Music sharing method and system based on intelligent Bluetooth headset and Bluetooth headset

Abstract

The invention relates to the technical field of music sharing, and particularly discloses a music sharing method and system based on an intelligent Bluetooth headset and the Bluetooth headset. Comparing the working state signal interference evaluation parameters of each Bluetooth earphone with a working state signal interference evaluation parameter threshold value of the Bluetooth earphone, and if the working state signal interference evaluation parameter of a certain Bluetooth earphone is greater than the working state signal interference evaluation parameter threshold value of the Bluetooth earphone, switching a working channel of the Bluetooth earphone; according to the method, the quality of each channel is evaluated, the to-be-adjusted Bluetooth headset is subjected to channel switching according to each channel switching reference index of the to-be-adjusted Bluetooth headset, and the working channels of the Bluetooth headset are dynamically switched, so that the Bluetooth headset can be helped to maintain stable connection, disconnection or unstable signal conditions are reduced, and the service life of the Bluetooth headset is prolonged. And the data transmission rate can be improved, and congestion is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of music sharing, and in particular to a music sharing method and system based on an intelligent Bluetooth headset, and a Bluetooth headset. Background Art

[0002] In modern society, people's demand for social sharing is increasing. With the popularity of smart phones and other portable devices, people are increasingly inclined to wireless. As a representative of wireless audio devices, Bluetooth headsets meet users' needs for portability and freedom. Smart Bluetooth headsets allow users to easily share music with people around them, enhancing the fun of social interaction. Many smart Bluetooth headsets integrate smart assistant functions, such as voice control, voice assistant, etc., which provides a more convenient interactive method for music sharing. Therefore, it is necessary to propose a music sharing method, system and Bluetooth headset based on smart Bluetooth headsets.

[0003] For example, the invention patent with announcement number: CN112464196B discloses a connection method, device and storage medium for a Bluetooth headset. The method includes: obtaining the biometric information of a first user wearing a Bluetooth headset, matching the biometric information of the first user with the biometric information of an authorized user pre-stored in the terminal; and controlling the state of the Bluetooth headset according to the matching result, thereby improving the security and privacy of communication between the terminal and the Bluetooth headset.

[0004] Based on the above solution, it is found that there are still some shortcomings in music sharing, which are specifically reflected in the following aspects: (1) The current music sharing method based on Bluetooth headsets does not comprehensively analyze the degree of interference of the Bluetooth headset working status signal, which is not conducive to improving the smoothness of music playback, reducing problems such as noise and other problems in music playback, and improving connection stability, which is not conducive to optimizing the user experience.

[0005] (2) The current music sharing method based on Bluetooth headsets cannot improve the synchronization of multi-person music sharing by dynamically switching the working channels of Bluetooth headsets, which is not conducive to maintaining the synchronization of music playback of multiple Bluetooth headsets and cannot meet user needs. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a music sharing method and system based on a smart Bluetooth headset and a Bluetooth headset, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides a music sharing method based on smart Bluetooth headsets, including: obtaining network environment data of each Bluetooth headset during the music sharing process, evaluating the degree of environmental interference and the connection stability of the Bluetooth headset, and obtaining the signal interference evaluation parameters of the working status of each Bluetooth headset after processing.

[0008] The Bluetooth headset working status signal interference assessment parameter threshold is extracted from the Bluetooth headset database, and the working status signal interference assessment parameter of each Bluetooth headset is compared with the Bluetooth headset working status signal interference assessment parameter threshold. If the working status signal interference assessment parameter of a Bluetooth headset is greater than or equal to the working status signal interference assessment parameter threshold, the working channel of the Bluetooth headset is switched.

[0009] The Bluetooth headset that needs to switch channels is marked as the Bluetooth headset to be adjusted, the status data of each channel of the Bluetooth headset to be adjusted is obtained, the quality of each channel of the Bluetooth headset to be adjusted is evaluated, and the reference indicators of each channel switching of the Bluetooth headset to be adjusted are obtained through comprehensive analysis, and the channel of the Bluetooth headset to be adjusted is switched according to the reference indicators of each channel switching of the Bluetooth headset to be adjusted.

[0010] As a further method, the degree of environmental interference and the connection stability of the Bluetooth headset are evaluated. The specific analysis process is: based on the network environment data of the Bluetooth headset, including the number of audio interruptions, audio interruption frequency and audio playback delay of each Bluetooth headset, the connection stability evaluation index of each Bluetooth headset is obtained after processing.

[0011] According to the set Bluetooth headset signal interference radius, the signal interference area of ​​each Bluetooth headset is obtained, and the signal interference sources in the signal interference area are monitored to obtain the number of signal interference sources, the working power of each signal interference source, and the straight-line distance between each signal interference source and the Bluetooth headset in the signal interference area to which it belongs. Comprehensive analysis is then performed to obtain the environmental interference level assessment index of each Bluetooth headset.

[0012] According to the connection stability evaluation index of each Bluetooth headset and the environmental interference degree evaluation index of each Bluetooth headset, a comprehensive analysis is performed to obtain the signal interference evaluation parameters of the working status of each Bluetooth headset.

[0013] As a further method, the comprehensive analysis obtains the reference indicators for channel switching of the Bluetooth headset to be adjusted. The specific analysis process is: based on the channel data of the Bluetooth headset to be adjusted, including the packet loss rate, synchronization error and channel bandwidth utilization of each channel of the Bluetooth headset to be adjusted, a comprehensive analysis is performed to obtain the quality evaluation value of each channel, and the number of Bluetooth headset communications on each channel is obtained, and the reference indicators for channel switching of the Bluetooth headset to be adjusted are obtained through comprehensive analysis.

[0014] As a further method, the channel of the Bluetooth headset to be adjusted is switched according to the channel switching reference indicators of the Bluetooth headset to be adjusted. The specific analysis process is: sorting the channel switching reference indicators in order from large to small, and extracting the channel corresponding to the maximum channel switching reference indicator as the communication channel of the Bluetooth headset to be adjusted.

[0015] As a further method, the signal interference evaluation parameter of each Bluetooth headset working status is a quantitative evaluation data obtained by comprehensively analyzing the connection stability evaluation index of each Bluetooth headset and the environmental interference degree evaluation index of each Bluetooth headset. It is used to quantitatively evaluate the degree of signal interference suffered by each Bluetooth headset in the working state, and provide a basis for switching the working channel of the Bluetooth headset.

[0016] As a further method, the reference index for switching each channel of the Bluetooth headset to be adjusted is quantitative evaluation data obtained by comprehensive analysis of the quality evaluation value of each channel and the number of Bluetooth headset communications on each channel, which is used to quantitatively evaluate the channel quality of the Bluetooth headset and provide a basis for switching the working channel of the Bluetooth headset.

[0017] As a further method, the specific numerical expression of the interference evaluation parameter of the working state signal of each Bluetooth headset is:

[0018]

[0019] In the formula, α r represents the signal interference evaluation parameter of the rth Bluetooth headset working state, H Y→r represents the rth Bluetooth headset connection stability evaluation index, H X→r represents the r-th Bluetooth headset environment interference degree assessment index, r represents the number of each Bluetooth headset, r=1,2,3...h, h represents the total number of Bluetooth headsets, ε1 represents the signal interference assessment impact factor corresponding to the preset Bluetooth headset connection stability assessment index, ε2 represents the signal interference assessment impact factor corresponding to the preset Bluetooth headset environment interference degree.

[0020] As a further method, the reference index of each channel switching of the Bluetooth headset to be adjusted is specifically expressed as:

[0021]

[0022] In the formula, It represents the s-th channel switching reference index of the Bluetooth headset, e represents a natural constant, s represents the number of each channel, s=1,2,3...t, t represents the total number of channels, Qs represents the channel quality evaluation value of the s-th channel, Gs represents the number of Bluetooth headset communications on the s-th channel, γ1 represents the channel switching reference index influencing factor corresponding to the preset channel quality, and γ2 represents the channel switching reference index influencing factor corresponding to the preset number of Bluetooth headset communications.

[0023] The second aspect of the present invention provides a music sharing system based on smart Bluetooth headsets, including: a data acquisition module, used to obtain network environment data of each Bluetooth headset during the music sharing process, evaluate the degree of environmental interference and the connection stability of the Bluetooth headset, and obtain signal interference evaluation parameters of the working status of each Bluetooth headset after processing.

[0024] The data analysis module is used to extract the Bluetooth headset working status signal interference assessment parameter threshold from the Bluetooth headset database, and compare the working status signal interference assessment parameters of each Bluetooth headset with the Bluetooth headset working status signal interference assessment parameter threshold. If the working status signal interference assessment parameter of a Bluetooth headset is greater than or equal to the Bluetooth headset working status signal interference assessment parameter threshold, the working channel of the Bluetooth headset is switched.

[0025] The Bluetooth headset database is used to store data related to the operation of the Bluetooth headset.

[0026] The comprehensive evaluation module is used to mark the Bluetooth headset that needs to switch channels as the Bluetooth headset to be adjusted, obtain the status data of each channel of the Bluetooth headset to be adjusted, evaluate the quality of each channel of the Bluetooth headset to be adjusted, comprehensively analyze and obtain the reference indicators of each channel switching of the Bluetooth headset to be adjusted, and switch the channel of the Bluetooth headset to be adjusted according to the reference indicators of each channel switching of the Bluetooth headset to be adjusted.

[0027] The third aspect of the present invention provides a Bluetooth headset based on a music sharing method of a smart Bluetooth headset, comprising: a radio frequency receiver for capturing electromagnetic wave signals from a Bluetooth transmission source and converting them into electrical signals.

[0028] The Bluetooth controller is used to evaluate the communication channel quality of the Bluetooth headset and perform channel switching according to the obtained channel quality evaluation result.

[0029] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0030] (1) The present invention provides a music sharing method, system and Bluetooth headset based on a smart Bluetooth headset. By dynamically switching the working channel of the Bluetooth headset, the Bluetooth headset can help maintain a stable connection and reduce the occurrence of disconnection or signal instability. When the channel quality is good, the data transmission rate can be increased, the transmission time of music files can be reduced, and the playback synchronization can be maintained.

[0031] (2) The present invention analyzes and evaluates the signal interference level of the Bluetooth headset in its working state, and can reduce the signal interference level and packet loss through processing, thereby improving the fluency of music playback, reducing problems such as hum and noise in music playback, and improving connection stability, which is conducive to optimizing user experience.

[0032] (3) By evaluating the communication channel quality of the Bluetooth headset, the present invention can timely detect changes in signal strength, thereby taking measures to maintain a stable connection, which helps to reduce interruptions and delays in music playback and improve synchronization. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0034] Figure 1 It is a schematic diagram of the method flow of the present invention. DETAILED DESCRIPTION

[0035] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0036] Reference Figure 1 As shown, the first aspect of the present invention provides a music sharing method based on smart Bluetooth headsets, including: obtaining network environment data of each Bluetooth headset during the music sharing process, evaluating the degree of environmental interference and the connection stability of the Bluetooth headset, and obtaining signal interference evaluation parameters of the working status of each Bluetooth headset after processing.

[0037] Specifically, the degree of environmental interference and the connection stability of the Bluetooth headset are evaluated, and the specific analysis process is: based on the network environment data of the Bluetooth headset, including the number of audio interruptions, audio interruption frequency and audio playback delay of each Bluetooth headset, the critical number of audio interruptions, critical audio interruption frequency and critical audio playback delay of each Bluetooth headset are extracted from the Bluetooth headset database, and the connection stability evaluation index of each Bluetooth headset is obtained after processing.

[0038] In a specific embodiment, the number of audio interruptions of the Bluetooth headset is monitored according to a set time period, and the length of the time period is extracted, and a comprehensive analysis is performed to obtain the connection stability evaluation index of each Bluetooth headset. The specific numerical expression is:

[0039]

[0040] In the formula, H Y→r represents the rth Bluetooth headset connection stability evaluation index, r represents the number of the Bluetooth headset, U W→r Indicates the number of audio interruptions of the rth Bluetooth headset, UM→r Indicates the audio interruption frequency of the rth Bluetooth headset, T represents the set time period, U N→r Indicates the audio playback delay of the rth Bluetooth headset. Indicates the number of critical audio interruptions of the Bluetooth headset. Indicates the critical audio interruption frequency of the Bluetooth headset. represents the critical audio playback delay of the Bluetooth headset, ρ1 represents the environmental interference degree influence factor corresponding to the set number of audio interruption times of the Bluetooth headset, ρ2 represents the environmental interference degree influence factor corresponding to the set audio interruption frequency of the Bluetooth headset, and ρ3 represents the environmental interference degree influence factor corresponding to the set audio playback delay of the Bluetooth headset.

[0041] In a specific embodiment, the connection stability evaluation index of each Bluetooth headset can not only be obtained by the above calculation method, but also by measuring the key performance indicators of the Bluetooth headset, such as signal strength (RSS I), transmission rate, delay, etc. These indicators can reflect the stability of the connection. In addition, the connection data of the Bluetooth headset under different usage situations, such as connection time, number of disconnections, reconnection time, etc., can be collected, and the connection stability can be evaluated through statistical analysis, and the connection stability evaluation index of each Bluetooth headset can be obtained through comprehensive analysis.

[0042] In a specific embodiment, collecting network environment data of Bluetooth headsets, such as the number of audio interruptions, the frequency of audio interruptions, and the audio playback delay, usually requires the use of special software tools or scripting for real-time monitoring. For example, a third-party monitoring application can collect data in real time by connecting to a Bluetooth headset on a mobile phone or computer. Some operating systems may have built-in tools for monitoring the status of Bluetooth devices, such as bluetoothctl or hcitool. These tools can provide some real-time data, such as connection status and signal strength, and scripts can also be written to monitor the performance of Bluetooth headsets. For example, the signal strength and connection status of Bluetooth devices can be monitored using Python's pybluez library.

[0043] It should be explained that, in this embodiment, the more audio interruptions of each Bluetooth headset, the greater the audio interruption frequency and the longer the audio playback delay, the more unstable the connection of each Bluetooth headset is, and the smaller the corresponding connection stability evaluation index of each Bluetooth headset is.

[0044] It should be explained that the connection stability evaluation index of each Bluetooth headset in the present embodiment is a quantitative evaluation data obtained by comprehensively analyzing the number of audio interruptions, audio interruption frequency and audio playback delay of each Bluetooth headset. It is used to quantitatively evaluate the degree to which each Bluetooth headset is interfered by the network environment in its working state, and provide a basis for switching the working channel of the Bluetooth headset.

[0045] Furthermore, according to the set Bluetooth headset signal interference radius, the signal interference area of ​​each Bluetooth headset is obtained, and the signal interference sources in the signal interference area are monitored to obtain the number of signal interference sources, the working power of each signal interference source, and the straight-line distance between each signal interference source and the Bluetooth headset in the signal interference area to which it belongs. The critical number of signal interference sources, the critical working power of each signal interference source, and the straight-line distance between each critical signal interference source and the Bluetooth headset in the signal interference area to which it belongs are extracted from the Bluetooth headset database, and the environmental interference degree evaluation index of each Bluetooth headset is obtained through comprehensive analysis. The specific numerical expression is:

[0046]

[0047] In the formula, H X→r represents the evaluation index of the rth Bluetooth headset environment interference level, β r→j represents the jth signal interference source of the rth Bluetooth headset, j represents the number of each signal interference source, j=1,2,3...d, d represents the total number of signal interference sources, β K→r→j represents the working power of the jth signal interference source of the rth Bluetooth headset, β V→r→j represents the straight-line distance between the jth signal interference source of the rth Bluetooth headset and the Bluetooth headset in the signal interference area, β 0 Indicates the number of critical signal interference sources, Indicates the working power of each critical signal interference source, It represents the straight-line distance between each critical signal interference source and the Bluetooth headset in the signal interference area to which it belongs, ρ4 represents the influence factor of the environmental interference degree corresponding to the set signal interference source, ρ5 represents the influence factor of the environmental interference degree corresponding to the working power of the set signal interference source, and ρ6 represents the influence factor of the environmental interference degree corresponding to the straight-line distance between the set signal interference source and the Bluetooth headset in the signal interference area to which it belongs.

[0048] In a specific embodiment, the environmental interference level assessment index of each Bluetooth headset can not only be calculated using the above formula, but can also be obtained by introducing possible interference sources in different environments, such as other Bluetooth devices, Wi-Fi devices, microwave ovens, mobile phones, etc., and observing the signal fluctuations of the Bluetooth headset. In addition, the quality of the Bluetooth signal can be analyzed by software, including parameters such as the signal-to-noise ratio and bit error rate. These parameters can reflect the impact of interference on the signal, and the environmental interference level assessment index of each Bluetooth headset can be obtained by comprehensive analysis.

[0049] In a specific embodiment, monitoring the signal interference sources in the signal interference area is a complex process, including: using a wireless signal analyzer to detect and analyze wireless signals. Using this device, the surrounding wireless signals can be detected, including the number of interference sources, operating power, and distance from the Bluetooth headset. Design an external sensor system that can connect to the headset via Bluetooth to monitor the wireless signals around the headset in real time. The sensor can measure the strength, frequency, and other parameters of the signal to infer information about the interference source. Some specialized software tools may support deep integration with Bluetooth headsets and can provide real-time signal interference analysis. These tools may need to be used in conjunction with the API or SDK provided by the headset manufacturer. Custom scripts or programs can be written to monitor the working status of the Bluetooth headset. This may involve using operating system-level tools such as the ping command to monitor latency or using iwconfig to obtain detailed information about the wireless signal. Integrate specific hardware modules in the Bluetooth headset for monitoring and analyzing surrounding wireless signals. This may require cooperation with the headset manufacturer for custom development. Combined with machine learning and artificial intelligence algorithms, interference sources can be identified by analyzing large amounts of signal data and predicting their power and distance. This usually requires a large amount of data and advanced algorithm knowledge.

[0050] It should be explained that, in this embodiment, the more signal interference sources there are, the greater the working power of each signal interference source, and the closer the straight-line distance between each signal interference source and the Bluetooth headset in the signal interference area to which it belongs, the greater the degree to which each Bluetooth headset is interfered with by the environment in the working state, and the greater the corresponding Bluetooth headset environmental interference degree assessment index.

[0051] It should be explained that the environmental interference level assessment index of each Bluetooth headset in the present embodiment is a quantitative assessment data obtained by comprehensively analyzing the number of signal interference sources, the working power of each signal interference source, and the straight-line distance between each signal interference source and the Bluetooth headset in the signal interference area to which it belongs. It is used to quantitatively assess the degree to which each Bluetooth headset is affected by environmental interference in its working state, and to provide a basis for switching the working channel of the Bluetooth headset.

[0052] Furthermore, according to the connection stability evaluation index of each Bluetooth headset and the environmental interference degree evaluation index of each Bluetooth headset, a comprehensive analysis is performed to obtain the signal interference evaluation parameter of each Bluetooth headset working state, and the specific numerical expression is:

[0053]

[0054] In the formula, α r represents the signal interference evaluation parameter of the rth Bluetooth headset working state, H Y→r represents the rth Bluetooth headset connection stability evaluation index, H X→rrepresents the r-th Bluetooth headset environment interference degree assessment index, r represents the number of each Bluetooth headset, r=1,2,3...h, h represents the total number of Bluetooth headsets, ε1 represents the signal interference assessment impact factor corresponding to the preset Bluetooth headset connection stability assessment index, ε2 represents the signal interference assessment impact factor corresponding to the preset Bluetooth headset environment interference degree.

[0055] In a specific embodiment, the signal interference evaluation parameters of each Bluetooth headset working state can not only be calculated by the above formula, but also can be obtained by using a spectrum analyzer to monitor the signal interference situation in the working frequency band of the Bluetooth headset. In addition to evaluating the interference degree by analyzing the strength and frequency of the interference signal, the anti-interference ability of the Bluetooth headset can also be tested by simulating various typical interference environments in the laboratory, such as high-speed movement, multiple obstacles, electromagnetic interference, etc., and comprehensively analyzing and obtaining the signal interference evaluation parameters of each Bluetooth headset working state.

[0056] It needs to be explained that the signal interference evaluation parameter of the working status of each Bluetooth headset in the present embodiment is a quantitative evaluation data obtained by comprehensively analyzing the connection stability evaluation index of each Bluetooth headset and the environmental interference degree evaluation index of each Bluetooth headset. It is used to quantitatively evaluate the degree of signal interference suffered by each Bluetooth headset in the working state, and provide a basis for switching the working channel of the Bluetooth headset.

[0057] The Bluetooth headset working status signal interference assessment parameter threshold is extracted from the Bluetooth headset database, and the working status signal interference assessment parameter of each Bluetooth headset is compared with the Bluetooth headset working status signal interference assessment parameter threshold. If the working status signal interference assessment parameter of a Bluetooth headset is greater than or equal to the working status signal interference assessment parameter threshold, the working channel of the Bluetooth headset is switched.

[0058] The Bluetooth headset that needs to switch channels is marked as the Bluetooth headset to be adjusted, the status data of each channel of the Bluetooth headset to be adjusted is obtained, the quality of each channel of the Bluetooth headset to be adjusted is evaluated, and the reference indicators of each channel switching of the Bluetooth headset to be adjusted are obtained through comprehensive analysis, and the channel of the Bluetooth headset to be adjusted is switched according to the reference indicators of each channel switching of the Bluetooth headset to be adjusted.

[0059] Specifically, the comprehensive analysis obtains the reference index of each channel switching of the Bluetooth headset to be adjusted. The specific analysis process is: according to the channel data of the Bluetooth headset to be adjusted, including the packet loss rate, synchronization error and channel bandwidth utilization rate of each channel of the Bluetooth headset to be adjusted, the packet loss rate, critical synchronization error and critical channel bandwidth utilization rate of the critical channel of the Bluetooth headset to be adjusted are extracted from the Bluetooth headset database, and the quality evaluation value of each channel is obtained by comprehensive analysis, and the number of Bluetooth headset communications of each channel is obtained from the Bluetooth headset database, and the reference index of each channel switching of the Bluetooth headset to be adjusted is obtained by comprehensive analysis. The specific numerical expression is:

[0060]

[0061] In the formula, It represents the s-th channel switching reference index of the Bluetooth headset, e represents a natural constant, s represents the number of each channel, s=1,2,3...t, t represents the total number of channels, Qs represents the channel quality evaluation value of the s-th channel, Gs represents the number of Bluetooth headset communications on the s-th channel, γ1 represents the channel switching reference index influencing factor corresponding to the preset channel quality, and γ2 represents the channel switching reference index influencing factor corresponding to the preset number of Bluetooth headset communications.

[0062] The reference index of each channel switching of the Bluetooth headset to be adjusted can not only be calculated by the above formula, but also can be obtained by using a spectrum analyzer or professional Bluetooth test equipment to monitor the interference level of each channel, including interference caused by other Bluetooth devices, Wi-Fi, microwave ovens, etc. In addition, it can also be obtained by simulating channel switching in the actual use environment, recording the connection stability and reliability after each switching, such as the number of disconnections, reconnection time and data transmission tests on different channels, evaluating the transmission rate and transmission efficiency of each channel, and obtaining it through comprehensive evaluation.

[0063] Furthermore, the quality evaluation values ​​of each channel can be obtained not only by testing whether the Bluetooth headset uses an effective channel selection algorithm, such as adaptive frequency hopping (AFH), and evaluating its effect in an actual environment, but also by testing the data transmission rate of the Bluetooth headset on different channels, evaluating the impact of the channel on data transmission efficiency and establishing Bluetooth connections on different channels, observing the stability and reliability of the connection, and evaluating the channel quality by recording the number of disconnections and reconnection time. It can also be calculated by a formula, and the specific numerical expression is:

[0064]

[0065] In the formula, Q s represents the channel quality assessment value of the sth channel, Ps→1 represents the packet loss rate of the sth channel, P s→2 represents the synchronization error of the sth channel, P s→3 represents the channel bandwidth utilization of the s-th channel, represents the critical packet loss rate of the channel, represents the critical synchronization error of the channel, represents the critical channel bandwidth utilization of the channel, σ1 represents the channel quality impact factor corresponding to the packet loss rate of the preset channel, σ2 represents the channel quality impact factor corresponding to the synchronization error of the preset channel, and σ3 represents the channel quality impact factor corresponding to the channel bandwidth utilization of the preset channel.

[0066] It should be explained that the quality evaluation value of each channel in this embodiment is a quantitative evaluation data obtained by comprehensively analyzing the packet loss rate, synchronization error and channel bandwidth utilization of each channel of the Bluetooth headset to be adjusted. It is used to quantitatively evaluate the channel quality of the Bluetooth headset and provide a basis for switching the working channel of the Bluetooth headset.

[0067] It should be explained that the packet loss rate, synchronization error and channel bandwidth utilization of each channel of the Bluetooth headset to be adjusted in this embodiment are collected through a complex process, including: selecting a test tool: Bluetooth analysis tool: such as Bluetooth Analyzer, Wi reshark (with a Bluetooth adapter) or other tools specifically used to analyze Bluetooth signals. Network packet capture tool: such as Wi reshark, used to capture data packets on a wireless network. Connect the Bluetooth headset to the music player. Make sure that the headset and the player are in a state where they can communicate. Start playing music on the music player. Make sure that the test device can hear the music playing to confirm that the headset is working. Capture data packets: Start the Bluetooth analysis tool or network packet capture tool on the test device. Let the music play for a while to collect enough data. Analyze the data: Packet loss rate: Check for errors and retransmissions in the packet capture and calculate the packet loss rate. Synchronization error: Analyze the timestamp of the data packet to determine whether there is a synchronization error. Channel bandwidth utilization: Calculate the amount of data on the Bluetooth channel during the test and divide it by the total bandwidth to obtain the bandwidth utilization.

[0068] Furthermore, the channel switching of the Bluetooth headset to be adjusted is performed according to the channel switching reference indicators of the Bluetooth headset to be adjusted. The specific analysis process is: sorting the channel switching reference indicators in descending order, and extracting the channel corresponding to the maximum channel switching reference indicator as the communication channel of the Bluetooth headset to be adjusted.

[0069] It should be explained that the reference indicators for channel switching of the Bluetooth headset to be adjusted in this embodiment are quantitative evaluation data obtained through comprehensive analysis of the quality evaluation values ​​of each channel and the number of Bluetooth headset communications on each channel. They are used to quantitatively evaluate the channel quality of the Bluetooth headset and provide a basis for switching the working channels of the Bluetooth headset.

[0070] The second aspect of the present invention provides a music sharing system based on a smart Bluetooth headset, comprising: a data acquisition module, a data analysis module, a Bluetooth headset database and a comprehensive evaluation module.

[0071] The data acquisition module is used to obtain the network environment data of each Bluetooth headset during the music sharing process, evaluate the degree of environmental interference and the connection stability of the Bluetooth headset, and obtain the signal interference evaluation parameters of the working status of each Bluetooth headset after processing.

[0072] The data analysis module is used to extract the Bluetooth headset working status signal interference assessment parameter threshold from the Bluetooth headset database, and compare the working status signal interference assessment parameters of each Bluetooth headset with the Bluetooth headset working status signal interference assessment parameter threshold. If the working status signal interference assessment parameter of a Bluetooth headset is greater than or equal to the Bluetooth headset working status signal interference assessment parameter threshold, the working channel of the Bluetooth headset is switched.

[0073] The Bluetooth headset database is used to store data related to the operation of the Bluetooth headset.

[0074] The comprehensive evaluation module is used to mark the Bluetooth headset that needs to switch channels as the Bluetooth headset to be adjusted, obtain the status data of each channel of the Bluetooth headset to be adjusted, evaluate the quality of each channel of the Bluetooth headset to be adjusted, comprehensively analyze and obtain the reference indicators of each channel switching of the Bluetooth headset to be adjusted, and switch the channel of the Bluetooth headset to be adjusted according to the reference indicators of each channel switching of the Bluetooth headset to be adjusted.

[0075] The third aspect of the present invention provides a Bluetooth headset based on a music sharing method of a smart Bluetooth headset, comprising: a radio frequency receiver for capturing electromagnetic wave signals from a Bluetooth transmitting source and converting them into electrical signals.

[0076] The Bluetooth controller is used to evaluate the communication channel quality of the Bluetooth headset and perform channel switching according to the obtained channel quality evaluation result.

[0077] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A music sharing method based on a smart Bluetooth headset, characterized in that: include: Obtain network environment data during music sharing of each Bluetooth headset, evaluate the degree of environmental interference and the connection stability of the Bluetooth headset, and obtain the signal interference evaluation parameters of the working status of each Bluetooth headset after processing; Extracting a Bluetooth headset working state signal interference assessment parameter threshold from a Bluetooth headset database, comparing each Bluetooth headset working state signal interference assessment parameter with the Bluetooth headset working state signal interference assessment parameter threshold, and switching the working channel of the Bluetooth headset if the Bluetooth headset working state signal interference assessment parameter is greater than or equal to the Bluetooth headset working state signal interference assessment parameter threshold; The Bluetooth headset that needs to switch channels is marked as the Bluetooth headset to be adjusted, the status data of each channel of the Bluetooth headset to be adjusted is obtained, the quality of each channel of the Bluetooth headset to be adjusted is evaluated, and the reference indicators of each channel switching of the Bluetooth headset to be adjusted are obtained through comprehensive analysis, and the channel of the Bluetooth headset to be adjusted is switched according to the reference indicators of each channel switching of the Bluetooth headset to be adjusted.

2. The music sharing method based on smart Bluetooth headset according to claim 1, characterized in that: The environmental interference level and Bluetooth headset connection stability are evaluated, and the specific analysis process is as follows: Based on the network environment data of the Bluetooth headsets, including the number of audio interruptions, audio interruption frequency, and audio playback delay of each Bluetooth headset, a connection stability evaluation index of each Bluetooth headset is obtained after processing; According to the set Bluetooth headset signal interference radius, the signal interference area of ​​each Bluetooth headset is obtained, and the signal interference sources in the signal interference area are monitored to obtain the number of signal interference sources, the working power of each signal interference source, and the straight-line distance between each signal interference source and the Bluetooth headset in the signal interference area to which it belongs. Comprehensive analysis is performed to obtain the environmental interference degree evaluation index of each Bluetooth headset; According to the connection stability evaluation index of each Bluetooth headset and the environmental interference degree evaluation index of each Bluetooth headset, a comprehensive analysis is performed to obtain the signal interference evaluation parameters of the working status of each Bluetooth headset.

3. The music sharing method based on smart Bluetooth headset according to claim 1, characterized in that: The comprehensive analysis obtains the reference index of each channel switching of the Bluetooth headset to be adjusted, and the specific analysis process is as follows: According to the channel data of the Bluetooth headset to be adjusted, including the packet loss rate, synchronization error and channel bandwidth utilization rate of each channel of the Bluetooth headset to be adjusted, a comprehensive analysis is performed to obtain the quality evaluation value of each channel, and the number of Bluetooth headset communications on each channel is obtained, and a comprehensive analysis is performed to obtain the reference indicators for switching each channel of the Bluetooth headset to be adjusted.

4. The music sharing method based on smart Bluetooth headset according to claim 3 is characterized in that: The specific analysis process of switching the channels of the Bluetooth headset to be adjusted according to the reference indicators of the channel switching of the Bluetooth headset to be adjusted is as follows: The channel switching reference indicators are sorted in descending order, and the channel corresponding to the maximum channel switching reference indicator is extracted as the communication channel of the Bluetooth headset to be adjusted.

5. The music sharing method based on smart Bluetooth headset according to claim 2 is characterized in that: The signal interference evaluation parameter of each Bluetooth headset working state is a quantitative evaluation data obtained by comprehensively analyzing the connection stability evaluation index of each Bluetooth headset and the environmental interference degree evaluation index of each Bluetooth headset. It is used to quantitatively evaluate the degree of signal interference suffered by each Bluetooth headset in the working state, and provide a basis for switching the working channel of the Bluetooth headset.

6. The music sharing method based on smart Bluetooth headset according to claim 3 is characterized in that: The reference index for switching channels of the Bluetooth headset to be adjusted is quantitative evaluation data obtained by comprehensive analysis of the quality evaluation values ​​of each channel and the number of Bluetooth headset communications on each channel, and is used to quantitatively evaluate the channel quality of the Bluetooth headset and provide a basis for switching the working channel of the Bluetooth headset.

7. The music sharing method based on smart Bluetooth headset according to claim 2, characterized in that: The specific numerical expression of the interference evaluation parameter of the working state signal of each Bluetooth headset is: In the formula, α r represents the signal interference evaluation parameter of the rth Bluetooth headset working state, H Y→r represents the rth Bluetooth headset connection stability evaluation index, H X→r represents the r-th Bluetooth headset environment interference degree assessment index, r represents the number of each Bluetooth headset, r=1,2,3...h, h represents the total number of Bluetooth headsets, ε1 represents the signal interference assessment impact factor corresponding to the preset Bluetooth headset connection stability assessment index, ε2 represents the signal interference assessment impact factor corresponding to the preset Bluetooth headset environment interference degree.

8. The music sharing method based on smart Bluetooth headset according to claim 3 is characterized in that: The specific numerical expression of the reference index of each channel switching of the Bluetooth headset to be adjusted is: In the formula, It represents the s-th channel switching reference index of the Bluetooth headset, e represents a natural constant, s represents the number of each channel, s=1,2,3...t, t represents the total number of channels, Qs represents the channel quality evaluation value of the s-th channel, Gs represents the number of Bluetooth headset communications on the s-th channel, γ1 represents the channel switching reference index influencing factor corresponding to the preset channel quality, and γ2 represents the channel switching reference index influencing factor corresponding to the preset number of Bluetooth headset communications.

9. Music sharing system based on smart Bluetooth headset, characterized by: include: The data acquisition module is used to obtain the network environment data of each Bluetooth headset during the music sharing process, evaluate the degree of environmental interference and the connection stability of the Bluetooth headset, and obtain the signal interference evaluation parameters of the working status of each Bluetooth headset after processing; A data analysis module is used to extract a Bluetooth headset working state signal interference assessment parameter threshold from a Bluetooth headset database, and compare each Bluetooth headset working state signal interference assessment parameter with the Bluetooth headset working state signal interference assessment parameter threshold. If a Bluetooth headset working state signal interference assessment parameter is greater than or equal to the Bluetooth headset working state signal interference assessment parameter threshold, the working channel of the Bluetooth headset is switched; Bluetooth headset database, used to store data related to Bluetooth headset operation; The comprehensive evaluation module is used to mark the Bluetooth headset that needs to switch channels as the Bluetooth headset to be adjusted, obtain the status data of each channel of the Bluetooth headset to be adjusted, evaluate the quality of each channel of the Bluetooth headset to be adjusted, comprehensively analyze and obtain the reference indicators of each channel switching of the Bluetooth headset to be adjusted, and switch the channel of the Bluetooth headset to be adjusted according to the reference indicators of each channel switching of the Bluetooth headset to be adjusted.

10. A Bluetooth headset using the music sharing method of the smart Bluetooth headset as claimed in any one of claims 1 to 8, characterized in that: include: A radio frequency receiver, used to capture electromagnetic wave signals from a Bluetooth transmitter and convert them into electrical signals; The Bluetooth controller is used to evaluate the communication channel quality of the Bluetooth headset and perform channel switching according to the obtained channel quality evaluation result.

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