Charging control method and system and earphone

Abstract

The invention provides a charging control method and system and an earphone, and the method comprises the steps: obtaining the battery state information of a Bluetooth earphone in a single use period, and carrying out the satisfaction degree calculation according to the battery state information, so as to obtain the satisfaction degree information of the Bluetooth earphone; acquiring use data of the Bluetooth headset in a single use cycle, constructing a use data curve of the Bluetooth headset according to the use data, and constructing use habit information of the Bluetooth headset by using the use data curve; obtaining current-day use data of the Bluetooth earphone, calculating single-day power consumption of the Bluetooth earphone according to the use habit information and the current-day use data, and predicting next-day use data of the Bluetooth earphone based on the single-day power consumption of the Bluetooth earphone; and constructing a demand decision model of the Bluetooth headset, constructing a charging control strategy of the Bluetooth headset by using the demand decision model, the next-day use data of the Bluetooth headset and the satisfaction information of the Bluetooth headset, and performing charging control on the Bluetooth headset according to the charging control strategy.

Description

Technical Field

[0001] The present invention relates to the field of charging control technology, and in particular to a charging control method, system and earphone. Background Art

[0002] With the rapid development of science and technology and the improvement of people's living standards, Bluetooth headsets have become one of the indispensable devices in people's lives.

[0003] When using current Bluetooth headsets, users are often required to log in to the Bluetooth headset program in the communication terminal, and the program displays the current battery level of the Bluetooth headset. The user then manually determines whether the battery level meets the current usage needs. However, if the user neglects to observe the battery level of the Bluetooth headset, the Bluetooth headset may be low on battery when the user uses the Bluetooth headset the next day. In addition, the current charging control of Bluetooth headsets cannot predict the user's usage needs the next day, and thus cannot remind the user to perform effective charging control. Summary of the invention

[0004] Based on this, an object of the present invention is to provide a charging control method, system and earphone to solve the deficiencies in the above-mentioned technology.

[0005] The present invention provides a charging control method, comprising: Acquire battery status information of the Bluetooth headset in a single usage cycle, and calculate the satisfaction level according to the battery status information to obtain satisfaction level information of the Bluetooth headset; Acquire usage data of the Bluetooth headset in the single usage cycle, construct a usage data curve of the Bluetooth headset according to the usage data, and construct usage habit information of the Bluetooth headset using the usage data curve; Acquire the current-day usage data of the Bluetooth headset, calculate the daily power consumption of the Bluetooth headset according to the usage habit information and the current-day usage data, and predict the next-day usage data of the Bluetooth headset based on the daily power consumption of the Bluetooth headset; A demand decision model for the Bluetooth headset is constructed, and a charging control strategy for the Bluetooth headset is constructed using the demand decision model, the next day usage data of the Bluetooth headset, and the satisfaction information of the Bluetooth headset, and the charging of the Bluetooth headset is controlled according to the charging control strategy.

[0006] Further, the steps of obtaining battery status information of the Bluetooth headset in a single usage cycle and calculating the satisfaction level according to the battery status information to obtain the satisfaction level information of the Bluetooth headset include: Decomposing the battery status information of the Bluetooth headset in a single use cycle to obtain the battery status information before and after use of the Bluetooth headset in the single use cycle; A satisfaction coefficient of the Bluetooth headset is constructed, and satisfaction information of the Bluetooth headset is calculated according to the battery status information before use, the battery status information after use, and the satisfaction coefficient.

[0007] Furthermore, the calculation formula of the satisfaction information of the Bluetooth headset is: ; ; In the formula, , Respectively represent the first Battery status information at the beginning and end of each use. Indicates the battery status safety threshold of the Bluetooth headset. Indicates the remaining battery capacity of the Bluetooth headset after a single usage cycle. Indicates the expected value of remaining battery capacity preset by the user. Indicates the satisfaction information of Bluetooth headsets. Indicates the first Power consumption per use, Indicates the first Time of use, Indicates the satisfaction coefficient of Bluetooth headsets.

[0008] Furthermore, the steps of obtaining usage data of the Bluetooth headset in the single usage cycle, constructing a usage data curve of the Bluetooth headset according to the usage data, and constructing usage habit information of the Bluetooth headset using the usage data curve include: Extracting usage time data and usage duration data from the usage data, and constructing a usage data curve of the Bluetooth headset according to the usage time data and the usage duration data; Usage habit information of the Bluetooth headset is constructed based on the usage frequency of the Bluetooth headset and the usage data curve.

[0009] Further, the steps of calculating the daily power consumption of the Bluetooth headset according to the usage habit information and the daily usage data, and predicting the next day's usage data of the Bluetooth headset based on the daily power consumption of the Bluetooth headset include: Calculate the power probability distribution density of the Bluetooth headset during a single day of use according to the usage habit information and the daily usage data, and construct a corresponding probability density function according to the power probability distribution density; The probability distribution density corresponding to the daily power consumption of the Bluetooth headset is calculated according to the probability density function, and the next day usage data of the Bluetooth headset is predicted according to the probability distribution density corresponding to the daily power consumption.

[0010] The present invention also provides a charging control system, comprising: A satisfaction calculation module, used for obtaining battery status information of the Bluetooth headset in a single use cycle, and performing satisfaction calculation based on the battery status information to obtain satisfaction information of the Bluetooth headset; a habit information building module, used to obtain the usage data of the Bluetooth headset in the single usage cycle, and to build a usage data curve of the Bluetooth headset according to the usage data, and to build usage habit information of the Bluetooth headset using the usage data curve; a data prediction module, configured to obtain the current-day usage data of the Bluetooth headset, calculate the daily power consumption of the Bluetooth headset according to the usage habit information and the current-day usage data, and predict the next-day usage data of the Bluetooth headset based on the daily power consumption of the Bluetooth headset; The charging control module is used to construct a demand decision model for the Bluetooth headset, and use the demand decision model, the next day usage data of the Bluetooth headset and the satisfaction information of the Bluetooth headset to construct a charging control strategy for the Bluetooth headset, and control the charging of the Bluetooth headset according to the charging control strategy.

[0011] Furthermore, the satisfaction calculation module includes: A data disassembly unit, used to disassemble the battery status information of the Bluetooth headset in a single use cycle to obtain the battery status information before use and the battery status information after use of the Bluetooth headset in a single use cycle; The satisfaction calculation unit is used to construct a satisfaction coefficient of the Bluetooth headset and calculate the satisfaction information of the Bluetooth headset according to the battery status information before use, the battery status information after use and the satisfaction coefficient.

[0012] Furthermore, the habit information building module includes: A curve construction unit, used to extract the usage time data and the usage duration data from the usage data, and construct a usage data curve of the Bluetooth headset according to the usage time data and the usage duration data; The habit information constructing unit is used to construct the usage habit information of the Bluetooth headset based on the usage frequency of the Bluetooth headset and the usage data curve.

[0013] Furthermore, the data prediction module includes: a distribution density calculation unit, configured to calculate the power probability distribution density of the Bluetooth headset during a single day of use according to the usage habit information and the daily usage data, and to construct a corresponding probability density function according to the power probability distribution density; The data prediction unit is used to calculate the probability distribution density corresponding to the daily power consumption of the Bluetooth headset according to the probability density function, and predict the next day's usage data of the Bluetooth headset according to the probability distribution density corresponding to the daily power consumption.

[0014] The present invention also provides an earphone, comprising the above-mentioned charging control method.

[0015] The present invention also proposes a computer, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned charging control method when executing the computer program.

[0016] The charging control method, system and headset of the present invention obtain the battery status information of the Bluetooth headset in a single usage cycle, and use the battery status information to calculate the satisfaction information of the Bluetooth headset, use the usage data of the Bluetooth headset to construct a usage data curve, and use the data curve to construct usage habit information, predict the next day's usage data of the Bluetooth headset based on the usage habit information and the current day's usage data of the Bluetooth headset, and use the constructed demand decision model, the next day's usage data and the satisfaction to construct a charging control strategy for the Bluetooth headset to achieve charging control of the Bluetooth headset, and model and predict the charging control of the Bluetooth headset by considering multiple factors, thereby improving the user's usage experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a flow chart of a charging control method in a first embodiment of the present invention; Figure 2 for Figure 1 Detailed flow chart of step S101; Figure 3 for Figure 1 Detailed flow chart of step S102; Figure 4 for Figure 1 Detailed flow chart of step S103; Figure 5 is a structural block diagram of a charging control system in a second embodiment of the present invention; Figure 6FIG. 4 is a structural block diagram of a computer in a third embodiment of the present invention.

[0018] The following specific implementation manner will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0019] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. Several embodiments of the present invention are given in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0021] Embodiment 1 See also Figure 1 , which shows a charging control method in a first embodiment of the present invention, and the method specifically includes steps S101 to S104: S101, obtaining battery status information of the Bluetooth headset in a single usage cycle, and calculating the satisfaction level according to the battery status information to obtain satisfaction level information of the Bluetooth headset; For further information, see Figure 2 , the step S101 specifically includes steps S1011~S1012: S1011, performing data disassembly on the battery status information of the Bluetooth headset in a single use cycle to obtain the battery status information before use and the battery status information after use of the Bluetooth headset in the single use cycle; S1012, constructing a satisfaction coefficient of the Bluetooth headset, and calculating satisfaction information of the Bluetooth headset according to the battery status information before use, the battery status information after use, and the satisfaction coefficient.

[0022] In a specific implementation, the battery status information of the Bluetooth headset used by the user in a single usage cycle is obtained, wherein a single usage cycle is a time period from when the Bluetooth headset is used from a fully charged state to a fully charged state. Since the usage frequency and usage method of the Bluetooth headset are relatively flexible, the battery status information of the Bluetooth headset in a single usage cycle is decomposed into data, so as to mark the battery status information before use and the battery status information after use of the Bluetooth headset in a single usage cycle in date order; Whether the Bluetooth headset needs to be charged is related to the time of its next use and the current remaining power. In this embodiment, a satisfaction coefficient of the Bluetooth headset is constructed, and the satisfaction information of the Bluetooth headset is calculated using the battery status information before use, the battery status information after use, and the satisfaction coefficient obtained above: ; ; In the formula, , Respectively represent the first Battery status information at the beginning and end of each use. Indicates the battery status safety threshold of the Bluetooth headset. Indicates the remaining battery capacity of the Bluetooth headset after a single usage cycle. Indicates the expected value of remaining battery capacity preset by the user. Indicates the satisfaction information of Bluetooth headsets. Indicates the first Power consumption when used for the first time, Indicates the first Time of use, Indicates the satisfaction coefficient of Bluetooth headsets.

[0023] S102, obtaining usage data of the Bluetooth headset in the single usage cycle, constructing a usage data curve of the Bluetooth headset according to the usage data, and constructing usage habit information of the Bluetooth headset using the usage data curve; For further information, see Figure 3 , the step S102 specifically includes steps S1021~S1022: S1021, extracting usage time data and usage duration data from the usage data, and constructing a usage data curve of the Bluetooth headset according to the usage time data and the usage duration data; S1022: Construct usage habit information of the Bluetooth headset based on the usage frequency of the Bluetooth headset and the usage data curve.

[0024] In a specific implementation, usage data of the Bluetooth headset within the above-mentioned single usage cycle is obtained, wherein the usage data includes usage duration data and usage time data of the Bluetooth headset, wherein the usage time data is the time point when the Bluetooth headset is in use, and the usage duration data is the length of time the Bluetooth headset is used once on the same day. A usage data curve of the Bluetooth headset is constructed based on the obtained usage duration data and usage time data, and then the usage habits of the Bluetooth headset are collected and extracted based on the usage frequency of the Bluetooth headset and the usage data curve, thereby constructing usage habit information of the Bluetooth headset. In this embodiment, feature data extraction is used to extract information related to usage habits from the usage data, and data integration is used to integrate the information to form corresponding usage habit information.

[0025] S103, obtaining the current day usage data of the Bluetooth headset, and calculating the daily power consumption of the Bluetooth headset according to the usage habit information and the current day usage data, and predicting the next day usage data of the Bluetooth headset based on the daily power consumption of the Bluetooth headset; For further information, see Figure 4 , the step S103 specifically includes steps S1031~S1032: S1031, calculating the power probability distribution density of the Bluetooth headset during a single day of use according to the usage habit information and the daily usage data, and constructing a corresponding probability density function according to the power probability distribution density; S1032: Calculate the probability distribution density corresponding to the daily power consumption of the Bluetooth headset according to the probability density function, and predict the next day's usage data of the Bluetooth headset according to the probability distribution density corresponding to the daily power consumption.

[0026] In the specific implementation, the daily usage data of the Bluetooth headset is obtained, and the probability distribution density of the power consumption of the Bluetooth headset when it is used on the same day is calculated using the above-mentioned usage habit information and the daily usage data. The corresponding probability density function is constructed using the power probability distribution density. The probability density function conforms to the normal distribution. The probability distribution density corresponding to the daily power consumption of the Bluetooth headset is calculated using the obtained probability density function. The probability distribution density corresponding to the daily power consumption of the Bluetooth headset is used for linear fitting to predict the next day's usage data of the Bluetooth headset.

[0027] S104, constructing a demand decision model for the Bluetooth headset, and constructing a charging control strategy for the Bluetooth headset using the demand decision model, the next day usage data of the Bluetooth headset, and the satisfaction information of the Bluetooth headset, and performing charging control on the Bluetooth headset according to the charging control strategy.

[0028] In the specific implementation, a corresponding demand decision model is constructed according to the preset demand information of the Bluetooth headset, and a charging control strategy for the Bluetooth headset is constructed using the demand decision model, the next-day usage data of the Bluetooth headset, and the satisfaction information of the Bluetooth headset. The charging control strategy includes determining whether the power of the Bluetooth headset can support the user's use on the next day based on the next-day usage data of the Bluetooth headset, and predicting the charging demand based on the historical charging record of the Bluetooth headset, and determining the probability of the user using the Bluetooth headset on the next day using the satisfaction information. The higher the value in the satisfaction information, the higher the frequency of use of the Bluetooth headset, and the greater the probability of the user using the Bluetooth headset on the next day. The three pieces of information are used to obtain the corresponding charging control strategy from the demand decision model, and the charging control strategy is used to control the charging of the Bluetooth headset. In summary, the charging control method in the above embodiments of the present invention obtains the battery status information of the Bluetooth headset in a single usage cycle, and uses the battery status information to calculate the satisfaction information of the Bluetooth headset, uses the usage data of the Bluetooth headset to construct a usage data curve, and uses the data curve to construct usage habit information, predicts the next day's usage data of the Bluetooth headset based on the usage habit information and the current day's usage data of the Bluetooth headset, and uses the constructed demand decision model, the next day's usage data and the satisfaction to construct a charging control strategy for the Bluetooth headset to achieve charging control of the Bluetooth headset, and models and predicts the charging control of the Bluetooth headset by considering multiple factors, thereby improving the user's usage experience.

[0029] Embodiment 2 Another aspect of the present invention also provides a charging control system, please refer to Figure 5 , which shows a charging control system in a second embodiment of the present invention, the system comprises: The satisfaction calculation module 11 is used to obtain the battery status information of the Bluetooth headset in a single use cycle, and calculate the satisfaction level according to the battery status information to obtain the satisfaction information of the Bluetooth headset; Furthermore, the satisfaction calculation module includes: A data disassembly unit, used to disassemble the battery status information of the Bluetooth headset in a single use cycle to obtain the battery status information before use and the battery status information after use of the Bluetooth headset in a single use cycle; The satisfaction calculation unit is used to construct a satisfaction coefficient of the Bluetooth headset and calculate the satisfaction information of the Bluetooth headset according to the battery status information before use, the battery status information after use and the satisfaction coefficient.

[0030] A habit information building module 12 is used to obtain the usage data of the Bluetooth headset in the single usage cycle, and build a usage data curve of the Bluetooth headset according to the usage data, and use the usage data curve to build the usage habit information of the Bluetooth headset; Furthermore, the habit information building module 12 includes: A curve construction unit, used to extract the usage time data and the usage duration data from the usage data, and construct a usage data curve of the Bluetooth headset according to the usage time data and the usage duration data; The habit information constructing unit is used to construct the usage habit information of the Bluetooth headset based on the usage frequency of the Bluetooth headset and the usage data curve.

[0031] The data prediction module 13 is used to obtain the current day usage data of the Bluetooth headset, calculate the daily power consumption of the Bluetooth headset according to the usage habit information and the current day usage data, and predict the next day usage data of the Bluetooth headset based on the daily power consumption of the Bluetooth headset; Furthermore, the data prediction module 13 includes: a distribution density calculation unit, configured to calculate the power probability distribution density of the Bluetooth headset during a single day of use according to the usage habit information and the daily usage data, and to construct a corresponding probability density function according to the power probability distribution density; The data prediction unit is used to calculate the probability distribution density corresponding to the daily power consumption of the Bluetooth headset according to the probability density function, and predict the next day's usage data of the Bluetooth headset according to the probability distribution density corresponding to the daily power consumption.

[0032] The charging control module 14 is used to construct a demand decision model for the Bluetooth headset, and use the demand decision model, the next day usage data of the Bluetooth headset and the satisfaction information of the Bluetooth headset to construct a charging control strategy for the Bluetooth headset, and control the charging of the Bluetooth headset according to the charging control strategy.

[0033] The functions or operation steps implemented when the above modules and units are executed are generally the same as those in the above method embodiments, and will not be repeated here.

[0034] The charging control system provided in the embodiment of the present invention has the same implementation principle and technical effects as those of the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the system embodiment, reference may be made to the corresponding contents in the aforementioned method embodiment.

[0035] Embodiment 3 The present invention also provides a computer, see Figure 6, shown is a computer in the third embodiment of the present invention, including a memory 10, a processor 20, and a computer program 30 stored in the memory 10 and executable on the processor 20. When the processor 20 executes the computer program 30, the above-mentioned charging control method is implemented.

[0036] The memory 10 includes at least one type of readable storage medium, which includes a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., an SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the memory 10 may be an internal storage unit of a computer, such as a hard disk of the computer. In other embodiments, the memory 10 may also be an external storage device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card, etc. Further, the memory 10 may also include both an internal storage unit of the computer and an external storage device. The memory 10 may be used not only to store application software and various types of data installed in the computer, but also to temporarily store data that has been output or is to be output.

[0037] Among them, in some embodiments, the processor 20 can be an electronic control unit (Electronic Control Unit, abbreviated as ECU, also known as a vehicle computer), a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, a microprocessor or other data processing chip, used to run the program code stored in the memory 10 or process data, such as executing access restriction programs, etc.

[0038] It should be pointed out that Figure 6 The structure shown does not constitute a limitation on the computer. In other embodiments, the computer may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0039] The embodiment of the present invention further provides a readable storage medium on which a computer program is stored. When the program is executed by a processor, the charging control method as described above is implemented.

[0040] Those skilled in the art will appreciate that the logic and / or steps represented in the flowchart or otherwise described herein, for example, may be considered as an ordered list of executable instructions for implementing logical functions, and may be specifically implemented in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For purposes of this specification, "computer-readable medium" may be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0041] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0042] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or a combination thereof: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0043] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0044] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A charging control method, characterized in that: include: Acquire battery status information of the Bluetooth headset in a single usage cycle, and calculate the satisfaction level according to the battery status information to obtain satisfaction level information of the Bluetooth headset; Acquire usage data of the Bluetooth headset in the single usage cycle, construct a usage data curve of the Bluetooth headset according to the usage data, and construct usage habit information of the Bluetooth headset using the usage data curve; Acquire the current-day usage data of the Bluetooth headset, calculate the daily power consumption of the Bluetooth headset according to the usage habit information and the current-day usage data, and predict the next-day usage data of the Bluetooth headset based on the daily power consumption of the Bluetooth headset; A demand decision model for the Bluetooth headset is constructed, and a charging control strategy for the Bluetooth headset is constructed using the demand decision model, the next day usage data of the Bluetooth headset, and the satisfaction information of the Bluetooth headset, and the charging of the Bluetooth headset is controlled according to the charging control strategy.

2. The charging control method according to claim 1, characterized in that: The steps of obtaining battery status information of the Bluetooth headset in a single usage cycle and calculating the satisfaction level according to the battery status information to obtain the satisfaction level information of the Bluetooth headset include: Decomposing the battery status information of the Bluetooth headset in a single use cycle to obtain the battery status information before and after use of the Bluetooth headset in the single use cycle; A satisfaction coefficient of the Bluetooth headset is constructed, and satisfaction information of the Bluetooth headset is calculated according to the battery status information before use, the battery status information after use, and the satisfaction coefficient.

3. The charging control method according to claim 2, characterized in that: The calculation formula of the satisfaction information of the Bluetooth headset is: ； ； In the formula, , Respectively represent the first Battery status information at the beginning and end of each use. Indicates the battery status safety threshold of the Bluetooth headset. Indicates the remaining battery capacity of the Bluetooth headset after a single usage cycle. Indicates the expected value of remaining battery capacity preset by the user. Indicates the satisfaction information of Bluetooth headsets. Indicates the first Power consumption when used for the first time, Indicates the first Time of use, Indicates the satisfaction coefficient of Bluetooth headsets.

4. The charging control method according to claim 1, characterized in that: The steps of obtaining usage data of the Bluetooth headset in the single usage cycle, constructing a usage data curve of the Bluetooth headset according to the usage data, and constructing usage habit information of the Bluetooth headset using the usage data curve include: Extracting usage time data and usage duration data from the usage data, and constructing a usage data curve of the Bluetooth headset according to the usage time data and the usage duration data; Usage habit information of the Bluetooth headset is constructed based on the usage frequency of the Bluetooth headset and the usage data curve.

5. The charging control method according to claim 1, characterized in that: The steps of calculating the daily power consumption of the Bluetooth headset according to the usage habit information and the daily usage data, and predicting the next day's usage data of the Bluetooth headset based on the daily power consumption of the Bluetooth headset include: Calculate the power probability distribution density of the Bluetooth headset during a single day of use according to the usage habit information and the daily usage data, and construct a corresponding probability density function according to the power probability distribution density; The probability distribution density corresponding to the daily power consumption of the Bluetooth headset in one day is calculated according to the probability density function, and the usage data of the Bluetooth headset for the next day is predicted according to the probability distribution density corresponding to the daily power consumption in one day.

6. A charging control system, characterized in that: include: A satisfaction calculation module, used to obtain battery status information of the Bluetooth headset in a single usage cycle, and perform satisfaction calculation based on the battery status information to obtain satisfaction information of the Bluetooth headset; a habit information building module, used to obtain the usage data of the Bluetooth headset in the single usage cycle, and to build a usage data curve of the Bluetooth headset according to the usage data, and to build usage habit information of the Bluetooth headset using the usage data curve; a data prediction module, configured to obtain the current-day usage data of the Bluetooth headset, calculate the daily power consumption of the Bluetooth headset according to the usage habit information and the current-day usage data, and predict the next-day usage data of the Bluetooth headset based on the daily power consumption of the Bluetooth headset; The charging control module is used to construct a demand decision model for the Bluetooth headset, and use the demand decision model, the next day usage data of the Bluetooth headset and the satisfaction information of the Bluetooth headset to construct a charging control strategy for the Bluetooth headset, and control the charging of the Bluetooth headset according to the charging control strategy.

7. The charging control system according to claim 6, characterized in that: The satisfaction calculation module includes: A data disassembly unit, used to disassemble the battery status information of the Bluetooth headset in a single use cycle to obtain the battery status information before use and the battery status information after use of the Bluetooth headset in a single use cycle; The satisfaction calculation unit is used to construct a satisfaction coefficient of the Bluetooth headset and calculate the satisfaction information of the Bluetooth headset according to the battery status information before use, the battery status information after use and the satisfaction coefficient.

8. The charging control system according to claim 6, characterized in that: The habit information building module includes: A curve construction unit, used to extract the usage time data and the usage duration data from the usage data, and construct a usage data curve of the Bluetooth headset according to the usage time data and the usage duration data; The habit information constructing unit is used to construct the usage habit information of the Bluetooth headset based on the usage frequency of the Bluetooth headset and the usage data curve.

9. A headset, characterized in that: The invention comprises the charging control method as described in any one of claims 1 to 5.

10. A computer comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the charging control method according to any one of claims 1 to 5 is implemented.

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