CN113163318A - Call Bluetooth headset based on ENC noise reduction - Google Patents
Call Bluetooth headset based on ENC noise reduction Download PDFInfo
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- H—ELECTRICITY
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- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
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Abstract
The invention discloses a call Bluetooth headset based on ENC noise reduction, which relates to the technical field of noise-reduced call Bluetooth headsets and solves the technical problem that the use quality of a user is reduced due to the fact that the user cannot be analyzed and screened in the prior art, and connection information of the user is analyzed through a connection analysis unit, so that reasonable grade differentiation is performed on the user, and the specific analysis and detection process is as follows: acquiring the total connection time of a user and a corresponding Bluetooth headset, the total connection times of the user when the Bluetooth headset is used and the connection frequency of the user in the use process of the Bluetooth headset, acquiring the connection coefficient Xi of the Bluetooth headset of the user through a formula, and comparing the connection coefficient Xi of the Bluetooth headset of the user with the connection coefficient threshold of the Bluetooth headset; if the connection coefficient Xi of the Bluetooth headset of the user is larger than or equal to the connection coefficient threshold of the Bluetooth headset, marking the corresponding user as a priority user; the users are analyzed, the priority users are screened out, and the use quality of the users is improved.
Description
Technical Field
The invention relates to the technical field of noise-reduction communication Bluetooth headsets, in particular to a noise-reduction communication Bluetooth headset based on an ENC.
Background
The Bluetooth earphone applies the Bluetooth technology to the hands-free earphone, so that users can avoid annoying wiring stumbling and can easily talk in various ways. Since the advent of bluetooth headsets, bluetooth has been a good tool for the mobile commerce industry to improve efficiency, and bluetooth is a low-cost, high-capacity short-range wireless communication specification. A Bluetooth notebook computer is a notebook computer with a Bluetooth wireless communication function.
The patent with publication number CN108600888A discloses a noise reduction bluetooth headset, which comprises the following modules: the device comprises a Bluetooth module, an operational amplifier module, a power management module, an inverting module and a noise acquisition module; the power management module is directly connected with the Bluetooth module, the operational amplifier module and the phase reversal module for supplying power, the operational amplifier module is connected with the Bluetooth module in the forward direction, and the phase reversal module is connected in the backward direction; the noise reduction Bluetooth headset can provide two-stage noise reduction and 3 working modes; the two-stage noise reduction comprises: primary passive noise reduction and secondary active noise reduction; the primary active noise reduction adopts noise reduction materials to surround ears to form a closed space, or adopts silica gel earplug sound insulation materials to block outside noise and is used for eliminating outside high-frequency noise; the secondary active noise reduction collects reverse sound waves equal to external noise, and neutralizes the noise to eliminate the external low-frequency noise; the 3 working modes are respectively as follows: the Bluetooth working mode, the noise reduction working mode and the Bluetooth plus noise reduction working mode are respectively realized by a Bluetooth switch and a noise reduction fluctuation switch; the invention can effectively eliminate low-frequency noise and high-frequency noise, can freely switch among various working modes, and is convenient for users to flexibly select the applicable working modes.
However, in the prior art, users cannot be analyzed and screened, which results in the reduction of the use quality of the users.
Disclosure of Invention
The invention aims to provide a call Bluetooth headset based on ENC noise reduction, which analyzes the connection information of a user through a connection analysis unit so as to perform reasonable grade differentiation on the user, and the specific analysis and detection process is as follows: acquiring the total connection time of a user and a corresponding Bluetooth headset, the total connection times of the user when the Bluetooth headset is used and the connection frequency of the user in the use process of the Bluetooth headset, acquiring the connection coefficient Xi of the Bluetooth headset of the user through a formula, and comparing the connection coefficient Xi of the Bluetooth headset of the user with the connection coefficient threshold of the Bluetooth headset; if the connection coefficient Xi of the user is larger than or equal to the connection coefficient threshold of the Bluetooth headset, judging that the connection coefficient of the corresponding user is high, and marking the corresponding user as a priority user; the users are analyzed, the priority users are screened out, and the use quality of the users is improved.
The purpose of the invention can be realized by the following technical scheme:
a conversation bluetooth headset based on ENC noise reduction comprises a controller, wherein the controller is in communication connection with a connection analysis unit, a noise reduction analysis unit, a performance detection unit, an evaluation analysis unit, a registration login unit and a database;
the connection analysis unit is used for analyzing the connection information of the user, so that reasonable grade differentiation is performed on the user, the connection information of the user comprises time length data, time frequency data and frequency data, the time length data is the total time length for connecting the user and the corresponding Bluetooth headset, the time frequency data is the total connection time frequency of the user when the Bluetooth headset is used, the frequency data is the connection frequency of the user in the use process of the Bluetooth headset, the user is marked as i, i is 1, 2, … …, n and n is a positive integer, and the specific analysis and detection process is as follows:
step S1: acquiring the total connection time of a user and a corresponding Bluetooth headset, and marking the total connection time of the user and the corresponding Bluetooth headset as SCi;
step S2: acquiring the total connection times of a user when the Bluetooth headset is used, and marking the total connection times of the user when the Bluetooth headset is used as CSi;
step S3: acquiring the connection frequency of a user in the use process of the Bluetooth headset, and marking the connection frequency of the user in the use process of the Bluetooth headset as PLi;
step S4: by the formula
Acquiring a connection coefficient Xi of a Bluetooth headset of a user, wherein a1, a2 and a3 are all proportional coefficients, and a1 is greater than a2 is greater than a3 is greater than 0;
step S5: comparing the connection coefficient Xi of the user with the connection coefficient threshold of the Bluetooth headset:
if the connection coefficient Xi of the Bluetooth headset of the user is larger than or equal to the connection coefficient threshold of the Bluetooth headset, judging that the connection coefficient of the corresponding user is high, marking the corresponding user as a priority user, generating a priority connection signal and sending the priority connection signal and the corresponding priority user to a mobile phone terminal of a manager;
and if the connection coefficient Xi of the Bluetooth headset of the user is less than the threshold value of the connection coefficient of the Bluetooth headset, judging that the connection coefficient of the corresponding user is low, marking the corresponding user as a non-priority user, generating a non-priority connection signal and sending the non-priority connection signal and the corresponding non-priority user to a mobile phone terminal of a manager.
Further, the analysis of making an uproar unit of falling is used for the data of making an uproar of falling to bluetooth headset carries out the analysis to fall the detection of making an uproar to bluetooth headset, the data of making an uproar of falling of bluetooth headset is decibel data, long time data and fault data, decibel data are the decibel value difference of the audio frequency before and after the bluetooth headset makes an uproar, it is long for the interval that bluetooth headset received the audio frequency and made an uproar to fall long time, fault data are the number of times of failure of making an uproar in the bluetooth headset use, mark the bluetooth headset o, o is 1, 2, … …, m, m is positive integer, concrete analysis testing process as follows:
step SS 1: acquiring a decibel value difference value of the audio frequency of the Bluetooth headset before and after noise reduction, and marking the decibel value difference value of the audio frequency of the Bluetooth headset before and after noise reduction as CZo;
step SS 2: acquiring the interval duration from the time when the Bluetooth headset receives the audio to the time when the Bluetooth headset performs noise reduction, and marking the interval duration from the time when the Bluetooth headset receives the audio to the time when the Bluetooth headset performs noise reduction as SCo;
step SS 3: acquiring the failure times of noise reduction in the use process of the Bluetooth headset, and marking the failure times of noise reduction in the use process of the Bluetooth headset as CSo;
step SS 4: acquiring a noise reduction detection coefficient FXo of the bluetooth headset through a formula FXo ═ β (CZo × s1+ SCo × s2+ CSo × s3), wherein s1, s2 and s3 are proportional coefficients, s1 > s2 > s3 > 0, β is an error correction factor, and a value is 1.23654;
step SS 5: compare the noise reduction detection coefficient FXo of the bluetooth headset to a noise reduction detection coefficient threshold:
if the noise reduction detection coefficient FXo of the Bluetooth headset is not less than the noise reduction detection coefficient threshold, judging that the noise reduction detection of the corresponding Bluetooth headset is unqualified, generating a noise reduction abnormal signal and sending the noise reduction abnormal signal and the corresponding Bluetooth headset to a mobile phone terminal of a manager;
and if the noise reduction detection coefficient FXo of the Bluetooth headset is smaller than the noise reduction detection coefficient threshold value, judging that the noise reduction detection of the corresponding Bluetooth headset is qualified, generating a noise reduction normal signal and sending the noise reduction normal signal and the corresponding Bluetooth headset to the mobile phone terminal of the manager.
Further, the performance detection unit is used for analyzing the performance data of the bluetooth headset, so as to detect the performance of the bluetooth headset, the performance data of the bluetooth headset comprises endurance data, waterproof data and difference data, the endurance data is the longest service time of the bluetooth headset in a full power state, the waterproof data is the standard waterproof grade of the bluetooth headset, the difference data is a decibel value of the bluetooth headset during the use process, and the specific analysis and detection process is as follows:
step T1: acquiring the longest use time of the Bluetooth headset in a full-power state, and marking the longest use time of the Bluetooth headset in the full-power state as So;
step T2: acquiring a standard waterproof grade of the Bluetooth headset, and marking the standard waterproof grade of the Bluetooth headset as Fo;
step T3: acquiring a decibel value of the Bluetooth headset for reducing external noise in the using process, and marking the decibel value of the Bluetooth headset for reducing the external noise in the using process as Bo;
step T4: by the formula
Acquiring a performance detection coefficient Xo of the Bluetooth headset, wherein v1, v2 and v3 are proportional coefficients, v1 is greater than v2 is greater than v3 is greater than 0, and alpha is an error correction factor and is 2.30124;
step T5: comparing the performance detection coefficient Xo of the Bluetooth headset with a performance detection coefficient threshold value:
if the performance detection coefficient Xo of the Bluetooth headset is larger than or equal to the performance detection coefficient threshold value, judging that the performance detection of the corresponding Bluetooth headset is qualified, generating a performance detection normal signal and sending the performance detection normal signal and the corresponding Bluetooth headset to a mobile phone terminal of a user;
and if the performance detection coefficient Xo of the Bluetooth headset is less than the performance detection coefficient threshold value, judging that the performance detection of the corresponding Bluetooth headset is unqualified, generating a performance detection abnormal signal and sending the performance detection abnormal signal and the corresponding Bluetooth headset to the mobile phone terminal of the user.
Further, the evaluation analysis unit is configured to analyze evaluation data of the bluetooth headset, where the evaluation data of the bluetooth headset includes favorable evaluation data, growth data, and bad evaluation data, the favorable evaluation data is a number of favorable evaluation times that the bluetooth headset receives a user, the growth data is a number of growth that the bluetooth headset uses the user, and the bad evaluation data is a ratio of the number of bad evaluation times that the bluetooth headset receives to the total evaluation times, and a specific analysis process is as follows:
step TT 1: acquiring the number of times that the Bluetooth headset receives the favorable comments of the user, and marking the number of times that the Bluetooth headset receives the favorable comments of the user as HPo;
step TT 2: acquiring the increase number of users using the Bluetooth headset, and marking the increase number of the users using the Bluetooth headset as SLo;
step TT 3: acquiring the ratio of the number of bad evaluations received by the Bluetooth headset to the total number of evaluations, and marking the ratio of the number of bad evaluations received by the Bluetooth headset to the total number of evaluations as BZo;
step TT 4: by the formula
Obtaining an evaluation analysis coefficient PJo of the Bluetooth headset, wherein w1, w2 and w3 are proportional coefficients, w1 is more than w2 is more than w3 is more than 0, and e is a natural constant;
step TT 5: compare the bluetooth headset's evaluation analysis coefficient PJo to an evaluation analysis coefficient threshold:
if the evaluation analysis coefficient PJo of the Bluetooth headset is larger than or equal to the evaluation analysis coefficient threshold value, judging that the evaluation coefficient of the corresponding Bluetooth headset is high, marking the corresponding Bluetooth headset as a recommended headset, then generating a recommended signal and sending the recommended signal and the corresponding recommended headset to the mobile phone terminal of the user;
and if the evaluation analysis coefficient PJo of the Bluetooth headset is less than the evaluation analysis coefficient threshold value, judging that the evaluation coefficient of the corresponding Bluetooth headset is low, marking the corresponding Bluetooth headset as a non-recommended headset, then generating a non-recommended signal, and sending the non-recommended signal and the corresponding non-recommended headset to the mobile phone terminal of the user together.
Further, the registration login unit is used for the manager and the user to submit manager information and user information through the mobile phone terminal, and the manager information and the user information which are successfully registered are sent to the database to be stored, the manager information comprises the name, the age, the time of entry and the mobile phone number of the real name authentication of the person, and the user information comprises the name, the age and the mobile phone number of the real name authentication of the person.
Compared with the prior art, the invention has the beneficial effects that:
1. in the invention, the connection analysis unit is used for analyzing the connection information of the user, so that the reasonable grade differentiation is carried out on the user, and the specific analysis and detection process is as follows: acquiring the total connection time of a user and a corresponding Bluetooth headset, the total connection times of the user when the Bluetooth headset is used and the connection frequency of the user in the use process of the Bluetooth headset, acquiring the connection coefficient Xi of the Bluetooth headset of the user through a formula, and comparing the connection coefficient Xi of the Bluetooth headset of the user with the connection coefficient threshold of the Bluetooth headset; if the connection coefficient Xi of the user is larger than or equal to the connection coefficient threshold of the Bluetooth headset, judging that the connection coefficient of the corresponding user is high, and marking the corresponding user as a priority user; the users are analyzed, and priority users are screened out, so that the use quality of the users is improved;
2. in the invention, the noise reduction analysis unit is used for analyzing the noise reduction data of the Bluetooth headset, so that the noise reduction detection is carried out on the Bluetooth headset, and the specific analysis and detection process is as follows: acquiring a decibel value difference of audio before and after the noise reduction of the Bluetooth headset, the interval duration from the audio receiving of the Bluetooth headset to the noise reduction and the number of failure times of noise reduction in the use process of the Bluetooth headset, acquiring a noise reduction detection coefficient FXo of the Bluetooth headset through a formula, and comparing a noise reduction detection coefficient FXo of the Bluetooth headset with a noise reduction detection coefficient threshold; the noise reduction of the earphone is detected, so that the use quality of a user is improved, the eardrum of the user is prevented from being damaged due to overlarge volume of the earphone, and the safety and the practicability of the earphone are improved;
3. in the invention, the performance data of the Bluetooth headset is analyzed by the performance detection unit, so that the performance of the Bluetooth headset is detected, and the specific analysis and detection process is as follows: acquiring the longest use time of the Bluetooth headset in a full-power state, the standard waterproof grade of the Bluetooth headset and a decibel value of the Bluetooth headset for reducing external noise in the use process, acquiring a performance detection coefficient Xo of the Bluetooth headset through a formula, and comparing the performance detection coefficient Xo of the Bluetooth headset with a performance detection coefficient threshold; the earphone performance detection is carried out on the earphone, and then the recommendation is carried out on the user, so that the user selection time is reduced, and the matching reasonability of the earphone and the user is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an ENC noise reduction-based communication bluetooth headset includes a controller, which is in communication connection with a connection analysis unit, a noise reduction analysis unit, a performance detection unit, an evaluation analysis unit, a registration unit, and a database;
the registration login unit is used for submitting management personnel information and user information through a mobile phone terminal by a manager and a user, and sending the management personnel information and the user information which are successfully registered to the database for storage, wherein the management personnel information comprises the name, the age, the time of entry and the mobile phone number of real name authentication of the manager, and the user information comprises the name, the age and the mobile phone number of real name authentication of the user;
the connection analysis unit is used for analyzing the connection information of the user, so that reasonable grade differentiation is performed on the user, the connection information of the user comprises duration data, frequency data and frequency data, the duration data is the total duration of connection between the user and the corresponding Bluetooth headset, the frequency data is the total connection frequency of the user when the Bluetooth headset is used, the frequency data is the connection frequency of the user in the use process of the Bluetooth headset, the user is marked as i, i is 1, 2, … …, n and n is a positive integer, and the specific analysis and detection process is as follows:
step S1: acquiring the total connection time of a user and a corresponding Bluetooth headset, and marking the total connection time of the user and the corresponding Bluetooth headset as SCi;
step S2: acquiring the total connection times of a user when the Bluetooth headset is used, and marking the total connection times of the user when the Bluetooth headset is used as CSi;
step S3: acquiring the connection frequency of a user in the use process of the Bluetooth headset, and marking the connection frequency of the user in the use process of the Bluetooth headset as PLi;
step S4: by the formula
Acquiring a connection coefficient Xi of a Bluetooth headset of a user, wherein a1, a2 and a3 are all proportional coefficients, and a1 is greater than a2 is greater than a3 is greater than 0;
step S5: comparing the connection coefficient Xi of the user with the connection coefficient threshold of the Bluetooth headset:
if the connection coefficient Xi of the Bluetooth headset of the user is larger than or equal to the connection coefficient threshold of the Bluetooth headset, judging that the connection coefficient of the corresponding user is high, marking the corresponding user as a priority user, generating a priority connection signal and sending the priority connection signal and the corresponding priority user to a mobile phone terminal of a manager;
if the connection coefficient Xi of the Bluetooth headset of the user is less than the threshold value of the connection coefficient of the Bluetooth headset, judging that the connection coefficient of the corresponding user is low, marking the corresponding user as a non-priority user, generating a non-priority connection signal and sending the non-priority connection signal and the corresponding non-priority user to a mobile phone terminal of a manager;
the analysis element of making an uproar is used for the data of making an uproar to fall the detection of making an uproar to bluetooth headset, the data of making an uproar of bluetooth headset is decibel data, long time data and fault data, decibel data are the decibel value difference of the audio frequency before and after making an uproar of making an uproar for bluetooth headset, it is long to the interval of making an uproar to receive the audio frequency for bluetooth headset, fault data are the failure number of times of making an uproar in the bluetooth headset use, mark the bluetooth headset o, o is 1, 2, … …, m, m is positive integer, concrete analysis testing process is as follows:
step SS 1: acquiring a decibel value difference value of the audio frequency of the Bluetooth headset before and after noise reduction, and marking the decibel value difference value of the audio frequency of the Bluetooth headset before and after noise reduction as CZo;
step SS 2: acquiring the interval duration from the time when the Bluetooth headset receives the audio to the time when the Bluetooth headset performs noise reduction, and marking the interval duration from the time when the Bluetooth headset receives the audio to the time when the Bluetooth headset performs noise reduction as SCo;
step SS 3: acquiring the failure times of noise reduction in the use process of the Bluetooth headset, and marking the failure times of noise reduction in the use process of the Bluetooth headset as CSo;
step SS 4: acquiring a noise reduction detection coefficient FXo of the bluetooth headset through a formula FXo ═ β (CZo × s1+ SCo × s2+ CSo × s3), wherein s1, s2 and s3 are proportional coefficients, s1 > s2 > s3 > 0, β is an error correction factor, and a value is 1.23654;
step SS 5: compare the noise reduction detection coefficient FXo of the bluetooth headset to a noise reduction detection coefficient threshold:
if the noise reduction detection coefficient FXo of the Bluetooth headset is not less than the noise reduction detection coefficient threshold, judging that the noise reduction detection of the corresponding Bluetooth headset is unqualified, generating a noise reduction abnormal signal and sending the noise reduction abnormal signal and the corresponding Bluetooth headset to a mobile phone terminal of a manager;
if the noise reduction detection coefficient FXo of the Bluetooth headset is smaller than the noise reduction detection coefficient threshold value, judging that the noise reduction detection of the corresponding Bluetooth headset is qualified, generating a noise reduction normal signal and sending the noise reduction normal signal and the corresponding Bluetooth headset to a mobile phone terminal of a manager;
the performance detecting unit is used for analyzing the performance data of the Bluetooth headset, so that the performance of the Bluetooth headset is detected, the performance data of the Bluetooth headset comprises endurance data, waterproof data and difference data, the endurance data is the longest service time of the Bluetooth headset in a full-power state, the waterproof data is the standard waterproof grade of the Bluetooth headset, the difference data is the decibel value of the Bluetooth headset, which reduces external noise in the using process, and the specific analysis and detection process is as follows:
step T1: acquiring the longest use time of the Bluetooth headset in a full-power state, and marking the longest use time of the Bluetooth headset in the full-power state as So;
step T2: acquiring a standard waterproof grade of the Bluetooth headset, and marking the standard waterproof grade of the Bluetooth headset as Fo;
step T3: acquiring a decibel value of the Bluetooth headset for reducing external noise in the using process, and marking the decibel value of the Bluetooth headset for reducing the external noise in the using process as Bo;
step T4: by the formula
Acquiring a performance detection coefficient Xo of the Bluetooth headset, wherein v1, v2 and v3 are proportional coefficients, v1 is greater than v2 is greater than v3 is greater than 0, and alpha is an error correction factor and is 2.30124;
step T5: comparing the performance detection coefficient Xo of the Bluetooth headset with a performance detection coefficient threshold value:
if the performance detection coefficient Xo of the Bluetooth headset is larger than or equal to the performance detection coefficient threshold value, judging that the performance detection of the corresponding Bluetooth headset is qualified, generating a performance detection normal signal and sending the performance detection normal signal and the corresponding Bluetooth headset to a mobile phone terminal of a user;
if the performance detection coefficient Xo of the Bluetooth headset is smaller than the performance detection coefficient threshold value, judging that the performance detection of the corresponding Bluetooth headset is unqualified, generating a performance detection abnormal signal and sending the performance detection abnormal signal and the corresponding Bluetooth headset to a mobile phone terminal of a user;
the evaluation analysis unit is used for analyzing evaluation data of the Bluetooth headset, the evaluation data of the Bluetooth headset comprises favorable evaluation data, growth data and bad evaluation data, the favorable evaluation data are the favorable evaluation times of the Bluetooth headset receiving users, the growth data are the growth numbers of the users using the Bluetooth headset, the bad evaluation data are the ratio of the bad evaluation times of the Bluetooth headset receiving users to the total evaluation times, and the specific analysis process is as follows:
step TT 1: acquiring the number of times that the Bluetooth headset receives the favorable comments of the user, and marking the number of times that the Bluetooth headset receives the favorable comments of the user as HPo;
step TT 2: acquiring the increase number of users using the Bluetooth headset, and marking the increase number of the users using the Bluetooth headset as SLo;
step TT 3: acquiring the ratio of the number of bad evaluations received by the Bluetooth headset to the total number of evaluations, and marking the ratio of the number of bad evaluations received by the Bluetooth headset to the total number of evaluations as BZo;
step TT 4: by the formula
Obtaining an evaluation analysis coefficient PJo of the Bluetooth headset, wherein w1, w2 and w3 are proportional coefficients, w1 is more than w2 is more than w3 is more than 0, and e is a natural constant;
step TT 5: compare the bluetooth headset's evaluation analysis coefficient PJo to an evaluation analysis coefficient threshold:
if the evaluation analysis coefficient PJo of the Bluetooth headset is larger than or equal to the evaluation analysis coefficient threshold value, judging that the evaluation coefficient of the corresponding Bluetooth headset is high, marking the corresponding Bluetooth headset as a recommended headset, then generating a recommended signal and sending the recommended signal and the corresponding recommended headset to the mobile phone terminal of the user;
and if the evaluation analysis coefficient PJo of the Bluetooth headset is less than the evaluation analysis coefficient threshold value, judging that the evaluation coefficient of the corresponding Bluetooth headset is low, marking the corresponding Bluetooth headset as a non-recommended headset, then generating a non-recommended signal, and sending the non-recommended signal and the corresponding non-recommended headset to the mobile phone terminal of the user together.
The working principle of the invention is as follows:
the utility model provides a conversation bluetooth headset based on ENC falls and makes an uproar, at the during operation, analyzes user's connection information through connection analysis unit to carry out reasonable grade differentiation to the user, concrete analysis testing process as follows: acquiring the total connection time of a user and a corresponding Bluetooth headset, the total connection times of the user when the Bluetooth headset is used and the connection frequency of the user in the use process of the Bluetooth headset, acquiring the connection coefficient Xi of the Bluetooth headset of the user through a formula, and comparing the connection coefficient Xi of the Bluetooth headset of the user with the connection coefficient threshold of the Bluetooth headset; the users are analyzed, and priority users are screened out, so that the use quality of the users is improved;
the noise reduction data of the Bluetooth headset is analyzed through the noise reduction analysis unit, so that noise reduction detection is performed on the Bluetooth headset, and the specific analysis and detection process is as follows: acquiring a decibel value difference of audio before and after the noise reduction of the Bluetooth headset, the interval duration from the audio receiving of the Bluetooth headset to the noise reduction and the number of failure times of noise reduction in the use process of the Bluetooth headset, acquiring a noise reduction detection coefficient FXo of the Bluetooth headset through a formula, and comparing a noise reduction detection coefficient FXo of the Bluetooth headset with a noise reduction detection coefficient threshold; the noise reduction of the earphone is detected, so that the use quality of a user is improved, the eardrum of the user is prevented from being damaged due to overlarge volume of the earphone, and the safety and the practicability of the earphone are improved;
the performance data of the Bluetooth headset is analyzed through the performance detection unit, so that the performance of the Bluetooth headset is detected, and the specific analysis and detection process is as follows: acquiring the longest use time of the Bluetooth headset in a full-power state, the standard waterproof grade of the Bluetooth headset and a decibel value of the Bluetooth headset for reducing external noise in the use process, acquiring a performance detection coefficient Xo of the Bluetooth headset through a formula, and comparing the performance detection coefficient Xo of the Bluetooth headset with a performance detection coefficient threshold; the earphone performance detection is carried out on the earphone, and then the recommendation is carried out on the user, so that the user selection time is reduced, and the matching reasonability of the earphone and the user is improved.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (4)
1. A conversation Bluetooth headset based on ENC noise reduction is characterized by comprising a controller, wherein the controller is in communication connection with a connection analysis unit, a noise reduction analysis unit, a performance detection unit, an evaluation analysis unit, a registration unit and a database;
the connection analysis unit is used for analyzing the connection information of the user so as to perform reasonable grade differentiation on the user, and the specific analysis and detection process is as follows: acquiring the total connection time of a user and a corresponding Bluetooth headset, the total connection times of the user when the Bluetooth headset is used and the connection frequency of the user in the use process of the Bluetooth headset, acquiring the connection coefficient Xi of the Bluetooth headset of the user through a formula, and comparing the connection coefficient Xi of the Bluetooth headset of the user with the connection coefficient threshold of the Bluetooth headset:
if the connection coefficient Xi of the Bluetooth headset of the user is larger than or equal to the connection coefficient threshold of the Bluetooth headset, judging that the connection coefficient of the corresponding user is high, marking the corresponding user as a priority user, generating a priority connection signal and sending the priority connection signal and the corresponding priority user to a mobile phone terminal of a manager;
and if the connection coefficient Xi of the Bluetooth headset of the user is less than the threshold value of the connection coefficient of the Bluetooth headset, judging that the connection coefficient of the corresponding user is low, marking the corresponding user as a non-priority user, generating a non-priority connection signal and sending the non-priority connection signal and the corresponding non-priority user to a mobile phone terminal of a manager.
2. The ENC noise reduction-based talking Bluetooth headset of claim 1, wherein the noise reduction analysis unit is configured to analyze noise reduction data of the Bluetooth headset, so as to perform noise reduction detection on the Bluetooth headset, and the specific analysis and detection process is as follows: the method comprises the steps of obtaining a decibel value difference value of audio before and after the noise reduction of a Bluetooth headset is carried out, the time interval from the time when the Bluetooth headset receives the audio to the time when the noise reduction is carried out and the failure times of noise reduction in the use process of the Bluetooth headset, obtaining a noise reduction detection coefficient FXo of the Bluetooth headset through a formula, and comparing a noise reduction detection coefficient FXo of the Bluetooth headset with a noise reduction detection coefficient threshold value:
if the noise reduction detection coefficient FXo of the Bluetooth headset is not less than the noise reduction detection coefficient threshold, judging that the noise reduction detection of the corresponding Bluetooth headset is unqualified, generating a noise reduction abnormal signal and sending the noise reduction abnormal signal and the corresponding Bluetooth headset to a mobile phone terminal of a manager;
and if the noise reduction detection coefficient FXo of the Bluetooth headset is smaller than the noise reduction detection coefficient threshold value, judging that the noise reduction detection of the corresponding Bluetooth headset is qualified, generating a noise reduction normal signal and sending the noise reduction normal signal and the corresponding Bluetooth headset to the mobile phone terminal of the manager.
3. The ENC noise reduction-based call Bluetooth headset of claim 1, wherein the performance detection unit is configured to analyze performance data of the Bluetooth headset, so as to detect the performance of the Bluetooth headset, and the specific analysis and detection process is as follows: the method comprises the following steps of obtaining the longest using time of the Bluetooth headset in a full-power state, the standard waterproof grade of the Bluetooth headset and the decibel value of the Bluetooth headset for reducing external noise in the using process, obtaining a performance detection coefficient Xo of the Bluetooth headset through a formula, and comparing the performance detection coefficient Xo of the Bluetooth headset with a performance detection coefficient threshold value:
if the performance detection coefficient Xo of the Bluetooth headset is larger than or equal to the performance detection coefficient threshold value, judging that the performance detection of the corresponding Bluetooth headset is qualified, generating a performance detection normal signal and sending the performance detection normal signal and the corresponding Bluetooth headset to a mobile phone terminal of a user;
and if the performance detection coefficient Xo of the Bluetooth headset is less than the performance detection coefficient threshold value, judging that the performance detection of the corresponding Bluetooth headset is unqualified, generating a performance detection abnormal signal and sending the performance detection abnormal signal and the corresponding Bluetooth headset to the mobile phone terminal of the user.
4. The ENC noise reduction-based call Bluetooth headset of claim 1, wherein the evaluation analysis unit is configured to analyze evaluation data of the Bluetooth headset, and the specific analysis process is as follows: the method comprises the steps of obtaining the number of times of receiving good comments of a user by the Bluetooth headset, the number of the users using the Bluetooth headset and the ratio of the number of times of receiving bad comments to the total number of times of evaluating the Bluetooth headset, obtaining an evaluation analysis coefficient PJo of the Bluetooth headset through a formula, and comparing an evaluation analysis coefficient PJo of the Bluetooth headset with an evaluation analysis coefficient threshold value.
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