Vehicle evaluation method and device for abnormal noise of automobile armrest box

Abstract

The application relates to the technical field of in-vehicle noise evaluation, in particular to a vehicle evaluation method and device for automobile armrest box abnormal sound, wherein the method comprises the following steps: collecting in-vehicle abnormal sound signals and collecting vehicle vibration signals; at least one vibration feature is extracted according to the vibration signals; abnormal sound data of the automobile armrest box is determined according to the at least one vibration feature and the abnormal sound signals, and a vehicle evaluation report for the automobile armrest box abnormal sound is generated according to the abnormal sound data. Therefore, the problems that the related art focuses on abnormal sound identification and evaluation at the vehicle or large assembly level, it is difficult to accurately locate the source of the armrest box abnormal sound, the problem rectification is affected in pertinence and optimization effect, the troubleshooting cost and development cycle are increased and the like are solved.

Description

Technical Field

[0001] This application relates to the field of vehicle interior noise evaluation technology, and in particular to a vehicle-wide evaluation method and device for abnormal noise in a car armrest box. Background Technology

[0002] In related technologies, the evaluation of abnormal noises inside vehicles usually adopts a combination of subjective evaluation and objective testing. For example, sound pressure level data can be collected through whole vehicle road tests and vibration and noise testing equipment, or professional evaluators can score the noise based on sound intensity, frequency and subjective comfort, thereby achieving a comprehensive evaluation of the vehicle's NVH (Noise, Vibration and Harshness) performance. This allows for qualitative or quantitative analysis of abnormal noise problems at the vehicle level, which can improve vehicle quality control capabilities to a certain extent.

[0003] However, most related technologies focus on the identification and evaluation of abnormal noises at the whole vehicle or major assembly level, lacking a refined evaluation mechanism for local interior structural components (such as the armrest box). This makes it difficult to accurately locate the source of abnormal noises in the armrest box, thereby affecting the targeted nature and optimization effect of problem rectification, increasing development cycle and quality control costs, which urgently needs to be solved. Summary of the Invention

[0004] This application provides a vehicle-wide evaluation method and device for abnormal noise in automotive armrest boxes, in order to solve the problem that in related technologies, the focus is mostly on the identification and evaluation of abnormal noise at the whole vehicle or major assembly level, which makes it difficult to accurately locate the source of abnormal noise in the armrest box, thereby affecting the pertinence and optimization effect of problem rectification, and increasing the investigation cost and development cycle.

[0005] The first aspect of this application provides a vehicle evaluation method for abnormal noise in a car armrest box, comprising the following steps: collecting abnormal noise signals inside the vehicle and collecting vibration signals of the vehicle; extracting at least one vibration feature based on the vibration signals; determining abnormal noise data of the car armrest box based on the at least one vibration feature and the abnormal noise signals, and generating a vehicle evaluation report of the abnormal noise in the car armrest box based on the abnormal noise data.

[0006] Through the above technical means, the embodiments of this application can determine the abnormal noise data of the car armrest box based on vibration characteristics and abnormal noise signals, and then generate a whole vehicle evaluation report of abnormal noise in the car armrest box. It can conduct targeted analysis on the occurrence status, severity and stability of abnormal noise in the armrest box, and further realize the accurate location of the source of abnormal noise in the car armrest box and the identification of the problem type, thereby providing targeted optimization directions for different structural parts or assembly links.

[0007] Optionally, in one embodiment of this application, before collecting the abnormal noise signal inside the vehicle, the method further includes: identifying the actual state of the vehicle; determining whether the actual state meets the preset abnormal noise reproduction conditions; if the actual state meets the preset abnormal noise reproduction conditions, then starting the abnormal noise test simulation and entering the target abnormal noise generation condition.

[0008] Through the above technical means, the embodiments of this application can start the abnormal noise test simulation when the preset abnormal noise reproduction conditions are met. The target working condition can be repeatedly loaded and the environment restored under controllable working conditions, so that the potential abnormal noise state of the armrest box is stably excited and continuously output, thereby improving the success rate of abnormal noise problem reproduction and test consistency, avoiding the situation that it is difficult to capture transient abnormal noise under random working conditions, and providing a stable and reliable data foundation for subsequent vibration signal acquisition, acoustic feature extraction and abnormal noise source analysis.

[0009] Optionally, in one embodiment of this application, generating a vehicle evaluation report on the abnormal noise of the car armrest box based on the abnormal noise data includes: identifying the severity of the abnormal noise of the car armrest box based on the abnormal noise data; obtaining the subjective interaction evaluation of at least one user corresponding to the abnormal noise data; and generating the vehicle evaluation report based on the severity of the abnormal noise and the subjective interaction evaluation.

[0010] Through the above technical means, the embodiments of this application can generate a vehicle evaluation report based on the severity of abnormal noise and subjective interactive evaluation. The severity index of abnormal noise obtained from objective testing can be integrated and analyzed with the user's subjective perception results. Perception weights are introduced on the basis of quantitative data to achieve an organic combination of objective measurement and subjective experience. This makes the vehicle evaluation results not only accurate with data support, but also reasonable in terms of perception under actual use scenarios, thereby improving the comprehensiveness and credibility of the evaluation results.

[0011] Optionally, in one embodiment of this application, the method further includes: identifying the personal preferences of the at least one user; and adjusting the vehicle evaluation report according to the personal preferences.

[0012] Through the above technical means, the embodiments of this application can adjust the vehicle evaluation report according to the individual preferences. Within the framework of the basic evaluation results, personalized parameters such as the user's sensitive frequency band for abnormal noise, tolerance threshold, and perception weight can be introduced to differentiate the severity level of abnormal noise, risk warning method, and improvement suggestions. This makes the vehicle evaluation results more in line with the subjective perception characteristics and usage needs of different users, improves the pertinence and applicability of the evaluation report, and enhances the human-computer interaction experience and the rationality of the result interpretation.

[0013] Optionally, in one embodiment of this application, the method further includes: detecting the current environment of the vehicle; and adjusting the vehicle evaluation report based on the current environment.

[0014] Through the above technical means, the embodiments of this application can adjust the vehicle evaluation report according to the current environment. It can combine external influencing factors such as environmental noise level, road surface type, vehicle speed, and temperature and humidity to dynamically correct the threshold and risk level of abnormal noise severity. This allows the evaluation results to reflect the perception under real usage scenarios, avoids misjudgment or evaluation distortion caused by environmental interference, and improves the scenario adaptability and accuracy of the vehicle evaluation report, providing a more reliable basis for quality analysis and optimization decisions under different working conditions.

[0015] A second aspect of this application provides a vehicle evaluation device for abnormal noise in a car armrest box, comprising: a acquisition module for acquiring abnormal noise signals inside the vehicle and acquiring vibration signals of the vehicle; an extraction module for extracting at least one vibration feature based on the vibration signals; and an evaluation module for determining abnormal noise data of the car armrest box based on the at least one vibration feature and the abnormal noise signals, and generating a vehicle evaluation report of the abnormal noise in the car armrest box based on the abnormal noise data.

[0016] Optionally, in one embodiment of this application, it further includes: an identification module for identifying the actual state of the vehicle; a judgment module for judging whether the actual state meets the preset abnormal noise reproduction conditions; and a start module for starting the abnormal noise test simulation and entering the target abnormal noise generation condition if the actual state meets the preset abnormal noise reproduction conditions.

[0017] Optionally, in one embodiment of this application, the evaluation module includes: an identification unit, configured to identify the severity of abnormal noise in the car armrest box based on the abnormal noise data; an acquisition unit, configured to acquire the subjective interaction evaluation of at least one user corresponding to the abnormal noise data; and a generation unit, configured to generate the vehicle evaluation report based on the severity of the abnormal noise and the subjective interaction evaluation.

[0018] Optionally, in one embodiment of this application, it further includes: a second identification module for identifying the personal preferences of the at least one user; and a first adjustment module for adjusting the vehicle evaluation report according to the personal preferences.

[0019] Optionally, in one embodiment of this application, it further includes: an inspection module for detecting the current environment of the vehicle; and a second adjustment module for adjusting the vehicle evaluation report according to the current environment.

[0020] 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. The processor executes the program to implement the vehicle evaluation method for abnormal noise in the armrest box as described in the above embodiments.

[0021] 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 evaluating abnormal noises in a car armrest box.

[0022] The fifth aspect of this application provides a vehicle including the above-described vehicle evaluation device, electronic device, or computer-readable storage medium for evaluating abnormal noise in a car armrest box, to implement the above-described vehicle evaluation method for abnormal noise in a car armrest box.

[0023] 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

[0024] 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 vehicle evaluation method for abnormal noise in a car armrest box according to an embodiment of this application; Figure 2 A flowchart illustrating a vehicle-wide evaluation method for abnormal noise in a car armrest box, according to an embodiment of this application; Figure 3 This is a block diagram of a vehicle evaluation device for abnormal noise in a car armrest box according to an embodiment of this application; Figure 4 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application.

[0025] Figure label: 10-Vehicle evaluation device for abnormal noise in car armrest box; 100-Acquisition module, 200-Extraction module, 300-Evaluation module; 401-Memory, 402-Processor, 403-Communication interface. Detailed Implementation

[0026] 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.

[0027] The following describes a vehicle-wide evaluation method and apparatus for abnormal noise in an automotive armrest box, based on embodiments of the present application, with reference to the accompanying drawings. Addressing the technical problem mentioned in the background art, where related technologies often focus on the identification and evaluation of abnormal noise at the vehicle or major assembly level, making it difficult to accurately locate the source of abnormal noise in the armrest box, thus affecting the targeted nature and optimization effect of problem rectification, and increasing troubleshooting costs and development cycles, this application provides a vehicle-wide evaluation method for abnormal noise in an automotive armrest box. In this method, abnormal noise data of the automotive armrest box is determined based on vibration characteristics and abnormal noise signals, and a vehicle-wide evaluation report of the abnormal noise in the automotive armrest box is generated based on the abnormal noise data. This allows for targeted analysis of the occurrence status, severity, and stability of the abnormal noise in the armrest box, further achieving precise location of the source of the abnormal noise and identification of the problem type, thereby providing targeted optimization directions for different structural parts or assembly stages. Simultaneously, it transforms the evaluation method relying solely on subjective hearing into an objective judgment based on data characteristics, improving the accuracy and consistency of abnormal noise identification, and providing a reliable basis for vehicle quality assessment and subsequent structural improvements. This solves the problem that many related technologies focus on identifying and evaluating abnormal noises at the vehicle or major assembly level, making it difficult to accurately locate the source of abnormal noises in the armrest box, thus affecting the targeted nature and optimization effect of problem rectification, and increasing investigation costs and development cycles.

[0028] Specifically, Figure 1 This is a flowchart illustrating a vehicle evaluation method for abnormal noise in a car armrest box, provided in an embodiment of this application.

[0029] like Figure 1 As shown, the vehicle-wide evaluation method for the abnormal noise in the car's armrest box includes the following steps: In step S101, abnormal noise signals inside the vehicle and vibration signals of the vehicle are collected.

[0030] In the embodiments of this application, abnormal noise signals may include, but are not limited to, abnormal noise signals generated by in-vehicle structural components such as armrest box noise, dashboard noise, door panel noise, seat noise, center console trim panel noise, and headliner noise. Vibration signals may be whole-vehicle vibration signals collected under the vehicle's operating conditions to reproduce the vehicle's real vibration environment under actual road conditions or test conditions, thereby characterizing the vibration response characteristics of the armrest box under whole-vehicle excitation conditions; or they may be local vibration signals collected in the vicinity of the armrest box to improve the accuracy of capturing the vibration characteristics of the local structure of the armrest box and enhance the targeting and sensitivity of abnormal noise source identification.

[0031] It can be noted that the acquisition method can be determined by placing microphones and / or vibration sensors at corresponding locations based on the type of signal to be acquired. For acoustic signal acquisition, microphones can be placed inside the armrest box, near the contact area between the lid and the body, or at the occupant's ear position to acquire abnormal noise signals; for structural vibration signal acquisition, vibration sensors can be placed on the armrest box body, lid, locking mechanism, or its mounting support structure to acquire structural vibration signals, thereby achieving simultaneous acquisition and correlation analysis of the acoustic and vibration characteristics of abnormal noises; these settings can be configured by those skilled in the art according to the actual situation, and no specific limitations are imposed here.

[0032] Optionally, in one embodiment of this application, before collecting the abnormal noise signal inside the vehicle, the method further includes: identifying the actual state of the vehicle; determining whether the actual state meets the preset abnormal noise reproduction conditions; if the actual state meets the preset abnormal noise reproduction conditions, then starting the abnormal noise test simulation and entering the target abnormal noise generation condition.

[0033] Among them, the preset reproduction of abnormal noise conditions can be a combination of pre-set working condition parameters for triggering and stably reproducing abnormal noise from the armrest box. These can include, but are not limited to, vehicle speed range, road excitation type, acceleration amplitude, frequency range, temperature environment conditions, vehicle load status, and armrest box opening and closing status.

[0034] For example, the preset conditions for reproducing abnormal noises can be a combination of conditions such as the vehicle speed being in the range of 30-40 km / h, the vertical acceleration being greater than a certain threshold, and the armrest box being locked. Under these conditions, the vehicle is more likely to generate structural vibrations under the excitation of the road surface, which will trigger the relative movement between the armrest box body and the lid, thereby stabilizing the potential abnormal noises.

[0035] In this embodiment of the application, when the actual condition of the vehicle meets the above-mentioned preset conditions for reproducing abnormal noise, an abnormal noise test or data acquisition process can be initiated to improve the stability of abnormal noise reproduction and the repeatability of test results.

[0036] Through the above technical means, the embodiments of this application can determine that the vehicle can reproduce abnormal noise under specific working conditions, thereby locking the boundary conditions for triggering abnormal noise, ensuring that the collected signals are consistent and representative, and thus providing effective sample data for abnormal noise feature extraction.

[0037] In step S102, at least one vibration feature is extracted based on the vibration signal.

[0038] In some cases, vibration characteristics may include, but are not limited to, time-domain characteristics, frequency-domain characteristics, and time-frequency-domain characteristics. For example, time-domain characteristics may include, but are not limited to, the peak value, root mean square value, mean, and variance of the vibration signal, used to characterize the vibration intensity and impact characteristics. Frequency-domain characteristics may include, but are not limited to, the main frequency component, spectral amplitude, band energy, and spectral centroid, used to characterize the frequency distribution characteristics of the vibration signal. Time-frequency-domain characteristics may include, but are not limited to, short-time Fourier transform characteristics, wavelet packet energy characteristics, or envelope spectrum characteristics, used to reflect the frequency components of the vibration signal that change over time.

[0039] As a concrete example, vibration signals are typically time-series data acquired by a triaxial accelerometer, which can be represented as: a x (t), a y (t), a z (t), in, a x (t), a y (t), a z (t) represents triaxial acceleration; its sampling frequency is generally set to meet the analysis requirements of the target frequency band (e.g., ≥5 kHz or 10 kHz, depending on the abnormal noise frequency band).

[0040] Furthermore, the embodiments of this application can preprocess the collected vibration signals. The preprocessing may include removing the DC component, bandpass filtering, and noise suppression to eliminate the influence of low-frequency overall vehicle body vibration and environmental interference signals, thereby retaining the effective vibration components related to the armrest box noise.

[0041] Exemplary embodiments of this application may include the following steps: First, in this embodiment of the application, the sampling length can be set to... N The average values ​​of the vibration signals in each direction are as follows: , , , Subtracting the average value from the original signal yields the vibration signal after removing the DC component: , , , in, , , This is the triaxial acceleration after removing the DC component.

[0042] By removing the DC component, the embodiments of this application eliminate the influence of sensor static bias or low-frequency drift on signal analysis, making the vibration signal more accurately reflect the real vibration changes of the structure under dynamic excitation.

[0043] Subsequently, embodiments of this application can perform bandpass filtering on the triaxial acceleration after removing the DC component, and the lower cutoff frequency of the bandpass filter can be set to... The upper cutoff frequency is Through a bandpass filter By filtering the signal, we can obtain: , , , in, This indicates a convolution operation. By using bandpass filtering, the vibration signal of the frequency band related to the abnormal noise of the armrest box can be retained, while low-frequency overall vehicle body vibration and high-frequency random noise can be filtered out.

[0044] Based on bandpass filtering, the embodiments of this application can perform noise suppression processing on the signal. For example, by using a moving average filtering method, the sampling points within a certain time window are averaged, which can effectively reduce random fluctuations and make the overall signal smoother.

[0045] In actual implementation, the embodiments of this application can select the appropriate filtering method according to the actual type of noise (random noise, impulse noise or broadband noise) and the signal variation characteristics (stationary or non-stationary) to obtain a more stable and reliable vibration signal.

[0046] Optionally, in one embodiment of this application, the vibration signal is continuously collected during vehicle operation, but abnormal noises typically only occur during certain time periods. Therefore, embodiments of this application can segment the signal according to the time period of the abnormal noise occurrence and window the segmented signal to remove a large amount of background signal without abnormal noise, highlight the abnormal noise characteristics, and improve the stability of subsequent spectrum analysis.

[0047] It can be explained that since the signal will have abrupt boundary changes after being truncated and segmented, direct spectrum analysis will cause spectrum leakage. Therefore, the embodiments of this application can multiply the segmented signal by a window function, such as a Hanning window or a Hamming window, to reduce the discontinuity at the signal truncation boundary, reduce spectrum leakage, thereby improving the stability and accuracy of subsequent spectrum analysis results, and providing a reliable data foundation for abnormal noise frequency identification and vibration feature extraction.

[0048] Furthermore, embodiments of this application can extract the vibration characteristics of the preprocessed vibration signal to characterize the vibration response characteristics of the armrest box under vehicle driving excitation, providing basic data support for the generation of subsequent abnormal noise data and vehicle evaluation reports.

[0049] For example, embodiments of this application can calculate the root mean square value of the vibration signal to determine the overall vibration level of the armrest box and the energy intensity when abnormal noise occurs; they can also calculate the peak value or peak-to-peak value to determine whether there is gap collision or impact-type abnormal noise between structures.

[0050] This application embodiment can also obtain the dominant frequency and frequency band energy distribution through Fast Fourier Transform. The frequency characteristics of the vibration signal can be evaluated by the location of the dominant frequency and the energy magnitude of different frequency bands, which can be used to determine which frequency range the vibration energy is mainly concentrated in. For example, when the amplitude or energy at a certain frequency in the spectrum is significantly higher than other frequency components, that frequency can be determined as the dominant frequency of the vibration signal. Further calculation of the energy proportion of each preset frequency band (such as low frequency band, mid frequency band, and high frequency band) can be performed. When the proportion of energy in a certain frequency band to the total energy exceeds a certain threshold, it can be determined that the vibration energy is mainly concentrated in that frequency band, thereby identifying the corresponding vibration type or abnormal noise source characteristics.

[0051] For example, if the energy is mainly concentrated in the 200-500 Hz frequency band, it can be preliminarily determined that the vibration is an impact-type abnormal noise, which may be caused by hinge collision or loose gap; if it is mainly concentrated in the 50-200 Hz frequency band, it can be determined to be a continuous friction-type abnormal noise, which may be caused by the contact friction between the cover and the enclosure.

[0052] It can be noted that vibration characteristics can be extracted in conjunction with the vehicle evaluation report. The corresponding vibration characteristic parameters can be extracted from the vibration signal according to the data type required by the vehicle evaluation report, without any specific restrictions.

[0053] In step S103, abnormal noise data of the car armrest box is determined based on at least one vibration characteristic and abnormal noise signal, and a whole vehicle evaluation report of abnormal noise of the car armrest box is generated based on the abnormal noise data.

[0054] In the embodiments of this application, abnormal noise data may include, but is not limited to, abnormal noise sound pressure level, spectrum information, frequency band energy distribution, dominant frequency, spectral centroid and power spectral density, etc., to characterize the intensity characteristics and frequency distribution features of abnormal noise.

[0055] In this application, the abnormal noise sound pressure level can be obtained by calculating the sound pressure level of the abnormal noise signal; the spectrum information and main frequency can be obtained by performing a fast Fourier transform on the vibration signal or acoustic signal; the energy distribution of each frequency band can be obtained by performing energy statistics on the spectrum; the spectral centroid can be obtained by calculating the weighted average of the spectral energy on the frequency axis; and the power spectral density can be obtained by the power spectrum estimation method, thereby forming multi-dimensional abnormal noise data for characterizing the abnormal noise characteristics of the armrest box.

[0056] In embodiments of this application, the vehicle evaluation report may include objective and subjective indicators to comprehensively reflect the abnormal noise characteristics of the armrest box. Objective indicators may include sound pressure level, root mean square value of vibration (box body), root mean square value of vibration (box cover), frequency band energy, dominant frequency, spectral centroid, and power spectral density, etc., used to quantify the actual vibration and acoustic performance of the armrest box under vehicle driving excitation, reflecting the physical characteristics of the abnormal noise. Subjective indicators may include auditory perception, perceived loudness of the abnormal noise, and degree of harshness of the abnormal noise, used to reflect the degree of perception of the abnormal noise by the occupants and their subjective comfort evaluation.

[0057] For example, embodiments of this application may set the sound pressure level to be L p Root mean square value of vibration (box) R b Root mean square value of vibration (box cover) R l Frequency band energy E Average subjective rating S To eliminate the influence of dimensions, the embodiments of this application can normalize each index to obtain... These are, respectively, the sound pressure level, the root mean square value of vibration (box body), the root mean square value of vibration (box cover), the frequency band energy, and the normalized index of the average subjective score.

[0058] Furthermore, in this embodiment of the application, the objective abnormal noise index can be defined as: , in, Indicates the weighting coefficient. , To improve the consistency between evaluation and user perception, this application also introduces a subjective weighting coefficient. The subjective and objective integration anomaly index is obtained as follows: , in, Indicates weighting coefficient .

[0059] Finally, the comprehensive abnormal noise index can be obtained from the embodiments of this application: , The higher the value, the quieter the abnormal noise.

[0060] This application's embodiments generate a vehicle evaluation report on armrest box noise based on a comprehensive abnormal noise index. This report combines objective vibration and acoustic data with subjective auditory evaluation to achieve a comprehensive quantitative assessment of the severity of armrest box noise, avoiding biases introduced by subjective human evaluations and preventing the neglect of occupant perception differences or comfort factors that might be overlooked when relying solely on objective data. By combining objective data with standardized subjective scoring, a comprehensive, quantitative, and comparable evaluation of armrest box noise can be achieved, providing a more accurate basis for determining noise severity, locating the source, and optimizing the vehicle structure.

[0061] Optionally, in one embodiment of this application, generating a vehicle evaluation report on abnormal noise in the car armrest box based on abnormal noise data includes: identifying the severity of abnormal noise in the car armrest box based on the abnormal noise data; obtaining the subjective interaction evaluation of at least one user corresponding to the abnormal noise data; and generating a vehicle evaluation report based on the severity of abnormal noise and the subjective interaction evaluation.

[0062] It can be noted that the user's subjective interactive evaluation may include, but is not limited to, scoring or rating the degree of perceived loudness, harshness, frequency of occurrence, duration, impact on driving comfort, and acceptability of the abnormal noise, in order to reflect the user's subjective feelings about the abnormal noise of the armrest box.

[0063] As a concrete example, user subjective interaction evaluations can be presented as shown in Table 1. By using standardized evaluation dimensions and rating levels, the user subjective evaluation process can be standardized, reducing evaluation bias caused by individual differences in expression, and improving the structure and comparability of subjective data. Table 1 is the user subjective interaction evaluation table.

[0064] Table 1

[0065] This application embodiment can integrate and analyze the objective severity of abnormal noise determined based on abnormal noise data with the user's subjective interactive evaluation, thereby establishing a comprehensive abnormal noise evaluation model that combines objective indicators and subjective perception experience, and improving the consistency between the evaluation results and the actual user experience.

[0066] Optionally, in one embodiment of this application, the vehicle evaluation method for abnormal noise in the car armrest box further includes: identifying the personal preferences of at least one user; and adjusting the vehicle evaluation report according to the personal preferences.

[0067] Personal preference can refer to individual differences among users in their sensitivity, tolerance, and attention to abnormal noises during vehicle use. Because different users have varying abilities to perceive sound and their subjective acceptance, the same abnormal noise may be perceived as having different degrees of severity by different users.

[0068] Therefore, when generating a vehicle evaluation report, the severity level of abnormal noise, evaluation weight, or prompt information can be adjusted according to the user's personal preferences, so that the evaluation results are more in line with the user's subjective perception characteristics. This can provide users with customized services, which not only retain the scientific nature of objective quantitative analysis, but also take into account the differences in different users' sensitivity to abnormal noise and comfort needs, thereby improving the relevance and practicality of the evaluation.

[0069] For example, for users who have high requirements for quietness, the weight of abnormal noise sound pressure level and frequency band energy index in the comprehensive score can be increased; for users who are more concerned about structural reliability, the display and scoring weight of vibration characteristics and abnormal noise frequency index can be strengthened, thereby generating a whole vehicle evaluation report that meets the needs of different users, so as to more accurately reflect the actual performance of armrest box abnormal noise and the user's focus, improve the pertinence and reference of the evaluation results, and facilitate targeted improvement and optimization of vehicle interior structure design.

[0070] Optionally, in one embodiment of this application, the vehicle evaluation method for abnormal noise in the car armrest box further includes: detecting the current environment of the vehicle; and adjusting the vehicle evaluation report according to the current environment.

[0071] The current environment can include vehicle speed, road conditions, vehicle load, and number of occupants, all of which can affect the generation, propagation, and user perception of abnormal noises. Therefore, when generating a vehicle evaluation report, the evaluation results can be adjusted accordingly based on the current environment.

[0072] For example, in low-speed urban driving environments, low-frequency vibrations (such as body swaying and slight armrest box swaying) are more easily perceived by passengers, directly affecting comfort. In this case, the weight of low-frequency vibrations and intermittent abnormal noises in the overall score can be increased. In high-speed driving environments, airflow noise, road noise, and structural resonance in the vehicle will generate more mid-to-high frequency noise, and passengers are more sensitive to this type of noise. In this case, the proportion of mid-to-high frequency sound pressure level and continuous noise indicators can be increased. Under bumpy road or speed bump conditions, impact-type abnormal noises and peak vibration characteristic indicators can be highlighted to generate a vehicle evaluation report adapted to the current environment.

[0073] The following is a specific example, such as Figure 2 As shown, the vehicle-wide evaluation method for abnormal noise in the armrest box of an automobile according to the embodiments of this application will be further described; it may include the following steps: In step S201, the vehicle status is checked: In the embodiments of this application, the overall condition of the test vehicle is checked and confirmed, including but not limited to the vehicle assembly status, armrest box installation status, locking mechanism status, and whether the items inside the vehicle have been emptied, to confirm that the problematic vehicle can stably reproduce the abnormal noise under specific operating conditions. The embodiments of this application can be used to lock the abnormal noise triggering conditions, ensuring the stability and repeatability of the test object and operating conditions, avoiding distortion of test results due to accidental factors, and providing a reliable foundation for subsequent data collection.

[0074] In step S202, the sensors are arranged as follows: Further, check whether the microphone and triaxial accelerometer are functioning properly; install the sensors according to the set layout plan, placing one microphone on the right side of the driver's headrest (simulating the driver's ear position), and placing vibration sensors on the armrest box body and lid respectively, which can realize the synchronous acquisition of acoustic signals and structural vibration signals; by placing multiple points to obtain the vibration response differences of different structural parts, data support can be provided for locating the source of abnormal noise and analyzing the relative motion of the structure.

[0075] In step S203, the test equipment is connected: In this embodiment, the data acquisition device can be connected to a microphone, a triaxial accelerometer, and a computer respectively to check the power supply status, sampling frequency settings, and signal channel correspondence. After confirming that the connection is normal, a trial sampling verification can be performed.

[0076] In step S204, abnormal noise data are collected under different road surface excitations: In this embodiment, the vehicle can travel at a specified speed on a reinforced bad road or a set excitation road surface, and collect data when the preset abnormal noise reproduction conditions are met; each working condition can be repeated three times or more, and the acoustic data, vibration data and corresponding working condition parameters are recorded completely.

[0077] In step S205, test data processing: In the embodiments of this application, the frequency range corresponding to the abnormal noise of the armrest box is determined by repeatedly playing back the in-vehicle noise data; the raw data collected by each sensor is filtered, time-domain truncation and spectrum analysis are performed to extract the frequency band data related to the abnormal noise, and valid test samples are saved to eliminate irrelevant background noise and interference signals, highlight the characteristics of the abnormal noise of the armrest box, and provide a standardized data basis for subsequent severity assessment and source determination.

[0078] In step S206, the test data is scored: As a specific example, in this embodiment of the application, three or more professional noise engineers can subjectively evaluate and score the overall noise performance of the armrest box by playing back audio data; the average score is taken as the subjective evaluation result under this working condition.

[0079] In step S207, the evaluation results are recorded and archived: Finally, this application embodiment can store the abnormal noise data of the armrest box of the vehicle model under the working condition and the corresponding scoring results; after structural optimization, the improved armrest box is repeatedly tested and evaluated according to the same process to compare the improvement effect of abnormal noise.

[0080] The vehicle evaluation method for abnormal noise in the armrest box proposed in this application determines the abnormal noise data of the armrest box based on vibration characteristics and abnormal noise signals, and generates a vehicle evaluation report on the abnormal noise of the armrest box based on the abnormal noise data. This method can perform targeted analysis on the occurrence status, severity, and stability of the abnormal noise in the armrest box, and further realize the accurate location of the source of the abnormal noise and the identification of the problem type, thereby providing targeted optimization directions for different structural parts or assembly links. At the same time, it can transform the evaluation method that relies solely on subjective hearing into an objective judgment based on data characteristics, improve the accuracy and consistency of abnormal noise identification, and provide a reliable basis for vehicle quality assessment and subsequent structural improvements.

[0081] Next, referring to the accompanying drawings, a vehicle evaluation device for abnormal noise in the car armrest box according to an embodiment of this application is described.

[0082] Figure 3 This is a block diagram of a vehicle evaluation device for abnormal noise in the armrest box of an automobile, according to an embodiment of this application.

[0083] like Figure 3 As shown, the vehicle evaluation device 10 for abnormal noise in the car armrest box includes: a data acquisition module 100, an extraction module 200, and an evaluation module 300.

[0084] The acquisition module 100 is used to acquire abnormal noise signals inside the vehicle and to acquire vibration signals of the vehicle.

[0085] Extraction module 200 is used to extract at least one vibration feature based on the vibration signal.

[0086] Evaluation module 300 is used to determine the abnormal noise data of the car armrest box based on at least one vibration characteristic and abnormal noise signal, and to generate a whole vehicle evaluation report on the abnormal noise of the car armrest box based on the abnormal noise data.

[0087] Optionally, in one embodiment of this application, the vehicle evaluation device 10 for abnormal noise in the car armrest box further includes: an identification module, a judgment module, and a start module.

[0088] The identification module is used to identify the actual state of the vehicle.

[0089] The judgment module is used to determine whether the actual state meets the preset conditions for reproducing abnormal noise.

[0090] The startup module is used to start the abnormal noise test simulation and enter the target abnormal noise generation condition if the actual state meets the preset abnormal noise reproduction conditions.

[0091] Optionally, in one embodiment of this application, the evaluation module 300 includes: an identification unit, an acquisition unit, and a generation unit.

[0092] The identification unit is used to identify the severity of abnormal noises from the car's armrest box based on the abnormal noise data.

[0093] The acquisition unit is used to acquire the subjective interaction evaluation of at least one user corresponding to the abnormal noise data.

[0094] The generation unit is used to generate a vehicle evaluation report based on the severity of abnormal noises and subjective interactive evaluations.

[0095] Optionally, in one embodiment of this application, the vehicle evaluation device 10 for abnormal noise in the car armrest box further includes: a second identification module and a first adjustment module.

[0096] The second identification module is used to identify the personal preferences of at least one user.

[0097] The first adjustment module is used to adjust the overall vehicle evaluation report according to personal preferences.

[0098] Optionally, in one embodiment of this application, the vehicle evaluation device 10 for abnormal noise in the car armrest box further includes: an inspection module and a second adjustment module.

[0099] The inspection module is used to detect the current environment of the vehicle.

[0100] The second adjustment module is used to adjust the vehicle evaluation report according to the current environment.

[0101] It should be noted that the explanation of the above-mentioned vehicle evaluation method embodiment for abnormal noise in car armrest box also applies to the vehicle evaluation device for abnormal noise in car armrest box in this embodiment, and will not be repeated here.

[0102] The vehicle evaluation device for abnormal noise in the armrest box according to the embodiments of this application determines the abnormal noise data of the armrest box based on vibration characteristics and abnormal noise signals, and generates a vehicle evaluation report on the abnormal noise of the armrest box based on the abnormal noise data. It can perform targeted analysis on the occurrence status, severity and stability of the abnormal noise in the armrest box, and further realize the accurate location of the source of the abnormal noise and the identification of the problem type, thereby providing targeted optimization directions for different structural parts or assembly links. At the same time, it can transform the evaluation method that relies solely on subjective hearing into an objective judgment based on data characteristics, improve the accuracy and consistency of abnormal noise identification, and provide a reliable basis for vehicle quality assessment and subsequent structural improvement.

[0103] 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.

[0104] When processor 402 executes the program, it implements the vehicle evaluation method for abnormal noise in the car armrest box provided in the above embodiments.

[0105] Furthermore, electronic devices also include: Communication interface 403 is used for communication between memory 401 and processor 402.

[0106] The memory 401 is used to store computer programs that can run on the processor 402.

[0107] Memory 401 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0108] 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 as 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.

[0109] 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.

[0110] 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.

[0111] This embodiment also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the above-described vehicle evaluation method for abnormal noise in a car armrest box.

[0112] This application embodiment also provides a vehicle, including the above-mentioned vehicle evaluation device, electronic device, or computer-readable storage medium for evaluating abnormal noise in the car armrest box, to implement the vehicle evaluation method for abnormal noise in the car armrest box provided in this application embodiment.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] 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.

[0117] 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.

[0118] 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.

[0119] 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.

[0120] 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 vehicle-wide evaluation method for abnormal noise in a car's armrest box, characterized in that, Includes the following steps: Collect abnormal noise signals inside the vehicle and collect vibration signals from the vehicle; At least one vibration feature is extracted from the vibration signal; The abnormal noise data of the car armrest box is determined based on the at least one vibration characteristic and the abnormal noise signal, and a vehicle evaluation report on the abnormal noise of the car armrest box is generated based on the abnormal noise data.

2. The method according to claim 1, characterized in that, Before collecting abnormal noise signals inside the vehicle, the process also includes: Identify the actual state of the vehicle; Determine whether the actual state meets the preset conditions for reproducing the abnormal noise; If the actual state meets the preset abnormal noise reproduction conditions, then the abnormal noise test simulation is started, and the target abnormal noise generation condition is entered.

3. The method according to claim 1, characterized in that, The process of generating a vehicle evaluation report for the abnormal noise in the car armrest box based on the abnormal noise data includes: The severity of the abnormal noise in the car armrest box is identified based on the abnormal noise data; Obtain the subjective interaction evaluation of at least one user corresponding to the abnormal noise data; The vehicle evaluation report is generated based on the severity of the abnormal noise and the subjective interactive evaluation.

4. The method according to claim 3, characterized in that, Also includes: Identify the personal preferences of the at least one user; The vehicle evaluation report is adjusted based on the individual's preferences.

5. The method according to claim 3, characterized in that, Also includes: Detect the current environment of the vehicle; The vehicle evaluation report is adjusted based on the current environment.

6. A vehicle evaluation device for abnormal noise in a car armrest box, characterized in that, include: The acquisition module is used to collect abnormal noise signals inside the vehicle and to collect vibration signals from the vehicle. The extraction module is used to extract at least one vibration feature based on the vibration signal; An evaluation module is used to determine the abnormal noise data of the car armrest box based on the at least one vibration characteristic and the abnormal noise signal, and to generate a vehicle evaluation report on the abnormal noise of the car armrest box based on the abnormal noise data.

7. The apparatus according to claim 6, characterized in that, Also includes: The identification module is used to identify the actual state of the vehicle; The judgment module is used to determine whether the actual state meets the preset conditions for reproducing abnormal noise; The startup module is used to start the abnormal noise test simulation and enter the target abnormal noise generation condition if the actual state meets the preset abnormal noise reproduction conditions.

8. An electronic device, characterized in that, include: The system includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the program to implement the vehicle evaluation method for abnormal noise in the armrest box as described in any one of claims 1-5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the vehicle evaluation method for abnormal noise in the armrest box as described in any one of claims 1-5.

10. A vehicle, characterized in that, The vehicle includes the vehicle evaluation device for abnormal noise in the armrest box as described in claims 6-7, or the electronic device as described in claim 8, or the computer-readable storage medium as described in claim 9.

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