Bluetooth microphone acoustic test method and device

Abstract

The invention discloses a Bluetooth microphone acoustic testing method and device, and relates to the technical field of microphone testing. The Bluetooth microphone acoustic testing method comprises the following steps of wireless transmission testing, repairing and shunting and audio quality evaluation. The wireless transmission test index is obtained through the wireless transmission test data, and if the wireless transmission capability of the to-be-tested Bluetooth microphone sample is not qualified, the repair shunt coefficient is obtained based on the acquired acoustic component quality data and the wireless transmission test data; the to-be-tested Bluetooth microphone sample with the unqualified wireless transmission capability is subjected to repair grade division according to the repair shunting coefficient, and finally, whether to be scrapped or not is judged according to the audio quality evaluation index, so that the effect of improving the reliability of the acoustic test of the Bluetooth microphone is achieved. The problem that in the prior art, the correlation degree of Bluetooth microphone acoustic testing and wireless transmission testing is low is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of microphone testing, and in particular to a method and device for acoustic testing of a Bluetooth microphone. Background Art

[0002] With the widespread application of Bluetooth technology, Bluetooth microphones have gradually become an important part of smart devices due to their portability and efficiency. In practical applications, in order to ensure the sound quality and performance of Bluetooth microphones, acoustic testing has become a key link in the research and development and production process. Traditional testing methods often have problems of low efficiency and low precision. Therefore, it is particularly important to develop an efficient Bluetooth microphone acoustic testing method and device. This type of method combines Bluetooth wireless communication technology with precision acoustic measurement technology, aiming to optimize the test process, improve test accuracy and reliability, and meet the market's growing demand for high-quality audio equipment.

[0003] Existing acoustic testing methods for Bluetooth microphones mainly rely on traditional acoustic testing devices with wired connections. The testing process usually includes sound sampling, frequency response analysis, and distortion measurement. However, these methods require the microphone to be connected to the test equipment via a cable, which not only has low test efficiency, but also makes it difficult to simulate actual wireless usage scenarios. At the same time, some test systems require complex calibration processes, which increases test time and cost. For Bluetooth microphones, their wireless characteristics and environmental adaptability are difficult to fully evaluate using existing testing methods. Therefore, there is an urgent need for an efficient and accurate acoustic testing method and device that can adapt to the characteristics of Bluetooth wireless transmission to solve the shortcomings of existing technologies.

[0004] For example, the patent application with publication number: CN110602623A discloses a multi-channel microphone acoustic performance testing device and method, which includes: a probe card tooling, a signal switching circuit board and a test chassis, wherein the probe card tooling is used to transmit the performance signals of several microphones to be tested to the signal switching circuit board; the signal switching circuit board is used to transmit the performance signals of several microphones to be tested transmitted by the probe card tooling to the test chassis in batches; the test chassis is used to test the received performance signals to obtain the performance of each microphone to be tested.

[0005] For example, the invention patent with announcement number: CN111225332B announces a method and system for testing Bluetooth headsets, including: connecting the main headset and the auxiliary headset to be tested to the computer through a Bluetooth adapter module; the sound card receives the test audio digital signal from the computer and converts it into a test audio sound signal, which is then sent out through a first simulation group and a second simulation group, and after passing through the microphone and speaker of the Bluetooth headset, a first sound signal and a second sound signal are formed and transmitted back to the sound card, thereby obtaining a test result.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems: In the prior art, traditional acoustic testing methods mainly focus on frequency response testing, sensitivity testing, and signal-to-noise ratio testing of Bluetooth microphones. However, the bottleneck of performance testing of Bluetooth microphones is often in the wireless transmission link, and there is a problem of low correlation between Bluetooth microphone acoustic testing and wireless transmission testing. Summary of the invention

[0007] The embodiments of the present application solve the problem of low correlation between Bluetooth microphone acoustic testing and wireless transmission testing in the prior art by providing a Bluetooth microphone acoustic testing method and device, thereby improving the reliability of Bluetooth microphone acoustic testing.

[0008] An embodiment of the present application provides a Bluetooth microphone acoustic testing method, comprising the following steps: obtaining wireless transmission test data of a Bluetooth microphone sample to be tested through a measuring tool, and obtaining a wireless transmission test index based on the wireless transmission test data, wherein the wireless transmission test data includes transmission performance data and audio quality data, and the wireless transmission test index is used to evaluate whether the wireless transmission capability of the Bluetooth microphone sample to be tested is qualified; if the wireless transmission capability of the Bluetooth microphone sample to be tested is unqualified, obtaining a repair shunt coefficient based on the obtained acoustic component quality data and the wireless transmission test data, and dividing the Bluetooth microphone samples to be tested with unqualified wireless transmission capability into repair grades according to the repair shunt coefficient, and the repair shunt coefficient is used to judge the degree of necessity for repairing the Bluetooth microphone; obtaining an audio quality evaluation index through the audio quality data of the Bluetooth microphone sample to be tested after repair, the audio quality data before repair, and the repair data to judge whether to scrap the sample, and the audio quality evaluation index is used to quantify the degree of influence of the repair on the audio quality of the Bluetooth microphone.

[0009] Furthermore, the transmission performance data includes average signal delay, delay peak, average jitter value, jitter variance, total packet loss rate, number of consecutive packet loss occurrences, data packet retransmission rate, average number of retransmissions, channel utilization and channel interference rate; the audio quality data includes waveform signal deviation, short-time target signal-to-noise ratio, audio frame loss rate, continuous frame loss duration, number of audio interruptions and average interruption time; the acoustic component quality data includes scratch area, opening shape deviation, opening position deviation, shell gap width, shell deformation deviation and cavity assembly tolerance; the repair data includes repair time, number of replaced parts and fault location time.

[0010] Furthermore, the specific method of obtaining the wireless transmission test index is as follows: number the Bluetooth microphone samples to be tested, and obtain reference test data from a preset database, the reference test data including reference transmission data and reference quality data, the reference transmission data including maximum delay, minimum delay and maximum jitter value, and the reference quality data including maximum continuous frame loss duration and maximum interruption time; obtain reference weights from a preset database, the reference weights including transmission weights and quality weights; obtain transmission performance indicators based on the average signal delay, delay peak and average jitter value and the corresponding reference transmission data, and obtain a transmission performance index based on the transmission performance data and the transmission performance indicators, the transmission performance indicators including average delay indicators, delay peak indicators and jitter indicators; obtain an audio quality indicator based on the continuous frame loss duration and average interruption time and the corresponding reference quality data, and obtain an audio quality index based on the audio quality indicator and the audio quality data, the audio quality indicator including a frame loss indicator and an interruption time indicator; obtain the wireless transmission test index through the transmission performance index, the audio quality index and the reference weight.

[0011] Furthermore, the specific process of evaluating whether the wireless transmission capability of the Bluetooth microphone sample to be tested is qualified is as follows: obtain a wireless transmission test threshold from a preset database, and the wireless transmission test threshold is used to determine whether the wireless transmission capability of the Bluetooth microphone sample to be tested is qualified; determine the numerical relationship between the wireless transmission test index and the wireless transmission test threshold: if the wireless transmission test index is not less than the wireless transmission test threshold, it indicates that the wireless transmission capability of the Bluetooth microphone sample to be tested is qualified; if the wireless transmission test index is less than the wireless transmission test threshold, it indicates that the wireless transmission capability of the Bluetooth microphone sample to be tested is unqualified, and the testing staff is prompted to recall all Bluetooth microphones corresponding to the batch of Bluetooth microphones to be tested for inspection.

[0012] Furthermore, the specific acquisition process of the repair shunt coefficient is as follows: obtain reference appearance data from a preset database, the reference appearance data including the maximum value of the scratch area, the maximum value of the shell gap width and the maximum value of the cavity assembly tolerance; perform data preprocessing on the opening shape deviation, the opening position deviation and the shell deformation deviation, and the data preprocessing is used to unify the data dimension; judge whether the scratch area, the shell gap width and the cavity assembly tolerance meet the repair judgment conditions, if the repair judgment conditions are met, obtain the wireless transmission test data to obtain the transmission performance index and the audio quality index, and combine the acoustic component quality data and the corresponding reference appearance data to obtain the repair shunt coefficient, otherwise the repair shunt coefficient is recorded as 0; the repair judgment condition is that the scratch area, the shell gap width and the cavity assembly tolerance are not greater than the corresponding reference appearance data.

[0013] Furthermore, the specific limiting expression of the repair split coefficient is as follows: ; In the formula, n represents the number of the Bluetooth microphone sample to be tested, , Indicates the total number of Bluetooth microphone samples to be tested. represents the scratch area of ​​the nth Bluetooth microphone sample to be tested, Indicates the opening shape deviation of the nth Bluetooth microphone sample to be tested, Indicates the opening position deviation of the nth Bluetooth microphone sample to be tested, Indicates the shell gap width of the nth Bluetooth microphone sample to be tested, Indicates the shell deformation deviation of the nth Bluetooth microphone sample to be tested, represents the cavity assembly tolerance of the nth Bluetooth microphone sample to be tested, It represents the transmission performance index of the nth Bluetooth microphone sample to be tested. Indicates the audio quality index of the nth Bluetooth microphone sample to be tested (assuming it is not 0), represents the maximum scratch area, Indicates the maximum width of the shell gap, Indicates the maximum tolerance of the cavity assembly, Indicates the repair split coefficient of the nth Bluetooth microphone sample to be tested.

[0014] Furthermore, the specific process of classifying the repair levels of the Bluetooth microphone samples to be tested that fail the wireless transmission capability test according to the repair diversion coefficient is as follows: a repair level division threshold is obtained from a preset database and compared with the repair diversion coefficient: if the repair diversion coefficient is not less than the repair level division threshold, the repair level of the Bluetooth microphone sample to be tested is recorded as level one repair, and the level one repair means that the Bluetooth microphone to be tested is diverted to a repair production line for inspection and repair; if the repair diversion coefficient is less than the repair level division threshold, the repair level of the Bluetooth microphone sample to be tested is recorded as level two repair, and the level two repair means that the Bluetooth microphone to be tested is diverted to a scrap production line for scrapping; the repair levels include level one repair and level two repair.

[0015] Furthermore, the specific restrictive expression of the audio quality evaluation index is as follows: obtain the audio quality data of the repaired Bluetooth microphone sample to be tested and obtain the corresponding audio quality index, which is recorded as the sub-audio quality index; determine the numerical relationship between the audio quality index and the sub-audio quality index to obtain a repair mark value, if the sub-audio quality index is greater than the audio quality index, then record the repair mark value as 1, otherwise record the repair mark value as 0; when the repair mark value is 1, obtain the audio quality index of the Bluetooth microphone sample to be tested before repair, and obtain the corresponding audio quality evaluation index based on the sub-audio quality index, the audio quality index and the repair data.

[0016] Furthermore, the specific steps for determining whether to scrap the Bluetooth microphone are as follows: Step 1, when the repair mark value is 0, the testing staff is prompted to scrap the Bluetooth microphone to be tested, and recall adjacent batches of Bluetooth microphones for testing, otherwise execute step 2; Step 2, obtain the repair evaluation value from the preset database, and compare it with the audio quality evaluation index. If the audio quality evaluation index is not less than the repair evaluation value, the Bluetooth microphone to be tested is transmitted to the original production line, otherwise execute step 3; Step 3, isolate all Bluetooth microphones in the batch corresponding to the Bluetooth microphone sample to be tested and split them.

[0017] The embodiment of the present application provides a Bluetooth microphone acoustic test device, including a wireless transmission test module, a repair shunt module and an audio quality assessment module: wherein the wireless transmission test module is used to obtain wireless transmission test data of a Bluetooth microphone sample to be tested through a measuring tool, and obtain a wireless transmission test index based on the wireless transmission test data, wherein the wireless transmission test data includes transmission performance data and audio quality data, and the wireless transmission test index is used to evaluate whether the wireless transmission capability of the Bluetooth microphone sample to be tested is qualified; the repair shunt module is used to obtain a repair shunt coefficient based on the acquired acoustic component quality data and the wireless transmission test data if the wireless transmission capability of the Bluetooth microphone sample to be tested is unqualified, and to classify the Bluetooth microphone sample to be tested with unqualified wireless transmission capability into repair grades according to the repair shunt coefficient, and the repair shunt coefficient is used to judge the degree of necessity of repairing the Bluetooth microphone; the audio quality assessment module is used to obtain an audio quality assessment index through the audio quality data of the Bluetooth microphone sample to be tested after repair, the audio quality data before repair and the repair data to judge whether to scrap the sample, and the audio quality assessment index is used to quantify the degree of influence of the repair on the audio quality of the Bluetooth microphone.

[0018] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. A wireless transmission test index is obtained through wireless transmission test data. If the wireless transmission capability of the Bluetooth microphone sample to be tested is unqualified, a repair shunt coefficient is obtained based on the acquired acoustic component quality data and wireless transmission test data, and the Bluetooth microphone samples to be tested with unqualified wireless transmission capability are divided into repair levels according to the repair shunt coefficient. Finally, the audio quality evaluation index is used to determine whether to scrap the sample, thereby more accurately performing a wireless transmission test on the Bluetooth microphone, thereby improving the reliability of the Bluetooth microphone acoustic test, and effectively solving the problem of low correlation between the Bluetooth microphone acoustic test and the wireless transmission test in the prior art.

[0019] 2. By obtaining reference appearance data from a preset database, data preprocessing is performed on the hole shape deviation, hole position deviation and shell deformation deviation, and it is determined whether the scratch area, shell gap width and cavity assembly tolerance meet the repair judgment conditions. If the repair judgment conditions are met, the wireless transmission test data is obtained to obtain the transmission performance index and audio quality index, and then the repair shunt coefficient is obtained by combining the acoustic component quality data and the corresponding reference appearance data, so as to more accurately determine whether the Bluetooth microphone has the repair conditions, thereby improving the repair rate of the Bluetooth microphone.

[0020] 3. The repair mark value is obtained by judging the numerical relationship between the audio quality index and the sub-audio quality index. When the repair mark value is 1, the audio quality index of the tested Bluetooth microphone sample before repair is obtained, and the corresponding audio quality evaluation index is obtained based on the sub-audio quality index, the audio quality index and the repair data, so as to more accurately evaluate the repair quality of the repaired Bluetooth microphone, thereby improving the quality of the Bluetooth microphone. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A flow chart of a Bluetooth microphone acoustic testing method provided in an embodiment of the present application; Figure 2 A schematic diagram of the audio quality evaluation index changing with the audio quality index is provided for the embodiment of the present application; Figure 3 A schematic diagram of the audio quality evaluation index provided in an embodiment of the present application changing with the repair time; Figure 4 A schematic diagram of the audio quality evaluation index provided in an embodiment of the present application changing with the number of replaced parts; Figure 5 A schematic diagram of the audio quality evaluation index provided in an embodiment of the present application varying with the duration of fault location. DETAILED DESCRIPTION

[0022] The embodiment of the present application solves the problem of low correlation between Bluetooth microphone acoustic testing and wireless transmission testing in the prior art by providing a Bluetooth microphone acoustic testing method and device. A wireless transmission test index is obtained through wireless transmission test data. If the wireless transmission capability of the Bluetooth microphone sample to be tested is unqualified, reference appearance data is obtained from a preset database, and data preprocessing is performed on the hole shape deviation, hole position deviation and shell deformation deviation, and it is determined whether the scratch area, shell gap width and cavity assembly tolerance meet the repair judgment conditions. If the repair judgment conditions are met, the wireless transmission test data is obtained to obtain the transmission performance index and the audio quality index, and then the repair shunt coefficient is obtained by combining the acoustic component quality data and the corresponding reference appearance data. Otherwise, the repair shunt coefficient is recorded as 0, and then Then, the repair level of the Bluetooth microphone samples to be tested that fail the wireless transmission capability test is divided according to the repair diversion coefficient. Finally, the audio quality data of the repaired Bluetooth microphone sample to be tested is obtained and the corresponding audio quality index is obtained, which is recorded as the sub-audio quality index. Then, the numerical relationship between the audio quality index and the sub-audio quality index is determined to obtain the repair mark value. If the sub-audio quality index is greater than the audio quality index, the repair mark value is recorded as 1, otherwise the repair mark value is recorded as 0. When the repair mark value is 1, the audio quality index of the Bluetooth microphone sample to be tested before repair is obtained, and the corresponding audio quality evaluation index is obtained based on the sub-audio quality index, the audio quality index and the repair data to determine whether to scrap the Bluetooth microphone, thereby improving the reliability of the acoustic test of the Bluetooth microphone.

[0023] The technical solution in the embodiment of the present application is to solve the problem of low correlation between the above-mentioned Bluetooth microphone acoustic test and the wireless transmission test. The overall idea is as follows: The wireless transmission test index is obtained through the wireless transmission test data. If the wireless transmission capability of the Bluetooth microphone sample to be tested is unqualified, the repair shunt coefficient is obtained based on the acquired acoustic component quality data and the wireless transmission test data. The Bluetooth microphone samples to be tested with unqualified wireless transmission capability are divided into repair levels according to the repair shunt coefficient. Finally, the audio quality evaluation index is used to determine whether to scrap them, thereby achieving the effect of improving the reliability of Bluetooth microphone acoustic testing.

[0024] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0025] like Figure 1As shown, it is a flow chart of a Bluetooth microphone acoustic test method provided in an embodiment of the present application, the method is applied to a Bluetooth microphone acoustic test device, the method comprises the following steps: obtaining wireless transmission test data of a Bluetooth microphone sample to be tested by a measuring tool, and obtaining a wireless transmission test index based on the wireless transmission test data, the wireless transmission test data comprising transmission performance data and audio quality data, the wireless transmission test index being used to evaluate whether the wireless transmission capability of the Bluetooth microphone sample to be tested is qualified; if the wireless transmission capability of the Bluetooth microphone sample to be tested is unqualified, obtaining a repair shunt coefficient based on the obtained acoustic component quality data and the wireless transmission test data, and dividing the Bluetooth microphone samples to be tested with unqualified wireless transmission capability into repair grades according to the repair shunt coefficient, the repair shunt coefficient being used to judge the degree of necessity for repairing the Bluetooth microphone; obtaining an audio quality evaluation index by comparing the audio quality data of the repaired Bluetooth microphone sample to be tested with the audio quality data before repair and the repair data to judge whether to scrap the sample, the audio quality evaluation index being used to quantify the degree of influence of the repair on the audio quality of the Bluetooth microphone.

[0026] In this embodiment, the Bluetooth microphone samples to be tested are selected by a random sampling method, and only one sample is selected from each production batch of Bluetooth microphones, and the environment for the wireless transmission test is an anechoic chamber; the measuring tools include but are not limited to a Bluetooth protocol analyzer, a signal analyzer and a Bluetooth data analysis software, and the analysis of the wireless transmission test data, audio quality data, acoustic component quality data and repair data helps to more accurately analyze the wireless transmission test of the Bluetooth microphone, thereby improving the correlation between the acoustic test and the wireless transmission test, and further improving the reliability of the acoustic test of the Bluetooth microphone.

[0027] It needs to be explained that the transmission performance data includes the average signal delay, delay peak, average jitter value, jitter variance, total packet loss rate, number of consecutive packet loss occurrences, data packet retransmission rate, average number of retransmissions, channel utilization and channel interference rate; the number of consecutive packet loss occurrences indicates the number of times that more than one data packet fails to continue to be successfully transmitted or received during the data transmission process; the audio quality data includes waveform signal deviation, short-time target signal-to-noise ratio, audio frame loss rate, continuous frame loss duration, number of audio interruptions and average interruption time; the short-time target signal-to-noise ratio indicates the ratio between the signal and noise measured within a preset short time interval; the continuous frame loss duration indicates the duration of the phenomenon of more than one frame loss; the acoustic component quality data includes scratch area, opening shape deviation, opening position deviation, shell gap width, shell deformation deviation and cavity assembly tolerance; the repair data includes repair time, number of replaced parts and fault location time.

[0028] Among them, the preset short time interval is usually set to 5ms, the signal average delay and delay peak are obtained through Bluetooth protocol analysis tools (such as Ellisys Bluetooth Tracker), the jitter value is obtained through a Bluetooth protocol analyzer, and the obtained jitter value is respectively subjected to mean operation and variance operation to obtain the average jitter value and jitter variance, the Bluetooth HCI data packet is captured through the Bluetooth interface, the total packet loss rate represents the number of data packets lost and the number of consecutive packet losses during the transmission process, the data packet retransmission rate and the average number of retransmissions are obtained through the retransmission rate data provided by the Bluetooth protocol analyzer, and the channel utilization rate and channel interference rate are obtained by measuring the signal strength and signal-to-noise ratio through a signal analyzer (such as Keysight UXM Wireless Test Set).

[0029] The waveform signal deviation and short-time target signal-to-noise ratio can be obtained by analyzing with MATLAB or Python in conjunction with an audio analysis library (such as librosa or pyaudio). The audio frame sequence number can be monitored and statistically analyzed with Bluetooth data analysis software to obtain the audio frame loss rate and continuous frame loss duration. The time interval of the waveform can be analyzed with MATLAB or Python to obtain the number of audio interruptions and the average interruption time.

[0030] Use a high-resolution camera or microscope to photograph the surface of the shell, and cooperate with image algorithms (such as Canny edge detection, Otsu threshold segmentation algorithm, connected domain analysis algorithm, and contour detection and area calculation algorithm) to detect the scratch area, use a 3D profilometer to measure the hole shape deviation, use an optical measuring instrument to measure the hole position deviation, use a contact probe to detect the shell gap width, use a three-dimensional scanner to detect the deviation between the shell shape and the Bluetooth microphone design drawing to obtain the shell deformation deviation, and use a caliper to measure the cavity assembly tolerance; obtain the repair time, number of parts replaced and fault location time through the maintenance log.

[0031] Furthermore, the specific method for obtaining the wireless transmission test index is as follows: number the Bluetooth microphone samples to be tested, and obtain reference test data from a preset database, the reference test data including reference transmission data and reference quality data, the reference transmission data including the maximum delay value, the minimum delay value and the maximum jitter value, and the reference quality data including the maximum continuous frame loss duration and the maximum interruption time; obtain reference weights from the preset database, the reference weights including transmission weights and quality weights; obtain transmission performance indicators based on the average signal delay, the delay peak value and the average jitter value and the corresponding reference transmission data, and obtain the transmission performance index (i.e. ), transmission performance indicators include average delay indicators (i.e. ), latency peak indicator (i.e. ) and jitter indicators (i.e. ); Based on the continuous frame loss duration and the average interruption time and the corresponding reference quality data, the audio quality index is obtained, and based on the audio quality index and the audio quality data, the audio quality index (i.e. ), audio quality indicators include frame loss indicators (i.e. ) and the interruption time indicator (i.e. ); The wireless transmission test index is obtained through the transmission performance index, audio quality index and reference weight.

[0032] The specific limiting expression of the wireless transmission test index is as follows: ; ; ; ; ; ; ; ; In the formula, n represents the number of the Bluetooth microphone sample to be tested, , Indicates the total number of Bluetooth microphone samples to be tested. Indicates the average signal delay of the nth Bluetooth microphone sample to be tested, Indicates the peak delay of the nth Bluetooth microphone sample to be tested, Indicates the average jitter value of the nth Bluetooth microphone sample to be tested, represents the jitter variance of the nth Bluetooth microphone sample to be tested, Indicates the total packet loss rate of the nth Bluetooth microphone sample to be tested, Indicates the number of consecutive packet losses of the nth Bluetooth microphone sample to be tested. Indicates the packet retransmission rate of the nth Bluetooth microphone sample to be tested, Indicates the average number of retransmissions of the nth Bluetooth microphone sample to be tested, Indicates the channel utilization of the nth Bluetooth microphone sample to be tested, Indicates the channel interference rate of the nth Bluetooth microphone sample to be tested, Indicates the maximum delay value, Indicates the minimum delay value, Indicates the maximum jitter value. Indicates the waveform signal deviation of the nth Bluetooth microphone sample to be tested, represents the short-term target signal-to-noise ratio of the nth Bluetooth microphone sample to be tested, Indicates the audio frame loss rate of the nth Bluetooth microphone sample to be tested. Indicates the continuous frame loss duration of the nth Bluetooth microphone sample to be tested. Indicates the number of audio interruptions of the nth Bluetooth microphone sample to be tested. represents the average interruption time of the nth Bluetooth microphone sample to be tested, Indicates the maximum duration of continuous frame loss. Indicates the maximum interruption time. represents the transmission weight, represents the quality weight, It represents the transmission performance index of the nth Bluetooth microphone sample to be tested. Indicates the audio quality index of the nth Bluetooth microphone sample to be tested, Represents the average delay index of the nth Bluetooth microphone sample to be tested. Indicates the peak latency indicator of the nth Bluetooth microphone sample to be tested. Indicates the jitter index of the nth Bluetooth microphone sample to be tested. Indicates the frame loss index of the nth Bluetooth microphone sample to be tested. Indicates the interruption time indicator of the nth Bluetooth microphone sample to be tested. represents the wireless transmission test index of the nth Bluetooth microphone sample to be tested, and e represents a natural constant.

[0033] In this embodiment, the algorithm combines the transmission performance index, the audio quality index and the reference weight for comprehensive analysis to obtain the wireless transmission test index, wherein the transmission performance index and the audio quality index are both positively correlated with the wireless transmission test index, and the transmission performance index decreases with the increase of the average delay index, the delay peak index, the jitter index, the jitter variance, the total packet loss rate, the number of consecutive packet loss occurrences, the data packet retransmission rate, the average number of retransmissions, the channel utilization rate and the channel interference rate; the average delay index increases as the average signal delay deviates more from the maximum delay value or the minimum delay value; the delay peak index increases as the delay peak value is greater than the maximum delay value; and the jitter index increases as the average jitter value increases. The audio quality index increases with the maximum jitter value; the audio quality index decreases with the increase of the frame loss index, interruption time index, waveform signal deviation, audio frame loss rate and audio interruption times, but increases with the increase of the short-time target signal-to-noise ratio, among which, as the continuous frame loss duration is greater than the maximum continuous frame loss duration and as the average interruption time is greater than the maximum interruption time, the corresponding frame loss index and interruption time index also increase accordingly; when the wireless transmission test index is larger, it means that the wireless transmission capability of the Bluetooth microphone sample to be tested is better, and the transmitted audio quality is higher; by testing the wireless transmission capability of the Bluetooth microphone to be tested, it is helpful to improve the reliability of the wireless transmission capability of the Bluetooth microphone.

[0034] Specifically, the parameters involved in the processing of the wireless transmission test index in this algorithm are interrelated and do not exist independently. Among them, a higher delay peak value usually leads to an increase in the average delay. If the network suddenly experiences network congestion or packet loss, the delay peak value will increase significantly, thereby affecting the average delay of the signal. That is, the delay peak value usually affects the average delay, but the average delay does not directly reflect all delay peak values; a high jitter variance usually indicates that the signal delay is unstable, which may lead to a higher average jitter value. The two are interrelated, but the jitter variance can provide more specific information than the average jitter, revealing the degree of delay fluctuation; a higher packet loss rate usually leads to a high retransmission rate and a longer delay. (including average signal delay and delay peak), and may cause more continuous packet loss, thus affecting network performance. Channel interference rate and channel utilization affect each other. High interference leads to low utilization. Retransmission rate and delay are usually positively correlated because retransmission takes more time. When waveform deviation increases, noise or distortion increases, signal-to-noise ratio decreases, and frame loss causes incomplete audio signal, which is manifested as interruption or increased deviation of waveform signal. Higher frame loss rate is usually accompanied by longer continuous frame loss duration. High audio frame loss rate is usually the direct cause of audio interruption. Higher frame loss rate leads to more frequent audio data loss and more frequent interruption or discontinuity during playback.

[0035] Specifically, the reference test data is obtained from a preset database. In a specific embodiment, the reference test data is obtained according to the specific production requirements of the Bluetooth microphone to be tested. For example, if the reference range of the average signal delay of the Bluetooth microphone is specified in the specific production requirements as 100ms to 300ms, the maximum delay value is 300ms and the minimum delay value is 100ms. Similarly, the maximum jitter value, the maximum continuous frame loss duration, and the maximum interruption time are set according to the specific production requirements.

[0036] Specifically, the transmission weight is assigned according to the transmission performance index in the preset database, which quantifies the degree of influence of the transmission performance index on the wireless transmission test index. In actual application, the weight value corresponding to the specific transmission performance index is directly retrieved from the preset database. This correspondence is a predefined mapping relationship. For example, a mapping set is established by combining the transmission performance index of the Bluetooth microphone to be tested with the weight value corresponding to the wireless transmission test index preset in the preset database. When the weight needs to be determined, the real-time transmission performance index only needs to be input into this mapping set to obtain the corresponding weight value. It is worth noting that the mapping relationship here is one-to-one, that is, each transmission performance index uniquely corresponds to a weight value. In this example, the value range of the transmission weight is limited to between 0 and 1; in this example, the sum of the transmission weight and the quality weight is 1.

[0037] Furthermore, the specific process of evaluating whether the wireless transmission capability of the Bluetooth microphone sample to be tested is qualified is as follows: obtain the wireless transmission test threshold from the preset database, and the wireless transmission test threshold is used to determine whether the wireless transmission capability of the Bluetooth microphone sample to be tested is qualified; determine the numerical relationship between the wireless transmission test index and the wireless transmission test threshold: if the wireless transmission test index is not less than the wireless transmission test threshold, it indicates that the wireless transmission capability of the Bluetooth microphone sample to be tested is qualified; if the wireless transmission test index is less than the wireless transmission test threshold, it indicates that the wireless transmission capability of the Bluetooth microphone sample to be tested is unqualified, and the testing staff is prompted to recall all Bluetooth microphones corresponding to the batch of Bluetooth microphones to be tested for inspection.

[0038] In this embodiment, by promptly recalling and testing Bluetooth microphones that may not have qualified wireless transmission capabilities, it is helpful to discover potential batch problems, prevent the problems from escalating, and ensure the quality of the product. At the same time, by setting clear wireless transmission test thresholds, a unified standard is provided for the evaluation work, ensuring the objectivity and consistency of the evaluation process.

[0039] Specifically, the wireless transmission test threshold is obtained from a preset database. In a specific embodiment, the corresponding data set is obtained by substituting the wireless transmission test data of the Bluetooth microphone that failed the acoustic test in the historical data into the specific restriction expression of the wireless transmission test index, and the wireless transmission test threshold is obtained by performing a mean operation on the data set.

[0040] Furthermore, the specific process of obtaining the repair shunt coefficient is as follows: obtain reference appearance data from a preset database, the reference appearance data including the maximum scratch area, the maximum shell gap width and the maximum cavity assembly tolerance; perform data preprocessing on the opening shape deviation, the opening position deviation and the shell deformation deviation, and the data preprocessing is used to unify the data dimension; determine whether the scratch area, the shell gap width and the cavity assembly tolerance meet the repair judgment conditions, if the repair judgment conditions are met, obtain the wireless transmission test data to obtain the transmission performance index and the audio quality index, and combine the acoustic component quality data and the corresponding reference appearance data to obtain the repair shunt coefficient, otherwise the repair shunt coefficient is recorded as 0; the repair judgment condition is that the scratch area, the shell gap width and the cavity assembly tolerance are not greater than the corresponding reference appearance data.

[0041] The specific limiting expression for repairing the split flow coefficient is as follows: ; In the formula, n represents the number of the Bluetooth microphone sample to be tested, , Indicates the total number of Bluetooth microphone samples to be tested. represents the scratch area of ​​the nth Bluetooth microphone sample to be tested, Indicates the opening shape deviation of the nth Bluetooth microphone sample to be tested, Indicates the opening position deviation of the nth Bluetooth microphone sample to be tested, Indicates the shell gap width of the nth Bluetooth microphone sample to be tested, Indicates the shell deformation deviation of the nth Bluetooth microphone sample to be tested, represents the cavity assembly tolerance of the nth Bluetooth microphone sample to be tested, It represents the transmission performance index of the nth Bluetooth microphone sample to be tested. Indicates the audio quality index of the nth Bluetooth microphone sample to be tested (assuming it is not 0), represents the maximum scratch area, Indicates the maximum width of the shell gap, Indicates the maximum tolerance of the cavity assembly, Indicates the repair split coefficient of the nth Bluetooth microphone sample to be tested.

[0042] In this embodiment, the algorithm combines the transmission performance index, the audio quality index, the acoustic component quality data and the corresponding reference appearance data for comprehensive analysis to obtain the repair shunt coefficient, wherein the repair shunt coefficient is positively correlated with the transmission performance index, negatively correlated with the audio quality index, and negatively correlated with the hole shape deviation, the hole position deviation and the shell deformation deviation. As the hole shape deviation, the hole position deviation and the shell deformation deviation increase, the corresponding repair shunt coefficient decreases instead. However, as the scratch area, the shell gap width and the cavity assembly tolerance are smaller than the corresponding maximum scratch area, the maximum shell gap width and the maximum cavity assembly tolerance, the repair shunt coefficient increases accordingly, indicating that the smaller the scratch area, the shell gap width and the cavity assembly tolerance, the higher the appearance quality of the corresponding Bluetooth microphone, and therefore the corresponding larger the repair shunt coefficient. Analysis of the repair shunt coefficient helps to more accurately evaluate the repair value of the Bluetooth microphone sample to be tested, thereby reducing the scrap rate of the Bluetooth microphone to be tested and improving the production efficiency of the Bluetooth microphone.

[0043] Specifically, the parameters involved in the processing of repairing the shunt coefficient in this algorithm are interrelated and do not exist independently. Among them, the shape and position deviation of the opening may be caused by mold processing errors or cavity assembly deviations. If the cavity assembly error is larger, it may cause the shell to deform and affect the alignment accuracy of the opening; if the tolerance is not well controlled during the assembly process, it will cause uneven seams in the shell, causing changes and deformation of the gap width. Too large a gap width may cause cavity leakage and affect the acoustic performance (such as low-frequency loss and increased total harmonic distortion). If the assembly is not tight, it will cause acoustic cavity leakage and indirectly affect the sound transmittance and sound wave propagation of the mesh. At the same time, if the opening shape is irregular or the position is offset, it will affect the sound transmittance and pickup angle, resulting in an abnormal frequency response curve. Therefore, consideration of relevant parameters of acoustic components is also necessary in acoustic testing.

[0044] Specifically, the reference appearance data is obtained from a preset database. In a specific embodiment, the reference appearance data is obtained according to the specific production requirements of the Bluetooth microphone to be tested. For example, if the specific production requirements specify that the scratch area of ​​the Bluetooth microphone cannot exceed 0.3 cm², then the maximum scratch area is 0.3 cm². Similarly, the maximum shell gap width and the maximum cavity assembly tolerance are set according to the specific production requirements.

[0045] Furthermore, the specific process of classifying the repair levels of the Bluetooth microphone samples to be tested that fail the wireless transmission capability test according to the repair diversion coefficient is as follows: the repair level division threshold is obtained from the preset database and compared with the repair diversion coefficient: if the repair diversion coefficient is not less than the repair level division threshold, the repair level of the Bluetooth microphone sample to be tested is recorded as level one repair, and level one repair means that the Bluetooth microphone to be tested is diverted to the repair production line for inspection and repair; if the repair diversion coefficient is less than the repair level division threshold, the repair level of the Bluetooth microphone sample to be tested is recorded as level two repair, and level two repair means that the Bluetooth microphone to be tested is diverted to the scrap production line for scrapping; repair levels include level one repair and level two repair.

[0046] In this embodiment, a preset repair level division threshold is compared with the repair diversion coefficient to provide a clear quantitative basis for the division of repair levels, and the Bluetooth microphone samples with a repair level of level two are directly scrapped, avoiding unnecessary repair attempts and cost waste; and after the first-level repaired Bluetooth microphone samples to be tested enter the repair production line, resources can be concentrated to carry out professional inspection and repair of them. This targeted processing method helps to improve repair efficiency and shorten the repair cycle.

[0047] Specifically, the repair level division threshold is obtained from a preset database. In a specific embodiment, the corresponding data set is obtained by substituting the wireless transmission test data and acoustic component quality data of the Bluetooth microphone that failed the acoustic test in the historical data into the specific restriction expression of the repair shunt coefficient, and the repair level division threshold is obtained by performing a mean operation on the data set.

[0048] Furthermore, the specific limiting expression of the audio quality evaluation index is as follows: obtain the audio quality data of the repaired Bluetooth microphone sample to be tested and obtain the corresponding audio quality index, which is recorded as the sub-audio quality index; determine the numerical relationship between the audio quality index and the sub-audio quality index to obtain the repair mark value, if the sub-audio quality index is greater than the audio quality index, then record the repair mark value as 1, otherwise record the repair mark value as 0; when the repair mark value is 1, obtain the audio quality index of the Bluetooth microphone sample to be tested before repair, and obtain the corresponding audio quality evaluation index based on the sub-audio quality index, the audio quality index and the repair data. The specific limiting expression of the audio quality evaluation index is as follows: ; In the formula, n represents the number of the Bluetooth microphone sample to be tested, , Indicates the total number of Bluetooth microphone samples to be tested. Indicates the audio quality index of the nth Bluetooth microphone sample to be tested, Indicates the sub-audio quality index of the nth Bluetooth microphone sample to be tested, Indicates the repair time of the nth Bluetooth microphone sample to be tested. Indicates the number of replacement parts for the nth Bluetooth microphone sample to be tested, Indicates the fault location time of the nth Bluetooth microphone sample to be tested. Indicates the audio quality evaluation index of the nth Bluetooth microphone sample to be tested.

[0049] In this embodiment, the algorithm combines the sub-audio quality index, the audio quality index and the repair data for comprehensive analysis to obtain the audio quality evaluation index. In the formula, when the sub-audio quality index remains unchanged, as the audio quality index increases, the audio quality evaluation index decreases accordingly. When the repair time, the number of replaced parts and the fault location time increase, the corresponding audio quality evaluation index also decreases accordingly. It can be seen that the audio quality index, the repair time, the number of replaced parts and the fault location time are all negatively correlated with the audio quality evaluation index. Assuming that the sub-audio quality index is 0.8, the data change table of the audio quality evaluation index can be obtained, as shown in Table 1: Table 1 Data changes of audio quality evaluation index It can be seen from Table 1 that as the audio quality index, repair time, number of parts replaced and fault location time increase, the corresponding audio quality evaluation index decreases accordingly, indicating that the audio quality index, repair time, number of parts replaced and fault location time are negatively correlated with the audio quality evaluation index. For example, when the audio quality index increases from 0.5 in the first row to 0.9 in the fifth row, the repair time increases from 5 in the first row to 15 in the fifth row, the number of parts replaced increases from 0 in the first row to 3 in the fifth row, and the fault location time increases from 2 in the first row to 10 in the fifth row, the corresponding audio quality evaluation index decreases from 1.42 in the first row to 0.92 in the fifth row, which further proves the negative correlation between the audio quality index, repair data and the audio quality evaluation index. Through the analysis of Table 1, it is more clearly shown that with the change of the audio quality index and repair data, the corresponding audio quality evaluation index has a changing trend, which is helpful to more accurately analyze the audio quality evaluation index, thereby improving the accuracy of the repair quality evaluation of the Bluetooth microphone.

[0050] Specifically, assuming that the sub-audio quality index is 0.5, Figure 2 As shown, a schematic diagram of the audio quality evaluation index changing with the audio quality index is provided for an embodiment of the present application. When the repair time is 5 minutes, the number of parts replaced is 3, and the fault location time is 5 minutes, as the audio quality index increases, the image shows a downward trend, indicating that the audio quality index is negatively correlated with the audio quality evaluation index.

[0051] like Figure 3 As shown, it is a schematic diagram of the audio quality evaluation index provided in an embodiment of the present application changing with the repair time. When the audio quality index is 0.5, the number of parts replaced is 3, and the fault location time is 5 minutes, as the repair time increases, the image shows a downward trend, indicating that the repair time is negatively correlated with the audio quality evaluation index.

[0052] like Figure 4 As shown, it is a schematic diagram of the audio quality evaluation index provided in the embodiment of the present application changing with the number of replaced parts. When the audio quality index is 0.5, the repair time is 5 minutes, and the fault location time is 5 minutes, as the number of replaced parts increases, the image shows a downward trend, indicating that the number of replaced parts is negatively correlated with the audio quality evaluation index.

[0053] like Figure 5 As shown, it is a schematic diagram of the audio quality evaluation index provided in the embodiment of the present application changing with the fault location time. When the audio quality index is 0.5, the repair time is 5 minutes and the number of parts replaced is 3, as the fault location time increases, the image shows a downward trend, indicating that the fault location time is negatively correlated with the audio quality evaluation index.

[0054] Through the above analysis, it is more intuitively demonstrated that the audio quality index, repair time, number of replaced parts and fault location time are all negatively correlated with the audio quality evaluation index. The larger the audio quality evaluation index is, the better the repair of the Bluetooth microphone to be tested is, which helps to improve the reliability of the Bluetooth microphone acoustic test.

[0055] Specifically, the parameters involved in the processing of the audio quality evaluation index in this algorithm are interrelated and do not exist independently. Among them, fault location is the prerequisite for repair. If the location time is long, it usually means that the cause of the fault is complicated or the troubleshooting means are insufficient, which will delay the overall repair time. The more parts that need to be replaced, the longer the repair time is usually. If the fault location is difficult, it may involve the troubleshooting of multiple parts, thereby increasing the number of parts to be replaced. When the positioning accuracy is low, technicians may replace multiple parts to troubleshoot the fault, resulting in increased parts consumption.

[0056] Furthermore, the specific steps for determining whether to scrap the Bluetooth microphone are as follows: Step 1, when the repair mark value is 0, the testing staff is prompted to scrap the Bluetooth microphone to be tested, and recall the Bluetooth microphones in adjacent batches (i.e., the previous batch and the next batch) for testing, otherwise execute step 2; Step 2, obtain the repair evaluation value from the preset database, and compare it with the audio quality evaluation index. If the audio quality evaluation index is not less than the repair evaluation value, the Bluetooth microphone to be tested is transmitted to the original production line, and the original production line represents the production line of the Bluetooth microphone, otherwise execute step 3; Step 3, isolate all Bluetooth microphones in the corresponding batch of the Bluetooth microphone sample to be tested and perform split processing, and the split processing means splitting the Bluetooth microphones in the corresponding batch of the Bluetooth microphone to be tested into parts to recover reusable parts in the production process of the Bluetooth microphone.

[0057] In this embodiment, by judging the repair mark value, Bluetooth microphones that cannot be repaired or have too high a repair cost can be quickly identified and scrapped in a timely manner, and adjacent batches of Bluetooth microphones can be recalled for testing, which helps to discover potential batch problems and prevent the problems from expanding. At the same time, the scrapped Bluetooth microphones can be disassembled and reusable parts can be recycled, which helps to reduce production costs and improve resource utilization efficiency.

[0058] Specifically, the repair evaluation value is obtained from a preset database. In a specific embodiment, the corresponding data set is obtained by substituting the audio quality data and repair data of the Bluetooth microphone that failed the acoustic test in the historical data into the specific restriction expression of the audio quality evaluation index, and the repair evaluation value is obtained by performing a mean operation on the data set.

[0059] The embodiment of the present application provides a Bluetooth microphone acoustic test device, including a wireless transmission test module, a repair shunt module and an audio quality evaluation module: wherein the wireless transmission test module is used to obtain wireless transmission test data of a Bluetooth microphone sample to be tested through a measuring tool, and obtain a wireless transmission test index based on the wireless transmission test data, the wireless transmission test data including transmission performance data and audio quality data, and the wireless transmission test index is used to evaluate whether the wireless transmission capability of the Bluetooth microphone sample to be tested is qualified; the repair shunt module is used to obtain a repair shunt coefficient based on the acquired acoustic component quality data and the wireless transmission test data if the wireless transmission capability of the Bluetooth microphone sample to be tested is unqualified, and to classify the Bluetooth microphone samples to be tested with unqualified wireless transmission capability into repair grades according to the repair shunt coefficient, and the repair shunt coefficient is used to judge the degree of necessity of repairing the Bluetooth microphone; the audio quality evaluation module is used to obtain an audio quality evaluation index through the audio quality data of the Bluetooth microphone sample to be tested after repair, the audio quality data before repair and the repair data to judge whether to scrap the sample, and the audio quality evaluation index is used to quantify the degree of influence of the repair on the audio quality of the Bluetooth microphone.

[0060] In this embodiment, the Bluetooth microphone acoustic testing device realizes comprehensive, efficient and accurate testing of Bluetooth microphone acoustics by integrating three modules: wireless transmission testing, repair diversion and audio quality evaluation. It not only improves product quality and testing efficiency, but also optimizes resource utilization, reduces production costs, and promotes continuous product improvement and environmental sustainability.

[0061] To summarize, the embodiment of the present application obtains a wireless transmission test index through wireless transmission test data. If the wireless transmission capability of the Bluetooth microphone sample to be tested is unqualified, a repair shunt coefficient is obtained based on the acquired acoustic component quality data and the wireless transmission test data, and the Bluetooth microphone sample to be tested with unqualified wireless transmission capability is classified into repair levels according to the repair shunt coefficient. Finally, the audio quality evaluation index is used to determine whether to scrap the sample, thereby more accurately performing a wireless transmission test on the Bluetooth microphone, thereby improving the reliability of the Bluetooth microphone acoustic test, and effectively solving the problem of low correlation between the Bluetooth microphone acoustic test and the wireless transmission test in the prior art.

[0062] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0063] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0064] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0065] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0066] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0067] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A Bluetooth microphone acoustic test method, characterized in that: The following steps are involved: Acquire wireless transmission test data of the Bluetooth microphone sample to be tested through a measuring tool, and obtain a wireless transmission test index based on the wireless transmission test data, wherein the wireless transmission test data includes transmission performance data and audio quality data, and the wireless transmission test index is used to evaluate whether the wireless transmission capability of the Bluetooth microphone sample to be tested is qualified; If the wireless transmission capability of the Bluetooth microphone sample to be tested is unqualified, a repair shunt coefficient is obtained based on the acquired acoustic component quality data and wireless transmission test data, and the Bluetooth microphone sample to be tested with unqualified wireless transmission capability is classified into a repair level according to the repair shunt coefficient, and the repair shunt coefficient is used to judge the degree of necessity of repairing the Bluetooth microphone; An audio quality evaluation index is obtained by comparing the audio quality data of the repaired Bluetooth microphone sample to be tested with the audio quality data before repair and the repair data to determine whether to scrap it. The audio quality evaluation index is used to quantify the impact of the repair on the audio quality of the Bluetooth microphone.

2. A Bluetooth microphone acoustic testing method as claimed in claim 1, characterized in that: The transmission performance data includes average signal delay, delay peak, average jitter value, jitter variance, total packet loss rate, number of consecutive packet loss occurrences, data packet retransmission rate, average number of retransmissions, channel utilization rate and channel interference rate; The audio quality data includes waveform signal deviation, short-term target signal-to-noise ratio, audio frame loss rate, continuous frame loss duration, audio interruption times and average interruption time; The acoustic component quality data includes scratch area, opening shape deviation, opening position deviation, shell gap width, shell deformation deviation and cavity assembly tolerance; The repair data includes repair time, number of replaced parts and fault location time.

3. A Bluetooth microphone acoustic testing method as claimed in claim 2, characterized in that: The specific method of obtaining the wireless transmission test index is as follows: The Bluetooth microphone samples to be tested are numbered, and reference test data are obtained from a preset database, wherein the reference test data includes reference transmission data and reference quality data, wherein the reference transmission data includes a maximum delay value, a minimum delay value, and a maximum jitter value, and the reference quality data includes a maximum continuous frame loss duration and a maximum interruption time; Acquire reference weights from a preset database, where the reference weights include transmission weights and quality weights; A transmission performance index is obtained by processing the signal average delay, delay peak value and average jitter value with corresponding reference transmission data, and a transmission performance index is obtained based on the transmission performance data and the transmission performance index, wherein the transmission performance index includes an average delay index, a delay peak index and a jitter index; Obtaining an audio quality indicator based on the continuous frame loss duration and the average interruption time and corresponding reference quality data, and obtaining an audio quality index based on the audio quality indicator and the audio quality data, wherein the audio quality indicator includes a frame loss indicator and an interruption time indicator; The wireless transmission test index is obtained by the transmission performance index, audio quality index and reference weight.

4. A Bluetooth microphone acoustic testing method as claimed in claim 3, characterized in that: The specific process of evaluating whether the wireless transmission capability of the Bluetooth microphone sample to be tested is qualified is as follows: Acquire a wireless transmission test threshold from a preset database, where the wireless transmission test threshold is used to determine whether the wireless transmission capability of the Bluetooth microphone sample to be tested is qualified; Determine the numerical relationship between the wireless transmission test index and the wireless transmission test threshold: If the wireless transmission test index is not less than the wireless transmission test threshold, it means that the wireless transmission capability of the Bluetooth microphone sample to be tested is qualified; If the wireless transmission test index is less than the wireless transmission test threshold, it means that the wireless transmission capability of the Bluetooth microphone sample to be tested is unqualified, and the testing staff will be prompted to recall all Bluetooth microphones of the corresponding batch of the Bluetooth microphone to be tested for testing.

5. A Bluetooth microphone acoustic testing method as claimed in claim 2, characterized in that: The specific process of obtaining the repair split coefficient is as follows: Acquire reference appearance data from a preset database, wherein the reference appearance data includes a maximum scratch area, a maximum shell gap width, and a maximum cavity assembly tolerance; Performing data preprocessing on the opening shape deviation, the opening position deviation and the shell deformation deviation, wherein the data preprocessing is used to unify the data dimension; Determine whether the scratch area, shell gap width and cavity assembly tolerance meet the repair judgment conditions. If the repair judgment conditions are met, obtain the wireless transmission test data to obtain the transmission performance index and the audio quality index, and combine the acoustic component quality data and the corresponding reference appearance data to obtain the repair shunt coefficient. Otherwise, record the repair shunt coefficient as 0. The repair judgment condition is that the scratch area, shell gap width and cavity assembly tolerance are not greater than the corresponding reference appearance data.

6. A Bluetooth microphone acoustic testing method as claimed in claim 5, characterized in that: The specific limiting expression of the repair split coefficient is as follows: ； In the formula, n represents the number of the Bluetooth microphone sample to be tested. , Indicates the total number of Bluetooth microphone samples to be tested. represents the scratch area of ​​the nth Bluetooth microphone sample to be tested, Indicates the opening shape deviation of the nth Bluetooth microphone sample to be tested, Indicates the opening position deviation of the nth Bluetooth microphone sample to be tested, Indicates the shell gap width of the nth Bluetooth microphone sample to be tested, Indicates the shell deformation deviation of the nth Bluetooth microphone sample to be tested, represents the cavity assembly tolerance of the nth Bluetooth microphone sample to be tested, It represents the transmission performance index of the nth Bluetooth microphone sample to be tested. Indicates the audio quality index of the nth Bluetooth microphone sample to be tested (assuming it is not 0), represents the maximum scratch area, Indicates the maximum width of the shell gap, Indicates the maximum tolerance of the cavity assembly, Indicates the repair shunt coefficient of the nth Bluetooth microphone sample to be tested.

7. A Bluetooth microphone acoustic testing method as claimed in claim 6, characterized in that: The specific process of classifying the repair levels of the Bluetooth microphone samples to be tested whose wireless transmission capability is unqualified according to the repair split coefficient is as follows: The restoration level division threshold obtained from the preset database is compared with the restoration diversion coefficient: If the repair diversion coefficient is not less than the repair level division threshold, the repair level of the Bluetooth microphone sample to be tested is recorded as level one repair, and the level one repair means that the Bluetooth microphone to be tested is diverted to the repair production line for detection and repair; If the repair diversion coefficient is less than the repair level division threshold, the repair level of the Bluetooth microphone sample to be tested is recorded as level 2 repair, and the level 2 repair means that the Bluetooth microphone to be tested is diverted to the scrap production line for scrapping; The repair levels include primary repair and secondary repair.

8. A Bluetooth microphone acoustic testing method as claimed in claim 2, characterized in that: The specific limiting expression of the audio quality evaluation index is as follows: Acquire the audio quality data of the repaired Bluetooth microphone sample to be tested and obtain the corresponding audio quality index, which is recorded as the sub-audio quality index; Determine the numerical relationship between the audio quality index and the sub-audio quality index to obtain a repair mark value, if the sub-audio quality index is greater than the audio quality index, then the repair mark value is recorded as 1, otherwise the repair mark value is recorded as 0; When the repair mark value is 1, the audio quality index of the Bluetooth microphone sample to be tested before repair is obtained, and the corresponding audio quality evaluation index is obtained based on the secondary audio quality index, the audio quality index and the repair data.

9. A Bluetooth microphone acoustic testing method as claimed in claim 8, characterized in that: The specific steps of determining whether to perform scrapping are as follows: Step 1: When the repair mark value is 0, the test staff is prompted to scrap the Bluetooth microphone to be tested and recall the Bluetooth microphones of adjacent batches for testing, otherwise, execute step 2; Step 2: Obtain the repair evaluation value from the preset database and compare it with the audio quality evaluation index. If the audio quality evaluation index is not less than the repair evaluation value, the Bluetooth microphone to be tested is transmitted to the original production line, otherwise, step 3 is executed; Step three, isolating all the Bluetooth microphones of the batch corresponding to the Bluetooth microphone sample to be tested and performing split processing.

10. A Bluetooth microphone acoustic test device, characterized in that: Including wireless transmission test module, repair and diversion module and audio quality assessment module: The wireless transmission test module is used to obtain the wireless transmission test data of the Bluetooth microphone sample to be tested through a measuring tool, and obtain a wireless transmission test index based on the wireless transmission test data, wherein the wireless transmission test data includes transmission performance data and audio quality data, and the wireless transmission test index is used to evaluate whether the wireless transmission capability of the Bluetooth microphone sample to be tested is qualified; The repair shunt module is used to obtain a repair shunt coefficient based on the acquired acoustic component quality data and wireless transmission test data if the wireless transmission capability of the Bluetooth microphone sample to be tested is unqualified, and to classify the repair level of the Bluetooth microphone sample to be tested with unqualified wireless transmission capability according to the repair shunt coefficient. The repair shunt coefficient is used to judge the degree of necessity of repairing the Bluetooth microphone; The audio quality assessment module is used to obtain an audio quality assessment index through the audio quality data of the repaired Bluetooth microphone sample to be tested, the audio quality data before the repair, and the repair data to determine whether to scrap it. The audio quality assessment index is used to quantify the impact of the repair on the audio quality of the Bluetooth microphone.

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