Sound equipment vibration characteristic test method and device

Abstract

The invention discloses a sound equipment vibration characteristic testing method and device, and the method comprises the steps: obtaining an audio signal and a displacement image, carrying out the time-frequency analysis of the audio signal, generating a first corresponding relation between the time and the frequency, processing the displacement image, extracting the displacement of sound equipment, and obtaining a vibration characteristic of the sound equipment. And generating a second corresponding relation between the time and the displacement, and based on the first corresponding relation and the second corresponding relation, obtaining the lowest resonant frequency corresponding to the displacement abrupt change point, and / or obtaining a third corresponding relation representing the relation between the frequency and the displacement. The sound equipment vibration characteristic test method realizes fusion of multi-modal data, avoids limitation of a single data source, meets the requirement of a user for complex data analysis, remarkably improves comprehensiveness and accuracy of sound equipment vibration characteristic test, and improves the user experience. And more reliable data support is provided for design optimization and quality control of sound equipment.

Description

Technical Field

[0001] The present invention relates to the field of audio equipment testing, and in particular to a method and device for testing vibration characteristics of audio equipment. Background Art

[0002] With the widespread use of audio equipment in entertainment, communications, and professional fields, sound quality and reliability are crucial to user experience and device performance. When audio is played, the vibration of the internal structure of audio equipment may generate additional noise, affecting the stability of sound quality. Therefore, testing and analyzing the vibration characteristics of audio equipment has become a key step in product quality control and design optimization.

[0003] During the audio equipment production process, vibration testing is often used to evaluate the mechanical response of the equipment at different frequencies to ensure that vibration does not adversely affect its operation. However, traditional vibration testing methods have limitations. They typically only provide a simple correlation between time and frequency, and the test accuracy is difficult to meet expectations. Without sufficient test results, optimization of audio equipment is inevitably insufficient. Summary of the Invention

[0004] In order to solve the problem of poor testing results of audio equipment in the above-mentioned prior art problems, the purpose of the present invention is to provide a method and device for testing the vibration characteristics of audio equipment, which can combine audio signals and displacement images to perform comprehensive and accurate testing through multi-modal data.

[0005] To achieve the above-mentioned object of the invention, one embodiment of the present invention provides a method for testing the vibration characteristics of an audio device, comprising the following steps:

[0006] Acquiring an audio signal and a displacement image, wherein the audio signal and the displacement image are captured simultaneously when the audio device plays a sweep frequency signal, and the displacement image is an image sequence of the location of the audio device;

[0007] Generating a first correspondence between time and frequency by performing time-frequency analysis on the audio signal;

[0008] Extracting the displacement of the audio device by processing the displacement image, and generating a second correspondence between time and displacement;

[0009] Based on the first corresponding relationship and the second corresponding relationship, a specific frequency corresponding to the displacement mutation point is obtained, and / or a third corresponding relationship representing the relationship between frequency and displacement is obtained, wherein the specific frequency corresponding to the displacement mutation point is the lowest resonance frequency.

[0010] As a further improvement of the present invention, capturing the audio signal includes:

[0011] At least two groups of microphones are set to capture the audio signal, and the at least two groups of microphones are arranged around the audio equipment.

[0012] As a further improvement of the present invention, generating a first correspondence between time and frequency by performing time-frequency analysis on the audio signal includes:

[0013] Performing short-time Fourier transform on the audio signal to generate a time-frequency graph;

[0014] At each time point, the amplitude of the signal is extracted and arranged in descending order, and the frequency with the smallest amplitude among the preset number of amplitudes is selected as the characteristic frequency at that time point;

[0015] A smaller value is taken for the characteristic frequencies of the at least two groups of microphones at the same time point to obtain the first corresponding relationship between the time and frequency.

[0016] As a further improvement of the present invention, capturing the displacement image of the audio device includes:

[0017] At least two cameras are arranged on the side of the audio device along a rectangular coordinate system, and the at least two cameras respectively capture displacement images of the audio device in the X-axis and Y-axis directions.

[0018] As a further improvement of the present invention, the step of extracting the displacement of the audio equipment by processing the displacement image and generating a second correspondence between time and displacement includes:

[0019] Extracting the displacement of the audio device on the X-axis and the Y-axis using image processing technology based on the displacement images of the at least two cameras;

[0020] The total displacement is calculated according to the displacements of the X-axis and the Y-axis, and a second correspondence between time and displacement is generated.

[0021] As a further improvement of the present invention, extracting the displacement of the audio device by processing the displacement image and generating a second correspondence between time and displacement includes:

[0022] Analyze the displacement change data in the second corresponding relationship to obtain a displacement mutation point and a time corresponding to the displacement mutation point;

[0023] Based on the displacement mutation point, the time corresponding to the displacement mutation point, and the first corresponding relationship, a specific frequency corresponding to the displacement mutation point is obtained.

[0024] As a further improvement of the present invention, obtaining a third corresponding relationship representing the relationship between frequency and displacement based on the first corresponding relationship and the second corresponding relationship includes:

[0025] Based on the first corresponding relationship and the second corresponding relationship, a third corresponding relationship between displacement and frequency is generated through data matching or interpolation.

[0026] As a further improvement of the present invention, the frequency sweep signal changes linearly or nonlinearly from low frequency to high frequency, covering the full frequency range of the audio equipment.

[0027] As a further improvement of the present invention, obtaining the specific frequency corresponding to the displacement mutation point based on the first corresponding relationship and the second corresponding relationship includes:

[0028] In the second corresponding relationship, a mutation detection algorithm is used to analyze the change of displacement over time, and the initial time point at which the displacement changes significantly is detected as the displacement mutation point.

[0029] To achieve one of the above-mentioned objectives, an embodiment of the present invention provides a device for testing vibration characteristics of an audio device, comprising:

[0030] an audio capture element and an image capture element, wherein the audio capture element acquires an audio signal, and the image capture element acquires a displacement image, wherein the audio signal and the displacement image are captured simultaneously when the audio device plays a swept frequency signal, and the displacement image is an image sequence of the location of the audio device;

[0031] A first processing module, configured to generate a first correspondence between time and frequency by performing time-frequency analysis on the audio signal;

[0032] a second processing module, configured to extract the displacement of the audio device by processing the displacement image, and generate a second correspondence between time and displacement;

[0033] The third processing module is used to obtain a specific frequency corresponding to the displacement mutation point based on the first corresponding relationship and the second corresponding relationship, and / or obtain a third corresponding relationship representing the relationship between frequency and displacement, wherein the specific frequency corresponding to the displacement mutation point is the lowest resonant frequency.

[0034] To achieve one of the above-mentioned objectives, an embodiment of the present invention provides an electronic device, including:

[0035] a storage module storing a computer program;

[0036] The processing module can implement the steps of the above-mentioned audio equipment vibration characteristic testing method when executing the computer program.

[0037] Compared with the existing technology, the present invention has the following beneficial effects: This method and device for testing the vibration characteristics of audio equipment achieves multimodal data fusion by simultaneously capturing the audio signal generated when the audio equipment plays a swept frequency signal and the displacement image of the audio equipment, thus avoiding the limitations of a single data source. Based on the correspondence between the audio signal generation time and frequency, and the correspondence between the displacement image generation time and displacement, the lowest resonant frequency corresponding to the displacement mutation point, as well as the relationship between frequency and displacement, is accurately determined, providing multi-dimensional test results that meet users' needs for complex data analysis. It also significantly improves the comprehensiveness and accuracy of audio equipment vibration characteristic testing, providing more reliable data support for the design optimization and quality control of audio equipment, and has important practical value and technical advantages. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 is a flow chart of a method for testing vibration characteristics of an audio device according to an embodiment of the present invention;

[0039] Figure 2 1 is a schematic structural diagram of an apparatus for testing vibration characteristics of audio equipment according to an embodiment of the present invention;

[0040] Among them, 100, an audio equipment vibration characteristic testing device; 10, an audio equipment; 21, a first image acquisition component; 22, a second image acquisition component; 31, a first audio capture component; 32, a second audio capture component. DETAILED DESCRIPTION

[0041] The present invention will be described in detail below with reference to the specific embodiments shown in the accompanying drawings. However, these embodiments do not limit the present invention, and any structural, methodological, or functional changes made by those skilled in the art based on these embodiments are all within the scope of protection of the present invention.

[0042] An embodiment of the present invention provides a method and apparatus for testing the vibration characteristics of an audio device, which accurately evaluates the vibration characteristics of the audio device by combining analysis of audio signals and displacement images.

[0043] The audio equipment vibration characteristic testing method of this embodiment is used to evaluate the mechanical response of the audio equipment at different frequencies during the production process to optimize equipment design and quality control.

[0044] The following combination Figure 1, describing a method for testing the vibration characteristics of audio equipment provided by one embodiment of the present invention. Although this application provides the method operating steps shown in the following embodiments or flowcharts, based on routine or no creative effort, the execution order of steps in the method that are not logically causally related is not limited to the execution order provided in the embodiments of this application. For example, the acquisition order of steps S20 and S30 below can be adjusted arbitrarily or performed simultaneously, and the order of steps S40 and S50 can also be adjusted or performed simultaneously, without distinguishing the chronological order.

[0045] Specifically, a method for testing vibration characteristics of an audio device according to this embodiment includes the following steps:

[0046] Step S10: Acquire an audio signal and a displacement image, wherein the audio signal and the displacement image are captured simultaneously when the audio device plays a sweep frequency signal, and the displacement image is an image sequence about the location of the audio device.

[0047] Step S20: generating a first correspondence between time and frequency by performing time-frequency analysis on the audio signal.

[0048] Step S30: extracting the displacement of the audio device by processing the displacement image, and generating a second correspondence between time and displacement.

[0049] Step S40: based on the first corresponding relationship and the second corresponding relationship, obtaining a specific frequency corresponding to the displacement mutation point; and / or

[0050] Step S50: Based on the first corresponding relationship and the second corresponding relationship, a third corresponding relationship representing the relationship between frequency and displacement is obtained, wherein the specific frequency corresponding to the displacement mutation point is the lowest resonance frequency.

[0051] In step S10, the audio signal is the sound emitted by the audio device recorded by an audio capture device (such as a microphone), and the displacement image is the image of the audio device captured by an image acquisition device (such as a camera) to form an image sequence reflecting its location.

[0052] During the vibration process, audio equipment may cause brief, sudden or uncontrollable vibrations, such as obvious displacement caused by structural resonance. The image acquisition device detects the displacement of the audio equipment by acquiring displacement images.

[0053] In this embodiment, the audio equipment can be tested in an anechoic chamber or a noise reduction box to reduce external noise interference. For example, the audio equipment is placed in the noise reduction box and a preset sweep frequency signal is input. The sweep frequency signal is an audio signal that changes linearly (frequency increases uniformly over time) or nonlinearly (such as logarithmically to adapt to the human ear's perception of frequency) from low frequency to high frequency, covering the full frequency band range of the audio equipment, such as 20Hz to 20kHz, to ensure that the test covers all possible vibration responses.

[0054] By using a sweep frequency signal covering the entire frequency band, this method can fully stimulate the vibration response of the audio equipment, ensuring the comprehensiveness and accuracy of the test results.

[0055] When the audio equipment plays a sweep frequency signal, a high-sensitivity microphone is used to record the sound in real time, and a high-speed camera is used to capture the location of the audio equipment. When the audio equipment is displaced due to vibrations caused by vibrations, such as resonance, the displacement can be calculated from the captured image sequence.

[0056] This allows for simultaneous acquisition of both the acoustic output and displacement data of audio equipment. This multi-dimensional data acquisition method is more comprehensive than traditional single-signal testing, providing reliable foundational data for subsequent analysis and significantly improving the completeness and accuracy of vibration characteristic assessments.

[0057] In step S20, time-frequency analysis is performed on the audio signal, which may be performed by methods such as short-time Fourier transform, wavelet transform, and Wigner-Ville distribution, so as to decompose the audio signal into two-dimensional information of time and frequency.

[0058] During the processing, the collected audio signal can first be denoised (such as using a filter to remove background noise) and normalized to improve signal quality and ensure the accuracy of the analysis.

[0059] Then, using the short-time Fourier transform as an example, the audio signal is processed in segments (e.g., 0.1 second each) to generate a time-frequency graph. The time-frequency graph shows the frequency components of the signal at different time points.

[0060] Next, the amplitude distribution at each time point in the time-frequency diagram is analyzed to extract the main frequency components (such as the frequency with the largest amplitude).

[0061] Finally, each time point and its corresponding frequency are organized into a data table or curve, for example, "time t1 corresponds to frequency f1, time t2 corresponds to frequency f2", forming a first correspondence between time and frequency.

[0062] The first correspondence clearly shows the frequency of the swept frequency signal at different time points, laying the foundation for subsequent correlation analysis with displacement.

[0063] In step S30, the displacement information in the image sequence is analyzed using image recognition and displacement calculation technology.

[0064] First, image preprocessing is performed to enhance and denoise the collected image sequence (such as using mean filtering) to improve image clarity and facilitate subsequent analysis.

[0065] Secondly, displacement extraction is performed, using the optical flow method or feature point tracking algorithm to identify the displacement changes of the position of the audio equipment from the image sequence, such as the motion trajectory of the edge of the audio equipment.

[0066] According to the displacement changes of the extracted positions of the audio equipment, the displacement of the audio equipment at each time point is calculated.

[0067] Finally, a second correspondence is generated, and each time point and its corresponding displacement are organized into a data table or curve, for example, "time t1 corresponds to displacement d1, time t2 corresponds to displacement d2", forming a second correspondence between time and displacement.

[0068] When the audio equipment has no vibration at all, that is, it remains in the same place, the displacement can always be 0. When it moves, the displacement changes.

[0069] The second correspondence accurately reflects the movement of the audio equipment and provides direct visual data support for the subsequent correlation analysis between frequency and displacement.

[0070] Step S40 and step S50 can be performed separately or simultaneously as required.

[0071] In step S40, in the second corresponding relationship, the displacement change data is analyzed to identify the displacement mutation point, such as the time point when the displacement suddenly increases, and the corresponding time (such as t3) is recorded.

[0072] Then, the frequency (such as f3) corresponding to the mutation time point (such as t3) is searched according to the first corresponding relationship to obtain the specific frequency of the mutation displacement.

[0073] In step S50 , the first correspondence and the second correspondence are integrated into a direct relationship between frequency and displacement through time axis matching or data interpolation, for example, “frequency f1 corresponds to displacement d1 , and frequency f2 corresponds to displacement d2 ”.

[0074] Through data integration, this embodiment successfully identifies the specific frequency corresponding to the sudden displacement, especially determines the lowest resonance frequency, and generates a third corresponding relationship between frequency and displacement.

[0075] The lowest resonant frequency corresponding to the displacement mutation point reveals the key point in the vibration characteristics of the audio equipment and reflects the lowest frequency when the audio equipment produces the strongest mechanical response. The third correspondence provides data support for optimizing equipment design, such as reducing abnormal vibration by adjusting the frequency response.

[0076] By combining the lowest resonant frequency and the third correspondence, the audio equipment can be evaluated as follows:

[0077] Determine whether the sound quality of the audio equipment is affected by the size of the lowest resonant frequency; analyze the potential causes of sound quality problems; the rigidity and damping performance of the audio equipment cabinet; the stability of the audio equipment system; the damping ratio and energy loss.

[0078] Through the above implementation methods, the present method fully utilizes the multimodal data of audio signals and displacement images to achieve a comprehensive test of the vibration characteristics of audio equipment, and has high practicality and innovation.

[0079] In one embodiment, a vibration characteristic testing device 100 for an audio device is provided. Figure 2 As shown, the device includes the following modules and their functions:

[0080] an audio capture element and an image capture element, wherein the audio capture element acquires an audio signal, and the image capture element acquires a displacement image, wherein the audio signal and the displacement image are captured simultaneously when the audio device plays a swept frequency signal, and the displacement image is an image sequence of the location of the audio device;

[0081] A first processing module, configured to generate a first correspondence between time and frequency by performing time-frequency analysis on the audio signal;

[0082] a second processing module, configured to extract the displacement of the audio device by processing the displacement image, and generate a second correspondence between time and displacement;

[0083] The third processing module is used to obtain a specific frequency corresponding to the displacement mutation point based on the first corresponding relationship and the second corresponding relationship, and / or obtain a third corresponding relationship representing the relationship between frequency and displacement, wherein the specific frequency corresponding to the displacement mutation point is the lowest resonant frequency.

[0084] It should be noted that for details not disclosed in the apparatus for testing the vibration characteristics of an audio device according to an embodiment of the present invention, please refer to the details disclosed in the method for testing the vibration characteristics of an audio device according to an embodiment of the present invention.

[0085] Furthermore, the capturing of the audio signal in this embodiment includes:

[0086] At least two groups of microphones are set to capture the audio signal, and the at least two groups of microphones are arranged around the audio equipment.

[0087] like Figure 2 As shown, at least two groups of audio capture elements are evenly spaced around the audio device 10. For example, a group of audio capture elements, namely a first audio capture element 31 and a second audio capture element 32, can be placed on the left and right sides of the audio device 10. On the one hand, this surround arrangement can capture the sound emitted by the audio device 10 from multiple angles, ensuring the comprehensiveness of the audio data. On the other hand, some audio devices have multiple speakers, and placing multiple audio capture elements around the audio device 10 helps to cover the entire sound range.

[0088] In addition to two microphones, three groups of microphones (with an angle of 120°) or four groups of microphones (with an angle of 90°) can also be used, or even a three-dimensional layout can be used.

[0089] By using at least two microphones, the audio device vibration characteristics testing method can capture audio signals from audio device 10 in different directions, providing more comprehensive acoustic data. Compared to a single microphone, this approach reduces signal blind spots and distortion, improving the quality and reliability of audio capture and laying a solid foundation for subsequent analysis.

[0090] Step S20 further includes:

[0091] Step S21: performing short-time Fourier transform on the audio signal to generate a time-frequency graph.

[0092] Step S22: At each time point, extract the amplitude of the signal and arrange it in descending order, and select the frequency with the smallest amplitude among the preset number of amplitudes as the characteristic frequency of the time point.

[0093] Step S23: taking a smaller value of the characteristic frequencies of the at least two groups of microphones at the same time point to obtain a first corresponding relationship between the time and frequency.

[0094] In step S21, the audio signal is decomposed into a time-frequency graph using a short-time Fourier transform algorithm. Specifically, the audio signal is segmented (e.g., each segment is 0.1 seconds), and a Fourier transform is performed on each segment to obtain the frequency distribution of the time segment.

[0095] In step S22, the following operation can be performed for each time point in the time-frequency diagram: the amplitudes of all frequencies at that time point are extracted, and the minimum frequency among the first preset number of amplitudes (e.g., the first five) is selected as the characteristic frequency. Taking the minimum frequency can prevent the short-time Fourier process from taking the frequency connection and causing inaccurate calculation. Taking the minimum frequency among the first five amplitudes can achieve the purpose of unification, so that the resulting data standards are unified and consistent. In other embodiments, different numbers of amplitudes can be selected according to specific scenarios or detection needs, and this is not limited here.

[0096] Then in step S23, the characteristic frequencies of at least two groups of microphones at the same time point are compared, and the smaller value is taken as the final characteristic frequency to further ensure the uniformity and consistency of the result data.

[0097] Subsequently, each time point and its corresponding final characteristic frequency are organized into a data table or curve, for example, "time t1 corresponds to frequency f1, time t2 corresponds to frequency f2", forming a first correspondence between time and frequency.

[0098] Through short-time Fourier transform and characteristic frequency extraction, the time-frequency characteristics of the audio signal are accurately captured. Amplitude reduction and minimum frequency processing ensure the accuracy and consistency of the characteristic frequencies, while multi-microphone data fusion further enhances the reliability of the results, significantly improving test accuracy and repeatability, and providing high-quality data for subsequent analysis.

[0099] Furthermore, capturing the displacement image of the audio device includes:

[0100] At least two cameras are arranged on the side of the audio device along a rectangular coordinate system, and the at least two cameras respectively capture displacement images of the audio device in the X-axis and Y-axis directions.

[0101] like Figure 2 As shown, a first image acquisition element 21 is arranged in front of the audio equipment 10 to capture the displacement image in the X-axis (horizontal) direction; a second image acquisition element 22 is arranged on the side of the audio equipment 10 to capture the displacement image in the Y-axis (vertical) direction. The two image acquisition elements shoot synchronously to ensure that the image sequence time is consistent.

[0102] By simultaneously capturing the displacement images of the audio device 10 on the X-axis and Y-axis, multi-dimensional data is provided, which more comprehensively reflects the vibration characteristics of the audio device 10, avoids information loss caused by viewing angle limitations, and provides reliable visual data for subsequent analysis.

[0103] In addition, in addition to using the Cartesian coordinate system to arrange the cameras, other coordinate systems can also be used to arrange multiple cameras to detect the spatial displacement of the audio equipment.

[0104] Furthermore, step S30 includes:

[0105] Step S31: extracting the displacement of the audio device on the X-axis and the Y-axis by image processing technology based on the displacement images of the at least two cameras.

[0106] Step S32: Calculate the total displacement according to the displacements of the X-axis and the Y-axis, and generate a second correspondence between time and displacement.

[0107] In step S31 , the displacement values of the audio equipment on the X-axis and Y-axis are extracted from the displacement image using an optical flow method or a feature point tracking algorithm.

[0108] In step S32, the formula Calculate the total displacement, where x and y are the displacement values along the X and Y axes, respectively.

[0109] Subsequently, each time point and its corresponding total displacement are organized into a data table or curve, for example, "time t1 corresponds to displacement d1, time t2 corresponds to displacement d2", forming a second correspondence between time and displacement.

[0110] By combining the X-axis and Y-axis displacements to calculate the total displacement, this method can calculate the comprehensive displacement of the audio equipment in space, avoiding the insufficient accuracy of single-direction detection.

[0111] Furthermore, step S40 includes:

[0112] Step S41: analyzing the displacement change data in the second corresponding relationship to obtain a displacement mutation point and a time corresponding to the displacement mutation point.

[0113] Step S42: Based on the displacement mutation point, the time corresponding to the displacement mutation point, and the first corresponding relationship, obtain the specific frequency corresponding to the displacement mutation point.

[0114] In the above, the frequency sweep signal of this embodiment is a linear audio signal from low frequency to high frequency. In the second correspondence (time-displacement) of step S41, the trend of displacement change over time is analyzed, which is also a trend generated based on the gradual increase of frequency.

[0115] Identify the time point when the displacement changes suddenly, especially the displacement under resonance, use a mutation detection algorithm (such as the ischange function in Matlab) to analyze the change of displacement over time, detect the initial time point when the displacement changes significantly as the displacement mutation point, and then find the moment when the displacement changes sharply (such as time point t3).

[0116] The initial time point of a significant displacement change corresponds to the frequency at which the displacement first changes when the frequency sweep signal transitions from low to high frequency, i.e., the lowest resonant frequency. In practice, displacement changes are gradual, and mutation detection algorithms (such as the ischange function) can automatically calculate the appropriate time point during the displacement change as the displacement mutation point.

[0117] In step S42, based on the first correspondence (time-frequency), the specific frequency (e.g., f3) corresponding to the time corresponding to the displacement mutation point (e.g., t3) is searched. Specifically, the time point closest to t3 is found in the time-frequency data table or curve, and its corresponding frequency value f3 is extracted.

[0118] When there are multiple displacement mutation points, the displacement mutation point corresponding to the lowest resonance frequency is determined as the required displacement mutation point.

[0119] Obtaining the minimum resonant frequency provides a scientific basis for design optimization and quality control, enhancing the practicality and industrial application value of the test method. For example, a lower minimum resonant frequency indicates a stronger resonant response of the device at low frequencies, which helps optimize device design and material selection, and enhances the industrial application value of the test method.

[0120] By combining time-frequency and time-displacement data, this method can accurately identify the frequency that causes displacement mutations, especially the lowest resonant frequency, thereby providing reliable data support for equipment design optimization and troubleshooting.

[0121] Furthermore, step S50 includes:

[0122] Step S51: Based on the first corresponding relationship and the second corresponding relationship, a third corresponding relationship between displacement and frequency is generated through data matching or interpolation.

[0123] Since both the first correspondence and the second correspondence are based on time, the two sets of data are aligned through the time axis to ensure that each time point has corresponding frequency and displacement data.

[0124] For each time point, the corresponding frequency and displacement values are extracted to form a "frequency-displacement" data pair. For example, time t1 corresponds to frequency f1 and displacement d1, and time t2 corresponds to frequency f2 and displacement d2.

[0125] If there are insufficient data points or discontinuities, interpolation techniques (such as linear interpolation or spline interpolation) can be used to supplement the data to ensure the smoothness and continuity of the frequency-displacement relationship.

[0126] Finally, the frequency and displacement data are organized into a curve or data table to form a third correspondence between frequency and displacement, which can intuitively display the displacement characteristics of the audio equipment at different frequencies.

[0127] By generating a third correspondence between frequency and displacement, the vibration conditions of audio equipment at different frequencies are clearly presented, making it easier to identify resonant frequencies, evaluate equipment stability, and optimize design parameters, greatly improving the practicality of the test and analysis efficiency.

[0128] Compared with the prior art, this embodiment has the following beneficial effects:

[0129] This method and device for testing the vibration characteristics of audio equipment achieves multimodal data fusion by simultaneously capturing the audio signal and displacement image generated when the audio equipment plays a swept frequency signal, avoiding the limitations of a single data source. Based on the correspondence between the audio signal generation time and frequency, and the displacement image generation time and displacement, it accurately determines the lowest resonant frequency corresponding to the displacement mutation point, as well as the relationship between frequency and displacement. This provides multi-dimensional test results, meeting user needs for complex data analysis. It significantly improves the comprehensiveness and accuracy of audio equipment vibration characteristic testing, providing more reliable data support for audio equipment design optimization and quality control, and possesses significant practical value and technical advantages.

[0130] It should be understood that although this specification is described in terms of implementation methods, not every implementation method contains only one independent technical solution. This narrative method of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each implementation method can also be appropriately combined to form other implementation methods that can be understood by those skilled in the art.

[0131] The series of detailed descriptions listed above are only specific descriptions of feasible implementation methods of the present invention. They are not intended to limit the scope of protection of the present invention. Any equivalent implementation methods or changes that do not deviate from the technical spirit of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for testing the vibration characteristics of an audio device, characterized in that: The following steps are involved: Acquiring an audio signal and a displacement image, wherein the audio signal and the displacement image are captured simultaneously when the audio device plays a sweep frequency signal, and the displacement image is an image sequence of the location of the audio device; Generating a first correspondence between time and frequency by performing time-frequency analysis on the audio signal; Extracting the displacement of the audio device by processing the displacement image, and generating a second correspondence between time and displacement; Based on the first corresponding relationship and the second corresponding relationship, a specific frequency corresponding to the displacement mutation point is obtained, and / or a third corresponding relationship representing the relationship between frequency and displacement is obtained, wherein the specific frequency corresponding to the displacement mutation point is the lowest resonance frequency.

2. The method for testing the vibration characteristics of an audio device according to claim 1, wherein: The capturing of the audio signal comprises: At least two groups of microphones are set to capture the audio signal, and the at least two groups of microphones are arranged around the audio equipment.

3. The method for testing the vibration characteristics of an audio device according to claim 2, wherein: Generating a first correspondence between time and frequency by performing time-frequency analysis on the audio signal includes: Performing short-time Fourier transform on the audio signal to generate a time-frequency graph; At each time point, the amplitude of the signal is extracted and arranged in descending order, and the frequency with the smallest amplitude among the preset number of amplitudes is selected as the characteristic frequency at that time point; A smaller value is taken for the characteristic frequencies of the at least two groups of microphones at the same time point to obtain the first corresponding relationship between the time and frequency.

4. The method for testing the vibration characteristics of an audio device according to claim 1, wherein: Capturing the displacement image of the audio device includes: At least two cameras are arranged on the side of the audio device along a rectangular coordinate system, and the at least two cameras respectively capture displacement images of the audio device in the X-axis and Y-axis directions.

5. The method for testing the vibration characteristics of an audio device according to claim 4, wherein: The step of extracting the displacement of the audio equipment by processing the displacement image and generating a second correspondence between time and displacement includes: Extracting the displacement of the audio device on the X-axis and the Y-axis using image processing technology based on the displacement images of the at least two cameras; The total displacement is calculated according to the displacements of the X-axis and the Y-axis, and a second correspondence between time and displacement is generated.

6. The method for testing the vibration characteristics of an audio device according to claim 1, wherein: The extracting the displacement of the audio device by processing the displacement image and generating a second correspondence between time and displacement includes: Analyze the displacement change data in the second corresponding relationship to obtain a displacement mutation point and a time corresponding to the displacement mutation point; Based on the displacement mutation point, the time corresponding to the displacement mutation point, and the first corresponding relationship, a specific frequency corresponding to the displacement mutation point is obtained.

7. The method for testing the vibration characteristics of an audio device according to claim 1, wherein: The obtaining, based on the first corresponding relationship and the second corresponding relationship, a third corresponding relationship representing the relationship between frequency and displacement includes: Based on the first corresponding relationship and the second corresponding relationship, a third corresponding relationship between displacement and frequency is generated through data matching or interpolation.

8. The method for testing the vibration characteristics of an audio device according to claim 1, wherein: The frequency sweep signal changes linearly or nonlinearly from low frequency to high frequency, covering the full frequency range of the audio equipment.

9. The method for testing the vibration characteristics of an audio device according to claim 8, wherein: The obtaining of a specific frequency corresponding to the displacement mutation point based on the first corresponding relationship and the second corresponding relationship includes: In the second corresponding relationship, a mutation detection algorithm is used to analyze the change of displacement over time, and the initial time point at which the displacement changes significantly is detected as the displacement mutation point.

10. A device for testing the vibration characteristics of an audio device, characterized in that: include: an audio capture element and an image capture element, wherein the audio capture element acquires an audio signal, and the image capture element acquires a displacement image, wherein the audio signal and the displacement image are captured simultaneously when the audio device plays a swept frequency signal, and the displacement image is an image sequence of the location of the audio device; A first processing module, configured to generate a first correspondence between time and frequency by performing time-frequency analysis on the audio signal; a second processing module, configured to extract the displacement of the audio device by processing the displacement image, and generate a second correspondence between time and displacement; The third processing module is used to obtain a specific frequency corresponding to the displacement mutation point based on the first corresponding relationship and the second corresponding relationship, and / or obtain a third corresponding relationship representing the relationship between frequency and displacement, wherein the specific frequency corresponding to the displacement mutation point is the lowest resonant frequency.

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