CN111372180A - Detection method and detection system of intelligent earphone - Google Patents

Detection method and detection system of intelligent earphone Download PDF

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Publication number
CN111372180A
CN111372180A CN202010138481.8A CN202010138481A CN111372180A CN 111372180 A CN111372180 A CN 111372180A CN 202010138481 A CN202010138481 A CN 202010138481A CN 111372180 A CN111372180 A CN 111372180A
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China
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sound
earphone
collection channel
loudspeaker
sound collection
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Chinese (zh)
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覃泰瑾
薛强
钟俊
吴子明
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SHENZHEN CULTRAVIEW DIGITAL TECHNOLOGY CO LTD
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SHENZHEN CULTRAVIEW DIGITAL TECHNOLOGY CO LTD
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Priority to CN202010138481.8A priority Critical patent/CN111372180A/en
Publication of CN111372180A publication Critical patent/CN111372180A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04RLOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R29/00Monitoring arrangements; Testing arrangements
    • H04R29/001Monitoring arrangements; Testing arrangements for loudspeakers

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  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Otolaryngology (AREA)
  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Acoustics & Sound (AREA)
  • Signal Processing (AREA)
  • Headphones And Earphones (AREA)

Abstract

The application belongs to the technical field of earphone detection methods, and relates to a detection method and a detection system of an intelligent earphone.A detection device is inserted into the intelligent earphone, and when the sound of a sound collection channel of an earphone body is detected and the sound of a sound collection channel of a loudspeaker is not detected, the function of the intelligent earphone is judged to be preliminarily qualified; further analyzing whether the amplitude of the sound collection channel of the earphone main body is in a preset range and whether the waveform of the sound is distorted; then pulling the intelligent earphone out of the detection equipment; when the sound collection channel of the earphone main body is detected to have no sound and the sound collection channel of the loudspeaker has sound, the elastic sheet of the intelligent earphone is judged to be recovered to be normal. Therefore, whether the amplitude of the sound collection channel of the earphone main body is within the preset range or not and whether the waveform of the sound is distorted or not can be correctly judged by adopting the detection mode, and whether the elastic sheet of the earphone seat normally pops open or not after the earphone seat is pulled out is effectively detected.

Description

Detection method and detection system of intelligent earphone
Technical Field
The application belongs to the technical field of earphone detection methods, and particularly relates to a detection method and a detection system of an intelligent earphone.
Background
At present, in the function test of earphones in the market, an inspector often inserts the earphones, and artificially listens to the sound of the earphones to detect whether the earphone function of a card is normal, so that misjudgment is easy to occur in the mode, and meanwhile, sound distortion cannot be intercepted; in addition, after the earphone seat is plugged for a plurality of times, the earphone elastic piece is easy to loosen, whether the earphone elastic piece normally pops open or the noise of the earphone is too large or cannot be detected, and the user experience is difficult to promote.
Therefore, the existing intelligent earphone has the problems that whether the earphone function of the card detection card is normal or not is detected in an artificial mode, misjudgment is easy to occur, and sound distortion cannot be detected.
Disclosure of Invention
In view of this, embodiments of the present application provide a method and a system for detecting a smart headset, which are intended to solve the problems that an existing smart headset detects whether a card headset function is normal or not in an artificial manner, misjudgment is likely to occur, and sound distortion cannot be detected.
A first aspect of an embodiment of the present application provides a method for detecting a smart headset, where the smart headset includes a headset main body and a speaker, and the method includes:
inserting the smart headset into a detection device;
when the sound of the sound collection channel of the earphone body is detected and the sound of the sound collection channel of the loudspeaker is detected, judging that the function of the intelligent earphone is preliminarily qualified;
analyzing whether the amplitude of the sound collection channel of the earphone main body is in a preset range and whether the waveform of the sound is distorted;
pulling the intelligent earphone out of the detection equipment;
when the sound collection channel of the earphone main body is detected to have no sound, and the sound collection channel of the loudspeaker has sound, the elastic sheet of the intelligent earphone is judged to be recovered to be normal.
Preferably, after the intelligent headset is inserted into the detection device, the method further comprises:
and when detecting that the sound collection channel of the earphone main body has no sound, judging that the function of the intelligent earphone is abnormal.
Preferably, after the intelligent headset is inserted into the detection device, the method further comprises:
when detecting that the sound collection channel of the loudspeaker has sound, judging that the earphone body and the loudspeaker have mutually exclusive functions, or judging that the loudspeaker has background noise and noise.
Preferably, after the intelligent headset is inserted into the detection device, the method further comprises:
when detecting that the sound collection channel of earphone main part and the sound collection channel of loudspeaker all have sound, judge that there is the anomaly in the shell fragment of intelligent earphone to stop detecting.
Preferably, analyzing whether the amplitude of the sound collection channel of the earphone body is within a preset range and whether the waveform of the sound is distorted includes:
acquiring the waveform of the sound of a sound acquisition channel of the earphone main body by adopting an analog-to-digital converter, comparing the waveform with a reference waveform, and determining whether the amplitude of the sound is within a test index range;
receiving sine waves with preset frequency and preset amplitude, and calculating whether the waveform of the sound has the phenomena of topping and distortion deformation through an algorithm.
A second aspect of the embodiments of the present application provides a detection system for an intelligent headset, where the intelligent headset includes a headset main body and a speaker, the detection system includes:
the plugging module is used for plugging or unplugging the intelligent earphone into or from the detection equipment;
the preliminary judgment module is used for judging that the function of the intelligent earphone is preliminarily qualified when the sound collection channel of the earphone body is detected to have sound and the sound collection channel of the loudspeaker does not have sound after the intelligent earphone is inserted into the detection equipment;
the analysis module is used for analyzing whether the amplitude of the sound collection channel of the earphone main body is in a preset range and whether the waveform of the sound is distorted;
and the elastic sheet function detection module is used for judging that the elastic sheet of the intelligent earphone is recovered to be normal when the sound collection channel of the earphone main body is detected to have no sound and the sound collection channel of the loudspeaker has sound after the intelligent earphone is pulled out of the detection equipment.
Preferably, the method further comprises the following steps:
the first judgment module for abnormal function is used for judging the abnormal function of the intelligent earphone when detecting that no sound exists in the sound collection channel of the earphone main body.
Preferably, the method further comprises the following steps:
and the second abnormal function judging module is used for judging that the earphone main body and the loudspeaker are mutually exclusive in function or that the loudspeaker has bottom noise and noise when detecting that the sound collecting channel of the loudspeaker has sound.
Preferably, the method further comprises the following steps:
and the elastic sheet abnormity judgment module is used for judging that the elastic sheet of the intelligent earphone is abnormal and stopping detection when the sound collection channels of the earphone body and the loudspeaker are both provided with sound.
Preferably, the analysis module comprises:
the amplitude analysis unit is used for acquiring the waveform of the sound acquisition channel of the earphone main body by adopting the analog-to-digital converter, comparing the waveform with a reference waveform and confirming whether the amplitude of the sound is within the range of the test index;
and the waveform distortion analysis unit is used for receiving sine waves with preset frequency and preset amplitude and calculating whether the waveform of the sound has the phenomena of topping and distortion deformation or not through an algorithm.
According to the detection method and system of the intelligent earphone, the intelligent earphone is inserted into the detection equipment, and when the sound collection channel of the earphone body is detected to have sound and the sound collection channel of the loudspeaker does not have sound, the function of the intelligent earphone is judged to be preliminarily qualified; further analyzing whether the amplitude of the sound collection channel of the earphone main body is in a preset range and whether the waveform of the sound is distorted; then pulling the intelligent earphone out of the detection equipment; when the sound collection channel of the earphone main body is detected to have no sound and the sound collection channel of the loudspeaker has sound, the elastic sheet of the intelligent earphone is judged to be recovered to be normal. Therefore, whether the amplitude of the sound collection channel of the earphone main body is within the preset range or not and whether the waveform of the sound is distorted or not can be correctly judged by adopting the detection mode, and the effect of whether the elastic sheet of the earphone seat normally pops open or not is effectively detected after the earphone seat is pulled out.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic flowchart illustrating steps of a detection method for an intelligent headset according to an aspect of the present application;
fig. 2 is a schematic flow chart of a plurality of judgment results in parallel with step S102 in the detection method for an intelligent headset corresponding to fig. 1;
fig. 3 is a flowchart illustrating a specific step corresponding to step S103 in the detection method of the smart headset of fig. 1;
fig. 4 is an exemplary circuit diagram corresponding to the headset holder in the smart headset of fig. 1.
Fig. 5 is a schematic block diagram of a detection system of a smart headset according to a second aspect of the present application;
fig. 6 is a schematic structural diagram of a plurality of modules in parallel with the preliminary determination module in the detection system of the smart headset corresponding to fig. 5;
fig. 7 is a schematic diagram of a specific structure of an analysis module in the detection system of the smart headset corresponding to fig. 5.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Referring to fig. 1, for convenience of description, only the relevant parts of the detection method for the smart headset according to an aspect of the present application are shown, and the following description is made:
the detection method of the intelligent earphone comprises the following steps:
s101, inserting an intelligent earphone into detection equipment;
specifically, the detection device is provided with an automatic host sound collection and analysis module for analyzing and processing the sound of the sound collection channel of the earphone body and the sound of the sound collection channel of the speaker. The intelligent earphone is inserted into the detection equipment, so that the automatic host sound acquisition and analysis module can accurately detect the intelligent earphone.
S102, when the sound of the sound collection channel of the earphone main body is detected and the sound of the sound collection channel of the loudspeaker is detected, judging that the function of the intelligent earphone is preliminarily qualified;
specifically, the function of the intelligent earphone is preliminarily qualified by establishing that sound exists in a sound collection channel of the earphone main body, and on the basis that the sound collection channel of the loudspeaker does not have sound, the sound of the two sound collection channels (including the sound collection channel of the earphone main body and the sound collection channel of the loudspeaker) is analyzed and acquired through the automatic host sound collection analysis module.
S103, analyzing whether the amplitude of the sound collection channel of the earphone main body is in a preset range and whether the waveform of the sound is distorted;
specifically, on the one hand, whether the amplitude of the sound collection channel of the earphone body is within the preset range is analyzed to determine whether the earphone body is working normally, that is, when the amplitude of the sound collection channel of the earphone body is within the preset range, the earphone body is working normally, and vice versa. On the other hand, whether the waveform of the sound collection channel of the headphone body is distorted is analyzed to make a more accurate judgment on the result of detection.
S104, pulling the intelligent earphone out of the detection device;
specifically, the detection device is pulled out of the intelligent earphone to further detect the intelligent earphone, and the intelligent earphone is independent of the detection device at the moment.
And S105, when the condition that the sound collection channel of the earphone main body has no sound and the sound collection channel of the loudspeaker has sound is detected, judging that the elastic sheet of the intelligent earphone is recovered to be normal.
Specifically, if after the intelligent earphone is pulled out of the detection device, the sound collection channel which detects the earphone main body has sound, or the sound collection channel which detects the loudspeaker has no sound, the function abnormality of the elastic sheet of the intelligent earphone is judged.
As shown in fig. 2, in the detection method of the smart headset, after the smart headset is inserted into the detection device, the method further includes the following steps:
and S107, when the condition that no sound exists in the sound collection channel of the earphone main body is detected, judging that the function of the intelligent earphone is abnormal.
And when detecting that the sound collection channel of the earphone main body has no sound, the detection method further comprises the following steps:
and S108, when the sound of the sound acquisition channel of the loudspeaker is detected, judging that the exclusive function of the earphone main body and the loudspeaker is abnormal, or judging that the loudspeaker has background noise and noise.
In addition, the steps parallel to step S102 and step S107 include the steps of:
s109, when the sound collection channels of the earphone main body and the loudspeaker are detected to have sound, it is judged that the elastic sheet of the intelligent earphone is abnormal, and detection is stopped.
Specifically, step S102, step S107 and step S109 belong to parallel situations, and the three have no precedence, that is, the branch is performed after step S101, and whether the different states and functions of the smart headset are abnormal or not is determined according to the detected different situations.
Fig. 3 shows a specific step flow corresponding to step S103 in the detection method of the smart headset of fig. 1, and for convenience of description, only the parts related to the present embodiment are shown, which are detailed as follows:
as an embodiment of the present application, whether the amplitude of the sound collection channel of the earphone main body is within a preset range and whether the waveform of the sound is distorted is analyzed, specifically including the following steps:
s1031, acquiring a sound waveform of a sound acquisition channel of the earphone main body by using an analog-to-digital converter, comparing the waveform with a reference waveform, and determining whether the amplitude of the sound is within a test index range;
s1032, receiving a sine wave with preset frequency and preset amplitude, and calculating whether the waveform of the sound has the phenomena of topping and distortion deformation through an algorithm.
Fig. 4 shows an example circuit corresponding to the headset holder in the smart headset of fig. 1, and for convenience of explanation, only the parts related to the present embodiment are shown, and detailed as follows:
specifically, the working principle of the earphone seat is as follows:
1. APM _ ROUT is a pin of sound of a main board loudspeaker, the sound of the loudspeaker is output from a loudspeaker seat of SPEAKER after passing through an earphone seat switch, but when the earphone body is not inserted, a channel 5 and a channel 6 are connected, so that the loudspeaker is defaulted to have sound;
2. after the earphone is inserted, the elastic sheet of the earphone seat is opened, the channel 5 and the channel 6 are disconnected, the loudspeaker does not have sound, and the sound of the earphone main body is input to the intelligent earphone through the earphone seat.
Fig. 5 shows a module structure of a detection system of a smart headset according to a second aspect of the present application, and for convenience of description, only the parts related to the present embodiment are shown, which are detailed as follows:
above-mentioned detecting system of intelligent earphone, intelligent earphone include earphone main part and loudspeaker, and this detecting system includes:
the plugging module 100 is used for plugging the intelligent earphone into or unplugging the detection device;
specifically, the detection device is provided with an automatic host sound collection and analysis module for analyzing and processing the sound of the sound collection channel of the earphone body and the sound of the sound collection channel of the speaker. The intelligent earphone is inserted into or pulled out of the detection equipment, so that the automatic host sound acquisition and analysis module can accurately detect the intelligent earphone.
The preliminary judgment module 200 is used for judging that the function of the intelligent earphone is preliminarily qualified when the sound collection channel of the earphone body is detected to have sound and the sound collection channel of the loudspeaker does not have sound after the intelligent earphone is inserted into the detection device;
specifically, the function of the intelligent earphone is preliminarily qualified by establishing that sound exists in a sound collection channel of the earphone main body, and on the basis that the sound collection channel of the loudspeaker does not have sound, the sound of the two sound collection channels (including the sound collection channel of the earphone main body and the sound collection channel of the loudspeaker) is analyzed and acquired through the automatic host sound collection analysis module.
The analysis module 300 is configured to analyze whether an amplitude of a sound collection channel of the earphone body is within a preset range, and whether a waveform of the sound is distorted;
specifically, on the one hand, whether the amplitude of the sound collection channel of the earphone body is within the preset range is analyzed to determine whether the earphone body is working normally, that is, when the amplitude of the sound collection channel of the earphone body is within the preset range, the earphone body is working normally, and vice versa. On the other hand, whether the waveform of the sound collection channel of the headphone body is distorted is analyzed to make a more accurate judgment on the result of detection.
The elastic piece function detection module 400 is used for judging that the elastic piece of the intelligent earphone is recovered to be normal when the sound collection channel of the earphone body is detected to have no sound and the sound collection channel of the loudspeaker has sound after the intelligent earphone is pulled out of the detection equipment.
Specifically, if after the intelligent earphone is pulled out of the detection device, the sound collection channel which detects the earphone main body has sound, or the sound collection channel which detects the loudspeaker has no sound, the function abnormality of the elastic sheet of the intelligent earphone is judged.
Fig. 6 shows a plurality of module structures juxtaposed to the preliminary decision module in the detection system of the smart headset corresponding to fig. 5, and for convenience of description, only the parts related to the present embodiment are shown, and detailed descriptions are as follows:
illustratively, the detection system further includes:
the first determination module 700 for determining the abnormal function of the smart headset is used for determining the abnormal function of the smart headset when detecting that the sound collection channel of the headset main body has no sound.
Linked to the first determination module 700 for dysfunction, the above detection system further includes:
and the second abnormal function determination module 800 is configured to determine that the earphone body and the loudspeaker are mutually exclusive in function or that the loudspeaker has background noise and noise when detecting that the sound collection channel of the loudspeaker has sound.
In parallel with the preliminary determination module 200 and the first determination module 700 for abnormal function, the detection system further includes:
the elastic piece abnormity determining module 900 is used for determining that the elastic piece of the intelligent earphone is abnormal when the sound collecting channels of the earphone main body and the loudspeaker are detected to have sound, and stopping detection.
Specifically, the preliminary determination module 200, the first determination module 700 for abnormal function, and the elastic sheet abnormality determination module 900 are parallel, and they are not sequentially divided, that is, they are branched from the plug module 100, so as to determine whether the different states and functions of the smart headset are abnormal or not according to the different detected conditions.
Fig. 7 shows a specific structure of an analysis module in the detection system of the smart headset corresponding to fig. 5, and for convenience of description, only the parts related to the present embodiment are shown, and detailed descriptions are as follows:
the analysis module 300 includes:
the amplitude analysis unit 301 is configured to acquire a waveform of a sound acquisition channel of the earphone body by using an analog-to-digital converter, compare the waveform with a reference waveform, and determine whether the amplitude of the sound is within a test index range;
the waveform distortion analysis unit 302 is configured to receive a sine wave with a preset frequency and a preset amplitude, and calculate whether the waveform of the sound has the phenomena of topping and distortion deformation through an algorithm.
Therefore, the detection method and the detection system for the intelligent headset have the advantages that:
1. the sine wave sound with fixed frequency and fixed amplitude is used as a signal source, so that the amplitude and distortion of the intelligent earphone can be analyzed through a simple algorithm;
2. the mutual exclusion function of the earphone body and the loudspeaker is checked by simultaneously checking the sound of two sound channels of the earphone body and the loudspeaker
3. Whether the earphone elastic sheet works normally or not is checked by simultaneously checking the sound of two sound channels of the earphone main body and the loudspeaker
In summary, according to the detection method and system for the intelligent headset in the embodiment of the application, by inserting the intelligent headset into the detection device, when it is detected that the sound collection channel of the headset main body has sound and the sound collection channel of the speaker does not have sound, it is determined that the function of the intelligent headset is initially qualified; further analyzing whether the amplitude of the sound collection channel of the earphone main body is in a preset range and whether the waveform of the sound is distorted; then pulling the intelligent earphone out of the detection equipment; when the sound collection channel of the earphone main body is detected to have no sound and the sound collection channel of the loudspeaker has sound, the elastic sheet of the intelligent earphone is judged to be recovered to be normal. Therefore, whether the amplitude of the sound collection channel of the earphone main body is within the preset range or not and whether the waveform of the sound is distorted or not can be correctly judged by adopting the detection mode, and the effect of whether the elastic sheet of the earphone seat normally pops open or not is effectively detected after the earphone seat is pulled out.
Various embodiments are described herein for various devices, circuits, apparatuses, systems, and/or methods. Numerous specific details are set forth in order to provide a thorough understanding of the overall structure, function, manufacture, and use of the embodiments as described in the specification and illustrated in the accompanying drawings. However, it will be understood by those skilled in the art that the embodiments may be practiced without such specific details. In other instances, well-known operations, components and elements have been described in detail so as not to obscure the embodiments in the description. It will be appreciated by those of ordinary skill in the art that the embodiments herein and shown are non-limiting examples, and thus, it can be appreciated that the specific structural and functional details disclosed herein may be representative and do not necessarily limit the scope of the embodiments.
Reference throughout the specification to "various embodiments," "in an embodiment," "one embodiment," or "an embodiment," etc., means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. Thus, appearances of the phrases "in various embodiments," "in some embodiments," "in one embodiment," or "in an embodiment," or the like, in places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. Thus, a particular feature, structure, or characteristic illustrated or described in connection with one embodiment may be combined, in whole or in part, with features, structures, or characteristics of one or more other embodiments without presuming that such combination is not an illogical or functional limitation. Any directional references (e.g., plus, minus, upper, lower, upward, downward, left, right, leftward, rightward, top, bottom, above …, below …, vertical, horizontal, clockwise, and counterclockwise) are used for identification purposes to aid the reader's understanding of the present disclosure, and do not create limitations, particularly as to the position, orientation, or use of the embodiments.
Although certain embodiments have been described above with a certain degree of particularity, those skilled in the art could make numerous alterations to the disclosed embodiments without departing from the scope of this disclosure. Joinder references (e.g., attached, coupled, connected, and the like) are to be construed broadly and may include intermediate members between a connection of elements and relative movement between elements. Thus, connection references do not necessarily imply that two elements are directly connected/coupled and in a fixed relationship to each other. The use of "for example" throughout this specification should be interpreted broadly and used to provide non-limiting examples of embodiments of the disclosure, and the disclosure is not limited to such examples. It is intended that all matter contained in the above description or shown in the accompanying drawings shall be interpreted as illustrative only and not limiting. Changes in detail or structure may be made without departing from the disclosure.
The present invention is not intended to be limited to the particular embodiments shown and described, but is to be accorded the widest scope consistent with the principles and novel features herein disclosed.

Claims (10)

1. A detection method of a smart headset, wherein the smart headset comprises a headset body and a loudspeaker, and the detection method comprises the following steps:
inserting the smart headset into a detection device;
when the sound of the sound collection channel of the earphone body is detected and the sound of the sound collection channel of the loudspeaker is detected, judging that the function of the intelligent earphone is preliminarily qualified;
analyzing whether the amplitude of the sound collection channel of the earphone main body is in a preset range and whether the waveform of the sound is distorted;
pulling the intelligent earphone out of the detection equipment;
when the sound collection channel of the earphone main body is detected to have no sound, and the sound collection channel of the loudspeaker has sound, the elastic sheet of the intelligent earphone is judged to be recovered to be normal.
2. The detection method according to claim 1, further comprising, after inserting the smart headset into a detection device:
and when detecting that the sound collection channel of the earphone main body has no sound, judging that the function of the intelligent earphone is abnormal.
3. The detection method according to claim 2, further comprising, after inserting the smart headset into a detection device:
when detecting that the sound collection channel of the loudspeaker has sound, judging that the earphone body and the loudspeaker have mutually exclusive functions, or judging that the loudspeaker has background noise and noise.
4. The detection method according to claim 1, further comprising, after inserting the smart headset into a detection device:
when detecting that the sound collection channel of earphone main part and the sound collection channel of loudspeaker all have sound, judge that there is the anomaly in the shell fragment of intelligent earphone to stop detecting.
5. The detecting method according to claim 1, wherein analyzing whether the amplitude of the sound collecting channel of the earphone body is within a preset range and whether the waveform of the sound is distorted includes:
acquiring the waveform of the sound of a sound acquisition channel of the earphone main body by adopting an analog-to-digital converter, comparing the waveform with a reference waveform, and determining whether the amplitude of the sound is within a test index range;
receiving sine waves with preset frequency and preset amplitude, and calculating whether the waveform of the sound has the phenomena of topping and distortion deformation through an algorithm.
6. The utility model provides a detecting system of intelligent earphone, intelligent earphone includes earphone main part and loudspeaker, its characterized in that, detecting system includes:
the plugging module is used for plugging or unplugging the intelligent earphone into or from the detection equipment;
the preliminary judgment module is used for judging that the function of the intelligent earphone is preliminarily qualified when the sound collection channel of the earphone body is detected to have sound and the sound collection channel of the loudspeaker does not have sound after the intelligent earphone is inserted into the detection equipment;
the analysis module is used for analyzing whether the amplitude of the sound collection channel of the earphone main body is in a preset range and whether the waveform of the sound is distorted;
and the elastic sheet function detection module is used for judging that the elastic sheet of the intelligent earphone is recovered to be normal when the sound collection channel of the earphone main body is detected to have no sound and the sound collection channel of the loudspeaker has sound after the intelligent earphone is pulled out of the detection equipment.
7. The detection system of claim 6, further comprising:
the first judgment module for abnormal function is used for judging the abnormal function of the intelligent earphone when detecting that no sound exists in the sound collection channel of the earphone main body.
8. The detection system of claim 7, further comprising:
and the second abnormal function judging module is used for judging that the earphone main body and the loudspeaker are mutually exclusive in function or that the loudspeaker has bottom noise and noise when detecting that the sound collecting channel of the loudspeaker has sound.
9. The detection system of claim 6, further comprising:
and the elastic sheet abnormity judgment module is used for judging that the elastic sheet of the intelligent earphone is abnormal and stopping detection when the sound collection channels of the earphone body and the loudspeaker are both provided with sound.
10. The detection system of claim 6, wherein the analysis module comprises:
the amplitude analysis unit is used for acquiring the waveform of the sound acquisition channel of the earphone main body by adopting the analog-to-digital converter, comparing the waveform with a reference waveform and confirming whether the amplitude of the sound is within the range of the test index;
and the waveform distortion analysis unit is used for receiving sine waves with preset frequency and preset amplitude and calculating whether the waveform of the sound has the phenomena of topping and distortion deformation or not through an algorithm.
CN202010138481.8A 2020-03-03 2020-03-03 Detection method and detection system of intelligent earphone Pending CN111372180A (en)

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CN113329315A (en) * 2021-05-24 2021-08-31 歌尔股份有限公司 Detection method, device and equipment of audio playing equipment and storage medium
CN115793062A (en) * 2021-07-22 2023-03-14 荣耀终端有限公司 Earphone in-place detection method and device

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