CN117939350B - Data intelligent transmission system for Bluetooth headset - Google Patents
Data intelligent transmission system for Bluetooth headset Download PDFInfo
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- 230000005540 biological transmission Effects 0.000 title claims abstract description 124
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R1/00—Details of transducers, loudspeakers or microphones
- H04R1/10—Earpieces; Attachments therefor ; Earphones; Monophonic headphones
- H04R1/1041—Mechanical or electronic switches, or control elements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/336—Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/345—Interference values
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R2201/00—Details of transducers, loudspeakers or microphones covered by H04R1/00 but not provided for in any of its subgroups
- H04R2201/10—Details of earpieces, attachments therefor, earphones or monophonic headphones covered by H04R1/10 but not provided for in any of its subgroups
- H04R2201/105—Manufacture of mono- or stereophonic headphone components
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Abstract
The invention discloses a data intelligent transmission system for a Bluetooth headset, which relates to the technical field of data transmission and is used for solving the problems that the tone quality is possibly reduced, the connection is unstable and even the connection is broken due to some factors of the existing Bluetooth headset in the aspect of data transmission; the self-adaptive transmission module is used for collecting comprehensive parameters through an integrated environment sensing mechanism, comprehensively evaluating the data transmission environment through the comprehensive parameters and self-adaptively adjusting the transmission frequency and the power level by utilizing the data transmission environment; the invention carries out real-time sensing analysis on the data transmission environment by integrating the environment sensing mechanism, and adaptively adjusts the transmission frequency and the power level according to the analysis result, thereby ensuring the excellent tone quality and the prolonged service life of the earphone battery.
Description
Technical Field
The invention relates to the technical field of data transmission, in particular to a data intelligent transmission system for a Bluetooth headset.
Background
Bluetooth headset is a headset that is wirelessly connected to devices such as cell phones, computers, etc. through bluetooth technology, which provides the convenience of getting rid of the harness of wires, enabling users to enjoy greater freedom in listening to music, making a call, or performing other auditory activities. The development of bluetooth headsets has gone through a variety of products ranging from the original single ear designs to the current stereo earplugs, headsets, and real wireless headsets (TWS).
However, the existing bluetooth headset has some limitations in terms of data transmission, and some factors may cause sound quality degradation, unstable connection and even disconnection, and the conventional bluetooth headset cannot optimize the limitations, so that a data intelligent transmission system for the bluetooth headset is designed;
In order to solve the above-mentioned drawbacks, a technical solution is now provided.
Disclosure of Invention
The invention aims to solve the problems that the sound quality is possibly reduced, the connection is unstable and even the connection is disconnected due to some factors of the existing Bluetooth headset in the aspect of data transmission, and provides a data intelligent transmission system for the Bluetooth headset.
The aim of the invention can be achieved by the following technical scheme:
a data intelligent transmission system for a Bluetooth headset comprises:
The self-adaptive transmission module is used for collecting comprehensive parameters through an integrated environment sensing mechanism, comprehensively evaluating the data transmission environment through the comprehensive parameters and self-adaptively adjusting the transmission frequency and the power level by utilizing the data transmission environment;
The comprehensive parameters comprise a wireless signal interference condition, a user distance and an obstacle parameter, a signal winding value, a distance evaluation value and an object shadow value are respectively obtained through analysis according to the comprehensive parameters, after normalization processing, a base circle is established by taking the signal winding value as a base circle radius, a cone is established by taking the distance evaluation value as high, the object shadow value is compared with the distance evaluation value, when the object shadow value is larger than the distance evaluation value, the difference value between the object shadow value and the distance evaluation value is calculated, the difference value is taken as a sphere radius, when the object shadow value is smaller than the distance evaluation value, the object shadow value is taken as a sphere radius, a cone vertex is taken as a sphere center, the established cone is cut by taking the sphere path, the abnormal volume formed by the rest of the cone is calculated, and the abnormal volume is recorded as a data transmission value;
Comparing the obtained data transmission value with a plurality of preset data transmission value intervals, setting transmission frequencies and power grades of different grades in the plurality of data transmission value intervals, determining the transmission frequency and power grade corresponding to the interval when the data transmission value interval to which the data transmission value belongs is determined, and adaptively adjusting the transmission frequency and the power grade;
The disconnection module is used for analyzing specific reasons when the data transmission environment is poor and carrying out different voice prompts on the user according to the reasons;
the Bluetooth headset is also used for automatically attempting reconnection after the Bluetooth headset transmits disconnection;
And the reverse monitoring module is used for obtaining data parameters according to the data conditions transmitted by the Bluetooth headset and analyzing whether the operation state of the monitoring equipment is normal or not according to the data parameters.
Further, the disconnection module analyzes specific reasons when the data transmission environment is poor, and performs different voice prompts on the user according to the reasons, wherein the specific operation steps are as follows:
Firstly, comparing a data transmission value obtained by analysis in the self-adaptive transmission module with a preset data transmission threshold, and when the actual data transmission value is lower than the preset data transmission threshold, sending out an early warning voice prompt to a user to prompt the user that disconnection is about to happen;
tracing back the calculation parameters of the data transmission values, and judging whether the calculation parameters are in a preset interval range or not by comparing the signal winding value, the distance evaluation value and the object shadow value with a preset signal winding value interval, a distance evaluation value interval and an object shadow value interval respectively;
When the signal winding value is not in the preset signal winding value interval range, determining that the wireless signal interference is large, and pre-warning the voice prompt as follows: at present, the signal interference is overlarge, the position is replaced, and disconnection is avoided;
When the distance evaluation value is not within the preset distance evaluation value interval range, determining that the distance between the earphone and the equipment is too large, and giving an early warning that the voice prompt is: too far from the equipment, please get close to the equipment, avoid disconnection;
when the object shadow value is not in the preset object shadow value interval range, determining that the barriers between the earphone and the equipment are too many, and giving an early warning that the voice prompt is: the barriers are too many, please get close to the equipment as much as possible, and avoid disconnection.
Further, the specific operation steps of the disconnection module for automatically attempting reconnection after the Bluetooth headset transmits disconnection are as follows:
when disconnection occurs, automatically attempting to reestablish connection, wherein the reconnection attempt comprises adjustment of transmission parameters, including frequency, power and coding mode;
meanwhile, according to the parameters of the Bluetooth headset, the automatic reconnection attempt frequency is changed, and the method comprises the following specific steps:
The method comprises the steps of comprehensively analyzing the moving speed, the battery electric quantity percentage and the hardware quality score of the Bluetooth headset, respectively calibrating the moving speed, the battery electric quantity percentage and the hardware quality score to be ys, dl and pf, and substituting the normalized values into the following formulas: To obtain a state parameter ZCZ, wherein: /(I) Preset weight coefficients of the moving speed, the battery power percentage and the hardware quality score are respectively obtained;
and comparing the state parameter value obtained by calculation with three preset state parameter value intervals by taking the state parameter value obtained by calculation as a standard for measuring the current state evaluation of the Bluetooth headset, wherein the three state parameter value intervals are respectively and correspondingly provided with three automatic reconnection try frequencies, and when the state parameter value interval to which the state parameter value belongs is determined, determining the automatic reconnection try frequency of the Bluetooth headset and carrying out automatic reconnection operation according to the frequency.
Further, the specific operation steps of the reverse monitoring module for analyzing whether the operation state of the monitoring equipment is normal according to the data parameters are as follows:
Data parameter analysis is carried out on data transmitted to the Bluetooth headset through equipment, the abnormality of the equipment is monitored in the reverse direction, and the data parameters of specific analysis comprise: data transmission rate, data packet loss rate, delay, connection stability and equipment health index;
respectively analyzing according to the data parameters to obtain a speed average value, a digital loss value, a delay evaluation value, a continuous stable value and a set index value, respectively calibrating the speed average value, the digital loss value, the delay evaluation value, the continuous stable value and the set index value as S, D, Y, W and Z, and substituting the normalized values into the following formula: To obtain a set-up value SZZ;
comparing the obtained shape setting value with a preset shape setting standard value, and judging that the current state of the equipment is good when the shape setting value is larger than or equal to the preset shape setting standard value; when the preset shape value is smaller than the preset shape standard value, the current running state of the equipment is judged to be poor, a warning prompt is sent to a user through the Bluetooth headset, meanwhile, the Bluetooth headset connection record stored in the equipment is automatically deleted, and the old invalid connection record is cleaned.
Further, the specific operation steps of the reverse monitoring module for respectively analyzing the speed average value, the digital loss value, the delay evaluation value, the continuous stability value and the set instruction value according to the data parameters are as follows:
The data transmission rate calculates variance of the real-time value of the data transmission rate by monitoring the stability and the change condition of the data transmission rate, and marks the variance as a speed average value;
The data packet loss rate calculates the average value of the intercepted packet loss rates in a plurality of preset time periods by detecting the loss rate in the data packet transmission process, and records the average value as a digital loss value;
Delaying the receiving and transmitting time of the monitoring data packet through the network probe, calculating the average value of the delay, and recording the average value as a delay evaluation value;
the connection stability is recorded as a connection stability value by recording the times of data disconnection and reconnection in a preset time range and summing;
The equipment health index comprises working temperature, memory occupancy rate, CPU occupancy rate and service time by detecting the health index of the equipment;
The working temperature is detected by detecting the using temperature of the equipment, presetting a standard using temperature interval, recording the real-time temperature duration exceeding the standard using temperature interval, calculating the duration duty ratio, and recording as a different temperature value;
the using time is obtained by summing the using time and the delivery time of the obtained equipment and is recorded as a duration value;
and finally, respectively normalizing the abnormal temperature value, the memory occupancy rate, the CPU occupancy rate and the time length value, and then summing the normalized abnormal temperature value, the memory occupancy rate, the CPU occupancy rate and the time length value to be recorded as a set instruction value.
Further, the specific operation steps of the adaptive transmission module for respectively analyzing and obtaining the signal winding value, the distance evaluation value and the object shadow value according to the comprehensive parameters are as follows:
The interference condition of the wireless signal in the comprehensive parameters is detected by the signal-to-noise ratio and the interference intensity, and the SNR is calculated by measuring the average power of the signal and the average power of the noise;
interference strength evaluates interference strength by analyzing non-target signal strengths within a particular frequency band;
The obtained SNR and the non-target signal strength are respectively calibrated to xz and fm, and the normalized signal strength is substituted into the following formula: wxr=xz 0.936/fm 1.034+0.536 to obtain a signal-to-noise value WXR;
the user distance in the comprehensive parameters is analyzed through a received signal strength indication and a time difference ranging, wherein the received signal strength indication is RSSI;
the time difference ranging calculates the distance by measuring the propagation time difference of the signal from the transmitting end to the receiving end, performs multiple tests, records the time difference, calculates the average value, and marks the average value as the time difference value;
and respectively calibrating the obtained RSSI value and the time difference value as rs and cc, and substituting the normalized RSSI value and the normalized time difference value into the following formula: YJZ =1.33 (rs+0.265)/(cc-0.31) +1.55 to give a distance evaluation value YJZ;
The obstacle is analyzed by direct path loss and multipath effect, wherein the direct path loss is judged by comparing the signal attenuation degree when the obstacle exists or not, and the signal attenuation value is detected through a plurality of times of detection and recorded as the signal attenuation value;
Multipath effect analysis is that in an environment with an obstacle, a signal can experience reflection, refraction or scattering multipath effects, the influence of the obstacle on signal propagation is indirectly quantified by analyzing the effects including frequency response and phase change, wherein the frequency response is the transmission characteristic of the descriptive signal at different frequencies, and delay time of the measured signal in a frequency domain is recorded as a sound value; the phase transformation is a phase difference which occurs when signals on different paths reach a receiving end, and the phase difference is recorded as a phase difference value;
the obtained sound value and the phase difference value are multiplied by constants l and p respectively for summation after normalization treatment, and the obtained value is recorded as a frequency phase value;
finally, calibrating the calculated signal attenuation value and the frequency phase value as xx and px respectively, and substituting the normalized signal attenuation value and the frequency phase value into the following formula: To obtain the shadow value WYZ.
Compared with the prior art, the invention has the beneficial effects that:
According to the invention, through integrating an environment sensing mechanism, real-time sensing analysis is carried out on the data transmission environment, and the transmission frequency and the power level are adaptively adjusted according to the analysis result, so that the excellent sound quality and the prolonged service life of the earphone battery are ensured;
According to the invention, the specific reason of disconnection is obtained according to the data analysis after the Bluetooth earphone disconnection, a corresponding early warning prompt is given, the earphone use experience of a user is optimized, and the frequency of automatic reconnection can be adjusted according to the parameters of the earphone, so that the connection process is optimized and the power consumption is reduced;
according to the invention, the data transmission parameters of the equipment are monitored in a reverse mode to evaluate the running state of the equipment, whether the equipment is normal or not is judged according to the data, a warning is sent to a user when necessary, invalid connection records are cleaned, and the connection performance is optimized.
Drawings
For the convenience of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
Fig. 1 is a general block diagram of the system of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the present disclosure is for the purpose of describing particular embodiments only, and is not intended to be limiting of the disclosure. As used in the specification and claims of this disclosure, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should be further understood that the term "and/or" as used in the present disclosure and claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
As shown in fig. 1, a data intelligent transmission system for a bluetooth headset comprises a self-adaptive transmission module, a disconnection module and a reverse monitoring module;
The self-adaptive transmission module is used for collecting comprehensive parameters through an integrated environment sensing mechanism, comprehensively evaluating the data transmission environment through the comprehensive parameters and self-adaptively adjusting the transmission frequency and the power level by utilizing the data transmission environment;
The data transmission environment is comprehensively evaluated by the comprehensive parameters collected by the environment sensing mechanism, wherein the comprehensive parameters comprise the wireless signal interference condition, the user distance and the obstacle parameters, and the data transmission environment is comprehensively evaluated;
The signal-to-noise ratio is an important parameter for measuring signal quality, represents the ratio of signal strength to background noise strength, and can calculate SNR by measuring the average power of signals and the average power of noise, and when the calculated SNR is higher, the corresponding interference level is lower; the interference intensity is evaluated by analyzing the non-target signal intensity in the specific frequency band, and decibel (dB) is used as a unit, when the non-target signal intensity is larger, the corresponding interference intensity is higher; and respectively calibrating the obtained SNR and the non-target signal strength as xz and fm, and substituting the normalized signal strength into the following formula: wxr=xz 0.936/fm 1.034+0.536 to obtain a signal winding value WXR, and taking the signal winding value WXR as a standard for measuring the interference condition of the wireless signal, if the signal winding value WXR is higher, the wireless signal interference is smaller, otherwise, the wireless signal interference is higher;
The user distance is analyzed through a received signal strength indication and a time difference ranging, wherein the received signal strength indication is RSSI, the RSSI is an visual parameter for measuring the distance between the Bluetooth headset and the paired equipment, the received signal strength is represented, and the higher the RSSI value is, the closer the distance is; conversely, the farther apart the RSSI value is expressed in decibel milliwatts (dBm); the time difference ranging calculates the distance by measuring the propagation time difference of the signal from the transmitting end to the receiving end, performs multiple tests, records the time difference, calculates the average value, marks the average value as the time difference value, and takes the difference value as the standard for measuring the time difference ranging; and respectively calibrating the obtained RSSI value and the time difference value as rs and cc, and substituting the normalized RSSI value and the normalized time difference value into the following formula: YJZ =1.33 (rs+0.265)/(cc-0.31) +1.55 to obtain a distance evaluation value YJZ, and taking the distance evaluation value YJZ as a standard for measuring the distance of the user, when the distance evaluation value YJZ is larger, the corresponding user distance is closer, and conversely, the user distance is farther;
The obstacle is analyzed by direct path loss and multipath effect, wherein the direct path loss is a parameter for evaluating the influence of the obstacle on the signal, the obstacle is judged by comparing the signal attenuation degree when the obstacle exists or not, the signal attenuation value is detected through a plurality of times of detection and recorded as a signal attenuation value, and the signal attenuation value is used as a standard for measuring the direct path loss; multipath effect analysis is that in an environment with an obstacle, a signal can experience reflection, refraction or scattering multipath effects, the influence of the obstacle on signal propagation is indirectly quantified by analyzing the effects including frequency response and phase change, wherein the frequency response is the transmission characteristic of the signal at different frequencies, delay time of the signal in a frequency domain is measured and recorded as a response value, and the response value is used as a standard for measuring the frequency response; the phase transformation is a phase difference which occurs when signals on different paths reach a receiving end, the phase difference is recorded as a phase difference value, and the phase difference value is used as a standard for measuring the phase transformation; the obtained sound value and the phase difference value are multiplied and summed with constants l and p after normalization treatment, the values of l and p are 1.224 and 1.641 respectively, and the obtained value is marked as a frequency phase value and is used as a standard for measuring multipath effect analysis; and calibrating the calculated signal attenuation value and the frequency phase value as xx and px respectively, and substituting the normalized signal attenuation value and the frequency phase value into the following formula: Obtaining an object shadow value WYZ, and taking the object shadow value WYZ as a standard for measuring the influence of the obstacle;
After normalization processing is carried out on the obtained signal winding value WXR, the distance evaluation value YJZ and the object shadow value WYZ respectively, a base circle is built by taking the signal winding value as the radius of the base circle, a cone is built by taking the distance evaluation value as high, the object shadow value is compared with the distance evaluation value, when the object shadow value is larger than the distance evaluation value, the difference value between the object shadow value and the distance evaluation value is calculated, the difference value is taken as the radius of a sphere, when the object shadow value is smaller than the distance evaluation value, the object shadow value is taken as the radius of the sphere, a sphere is built by taking the vertex of the cone as the center of the sphere, the cone is cut by taking the path of the sphere, the abnormal volume formed by the rest part of the cone is calculated, the abnormal volume is recorded as a data transmission value, and the data transmission value is taken as the transmission environment standard of measurement data;
Comparing the obtained data transmission value with a plurality of preset data transmission value intervals, wherein the number of the data transmission value intervals can be five, eight or ten, the transmission frequencies and the power levels of different levels are correspondingly set in the plurality of data transmission value intervals respectively, when the data transmission value interval to which the data transmission value belongs is determined, the transmission frequency and the power level corresponding to the interval are determined, the transmission frequency and the power level are adaptively adjusted, and the stability of connection and the battery life of the earphone are improved while the tone quality is ensured; the data transmission value is higher, the corresponding transmission frequency and power are adjusted to the lowest level to save energy, the data transmission value is lower, and the corresponding transmission frequency and power are adjusted to the highest level to maintain connection.
The disconnection module is used for analyzing specific reasons when the data transmission environment is poor, and carrying out different voice prompts on the user according to the reasons;
Firstly, comparing a data transmission value obtained by analysis in the self-adaptive transmission module with a preset data transmission threshold, and when the actual data transmission value is lower than the preset data transmission threshold, sending out an early warning voice prompt to a user to prompt the user that disconnection is likely to happen; and backtracking the calculation parameters of the data transmission values, and judging whether the calculated parameters are in a preset interval range or not by respectively comparing the signal winding value, the distance evaluation value and the object shadow value with a preset signal winding value interval, a distance evaluation value interval and an object shadow value interval, and determining that the wireless signal interference is larger when the signal winding value is not in the preset signal winding value interval range, wherein the early warning voice prompt is as follows: at present, the signal interference is overlarge, the position is replaced, and disconnection is avoided; when the distance evaluation value is not within the preset distance evaluation value interval range, determining that the distance between the earphone and the equipment is too large, and giving an early warning that the voice prompt is: too far from the equipment, please get close to the equipment, avoid disconnection; when the object shadow value is not in the preset object shadow value interval range, determining that the barriers between the earphone and the equipment are too many, and giving an early warning that the voice prompt is: the barriers are too many, please get close to the equipment as much as possible, so that disconnection is avoided;
When disconnection occurs, connection is automatically attempted to be reestablished, and the reconnection attempt can adjust transmission parameters, including frequency, power and coding modes, so as to adapt to the current environment; meanwhile, according to the parameters of the Bluetooth headset, the automatic reconnection attempt frequency is changed, comprehensive analysis is carried out by acquiring the moving speed, the battery electric quantity percentage and the hardware quality score of the Bluetooth headset, the obtained moving speed, the battery electric quantity percentage and the hardware quality score are respectively calibrated into ys, dl and pf, and the moving speed, the battery electric quantity percentage and the hardware quality score are substituted into the following formulas after normalization processing: To obtain a state parameter ZCZ, wherein: /(I) The method comprises the steps of respectively obtaining preset weight coefficients of the moving speed, the battery electric quantity percentage and the hardware quality score, and respectively taking the values as follows: 1.224, 0.923 and 0.993; and comparing the state parameter value obtained by calculation with three preset state parameter value intervals by taking the state parameter value obtained by calculation as a standard for measuring the current state evaluation of the Bluetooth headset, wherein the three state parameter value intervals are respectively and correspondingly provided with three automatic reconnection try frequencies, when the state parameter value interval to which the state parameter value belongs is determined, determining the automatic reconnection try frequency of the Bluetooth headset, and carrying out automatic reconnection operation according to the frequency, so that the problem that excessive power consumption is caused by unsuccessful repeated reconnection attempts when the current state of the Bluetooth headset is poor is avoided.
The reverse monitoring module is used for obtaining data parameters according to the data conditions transmitted by the Bluetooth headset and analyzing whether the operation state of the monitoring equipment is normal or not according to the data parameters;
Data parameter analysis is carried out on data transmitted to the Bluetooth headset through equipment, the abnormality of the equipment is monitored in the reverse direction, and the data parameters of specific analysis comprise: data transmission rate, data packet loss rate, delay, connection stability and equipment health index;
The data transmission rate is obtained by monitoring the stability and change condition of the data transmission rate, abnormal rate fluctuation possibly indicates equipment failure or connection problem, calculating variance of a real-time value of the data transmission rate, and recording the variance as a speed average value which is used as a standard for measuring the stability of the data transmission rate; the data packet loss rate is obtained by detecting the loss rate in the data packet transmission process, wherein the high loss rate possibly implies that the connecting equipment has a problem, calculating the average value of the intercepted packet loss rates in a plurality of preset time periods, and recording the average value as a data packet loss value, wherein the data packet loss value is used as a standard for measuring the evaluation of the data packet loss rate; delaying the receiving and transmitting time of the data packet monitored by the network probe, calculating the average value of the delay, and marking the average value as a delay evaluation value, wherein the delay evaluation value is used as a standard for measuring the delay; the connection stability is recorded by recording the times of data disconnection and reconnection in a preset time range and summing the times, and the times are recorded as a connection stability value, and the connection stability value is used as a standard for measuring the connection stability; the equipment health index comprises the steps of detecting the health index of the equipment, including working temperature, memory occupancy rate, CPU occupancy rate and service time, analyzing the working temperature, detecting the service temperature of the equipment, presetting a standard service temperature interval, recording real-time temperature duration exceeding the standard service temperature interval, calculating the duration duty ratio, and recording as a different temperature value; the using time is obtained by summing the using time and the delivery time of the obtained equipment and is recorded as a duration value; respectively normalizing the abnormal temperature value, the memory occupancy rate, the CPU occupancy rate and the time length value, and then summing the normalized abnormal temperature value, the memory occupancy rate and the time length value, and marking the normalized abnormal temperature value, the memory occupancy rate and the CPU occupancy rate as set index values, wherein the set index values are used as standards for measuring the health indexes of the equipment;
and respectively calibrating the obtained speed average value, the number loss value, the delay evaluation value, the continuous stable value and the set index value as S, D, Y, W and Z, and substituting the normalized values into the following formula: To obtain a set-up value SZZ;
Comparing the obtained shape setting value with a preset shape setting standard value, judging that the current state of the equipment is good when the shape setting value is larger than or equal to the preset shape setting standard value, judging that the current running state of the equipment is poor when the shape setting value is smaller than the preset shape setting standard value, sending a warning prompt to a user through a Bluetooth headset, automatically deleting the Bluetooth headset connection record stored in the equipment, and cleaning the old invalid connection record so as to reduce interference and optimize the connection process.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (6)
1. The utility model provides a bluetooth is data intelligence transmission system for earphone which characterized in that includes:
The self-adaptive transmission module is used for collecting comprehensive parameters through an integrated environment sensing mechanism, comprehensively evaluating the data transmission environment through the comprehensive parameters and self-adaptively adjusting the transmission frequency and the power level by utilizing the data transmission environment;
The comprehensive parameters comprise a wireless signal interference condition, a user distance and an obstacle parameter, a signal winding value, a distance evaluation value and an object shadow value are respectively obtained through analysis according to the comprehensive parameters, after normalization processing, a base circle is established by taking the signal winding value as a base circle radius, a cone is established by taking the distance evaluation value as high, the object shadow value is compared with the distance evaluation value, when the object shadow value is larger than the distance evaluation value, the difference value between the object shadow value and the distance evaluation value is calculated, the difference value is taken as a sphere radius, when the object shadow value is smaller than the distance evaluation value, the object shadow value is taken as a sphere radius, a cone vertex is taken as a sphere center, the established cone is cut by taking the sphere path, the abnormal volume formed by the rest of the cone is calculated, and the abnormal volume is recorded as a data transmission value;
Comparing the obtained data transmission value with a plurality of preset data transmission value intervals, setting transmission frequencies and power grades of different grades in the plurality of data transmission value intervals, determining the transmission frequency and power grade corresponding to the interval when the data transmission value interval to which the data transmission value belongs is determined, and adaptively adjusting the transmission frequency and the power grade;
The disconnection module is used for analyzing specific reasons when the data transmission environment is poor and carrying out different voice prompts on the user according to the reasons;
the Bluetooth headset is also used for automatically attempting reconnection after the Bluetooth headset transmits disconnection;
And the reverse monitoring module is used for obtaining data parameters according to the data conditions transmitted by the Bluetooth headset and analyzing whether the operation state of the monitoring equipment is normal or not according to the data parameters.
2. The intelligent data transmission system for bluetooth headset according to claim 1, wherein the disconnection module analyzes specific reasons when the data transmission environment is poor, and performs different voice prompts for the user according to the reasons, as follows:
Firstly, comparing a data transmission value obtained by analysis in the self-adaptive transmission module with a preset data transmission threshold, and when the actual data transmission value is lower than the preset data transmission threshold, sending out an early warning voice prompt to a user to prompt the user that disconnection is about to happen;
tracing back the calculation parameters of the data transmission values, and judging whether the calculation parameters are in a preset interval range or not by comparing the signal winding value, the distance evaluation value and the object shadow value with a preset signal winding value interval, a distance evaluation value interval and an object shadow value interval respectively;
When the signal winding value is not in the preset signal winding value interval range, determining that the wireless signal interference is large, and pre-warning the voice prompt as follows: at present, the signal interference is overlarge, the position is replaced, and disconnection is avoided;
When the distance evaluation value is not within the preset distance evaluation value interval range, determining that the distance between the earphone and the equipment is too large, and giving an early warning that the voice prompt is: too far from the equipment, please get close to the equipment, avoid disconnection;
when the object shadow value is not in the preset object shadow value interval range, determining that the barriers between the earphone and the equipment are too many, and giving an early warning that the voice prompt is: the barriers are too many, please get close to the equipment as much as possible, and avoid disconnection.
3. The intelligent data transmission system for a bluetooth headset according to claim 1, wherein the disconnection module automatically attempts to reconnect after the bluetooth headset transmits the disconnection, comprises the following steps:
when disconnection occurs, automatically attempting to reestablish connection, wherein the reconnection attempt comprises adjustment of transmission parameters, including frequency, power and coding mode;
meanwhile, according to the parameters of the Bluetooth headset, the automatic reconnection attempt frequency is changed, and the method comprises the following specific steps:
The method comprises the steps of comprehensively analyzing the moving speed, the battery electric quantity percentage and the hardware quality score of the Bluetooth headset, respectively calibrating the moving speed, the battery electric quantity percentage and the hardware quality score to be ys, dl and pf, and substituting the normalized values into the following formulas: To obtain a state parameter ZCZ, wherein: /(I) Preset weight coefficients of the moving speed, the battery power percentage and the hardware quality score are respectively obtained;
and comparing the state parameter value obtained by calculation with three preset state parameter value intervals by taking the state parameter value obtained by calculation as a standard for measuring the current state evaluation of the Bluetooth headset, wherein the three state parameter value intervals are respectively and correspondingly provided with three automatic reconnection try frequencies, and when the state parameter value interval to which the state parameter value belongs is determined, determining the automatic reconnection try frequency of the Bluetooth headset and carrying out automatic reconnection operation according to the frequency.
4. The intelligent data transmission system for bluetooth headset according to claim 1, wherein the specific operation steps of the reverse monitoring module according to the data parameter analysis monitoring device are as follows:
Data parameter analysis is carried out on data transmitted to the Bluetooth headset through equipment, the abnormality of the equipment is monitored in the reverse direction, and the data parameters of specific analysis comprise: data transmission rate, data packet loss rate, delay, connection stability and equipment health index;
respectively analyzing according to the data parameters to obtain a speed average value, a digital loss value, a delay evaluation value, a continuous stable value and a set index value, respectively calibrating the speed average value, the digital loss value, the delay evaluation value, the continuous stable value and the set index value as S, D, Y, W and Z, and substituting the normalized values into the following formula: To obtain a set-up value SZZ;
comparing the obtained shape setting value with a preset shape setting standard value, and judging that the current state of the equipment is good when the shape setting value is larger than or equal to the preset shape setting standard value; when the preset shape value is smaller than the preset shape standard value, the current running state of the equipment is judged to be poor, a warning prompt is sent to a user through the Bluetooth headset, meanwhile, the Bluetooth headset connection record stored in the equipment is automatically deleted, and the old invalid connection record is cleaned.
5. The intelligent data transmission system for bluetooth headset according to claim 4, wherein the reverse monitoring module respectively analyzes the data parameters to obtain a speed average value, a digital loss value, a delay evaluation value, a continuous stable value and a set finger value, and the specific operation steps are as follows:
The data transmission rate calculates variance of the real-time value of the data transmission rate by monitoring the stability and the change condition of the data transmission rate, and marks the variance as a speed average value;
The data packet loss rate calculates the average value of the intercepted packet loss rates in a plurality of preset time periods by detecting the loss rate in the data packet transmission process, and records the average value as a digital loss value;
Delaying the receiving and transmitting time of the monitoring data packet through the network probe, calculating the average value of the delay, and recording the average value as a delay evaluation value;
the connection stability is recorded as a connection stability value by recording the times of data disconnection and reconnection in a preset time range and summing;
The equipment health index comprises working temperature, memory occupancy rate, CPU occupancy rate and service time by detecting the health index of the equipment;
The working temperature is detected by detecting the using temperature of the equipment, presetting a standard using temperature interval, recording the real-time temperature duration exceeding the standard using temperature interval, calculating the duration duty ratio, and recording as a different temperature value;
the using time is obtained by summing the using time and the delivery time of the obtained equipment and is recorded as a duration value;
and finally, respectively normalizing the abnormal temperature value, the memory occupancy rate, the CPU occupancy rate and the time length value, and then summing the normalized abnormal temperature value, the memory occupancy rate, the CPU occupancy rate and the time length value to be recorded as a set instruction value.
6. The intelligent data transmission system for bluetooth headset according to claim 1, wherein the adaptive transmission module respectively analyzes the integrated parameters to obtain the signal winding value, the distance evaluation value and the object shadow value, and the specific operation steps are as follows:
The interference condition of the wireless signal in the comprehensive parameters is detected by the signal-to-noise ratio and the interference intensity, and the SNR is calculated by measuring the average power of the signal and the average power of the noise;
interference strength evaluates interference strength by analyzing non-target signal strengths within a particular frequency band;
The obtained SNR and the non-target signal strength are respectively calibrated to xz and fm, and the normalized signal strength is substituted into the following formula: wxr=xz 0.936/fm 1.034+0.536 to obtain a signal-to-noise value WXR;
the user distance in the comprehensive parameters is analyzed through a received signal strength indication and a time difference ranging, wherein the received signal strength indication is RSSI;
the time difference ranging calculates the distance by measuring the propagation time difference of the signal from the transmitting end to the receiving end, performs multiple tests, records the time difference, calculates the average value, and marks the average value as the time difference value;
and respectively calibrating the obtained RSSI value and the time difference value as rs and cc, and substituting the normalized RSSI value and the normalized time difference value into the following formula: YJZ =1.33 (rs+0.265)/(cc-0.31) +1.55 to give a distance evaluation value YJZ;
The obstacle is analyzed by direct path loss and multipath effect, wherein the direct path loss is judged by comparing the signal attenuation degree when the obstacle exists or not, and the signal attenuation value is detected through a plurality of times of detection and recorded as the signal attenuation value;
Multipath effect analysis is that in an environment with an obstacle, a signal can experience reflection, refraction or scattering multipath effects, the influence of the obstacle on signal propagation is indirectly quantified by analyzing the effects including frequency response and phase change, wherein the frequency response is the transmission characteristic of the descriptive signal at different frequencies, and delay time of the measured signal in a frequency domain is recorded as a sound value; the phase transformation is a phase difference which occurs when signals on different paths reach a receiving end, and the phase difference is recorded as a phase difference value;
the obtained sound value and the phase difference value are multiplied by constants l and p respectively for summation after normalization treatment, and the obtained value is recorded as a frequency phase value;
finally, calibrating the calculated signal attenuation value and the frequency phase value as xx and px respectively, and substituting the normalized signal attenuation value and the frequency phase value into the following formula: To obtain the shadow value WYZ.
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