CN112822623B

CN112822623B - Wireless earphone abnormity detection method and structure

Info

Publication number: CN112822623B
Application number: CN202011639671.4A
Authority: CN
Inventors: 钟长玻; 胡中骥
Original assignee: Cosonic Intelligent Technologies Co Ltd
Current assignee: Cosonic Intelligent Technologies Co Ltd
Priority date: 2020-12-31
Filing date: 2020-12-31
Publication date: 2022-11-18
Anticipated expiration: 2040-12-31
Also published as: CN112822623A

Abstract

The invention provides a wireless earphone abnormity detection method and structure, comprising the following steps: respectively communicating with part of the wireless earphones through four channels A to D and respectively transmitting set audio; collecting audio data which are played by the wireless earphone and correspond to the channels A to D one by one, and respectively drawing a frequency response curve; an audio qualified band of a channel corresponding to the frequency response curve is made by adding a set value Z for ensuring that the frequency response curve is not distorted; the other wireless earphones are operated to obtain a plurality of frequency response curves; and comparing the audio qualified bands of the multiple frequency response curves, if all the frequency response curves are in the corresponding audio qualified bands, not acting, otherwise, outputting the frequency response curves and the corresponding channels thereof to position and inform related personnel of adjustment. The invention can still quickly detect the audio performance of the wireless earphone under the condition of low cost, and quickly position the position with abnormal audio performance so as to facilitate the quick adjustment of an audio test engineer.

Description

Wireless earphone abnormity detection method and structure

Technical Field

The present invention relates to wireless earphone anomaly detection, and more particularly, to a wireless earphone anomaly detection method and structure.

Background

The audio performance of the wireless earphones is detected by professional audio test engineers through artificial listening tests or electroacoustic test instruments, so that the audio performance of the wireless earphones is guaranteed. However, since the audio test engineers are natural persons, and the audio performance of the wireless earphones is judged by depending on the subjective feelings of the natural persons, which is very abstract, and cannot obtain a quantifiable standard, on a mass-produced wireless earphone production line, if the audio performance of each wireless earphone is controlled by a plurality of audio test engineers, the consistency of the audio performance of all the wireless earphones cannot be ensured.

Meanwhile, due to insufficient test experience of part of audio test engineers, even if the audio performance of the wireless headset is detected to be abnormal, the reason causing the abnormal audio performance cannot be accurately positioned, and then adjustment is carried out.

In addition, since the electroacoustic test instrument can only test whether the audio frequency response curve of the wireless headset is within the threshold range, and cannot determine or locate the abnormal reason of the audio performance of the wireless headset, a professional audio test engineer is required to analyze the abnormal reason of the wireless headset with the abnormal audio performance after the electroacoustic test instrument is tested, so as to locate the abnormal position and further perform adjustment, and thus, even if the expensive electroacoustic test instrument is used, the conditions of complicated process and low efficiency still occur.

Disclosure of Invention

The invention aims to provide a wireless earphone abnormity detection method and a structure, which can still quickly detect the audio performance of a wireless earphone under the condition of low cost, and quickly position the position of the audio performance abnormity so as to facilitate quick adjustment of an audio test engineer.

Therefore, the invention provides a wireless earphone abnormity detection method, which comprises the following steps of putting a plurality of different wireless earphones into the following steps for operation to quickly detect the audio performance of the wireless earphones and positioning the position of the audio performance abnormity for adjustment:

s1, for each wireless earphone, an external detection system communicates with the wireless earphone through four channels A to D and transmits set audio;

s2, controlling each wireless earphone to play set audio transmitted by each channel from A to D, acquiring audio data which are played by each wireless earphone and correspond to the channels from A to D one by an external detection system, and drawing a frequency response curve for each channel from A to D of each wireless earphone;

s3, taking part of wireless earphones as reference detection earphones, adding a set value Z for ensuring that the frequency response curve is not distorted to any one of the frequency response curves of the plurality of reference detection earphones drawn in the S2 to serve as an upper limit of the frequency response curve, adding a set value-Z for ensuring that the frequency response curve is not distorted to serve as a lower limit of the frequency response curve, enclosing audio qualified bands of channels corresponding to the frequency response curve according to the upper limit and the lower limit of the frequency response curve, dividing the audio qualified bands into four types corresponding to channels A to D, and averaging the audio qualified bands of each type to obtain four standard audio qualified bands corresponding to the channels A to D;

and S4, taking the rest wireless earphones as detection earphones, determining that each detection earphone is qualified if the four frequency response curves corresponding to the channels A to D are all in the corresponding standard audio qualified bands, and outputting one of the frequency response curves and the channel corresponding to the frequency response curve if one of the frequency response curves is not in the corresponding audio qualified band.

Further, the step S1 further includes controlling a part of the wireless headsets to switch from the non-service state to the active noise reduction mode, collecting active noise reduction played by each wireless headset and drawing a frequency response curve, adding a set value Z to any one of the frequency response curves as an upper limit of the frequency response curve, adding a set value-Z to the frequency response curve as an upper limit of the frequency response curve, enclosing an audio qualified band of the active noise reduction mode together according to the upper limit and the lower limit of the frequency response curve, using the remaining wireless headsets as detection headsets, determining that each detection headset is qualified if the detection headset is in the audio qualified band of the active noise reduction mode, and outputting the frequency response curve and a channel corresponding to the detection headset if one of the frequency response curves is not in the audio qualified band corresponding to the detection headset.

Further, the four channels a to D correspond in sequence: AAC channel, SBC channel, CVSD channel, mSBC channel.

Further, the step S1 specifically includes:

(1) Connecting an AAC channel to communicate with a wireless earphone and sending set audio, and collecting audio data played by the wireless earphone;

(2) Disconnecting the AAC channel of the wireless earphone, connecting the SBC channel to communicate with the wireless earphone and sending set audio, and collecting audio data played by the wireless earphone;

(3) Disconnecting the SBC channel of the wireless earphone, connecting the CVSD channel to communicate with the wireless earphone, sending set audio, and collecting audio data played by the wireless earphone;

(4) And disconnecting the CVSD channel of the wireless earphone, connecting the mSBC channel to communicate with the wireless earphone, sending a set audio, and acquiring audio data played by the wireless earphone.

Further, frequency sweeping processing is carried out on the audio data played by the wireless earphone.

And further, drawing the audio data after frequency sweep processing into a frequency response curve.

Further, the set value Z is +3dBm or-3 dBm.

Has the beneficial effects that:

the invention relates to a wireless earphone abnormity detection method, which comprises the steps of transmitting set audio for part of wireless earphones from a plurality of different channels through a controller, wherein the plurality of different channels correspond to the set audio one by one, collecting the set audio corresponding to any one channel played by the wireless earphones, drawing a frequency response curve corresponding to the channel, increasing the upper limit and the lower limit of a set value Z of the frequency response curve to be used as an audio qualified band, receiving the set audio sent by the controller through a plurality of different channels by the rest of the wireless earphones, collecting the set audio corresponding to any one channel played by the wireless earphones, drawing a plurality of frequency response curves corresponding to the channel, and comparing each frequency response curve corresponding to the frequency response curve of the channel with each frequency response curve of the channel.

Drawings

FIG. 1 is a schematic diagram of a test structure of the present invention;

FIG. 2 is a schematic structural diagram of an electronic device according to the present invention;

fig. 3 is a schematic structural diagram of a computer-readable storage medium according to the present invention.

Description of reference numerals: 1-a controller; 2-sound card; 3-a bluetooth module; 21-a processor; 22-a memory; 23-storage space; 24-program code; 31-program code.

Detailed Description

The invention is further described with reference to the following examples.

In addition, the controller 1 is connected with the sound card 2 through a USB interface to quickly transmit sound signals collected by the artificial Ear1 and the artificial Ear 2. A set audio is stored in the controller 1, and all the set audio used in the following tests are the same audio.

The method for detecting the abnormality of the wireless headset specifically executes the following steps to quickly detect the audio performance of the left ear or the right ear in the wireless headset:

s1, checking the lines of five Bluetooth earphones;

specifically, whether the loudspeaker appearances of the five Bluetooth earphones are normal or not is checked, whether positive and negative electrode bonding wires of the loudspeaker are correctly connected with the controller 1 in the Bluetooth earphones or not is checked, and after the fact that the circuits of the five Bluetooth earphones are normal is confirmed, the next step of testing is carried out.

S2, controlling the Bluetooth headset to receive set audio in an A2DP (AAC) channel and collecting audio data played by the Bluetooth headset;

specifically, five Bluetooth headsets are sequentially placed in the gap between the artificial Ear1 and the artificial Ear2, the controller 1 communicates with the placed Bluetooth headsets through the Bluetooth module 3 by using an A2DP (AAC) channel, and transmits the set audio to the Bluetooth headset through an A2DP (AAC) channel for playing, the artificial Ear1 and the artificial Ear2 respectively collect audio data played by the left Ear or the right Ear of the Bluetooth headset, and the audio data is stored in the controller 1 after being swept.

S3, controlling the Bluetooth headset to receive set audio in an A2DP (SBC) channel and collecting audio data played by the Bluetooth headset;

specifically, the controller 1 is disconnected from the bluetooth headset in step S3 via the bluetooth module 3, then uses the A2DP (SBC) channel to communicate, and transmits the set audio to the bluetooth headset via the A2DP (SBC) channel for playing, the artificial Ear1 and the artificial Ear2 respectively collect audio data played by the left Ear or the right Ear of the Bluetooth headset, sweep the frequency of the audio data and store the sweep frequency in the controller 1.

S4, controlling the Bluetooth headset to receive set audio in an HFP (CVSD) channel, and collecting audio data played by the Bluetooth headset;

specifically, the controller 1 disconnects the bluetooth headset in step S3 through the bluetooth module 3, and then controls the bluetooth headset and the bluetooth headset to communicate using the HFP (CVSD) channel, and transmits the setting audio to the bluetooth headset through the HFP (CVSD) channel for playing, the artificial Ear1 and the artificial Ear2 respectively collect audio data played by the left Ear or the right Ear of the Bluetooth headset, and the audio data is stored in the controller 1 after being swept.

S5, controlling the Bluetooth headset to receive set audio in an HFP (mSBC) channel, and collecting audio data played by the Bluetooth headset;

specifically, the controller 1 disconnects the bluetooth headset in step S4 through the bluetooth module 3, and then controls the bluetooth headset to communicate with the controller using the HFP (mSBC) channel and transmit the setting audio to the bluetooth headset through the HFP (mSBC) channel for playing, the artificial Ear1 and the artificial Ear2 respectively collect audio data played by the left Ear or the right Ear of the Bluetooth headset, and the audio data is stored in the controller 1 after being swept.

S6, controlling the Bluetooth headset to switch from a non-service state to an active noise reduction mode, and collecting broadcast audio data;

specifically, the controller 1 disconnects the bluetooth headset in step S5 through the bluetooth module 3, controls the bluetooth headset to switch from the non-service state to the active noise reduction mode, the artificial Ear1 and the artificial Ear2 respectively collect audio data played by the left Ear or the right Ear of the Bluetooth headset, sweep the frequency of the audio data and store the sweep frequency in the controller 1.

S7, respectively making the audio data of each channel in the S2-S6 into five frequency response curves;

specifically, the average frequency response curves of the five bluetooth headsets communicating through the A2DP (AAC) channel are averaged to obtain one average frequency response curve, the A2DP (SBC) channel, the HFP (CVSD) channel, and the HFP (mSBC) channel are operated as above to obtain one average frequency response curve, and the average frequency response curves of the five bluetooth headsets switching from the non-service state to the active noise reduction mode are averaged to obtain one average frequency response curve, so that five frequency response curves are obtained in the step S7.

S8, limiting the range of plus and minus 3dB of the frequency response curve obtained in the step S7 to obtain five audio qualified bands;

specifically, the average frequency response curves of the A2DP (AAC) channel communication obtained in step S7 are all increased by 3dB to obtain the upper limit of the frequency response curve, and the average frequency response curves are all decreased by 3dB to obtain the lower limit of the frequency response curve, where the upper limit and the lower limit of the frequency response curve of the A2DP (AAC) channel enclose a frequency response curve band, which is the audio qualified band of the A2DP (AAC) channel. After the A2DP (SBC) channel, the HFP (CVSD) channel, and the HFP (mSBC) channel are all operated as above, the audio standard band of the A2DP (SBC) channel, the audio standard band of the HFP (CVSD) channel, and the audio standard band of the HFP (mSBC) channel are respectively assigned. Increasing 3dB to the average frequency response curve of the Bluetooth headset switched from the non-service state to the active noise reduction mode to obtain the upper limit of the frequency response curve, and decreasing 3dB to the average frequency response curve to obtain the lower limit of the frequency response curve, wherein the upper limit and the lower limit enclose the audio qualified band of the Bluetooth headset switched from the non-service state to the active noise reduction mode, so that five audio qualified bands are obtained in the step S8.

S9, respectively placing the Bluetooth earphones on the production line between the artificial Ear1 and the artificial Ear2, and testing to locate the position with abnormal audio performance;

specifically, the five audio qualified bands obtained in step S8 are used as standards to test the bluetooth headset on the production line through an A2DP (AAC) channel, an A2DP (SBC) channel, an HFP (CVSD) channel, and an HFP (mSBC) channel, and obtain a frequency response curve respectively, compare each frequency response curve with the corresponding audio qualified band in step S8, and if each frequency response curve is within the audio qualified band, determine that the bluetooth headset is not abnormal; if any frequency response curve exceeds the corresponding audio qualified band, the fact that the channel corresponding to the audio qualified band is abnormal in the Bluetooth headset is judged, and abnormal information is marked in the controller 1 to serve as positioning information.

Step S10, informing an audio test engineer to adjust according to the positioning information;

specifically, according to the positioning information in step S9, the audio test engineer is notified to adjust the channel, so as to ensure that when the bluetooth module 3 sets audio through the channel and the bluetooth headset, the controller 1 collects audio data played by the bluetooth headset to draw a frequency response curve, and the frequency response curve does not exceed a corresponding audio qualified band, thereby rapidly solving the problem of abnormal audio of the bluetooth headset and improving the production efficiency.

Further, as can be seen from many tests, the original power used by the bluetooth headset to play the audio is the same as the power used by the bluetooth headset which is twice as high as the original power to play the audio, and when the power of the bluetooth headset is one time of the original power, the power of the controller 1 for receiving the audio played by the bluetooth headset is obtained as follows:

10*log(1mW/1mW)＝10*log(1)＝0dBm

10*log(2mW/1mW)＝10*log(2)＝3dBm

in other words, the power of the audio played by the controller 1 receiving the bluetooth headset may be shifted by 3dBm, and the audio heard by the human ear is the same. Therefore, in the step S8, the range of plus or minus 3dB is defined for the frequency response curve, so that the audio played by the bluetooth headset is not distorted, the audio playing quality of the bluetooth headset is improved, and the range of plus or minus 3dB is defined for the frequency response curve.

And the audio data played by the Bluetooth headset is subjected to frequency sweeping processing so as to sequence the audio data and facilitate the controller to draw a frequency response curve.

It should be noted that:

the method used in this embodiment can be converted into program steps and means that can be stored in a computer storage medium, and implemented by means of being called and executed by the controller 1.

The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose devices may be used with the teachings herein. The required structure for constructing such a device will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.

In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.

Those skilled in the art will appreciate that the modules in the devices in an embodiment may be adaptively changed and arranged in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.

Various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It will be appreciated by those skilled in the art that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components of the apparatus for detecting a wearing state of an electronic device according to an embodiment of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.

For example, fig. 2 shows a schematic structural diagram of an electronic device according to an embodiment of the invention. The electronic device conventionally comprises a processor 21 and a memory 22 arranged to store computer-executable instructions (program code). The memory 22 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. The memory 22 has a storage space 23 storing program code 24 for performing any of the method steps in the embodiments. For example, the storage space 23 for the program code may comprise respective program codes 24 for implementing respective steps in the above method. The program code can be read from or written to one or more computer program products. These computer program products comprise a program code carrier such as a hard disk, a Compact Disc (CD), a memory card or a floppy disk. Such a computer program product is typically a computer readable storage medium such as described in fig. 3. The computer readable storage medium may have memory segments, memory spaces, etc. arranged similarly to the memory 22 in the electronic device of fig. 2. The program code may be compressed, for example, in a suitable form. In general, the memory unit stores program code 31 for performing the steps of the method according to the invention, i.e. program code readable by a processor such as 21, which when run by an electronic device causes the electronic device to perform the individual steps of the method described above.

It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means can be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.

Claims

1. A wireless earphone abnormity detection method is characterized by comprising the following steps of putting a plurality of different wireless earphones into the following steps for operation so as to quickly detect the audio performance of the wireless earphones and locate the position of the audio performance abnormity so as to adjust:

s2, controlling each wireless earphone to play set audio transmitted by each channel from A to D, and acquiring audio data which are played by each wireless earphone and correspond to the channels from A to D one by an external detection system, wherein the four channels from A to D correspond to each other in sequence: the method comprises the following steps that an AAC channel, an SBC channel, a CVSD channel and an mSBC channel are adopted, and a frequency response curve is respectively drawn for channels A to D of each wireless earphone;

s3, taking part of wireless earphones as reference detection earphones, obtaining an average frequency response curve by averaging the frequency response curves of all reference detection earphones communicated by using an AAC channel, obtaining one average frequency response curve after the SBC channel, the CVSD channel and the mSBC channel are operated as above, adding a set value Z for ensuring that the frequency response curve is not distorted to each average frequency response curve as an upper limit of the frequency response curve, adding a set value-Z for ensuring that the frequency response curve is not distorted as a lower limit of the frequency response curve, and enclosing an audio qualified band of a channel corresponding to the frequency response curve according to the upper limit and the lower limit of the frequency response curve so as to obtain four standard audio qualified bands corresponding to the channels A to D;

2. The method as claimed in claim 1, wherein the step S1 further includes controlling the wireless headsets to collect active noise reduction played by each wireless headset and draw a frequency response curve respectively when some wireless headsets are switched from a non-service state to an active noise reduction mode, taking an average frequency response curve obtained by averaging the frequency response curves as an upper limit of the frequency response curve by adding a set value Z, adding a set value-Z to the frequency response curve as a lower limit of the frequency response curve, enclosing an audio qualified band of the active noise reduction mode together according to the upper limit and the lower limit of the frequency response curve, taking the rest of the wireless headsets as the detecting headsets, determining that each detecting headset is qualified if the audio qualified band of the active noise reduction mode exists, and outputting the frequency response curve and a channel corresponding to the frequency response curve if one of the frequency response curves is not in the corresponding audio qualified band.

3. The method for detecting the abnormality of the wireless headset according to claim 1, wherein the step S1 is specifically:

(4) And disconnecting the CVSD channel of the wireless earphone, connecting the mSBC channel to communicate with the wireless earphone, sending set audio, and collecting audio data played by the wireless earphone.

4. The method as claimed in claim 3, wherein the audio data played by the wireless headset is frequency-swept.

5. The method of claim 4, wherein the audio data after frequency sweep processing is plotted into a frequency response curve.

6. The wireless headset abnormality detection method according to claim 1, wherein the set value Z is +3dBm or-3 dBm.

7. An arrangement for carrying out the wireless headset abnormality detection method according to any one of claims 1 to 6, characterized in that: <xnotran> , Ear1, Ear2, , , , , , , Ear1, Ear2, , , Ear1, Ear2 , Ear1 Ear2 , Ear1 , Ear2 , , Ear1, Ear2 BNC 6.5mm . </xnotran>