration, and A-weighted sound pressure level.

[0042] Loudness corresponds to the perceived volume of noise from the raising and lowering of a vehicle's signboard; the higher the value, the louder it sounds.

[0043] Sharpness corresponds to the harshness of the noise from the vehicle's rising and lowering emblem. The more high-frequency components there are, the higher the sharpness, and the more likely it is to make users feel uncomfortable.

[0044] Roughness corresponds to the roughness (disorder) of the noise from the vehicle's rising and falling emblem. The higher the value, the more unstable and disordered the sound will feel to the user.

[0045] The vibration level corresponds to the fluctuation (vibration) of the noise from the vehicle's rising and falling emblem. For example, if the sound of the rising and falling emblem fluctuates when it goes up, the vibration level of the rising and falling emblem will be relatively high.

[0046] A-weighted sound pressure level here refers to the traditional sound pressure level index, which serves as the basis and reference for noise.

[0047] This application embodiment can collect the noise during the raising and lowering of the signpost and convert it into multi-dimensional quantifiable psychoacoustic parameters such as loudness and sharpness. At the same time, it combines the A-weighted sound pressure level as a basic reference to transform the vague subjective auditory perception of the noise of the raising and lowering signpost by drivers and passengers into accurate and objective indicators. This helps to achieve a unified standard and accuracy in quality evaluation, avoid subjective bias, and comprehensively capture the characteristics of noise defects and quickly locate problems, providing a scientific basis for the sound quality optimization of the raising and lowering signpost.

[0048] Optionally, in one embodiment of this application, the noise of multiple vehicles corresponding to various types during the lifting and lowering process of the beacon is collected, including: identifying the power type of the vehicle; determining the noise collection conditions according to the power type of the vehicle, so as to collect the noise according to the collection conditions.

[0049] In actual implementation, considering that different vehicles have different power types, additional noise may be generated under different power types. Therefore, this application can identify the power type of the vehicle and determine the noise collection conditions of the vehicle's raising and lowering of the sign based on the power type of the vehicle, so as to collect the noise of the vehicle's raising and lowering of the sign under the collection conditions.

[0050] The data collection conditions here can be understood as specific noise collection requirements formulated based on the vehicle's power type (pure electric / hybrid / fuel, etc.) to avoid interference from additional power noise. This is to ensure that the collected noise is only the noise generated during the raising and lowering of the beacon itself, avoiding other noise interference.

[0051] For example, this application can first determine the noise test points. In the embodiments of this application, the test points can be, but are not limited to, located at the ears of the driver in the driver's seat. The test points should be close to both sides of the headrest, and the height of the test points from the seat surface can be (70±2cm). For adjustable seats, the seat can be adjusted to the midpoint of the adjustable position.

[0052] Then, the testers can manipulate the vehicle to raise and lower the sign three times to collect the noise during the raising and lowering process.

[0053] During the testing process, if the vehicle is a pure electric or hybrid vehicle without engine noise interference, that is, the vehicle's power type is pure electric or hybrid, it can be tested directly. If other power types may cause engine noise during the raising and lowering of the ceremonial stand, it is necessary to determine the data collection conditions for other power types and test them using an external controller under vehicle idling conditions.

[0054] Finally, the embodiments of this application can use relevant sound analysis software to analyze the psychoacoustic parameters such as loudness, sharpness, roughness, vibration, and A-weighted sound pressure level of the sound (noise) during the smooth operation of the rising and falling of the beacon.

[0055] During the analysis, the embodiments of this application may, but are not limited to, extract the smooth rising and falling period of the rising and falling beacon for data analysis, with the data extraction duration being ≥1s. The analysis parameters may, but are not limited to, setting the sound field to a reverberation field, the A-weighted sound pressure level time weighting to 20ms, and the loudness and roughness calculation methods to ISO 532-1.

[0056] This application embodiment can set noise collection conditions according to the differences in vehicle power type, and then analyze multi-dimensional psychoacoustic parameters according to standard parameters to ensure accurate and interference-free noise collection of vehicle raising and lowering signs, thereby ensuring that the analysis results are scientific and reliable, providing unified standards and objective data support for the evaluation and optimization of the sound quality of raising and lowering signs, and helping to improve the professionalism and consistency of the quality control of raising and lowering signs.

[0057] Step S102: Obtain the subjective noise score for raising and lowering the beacon.

[0058] In some embodiments, in order to ensure the user's actual experience with the raising and lowering of the vehicle's hood ornament, this application can intuitively obtain the user's subjective noise rating during the raising and lowering process, thereby connecting the subjective evaluation and objective evaluation of the raising and lowering of the hood ornament.

[0059] For example, embodiments of this application may, but are not limited to, select at least five evaluators to conduct a subjective evaluation of the sound quality of the lifting and raising of the sign in the whole vehicle state.

[0060] Similar to the noise sampling method used for the vehicle's rising and lowering emblem during its raising and lowering process, the evaluation location remains the driver's seat. For adjustable seats, the seat can be adjusted to the midpoint of its adjustable position. The evaluator then operates the rising and lowering emblem from inside the vehicle, performing a "rising-lowering" motion and conducting a subjective evaluation. The evaluation focuses on the smooth operating noise during the rising and lowering process.

[0061] In this embodiment of the application, the subjective evaluation method of the evaluators can adopt a 10-point system, with the smallest unit of evaluation score being 0.25 points. The final score can be set as the average of the subjective scores of multiple evaluators, and the average score is rounded to 0.25.

[0062] Table 1 is a scoring criterion table for one embodiment of this application, which may be represented as follows, but is not limited to:

[0063] It should be noted that, in the process of obtaining the subjective noise score of the rising and lowering of the hood, in order to avoid engine noise interference, the test conditions in the process of obtaining the subjective noise score should also be set according to the vehicle's power type. That is, when the vehicle is a power type other than pure electric and hybrid, it is also necessary to test it through an external controller under the vehicle's idling condition to obtain the subjective noise score of the vehicle's rising and lowering of the hood.

[0064] This application embodiment can focus on the smooth noise of the raising and lowering of the sign by standardizing the unified evaluation position of the driver's seat, and conduct subjective evaluation by adopting certain corresponding scoring standards. This ensures that the evaluation scenario is consistent with the actual use conditions and the results are objective and consistent. It can also accurately correspond to customer satisfaction and improvement needs, providing an intuitive reference for the sound quality evaluation of the raising and lowering sign, and helping to optimize in a targeted manner to improve the user experience.

[0065] Step S103: Analyze the correlation between multiple psychoacoustic parameters and subjective noise scores to determine at least one objective evaluation item for raising and lowering the benchmark and its corresponding objective parameter index based on the correlation, so as to optimize the actual index of at least one objective evaluation item for raising and lowering the benchmark until the actual index reaches the objective parameter index corresponding to at least one objective evaluation item.

[0066] In other embodiments, after obtaining multiple psychoacoustic parameters of the noise of the vehicle's rising and lowering signpost and the subjective noise rating of the rising and lowering signpost noise by the evaluator, this application can analyze the correlation between the multiple psychoacoustic parameters and the subjective noise rating of the rising and lowering signpost noise, thereby determining at least one objective evaluation item of the rising and lowering signpost and its corresponding objective parameter index. Finally, based on the determined at least one objective evaluation item of the rising and lowering signpost and its corresponding objective parameter index, the actual index of at least one objective evaluation item of the rising and lowering signpost is optimized to achieve the objective parameter index corresponding to at least one objective evaluation item.

[0067] Here, the objective evaluation item can be understood as the type of psychoacoustic parameter that is strongly correlated with the noise of the rising and falling of the beacon, which is selected based on the correlation between multiple psychoacoustic parameters and subjective noise scores, and needs to be evaluated and monitored. For example, the loudness / sharpness / roughness / A-weighted sound pressure level obtained after screening.

[0068] Objective parameters can be understood here as specific, quantifiable numerical requirements or pass / fail lines set for each objective evaluation item.

[0069] After determining at least one objective evaluation item and its corresponding objective parameter index for the raising and lowering of the sign, the embodiments of this application can optimize the actual index of at least one objective evaluation item of the raising and lowering of the sign to reach the objective parameter index corresponding to at least one objective evaluation item, thereby completing the sound quality optimization of the raising and lowering of the sign.

[0070] For example, if the objective evaluation item for raising and lowering a sign is determined to be loudness, and its objective parameter index is ≤20 sonic, then the embodiments of this application can optimize the raising and lowering of the sign until its actual loudness index reaches the index of ≤20 sonic.

[0071] Additionally, in actual implementation, for ease of use, embodiments of this application may also construct certain subjective and objective reference values ​​based on at least one objective evaluation item and its corresponding objective parameter index. Subjective and objective evaluation values ​​here can be understood as the numerical range (objective parameter index) that each key objective evaluation item should reach when the subjective score of noise rise and fall reaches a certain level, determined by combining at least one objective evaluation item of noise and its corresponding objective parameter index.

[0072] After constructing certain subjective and objective reference values ​​based on at least one objective evaluation item and its corresponding objective parameter index, the acoustic performance of the rising and lowering beacon can be optimized until its acoustic performance meets the requirements of the subjective and objective reference values. Thus, the objective evaluation items and their corresponding objective parameter indexes can be integrated into a single technical standard, facilitating implementation.

[0073] This application embodiment can transform the vague auditory perception of vehicle retractable hood ornaments into a data-driven, precise index optimization problem by establishing a strong correlation between subjective and objective parameters. This provides clear, measurable, and repeatable quantitative standards for the sound quality design, optimization, and quality control of retractable hood ornaments, thereby systematically ensuring and improving the auditory experience and high-end feel of the product.

[0074] Optionally, in one embodiment of this application, analyzing the correlation between multiple psychoacoustic parameters and subjective noise scores includes: calculating the Pearson correlation coefficient between the multiple psychoacoustic parameters and subjective noise scores; and determining the correlation between the multiple psychoacoustic parameters and subjective noise scores based on the Pearson correlation coefficient.

[0075] Based on the descriptions of other embodiments, it will be understood that this application can determine at least one objective evaluation item and its corresponding objective parameter index for raising or lowering a target by analyzing the correlation between multiple psychoacoustic parameters and subjective noise scores.

[0076] In actual implementation, this application may, but is not limited to, determine the correlation between multiple psychoacoustic parameters and subjective noise scores by calculating the Pearson correlation coefficient between multiple psychoacoustic parameters and the subjective noise score during the raising and lowering of the marker, thereby identifying the main psychoacoustic indicators that affect the subjective evaluation score as objective evaluation items for the raising and lowering of the marker, and then, based on the relationship between subjective scores and objective indicators, formulate optimization target references for raising and lowering the marker and formulate subjective and objective reference values, etc.

[0077] Considering that both subjective noise ratings and objective psychoacoustic parameters conform to the principles of Pearson correlation analysis, this application embodiment may, but is not limited to, use the Pearson correlation coefficient for statistical analysis, using the absolute value of the final Pearson correlation coefficient to determine whether the two are correlated and the specific degree of correlation. The formula for calculating the Pearson correlation coefficient may, but is not limited to, be expressed as:

[0078] Average subjective evaluation; Objectively evaluate the value of the parameters; The average value of objective evaluation parameters; i The number of samples, i = 1, 2, ..., 53.

[0079] The absolute value of R is placed between 0 and 1. Within this range, the larger the absolute value of R, the higher the correlation between the two, and vice versa.

[0080] This application embodiment can analyze the Pearson correlation coefficient, which adapts to the data pattern, to quantify the correlation between psychoacoustic parameters and subjective noise scores. It then filters out highly correlated psychoacoustic parameters as objective evaluation items, thereby formulating optimization goals and subjective and objective reference values. This not only achieves the accurate conversion of subjective hearing perception into objective indicators and makes the evaluation standards unified and quantifiable, but also provides a clear scientific basis for the sound quality optimization of vehicle raising and lowering signs, avoiding blind optimization and improving the accuracy and reliability of quality control.

[0081] Optionally, in one embodiment of this application, determining at least one objective evaluation item and its corresponding objective parameter index for raising or lowering a landmark based on relevance includes: screening key psychoacoustic parameters whose absolute value of the Pearson correlation coefficient is greater than the target objective value based on multiple psychoacoustic parameters, so as to determine the objective evaluation item for raising or lowering a landmark based on the key psychoacoustic parameters; obtaining the score value of the objective evaluation item, so as to determine the objective parameter index based on the index value of the objective evaluation item whose score value is greater than the target subjective value.

[0082] In some embodiments, this application may determine the objective evaluation items for raising or lowering the target based on the absolute value (correlation) of the Pearson correlation coefficient between multiple psychoacoustic parameters and subjective noise scores, and select the key psychoacoustic parameters whose Pearson correlation coefficient is greater than the target objective value.

[0083] Here, the target objective value can be understood as a pre-set critical value for the absolute value of the Pearson correlation coefficient used to screen key psychoacoustic parameters, such as 0.7.

[0084] Therefore, when the correlation between one or more psychoacoustic parameters such as loudness, sharpness, roughness, and vibration and the subjective noise score reaches 0.7, it can be defined as an objective evaluation item for the raising and lowering of the vehicle's sign.

[0085] Furthermore, embodiments of this application can obtain the score values ​​of these objective evaluation items, and then determine the objective parameter index based on the index value of the objective evaluation item whose score value is greater than the target subjective value. Here, the target subjective value can be understood as the critical value of the objective parameter index of the objective evaluation item. Only objective evaluation items whose subjective score value reaches or exceeds this value will have their corresponding index value defined as an objective parameter index.

[0086] In other words, the embodiments of this application can first obtain the noise subjective score of these objective evaluation items, then view the noise subjective score of these objective evaluation items, and use the index value when the noise subjective score of these objective evaluation items is not less than a certain subjective value (such as subjective score ≥ 7 points) as the objective parameter index corresponding to each objective evaluation item.

[0087] This application embodiment can transform the vague auditory perception of vehicle raising and lowering signage into precise quantitative indicators through dual screening of correlation and qualified samples. This ensures that the optimized acoustic parameters are strongly correlated with user experience, and that the target values ​​directly correspond to a clear subjective quality level. This facilitates the implementation of acoustic performance optimization work for raising and lowering signage, making the optimization goals clear, efficient, and the results predictable.

[0088] Optionally, in one embodiment of this application, optimizing the actual index of at least one objective evaluation item of the lifting and lowering of the signpost until the actual index reaches the objective parameter index corresponding to at least one objective evaluation item includes: adjusting the lifting and lowering speed of the lifting and lowering of the signpost until the actual index reaches the objective parameter index corresponding to at least one objective evaluation item.

[0089] In other embodiments, this application may optimize the sound quality of the vehicle's raising and lowering beacon by adjusting the raising and lowering speed of the beacon until the actual indicators of the objective evaluation items of the raising and lowering beacon reach the objective parameter indicators of each objective evaluation item.

[0090] For example, this application can optimize the sound quality of raised and lowered benchmarks that are determined to be substandard by subjective and objective evaluation, such as when the subjective score is 7 points lower than the target subjective value, or when key objective parameters such as loudness and sharpness do not meet the reference indicators. The application adopts a gradient speed adjustment + closed-loop test verification method to optimize the sound quality.

[0091] First, based on the mechanical structure characteristics of the lifting beacon and the existing operating speed baseline, multiple ascending-descending speed levels can be set in gradients, such as 0.8 times, 1.0 times, 1.2 times, etc. of the base speed. By adjusting the voltage of the drive motor or the control module parameters of the lifting beacon, stable operation at different speeds can be achieved.

[0092] For each speed gear, two rounds of core tests were conducted sequentially: First, a subjective evaluation was conducted according to established specifications, with at least five evaluators operating the raising and lowering of the slewing headrest from the driver's seat (with the adjustable seat centered), focusing on the noise during smooth operation, and giving a score on a scale of 10 (minimum unit of 0.25 points). The final average score was rounded off and used as the subjective performance for that speed gear. Then, an objective test was conducted, collecting noise data again at both ears of the driver, capturing a smooth operation period of ≥1 second, and calculating the core psychoacoustic parameters according to ISO 532-1 standards and parameters such as reverberation field and 20ms time weighting.

[0093] Based on the test results of multiple speed levels, the correlation between speed adjustment and subjective and objective indicators was analyzed. For example, appropriately reducing the speed can reduce loudness and optimize sharpness. The speed parameters were iteratively adjusted and the test was repeated until the sound quality of the rising and falling sign met certain requirements: subjective score ≥ 7 points and all key objective parameters met the standards. Finally, the optimal rising-falling speed parameters were determined to complete the quality optimization of the rising and falling sign.

[0094] Through the above technical means, the embodiments of this application can adjust the pop-up and retraction speed by gradient adjustment, and optimize the substandard quality of the rising and falling marks by combining subjective evaluation and objective testing in a closed-loop verification process. This accurately uncovers the correlation between speed parameters and sound quality and the optimal operating speed, ensuring that the optimized rising and falling marks meet both subjective scoring and objective indicator requirements, thereby effectively improving the consistency of sound quality and user listening satisfaction.

[0095] The following is a detailed description of the sound quality optimization method for vehicle lifting and lowering signage in this application, using a specific embodiment.

[0096] Figure 2 This is a flowchart of a method for optimizing the sound quality of a vehicle's raising and lowering sign, according to one embodiment of this application. Figure 2 As shown: (1) Objective test of vehicle lifting and erection of the standard in the whole vehicle state Different models and types of vehicles were selected for the raising and lowering of the vehicle's emblem. The sound quality of the raising and lowering emblem was objectively tested in the vehicle's overall condition. The tester operated the vehicle's raising and lowering emblem to perform three "raise-lower" actions and collected the noise.

[0097] (2) Objective test data of raising and lowering the standard Using ArtemiS SUITE software, we analyzed psychoacoustic parameters such as loudness, sharpness, roughness, jitter, and A-weighted sound pressure level of the rising and falling beacon during its smooth "ascending-descending" operation.

[0098] (3) Subjective evaluation of the sound quality of raising and lowering the sign At least five evaluators were selected to conduct a subjective evaluation of the sound quality of the raising and lowering sign while the vehicle was in its entirety: 1. The evaluation position was located in the driver's seat, and for adjustable seats, the seat was located at the midpoint of the adjustable position; 2. The evaluators operated the raising and lowering sign from inside the vehicle to perform a "rising-falling" operation and conducted a subjective evaluation; 3. The evaluation content was the smooth operating noise of the raising and lowering sign during the "rising-falling" process; 4. The subjective evaluation method used a 10-point scale, with the smallest unit of evaluation score being 0.25 points. The final score was the average of the subjective scores from each evaluation group, and the average score was rounded to 0.25.

[0099] (4) Establishment of reference values ​​for subjective and objective parameters Establish a link between subjective and objective test results, conduct correlation analysis, and identify the main psychoacoustic indicators affecting subjective evaluation scores. Based on the relationship between subjective scores and objective indicators, formulate reference values ​​for the subjective and objective parameters of vehicle raising and lowering markers.

[0100] The correlation between subjective evaluation values ​​and objective psychoacoustic parameters was analyzed. These two data types conform to the principles of Pearson correlation analysis. The Pearson coefficient was used for statistical analysis to determine whether there is a correlation between them. The Pearson coefficient calculation model can be, but is not limited to, expressed as:

[0101] in, Average subjective evaluation; Objectively evaluate the value of the parameters; The average value of objective evaluation parameters; i The number of samples, i = 1, 2, ..., 53.

[0102] The absolute value of R is placed between 0 and 1. Within this range, the larger the absolute value of R, the higher the correlation between the two, and vice versa.

[0103] The objective psychoacoustic parameter with an absolute value of R greater than 0.7 is taken as the objective evaluation item, and the subjective evaluation score of the vehicle's raising and lowering of the sign is defined as not less than 7 points, and the corresponding values ​​of each evaluation item with a subjective evaluation score of 7 are objective parameter indicators.

[0104] (5) Optimization of the sound quality of vehicle raising and lowering sign The sound quality of the vehicle's raising and lowering of the signpost is optimized to meet the established subjective and objective reference values. Specifically, for the vehicle's raising and lowering of the signpost, the sound quality is optimized by adjusting the raising and lowering speed. After optimization, subjective evaluation and objective testing are conducted to ensure that the desired objective indicators are met.

[0105] The sound quality optimization method for vehicle retractable hood ornaments proposed in this application involves collecting noise analysis data during the retractable hood ornament's raising and lowering process to obtain multiple psychoacoustic parameters. Based on the correlation between these parameters and subjective noise ratings, at least one objective evaluation item for the retractable hood ornament and its corresponding objective parameter index are determined to optimize the actual index of at least one objective evaluation item. This method achieves the goal of collecting sound signals received by drivers and passengers during the raising and lowering process of retractable hood ornaments of different models and types, analyzing the correlation between subjective evaluation values ​​and various psychoacoustic parameters, exploring the impact of each psychoacoustic parameter on the sound quality of the retractable hood ornament, and identifying the main psychoacoustic indicators affecting user evaluation of the retractable hood ornament by comparing objective test values ​​with subjective evaluation results. This accurately identifies key parameters affecting user auditory perception and sets clear quantitative targets for these parameters, enabling improvements to be made. Consequently, the design, optimization, and quality control process of the vehicle retractable hood ornament's sound quality becomes more targeted, efficient, and controllable, effectively enhancing the product's auditory quality and premium experience. This solves the problems in related technologies, such as relying solely on reducing the sound pressure level to optimize vehicle engine and NVH noise, lacking a specific evaluation method for the unique acoustic characteristics of rising and lowering signs, making it difficult to effectively connect with users' actual subjective perception of noise, and failing to optimize rising and lowering signs in a targeted manner, thus failing to meet the actual engineering usage and optimization needs.

[0106] Next, referring to the accompanying drawings, the sound quality optimization device for vehicle lifting and erecting signs according to the embodiments of this application is described.

[0107] Figure 3 This is a schematic diagram of the sound quality optimization device for vehicle lifting and lowering signage according to an embodiment of this application.

[0108] like Figure 3 As shown, the sound quality optimization device 10 for the vehicle lifting and raising sign includes: a data acquisition module 100, an acquisition module 200, and an optimization module 300.

[0109] The system includes a data acquisition module 100, which collects noise data from multiple vehicles of various types during the raising and lowering process of the beacons, analyzes the noise, and obtains multiple psychoacoustic parameters during the raising and lowering process; an acquisition module 200, which acquires the subjective noise score of the beacons; and an optimization module 300, which analyzes the correlation between the multiple psychoacoustic parameters and the subjective noise score, determines at least one objective evaluation item of the beacons and its corresponding objective parameter index based on the correlation, and optimizes the actual index of at least one objective evaluation item of the beacons until the actual index reaches the objective parameter index corresponding to at least one objective evaluation item.

[0110] The acquisition module 100 includes: an identification unit for identifying the power types of multiple vehicles; and an acquisition unit for determining noise acquisition conditions based on the power types of the multiple vehicles, so as to acquire noise according to the acquisition conditions.

[0111] The optimization module 300 includes: a calculation unit for calculating the Pearson correlation coefficient between multiple psychoacoustic parameters and subjective noise scores; and a first determination unit for determining the correlation between the multiple psychoacoustic parameters and subjective noise scores based on the Pearson correlation coefficient.

[0112] The optimization module 300 includes: a screening unit, used to screen key psychoacoustic parameters whose absolute value of Pearson correlation coefficient is greater than the target objective value based on multiple psychoacoustic parameters, so as to determine the objective evaluation items for raising and lowering the target based on the key psychoacoustic parameters; and a second determination unit, used to obtain the score value of the objective evaluation items, so as to determine the objective parameter index based on the index value of the objective evaluation items whose score value is greater than the target subjective value.

[0113] The optimization module 300 includes an adjustment unit for adjusting the lifting speed of the lifting and lowering of the marker until the actual indicators reach at least one objective parameter indicator corresponding to an objective evaluation item.

[0114] It should be noted that the explanation of the above-described method for optimizing the sound quality of vehicle raising and lowering signage also applies to the sound quality optimization device for vehicle raising and lowering signage in this embodiment, and will not be repeated here.

[0115] The sound quality optimization device for vehicle retractable hood ornaments proposed in this application can collect noise analysis data during the retractable hood ornament's raising and lowering process to obtain multiple psychoacoustic parameters. Based on the correlation between these parameters and subjective noise ratings, at least one objective evaluation item for the retractable hood ornament and its corresponding objective parameter index are determined to optimize the actual index of at least one objective evaluation item. This achieves the goal of collecting sound signals received by drivers and passengers during the raising and lowering process of retractable hood ornaments of different models and types, analyzing the correlation between subjective evaluation values ​​and various psychoacoustic parameters of the retractable hood ornament, exploring the impact of each psychoacoustic parameter on the sound quality of the retractable hood ornament, and identifying the main psychoacoustic indicators affecting users' evaluation of the retractable hood ornament by comparing objective test values ​​with subjective evaluation results. This accurately identifies key parameters affecting users' auditory experience and sets clear quantitative targets for these parameters, thereby improving these indicators. Consequently, the design, optimization, and quality control process of the vehicle retractable hood ornament's sound quality becomes more targeted, efficient, and controllable, effectively enhancing the product's auditory quality and premium experience. This solves the problems in related technologies, such as relying solely on reducing the sound pressure level to optimize vehicle engine and NVH noise, lacking a specific evaluation method for the unique acoustic characteristics of rising and lowering signs, making it difficult to effectively connect with users' actual subjective perception of noise, and failing to optimize rising and lowering signs in a targeted manner, thus failing to meet the actual engineering usage and optimization needs.

[0116] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include: The memory 401, the processor 402, and the computer program stored on the memory 401 and capable of running on the processor 402.

[0117] When the processor 402 executes the program, it implements the sound quality optimization method for vehicle lifting and lowering of the sign provided in the above embodiments.

[0118] Furthermore, electronic devices also include: Communication interface 403 is used for communication between memory 401 and processor 402.

[0119] The memory 401 is used to store computer programs that can run on the processor 402.

[0120] Memory 401 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0121] If the memory 401, processor 402, and communication interface 403 are implemented independently, then the communication interface 403, memory 401, and processor 402 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized into address buses, data buses, control buses, etc. For ease of representation, Figure 4 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0122] Optionally, in a specific implementation, if the memory 401, processor 402, and communication interface 403 are integrated on a single chip, then the memory 401, processor 402, and communication interface 403 can communicate with each other through an internal interface.

[0123] Processor 402 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0124] This application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the above-described method for optimizing the sound quality of vehicle raising and lowering signposts.

[0125] This application also provides a computer program product, including a computer program that can run computer instructions. When the computer instructions are executed by a processor, they implement the sound quality optimization method for vehicle raising and lowering signage provided in this application.

[0126] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0127] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0128] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0129] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0130] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, it can be implemented using any one or more of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0131] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0132] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0133] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method of optimizing the sound quality of a vehicle lifting davit, characterized by, The method comprises the following steps: Collecting noise of a plurality of vehicles of a plurality of types during lifting of a lifting beacon to analyze the noise and obtain a plurality of psychoacoustic parameters during the lifting; Obtaining subjective scores of the noise of the lifting beacon; Analyzing correlation between the plurality of psychoacoustic parameters and the subjective scores of the noise to determine at least one objective evaluation item of the lifting beacon and a corresponding objective parameter index according to the correlation, and to optimize an actual index of the at least one objective evaluation item of the lifting beacon until the actual index reaches the objective parameter index corresponding to the at least one objective evaluation item.

2. The method of claim 1, wherein, The collecting of the noise of the plurality of vehicles of the plurality of types during the lifting of the lifting beacon comprises: Identifying power types of the plurality of vehicles; Determining a collection condition of the noise according to the power types of the plurality of vehicles to collect the noise according to the collection condition.

3. The method of claim 1, wherein, The analyzing of the correlation between the plurality of psychoacoustic parameters and the subjective scores of the noise comprises: Calculating a Pearson correlation coefficient between the plurality of psychoacoustic parameters and the subjective scores of the noise; Determining the correlation between the plurality of psychoacoustic parameters and the subjective scores of the noise according to the Pearson correlation coefficient.

4. The method of claim 3, wherein, The determining of the at least one objective evaluation item of the lifting beacon and the corresponding objective parameter index according to the correlation comprises: Screening, based on the plurality of psychoacoustic parameters, a key psychoacoustic parameter with an absolute value of the Pearson correlation coefficient greater than a target objective value to determine an objective evaluation item of the lifting beacon according to the key psychoacoustic parameter; Obtaining score values of the objective evaluation item to determine an index value of the objective parameter index according to the objective evaluation item with the score value greater than a target subjective value.

5. The method of claim 1, wherein, The optimizing of the actual index of the at least one objective evaluation item of the lifting beacon until the actual index reaches the objective parameter index corresponding to the at least one objective evaluation item comprises: Adjusting a lifting speed of the lifting beacon until the actual index reaches the objective parameter index corresponding to the at least one objective evaluation item.

6. An apparatus for optimizing the sound quality of a vehicle lift mast, comprising: The method comprises: A collecting module configured to collect noise of a plurality of vehicles of a plurality of types during lifting of a lifting beacon to analyze the noise and obtain a plurality of psychoacoustic parameters during the lifting; An obtaining module configured to obtain subjective scores of the noise of the lifting beacon; An optimizing module configured to analyze correlation between the plurality of psychoacoustic parameters and the subjective scores of the noise to determine at least one objective evaluation item of the lifting beacon and a corresponding objective parameter index according to the correlation, and to optimize an actual index of the at least one objective evaluation item of the lifting beacon until the actual index reaches the objective parameter index corresponding to the at least one objective evaluation item.

7. The apparatus of claim 6, wherein, The collecting module comprises: An identifying unit configured to identify power types of the plurality of vehicles; A collecting unit configured to determine a collection condition of the noise according to the power types of the plurality of vehicles to collect the noise according to the collection condition.

8. An electronic device, comprising: The method comprises: - a memory, a processor, and a computer program stored on the memory and runable on the processor, the processor executing the program to implement the method of optimizing sound quality of a vehicle lift mast according to any one of claims 1-5.

9. A computer-readable storage medium having stored thereon a computer program, characterized in that, The program is executed by a processor for implementing the method of optimizing sound quality of a vehicle lift mast according to any one of claims 1-5.

10. A computer program product comprising a computer program, characterized in that, The computer program is executed for implementing the method of optimizing sound quality of a vehicle lift mast according to any one of claims 1-5.

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