Bluetooth sound equipment management method, intelligent terminal and Bluetooth sound equipment system

Abstract

The invention provides a Bluetooth sound equipment management method, an intelligent terminal and a Bluetooth sound equipment system, and relates to the technical field of Bluetooth sound equipment. According to the invention, through separate identification and regional division of the Bluetooth sound equipment, in combination with historical work task data analysis and a machine learning prediction model, accurate prediction and dynamic adjustment of the workload of the Bluetooth sound equipment are realized, resource configuration is optimized, management efficiency is improved, and through an intelligent and automatic management means, the workload of the Bluetooth sound equipment can be accurately predicted and dynamically adjusted. According to the invention, energy is saved to the greatest extent, the service life of equipment is prolonged, and the stability and high quality of sound service are ensured, so that more satisfactory experience is provided for users, and a solid foundation is laid for future intelligent management.

Description

Technical Field

[0001] The present invention relates to the technical field of Bluetooth speakers, and in particular to a Bluetooth speaker management method. Background Art

[0002] In the field of modern audio services, Bluetooth speakers, as important equipment for wireless audio transmission, are widely used in various occasions, such as conference rooms, exhibition halls, shopping malls, restaurants, etc. However, with the increasing number of Bluetooth speakers and the diversification of usage scenarios, their management faces many challenges and problems, such as: In the traditional Bluetooth speaker management method, administrators often need to manually control and configure each speaker, which is not only time-consuming and labor-intensive, but also prone to configuration errors. At the same time, due to the large number of speakers and their wide distribution, it is difficult for administrators to grasp the working status and location information of each speaker in real time, resulting in low management efficiency.

[0003] In actual applications, the usage and workload of Bluetooth speakers in different areas often vary significantly. However, traditional management methods often fail to dynamically adjust speaker resources according to actual needs, resulting in uneven resource allocation. Some areas may be affected by insufficient number of speakers, while other areas may waste resources due to idle speakers.

[0004] With the continuous development of technologies such as the Internet of Things, big data, and artificial intelligence, intelligent management has become an important trend in the field of audio services. However, traditional Bluetooth audio management methods often lack intelligent and automated means and cannot meet the needs of modern management. How to achieve intelligent management of Bluetooth audio and improve management efficiency and service quality has become a problem that needs to be solved urgently.

[0005] Therefore, it is necessary to provide a Bluetooth speaker management method to solve the above technical problems. Summary of the invention

[0006] In order to solve the above technical problems, the present invention provides a Bluetooth audio management method, an intelligent terminal and a Bluetooth audio system for solving the problems of low management efficiency, uneven resource allocation and lack of intelligent management in existing Bluetooth audio management.

[0007] The present invention provides a Bluetooth speaker management method, the management method comprising the following steps: Separately label each working Bluetooth speaker and divide the Bluetooth speakers in the scene into different areas according to the usage scenario; According to the Bluetooth audio situation in each divided area, historical work task data of each Bluetooth audio is obtained according to a preset period, including Bluetooth pairing data, connection time, working time and working status parameters; Build a work estimation model based on the historical work task data of Bluetooth speakers in each area; Setting a workload threshold segment, and setting a corresponding audio working mode based on the workload threshold segment; Obtain the current work task data of Bluetooth speakers in different areas in real time, and analyze the workload of Bluetooth speakers in each area in the next cycle through the work estimation model to obtain the workload estimation results of Bluetooth speakers in different areas; Determine the workload threshold segment to which the workload estimation results of Bluetooth speakers in different areas belong, and dynamically adjust the working modes of Bluetooth speakers in different areas based on the determination results.

[0008] Preferably, the steps of individually marking each working Bluetooth speaker and dividing the Bluetooth speakers in the scene into different area Bluetooth speakers according to the usage scenario include: Assign a unique identifier to each working Bluetooth speaker, where the identifier is a serial number, a QR code or a logo color; According to the usage scenarios of Bluetooth speakers, the usage scenarios are divided into different areas; Based on the different divided areas, a Bluetooth speaker list is created for each area, and the identifiers, locations and model information of all Bluetooth speakers in the area are recorded to obtain Bluetooth speakers in different areas.

[0009] Preferably, the method of obtaining the historical working task data of each Bluetooth speaker according to the Bluetooth speaker conditions in each divided area and according to a preset period, specifically including Bluetooth pairing data, connection time, working time and working status parameters, comprises the following specific steps: Through the management system or log records of Bluetooth speakers, historical work task data of each Bluetooth speaker is collected, including Bluetooth pairing data, connection time, working time and working status parameters; The collected historical work task data of each Bluetooth speaker is sorted according to region, Bluetooth speaker identifier and time sequence.

[0010] Preferably, the work prediction model is constructed based on the historical work task data of the Bluetooth speakers in each area, and the specific steps include: Analyze the collected historical work task data of each Bluetooth speaker using statistical analysis methods to identify the characteristic factors that affect the workload of Bluetooth speakers; The characteristic factors that affect the workload of Bluetooth speakers in historical work task data are taken as input, and the workload of Bluetooth speakers is taken as output. A machine learning model is selected for training to obtain a work estimation model.

[0011] Preferably, the step of setting the workload threshold segment and setting the corresponding audio working mode based on the workload threshold segment comprises: According to the usage requirements of the Bluetooth speaker, different workload threshold sections are set, including low workload area, medium workload area and high workload area; For each workload threshold segment, a corresponding audio working mode is set, including energy-saving mode, standard mode and high-performance mode.

[0012] Preferably, the real-time acquisition of current work task data of Bluetooth speakers in different areas, and the analysis of the workload of Bluetooth speakers in each area in the future period of time through a work estimation model to obtain workload estimation results of Bluetooth speakers in different areas, specifically comprises the following steps: Get the current working task data of Bluetooth speakers in different areas in real time; The characteristic factors that affect the workload of Bluetooth speakers in the current work task data are extracted through data analysis methods; The characteristic factors that affect the workload of Bluetooth speakers in the work task data are input into the work estimation model, and the workload of Bluetooth speakers in each area in the future period is output to obtain the workload estimation results of Bluetooth speakers in different areas.

[0013] Preferably, the method of determining the workload threshold segment to which the workload estimation results of the Bluetooth speakers in different areas belong, and dynamically adjusting the working modes of the Bluetooth speakers in different areas based on the determination results, specifically comprises the following steps: Compare the obtained workload estimation results of the Bluetooth speakers in different areas with the set workload threshold segments respectively, determine the workload threshold segments to which the workload estimation results of the Bluetooth speakers in different areas belong, and obtain a determination result; Based on the judgment results, the working modes of Bluetooth speakers in different areas are dynamically adjusted, specifically, the low workload area, medium workload area and high workload area are adjusted to energy-saving mode, standard mode and high-performance mode respectively; After adjusting the working mode, continuously monitor the working status of Bluetooth speakers in different areas.

[0014] A smart terminal comprises a processor and a memory, wherein the memory stores a computer program.

[0015] A Bluetooth audio system, the Bluetooth audio system comprising a smart terminal and: A division identification module is used to separately identify each working Bluetooth speaker and divide the Bluetooth speakers in the scene into different area Bluetooth speakers according to the usage scenario; The data acquisition module is used to obtain the historical working task data of each Bluetooth speaker according to the Bluetooth speaker conditions in each divided area and according to the preset period, including Bluetooth pairing data, connection time, working time and working status parameters; A model building module, used to build a work estimation model based on the historical work task data of Bluetooth speakers in each area; A mode definition module, used to set a workload threshold segment, and set a corresponding audio working mode based on the workload threshold segment; The analysis and estimation module is used to obtain the current work task data of Bluetooth speakers in different areas in real time, and analyze the workload of Bluetooth speakers in each area in the next cycle through the work estimation model to obtain the workload estimation results of Bluetooth speakers in different areas; The dynamic adjustment module is used to determine the workload threshold segment to which the workload estimation results of the Bluetooth speakers in different areas belong, and based on the determination results, dynamically adjust the working modes of the Bluetooth speakers in different areas.

[0016] Compared with the related art, the Bluetooth audio management method provided by the present invention has the following beneficial effects: The present invention realizes accurate prediction and dynamic adjustment of the workload of Bluetooth speakers by individually identifying and zoning Bluetooth speakers, combining historical work task data analysis with machine learning prediction models. It not only optimizes resource allocation and improves management efficiency, but also saves energy to the maximum extent and extends equipment life through intelligent and automated management methods. At the same time, it ensures the stability and high quality of audio services, thereby providing users with a more satisfactory experience and laying a solid foundation for future intelligent management. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a flow chart of the Bluetooth speaker management method of the present invention; Figure 2 is a flowchart of step S5 in the Bluetooth audio management method of the present invention; Figure 3 Flow chart of step S6 in the Bluetooth audio management method of the present invention. DETAILED DESCRIPTION

[0018] The present invention will be further described below in conjunction with the accompanying drawings and implementation modes.

[0019] Embodiment 1 like Figure 1 As shown, the Bluetooth speaker management method includes the following steps: S1. Individually label each working Bluetooth speaker and divide the Bluetooth speakers in the scene into different area Bluetooth speakers according to the usage scenario; S2. According to the Bluetooth audio conditions in each divided area, historical work task data of each Bluetooth audio is obtained according to a preset period, including Bluetooth pairing data, connection time, working time and working status parameters; S3. Building a work estimation model based on the historical work task data of Bluetooth speakers in each area; S4, setting a workload threshold segment, and setting a corresponding audio working mode based on the workload threshold segment; S5. Acquire the current work task data of Bluetooth speakers in different areas in real time, and analyze the workload of Bluetooth speakers in each area in the next cycle through the work estimation model to obtain the workload estimation results of Bluetooth speakers in different areas; S6. Determine the workload threshold segment to which the workload estimation results of the Bluetooth speakers in different areas belong, and dynamically adjust the working modes of the Bluetooth speakers in different areas based on the determination results.

[0020] In the specific implementation process, the specific steps of step S1 are: S101. Allocate a unique identifier for each working Bluetooth speaker, wherein the identifier is a serial number, a QR code or an identification color.

[0021] Specifically, each Bluetooth speaker is given a unique serial number when it is produced. The serial number can be printed somewhere on the Bluetooth speaker or stored in the speaker's firmware. Each Bluetooth speaker can be identified and recorded by reading or querying the serial number; or a QR code containing unique information, including the speaker's serial number, model, production date and other key information, can be attached to each Bluetooth speaker; or the color of the identification can be used to quickly distinguish different Bluetooth speakers. The identifier will be used for subsequent management, tracking and identification of the Bluetooth speaker.

[0022] S102. Divide the usage scenarios of the Bluetooth speakers into different areas according to the usage scenarios.

[0023] Specifically, the use scene is divided into different areas, specifically according to factors such as spatial location, functional requirements or management requirements. In this embodiment, the music use scene is divided into a main stage area, a secondary stage area, an audience rest area or a dining area, etc.

[0024] S103: Based on the different divided areas, create a Bluetooth speaker list for each area, record the identifiers, locations and model information of all Bluetooth speakers in the area, and obtain Bluetooth speakers in different areas.

[0025] Specifically, a Bluetooth speaker list is created for each area to facilitate a clear understanding of the audio resource situation in each divided area and facilitate subsequent management and scheduling.

[0026] In the specific implementation process, the specific steps of step S2 are: S201, collecting historical work task data of each Bluetooth speaker through the management system or log record of the Bluetooth speaker, including Bluetooth pairing data, connection time, working time and working status parameters; Specifically, according to the preset collection cycle, the Bluetooth pairing data of each Bluetooth speaker is collected through the management system or log records of the Bluetooth speaker, specifically including the pairing records of the Bluetooth speaker with other devices (such as mobile phones, computers, etc.); the connection time of each Bluetooth speaker is collected, specifically including the duration after the Bluetooth speaker successfully establishes a connection with the paired device. By recording the connection time, the frequency and duration of use of the speakers can be analyzed; the working time of each Bluetooth speaker is collected, specifically referring to the time when the Bluetooth speaker actually plays audio; the parameters of the working status of each Bluetooth speaker are collected, specifically including key parameters such as the volume, sound quality, and battery power of the Bluetooth speaker.

[0027] In this embodiment, the management system of the Bluetooth speaker is used to view the Bluetooth pairing data, connection time, working time and other information in the historical work tasks of the Bluetooth speaker. At the same time, the monitoring function in the management system is also used to obtain the working status parameters of the Bluetooth speaker.

[0028] S202, sorting the collected historical work task data of each Bluetooth speaker according to region and time sequence.

[0029] Specifically, in this embodiment, the collected historical work task data of each Bluetooth speaker is sorted according to the area, such as the main stage area, the secondary stage area, the audience lounge area or the dining area, and sorted in chronological order to facilitate the analysis of the usage trends and periodic changes of the Bluetooth speakers.

[0030] In the specific implementation process, the specific steps of step S3 are: S301. Analyze the collected historical work task data of each Bluetooth speaker by using a statistical analysis method to identify characteristic factors that affect the workload of the Bluetooth speaker.

[0031] Specifically, statistical methods are used to organize, summarize and describe the historical work task data of each Bluetooth speaker, including calculating statistics such as mean, variance, and median, so as to understand the overall distribution and characteristics of the Bluetooth speaker workload, and through statistical methods of correlation analysis or regression analysis, identify the relationship between the variables in the historical work task data, especially the correlation with the Bluetooth speaker workload, so as to screen and identify the characteristic factors that affect the Bluetooth speaker workload.

[0032] For example, if a group of historical work task data of Bluetooth speakers is collected, including the number of Bluetooth pairing times, connection duration, working time, and working status (such as play, pause, mute, etc.), through statistical analysis, it is identified that the number of Bluetooth pairing times and connection duration are positively correlated with the workload of the Bluetooth speakers, then the number of Bluetooth pairing times, connection duration and working environment temperature are determined as the main characteristic factors affecting the workload of the Bluetooth speakers.

[0033] S302. Taking the characteristic factors that affect the workload of the Bluetooth speaker in the historical work task data as input and the workload of the Bluetooth speaker as output, a machine learning model is selected for training to obtain a work estimation model.

[0034] Specifically, a decision tree or random forest model in the machine learning model is selected as the model to be trained, and the characteristic factors affecting the workload of the Bluetooth speaker in the historical work task data are input as the training set, and the workload of the Bluetooth speaker is used as the output. After the training is completed, a work estimation model is obtained.

[0035] In the specific implementation process, the specific steps of step S4 are: S401. According to the usage requirements of the Bluetooth speaker, different workload threshold sections are set, specifically including a low workload section, a medium workload section, and a high workload section.

[0036] Specifically, obtain the usage scenarios of Bluetooth speakers and clarify the work requirements of Bluetooth speakers in different scenarios. For example, in home entertainment scenarios, Bluetooth speakers are mainly used for background music playback, and the workload is relatively low; while in commercial activities or large-scale performances, Bluetooth speakers need to undertake more important sound effects tasks, and the workload is relatively high. Then, according to the usage requirements of Bluetooth speakers, set low workload areas, medium workload areas, and high workload areas.

[0037] In this embodiment, in commercial activities or large-scale performance scenarios, the workload threshold sections are set as follows: low workload zone: the working time does not exceed 4 hours per day, and the number of connections is less than 5 times; medium workload zone: the working time is between 4-8 hours per day, and the number of connections is between 5-10 times; high workload zone: the working time exceeds 8 hours per day, and the number of connections exceeds 10 times.

[0038] S402: For each workload threshold segment, set a corresponding audio operating mode, specifically including an energy-saving mode, a standard mode, and a high-performance mode.

[0039] Specifically, in this embodiment, the low workload area is set to the energy-saving mode. In the energy-saving mode, the power consumption of the Bluetooth speaker is reduced, and the sound quality is maintained at a basic level to meet the needs of home entertainment scenarios; the medium workload area is set to the standard mode. In the standard mode, the power consumption and sound quality of the Bluetooth speaker are in a balanced state, which can not only meet the sound effect requirements in commercial activities, but also maintain a low power consumption level; the high workload area is set to the high-performance mode. In the high-performance mode, the power consumption of the Bluetooth speaker is increased, and the sound quality reaches the best state to meet the high-requirement sound effects in large-scale performances or commercial activities.

[0040] like Figure 2 As shown, in the specific implementation process, the specific steps of step S5 are: S501. Acquire current working task data of Bluetooth speakers in different areas in real time.

[0041] Specifically, after obtaining the current work task data of Bluetooth speakers in different areas in real time, the current work task data is cleaned, denoised and normalized to ensure the quality and consistency of the data.

[0042] S502, extracting characteristic factors that affect the workload of the Bluetooth speaker from the current work task data through a data analysis method; Specifically, the correlation analysis in the data analysis method is used to screen out the characteristic factors related to the workload of the Bluetooth speaker, and the selected characteristic factors are extracted and converted.

[0043] S503, input the characteristic factors that affect the workload of the Bluetooth speakers in the work task data into the work estimation model, output the workload of the Bluetooth speakers in each area in a future cycle, and obtain the workload estimation results of the Bluetooth speakers in different areas.

[0044] Specifically, the selected characteristic factors are sorted and organized in the format required by the work estimation model, and then the sorted characteristic factors are input into the work estimation model. The work estimation model performs calculation and reasoning based on the input characteristic factors, and outputs the workload estimation results of the Bluetooth speakers in each area in the future period.

[0045] like Figure 3 As shown, in the specific implementation process, the specific steps of step S6 are: S601, comparing the obtained workload estimation results of the Bluetooth speakers in different areas with the set workload threshold segments respectively, determining the workload threshold segments to which the workload estimation results of the Bluetooth speakers in different areas belong, and obtaining a determination result.

[0046] Specifically, the workload estimation result of the Bluetooth speakers in each area is compared with the set threshold segment. According to the comparison result, the workload threshold segment to which the workload estimation result of the Bluetooth speakers in each area belongs is determined, and the determination result is recorded for use in subsequent steps. For example, if the threshold range of the low workload zone is set to 0-20 hours / week, the threshold range of the medium workload zone is set to 20-40 hours / week, and the threshold range of the high workload zone is set to more than 40 hours / week, after comparison, it is identified that the workload estimation result of the Bluetooth speakers in a certain area in the next week is 35 hours / week, and therefore the Bluetooth speakers in this area are determined to belong to the medium workload zone.

[0047] S602. Based on the judgment result, dynamically adjust the working modes of the Bluetooth speakers in different areas, specifically, the low workload area, the medium workload area, and the high workload area are adjusted to energy-saving mode, standard mode, and high-performance mode respectively.

[0048] Specifically, according to the judgment result, the working mode that the Bluetooth speaker in each area should adopt is determined, and the working mode of the Bluetooth speaker in each area is adjusted to the corresponding working mode, wherein in each working mode, the power, volume, and playback content of the Bluetooth speaker are all preset parameters.

[0049] S603. After adjusting the working mode, continuously monitor the working status of the Bluetooth speakers in different areas.

[0050] Specifically, through smart terminals or special monitoring equipment, the working status of Bluetooth speakers in different areas can be monitored in real time, and various parameters and indicators of the Bluetooth speakers can be displayed in real time.

[0051] The present invention realizes accurate prediction and dynamic adjustment of the workload of Bluetooth speakers by individually identifying and zoning Bluetooth speakers, combining historical work task data analysis with machine learning prediction models. It not only optimizes resource allocation and improves management efficiency, but also saves energy to the maximum extent and extends equipment life through intelligent and automated management methods. At the same time, it ensures the stability and high quality of audio services, thereby providing users with a more satisfactory experience and laying a solid foundation for future intelligent management.

[0052] Embodiment 2 An intelligent terminal includes a processor and a memory, wherein the memory stores a computer program.

[0053] A Bluetooth audio system, comprising a smart terminal and: A division identification module is used to separately identify each working Bluetooth speaker and divide the Bluetooth speakers in the scene into different area Bluetooth speakers according to the usage scenario; The data acquisition module is used to obtain the historical working task data of each Bluetooth speaker according to the Bluetooth speaker conditions in each divided area and according to the preset period, including Bluetooth pairing data, connection time, working time and working status parameters; A model building module, used to build a work estimation model based on the historical work task data of Bluetooth speakers in each area; A mode definition module, used to set a workload threshold segment, and set a corresponding audio working mode based on the workload threshold segment; The analysis and estimation module is used to obtain the current work task data of Bluetooth speakers in different areas in real time, and analyze the workload of Bluetooth speakers in each area in the next cycle through the work estimation model to obtain the workload estimation results of Bluetooth speakers in different areas; The dynamic adjustment module is used to determine the workload threshold segment to which the workload estimation results of the Bluetooth speakers in different areas belong, and based on the determination results, dynamically adjust the working modes of the Bluetooth speakers in different areas.

[0054] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0055] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0056] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

Claims

1. A Bluetooth audio management method, characterized in that: The management method comprises the following steps: Separately label each working Bluetooth speaker and divide the Bluetooth speakers in the scene into different areas according to the usage scenario; According to the Bluetooth audio situation in each divided area, historical work task data of each Bluetooth audio is obtained according to a preset period, including Bluetooth pairing data, connection time, working time and working status parameters; Build a work estimation model based on the historical work task data of Bluetooth speakers in each area; Setting a workload threshold segment, and setting a corresponding audio working mode based on the workload threshold segment; Obtain the current work task data of Bluetooth speakers in different areas in real time, and analyze the workload of Bluetooth speakers in each area in the next cycle through the work estimation model to obtain the workload estimation results of Bluetooth speakers in different areas; Determine the workload threshold segment to which the workload estimation results of Bluetooth speakers in different areas belong, and dynamically adjust the working modes of Bluetooth speakers in different areas based on the determination results.

2. The Bluetooth audio management method according to claim 1, characterized in that: The specific steps of individually marking each working Bluetooth speaker and dividing the Bluetooth speakers in the scene into different area Bluetooth speakers according to the usage scenario include: Assign a unique identifier to each working Bluetooth speaker, where the identifier is a serial number, a QR code or a logo color; According to the usage scenarios of Bluetooth speakers, the usage scenarios are divided into different areas; Based on the different divided areas, a Bluetooth speaker list is created for each area, and the identifiers, locations and model information of all Bluetooth speakers in the area are recorded to obtain Bluetooth speakers in different areas.

3. The Bluetooth audio management method according to claim 1, characterized in that: According to the Bluetooth audio conditions in each divided area, historical work task data of each Bluetooth audio is obtained according to a preset period, specifically including Bluetooth pairing data, connection time, working time and working status parameters, and the specific steps include: Through the management system or log records of Bluetooth speakers, historical work task data of each Bluetooth speaker is collected, including Bluetooth pairing data, connection time, working time and working status parameters; The collected historical work task data of each Bluetooth speaker is sorted according to region, Bluetooth speaker identifier and time sequence.

4. The Bluetooth audio management method according to claim 1, characterized in that: The specific steps of building a work estimation model based on the historical work task data of the Bluetooth speakers in each area include: Analyze the collected historical work task data of each Bluetooth speaker using statistical analysis methods to identify the characteristic factors that affect the workload of Bluetooth speakers; The characteristic factors that affect the workload of Bluetooth speakers in historical work task data are taken as input, and the workload of Bluetooth speakers is taken as output. A machine learning model is selected for training to obtain a work estimation model.

5. The Bluetooth audio management method according to claim 1, characterized in that: The specific steps of setting the workload threshold segment and setting the corresponding audio working mode based on the workload threshold segment include: According to the usage requirements of the Bluetooth speaker, different workload threshold sections are set, including low workload area, medium workload area and high workload area; For each workload threshold segment, a corresponding audio working mode is set, including energy-saving mode, standard mode and high-performance mode.

6. The Bluetooth audio management method according to claim 1, characterized in that: The real-time acquisition of current work task data of Bluetooth speakers in different areas, and the analysis of the workload of Bluetooth speakers in each area in the future period of time through a work estimation model to obtain workload estimation results of Bluetooth speakers in different areas, specifically includes the following steps: Get the current working task data of Bluetooth speakers in different areas in real time; The characteristic factors that affect the workload of Bluetooth speakers in the current work task data are extracted through data analysis methods; The characteristic factors that affect the workload of Bluetooth speakers in the work task data are input into the work estimation model, and the workload of Bluetooth speakers in each area in the future period is output to obtain the workload estimation results of Bluetooth speakers in different areas.

7. The Bluetooth audio management method according to claim 1, characterized in that: The specific steps of determining the workload threshold segment to which the workload estimation results of the Bluetooth speakers in different areas belong, and dynamically adjusting the working modes of the Bluetooth speakers in different areas based on the determination results include: Compare the obtained workload estimation results of the Bluetooth speakers in different areas with the set workload threshold segments respectively, determine the workload threshold segments to which the workload estimation results of the Bluetooth speakers in different areas belong, and obtain a determination result; Based on the judgment results, the working modes of Bluetooth speakers in different areas are dynamically adjusted, specifically, the low workload area, medium workload area and high workload area are adjusted to energy-saving mode, standard mode and high-performance mode respectively; After adjusting the working mode, continuously monitor the working status of Bluetooth speakers in different areas.

8. Intelligent terminal, characterized in that: The smart terminal includes a processor and a memory, the memory stores a computer program, and the processor executes the Bluetooth audio management method according to any one of claims 1 to 7 according to the computer program.

9. Bluetooth audio system, characterized in that, The Bluetooth audio system comprises the smart terminal according to claim 8 and: The division identification module is used to separately identify each working Bluetooth speaker and divide the Bluetooth speakers in the scene into different area Bluetooth speakers according to the usage scenario; The data acquisition module is used to obtain the historical working task data of each Bluetooth speaker according to the Bluetooth speaker conditions in each divided area and according to the preset period, including Bluetooth pairing data, connection time, working time and working status parameters; A model building module, used to build a work estimation model based on the historical work task data of Bluetooth speakers in each area; A mode definition module, used to set a workload threshold segment, and set a corresponding audio working mode based on the workload threshold segment; The analysis and estimation module is used to obtain the current work task data of Bluetooth speakers in different areas in real time, and analyze the workload of Bluetooth speakers in each area in the next cycle through the work estimation model to obtain the workload estimation results of Bluetooth speakers in different areas; The dynamic adjustment module is used to determine the workload threshold segment to which the workload estimation results of the Bluetooth speakers in different areas belong, and based on the determination results, dynamically adjust the working modes of the Bluetooth speakers in different areas.

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