Horn cavity test method, apparatus, medium, and program product

Abstract

Embodiments of the present application provide a kind of horn cavity test method, equipment, medium and program product, it is related to test technical field or electronic equipment technical field.The method comprises: controlling the horn to emit sound;Through the multiple optical fiber sensors, the sound wave vibration signal in the horn cavity is collected, the sound wave vibration signal is vibration data continuously distributed along the length direction of optical fiber;The sound wave vibration signal is carried out optical signal demodulation processing, and the frequency domain feature of the sound wave vibration signal is extracted;According to the frequency domain feature of the sound wave vibration signal, the sampling parameter of the multiple optical fiber sensors is adjusted, and the frequency domain feature of new sound wave vibration signal is obtained again;According to the multiple frequency domain features obtained by adjusting the sampling parameter of the multiple optical fiber sensors multiple times, the test result of the horn cavity is determined.The method is used to reach the effect of improving the accuracy of horn cavity test.

Description

Technical Field

[0001] This application relates to the field of testing technology or electronic equipment technology, and in particular to a speaker cavity testing method, equipment, medium and program product. Background Technology

[0002] In the fields of audio equipment manufacturing, automotive audio system development, and professional acoustic testing, the speaker cavity, as the core structure for sound wave propagation and resonance, directly determines the sound quality, frequency response characteristics, and noise suppression capabilities of the final product. Therefore, testing the speaker cavity is crucial.

[0003] Currently, existing speaker cavity testing methods mainly rely on microphones as the core sensor element for testing. This method is based on the acquisition of analog signals by microphones fixed at specific positions outside the cavity, and the analysis of parameters such as frequency response, resonance peaks, and abnormal sounds after conversion by analog-to-digital converters (ADCs).

[0004] However, existing speaker cavity testing methods are inaccurate due to the susceptibility of the microphone's metal structure to electromagnetic interference and the limitations of the microphone's installation location. Summary of the Invention

[0005] This application provides a method, device, medium, and program product for testing speaker cavities, which aims to improve the accuracy of speaker cavity testing.

[0006] In a first aspect, embodiments of this application provide a method for testing a horn cavity, applied to a testing device, wherein an optical fiber sensing network is deployed on the surface and / or inside the horn cavity, the optical fiber sensing network comprising multiple optical fiber sensors arranged along a key region of the cavity, and the method comprising:

[0007] Control the speaker to emit sound;

[0008] The acoustic vibration signals inside the speaker cavity are acquired by the multiple fiber optic sensors. The acoustic vibration signals are vibration data that are continuously distributed along the length of the fiber.

[0009] The acoustic vibration signal is subjected to optical signal demodulation processing to extract the frequency domain features of the acoustic vibration signal;

[0010] The sampling parameters of the multiple fiber optic sensors are adjusted according to the frequency domain characteristics of the acoustic vibration signal to obtain new frequency domain characteristics of the acoustic vibration signal.

[0011] The test results of the speaker cavity are determined based on multiple frequency domain characteristics obtained by adjusting the sampling parameters of the multiple fiber optic sensors multiple times.

[0012] In one possible implementation, the plurality of fiber optic sensors are distributed along the diaphragm edge, cavity wall and sound outlet of the speaker cavity to form the fiber optic sensing network covering the key areas of the cavity.

[0013] In one possible implementation, the deployment path and density of the plurality of fiber optic sensors are determined based on the geometry and acoustic requirements of the horn cavity, wherein, in the case of a miniature horn, the plurality of fiber optic sensors are spirally wound around the wall of the horn cavity and cover the edge of the diaphragm of the horn cavity in a grid pattern.

[0014] In one possible implementation, a piezoelectric sensor is also deployed inside the speaker cavity. A multi-sensor fusion algorithm is used to fuse the multi-source data of the fiber optic sensing network and the piezoelectric sensor to reconstruct the three-dimensional distribution characteristics of the sound field inside the cavity.

[0015] The determination of the test results for the speaker cavity based on multiple frequency domain characteristics obtained by repeatedly adjusting the sampling parameters of the multiple fiber optic sensors includes:

[0016] The test results of the speaker cavity are determined based on the aforementioned multiple frequency domain characteristics and the aforementioned three-dimensional distribution characteristics.

[0017] In one possible implementation, a visualization interface displays the multiple frequency domain features, a sound field visualization interface corresponding to the three-dimensional distribution characteristics, and the test results.

[0018] In one possible implementation, the optical signal demodulation processing of the acoustic vibration signal includes:

[0019] The acoustic vibration signals collected by the multiple fiber optic sensors are compensated for time delay using a pre-determined time delay-position mapping table. The time delay-position mapping table is calibrated through pre-experimentation and represents the mapping relationship between the propagation time delay and position of the acoustic vibration signals of the multiple fiber optic sensors.

[0020] The acoustic vibration signal after time delay compensation is subjected to optical signal demodulation processing.

[0021] In one possible implementation, the step of performing optical signal demodulation processing on the acoustic vibration signal to extract the frequency domain features of the acoustic vibration signal includes:

[0022] The frequency domain analysis of the reflected light signals from the multiple fiber optic sensors is performed using an optical signal demodulation device to extract the frequency response and abnormal sounds of the acoustic vibration signals.

[0023] Secondly, embodiments of this application provide a horn cavity testing device, applied to testing equipment, wherein an optical fiber sensing network is deployed on the surface and / or inside the horn cavity, the optical fiber sensing network including multiple optical fiber sensors arranged along a key region of the cavity, and the device comprising:

[0024] The control module controls the speaker to emit sound;

[0025] The acquisition module acquires acoustic vibration signals within the speaker cavity through the multiple fiber optic sensors. The acoustic vibration signals are vibration data continuously distributed along the length of the fiber optic cable.

[0026] The extraction module performs optical signal demodulation processing on the acoustic vibration signal to extract the frequency domain features of the acoustic vibration signal;

[0027] The module obtains the frequency domain characteristics of the acoustic vibration signal by adjusting the sampling parameters of the multiple fiber optic sensors.

[0028] The determination module determines the test results of the speaker cavity based on multiple frequency domain characteristics obtained by adjusting the sampling parameters of the multiple fiber optic sensors multiple times.

[0029] Thirdly, embodiments of this application provide an electronic device, including: a memory and a processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory, causing the processor to perform the first aspect and / or various possible implementations of the first aspect as described above.

[0030] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the first aspect and / or various possible implementations of the first aspect.

[0031] Fifthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the first aspect and / or various possible implementations of the first aspect.

[0032] The speaker cavity testing method, equipment, medium, and program products provided in this application lay the foundation for subsequent speaker cavity testing by controlling the speaker to emit sound. By acquiring acoustic vibration signals within the speaker cavity through multiple fiber optic sensors, vibration data continuously distributed along the fiber length can be obtained, providing stable support for subsequent extraction of frequency domain features. Optical demodulation processing of the acoustic vibration signals yields their frequency domain characteristics, ensuring the stability of the test data. Adjusting the sampling parameters of the multiple fiber optic sensors based on the frequency domain characteristics of the acoustic vibration signals allows for the acquisition of new frequency domain characteristics of the acoustic vibration signals, improving the reliability of the speaker cavity testing. Based on multiple frequency domain features obtained by adjusting the sampling parameters of the multiple fiber optic sensors repeatedly, the test results of the speaker cavity can be determined, achieving precise acquisition of acoustic vibration signals within the speaker cavity, thereby improving the accuracy of the speaker cavity testing. Attached Figure Description

[0033] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0034] Figure 1 A schematic flowchart illustrating a speaker cavity testing method provided in an embodiment of this application;

[0035] Figure 2 A schematic diagram of the architecture of a speaker cavity testing system provided in this application embodiment;

[0036] Figure 3 This is a schematic diagram of the structure of a speaker cavity testing device provided in an embodiment of this application;

[0037] Figure 4 This is a schematic diagram of the structure of an electronic device provided in this application.

[0038] The accompanying drawings have illustrated specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to specific embodiments. Detailed Implementation

[0039] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0040] In this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" or "for example" in this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0041] In the embodiments of this application, the use of terms such as "first" and "second" is to distinguish between identical or similar items that have essentially the same function and effect. For example, "first electronic device" and "second electronic device" are merely used to distinguish different electronic devices and do not limit their order of execution. Those skilled in the art will understand that the terms "first" and "second" do not limit the quantity or execution order, and that "first" and "second" do not necessarily imply that they are different.

[0042] In this application embodiment, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following associated objects have an "or" relationship.

[0043] The following is an explanation of some terms used in the embodiments of this application:

[0044] Acoustic vibration signal: refers to the modulated light signal that is sensed and converted by the fiber optic sensor when the speaker cavity is working.

[0045] Optical Frequency Domain Reflectometer (OFDR): refers to a technical device that extracts vibration frequencies by analyzing the interference modes of optical signals in the frequency domain.

[0046] Optical Time Domain Reflectometer (OTDR): A technical device that extracts fiber optic link parameters or distributed physical quantities by analyzing the time difference and intensity changes of backscattered light and probe light propagating along an optical fiber in the time domain.

[0047] In the fields of audio equipment manufacturing, automotive audio system development, and professional acoustic testing, the speaker cavity, as the core structure for sound wave propagation and resonance, directly determines the sound quality, frequency response characteristics, and noise suppression capabilities of the final product. Therefore, testing the speaker cavity is crucial.

[0048] Currently, existing speaker cavity testing methods mainly rely on microphones as the core sensor element for testing. This method is based on microphones arranged in a point-like manner at specific locations outside the cavity to collect analog signals, which are then converted by an analog-to-digital converter (ADC). Parameters such as frequency response, resonance peaks, and abnormal sounds are then analyzed using dedicated software.

[0049] However, existing speaker cavity testing methods are inaccurate because the microphone's metal structure is susceptible to electromagnetic interference, and the microphone's installation location is limited, making it difficult to sample in miniature cavities or confined spaces.

[0050] Considering the aforementioned problems with existing speaker cavity testing methods, this application proposes a method for speaker cavity testing that does not rely on a traditional microphone. This method can improve the accuracy of speaker cavity testing.

[0051] The technical solutions of this application will be described in detail below with reference to specific embodiments. The specific embodiments described below can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of this application will be described below with reference to the accompanying drawings.

[0052] The execution entity of this horn cavity testing method can be, for example, a horn cavity testing system. Optionally, the battery management system can be, for example, any existing electronic device with processing capabilities, such as a terminal or a server. In some embodiments, the horn cavity testing system can also be deployed in a server cluster or cloud environment. This application does not limit the deployment environment of the horn cavity testing system.

[0053] Figure 1 This is a flowchart illustrating a speaker cavity testing method provided in an embodiment of this application, as shown below. Figure 1 As shown, the method is applied to a test device, wherein an optical fiber sensing network is deployed on the surface of the horn cavity, or inside the horn cavity, or on both the surface and inside the horn cavity. The optical fiber sensing network includes multiple optical fiber sensors arranged along a key region of the cavity. The method includes:

[0054] S101 controls the speaker to emit sound.

[0055] For example, a loudspeaker can be a loudspeaker device that converts electrical signals into sound waves.

[0056] Optionally, the speaker cavity testing system can control the frequency, timbre, and volume of the speaker's sound output by inputting a specific electrical signal to the speaker. The speaker cavity testing system can also be programmed using embedded hardware such as a microcontroller to control the speaker's sound output.

[0057] S102, the acoustic vibration signal inside the speaker cavity is acquired by the multiple fiber optic sensors. The acoustic vibration signal is vibration data that is continuously distributed along the length of the fiber.

[0058] In some embodiments, multiple fiber optic sensors are distributed along the diaphragm edge, cavity wall, and sound outlet of the speaker cavity to form a fiber optic sensing network covering key areas of the cavity.

[0059] For example, an optical fiber sensor can be a sensor that uses the optical properties of optical fibers to collect physical quantities such as vibration, sound pressure, and displacement.

[0060] Optionally, the speaker cavity testing system can arrange multiple fiber optic sensors in a symmetrical, evenly spaced distribution based on the diaphragm edge, cavity wall, and sound outlet of the speaker cavity. For example, the speaker cavity testing system can arrange multiple fiber optic sensors at equal circumferential angles on the diaphragm edge, arrange multiple fiber optic sensors on the cavity wall in a height grid manner, or combine multiple fiber optic sensors in a center-peripheral arrangement.

[0061] Optionally, the speaker cavity testing system can also be based on a fiber Bragg grating array, distributing multiple fiber optic sensors along the diaphragm edge, cavity wall, and sound outlet of the speaker cavity to form a sensing network covering key areas of the cavity. For example, the speaker cavity testing system can arrange fiber optic sensors at equal angles along the diaphragm edge to monitor the vibration strain of the diaphragm edge; arrange fiber optic sensors on the cavity wall in three layers (top, middle, and bottom), with each layer at 90-degree circumferential angles, to monitor minute changes in the cavity wall caused by sound pressure; and arrange fiber optic sensors at equal intervals around the sound outlet to monitor the pressure strain of the emitted sound waves.

[0062] By using the above method, multiple fiber optic sensors are distributed along the edge of the diaphragm, the cavity wall, and the sound outlet of the speaker cavity, forming a sensor network covering the key areas of the cavity. This ensures that the sound wave vibration signal is collected synchronously in the key areas and captures the propagation pattern of the sound wave vibration signal at different locations in real time.

[0063] Optionally, the horn cavity testing system can collect acoustic vibration signals continuously distributed along the fiber optic length within the horn cavity based on the multiple fiber optic sensors deployed along the key areas of the horn cavity.

[0064] As one possible implementation, the deployment path and density of multiple fiber optic sensors are determined based on the geometry and acoustic requirements of the horn cavity. In the case of a miniature horn, the multiple fiber optic sensors are spirally wound around the wall of the horn cavity and cover the edge of the diaphragm of the horn cavity in a grid pattern.

[0065] For example, the deployment path can be the controlled arrangement trajectory of the multiple fiber optic sensors on the horn cavity. For instance, the deployment path can be spiral, grid-like, or ring-shaped.

[0066] For example, deployment density can be the number of fiber optic sensors arranged per unit length, or per unit area.

[0067] For example, helical winding can be a form in which the fiber optic sensor is deployed along the cavity wall in a continuous helical trajectory.

[0068] For example, a grid-like coverage could be a deployment of fiber optic sensors that cover the edges of the diaphragm in a cross-grid structure.

[0069] For example, acoustic requirements can be the acoustic performance specifications of a loudspeaker. Acoustic performance can include frequency response range, distortion, and sound pressure level, among other things.

[0070] Optionally, the horn cavity testing system can first analyze the geometry and acoustic requirements of the horn cavity to determine the deployment path and density of multiple fiber optic sensors. For example, if the wall of the miniature horn is cylindrical, a spiral path can be selected to deploy the fiber optic sensors; if high-frequency vibration needs to be monitored, the deployment density of the fiber optic sensors can be increased.

[0071] Optionally, for the case where the horn is a miniature horn, the horn cavity testing system can use a single-mode distributed sensing fiber, which is spirally wound around the wall with a pitch of 1 mm. At the same time, the same sensing fiber is extended to the edge of the diaphragm, forming a cross grid with two turns of annular grids with radii of 4 mm and 3.5 mm, and four radial grids spaced at 90 degrees, covering the edge of the diaphragm.

[0072] Using the above method, based on the geometry and acoustic requirements of the horn cavity, the deployment path and density of multiple fiber optic sensors can be determined. Specifically, in the case of a miniature horn, the multiple fiber optic sensors are spirally wound around the wall of the horn cavity and cover the edge of the diaphragm in a grid pattern. This achieves flexible adaptation to miniature cavities or irregular structures, providing stable support for subsequent data acquisition.

[0073] S103, perform optical signal demodulation processing on the acoustic vibration signal to extract the frequency domain features of the acoustic vibration signal.

[0074] For example, optical signal demodulation processing can be used to demodulate the optical signal collected by the fiber optic sensor and extract the time-domain or frequency-domain features of the acoustic vibration signal.

[0075] For example, frequency domain features can be acoustic wave vibration frequency-related parameters obtained through optical signal demodulation processing. For instance, frequency domain features may include the frequency response, phase spectrum, resonance peak distribution, and anomalous sound patterns of the acoustic wave vibration signal.

[0076] As one possible implementation, the speaker cavity testing system can use an optical signal demodulation device to perform frequency domain analysis on the reflected light signals from multiple fiber optic sensors, and extract the frequency response and abnormal sounds of the acoustic vibration signal.

[0077] For example, an optical signal demodulation device can be a device for converting optical signals acquired by an optical fiber sensor into analyzable data. For instance, an optical signal demodulation device could be an optical frequency domain reflectometer (OFDR) or an optical time domain reflectometer (OTDR).

[0078] For example, frequency domain analysis can be a processing method that transforms a time-domain signal into a frequency dimension through mathematical transformations, and analyzes the amplitude, phase, and other characteristics of the signal at different frequencies. For instance, frequency domain analysis can be performed by transforming the characteristics of a time-varying optical signal into a frequency dimension through Fourier transform or power spectrum analysis.

[0079] For example, the frequency response can be the relationship between the vibration response of the speaker cavity and the frequency under sound wave excitation at different frequencies. The vibration response of the speaker cavity can be the amplitude of the diaphragm or the sound pressure level of the cavity wall.

[0080] For example, abnormal sounds can be unexpected vibration signals that deviate from the normal frequency response range during the speaker's sound production process. For instance, abnormal sounds can be additional high-frequency noise generated by resonance, or low-frequency distortion signals caused by structural defects.

[0081] Optionally, the speaker cavity testing system receives reflected light signals from multiple fiber optic sensors. An optical signal demodulation device demodulates and analyzes these reflected light signals, converting them into electrical signals or digital signals linearly related to the vibration physical quantity. Based on the frequency domain analysis of the demodulated electrical or digital signal, the frequency response and abnormal sounds of the acoustic vibration signal are extracted.

[0082] Optionally, the horn cavity testing system can receive reflected light signals from distributed fiber optic sensors using OFDR, extract the vibration phase changes of each fiber optic sensor through frequency domain analysis, convert them into global vibration displacement time-domain signals, and perform power spectrum analysis on the time-domain displacement signals of each fiber optic sensor to obtain the corresponding spectrum of position, frequency, and power. Based on the above spectrum, the horn cavity testing system can statistically analyze the average power distribution across the entire design frequency band, extract the frequency response from the frequency characteristics, and identify abnormal sounds in the frequency characteristics by recognizing non-design frequency power peaks at local locations in the three-dimensional spectrum.

[0083] Optionally, the speaker cavity testing system can also use the frequency dimension information obtained from the optical signal demodulation processing of the acoustic wave vibration signal to input the frequency dimension information into a frequency domain feature extraction model. The frequency domain feature extraction model then extracts the frequency domain features of the acoustic wave vibration signal, which are used as the frequency domain features of the acoustic wave vibration signal. For example, the frequency domain feature extraction model can be any pre-trained deep learning model or machine learning model with frequency domain feature extraction capabilities. For instance, the speaker cavity testing system can use this frequency domain feature extraction model to extract the frequency response of the acoustic wave vibration signal, as well as any abnormal sounds.

[0084] Using the above method, the reflected light signals from multiple fiber optic sensors can be analyzed in the frequency domain using an optical signal demodulation device. This allows for the extraction of the frequency response and abnormal sounds of the acoustic vibration signal, providing fundamental data for subsequent analysis of the sampling parameters of the multiple fiber optic sensors, thereby improving the accuracy of the speaker cavity test.

[0085] S104. Adjust the sampling parameters of the multiple fiber optic sensors according to the frequency domain characteristics of the acoustic vibration signal to obtain the new frequency domain characteristics of the acoustic vibration signal.

[0086] For example, sampling parameters can be key settings for fiber optic sensors to acquire acoustic vibration signals. These parameters could include, for instance, the sampling frequency, or resolution.

[0087] Optionally, the horn cavity testing system can analyze the frequency domain characteristics of the acoustic vibration signal to obtain analysis results. Based on these analysis results, the sampling parameters of the multiple fiber optic sensors are dynamically adjusted, and the acoustic vibration signal is re-acquired using the adjusted sampling parameters to obtain new frequency domain characteristics of the acoustic vibration signal.

[0088] For example, if the speaker cavity testing system detects a high-frequency abnormal sound in the frequency domain characteristics of the acoustic vibration signal, it increases the sampling frequency to re-acquire the acoustic vibration signal and obtain new frequency domain characteristics. If the frequency domain characteristics of the acoustic vibration signal are stable between 1 Hz and 5 Hz, the sampling frequency band can be narrowed to re-acquire the acoustic vibration signal and obtain new frequency domain characteristics.

[0089] Optionally, the speaker cavity testing system can also construct a prompt word based on the frequency domain characteristics of the acoustic vibration signal, and input the prompt word into the adjustment model to obtain the adjusted sampling parameters of the multiple fiber optic sensors. The prompt word is used to determine the sampling parameters of the multiple fiber optic sensors based on the frequency domain characteristics of the acoustic vibration signal. It should be understood that this application does not limit the training method of the adjustment model; it can be any existing method for training the adjustment model, which will not be elaborated upon here.

[0090] Optionally, the speaker cavity testing system can also preset a mapping table between frequency domain characteristics and sampling parameters. Based on the extracted frequency domain characteristics of the acoustic vibration signal, the mapping table is consulted to determine the sampling parameters of the multiple fiber optic sensors.

[0091] S105. Based on the multiple frequency domain characteristics obtained by adjusting the sampling parameters of the multiple fiber optic sensors multiple times, determine the test results of the speaker cavity.

[0092] For example, the test results of the speaker cavity may include at least one conclusion such as performance parameters, quality judgment, or defect location.

[0093] For example, multiple frequency domain features can be multiple sets of frequency domain features extracted after adjusting the sampling parameters of the multiple fiber optic sensors multiple times.

[0094] Optionally, the speaker cavity testing system can integrate multiple frequency domain characteristics obtained after multiple adjustments to establish a correlation database of frequency domain characteristics, corresponding sampling parameters, and the speaker cavity region. The system can also analyze this correlation database in conjunction with the speaker cavity's design standards to determine the test results. For example, the test results might show that the frequency response range meets the standards, but an abnormal sound at 25 kHz causes it to fail, with the defect located 3 mm from the diaphragm edge.

[0095] The speaker cavity testing method, equipment, medium, and program products provided in this application are applied to a testing device. An optical fiber sensing network is deployed on the surface of the speaker cavity, or inside the speaker cavity, or both the surface and inside the speaker cavity. This optical fiber sensing network includes multiple optical fiber sensors arranged along key areas of the cavity. By controlling the speaker to emit sound, a foundation is laid for subsequent speaker cavity testing. By acquiring acoustic vibration signals within the speaker cavity through these multiple optical fiber sensors, vibration data continuously distributed along the fiber length can be obtained, providing stable support for subsequent extraction of frequency domain features.

[0096] Optical demodulation of the acoustic vibration signal yields its frequency domain characteristics, ensuring the stability of the test data. Adjusting the sampling parameters of multiple fiber optic sensors based on these frequency domain characteristics allows for the acquisition of new frequency domain characteristics of the acoustic vibration signal, improving the reliability of the speaker cavity test. By repeatedly adjusting the sampling parameters of the multiple fiber optic sensors to obtain various frequency domain characteristics, the test results of the speaker cavity can be determined, achieving precise acquisition of the acoustic vibration signal within the speaker cavity and thus improving the accuracy of the speaker cavity test.

[0097] In some embodiments, a piezoelectric sensor is also deployed within the speaker cavity. The speaker cavity testing system can use a multi-sensor fusion algorithm to fuse multi-source data from the fiber optic sensor network and the piezoelectric sensor to reconstruct the three-dimensional distribution characteristics of the sound field inside the cavity. Then, based on multiple frequency domain features obtained by adjusting the sampling parameters of the multiple fiber optic sensors multiple times and the three-dimensional distribution characteristics, the test results of the speaker cavity are determined.

[0098] For example, a piezoelectric sensor can be a sensor that senses vibrations through the piezoelectric effect.

[0099] For example, the multi-source data can be two types of data: the data output from the fiber optic sensing network and the data output from the piezoelectric sensor. For instance, the multi-source data can include vibration data continuously distributed along the length of the fiber, as well as point-source high-frequency vibration electrical signals.

[0100] Optionally, the speaker cavity testing system can collect continuous vibration data across the entire cavity via an optical fiber sensor network and high-frequency dynamic data at key points via piezoelectric sensors. This data is then fused to calculate parameters such as sound pressure level, vibration frequency, and phase at any spatial point within the speaker cavity, forming a three-dimensional visualization of the spatial, sound pressure, and frequency distributions. This allows for the reconstructing of the three-dimensional distribution characteristics of the sound field inside the cavity.

[0101] Optionally, the horn cavity testing system can preset multiple frequency domain feature judgment criteria and three-dimensional distribution characteristic judgment criteria. Based on the obtained multiple frequency domain features and three-dimensional distribution characteristics, the system compares them with the multiple frequency domain feature judgment criteria and three-dimensional distribution characteristic judgment criteria, respectively, and outputs the multiple frequency domain feature judgment results and the three-dimensional distribution characteristic judgment results. If either of the above two results is "test result fails", the test result of the horn cavity is judged as "the horn cavity test fails", and the reason is marked. Only when both the multiple frequency domain feature judgment results and the three-dimensional distribution characteristic judgment results are "test result passes", the test result of the horn cavity is judged as "the horn cavity test passes".

[0102] For example, the criteria for judging multiple frequency domain characteristics can be to determine whether the test result of the speaker cavity passes by using preset key indicator thresholds. For example, the preset key indicator thresholds can be a frequency response range of 20 Hz to 20 kHz and a total harmonic distortion of less than 1%. If all preset key indicator thresholds are met, the output is "Test result passes"; if any key indicator does not meet the preset key indicator threshold, the output is "Test result fails".

[0103] For example, the criteria for determining the three-dimensional distribution characteristics could be to determine whether the test result of the speaker cavity passes by using preset spatial acoustic thresholds. For example, preset spatial acoustic thresholds could be that the sound pressure deviation at any point in the cavity is less than 3 dB and the standing wave ratio is less than 1.5. If all preset spatial acoustic thresholds are met, the output is "Test result passes"; if any one of them is not met, the output is "Test result fails".

[0104] Optionally, the system outputs a judgment result of multiple frequency domain features based on a preset key indicator threshold, and a judgment result of three-dimensional distribution characteristics based on a preset spatial acoustic threshold. If both results are "test result passed", the test result of the speaker cavity is determined to be "the speaker cavity test passed"; if either result is "test result failed", the test result of the speaker cavity is determined to be "the speaker cavity test failed".

[0105] Optionally, the speaker cavity testing system can also preset multiple frequency domain feature judgment criteria and three-dimensional distribution characteristic judgment criteria. Based on the obtained multiple frequency domain features and three-dimensional distribution characteristics, the system compares them with the multiple frequency domain feature judgment criteria and three-dimensional distribution characteristic judgment criteria, respectively, and outputs the multiple frequency domain feature judgment results and the three-dimensional distribution characteristic judgment results. If either of the above two results is "test result passed", the test result of the speaker cavity is judged as "the speaker cavity test passed". Only when both the multiple frequency domain feature judgment results and the three-dimensional distribution characteristic judgment results are "test result failed", the test result of the speaker cavity is judged as "the speaker cavity test failed", and the reason is marked.

[0106] Optionally, the horn cavity testing system can also assign weight coefficients based on the obtained multiple frequency domain feature results and three-dimensional distribution characteristic results, and calculate a weighted total score of the multiple frequency domain features and the three-dimensional distribution characteristic results. This weighted total score is compared with a preset pass threshold. If the weighted total score is higher than the preset pass threshold, the test result of the horn cavity is determined to be "the horn cavity has passed the test," and a performance level is output; if the weighted total score is lower than the preset pass threshold, the test result of the horn cavity is determined to be "the horn cavity has failed the test," and the indicators that need optimization are marked.

[0107] Optionally, the horn cavity testing system can also dynamically adjust the weighting coefficients of multiple frequency domain feature results and three-dimensional distribution characteristic results. For example, the implementation method of dynamically adjusting the weighting coefficients based on multiple frequency domain feature results and three-dimensional distribution characteristic results can refer to the method of adjusting weighting coefficients during the training process of any existing deep learning model, which will not be elaborated here.

[0108] By employing the aforementioned method and a multi-sensor fusion algorithm to fuse multi-source data from the fiber optic sensor network and the piezoelectric sensors deployed within the speaker cavity, the three-dimensional distribution characteristics of the sound field inside the cavity can be reconstructed, enabling the modeling of complex sound fields. Based on multiple frequency domain characteristics obtained by adjusting the sampling parameters of the various fiber optic sensors and the three-dimensional distribution characteristics, the test results of the speaker cavity are determined, improving the reliability of the speaker cavity test results.

[0109] As one possible implementation, the speaker cavity testing system can also display a visualization interface for the multiple frequency domain characteristics, a visualization interface for the sound field corresponding to the three-dimensional distribution characteristics, and the test results.

[0110] For example, the visualization interface for multiple frequency domain features can be an interactive interface that presents multiple sets of frequency domain features obtained by adjusting the sampling parameters multiple times in the form of charts. The chart format can be, for example, a spectrogram, a waterfall plot, or a bar chart.

[0111] For example, the sound field visualization interface corresponding to the three-dimensional distribution characteristics can be an interface that presents the reconstructed three-dimensional distribution characteristics of the sound field inside the cavity in the form of a three-dimensional model. The three-dimensional model can be, for example, a color heatmap, a three-dimensional mesh model, or a dynamic simulation animation.

[0112] Optionally, the speaker cavity testing system can standardize the multiple frequency domain characteristic data, perform grid-based modeling of the three-dimensional distribution characteristics, and convert the processed data into charts and models through visualization rendering algorithms.

[0113] Optionally, the speaker cavity testing system can also synchronize or display the visualization interface of the multiple frequency domain characteristics, the sound field visualization interface corresponding to the three-dimensional distribution characteristics, and the test results simultaneously. The speaker cavity testing system can also embed interactive controls in the charts and models to simultaneously display the test results, allowing for operations such as zooming, annotation, or parameter switching.

[0114] The above method displays the visualization interface of the multiple frequency domain features, the sound field visualization interface corresponding to the three-dimensional distribution characteristics, and the test results, thereby improving the readability of the speaker cavity test results and the efficiency of interpreting the speaker cavity test results.

[0115] The following is a detailed explanation of how the speaker cavity testing system performs optical signal demodulation on the acoustic vibration signal.

[0116] In some embodiments, the speaker cavity testing system can perform time delay compensation on the acoustic vibration signals collected by multiple fiber optic sensors using a pre-determined time delay-position mapping table. This time delay-position mapping table, calibrated through pre-experiments, defines the mapping relationship between the propagation time delay and position of the acoustic vibration signals from the multiple fiber optic sensors. Then, the time-delay-compensated acoustic vibration signals undergo optical signal demodulation processing.

[0117] For example, time delay compensation can be a process of time correction for acoustic vibration signals collected by multiple fiber optic sensors according to a time delay-location mapping table. For instance, time delay compensation can be achieved by superimposing a time delay compensation amount of corresponding duration on acoustic vibration signals collected by fiber optic sensors at different locations to eliminate the time difference in the propagation of acoustic vibration signals in the optical fiber.

[0118] For example, a preliminary experiment could be a time delay and positional relationship calibration experiment performed on multiple fiber optic sensors using specialized equipment before the formal testing of the speaker cavity.

[0119] Optionally, the speaker cavity testing system can measure the propagation delay of acoustic vibration signals at various locations on the optical fiber through pre-experimentation, and generate a time-delay-position mapping table based on the corresponding position coordinates. By reading the acoustic vibration signals collected by the optical fiber sensor, and according to the optical fiber sensor position corresponding to each acoustic vibration signal, the system queries the time-delay compensation amount from the time-delay-position mapping table to perform time-axis adjustment compensation on the acoustic vibration signals. The time-delay-compensated acoustic vibration signals are then demodulated optically to extract physical quantities such as the amplitude and frequency of the vibration.

[0120] Using the above method, and through pre-experimental calibration, the mapping relationship between the propagation time delay and position of the acoustic vibration signals from the multiple fiber optic sensors can be obtained, resulting in a time delay-position mapping table. This provides a reliable basis for subsequent time delay compensation. Using this pre-determined time delay-position mapping table, time delay compensation can be performed on the acoustic vibration signals collected by the multiple fiber optic sensors, ensuring that the acoustic vibration signals at different sensor positions are aligned with the time axis. Optical signal demodulation processing is then performed on the time delay-compensated acoustic vibration signals to improve the accuracy and reliability of the demodulation process.

[0121] This application also proposes another method for testing speaker cavities. This method uses fiber optic sensors to replace microphones as the core sensing components. Based on the structural characteristics of the speaker cavity, the sensors can be distributed at locations such as the diaphragm edge, cavity wall, and sound outlet to form a sensor network, ensuring that it can comprehensively capture data from different areas of the cavity.

[0122] Figure 2 This is a schematic diagram of the architecture of a speaker cavity testing system provided in an embodiment of this application, as shown below. Figure 2 As shown, the speaker cavity testing system is divided into four layers: a sensing layer, a data transmission layer, a data processing layer, and an application layer. Among them:

[0123] (1) Sensing layer: includes diaphragm edge sensor, cavity wall sensor and sound outlet sensor.

[0124] (2) Data transmission layer: includes photoelectric conversion module and multiplexer.

[0125] (3) Data processing layer: includes spectral analysis module, sound field extraction algorithm and data extraction module.

[0126] (4) Application layer: includes three-dimensional sound field visualization, parameter report generation, and system calibration interface.

[0127] Figure 3 This is a schematic diagram of the structure of a speaker cavity testing device provided in an embodiment of this application, as shown below. Figure 3As shown, in a testing device, an optical fiber sensing network is deployed on the surface of the horn cavity, or inside the horn cavity, or both the surface and inside the horn cavity. This optical fiber sensing network includes multiple optical fiber sensors arranged along a key region of the cavity. The horn cavity testing device 30 includes:

[0128] Control module 301 is used to control the speaker to emit sound;

[0129] The acquisition module 302 is used to acquire acoustic vibration signals in the speaker cavity through the multiple fiber optic sensors. The acoustic vibration signals are vibration data that are continuously distributed along the length of the fiber optic cable.

[0130] The extraction module 303 is used to perform optical signal demodulation processing on the acoustic vibration signal and extract the frequency domain features of the acoustic vibration signal.

[0131] The module 304 is used to adjust the sampling parameters of the multiple fiber optic sensors according to the frequency domain characteristics of the acoustic vibration signal, and to obtain the new frequency domain characteristics of the acoustic vibration signal.

[0132] The determination module 305 is used to determine the test results of the speaker cavity based on multiple frequency domain characteristics obtained by adjusting the sampling parameters of the multiple fiber optic sensors multiple times.

[0133] Optionally, the acquisition module 302 is also used to distribute the multiple fiber optic sensors along the diaphragm edge, cavity wall and sound outlet of the speaker cavity to form the fiber optic sensing network covering the key area of ​​the cavity.

[0134] Optionally, the acquisition module 302 is also used to determine the deployment path and deployment density of the plurality of fiber optic sensors according to the geometry and acoustic requirements of the horn cavity. In the case that the horn is a miniature horn, the plurality of fiber optic sensors are spirally wound around the wall of the horn cavity and cover the edge of the diaphragm of the horn cavity in a grid pattern.

[0135] Optionally, the extraction module 303 is also used to perform time delay compensation on the acoustic vibration signals collected by the multiple fiber optic sensors through a pre-determined time delay-position mapping table; the time delay-position mapping table is the mapping relationship between the propagation time delay and position of the acoustic vibration signals of the multiple fiber optic sensors, which is calibrated through pre-experiments.

[0136] Optionally, the extraction module 303 is also used to perform frequency domain analysis on the reflected light signals of the multiple fiber optic sensors using an optical signal demodulation device, and extract the frequency response and abnormal sound of the acoustic vibration signal.

[0137] Optionally, the determining module 305 is also used to fuse the multi-source data of the fiber optic sensing network and the piezoelectric sensor through a multi-sensor fusion algorithm to reconstruct the three-dimensional distribution characteristics of the sound field inside the cavity.

[0138] The test results for the speaker cavity are determined based on multiple frequency domain characteristics obtained by adjusting the sampling parameters of the multiple fiber optic sensors over multiple adjustments, including:

[0139] Based on these multiple frequency domain characteristics and the three-dimensional distribution characteristics, the test results of the speaker cavity are determined.

[0140] Optionally, the determining module 305 is also used to display the visualization interface of the multiple frequency domain features, the sound field visualization interface corresponding to the three-dimensional distribution characteristics, and the test results.

[0141] The speaker cavity testing device provided in this application can be used to execute the technical solutions of any of the above embodiments of this application. Its implementation principle and technical effect are similar, and will not be described again here.

[0142] Figure 4 This is a schematic diagram of the structure of an electronic device provided in this application. Figure 4 As shown, the electronic device 400 provided in this embodiment includes at least one processor 401 and a memory 402. Optionally, the device 400 further includes a communication component 403. The processor 401, memory 402, and communication component 403 are connected via a bus 404.

[0143] In a specific implementation, at least one processor 401 executes computer execution instructions stored in memory 402, causing at least one processor 401 to perform the above-described method.

[0144] Optionally, the memory 402 can be either standalone or integrated with the processor 401.

[0145] The implementation principle and technical effects of the electronic device provided in this embodiment can be found in the foregoing embodiments, and will not be repeated here.

[0146] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the method of any of the foregoing embodiments.

[0147] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the method of any of the foregoing embodiments.

[0148] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of modules is only a logical functional division, and there may be other division methods in actual implementation. For example, multiple modules may be combined or integrated into another system, or some features may be ignored or not executed.

[0149] The integrated modules described above, implemented as software functional modules, can be stored in a computer-readable storage medium. These software functional modules, stored in a storage medium, include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute certain steps of the methods described in the various embodiments of this application.

[0150] It should be understood that the aforementioned processor can be a Central Processing Unit (CPU) or other general-purpose processors. The processor can also be a Digital Signal Processor (DSP) or an Application Specific Integrated Circuit (ASIC), etc. A general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the application can be directly manifested as being executed by a hardware processor, or executed by a combination of hardware and software modules within the processor.

[0151] The memory may include random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage device, and may also be various media that can store program code, such as USB flash drives, portable hard drives, read-only memory (ROM), disks or optical discs.

[0152] The aforementioned storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof. Examples of storage media include Static Random-Access Memory (SRAM) or Electrically Erasable Programmable Read Only Memory (EEPROM).

[0153] Storage media can be, for example, erasable programmable read-only memory (EPROM) or programmable read-only memory (PROM). Storage media can also be read-only memory (ROM), magnetic storage, flash memory, magnetic disks, or optical disks. Storage media can be any available medium accessible to general-purpose or special-purpose computers.

[0154] An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Alternatively, the storage medium can be an integral part of the processor. The processor and storage medium can reside within an application-specific integrated circuit (ASIC). Alternatively, the processor and storage medium can exist as discrete components within an electronic device or host device.

[0155] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0156] The sequence numbers of the embodiments in this application are merely for description and do not represent the superiority or inferiority of the embodiments. Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method.

[0157] Based on this understanding, the technical solution of this application, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods of the various embodiments of this application.

[0158] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

[0159] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to this application.

[0160] It should be further noted that although the steps in the flowchart are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise explicitly stated in this document, there is no strict order requirement for the execution of these steps, and they can be executed in other orders.

[0161] Furthermore, at least some steps in the flowchart may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but may be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but may be executed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.

[0162] In the above embodiments, the descriptions of each embodiment have their own emphasis. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments. The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as the combination of these technical features does not contradict each other, it should be considered within the scope of this specification.

[0163] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.

[0164] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A method for testing a speaker cavity, characterized in that, An optical fiber sensing network is deployed on the surface and / or inside the speaker cavity of a testing device. The optical fiber sensing network includes multiple optical fiber sensors arranged along a key region of the cavity, including the diaphragm edge, the cavity wall, and the sound outlet. The multiple optical fiber sensors are distributed along the diaphragm edge, the cavity wall, and the sound outlet of the speaker cavity to form an optical fiber sensing network covering the key region of the cavity. The method includes: Control the speaker to emit sound; The acoustic vibration signals inside the speaker cavity are acquired by the multiple fiber optic sensors. The acoustic vibration signals are vibration data that are continuously distributed along the length of the fiber. The acoustic vibration signal is subjected to optical signal demodulation processing to extract the frequency domain features of the acoustic vibration signal; The sampling parameters of the multiple fiber optic sensors are adjusted according to the frequency domain characteristics of the acoustic vibration signal to obtain new frequency domain characteristics of the acoustic vibration signal. The test results of the speaker cavity are determined based on multiple frequency domain characteristics obtained by adjusting the sampling parameters of the multiple fiber optic sensors multiple times.

2. The method according to claim 1, characterized in that, The deployment path and density of the multiple fiber optic sensors are determined based on the geometry and acoustic requirements of the speaker cavity. The acoustic requirements are the acoustic performance indicators of the speaker, including frequency response range, distortion, and sound pressure level. In the case of a miniature speaker, the multiple fiber optic sensors are spirally wound around the wall of the speaker cavity and cover the edge of the diaphragm of the speaker cavity in a grid pattern.

3. The method according to any one of claims 1-2, characterized in that, A piezoelectric sensor is also deployed inside the horn cavity, and the method further includes: The multi-source data of the fiber optic sensing network and the piezoelectric sensor are fused by a multi-sensor fusion algorithm to reconstruct the three-dimensional distribution characteristics of the sound field inside the cavity. The determination of the test results for the speaker cavity based on multiple frequency domain characteristics obtained by repeatedly adjusting the sampling parameters of the multiple fiber optic sensors includes: The test results of the speaker cavity are determined based on the aforementioned multiple frequency domain characteristics and the aforementioned three-dimensional distribution characteristics.

4. The method according to claim 3, characterized in that, The method further includes: The visualization interface displays the multiple frequency domain features, the sound field visualization interface corresponding to the three-dimensional distribution characteristics, and the test results.

5. The method according to any one of claims 1-2, characterized in that, The optical signal demodulation processing of the acoustic vibration signal includes: The acoustic vibration signals collected by the multiple fiber optic sensors are compensated for time delay using a pre-determined time delay-position mapping table. The time delay-position mapping table is calibrated through pre-experimentation and represents the mapping relationship between the propagation time delay and position of the acoustic vibration signals of the multiple fiber optic sensors. The acoustic vibration signal after time delay compensation is subjected to optical signal demodulation processing.

6. The method according to any one of claims 1-2, characterized in that, The step of performing optical signal demodulation processing on the acoustic vibration signal to extract the frequency domain features of the acoustic vibration signal includes: The frequency domain analysis of the reflected light signals from the multiple fiber optic sensors is performed using an optical signal demodulation device to extract the frequency response and abnormal sounds of the acoustic vibration signals.

7. An electronic device, characterized in that, include: Memory and processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory, causing the processor to perform the method as described in any one of claims 1-6.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-6.

9. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method according to any one of claims 1-6.

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