CN113242486A - Bluetooth headset who makes an uproar falls in initiative - Google Patents
Bluetooth headset who makes an uproar falls in initiative Download PDFInfo
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- CN113242486A CN113242486A CN202110497682.1A CN202110497682A CN113242486A CN 113242486 A CN113242486 A CN 113242486A CN 202110497682 A CN202110497682 A CN 202110497682A CN 113242486 A CN113242486 A CN 113242486A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R1/00—Details of transducers, loudspeakers or microphones
- H04R1/10—Earpieces; Attachments therefor ; Earphones; Monophonic headphones
- H04R1/1083—Reduction of ambient noise
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B5/00—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied
- G08B5/22—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission
- G08B5/36—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission using visible light sources
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
- H02J7/0048—Detection of remaining charge capacity or state of charge [SOC]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R1/00—Details of transducers, loudspeakers or microphones
- H04R1/10—Earpieces; Attachments therefor ; Earphones; Monophonic headphones
- H04R1/1025—Accumulators or arrangements for charging
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention belongs to the field of earphones, relates to a Bluetooth earphone technology, and particularly relates to an active noise reduction Bluetooth earphone which comprises a processor, wherein the processor is in communication connection with a data management module, a endurance analysis module, a service life prediction module controller and a display module; the endurance analysis module is used for analyzing and predicting the endurance time of the power supply of the earphone, and the specific analysis and prediction process comprises the following steps: step S1: acquiring the residual electric quantity of the power supply, acquiring the consumed electric quantity of the power supply within the last T days, and marking the consumed electric quantity of the power supply within the last T days as XD, wherein T is a positive integer; step S2: the method comprises the steps of obtaining a predicted time length YS of a power supply through a formula, obtaining a time length threshold YSmin of the power supply through a storage module, and comparing the predicted time length YS of the power supply with the time length threshold YSmin. According to the invention, the endurance time of the power supply of the earphone is analyzed and predicted through the endurance analysis module, so that the user is reminded that the power supply is seriously insufficient in electric quantity.
Description
Technical Field
The invention belongs to the field of earphones, relates to a Bluetooth earphone technology, and particularly relates to an active noise reduction Bluetooth earphone.
Background
The Bluetooth earphone is the Bluetooth technology applied to the hands-free earphone, so that a user can avoid the trouble of wires and can easily talk freely in various modes.
The invention with the publication number of CN108322839B discloses an external device with a Bluetooth headset charging function and a Bluetooth headset system, comprising a main control chip CPU, an energy storage element and a Bluetooth module which are respectively and electrically connected with the main control chip CPU, and an input/output interface which is electrically connected with the energy storage element, wherein the main control chip CPU is electrically connected with the energy storage element and controls the energy storage element to charge the Bluetooth headset, the input/output interface is a charging/discharging interface which is respectively matched with an external power supply and the Bluetooth headset, the Bluetooth module is in wireless communication with an external electronic terminal and/or the Bluetooth headset under the control of the main control chip CPU, thereby additionally providing a special energy storage element besides a battery of the Bluetooth headset, greatly improving the endurance of the Bluetooth headset, and the main control chip CPU can be used for decoding and recoding voice, the power consumption of the Bluetooth headset can be greatly reduced, and the cruising ability of the Bluetooth headset is further improved.
However, the external device with the bluetooth headset charging function and the bluetooth headset system do not have a endurance analysis and prediction function, do not predict the use time of the remaining electric quantity of the headset, and cannot remind a user to charge the bluetooth headset in advance; although some current bluetooth headsets have a cruising analysis function, the cruising function can only directly analyze and predict cruising time according to the residual electric quantity of the battery, but cannot predict cruising according to the recent use habit of the user, and the accuracy of the prediction result is low.
Disclosure of Invention
The invention aims to provide an active noise reduction Bluetooth headset, which is used for solving the problems that the endurance time of the existing Bluetooth headset can be directly analyzed and predicted only by aiming at the residual electric quantity of a battery, the endurance prediction cannot be carried out according to the recent use habit of a user, and the accuracy of a prediction result is low;
the technical problems to be solved by the invention are as follows: how to provide an active noise reduction Bluetooth headset which can accurately predict the endurance time of a Bluetooth headset power supply.
The purpose of the invention can be realized by the following technical scheme:
an active noise reduction Bluetooth headset comprises a processor, wherein the processor is in communication connection with a data management module, a endurance analysis module, a service life prediction module controller and a display module;
the display module comprises a green signal lamp, a yellow signal lamp and a red signal lamp which are arranged on the shell of the Bluetooth headset, and the green signal lamp, the yellow signal lamp and the red signal lamp are electrically connected with the output end of the controller;
the endurance analysis module is used for analyzing and predicting the endurance time of the power supply of the earphone, and the specific analysis and prediction process comprises the following steps:
step S1: acquiring the residual electric quantity of the power supply, marking the residual electric quantity of the power supply as SD, acquiring the consumed electric quantity of the power supply within the last T days, marking the consumed electric quantity of the power supply within the last T days as XD, and marking T as a positive integer;
step S2: by the formula
Obtaining the predicted time length YS of the power supply, obtaining a time length threshold YSmin of the power supply through a storage module, and comparing the predicted time length YS of the power supply with the time length threshold YSmin:
if YS is greater than YSmin, judging that the power supply is abundant in electric quantity, sending an abundant-electric-quantity signal to a processor by a cruising analysis module, sending the abundant-electric-quantity signal to a controller after the processor receives the abundant-electric-quantity signal, and controlling a green signal lamp to light after the controller receives the abundant-electric-quantity signal;
if YS is less than or equal to YSmin, judging that the electric quantity of the power supply is insufficient, sending a charging signal to the processor by the endurance analysis module, sending the charging signal to the controller after the processor receives the charging signal, and controlling the yellow signal lamp to light after the controller receives the charging signal;
step S3: acquiring a residual electric quantity threshold value through a storage module, marking the residual electric quantity threshold value as SDmin, and comparing the residual electric quantity SD of the power supply with the residual electric quantity threshold value SDmin:
if SD is greater than SDmin, the power supply state is judged to be a safe use state, and the endurance analysis module sends a safe use signal to the processor;
if SD is less than or equal to SDmin, the power supply state is judged to be a dangerous use state, the endurance analysis module sends a dangerous use signal to the processor, the processor sends the dangerous use signal to the controller after receiving the dangerous use signal, the controller controls the purple signal lamp to be turned on after receiving the dangerous use signal, meanwhile, the controller controls the power supply of the Bluetooth headset to be turned off after L minutes, and L is a positive integer;
step S4: the yellow signal lamp and the purple signal lamp are used for reminding the user of charging, and after the user finishes charging, the numerical value of the charging times of the storage module is increased by one.
Further, the life prediction module is used for performing prediction analysis on the service life of the power supply, and the specific prediction analysis process comprises the following steps:
step P1: acquiring the electric quantity when the power supply is fully charged, marking the electric quantity when the power supply is fully charged as MD, acquiring the electric quantity threshold value when the power supply is fully charged through a storage module, and marking the electric quantity threshold value as MDmin;
step P2: comparing the electric quantity MD when the power supply is fully charged with an electric quantity threshold value MDmin:
if MD is greater than MDmin, the service state of the power supply is judged to be a scrapped state, and the service life prediction module sends a scrapped signal to the processor;
if MD is less than or equal to MDmin, the service state of the power supply is judged to be a normal state, and the service life prediction module sends a normal signal to the processor for next detection;
step P3: the method comprises the steps that the electric quantity of the Bluetooth headset when the Bluetooth headset leaves a factory is acquired through a storage module, the electric quantity of the Bluetooth headset when the Bluetooth headset leaves the factory is marked as CD, the service life of the Bluetooth headset is acquired, the service life of the Bluetooth headset is marked as SC, the charging frequency of the Bluetooth headset is acquired, and the charging frequency of the Bluetooth headset is marked as CC;
step P4: by the formula
Obtaining a state coefficient ZTX of the power supply, wherein alpha 1, alpha 2 and alpha 3 are proportionality coefficients, e is a natural constant, and the value of e is 2.71828;
step P5: obtaining a state coefficient threshold ZTmax through a storage module, and comparing the state coefficient ZTx of the power supply with the state coefficient threshold ZTmax:
if the ZTX is not more than ZTmax, the power supply is judged to meet the use requirement, and the service life prediction module sends a power supply qualified signal to the processor;
if the ZTX is greater than ZTmax, judging that the power supply does not meet the use requirement, and sending a disqualified power supply signal to the processor by the service life prediction module;
further, the data management module is configured to manage data stored in the storage module, and a specific management process of the data management module includes the following steps:
step Q1: marking the data in the storage module as processing data, acquiring the time length from the last time of calling the processing data to the current time, and marking the time length as waiting time length;
step Q2: acquiring a waiting time threshold, and comparing the waiting time with the waiting time threshold one by one:
if the waiting time length is less than the waiting time length threshold value, judging that the corresponding processing data are valid data;
if the waiting time is longer than or equal to the waiting time threshold, judging that the corresponding processing data is invalid data, and deleting the invalid data in the storage module by the data processing module;
step Q3: marking the valid data as i, i is 1, 2, … …, n, acquiring the calling times of the valid data and marking the calling times as DCi, acquiring the total called duration of the valid data and marking the total called duration as DSi, and marking the waiting duration of the valid data as DDi;
step Q4: by the formula
Obtaining a mass coefficient ZLi of the effective data, wherein beta 1, beta 2 and beta 3 are all ratiosExample coefficient, k is a correction factor;
step Q5: acquiring a quality coefficient threshold of the effective data and marking the quality coefficient threshold as ZLmin, and comparing the quality coefficient ZLi of the effective data with the quality coefficient threshold ZLmin:
if ZLi < ZLmin, the effective data is judged to be low-quality data, and the next step is carried out;
if ZLi is larger than or equal to ZLmin, the effective data is judged to be high-quality data;
step Q6: acquiring the times of low-quality data being called in the latest U day, marking the times of low-quality data being called in the latest U day as DQi, acquiring the times threshold of low-quality data being called in the latest U day, and marking the times threshold of low-quality data being called in the latest U day as DQmin;
step Q7: and comparing the times DQi of the low-quality data called in the last U days with a time threshold DQmin in sequence:
if the DQi is not more than the DQmin, judging that the corresponding low-quality data does not meet the storage standard, and deleting the corresponding low-quality data from the storage module by the data management module;
and if DQ is greater than DQmin, judging that the corresponding low-quality data meets the storage standard.
Further, the use method of the active noise reduction Bluetooth headset comprises the following steps:
the method comprises the following steps: analyzing and predicting the power supply endurance time of the earphone through an endurance analysis module, calculating the predicted time length of the power supply through the residual electric quantity of the power supply and the electric quantity consumed by the power supply in the latest T days, analyzing the recent use habit of the user on the Bluetooth earphone through the electric quantity consumed by the power supply in the latest T days, predicting the recent use habit of the user on the Bluetooth earphone, improving the accuracy of the endurance analysis of the power supply, and controlling a yellow signal lamp to light when the power supply is insufficient to remind the user to charge the power supply as soon as possible;
step two: the method comprises the steps that a residual electric quantity threshold value is obtained through a storage module, the residual electric quantity is compared with the residual electric quantity threshold value, when the power supply state is a dangerous use state, a controller is used for controlling a yellow signal lamp to light up, and a user is reminded that the power supply is seriously insufficient in electric quantity and needs to charge a power supply of the Bluetooth headset quickly;
step three: the method comprises the steps that the residual life of the Bluetooth headset is predicted and analyzed through a life prediction module, the state coefficient of the power supply is obtained through calculation of the current power supply full charge electric quantity, the power supply electric quantity when leaving a factory, the service life of the power supply and the charging times, the state coefficient of the power supply is compared with a state coefficient threshold value to obtain the life state of the power supply, and when the state coefficient is larger than the state coefficient threshold value, the condition that the power supply life does not meet requirements is judged;
step four: the data management module is used for analyzing and managing the data of the storage module, calculating the calling times, calling duration and waiting duration of the data to obtain a quality coefficient of the data, comparing the quality coefficient with a quality coefficient threshold value to judge the quality of the data, and deleting the data which do not meet the storage standard from the storage module.
The invention has the following beneficial effects:
1. the duration of the power supply of the earphone is analyzed and predicted through the duration analysis module, the predicted duration of the power supply is obtained through calculation according to the remaining power of the power supply and the power consumption of the power supply in the latest T days, the usage habit of a user on the Bluetooth earphone in the latest T days is analyzed through the power consumption of the power supply, the duration of the power supply is predicted according to the usage habit of the Bluetooth earphone in the latest T days, the accuracy of the duration analysis of the power supply is improved, the yellow signal lamp is controlled to be lightened when the power supply is not abundant, the user is reminded of charging the power supply as soon as possible, the remaining power threshold is obtained through the storage module, the remaining power is compared with the remaining power threshold, the yellow signal lamp is controlled to be lightened through the controller when the power supply state is in a dangerous usage state, and the user is reminded of serious shortage of the power supply, the power supply of the Bluetooth headset needs to be charged quickly;
2. the method comprises the steps that the residual life of the Bluetooth headset is predicted and analyzed through a life prediction module, the state coefficient of the power supply is obtained through calculation of the current power supply full charge electric quantity, the power supply electric quantity when leaving a factory, the service life of the power supply and the charging times, the state coefficient of the power supply is compared with a state coefficient threshold value to obtain the life state of the power supply, and when the state coefficient is larger than the state coefficient threshold value, the condition that the power supply life does not meet requirements is judged;
3. the data management module is used for analyzing and managing the data of the storage module, calculating the calling times, calling duration and waiting duration of the data to obtain a quality coefficient of the data, comparing the quality coefficient with a quality coefficient threshold value to judge the quality of the data, and deleting the data which do not meet the storage standard from the storage module.
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 active noise reduction bluetooth headset includes a processor, which is in communication connection with a data management module, a endurance analysis module, a life prediction module controller, and a display module;
the display module comprises a green signal lamp, a yellow signal lamp and a red signal lamp which are arranged on the shell of the Bluetooth headset, and the green signal lamp, the yellow signal lamp and the red signal lamp are electrically connected with the output end of the controller;
the endurance analysis module is used for analyzing and predicting the endurance time of the power supply of the earphone, and the specific analysis and prediction process comprises the following steps:
step S1: acquiring the residual electric quantity of the power supply, marking the residual electric quantity of the power supply as SD, acquiring the consumed electric quantity of the power supply within the last T days, marking the consumed electric quantity of the power supply within the last T days as XD, and marking T as a positive integer;
step S2: by the formula
Obtaining the predicted time length YS of the power supply, obtaining a time length threshold YSmin of the power supply through a storage module, and comparing the predicted time length YS of the power supply with the time length threshold YSmin:
if YS is greater than YSmin, judging that the power supply is abundant in electric quantity, sending an abundant-electric-quantity signal to a processor by a cruising analysis module, sending the abundant-electric-quantity signal to a controller after the processor receives the abundant-electric-quantity signal, and controlling a green signal lamp to light after the controller receives the abundant-electric-quantity signal;
if YS is less than or equal to YSmin, judging that the electric quantity of the power supply is insufficient, sending a charging signal to the processor by the endurance analysis module, sending the charging signal to the controller after the processor receives the charging signal, and controlling the yellow signal lamp to light after the controller receives the charging signal;
step S3: acquiring a residual electric quantity threshold value through a storage module, marking the residual electric quantity threshold value as SDmin, and comparing the residual electric quantity SD of the power supply with the residual electric quantity threshold value SDmin:
if SD is greater than SDmin, the power supply state is judged to be a safe use state, and the endurance analysis module sends a safe use signal to the processor;
if SD is less than or equal to SDmin, the power supply state is judged to be a dangerous use state, the endurance analysis module sends a dangerous use signal to the processor, the processor sends the dangerous use signal to the controller after receiving the dangerous use signal, the controller controls the purple signal lamp to be turned on after receiving the dangerous use signal, meanwhile, the controller controls the power supply of the Bluetooth headset to be turned off after L minutes, and L is a positive integer;
step S4: the yellow signal lamp and the purple signal lamp are used for reminding the user of charging, and after the user finishes charging, the numerical value of the charging times of the storage module is increased by one.
The service life prediction module is used for performing prediction analysis on the service life of the power supply, and the specific prediction analysis process comprises the following steps:
step P1: acquiring the electric quantity when the power supply is fully charged, marking the electric quantity when the power supply is fully charged as MD, acquiring the electric quantity threshold value when the power supply is fully charged through a storage module, and marking the electric quantity threshold value as MDmin;
step P2: comparing the electric quantity MD when the power supply is fully charged with an electric quantity threshold value MDmin:
if MD is greater than MDmin, the service state of the power supply is judged to be a scrapped state, and the service life prediction module sends a scrapped signal to the processor;
if MD is less than or equal to MDmin, the service state of the power supply is judged to be a normal state, and the service life prediction module sends a normal signal to the processor for next detection;
step P3: the method comprises the steps that the electric quantity of the Bluetooth headset when the Bluetooth headset leaves a factory is acquired through a storage module, the electric quantity of the Bluetooth headset when the Bluetooth headset leaves the factory is marked as CD, the service life of the Bluetooth headset is acquired, the service life of the Bluetooth headset is marked as SC, the charging frequency of the Bluetooth headset is acquired, and the charging frequency of the Bluetooth headset is marked as CC;
step P4: by the formula
Obtaining a state coefficient ZTX of the power supply, wherein alpha 1, alpha 2 and alpha 3 are proportionality coefficients, e is a natural constant, and the value of e is 2.71828;
step P5: obtaining a state coefficient threshold ZTmax through a storage module, and comparing the state coefficient ZTx of the power supply with the state coefficient threshold ZTmax:
if the ZTX is not more than ZTmax, the power supply is judged to meet the use requirement, and the service life prediction module sends a power supply qualified signal to the processor;
if the ZTX is greater than ZTmax, judging that the power supply does not meet the use requirement, and sending a disqualified power supply signal to the processor by the service life prediction module;
the data management module is used for managing the data stored in the storage module, and the specific management process of the data management module comprises the following steps:
step Q1: marking the data in the storage module as processing data, acquiring the time length from the last time of calling the processing data to the current time, and marking the time length as waiting time length;
step Q2: acquiring a waiting time threshold, and comparing the waiting time with the waiting time threshold one by one:
if the waiting time length is less than the waiting time length threshold value, judging that the corresponding processing data are valid data;
if the waiting time is longer than or equal to the waiting time threshold, judging that the corresponding processing data is invalid data, and deleting the invalid data in the storage module by the data processing module;
step Q3: marking the valid data as i, i is 1, 2, … …, n, acquiring the calling times of the valid data and marking the calling times as DCi, acquiring the total called duration of the valid data and marking the total called duration as DSi, and marking the waiting duration of the valid data as DDi;
step Q4: by the formula
Obtaining a mass coefficient ZLi of the valid data, where β 1, β 2, and β 3 are all proportionality coefficients, and k is a correction factor;
step Q5: acquiring a quality coefficient threshold of the effective data and marking the quality coefficient threshold as ZLmin, and comparing the quality coefficient ZLi of the effective data with the quality coefficient threshold ZLmin:
if ZLi < ZLmin, the effective data is judged to be low-quality data, and the next step is carried out;
if ZLi is larger than or equal to ZLmin, the effective data is judged to be high-quality data;
step Q6: acquiring the times of low-quality data being called in the latest U day, marking the times of low-quality data being called in the latest U day as DQi, acquiring the times threshold of low-quality data being called in the latest U day, and marking the times threshold of low-quality data being called in the latest U day as DQmin;
step Q7: and comparing the times DQi of the low-quality data called in the last U days with a time threshold DQmin in sequence:
if the DQi is not more than the DQmin, judging that the corresponding low-quality data does not meet the storage standard, and deleting the corresponding low-quality data from the storage module by the data management module;
and if DQ is greater than DQmin, judging that the corresponding low-quality data meets the storage standard.
A use method of an active noise reduction Bluetooth headset comprises the following steps:
the method comprises the following steps: analyzing and predicting the power supply endurance time of the earphone through an endurance analysis module, calculating the predicted time length of the power supply through the residual electric quantity of the power supply and the electric quantity consumed by the power supply in the latest T days, analyzing the recent use habit of the user on the Bluetooth earphone through the electric quantity consumed by the power supply in the latest T days, predicting the recent use habit of the user on the Bluetooth earphone, improving the accuracy of the endurance analysis of the power supply, and controlling a yellow signal lamp to light when the power supply is insufficient to remind the user to charge the power supply as soon as possible;
step two: the method comprises the steps that a residual electric quantity threshold value is obtained through a storage module, the residual electric quantity is compared with the residual electric quantity threshold value, when the power supply state is a dangerous use state, a controller is used for controlling a yellow signal lamp to light up, and a user is reminded that the power supply is seriously insufficient in electric quantity and needs to charge a power supply of the Bluetooth headset quickly;
step three: the method comprises the steps that the residual life of the Bluetooth headset is predicted and analyzed through a life prediction module, the state coefficient of the power supply is obtained through calculation of the current power supply full charge electric quantity, the power supply electric quantity when leaving a factory, the service life of the power supply and the charging times, the state coefficient of the power supply is compared with a state coefficient threshold value to obtain the life state of the power supply, and when the state coefficient is larger than the state coefficient threshold value, the condition that the power supply life does not meet requirements is judged;
step four: the data management module is used for analyzing and managing the data of the storage module, calculating the calling times, calling duration and waiting duration of the data to obtain a quality coefficient of the data, comparing the quality coefficient with a quality coefficient threshold value to judge the quality of the data, and deleting the data which do not meet the storage standard from the storage module.
A bluetooth headset with active noise reduction function analyzes and predicts the power supply endurance time of the headset through an endurance analysis module, the predicted time of the power supply is obtained through calculation according to the residual electric quantity of the power supply and the electric quantity consumed by the power supply in the latest T days, the predicted time is the time of the power supply which is predicted to be continuously used, the recent use habit of a user on the bluetooth headset is analyzed according to the electric quantity consumed by the power supply in the latest T days, the recent use habit of the power supply is predicted according to the recent use habit of the user on the bluetooth headset, the accuracy of the power supply endurance analysis is improved, and a yellow signal lamp is controlled to be on when the power supply is not sufficient, so that the user is reminded to charge the power supply as soon as possible; the method comprises the steps that a residual electric quantity threshold value is obtained through a storage module, the residual electric quantity is compared with the residual electric quantity threshold value, when the power supply state is a dangerous use state, a controller is used for controlling a yellow signal lamp to light up, and a user is reminded that the power supply is seriously insufficient in electric quantity and needs to charge a power supply of the Bluetooth headset quickly; the method comprises the steps that the residual life of the Bluetooth headset is predicted and analyzed through a life prediction module, the state coefficient of the power supply is obtained through calculation of the current power supply full charge electric quantity, the power supply electric quantity when leaving a factory, the service life of the power supply and the charging times, the state coefficient of the power supply is compared with a state coefficient threshold value to obtain the life state of the power supply, and when the state coefficient is larger than the state coefficient threshold value, the condition that the power supply life does not meet requirements is judged; the data management module is used for analyzing and managing the data of the storage module, calculating the calling times, calling duration and waiting duration of the data to obtain a quality coefficient of the data, comparing the quality coefficient with a quality coefficient threshold value to judge the quality of the data, and deleting the data which do not meet the storage standard from the storage module.
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.
The above formulas are all numerical values obtained by normalization processing, the formula is a formula obtained by acquiring a large amount of data and performing software simulation to obtain the latest real situation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
The specific meanings of the above terms in the present invention can be understood in specific cases by those skilled in the art; the preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (4)
1. The active noise reduction Bluetooth headset is characterized by comprising a processor, wherein the processor is in communication connection with a data management module, a endurance analysis module, a service life prediction module controller and a display module;
the endurance analysis module is used for analyzing and predicting the endurance time of the power supply of the earphone, and the specific analysis and prediction process comprises the following steps:
step S1: acquiring the residual electric quantity of the power supply, marking the residual electric quantity of the power supply as SD, acquiring the consumed electric quantity of the power supply within the last T days, marking the consumed electric quantity of the power supply within the last T days as XD, and marking T as a positive integer;
step S2: by the formula
Obtaining the predicted time length YS of the power supply, obtaining a time length threshold YSmin of the power supply through a storage module, and comparing the predicted time length YS of the power supply with the time length threshold YSmin:
if YS is greater than YSmin, judging that the power supply is abundant in electric quantity, sending an abundant-electric-quantity signal to a processor by a cruising analysis module, sending the abundant-electric-quantity signal to a controller after the processor receives the abundant-electric-quantity signal, and controlling a green signal lamp to light after the controller receives the abundant-electric-quantity signal;
if YS is less than or equal to YSmin, the power supply electric quantity is judged to be insufficient, the endurance analysis module sends a charging signal to the processor, the processor receives the charging signal and then sends the charging signal to the controller, and the controller receives the charging signal and then controls the yellow signal lamp to light.
2. The active noise reduction Bluetooth headset of claim 1, wherein the display module comprises a green signal lamp, a yellow signal lamp and a red signal lamp disposed on the shell of the Bluetooth headset, and the green signal lamp, the yellow signal lamp and the red signal lamp are electrically connected to the output end of the controller.
3. The active noise reduction bluetooth headset of claim 1, wherein the analysis process of the endurance analysis module further comprises:
acquiring a residual electric quantity threshold value through a storage module, marking the residual electric quantity threshold value as SDmin, and comparing the residual electric quantity SD of the power supply with the residual electric quantity threshold value SDmin:
if SD is greater than SDmin, the power supply state is judged to be a safe use state, and the endurance analysis module sends a safe use signal to the processor;
if SD is less than or equal to SDmin, the power supply state is judged to be a dangerous use state, the endurance analysis module sends a dangerous use signal to the processor, the processor sends the dangerous use signal to the controller after receiving the dangerous use signal, the controller controls the purple signal lamp to light up after receiving the dangerous use signal, meanwhile, the controller controls the power supply of the Bluetooth headset to be turned off after L minutes, and L is a positive integer.
4. The active noise reduction bluetooth headset of claim 1, wherein the life prediction module is configured to perform predictive analysis on the service life of the power supply, and the specific predictive analysis process includes the following steps:
step P1: acquiring the electric quantity when the power supply is fully charged, marking the electric quantity when the power supply is fully charged as MD, acquiring the electric quantity threshold value when the power supply is fully charged through a storage module, and marking the electric quantity threshold value as MDmin;
step P2: comparing the electric quantity MD when the power supply is fully charged with an electric quantity threshold value MDmin:
if MD is greater than MDmin, the service state of the power supply is judged to be a scrapped state, and the service life prediction module sends a scrapped signal to the processor;
and if the MD is less than or equal to the MDmin, judging that the service state of the power supply is a normal state, and sending a normal signal to the processor by the service life prediction module.
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