CN113656258A - Scene analysis management and control system for intelligent Bluetooth headset based on internet - Google Patents
Scene analysis management and control system for intelligent Bluetooth headset based on internet Download PDFInfo
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Abstract
The invention relates to the technical field of scene analysis of Bluetooth earphones, in particular to an internet-based scene analysis management and control system for an intelligent Bluetooth earphone, which comprises a scene taking unit, a cloud scene unit, a scene identifying unit, a server, a field dividing and locating unit, a field judging unit and a scene display unit; the scene acquisition unit is used for acquiring data of the Bluetooth headset and the corresponding application environment and marking information acquired aiming at the Bluetooth headset and the application scene as scene acquisition information, wherein the scene acquisition information comprises scene blue information and scene ring information; according to the invention, the relevant data of the running Bluetooth headset is acquired and processed, so that the relevant data is analyzed and matched with the previous running record of the Bluetooth headset, the scene corresponding to the running Bluetooth headset is matched, the running data of the Bluetooth headset matched with the corresponding scene is obtained, the scene recognition accuracy is increased, the recognition time is saved, and the working efficiency is improved.
Description
Technical Field
The invention relates to the technical field of scene analysis of Bluetooth headsets, in particular to an internet-based intelligent scene analysis management and control system for Bluetooth headsets.
Background
The Bluetooth headset applies the Bluetooth technology to a hands-free headset, so that a user can avoid annoying wiring stumbling and can easily talk freely in various modes, and the Bluetooth headset is a good tool for improving the efficiency of an action business family since the Bluetooth headset comes out;
when the existing bluetooth headset is applied to different scenes, the consumed power is also different, for example: when listening to music, playing games and playing voice and video, the required functions are different, so that the efficiency is different;
the existing analysis and control method of the Bluetooth headset is that real-time display of electric quantity appears on a connecting device of the Bluetooth headset, only the residual electric quantity can be collected and counted and displayed, different application scenes cannot be rapidly identified and matched, so that the electric quantity consumption is too high, and meanwhile, data analysis cannot be performed on the operation of the Bluetooth headset, so that an electric quantity consumption signal is sent to a user in time;
therefore, an internet-based scene analysis management and control system for the intelligent Bluetooth headset is provided.
Disclosure of Invention
The invention aims to provide an internet-based intelligent scene analysis management and control system for a Bluetooth headset, which is used for acquiring and processing the running related data of the Bluetooth headset, so that the running related data of the Bluetooth headset is analyzed and matched with the previous running record of the Bluetooth headset, the scene corresponding to the running Bluetooth headset is matched, the running data of the Bluetooth headset matched with the corresponding scene is acquired, the scene recognition accuracy is improved, the recognition time is saved, and the working efficiency is improved; through the running data of the bluetooth headset who analyzes the extraction, the degree of association is handled, and each item of data is subjected to secondary processing, so that the influence value with the electric quantity consumption is obtained through the handling, and accurate consumption calculation is carried out according to each item of influence data, so that a corresponding reminding signal is generated, and the phenomenon that the electric quantity consumption of the bluetooth headset is abnormal and the use experience of a user is influenced is avoided.
The purpose of the invention can be realized by the following technical scheme:
the system comprises a scene acquisition unit, a cloud scene unit, a scene identification unit, a server, a field division unit, a field judgment unit and a scene display unit;
the scene acquisition unit is used for acquiring data of the Bluetooth headset and the corresponding application environment, marking information acquired aiming at the Bluetooth headset and the application scene as scene acquisition information, transmitting the scene acquisition information to the scene identification unit and transmitting the scene acquisition information to the scene determination unit, wherein the scene acquisition information comprises scene blue information and scene ring information;
the cloud scene unit stores scene recording information related to the Bluetooth headset in different scenes, wherein the scene recording information comprises the blue recording information and the ring recording information;
the scene identification unit is used for acquiring scene recording information from the cloud scene unit, carrying out scene identification operation on the scene recording information and the scene ring information together, processing to obtain field setting data, type recording data, time recording data, voice recording data, quality recording data, continuation data, life recording data, consumption recording data and distance recording data, and transmitting the field setting data, the type recording data, the time recording data, the voice recording data, the quality recording data, the continuation data, the life recording data, the consumption recording data and the distance recording data to the server;
the server is used for performing sub-operation on the shape recording data, the time recording data, the sound recording data, the quality recording data, the continuation data, the life recording data, the consumption recording data and the distance recording data to obtain a standard consumption value, a sound recording mean value, a distance difference mean value, two pre-range values, a sound difference shadow conversion factor, a different distance shadow conversion factor, a quality recording shadow conversion factor, a life recording shadow conversion factor, a sound difference initial change value, a different distance initial change value, a quality recording initial change value and a life recording initial change value, and transmitting the standard consumption value, the sound recording mean value, the distance difference mean value, the sound difference shadow conversion factor, the quality recording shadow conversion factor, the sound difference initial change value, the different distance initial change value, the quality recording initial change value and the life recording initial change value to the field decision unit;
the scene judging unit is used for judging the result obtained by the branch operation and the scene blue information to obtain an adjusting signaling and transmitting the adjusting signaling to the scene display unit;
the scene display unit is used for receiving and displaying the scene display unit and sending out a reminding signal at the same time.
Further, the blue information comprises blue type data, blue time data, blue sound data, blue quality data, blue service life data, blue consumption data and blue distance data;
the scene ring information comprises ring field data, ring response data, ring feeling data and ring touch data;
the blue recording information comprises typing data, time recording data, voice recording data, quality recording data, life recording data, consumption recording data and distance recording data;
the loop information includes playground scene data, speech channel scene data, and audio scene data.
Further, the specific operation process of the scene recognition operation is as follows:
acquiring ring field data, ring response data, ring sensing data and ring touch data, and identifying and processing the ring field data, the ring response data, the ring sensing data and the ring touch data to obtain a low-speed signal, a high-speed signal, a less-sensitive signal, a more-sensitive signal, a constant-sensitive signal and a non-sensitive signal;
extracting a low-speed signal, a high-speed signal, a less-responsive signal, a more-responsive signal, a constant-sensitive signal and a non-sensitive signal, carrying out classification judgment on the data of the surrounding field according to the low-speed signal, the high-speed signal, the less-responsive signal, the more-responsive signal, the constant-sensitive signal and the non-sensitive signal, and judging to obtain a game signal, a voice signal and an audio signal;
extracting a game signal, a voice signal and an audio signal, and sequentially associating the game signal, the voice signal and the audio signal with playground scene data, voice channel scene data and audio scene data, namely judging that a corresponding scene is playground scene data when the game signal is identified, judging that the corresponding scene is voice channel scene data when the voice signal is identified, and judging that the corresponding scene is audio scene data when the audio signal is identified;
extracting game signals, voice signals and audio signals, identifying the game signals, the voice signals or the audio signals, extracting corresponding playground scene data or voice channel scene data or audio scene data when the game signals, the voice signals or the audio signals are identified, marking the playground scene data or the voice channel scene data or the audio scene data as fixed field data, and extracting corresponding mark data, time data, voice recording data, mark quality data, mark duration data, life data, mark consumption data and mark distance data according to the corresponding fixed field data.
Further, the specific process of identifying and processing the ring field data, the ring response data, the ring feeling data and the ring touch data is as follows:
extracting circular touch data, calibrating the times of touching equipment in a period of time in the circular touch data as touch data, calibrating a period of time corresponding to the touch data as touch data, performing proportion calculation on the touch data and the touch data, and calculating touch rate data;
setting a preset value of contact, calibrating the preset value as a touch preset value, and comparing the touch preset value with touch rate data to obtain a low-speed signal and a high-speed signal;
extracting loop response data, setting a preset value for opening an application, calibrating the preset value as a pre-response value, and comparing the pre-response value with the loop response data to obtain a less response signal and a more response signal;
the method comprises the steps of extracting ring feeling data, identifying the ring feeling data, generating a signal, generating a constant feeling signal when the ring feeling data is identified, and generating a no feeling signal when the ring feeling data is not identified.
Further, the specific operation process of the split operation is as follows:
selecting recording data according to the fixed-field data, selecting recording data and corresponding recording data according to the recording data, marking time points of a plurality of recording data to obtain a plurality of time points, extracting the recording data of the corresponding time points according to each time point, carrying out mean value calculation on a plurality of recording data, calculating a recording mean value, and carrying out secondary data processing on the recording mean value to obtain a heteronymy value and a positive value;
according to the processing method of the abnormal sound value and the positive sound value, distance data and corresponding time data are selected from the record data and are processed in the same method, and the abnormal distance value and the positive distance value are obtained;
selecting corresponding recording data according to the recording data, and identifying the recording data so as to obtain corresponding low tone quality, standard tone quality and high tone quality;
extracting tone difference value, difference distance value, low tone quality, standard tone quality and high tone quality, recording life data and recording consumption data, and comparing the data influence, specifically:
selecting consumption data, setting the consumption data as dependent variables of all reference data, keeping one of the sound abnormal value, the abnormal distance value, the quality recording data and the life recording data unchanged in sequence, analyzing the change condition of influencing the consumption recording data, analyzing the influence value of each item of data, and obtaining a sound abnormal shadow conversion factor, an abnormal distance shadow conversion factor, a quality recording shadow conversion factor, a life recording shadow conversion factor, a sound abnormal initial change value, an abnormal distance initial change value, a quality recording initial change value and a life recording initial change value.
Further, the specific processing procedure of performing secondary data processing on the note taking mean value is as follows:
selecting a plurality of note data, performing difference calculation on the note data and the note mean value to calculate a plurality of sound difference values, performing mean calculation on the sound difference values according to the calculation mode of the note mean value to calculate the sound difference mean value, performing difference calculation on the sound difference mean value and the sound difference value to calculate two sound differences, setting a preset value corresponding to the two sound differences, marking the preset value corresponding to the two sound differences as two preset values, judging that the note data has abnormal fluctuation when the two sound differences are more than or equal to the two preset values to generate a sound difference signal, and judging that the note data has normal fluctuation when the two sound differences are less than the two preset values to generate a sound positive signal;
and extracting the abnormal sound signal and the harmonic positive signal, and identifying the abnormal sound signal and the harmonic positive signal so as to count the occurrence times of the abnormal sound signal and the harmonic positive signal and calibrate the abnormal sound signal and the harmonic positive signal into abnormal values and harmonic positive values.
Further, the specific process of analyzing the influence values of the data items is as follows:
under the condition of keeping one item of data unchanged, selecting a plurality of different values of a changed value, calibrating the values into a 1-variable value and a 2-variable value, performing difference calculation on the 1-variable value and the 2-variable value to obtain a variable difference value, extracting consumption recording data corresponding to the 1-variable value and the 2-variable value, respectively calibrating the consumption recording data into a 1-consumption value and a 2-consumption value, calculating a difference value between the 1-consumption value and the 2-consumption value to obtain a consumption difference value, and substituting the consumption difference value and the variable difference value into an influence value calculation formula: dependent variable = independent variable u, wherein u is expressed as an influence conversion factor corresponding to the independent variable, so as to calculate a value of u, the dependent variable is substituted and introduced by a consumption difference value, the independent variable is substituted and introduced by a selected variation value, a plurality of different values of one item of value are subjected to the processing according to corresponding consumption data, a plurality of u are obtained, and the average value calculation is performed on the plurality of u, so as to calculate the influence conversion factor u on the strain difference value;
selecting a plurality of independent variable values with zero dependent variable in the process of analyzing the influence value of each item of data, marking one item of data corresponding to the independent variable value as an initial independent variable value, and marking consumption data corresponding to the initial independent variable value as a standard consumption value;
analyzing the influence values of the various data by sequentially analyzing the sound anomaly value, the quality recording data and the life recording data to calculate the influence conversion factors corresponding to the sound anomaly value, the quality recording data and the life recording data, sequentially calibrating the influence conversion factors into a sound anomaly shadow conversion factor, an anomaly shadow conversion factor, a quality recording conversion factor and a life recording shadow conversion factor, and respectively calibrating the initial self-variation values of the sound anomaly value, the quality recording data and the life recording data into a sound anomaly initial variation value, an anomaly initial variation value, a quality recording initial variation value and a life recording initial variation value.
Further, the specific operation process of the determination operation is as follows:
matching the blue data with the typing data to match out corresponding typing data, selecting out fixed field data according to the typing data, and selecting out corresponding sound and abnormal shadow conversion factors, standard consumption values, sound recording mean values, distance difference mean values, two pre-range values, sound difference mean values, two pre-range values, different shadow conversion factors, quality recording shadow conversion factors, life recording shadow conversion factors, sound and abnormal initial change values, different initial change values, quality recording initial change values, life recording initial change values, blue data, blue time data, blue sound data, blue quality data, blue life data, blue consumption data and blue distance data according to the fixed field data;
processing the blue time data and the blue sound data by the same method according to the processing method of the different distance value to obtain blue different-order data;
processing a plurality of corresponding blue distance data, a distance average value, a distance difference average value and two pre-distance values in the blue time data according to a processing method of the blue different time data to obtain blue distance time data;
substituting the sound difference shadow conversion factor, the different distance shadow conversion factor, the quality recording shadow conversion factor, the life recording shadow conversion factor, the sound difference initial change value, the different distance initial change value, the quality recording initial change value and the life recording initial change value into a calculation consumption value calculation formula together with the blue difference data, the blue quality data, the blue life data and the blue distance time data, and calculating the calculation consumption value
；
And extracting a calculation consumption value, comparing the calculation consumption value with the blue consumption data, judging that the consumption is excessive when the blue consumption data is more than or equal to the calculation consumption value, generating an adjusting signaling, judging that the consumption is normal when the blue consumption data is less than the calculation consumption value, not generating the signaling, and transmitting the adjusting signaling to the scene display unit.
Further, the calculation formula for calculating the consumption value is specifically:
wherein,
expressed as a value of the consumption of the calculation,
expressed as a standard consumption value, LY as blue anomaly data, YC as a note-difference initialization value, u1 as a note-difference shadow conversion factor, LJ as blue-distance order data, JC as a difference initialization value, u2 as a difference shadow conversion factor, LZ as blue quality data, ZC as a note-quality initialization value, u3 as a note-quality shadow conversion factor, LS as blue life data, JS as a note-life initialization value, u4 as a note-life shadow conversion factor, r as a consumption total value conversion adjustment factor, and r as a preset value.
The invention has the beneficial effects that:
(1) the relevant data of the running Bluetooth headset is acquired and processed, so that the relevant data is analyzed and matched with the previous running record of the Bluetooth headset, the scene corresponding to the running Bluetooth headset is matched, the running data of the Bluetooth headset matched with the corresponding scene is acquired, the scene identification accuracy is improved, the identification time is saved, and the working efficiency is improved;
through the running data of the bluetooth headset who analyzes the extraction, the degree of association is handled, and each item of data is subjected to secondary processing, so that the influence value with the electric quantity consumption is obtained through the handling, and accurate consumption calculation is carried out according to each item of influence data, so that a corresponding reminding signal is generated, and the phenomenon that the electric quantity consumption of the bluetooth headset is abnormal and the use experience of a user is influenced is avoided.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a system block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention is a scene analysis and control system for an intelligent bluetooth headset based on the internet, including a scene acquisition unit, a cloud scene unit, a scene recognition unit, a server, a field division unit, a field determination unit, and a scene display unit;
the scene taking unit is used for collecting data of the Bluetooth headset and the corresponding application environment, and marking the information collected aiming at the Bluetooth headset and the application scene as scene taking information, the scene taking information comprises scene blue information and scene ring information, the scene blue information comprises blue type data, blue time data, blue sound data, blue quality data, blue service life data, blue consumption data and blue distance data, the blue type data refers to the model of the middle-blue-tooth headset, the blue time data refers to the working time of the middle-blue-tooth headset, the blue sound data refers to the output volume of the currently applied Bluetooth headset mode, the blue quality data refers to the sound quality of the currently applied Bluetooth headset, the sound quality is mainly divided into low-quality, standard-quality and high-quality, the blue service life data refers to the service life of the currently applied Bluetooth headset, the blue consumption data refers to the electric quantity consumption of the currently applied Bluetooth headset, the Bluetooth headset comprises a Bluetooth headset body, a connecting device, a Bluetooth module, a module;
the cloud scene unit is stored with scene recording information related to the Bluetooth earphones in different scenes, the scene recording information comprises blue recording information and ring recording information, the blue recording information comprises time recording data, voice recording data, quality recording data, life recording data, consumption data and distance recording data, the time recording data refers to the model of the Bluetooth earphones in the record, the time recording data refers to the working time of the Bluetooth earphones in the record, the voice recording data refers to the output volume of the Bluetooth earphone mode in the record, the quality recording data refers to the sound quality of the Bluetooth earphones in the record, the sound quality is mainly divided into low sound quality, standard sound quality and high sound quality, the life recording data refers to the service life of the Bluetooth earphones in the record, the consumption data refers to the power consumption of the Bluetooth earphones in the record, and the distance between the Bluetooth earphones and the connecting equipment in the distance recording data refers to the distance between the Bluetooth earphones and the connecting equipment, the ring-recording information comprises playground scene data, voice channel scene data and audio scene data, wherein the playground scene data refers to a scene in which a user performs game operation, the voice channel scene data refers to a scene in which the user performs voice call or video call, and the audio scene data refers to a scene in which the user listens to music or watches video;
the scene identification unit is used for acquiring the mark type data, the time keeping data, the voice recording data, the quality keeping data, the life keeping data, the consumption keeping data, the distance keeping data, the travel scene data, the voice channel scene data and the audio scene data from the cloud scene unit, and carrying out scene identification operation on the mark type data, the time keeping data, the voice recording data, the quality keeping data, the life keeping data, the consumption keeping data and the distance keeping data together with the ring field data, the ring response data, the ring sensing data and the ring touch data, wherein the specific operation process of the scene identification operation is as follows:
the method comprises the steps of acquiring ring field data, ring response data, ring sensing data and ring touch data, and identifying and processing the ring field data, the ring response data, the ring sensing data and the ring touch data, and specifically comprises the following steps:
the method comprises the following steps of extracting ring touch data, calibrating the times of touching equipment in a period of time in the ring touch data to be touch data, calibrating the period of time corresponding to the touch data to be touch data, carrying out proportion calculation on the touch data and the touch data, and calculating touch rate data, wherein a period of time refers to five-minute timing from the moment of starting timing, namely a period of time refers to five minutes, the times of touching the equipment by a user can be acquired through a touch sensor on the equipment, and the proportion calculation has the specific calculation formula: touch rate data = touch times data/touch time data;
setting a preset value of contact, calibrating the preset value as a touch preset value, and comparing the touch preset value with touch rate data, wherein the preset value is as follows: when the touch rate data is less than the touch preset value, judging that the touch frequency is low to generate a low-speed signal, and when the touch rate data is greater than or equal to the touch preset value, judging that the touch frequency is high to generate a high-speed signal;
extracting loop response data, setting a preset value for opening an application, calibrating the preset value as a pre-value, and comparing the pre-value with the loop response data, wherein the method specifically comprises the following steps: when the loop response data is less than the response value, judging that the number of opened applications is small, and generating a less response signal, and when the loop response data is greater than or equal to the response value, judging that the number of opened applications is large, and generating a more response signal;
extracting the ring feeling data, identifying the ring feeling data, generating a signal, generating a constant feeling signal when the ring feeling data is identified, and generating a no feeling signal when the ring feeling data is not identified;
low-speed signal, high-speed signal, few signal, many signal, the signal of feeling of deciding and whether feel the signal, according to low-speed signal, high-speed signal, few signal, many signal, decide the signal of feeling of deciding and whether feel the signal and carry out the categorised judgement of surrounding field data, specifically do:
when the high-speed signal and the constant-sense signal are simultaneously identified or the high-speed signal and the no-sense signal are simultaneously distinguished, the situation that a user is conducting game operation is judged, corresponding environment data is marked as a game operation scene, and a game signal is generated;
when the fixed-sense signal is identified, judging that the user carries out voice communication, marking the corresponding ring field data as a voice channel scene, and generating a voice signal;
when the high-speed signal and the constant-sense signal are not identified, judging that the user carries out audio appreciation, calibrating the corresponding ambient data into an audio scene to generate an audio signal, and when other conditions occur, not judging the scene;
extracting a game signal, a voice signal and an audio signal, and sequentially associating the game signal, the voice signal and the audio signal with playground scene data, voice channel scene data and audio scene data, namely judging that a corresponding scene is playground scene data when the game signal is identified, judging that the corresponding scene is voice channel scene data when the voice signal is identified, and judging that the corresponding scene is audio scene data when the audio signal is identified;
extracting game signals, voice signals and audio signals, identifying the game signals, the voice signals or the audio signals, extracting corresponding playground scene data or voice channel scene data or audio scene data when the game signals, the voice signals or the audio signals are identified, marking the playground scene data or the voice channel scene data or the audio scene data as field-fixed data, and extracting corresponding mark data, time data, voice recording data, mark quality data, mark continuation data, life data, mark consumption data and mark distance data according to the corresponding field-fixed data;
transmitting field-fixing data, type-recording data, time-recording data, voice-recording data, quality-recording data, continuation data, life-recording data, consumption-recording data and distance-recording data to a server;
the server is used for transmitting the received field fixing data, the received type recording data, the received time recording data, the received voice recording data, the received quality recording data, the received duration recording data, the received service life recording data, the received consumption recording data and the received distance recording data to the field position dividing unit;
the field division unit is used for performing division operation on the type recording data, the time recording data, the voice recording data, the quality recording data, the duration recording data, the life recording data, the consumption recording data and the distance recording data, and the specific operation process of the division operation is as follows:
selecting recording data according to the fixed-field data, selecting sound recording data and corresponding time recording data according to the recording data, marking time points of the plurality of time recording data to obtain a plurality of time points, extracting the sound recording data of the corresponding time points according to each time point, performing mean value calculation on the plurality of sound recording data, and calculating a sound recording mean value, wherein the specific calculation formula is as follows:
wherein, Pj is represented as a note mean value, JYi is represented as note data, i takes a value of 1, 2,3 … … n, and n is a positive integer;
selecting a plurality of note data, performing difference calculation on the note data and the note mean value to calculate a plurality of sound difference values, performing mean calculation on the sound difference values according to the calculation mode of the note mean value to calculate the sound difference mean value, performing difference calculation on the sound difference mean value and the sound difference value to calculate two sound differences, setting a preset value corresponding to the two sound differences, marking the preset value corresponding to the two sound differences as two preset values, judging that the note data has abnormal fluctuation when the two sound differences are more than or equal to the two preset values to generate a sound difference signal, and judging that the note data has normal fluctuation when the two sound differences are less than the two preset values to generate a sound positive signal;
extracting the abnormal sound signal and the harmonic positive signal, and identifying the abnormal sound signal and the harmonic positive signal so as to count the occurrence times of the abnormal sound signal and the harmonic positive signal and mark the abnormal sound signal and the harmonic positive signal as an abnormal sound value and a harmonic positive value;
selecting distance data and corresponding time data according to the time data, marking the time points of the time data to obtain a plurality of time points, extracting the distance data of the corresponding time points according to each time point, carrying out mean value calculation on the distance data, and calculating the mean value of the distance, wherein the specific calculation formula is as follows:
wherein Pl is expressed as a distance average value, JLi is expressed as distance data, i takes on a value of 1, 2,3 … … n, and n is a positive integer;
selecting a plurality of distance data, performing difference calculation on the distance data and a distance average value to calculate a plurality of distance difference values, performing average calculation on the distance difference values according to the distance average value calculation mode, calculating a distance average value, performing difference calculation on the distance average value and the distance difference value, calculating a two-distance difference, setting a preset value corresponding to the two-distance difference, marking the preset value corresponding to the two-distance difference as a two-preset distance value, judging that the distance of the distance data is too large when the two-distance difference is larger than or equal to the two-preset distance value to generate an different distance signal, and judging that the distance data is in a normal range when the two-distance difference is smaller than the two-preset distance value to generate a positive distance signal;
extracting the different distance signals and the positive distance signals, identifying the different distance signals and the positive distance signals, counting the occurrence times of the different distance signals and the positive distance signals, and calibrating the different distance signals and the positive distance signals into different distance values and positive distance values;
selecting corresponding recording data according to the recording data, and identifying the recording data so as to obtain corresponding low tone quality, standard tone quality and high tone quality;
extracting tone difference value, difference distance value, low tone quality, standard tone quality and high tone quality, recording life data and recording consumption data, and comparing the data influence, specifically:
selecting consumption data, setting the consumption data as a dependent variable of all reference data, and keeping one of the sound abnormal value, the distance abnormal value, the quality data and the life data unchanged in sequence, so as to analyze the change condition influencing the consumption data and further analyze the influence value of each item of data, specifically:
under the condition of keeping one item of data unchanged, selecting a plurality of different values of a changed value, calibrating the values into a 1-variable value and a 2-variable value, performing difference calculation on the 1-variable value and the 2-variable value to obtain a variable difference value, extracting consumption recording data corresponding to the 1-variable value and the 2-variable value, respectively calibrating the consumption recording data into a 1-consumption value and a 2-consumption value, calculating a difference value between the 1-consumption value and the 2-consumption value to obtain a consumption difference value, and substituting the consumption difference value and the variable difference value into an influence value calculation formula: dependent variable = independent variable u, wherein u is expressed as an influence conversion factor corresponding to the independent variable, so as to calculate a value of u, the dependent variable is substituted and introduced by a consumption difference value, the independent variable is substituted and introduced by a selected variation value, a plurality of different values of one item of value are subjected to the processing according to corresponding consumption data, a plurality of u are obtained, and the average value calculation is performed on the plurality of u, so as to calculate the influence conversion factor u on the strain difference value;
selecting a plurality of independent variable values with zero dependent variable in the process of analyzing the influence value of each item of data, marking one item of data corresponding to the independent variable value as an initial independent variable value, and marking consumption data corresponding to the initial independent variable value as a standard consumption value;
analyzing the influence values of the various data by sequentially analyzing the sound anomaly value, the quality recording data and the life recording data to calculate the influence conversion factors corresponding to the sound anomaly value, the quality recording data and the life recording data, sequentially calibrating the influence conversion factors into a sound anomaly shadow conversion factor, an anomaly shadow conversion factor, a quality recording conversion factor and a life recording shadow conversion factor, and respectively calibrating the initial self-changing values of the sound anomaly value, the quality recording data and the life recording data into a sound anomaly initial changing value, an anomaly initial changing value, a quality recording initial changing value and a life recording initial changing value;
wherein, the initial self-changing value of the recording data is low tone quality, and the changing value of the recording data is 1 and 2, namely the corresponding low tone quality to standard tone quality, low tone quality to high tone quality, or reverse conversion;
transmitting the standard consumption value, the voice recording mean value, the distance difference mean value, the two preset values, the voice difference shadow conversion factor, the different distance shadow conversion factor, the quality shadow conversion factor, the life shadow conversion factor, the voice difference initial change value, the different distance initial change value, the quality initial change value and the life initial change value which correspond to the typing data and correspond to the field fixing data to a field fixing and judging unit;
the field determination unit is used for performing determination operation on a standard consumption value, a note mean value, a note pitch mean value, a pitch difference mean value, two pre-pitch values, two pre-values, a note special shadow conversion factor, a note quality shadow conversion factor, a note life shadow conversion factor, a note special initial change value, an different pitch initial change value, a note quality initial change value, a note life initial change value, blue type data, blue time data, blue sound data, blue life data, blue consumption data and blue pitch data corresponding to the note type data corresponding to the field determination data, and the specific operation process of the determination operation is as follows:
matching the blue data with the typing data to match out corresponding typing data, selecting out fixed field data according to the typing data, and selecting out corresponding sound and abnormal shadow conversion factors, standard consumption values, sound recording mean values, distance difference mean values, two pre-range values, sound difference mean values, two pre-range values, different shadow conversion factors, quality recording shadow conversion factors, life recording shadow conversion factors, sound and abnormal initial change values, different initial change values, quality recording initial change values, life recording initial change values, blue data, blue time data, blue sound data, blue quality data, blue life data, blue consumption data and blue distance data according to the fixed field data;
extracting a plurality of corresponding blue data in the blue time data, performing difference calculation on the blue data and the recorded sound mean value, calculating a blue sound difference value, performing difference calculation on the blue sound difference value and the recorded sound mean value, calculating a blue fixed value, comparing the blue fixed value with two preset values, generating a blue different signal when the blue fixed value is more than or equal to the two preset values, counting the occurrence frequency of the corresponding blue different signal in the blue time data, and calibrating the blue different signal into blue different-order data;
processing a plurality of corresponding blue distance data, a distance average value, a distance difference average value and two pre-distance values in the blue time data according to a processing method of the blue different time data to obtain blue distance time data;
and (3) substituting the sound difference shadow conversion factor, the different distance shadow conversion factor, the quality recording shadow conversion factor, the life recording shadow conversion factor, the sound difference initial change value, the different distance initial change value, the quality recording initial change value and the life recording initial change value into a calculation formula together with the blue difference data, the blue quality data, the blue life data and the blue distance data:
wherein,
expressed as a value of the consumption of the calculation,
expressed as a standard consumption value, LY as blue anomaly data, YC as a note-difference initialization value, u1 as a note-difference shadow conversion factor, LJ as blue-distance order data, JC as a difference initialization value, u2 as a difference shadow conversion factor, LZ as blue quality data, ZC as a note-quality initialization value, u3 as a note-quality shadow conversion factor, LS as blue life data, JS as a note-life initialization value, u4 as a note-life shadow conversion factor, r as a consumption total value conversion adjustment factor, and r as a preset value;
extracting a calculation consumption value, comparing the calculation consumption value with blue consumption data, judging that the consumption is excessive when the blue consumption data is more than or equal to the calculation consumption value, generating an adjusting signaling, judging that the consumption is normal when the blue consumption data is less than the calculation consumption value, not generating the signaling, and transmitting the adjusting signaling to a scene display unit;
the scene display unit is used for receiving and displaying the scene display unit and sending out a reminding signal, and the scene display unit is a tablet computer.
When the Bluetooth headset works, the Bluetooth headset and a corresponding application environment are subjected to data acquisition through the scene acquisition unit, information acquired aiming at the Bluetooth headset and the application scene is marked as scene acquisition information, the scene acquisition information comprises scene blue information and scene ring information, ring field data, ring response data, ring feeling data and ring touch data in the scene ring information are transmitted to the scene identification unit, and blue type data, blue time data, blue sound data, blue quality data, blue service life data, blue consumption data and blue distance data in the scene blue information are transmitted to the scene determination unit; the cloud scene unit stores scene recording information related to the Bluetooth headset in different scenes, the scene recording information comprises blue recording information and ring recording information, the blue recording information comprises model recording data, time recording data, voice recording data, quality recording data, life recording data, consumption recording data and distance recording data, and the ring recording information comprises playground scene data, voice channel scene data and audio frequency scene data; the scene identification unit acquires mark data, time data, voice data, quality data, life data, consumption data, distance data, tour scene data, voice channel scene data and audio scene data from the cloud scene unit, and performs scene identification operation on the mark data, the time data, the voice data, the quality data, the life data, the consumption data and the distance data together with the ring field data, the ring response data, the ring sensing data and the ring touch data to obtain field data, mark data, time data, voice data, quality data, duration data, life data, consumption data and distance data, and transmits the field data, the mark data, the time data, the life data, the consumption data and the distance data to the server; the server transmits the received field fixing data, the type recording data, the time recording data, the voice recording data, the quality recording data, the continuation data, the life recording data, the consumption recording data and the distance recording data to the field dividing and positioning unit; the field dividing unit carries out sub-operation on the type recording data, the time recording data, the voice recording data, the quality recording data, the continuous data, the life recording data, the consumption recording data and the distance recording data to obtain a standard consumption value, a voice recording mean value, a distance difference mean value, two pre-distance values, a voice difference mean value, two pre-values, a voice difference shadow conversion factor, an different distance shadow conversion factor, a quality recording shadow conversion factor, a life recording shadow conversion factor, a voice difference initial variable value, an different distance initial variable value, a quality recording initial variable value and a life recording initial variable value which correspond to the type recording data, and transmits the standard consumption value, the voice recording mean value, the distance recording mean value, the sound difference mean value, the two pre-distance values, the voice difference mean value, the two pre-distance conversion factor, the different distance shadow conversion factor, the different distance initial variable value, the quality initial variable value and the life recording initial variable value to the field dividing unit; the field determination unit performs determination operation according to the data obtained by the field dividing unit and the blue type data, the blue time data, the blue sound data, the blue quality data, the blue service life data, the blue consumption data and the blue distance data to obtain an adjusting signaling, and transmits the adjusting signaling to the scene display unit; the scene display unit receives and displays the scene display unit and sends out a reminding signal at the same time.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (9)
1. The scene analysis management and control system for the intelligent Bluetooth headset based on the Internet is characterized by comprising a scene acquisition unit, a cloud scene unit, a scene identification unit, a server, a field division unit, a field judgment unit and a scene display unit;
the scene acquisition unit is used for acquiring data of the Bluetooth headset and the corresponding application environment, marking information acquired aiming at the Bluetooth headset and the application scene as scene acquisition information, transmitting the scene acquisition information to the scene identification unit and transmitting the scene acquisition information to the scene determination unit, wherein the scene acquisition information comprises scene blue information and scene ring information;
the cloud scene unit stores scene recording information related to the Bluetooth headset in different scenes, wherein the scene recording information comprises the blue recording information and the ring recording information;
the scene identification unit is used for acquiring scene recording information from the cloud scene unit, carrying out scene identification operation on the scene recording information and the scene ring information together, processing to obtain field setting data, type recording data, time recording data, voice recording data, quality recording data, continuation data, life recording data, consumption recording data and distance recording data, and transmitting the field setting data, the type recording data, the time recording data, the voice recording data, the quality recording data, the continuation data, the life recording data, the consumption recording data and the distance recording data to the server;
the server is used for performing sub-operation on the shape recording data, the time recording data, the sound recording data, the quality recording data, the continuation data, the life recording data, the consumption recording data and the distance recording data to obtain a standard consumption value, a sound recording mean value, a distance difference mean value, two pre-range values, a sound difference shadow conversion factor, a different distance shadow conversion factor, a quality recording shadow conversion factor, a life recording shadow conversion factor, a sound difference initial change value, a different distance initial change value, a quality recording initial change value and a life recording initial change value, and transmitting the standard consumption value, the sound recording mean value, the distance difference mean value, the sound difference shadow conversion factor, the quality recording shadow conversion factor, the sound difference initial change value, the different distance initial change value, the quality recording initial change value and the life recording initial change value to the field decision unit;
the scene judging unit is used for judging the result obtained by the branch operation and the scene blue information to obtain an adjusting signaling and transmitting the adjusting signaling to the scene display unit;
the scene display unit is used for receiving and displaying the scene display unit and sending out a reminding signal at the same time.
2. The internet-based intelligent scene analysis and control system for bluetooth headsets as claimed in claim 1, wherein the scene blue information comprises blue type data, time data, blue sound data, blue quality data, blue longevity data, blue consumption data and blue distance data;
the scene ring information comprises ring field data, ring response data, ring feeling data and ring touch data;
the blue recording information comprises typing data, time recording data, voice recording data, quality recording data, life recording data, consumption recording data and distance recording data;
the loop information includes playground scene data, speech channel scene data, and audio scene data.
3. The internet-based intelligent Bluetooth headset scene analysis and control system according to claim 2, wherein the scene recognition operation is performed in the following specific operation process:
acquiring ring field data, ring response data, ring sensing data and ring touch data, and identifying and processing the ring field data, the ring response data, the ring sensing data and the ring touch data to obtain a low-speed signal, a high-speed signal, a less-sensitive signal, a more-sensitive signal, a constant-sensitive signal and a non-sensitive signal;
extracting a low-speed signal, a high-speed signal, a less-responsive signal, a more-responsive signal, a constant-sensitive signal and a non-sensitive signal, carrying out classification judgment on the data of the surrounding field according to the low-speed signal, the high-speed signal, the less-responsive signal, the more-responsive signal, the constant-sensitive signal and the non-sensitive signal, and judging to obtain a game signal, a voice signal and an audio signal;
extracting a game signal, a voice signal and an audio signal, and sequentially associating the game signal, the voice signal and the audio signal with playground scene data, voice channel scene data and audio scene data, namely judging that a corresponding scene is playground scene data when the game signal is identified, judging that the corresponding scene is voice channel scene data when the voice signal is identified, and judging that the corresponding scene is audio scene data when the audio signal is identified;
extracting game signals, voice signals and audio signals, identifying the game signals, the voice signals or the audio signals, extracting corresponding playground scene data or voice channel scene data or audio scene data when the game signals, the voice signals or the audio signals are identified, marking the playground scene data or the voice channel scene data or the audio scene data as fixed field data, and extracting corresponding mark data, time data, voice recording data, mark quality data, mark duration data, life data, mark consumption data and mark distance data according to the corresponding fixed field data.
4. The internet-based intelligent Bluetooth headset scene analysis and control system according to claim 3, wherein the specific process of performing recognition processing on the ring field data, the ring response data, the ring sense data and the ring touch data is as follows:
extracting circular touch data, calibrating the times of touching equipment in a period of time in the circular touch data as touch data, calibrating a period of time corresponding to the touch data as touch data, performing proportion calculation on the touch data and the touch data, and calculating touch rate data;
setting a preset value of contact, calibrating the preset value as a touch preset value, and comparing the touch preset value with touch rate data to obtain a low-speed signal and a high-speed signal;
extracting loop response data, setting a preset value for opening an application, calibrating the preset value as a pre-response value, and comparing the pre-response value with the loop response data to obtain a less response signal and a more response signal;
the method comprises the steps of extracting ring feeling data, identifying the ring feeling data, generating a signal, generating a constant feeling signal when the ring feeling data is identified, and generating a no feeling signal when the ring feeling data is not identified.
5. The internet-based intelligent Bluetooth headset scene analysis and control system according to claim 4, wherein the specific operation process of the branch operation is as follows:
selecting recording data according to the fixed-field data, selecting recording data and corresponding recording data according to the recording data, marking time points of a plurality of recording data to obtain a plurality of time points, extracting the recording data of the corresponding time points according to each time point, carrying out mean value calculation on a plurality of recording data, calculating a recording mean value, and carrying out secondary data processing on the recording mean value to obtain a heteronymy value and a positive value;
according to the processing method of the abnormal sound value and the positive sound value, distance data and corresponding time data are selected from the record data and are processed in the same method, and the abnormal distance value and the positive distance value are obtained;
selecting corresponding recording data according to the recording data, and identifying the recording data so as to obtain corresponding low tone quality, standard tone quality and high tone quality;
extracting tone difference value, difference distance value, low tone quality, standard tone quality and high tone quality, recording life data and recording consumption data, and comparing the data influence, specifically:
selecting consumption data, setting the consumption data as dependent variables of all reference data, keeping one of the sound abnormal value, the abnormal distance value, the quality recording data and the life recording data unchanged in sequence, analyzing the change condition of influencing the consumption recording data, analyzing the influence value of each item of data, and obtaining a sound abnormal shadow conversion factor, an abnormal distance shadow conversion factor, a quality recording shadow conversion factor, a life recording shadow conversion factor, a sound abnormal initial change value, an abnormal distance initial change value, a quality recording initial change value and a life recording initial change value.
6. The internet-based intelligent scene analysis and control system for Bluetooth headsets as claimed in claim 5, wherein the specific processing procedure of the secondary data processing of the recording mean value is as follows:
selecting a plurality of note data, performing difference calculation on the note data and the note mean value to calculate a plurality of sound difference values, performing mean calculation on the sound difference values according to the calculation mode of the note mean value to calculate the sound difference mean value, performing difference calculation on the sound difference mean value and the sound difference value to calculate two sound differences, setting a preset value corresponding to the two sound differences, marking the preset value corresponding to the two sound differences as two preset values, judging that the note data has abnormal fluctuation when the two sound differences are more than or equal to the two preset values to generate a sound difference signal, and judging that the note data has normal fluctuation when the two sound differences are less than the two preset values to generate a sound positive signal;
and extracting the abnormal sound signal and the harmonic positive signal, and identifying the abnormal sound signal and the harmonic positive signal so as to count the occurrence times of the abnormal sound signal and the harmonic positive signal and calibrate the abnormal sound signal and the harmonic positive signal into abnormal values and harmonic positive values.
7. The internet-based intelligent Bluetooth headset scene analysis and control system according to claim 6, wherein the specific process of analyzing the influence values of each item of data is as follows:
under the condition of keeping one item of data unchanged, selecting a plurality of different values of a changed value, calibrating the values into a 1-variable value and a 2-variable value, performing difference calculation on the 1-variable value and the 2-variable value to obtain a variable difference value, extracting consumption recording data corresponding to the 1-variable value and the 2-variable value, respectively calibrating the consumption recording data into a 1-consumption value and a 2-consumption value, calculating a difference value between the 1-consumption value and the 2-consumption value to obtain a consumption difference value, and substituting the consumption difference value and the variable difference value into an influence value calculation formula: dependent variable = independent variable u, wherein u is expressed as an influence conversion factor corresponding to the independent variable, so as to calculate a value of u, the dependent variable is substituted and introduced by a consumption difference value, the independent variable is substituted and introduced by a selected variation value, a plurality of different values of one item of value are subjected to the processing according to corresponding consumption data, a plurality of u are obtained, and the average value calculation is performed on the plurality of u, so as to calculate the influence conversion factor u on the strain difference value;
selecting a plurality of independent variable values with zero dependent variable in the process of analyzing the influence value of each item of data, marking one item of data corresponding to the independent variable value as an initial independent variable value, and marking consumption data corresponding to the initial independent variable value as a standard consumption value;
analyzing the influence values of the various data by sequentially analyzing the sound anomaly value, the quality recording data and the life recording data to calculate the influence conversion factors corresponding to the sound anomaly value, the quality recording data and the life recording data, sequentially calibrating the influence conversion factors into a sound anomaly shadow conversion factor, an anomaly shadow conversion factor, a quality recording conversion factor and a life recording shadow conversion factor, and respectively calibrating the initial self-variation values of the sound anomaly value, the quality recording data and the life recording data into a sound anomaly initial variation value, an anomaly initial variation value, a quality recording initial variation value and a life recording initial variation value.
8. The internet-based intelligent scene analysis and control system for bluetooth headsets as claimed in claim 7, wherein the specific operation process of the decision operation is:
matching the blue data with the typing data to match out corresponding typing data, selecting out fixed field data according to the typing data, and selecting out corresponding sound and abnormal shadow conversion factors, standard consumption values, sound recording mean values, distance difference mean values, two pre-range values, sound difference mean values, two pre-range values, different shadow conversion factors, quality recording shadow conversion factors, life recording shadow conversion factors, sound and abnormal initial change values, different initial change values, quality recording initial change values, life recording initial change values, blue data, blue time data, blue sound data, blue quality data, blue life data, blue consumption data and blue distance data according to the fixed field data;
processing the blue time data and the blue sound data by the same method according to the processing method of the different distance value to obtain blue different-order data;
processing a plurality of corresponding blue distance data, a distance average value, a distance difference average value and two pre-distance values in the blue time data according to a processing method of the blue different time data to obtain blue distance time data;
substituting the sound difference shadow conversion factor, the different distance shadow conversion factor, the quality recording shadow conversion factor, the life recording shadow conversion factor, the sound difference initial change value, the different distance initial change value, the quality recording initial change value and the life recording initial change value into a calculation consumption value calculation formula together with the blue difference data, the blue quality data, the blue life data and the blue distance time data, and calculating the calculation consumption value
；
And extracting a calculation consumption value, comparing the calculation consumption value with the blue consumption data, judging that the consumption is excessive when the blue consumption data is more than or equal to the calculation consumption value, generating an adjusting signaling, judging that the consumption is normal when the blue consumption data is less than the calculation consumption value, not generating the signaling, and transmitting the adjusting signaling to the scene display unit.
9. The internet-based intelligent scene analysis and control system for bluetooth headsets as claimed in claim 8, wherein the calculation formula of the calculation consumption value is specifically:
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