Vehicle door closing sound quality detection method and device, electronic equipment and storage medium

Abstract

The invention discloses a vehicle door closing sound quality detection method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a door closing sound signal of a to-be-detected vehicle; according to the door closing sound signal and a constructed door closing sound quality detection model, a door closing sound quality detection result of the to-be-detected vehicle is generated, and the constructed door closing sound quality detection model comprises a calculation unit of door closing sound quality objective evaluation parameters. The door closing sound quality objective evaluation parameters are objective quantitative parameters of door closing sound quality subjective evaluation. Therefore, the sound quality of the frameless vehicle door is effectively detected or evaluated, more efficient and systematic performance management and control on the door closing sound quality of the frameless vehicle door are facilitated, and the user experience feeling is enhanced.

Description

Technical Field

[0001] The present application relates to the automotive field, and in particular to a method, device, electronic device and storage medium for detecting the quality of vehicle door closing sound. Background Art

[0002] With the rapid development of the automobile industry, users' requirements for vehicle comfort are constantly increasing, among which the NVH performance of vehicles has attracted much attention. At present, users' requirements for NVH performance are not limited to the level of noise, but they are more pursuing the quality of the sound of the whole vehicle. The quality of the door closing sound directly affects the user experience. Therefore, the control of the door closing sound quality is of great significance.

[0003] At present, frameless car doors are becoming more and more common. How to effectively detect or evaluate the sound quality of frameless car doors, achieve more efficient and systematic performance control of the closing sound quality of frameless car doors, and enhance user experience has become an urgent problem to be solved. Summary of the invention

[0004] Based on this, it is necessary to provide a vehicle door closing sound quality detection method, device, electronic device and storage medium to address the above-mentioned technical problems, so as to effectively detect or evaluate the sound quality of frameless doors, facilitate more efficient and systematic performance control of the closing sound quality of frameless doors, and enhance user experience.

[0005] A vehicle door closing sound quality detection method, comprising:

[0006] Obtaining a door closing sound signal of the vehicle to be detected;

[0007] According to the door closing sound signal and the constructed door closing sound quality detection model, the door closing sound quality detection result of the vehicle to be detected is generated, wherein the constructed door closing sound quality detection model includes a calculation unit of the objective evaluation parameter of the door closing sound quality, and the objective evaluation parameter of the door closing sound quality is an objective quantitative parameter of the subjective evaluation of the door closing sound quality.

[0008] A vehicle door closing sound quality detection device, comprising:

[0009] An acquisition module, used to acquire a door closing sound signal of a vehicle to be detected;

[0010] The detection module is used to generate a door closing sound quality detection result of the vehicle to be detected according to the door closing sound signal and the constructed door closing sound quality detection model, wherein the constructed door closing sound quality detection model includes a calculation unit for objective evaluation parameters of door closing sound quality, and the objective evaluation parameters of door closing sound quality are objective quantitative parameters of subjective evaluation of door closing sound quality.

[0011] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the vehicle door closing sound quality detection method as described above are implemented.

[0012] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned vehicle door closing sound quality detection method.

[0013] In summary, the present application proposes a vehicle door closing sound quality detection method, device, electronic device and storage medium, which detects the door closing sound signal of the vehicle to be detected by constructing a door closing sound quality detection model, and specifically calculates the corresponding objective evaluation parameter value of the door closing sound signal by the calculation unit of the door closing sound quality objective evaluation parameter in the constructed door closing sound quality detection model, wherein the door closing sound quality objective evaluation parameter is an objective quantitative parameter of the subjective evaluation of the door closing sound quality, and the door closing sound quality objective evaluation parameter value can be used to predict the door closing sound quality subjective evaluation score. That is, the above objective evaluation parameter value can be used to characterize the user's subjective evaluation of the door closing sound signal to a certain extent, thereby predicting the user's acceptance of the door closing sound of the vehicle to be detected, thereby realizing effective inspection of the sound quality of the frameless door, and performing efficient system control on the vehicle's performance in the direction of sound quality based on the detection results, so as to ensure or even enhance the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments of the present application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0015] Figure 1 is a flow chart of a vehicle door closing sound quality detection method according to an exemplary embodiment of the present application;

[0016] Figure 2 is a schematic diagram of door closing sound signal measurement points in a vehicle door closing sound quality detection method according to an exemplary embodiment of the present application;

[0017] Figure 3 is a flow chart of another vehicle door closing sound quality detection method according to an exemplary embodiment of the present application;

[0018] Figure 4 is a flowchart of constructing a door closing sound quality detection model in a vehicle door closing sound quality detection method according to an exemplary embodiment of the present application;

[0019] Figure 5is a wavelet analysis spectrum diagram of a door closing sound sample in a vehicle door closing sound quality detection method according to an exemplary embodiment of the present application;

[0020] Figure 6 is a corresponding relationship diagram of the subjective evaluation score of the door closing sound quality and the objective evaluation parameter value when the evaluation dimension is the vibration in the embodiment of the present application;

[0021] Figure 7 is a corresponding relationship diagram of the subjective evaluation score of the door closing sound quality and the objective evaluation parameter value when the evaluation dimension is metallic feeling in the embodiment of the present application;

[0022] Figure 8 is a corresponding relationship diagram of the subjective evaluation score of the door closing sound quality when the evaluation dimension is the drum sound and the objective evaluation parameter value in the embodiment of the present application;

[0023] Fig. 9 is a block diagram of a door closing sound quality detection device according to an exemplary embodiment of the present application;

[0024] Fig.10 is a structural schematic diagram of an electronic device according to an exemplary embodiment of the present application;

[0025] Fig.11 is another structural schematic diagram of an electronic device according to an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. The embodiments described by reference to the drawings are exemplary and are intended to be used to explain the present application, and cannot be understood as limiting the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0027] Figure 1 FIG. 1 is a flow chart of a vehicle door closing sound quality detection method according to an exemplary embodiment of the present application. Figure 1 As shown, the vehicle door closing sound quality detection method includes the following steps:

[0028] S101, obtaining a door closing sound signal of a vehicle to be detected.

[0029] The vehicle door closing sound quality detection method of the embodiment of the present application can be applied to the door closing sound quality detection scenario of a frameless vehicle door, and can be performed by the vehicle door closing sound detection device provided by the embodiment of the present application, and the vehicle door closing sound quality detection device can be set in an electronic device.

[0030] In the embodiment of the present application, a vehicle to be detected is determined as a detection target. For example, the vehicle to be detected may be a newly produced vehicle that has not been put on the market or a vehicle that has been put into use.

[0031] The door closing sound signal of the vehicle to be detected is collected by a sound collection device. It should be noted that the door closing sound signal collected in the embodiment of the present application needs to include the sound signal of the complete door closing process. In some implementations, the sound signal 0.5s before the door closing moment and 1s after the door is closed can be included in the door closing sound signal to ensure that the objective evaluation parameters can be calculated. It is not difficult to understand that the above "0.5s" and "1s" are only exemplary values, the purpose of which is to ensure that the complete door closing sound can be collected when the door is closed. Therefore, the values ​​can be adjusted as needed, and this application does not limit them.

[0032] In addition, when collecting acoustic signals, the reliability of acoustic signal data can be enhanced by avoiding interference from other noises or filtering out other noises in the acoustic signals.

[0033] In some embodiments, the door closing sound signal can be collected under the following working conditions to better match the door closing sound subjectively felt by the user: the car door is closed at a closing speed of 1.2m / s, and the door closing sound signal is collected using a noise signal collection system (such as an artificial head and binaural collection system), wherein the collection frequency of the noise signal collection system is set to 44.1KHZ. Figure 2 The door closing sound signal measurement point is shown with a collection device such as an artificial head / binaural microphone.

[0034] S102, generating a door closing sound quality detection result of the vehicle to be detected according to the door closing sound signal and the constructed door closing sound quality detection model, wherein the constructed door closing sound quality detection model includes a calculation unit for an objective evaluation parameter of the door closing sound quality, and the objective evaluation parameter of the door closing sound quality is an objective quantitative parameter of the subjective evaluation of the door closing sound quality.

[0035] In the embodiment of the present application, when the door closing sound quality detection model is used to detect the door closing sound quality of the door closing sound signal of the vehicle to be detected, the door closing sound quality objective evaluation parameter value is calculated for the door closing sound signal mainly through the calculation unit of the door closing sound quality objective evaluation parameter in the model. The door closing sound quality objective evaluation parameter is an objective quantitative parameter for the subjective evaluation of the door closing sound quality, that is, the user's subjective feeling / subjective evaluation is quantified into a specific numerical value through the parameter. The value of the parameter is calculated according to the preset objective operation logic, that is, the door closing sound quality objective evaluation parameter value, and the user's subjective evaluation score for the door closing sound can be predicted through the door closing sound quality objective evaluation parameter value. The objective evaluation parameter can also be understood as a quantitative parameter for subjective feelings, and the user's acceptance of the door closing sound of the vehicle to be detected can be predicted through the door closing sound quality objective evaluation parameter value.

[0036] Therefore, the door closing sound quality of the vehicle to be tested can be effectively tested through the door closing sound quality detection model, and the door closing sound quality of the vehicle to be tested can be displayed to the manufacturer or seller by generating test results; with the help of the prediction of the user's subjective feelings and subjective evaluation, the door closing sound quality can be improved in a targeted manner, and the vehicle's sound quality performance can be managed and controlled more efficiently and systematically, and optimized in time, thereby enhancing the user experience.

[0037] Based on the above embodiments, Figure 3 As shown, in the embodiment of the present application, the above step S102, "generating a door closing sound quality detection result of the vehicle to be detected according to the door closing sound signal and the constructed door closing sound quality detection model" also includes the following steps:

[0038] S301, inputting a door closing sound signal of a vehicle to be detected into a calculation unit of a door closing sound quality objective evaluation parameter to obtain a door closing sound quality objective evaluation parameter value of the door closing sound signal.

[0039] S302: Determine whether the door closing sound quality objective evaluation parameter value exceeds a preset threshold value corresponding to the door closing sound quality objective evaluation parameter value.

[0040] In the embodiment of the present application, it is determined whether the objective evaluation parameter value of the door closing sound quality exceeds the corresponding preset threshold value. It is not difficult to understand that the preset threshold value is a critical value for ensuring the quality of the vehicle door closing sound.

[0041] S303: In response to the existence of a door closing sound quality objective evaluation parameter value exceeding a corresponding preset threshold, determining the door closing sound quality detection result as a sound quality detection abnormality.

[0042] In an embodiment of the present application, the number of objective evaluation parameters of the door closing sound quality may be one or more. When one or more objective evaluation parameter values ​​of the door closing sound quality exceed their corresponding preset thresholds, it is considered that the objective evaluation of the door closing sound quality of the vehicle to be detected does not meet the standard, and it is predicted that the user's subjective evaluation score for the door closing sound quality is low, the user acceptance is poor, the door closing sound quality cannot be guaranteed, and there is a door closing sound quality problem, thereby determining the door closing sound quality detection result of the vehicle to be detected as a sound quality detection abnormality.

[0043] S304: In response to the absence of a door closing sound quality objective evaluation parameter value exceeding a corresponding preset threshold, determining the door closing sound quality detection result as normal.

[0044] In the embodiment of the present application, when all the objective evaluation parameter values ​​of the door closing sound quality do not exceed the corresponding preset thresholds, it is considered that the door closing sound quality of the vehicle to be tested can meet a certain user acceptance level, and there is no door closing sound quality problem, and the door closing sound quality detection result is determined as normal sound quality detection.

[0045] In the embodiment of the present application, objective quantification of subjective feelings is achieved through objective evaluation parameters of door closing sound quality. For a door closing sound signal, the user's reception degree of the door closing sound (i.e., the subjective evaluation score of the door closing sound) is predicted by calculating the objective evaluation parameter value of the signal. By setting a limit value (i.e., the preset threshold corresponding to each of the above objective evaluation parameters), it is detected whether the door closing sound signal meets the user's subjective reception degree. Rapid diagnosis of sound quality problems is achieved. This application combines subjective and objective factors, and performs door closing sound quality detection on vehicles from the user's perspective. The vehicle sound quality is performance-controlled based on the detection results, which can enhance the user experience.

[0046] In some embodiments, vehicle subsystems corresponding to objective evaluation parameters of door closing sound quality are predetermined, such as glass lifting system, door sealing strip system, door lock system and door outer panel, etc. When the objective evaluation parameter value of door closing sound quality exceeds the corresponding preset threshold, the vehicle subsystem corresponding to the objective evaluation parameter of door closing sound quality is determined as the subsystem to be optimized, and displayed through the door closing sound detection result. This method can more quickly locate the subsystem with door closing sound quality problems and optimize it, thereby improving the efficiency of sound quality performance development, more efficiently realizing vehicle performance control, and improving sound quality performance, thereby enhancing product competitiveness.

[0047] This application also provides a method for constructing the above-mentioned door closing sound quality detection model. Figure 4 As shown, Figure 4 The flowchart of constructing a door closing sound quality detection model in a vehicle door closing sound quality detection method according to an exemplary embodiment of the present application includes the following steps:

[0048] S401, determining a subjective evaluation dimension of door closing sound quality, and obtaining a subjective evaluation score corresponding to a door closing sound sample in the subjective evaluation dimension.

[0049] In some embodiments, several subjective evaluation dimensions of the door closing sound quality are determined based on the characteristics of the door closing sound and the subjective auditory perception attributes, and then through questionnaire surveys and statistical analysis, N dimensions that most affect the door closing sound quality are finally determined, and each dimension corresponds to a subjective feeling.

[0050] In the embodiment of the present application, the above-mentioned subjective evaluation dimensions include but are not limited to vibration, metallic feeling and drum sound.

[0051] Correspondingly, the vibration feeling can indicate the feeling of multiple impact sounds and dragging sounds in the sound of closing the door; the metallic feeling can indicate the metal impact sound of the door lock in the sound of closing the door, a sharper metallic sound; the drum sound can indicate the feeling of the tail sound of a drum with "bang" or "dong" sounds in the sound of closing the door.

[0052] In the embodiment of the present application, a multi-dimensional subjective evaluation experiment is conducted based on the semantic segmentation method to obtain the subjective evaluation score of the door closing sound quality in each dimension.

[0053] In addition, to ensure the validity of the data, after obtaining the subjective evaluation score, it is necessary to perform optimization processing such as data screening and elimination. For example, first use the interquartile range method to eliminate outlier scores, and then take the mean of the valid data as the subjective evaluation score result of the corresponding door closing sound sample. And through methods such as the Grubbs test, ensure the validity of the subjective evaluation score results.

[0054] S402, determining candidate objective evaluation parameters corresponding to the subjective evaluation dimension, and calculating values ​​of the candidate objective evaluation parameters of the door closing sound sample.

[0055] In the embodiment of the present application, based on the objective psychoacoustic parameters and combined with the subjective feelings of the above-mentioned subjective evaluation dimensions, the spectrum of the transient door closing sound signal is analyzed by wavelet analysis to propose candidate objective evaluation parameters corresponding to each subjective evaluation dimension.

[0056] Among them, the objective parameters of psychoacoustics are objective physical quantities that describe the degree of difference in subjective perception caused by different sound signals. By using the objective parameters of psychoacoustics to analyze sound signals, we can quantitatively analyze the difference in auditory perception and eliminate the influence of personal subjective perception. Commonly used objective parameters of psychoacoustics include loudness, sharpness, fluctuation, roughness and psychoacoustic irritability.

[0057] Optionally, the present application uses the time domain loudness of the sound signal as a parameter for calculating the flutter index, and uses the flutter index to quantify people's subjective feelings about multiple impact sounds in the door closing sound;

[0058] That is, when the subjective evaluation dimension is vibration, the vibration index R is determined as the candidate objective evaluation parameter corresponding to the vibration, where the calculation formula of the vibration index R is:

[0059]

[0060] Wherein, R represents the vibration index, L(t) represents the time domain loudness of the sound signal corresponding to the door closing sound sample, and t0 represents the moment when the first impact sound of the door closing sound sample ends.

[0061] The acoustic signal of the door closing sound sample may be input into the sound quality parameter calculation software (Artemis), and the time domain loudness L(t) of the frameless door closing sound may be calculated according to the international standard ISO 532 loudness algorithm.

[0062] Optionally, the present application uses the time domain sharpness of the sound signal as a parameter for calculating the metal feeling index, and uses the metal feeling index to quantify people's subjective feelings about the metal impact sound in the door closing sound;

[0063] That is, when the subjective evaluation dimension is metallic feeling, the metallic feeling index M is determined as the candidate objective evaluation parameter corresponding to the metallic feeling, where the calculation formula of the metallic feeling index M is:

[0064]

[0065] Wherein, M represents the metallic index, S(t) represents the time domain sharpness of the sound signal corresponding to the door closing sound sample, and t0 represents the moment when the first impact sound of the door closing sound sample ends.

[0066] The raw signal of the door closing sound sample can be input into the sound quality parameter calculation software (Artemis), and the time domain sharpness S(t) of the frameless door closing sound can be calculated according to the Aures sharpness algorithm.

[0067] Optionally, the present application uses the time domain loudness of the sound signal in a preset frequency band as a parameter for calculating the drum sound index, and quantifies people's subjective feelings about the drum sound in the door closing sound through the drum sound index;

[0068] That is, when the subjective evaluation dimension is drumming sound, the drumming sound index D is determined as the candidate objective evaluation parameter corresponding to the drumming sound, wherein the calculation formula of the drumming sound index D is:

[0069]

[0070] Where D represents the drumming sound index, L LF (t) represents the time domain loudness of the door closing sound sample in the preset frequency band.

[0071] In this application, the preset frequency band can be selected from 20-500 Hz, without specific limitation.

[0072] In the embodiment of the present application, the above parameter t0 can be determined by wavelet analysis of the spectrum diagram, such as Figure 5 As mentioned above, in order to ensure that the objective evaluation parameters can be calculated, the door closing sound signal needs to include the sound signals 0.5s before and 1s after the door closing moment.

[0073] S403, performing subjective and objective evaluation correlation analysis on the subjective evaluation scores and candidate objective evaluation parameter values ​​corresponding to the same dimension.

[0074] Through the above steps, the subjective evaluation scores of each dimension corresponding to each door closing sound sample and the candidate objective evaluation parameter values ​​corresponding to each dimension can be obtained.

[0075] like Figure 6 As shown, there are corresponding subjective evaluation scores in the subjective evaluation dimension of vibration feeling, such as Figure 6 The vertical axis represents the vibration score, and the candidate objective evaluation parameter values ​​​​— such as Figure 6 The horizontal axis represents the value of the vibration index.

[0076] In the embodiment of the present application, a correlation analysis is performed between the subjective evaluation score of each dimension and the candidate objective evaluation parameter value corresponding to the dimension to determine whether the candidate objective evaluation parameter value has a strong correlation with the subjective evaluation score.

[0077] S404: Determine objective evaluation parameters of door closing sound quality corresponding to the subjective evaluation dimension according to the result of the correlation analysis of the subjective and objective evaluations.

[0078] In the embodiment of the present application, if the value of the correlation between the subjective and objective evaluations exceeds the correlation threshold, the candidate objective evaluation parameter is determined as the objective evaluation parameter of the door closing sound quality;

[0079] If the value of the correlation between the subjective and objective evaluations does not exceed the correlation threshold, the candidate objective evaluation parameters are discarded.

[0080] That is, if the correlation reaches the preset condition (i.e. exceeds the above correlation threshold), it is considered that the candidate objective evaluation parameter has a high correlation with the subjective evaluation and can be used for subjective evaluation prediction and objective quantification of subjective feelings;

[0081] It is determined that the candidate objective evaluation parameter can be used as the objective evaluation parameter of the door closing sound quality under the corresponding dimension, and the door closing sound objective evaluation parameter can effectively predict the subjective evaluation of the door closing sound quality under the dimension.

[0082] In the embodiment of the present application, the above correlation threshold may be set at 0.7, without specific limitation.

[0083] S405: constructing a door closing sound quality detection model based on the door closing sound quality objective evaluation parameters.

[0084] As a feasible implementation method, the calculation formulas of the vibration index, the metal feel index and the drum sound index are respectively used as calculation units of the objective evaluation parameters of the door closing sound quality in the door closing sound quality detection model.

[0085] The embodiment of the present application evaluates the sound quality of a frameless vehicle door from multiple subdivided subjective dimensions, and diagnoses the door closing sound quality problem through objective evaluation parameters, thereby proposing an effective door closing sound quality detection method that combines subjective and objective factors.

[0086] In addition, in some embodiments, based on the characteristics of the door closing sound, the three subjective evaluation dimensions of the frameless door sound quality, namely, vibration, metal feeling, and drum sound, correspond to the subsystems of the glass lifting system and the door sealing strip system, the door lock system, the door outer panel sheet metal, etc. When performing the door closing sound quality detection, the dimension with quality problems is determined according to the detection results, the subsystem to be optimized is quickly located, and a corresponding sound quality optimization technical plan is formulated.

[0087] In an embodiment of the present application, it is also possible to establish a mapping relationship between subjective evaluation scores and objective evaluation parameter values ​​of door closing sound quality in advance by analyzing and detecting a large number of door closing sound samples, and to establish a database of subjective and objective mapping relationships, so as to determine the objective evaluation parameter value of door closing sound quality corresponding to the selected target subjective evaluation score based on the mapping relationship.

[0088] In some embodiments, for a subjective evaluation dimension, a subjective evaluation score (such as an expected subjective evaluation score or a minimum subjective evaluation score to be achieved) is selected as a target subjective evaluation score, and the objective evaluation parameter value corresponding to the target subjective evaluation score is used as a prediction threshold value under this dimension during the door closing sound quality detection, thereby achieving rapid detection and diagnosis of sound quality.

[0089] For example, Figure 6-Figure 8 The figure shows the corresponding relationship between the subjective evaluation score and the objective evaluation parameter value of the door closing sound quality in the embodiment of the present application. If the subjective evaluation score is greater than 6 points, it means that it is subjectively acceptable. Then, the subjective evaluation score of 6 points in each dimension is used as the target subjective evaluation score, and the value of the corresponding objective evaluation parameter is used as the corresponding preset threshold. For example, when the subjective evaluation score of the vibration (i.e. Figure 6 When the vibration score in the metal sense is higher than 6 points, the vibration index needs to be ≤ 38sone*s, that is, 38sone*s is set as the preset threshold corresponding to the vibration index; when the metal sense subjective evaluation score (i.e. Figure 7 When the metallic sense score in the drum sound is higher than 6 points, the corresponding metallic sense index needs to be ≤3.0acum*s, that is, 3.0acum*s is set as the preset threshold corresponding to the metallic sense index; when the subjective evaluation score of the drum sound (i.e. Figure 8 When the drum sound score in the figure is higher than 6 points, the corresponding drum sound index needs to be ≤16.8sone*s, that is, 16.8sone*s is set as the preset threshold corresponding to the metallic sense index.

[0090] For example, when detecting the door closing sound signal of the vehicle to be tested, the door closing sound quality detection model obtains the values ​​of objective evaluation parameters R, M, and D, respectively: 46sone*s, 2.54acum*s, and 13.5sone*s; this indicates that the vibration index exceeds the standard, and it can be considered that the door closing sound can be subjectively and obviously felt as a secondary impact sound.

[0091] Furthermore, in view of the obvious vibration of the closing sound of the frameless door, the subsystem to be optimized, namely the glass fixing bracket and the sealing strip system, is located. By strengthening the glass fixing bracket and optimizing the compression ratio curve of the sealing strip, the secondary impact sound is eliminated, the vibration of the closing sound is improved, and the quality performance of the closing sound is improved.

[0092] In summary, the present application proposes a vehicle door closing sound quality detection method, which detects the door closing sound signal of the vehicle to be detected by constructing a door closing sound quality detection model, and specifically calculates the corresponding objective evaluation parameter value of the door closing sound signal by the calculation unit of the door closing sound quality objective evaluation parameter in the constructed door closing sound quality detection model, wherein the door closing sound quality objective evaluation parameter is an objective quantitative parameter of the subjective evaluation of the door closing sound quality, and the door closing sound quality objective evaluation parameter value can be used to predict the door closing sound quality subjective evaluation score. That is, the above objective evaluation parameter value can be used to characterize the user's subjective evaluation of the door closing sound signal to a certain extent, thereby predicting the user's acceptance of the door closing sound of the vehicle to be detected, thereby realizing effective inspection of the sound quality of the frameless door, and based on the detection results, the performance of the vehicle in the direction of sound quality is efficiently and systematically controlled to ensure or even enhance the user experience. The vehicle door closing sound detection method provided in the embodiment of the present application proposes a multi-dimensional subjective evaluation method for frameless doors and parameters for objectively quantifying subjective evaluation, which can realize the prediction of subjective evaluation of door closing sound quality, and can replace the subjective evaluation test of frameless door sound quality, thereby greatly reducing the cost of manpower, material resources and product development cycle. By associating the evaluation dimensions with the vehicle subsystems, the subsystems to be optimized can be quickly located after sound quality detection. A systematic sound quality control method is proposed to achieve efficient control of sound quality performance.

[0093] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0094] Fig. 9 is a block diagram of a vehicle door closing sound quality detection device according to an exemplary embodiment of the present application. Fig. 9 As shown, the device 900 includes: an acquisition module 901 and a detection module 902.

[0095] The acquisition module 901 is used to acquire the door closing sound signal of the vehicle to be detected.

[0096] The detection module 902 is used to generate a door closing sound quality detection result of the vehicle to be detected based on the door closing sound signal and the constructed door closing sound quality detection model, wherein the constructed door closing sound quality detection model includes a calculation unit for an objective evaluation parameter of the door closing sound quality, and the objective evaluation parameter of the door closing sound quality is an objective quantitative parameter for the subjective evaluation of the door closing sound quality.

[0097] In the embodiment of the present application, the detection module 902 is further used for:

[0098] Inputting the door closing sound signal of the vehicle to be detected into the calculation unit of the door closing sound quality objective evaluation parameter to obtain the door closing sound quality objective evaluation parameter value of the door closing sound signal;

[0099] Determine whether the door closing sound quality objective evaluation parameter value exceeds a preset threshold value corresponding to the door closing sound quality objective evaluation parameter;

[0100] In response to the existence of a door closing sound quality objective evaluation parameter value exceeding a corresponding preset threshold, determining the door closing sound quality detection result as a sound quality detection abnormality;

[0101] In response to the absence of a door closing sound quality objective evaluation parameter value exceeding a corresponding preset threshold, the door closing sound quality detection result is determined as normal sound quality detection.

[0102] In the embodiment of the present application, the door closing sound quality detection result also includes the subsystem to be optimized of the vehicle to be detected, and the detection module 902 is further used to:

[0103] In response to the existence of a door closing sound quality objective evaluation parameter value exceeding a corresponding preset threshold, the vehicle subsystem corresponding to the door closing sound quality objective evaluation parameter is determined as a subsystem to be optimized.

[0104] In the embodiment of the present application, the above-mentioned device 900 further includes a model building module 903, which is used to:

[0105] Determine the subjective evaluation dimension of the door closing sound quality, and obtain the subjective evaluation score corresponding to the door closing sound sample on the subjective evaluation dimension;

[0106] Determine candidate objective evaluation parameters corresponding to the subjective evaluation dimension, and calculate candidate objective evaluation parameter values ​​for the door closing sound sample;

[0107] Conduct subjective and objective evaluation correlation analysis on the subjective evaluation scores and candidate objective evaluation parameter values ​​corresponding to the same dimension;

[0108] According to the results of the correlation analysis of subjective and objective evaluations, the objective evaluation parameters of the door closing sound quality corresponding to the subjective evaluation dimensions are determined;

[0109] A door closing sound quality detection model is constructed based on the objective evaluation parameters of door closing sound quality.

[0110] In the embodiment of the present application, the subjective evaluation dimension includes at least one of the following: vibration, metallic feeling and drum sound.

[0111] In the embodiment of the present application, the model building module 903 is further used to:

[0112] When the subjective evaluation dimension is vibration, the vibration index R is determined as a candidate objective evaluation parameter corresponding to the vibration, wherein the calculation formula of the vibration index R is:

[0113]

[0114] Wherein, R represents the vibration index, L(t) represents the time domain loudness of the sound signal corresponding to the door closing sound sample, and t0 represents the time when the first impact sound of the door closing sound sample ends; and / or

[0115] When the subjective evaluation dimension is metallic feeling, the metallic feeling index M is determined as a candidate objective evaluation parameter corresponding to the metallic feeling, wherein the calculation formula of the metallic feeling index M is:

[0116]

[0117] Wherein, M represents the metal feeling index, S(t) represents the time domain sharpness of the sound signal corresponding to the door closing sound sample, and t0 represents the time when the first impact sound of the door closing sound sample ends; and / or

[0118] When the subjective evaluation dimension is drumming sound, the drumming sound index D is determined as a candidate objective evaluation parameter corresponding to the drumming sound, wherein the calculation formula of the drumming sound index D is:

[0119]

[0120] Where D represents the drumming sound index, L LF (t) represents the time domain loudness of the door closing sound sample in the preset frequency band.

[0121] In the embodiment of the present application, the model building module 903 is further used to:

[0122] If the value of the correlation between the subjective and objective evaluations exceeds the correlation threshold, the candidate objective evaluation parameter is determined as the objective evaluation parameter of the door closing sound quality;

[0123] If the value of the correlation between the subjective and objective evaluations does not exceed the correlation threshold, the candidate objective evaluation parameters are discarded.

[0124] In the embodiment of the present application, the above-mentioned device 900 further includes a mapping module, which is used to establish a mapping relationship between a subjective evaluation score and an objective parameter value of the door closing sound quality based on the door closing sound sample.

[0125] In the embodiment of the present application, the detection module 902 is further configured to determine the door closing sound quality objective evaluation parameter value corresponding to the selected subjective evaluation score as a preset threshold.

[0126] It should be noted that the above explanation of the embodiment of the vehicle door closing sound quality detection method is also applicable to the vehicle door closing sound quality detection device of the embodiment of the present application, and the specific process will not be repeated here.

[0127] Each module in the above-mentioned vehicle door closing sound quality detection device can be implemented in whole or in part by software, hardware or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the corresponding operations of each module.

[0128] In summary, the present application proposes a vehicle door closing sound quality detection device, which detects the door closing sound signal of the vehicle to be detected by constructing a door closing sound quality detection model, and specifically calculates the corresponding objective evaluation parameter value of the door closing sound signal by the calculation unit of the door closing sound quality objective evaluation parameter in the constructed door closing sound quality detection model, wherein the door closing sound quality objective evaluation parameter is an objective quantitative parameter of the subjective evaluation of the door closing sound quality, and the door closing sound quality objective evaluation parameter value can be used to predict the subjective evaluation score of the door closing sound quality. That is, the above objective evaluation parameter value can be used to characterize the user's subjective evaluation of the door closing sound signal to a certain extent, thereby predicting the user's acceptance of the door closing sound of the vehicle to be detected, thereby realizing effective inspection of the sound quality of the frameless door, and based on the detection results, the performance of the vehicle in the direction of sound quality is efficiently and systematically controlled to ensure or even enhance the user experience. The vehicle door closing sound detection device provided in the embodiment of the present application proposes a multi-dimensional subjective evaluation method for frameless doors and parameters for objectively quantifying subjective evaluation, which can realize the prediction of subjective evaluation of door closing sound quality, and can replace the subjective evaluation test of frameless door sound quality, thereby greatly reducing the cost of manpower, material resources and product development cycle. By associating the evaluation dimensions with the vehicle subsystems, the subsystems to be optimized can be quickly located after sound quality testing, thus achieving sound quality control of the system and efficient management and control of sound quality performance.

[0129] To implement the above embodiment, the present application also provides an electronic device 1000, such as Fig.10 As shown, the electronic device 1000 may specifically include: the vehicle door closing sound quality detection device 900 as shown in the above embodiment.

[0130] In summary, the present application proposes an electronic device, which detects the door closing sound signal of the vehicle to be detected by constructing a door closing sound quality detection model, and specifically calculates the corresponding objective evaluation parameter value of the door closing sound signal by the calculation unit of the door closing sound quality objective evaluation parameter in the constructed door closing sound quality detection model, wherein the door closing sound quality objective evaluation parameter is an objective quantitative parameter for the subjective evaluation of the door closing sound quality, and the door closing sound quality objective evaluation parameter value can be used to predict the door closing sound quality subjective evaluation score. That is, the above objective evaluation parameter value can be used to characterize the user's subjective evaluation of the door closing sound signal to a certain extent, thereby predicting the user's acceptance of the door closing sound of the vehicle to be detected, thereby realizing effective inspection of the sound quality of frameless doors, and based on the detection results, the vehicle's performance in the direction of sound quality is efficiently and systematically controlled to ensure or even enhance the user experience. The present application proposes a multi-dimensional subjective evaluation method for frameless doors and parameters for objectively quantifying subjective evaluations, which can realize the prediction of subjective evaluation of door closing sound quality, and can replace the subjective evaluation test of frameless door sound quality, thereby greatly reducing the cost of manpower, material resources and product development cycle. By associating the evaluation dimensions with the vehicle subsystems, the subsystems to be optimized can be quickly located after sound quality testing, thus achieving sound quality control of the system and efficient management and control of sound quality performance.

[0131] In order to implement the above embodiment, the present application embodiment also proposes an electronic device 1100, such as Fig.11 As shown, the electronic device 1100 may specifically include: a memory 1101, a processor 1102, and a computer program stored in the memory 1101 and executable on the processor 1102. When the processor 1102 executes the program, the steps of the vehicle door closing sound quality detection method shown in the above embodiment are implemented.

[0132] In summary, the present application proposes an electronic device, which detects the door closing sound signal of the vehicle to be detected by constructing a door closing sound quality detection model, and specifically calculates the corresponding objective evaluation parameter value of the door closing sound signal by the calculation unit of the door closing sound quality objective evaluation parameter in the constructed door closing sound quality detection model, wherein the door closing sound quality objective evaluation parameter value can be used to predict the door closing sound quality subjective evaluation score. That is, the above-mentioned objective evaluation parameter value can be used to characterize the user's subjective evaluation of the door closing sound signal to a certain extent, thereby predicting the user's acceptance of the door closing sound of the vehicle to be detected, thereby realizing effective inspection of the sound quality of frameless doors, and based on the detection results, the vehicle's performance in the direction of sound quality is efficiently and systematically controlled to ensure or even enhance the user experience. The present application proposes a multi-dimensional subjective evaluation method for frameless doors and parameters for objectively quantifying subjective evaluations, which can realize the prediction of subjective evaluation of door closing sound quality, and can replace the subjective evaluation test of frameless door sound quality, thereby greatly reducing manpower, material resources and product development cycle costs. By associating the evaluation dimensions with the vehicle subsystems, the subsystems to be optimized can be quickly located after sound quality testing, thus achieving sound quality control of the system and efficient management and control of sound quality performance.

[0133] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0134] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0135] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A vehicle door closing sound quality detection method, characterized in that: include: Obtaining a door closing sound signal of the vehicle to be detected; A door closing sound quality detection result of the vehicle to be detected is generated according to the door closing sound signal and the constructed door closing sound quality detection model, wherein the constructed door closing sound quality detection model includes a calculation unit for an objective evaluation parameter of the door closing sound quality, and the objective evaluation parameter of the door closing sound quality is an objective quantitative parameter for the subjective evaluation of the door closing sound quality.

2. The method according to claim 1, characterized in that The step of generating a door closing sound quality detection result of the vehicle to be detected according to the door closing sound signal and the constructed door closing sound quality detection model comprises: Inputting the door closing sound signal of the vehicle to be detected into the calculation unit of the door closing sound quality objective evaluation parameter to obtain the door closing sound quality objective evaluation parameter value of the door closing sound signal; Determining whether the door closing sound quality objective evaluation parameter value exceeds a preset threshold value corresponding to the door closing sound quality objective evaluation parameter; In response to the existence of the door closing sound quality objective evaluation parameter value exceeding the corresponding preset threshold, determining the door closing sound quality detection result as a sound quality detection abnormality; In response to the absence of the door closing sound quality objective evaluation parameter value exceeding the corresponding preset threshold, the door closing sound quality detection result is determined as normal sound quality detection.

3. The method according to claim 2, characterized in that The preset threshold is obtained in the following way: Based on a preset mapping relationship, an objective evaluation parameter value of the door closing sound quality corresponding to the target subjective evaluation score is determined, and the objective evaluation parameter value is determined as the preset threshold value. The preset mapping relationship is used to characterize the correspondence between the subjective evaluation score and the objective parameter value of the door closing sound quality.

4. The method according to claim 1, characterized in that: The door closing sound quality detection result also includes the subsystem to be optimized of the vehicle to be detected, and the method further includes: In response to the existence of a value of the door closing sound quality objective evaluation parameter exceeding the corresponding preset threshold, the vehicle subsystem corresponding to the door closing sound quality objective evaluation parameter is determined as the subsystem to be optimized.

5. The method according to claim 1, characterized in that Constructing the door closing sound quality detection model includes: Determine a subjective evaluation dimension of door closing sound quality, and obtain a subjective evaluation score corresponding to the door closing sound sample on the subjective evaluation dimension; Determining candidate objective evaluation parameters corresponding to the subjective evaluation dimension, and calculating candidate objective evaluation parameter values ​​of the door closing sound sample; Performing subjective and objective evaluation correlation analysis on the subjective evaluation score and the candidate objective evaluation parameter value corresponding to the same dimension; Determining the objective evaluation parameter of the door closing sound quality corresponding to the subjective evaluation dimension according to the result of the subjective and objective evaluation correlation analysis; The door closing sound quality detection model is constructed based on the door closing sound quality objective evaluation parameters.

6. The method according to claim 5, characterized in that The subjective evaluation dimension includes at least one of the following: vibration feeling, metallic feeling and drum sound.

7. The method according to claim 6, characterized in that The calculating of the candidate objective evaluation parameter value of the door closing sound sample includes: When the subjective evaluation dimension is vibration, the vibration index R is determined as the candidate objective evaluation parameter corresponding to the vibration, wherein the calculation formula of the vibration index R is: Wherein, R represents the vibration index, L(t) represents the time domain loudness of the sound signal corresponding to the door closing sound sample, and t0 represents the time when the first impact sound of the door closing sound sample ends; and / or When the subjective evaluation dimension is metallic feeling, the metallic feeling index M is determined as the candidate objective evaluation parameter corresponding to the metallic feeling, wherein the calculation formula of the metallic feeling index M is: Wherein, M represents the metal feeling index, S(t) represents the time domain sharpness of the sound signal corresponding to the door closing sound sample, and t0 represents the time when the first impact sound of the door closing sound sample ends; and / or When the subjective evaluation dimension is drumming sound, the drumming sound index D is determined as the candidate objective evaluation parameter corresponding to the drumming sound, wherein the calculation formula of the drumming sound index D is: Where D represents the drumming sound index, L LF (t) represents the time domain loudness of the door closing sound sample in a preset frequency band.

8. The method according to claim 5, characterized in that: Determining the objective evaluation parameter of the door closing sound quality corresponding to the subjective evaluation dimension according to the result of the subjective and objective evaluation correlation analysis includes: If the value of the subjective and objective evaluation correlation exceeds the correlation threshold, determining the candidate objective evaluation parameter as the door closing sound quality objective evaluation parameter; If the value of the subjective and objective evaluation correlation does not exceed the correlation threshold, the candidate objective evaluation parameter is discarded.

9. A vehicle door closing sound quality detection device, characterized in that: include: An acquisition module, used to acquire a door closing sound signal of a vehicle to be detected; a detection module, configured to generate a door closing sound quality detection result of the vehicle to be detected according to the door closing sound signal and a constructed door closing sound quality detection model, wherein the constructed door closing sound quality detection model includes a calculation unit for an objective evaluation parameter of the door closing sound quality, and the objective evaluation parameter of the door closing sound quality is an objective quantitative parameter for a subjective evaluation of the door closing sound quality.

10. The device according to claim 9, characterized in that Also included is a model building module, the model building module is used to: Determine a subjective evaluation dimension of door closing sound quality, and obtain a subjective evaluation score corresponding to the door closing sound sample on the subjective evaluation dimension; Determining candidate objective evaluation parameters corresponding to the subjective evaluation dimension, and calculating the candidate objective evaluation parameter values ​​of the door closing sound sample; Performing subjective and objective evaluation correlation analysis on the subjective evaluation score and the candidate objective evaluation parameter value corresponding to the same dimension; Determining the objective evaluation parameter of the door closing sound quality corresponding to the subjective evaluation dimension according to the result of the subjective and objective evaluation correlation analysis; The door closing sound quality detection model is constructed based on the door closing sound quality objective evaluation parameters.

11. The device according to claim 10, characterized in that The preset threshold is obtained in the following way: Based on a preset mapping relationship, an objective evaluation parameter value of the door closing sound quality corresponding to the target subjective evaluation score is determined, and the objective evaluation parameter value is determined as the preset threshold value. The preset mapping relationship is used to characterize the correspondence between the subjective evaluation score and the objective parameter value of the door closing sound quality.

12. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the vehicle door closing sound quality detection method according to any one of claims 1 to 8 are implemented.

13. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the vehicle door closing sound quality detection method as described in any one of claims 1 to 8 are implemented.

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