CN118075674A - Hearing aid earphone intelligent operation and maintenance system - Google Patents
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- 238000012423 maintenance Methods 0.000 title claims abstract description 32
- 230000003321 amplification Effects 0.000 claims abstract description 95
- 238000003199 nucleic acid amplification method Methods 0.000 claims abstract description 95
- 238000004140 cleaning Methods 0.000 claims abstract description 81
- 238000012360 testing method Methods 0.000 claims abstract description 72
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Abstract
The invention belongs to the technical field of hearing-aid earphones, and discloses an intelligent operation and maintenance system of a hearing-aid earphone, which comprises the following components: the data preparation module is used for acquiring an initial amplification curve of the hearing aid earphone and battery performance data, and acquiring a test audio set according to the initial amplification curve and the battery performance data; the battery maintenance module records and updates the battery health grade and reminds a user when the performance is reduced; the scheduling module decides whether to execute sounding test or remind a user according to the battery state; the sounding test module executes the test and acquires data, and the sounding analysis module analyzes the data and obtains a gain data set; the judging module judges whether the amplification is abnormal or not by utilizing the gain data set and the initial amplification curve data; the cleaning recording module records the cleaning habit of the user and reminds the user to clean the hearing aid earphone. The system can analyze the amplification normality and timely inform the user, so that the user is not required to actively perceive the decline of the hearing assistance effect, and the response timeliness of the user when the hearing aid performance is problematic is improved.
Description
Technical Field
The invention relates to the technical field of hearing-aid headphones, in particular to an intelligent operation and maintenance system of a hearing-aid headphone.
Background
The hearing aid earphone is an electronic device for helping hearing impaired people to improve hearing functions, the hearing aid earphone is used as an important auxiliary tool for hearing impaired people, in order to ensure the effectiveness of the hearing aid earphone function and the comfort of hearing of users, the hearing aid earphone is usually required to be finely adjusted according to the specific hearing loss condition of individuals, a specific amplification curve is formed, namely, the hearing aid earphone amplifies sound signals with different frequencies, so that personalized amplification effects are achieved, and in the practical use process, the maintenance problem of the hearing aid earphone gradually becomes a focus of attention of users.
In the prior art, the maintenance mode of the hearing aid earphone mainly comprises the steps of periodically replacing a battery and cleaning the surface of the earphone, however, the maintenance measures can only solve some surface problems, and the core performance of the hearing aid earphone such as the accuracy of a sound amplification curve can change due to the aging of equipment, improper use or the influence of external environmental factors in actual use, which can lead to the poor hearing experience of a user.
At present, the user lacks an effective method for checking the accuracy of the amplification curve, and usually goes to a special maintenance point to check and maintain when the hearing assistance effect is obviously reduced, so that the method has obvious inconvenience, and the user can continue to use when the performance of the hearing aid earphone is not in an optimal state due to lag in response, and can spend extra time and energy due to the fact that the user needs to go to a professional maintenance point and the like.
Disclosure of Invention
In order to solve the problem that the prior art can cause users to spend extra time and energy, the invention provides an intelligent operation and maintenance system of a hearing aid earphone, which is used for solving the problem.
The invention provides the following technical scheme:
an intelligent operation and maintenance system of a hearing aid earphone, comprising:
the data preparation module is used for acquiring initial amplification curve and initial battery performance data of the hearing-aid earphone and acquiring a test audio set according to the initial amplification curve data;
the battery maintenance module is used for recording the battery health degree grade, updating the battery health degree grade according to the initial battery performance data in a preset period, classifying the battery health degree grade into excellent, good and medium and poor, and sending a reminding notice to a user when the battery health degree grade is medium or poor;
the scheduling module is used for receiving the sounding test instruction, acquiring the current battery health degree grade after receiving the sounding test instruction, executing the sounding test if the battery health degree grade is excellent or good, and otherwise, sending a corresponding prompt to a user;
the sounding test module is used for executing sounding test to obtain an analysis data set and sending the analysis data set to the sounding analysis module;
The sounding analysis module is used for receiving the analysis data set and analyzing the received analysis data set to obtain a gain data set;
the judging module is used for judging whether gain abnormality exists according to the gain data set and the initial amplification curve data, and sending a judging result to a user;
the cleaning recording module is used for recording the habit cleaning frequency of the user to the hearing aid earphone and reminding the user to clean the hearing aid earphone.
Preferably, the initial amplification curve is obtained through debugging data of the hearing-aid earphone, the horizontal axis of the initial amplification curve represents the frequency of the sound signal, and the vertical axis of the initial amplification curve represents the amplification rate of the amplifier to the sound signal with the frequency; the acquisition mode of the test audio set comprises the following steps:
obtaining the minimum value of the frequency on the transverse axis of the initial amplification curve Sum maximum/>；
Recording frequencies range fromTo/>Uniformly distributed/>Audio data of different frequencies are assembled into a test audio set.
Preferably, the initial battery performance data includes an initial battery capacity, an initial battery internal resistance, an initial charge rate, and an initial discharge rate; the updating of the battery health level includes:
Acquiring the current battery capacity, the current battery internal resistance, the current charging rate and the current discharging rate;
Obtaining a capacity change rate by dividing the current battery capacity by the initial battery capacity, obtaining an internal resistance change rate by dividing the current battery internal resistance by the initial battery internal resistance, obtaining a charge rate change rate by dividing the current charge rate by the initial charge rate, and obtaining a discharge rate change rate by dividing the current discharge rate by the initial discharge rate;
the total change rate is obtained by calculating the sum of the capacity change rate, the internal resistance change rate, the charge rate change rate and the discharge rate change rate;
presetting a first change threshold, a second change threshold and a third change threshold, wherein the first change threshold is smaller than the second change threshold, and the second change threshold is smaller than the third change threshold;
judging the total change rate:
If the total change rate is not greater than the first change threshold, updating the battery health level to be excellent;
If the total change rate exceeds the first change threshold value but is not greater than the second change threshold value, updating the battery health level to be good;
if the total change rate exceeds the second change threshold value but is not greater than the third change threshold value, updating the battery health level to be medium;
if the total rate of change exceeds the third change threshold, the battery health level is updated to poor.
Preferably, the method for acquiring the analysis data set includes: acquiring corresponding first audio data according to the test audio data in the test audio set through a microphone, a receiver and an amplifier of the hearing aid earphone;
acquiring corresponding second audio data according to the first audio data;
The test audio data, the first audio data and the second audio data form an analysis data set, one test audio data in the test audio set corresponds to one analysis data set, and all analysis data form the analysis data set.
Preferably, the first audio data and the second audio data are obtained in the following manner:
Playing the test audio data through a receiver of the hearing aid earphone;
the audio data received by the microphone of the hearing aid earphone is first audio data;
Processing the first audio data through an amplifier of the hearing aid earphone, and playing through a receiver of the hearing aid earphone;
The first audio data which are received by the microphone of the hearing aid earphone and are played by the receiver and processed by the amplifier are the second audio data.
Preferably, the analyzing the received analysis data set to obtain a gain data set includes:
Extracting any piece of analysis data in the analysis data set, and obtaining the frequency of the test audio data in the piece of analysis data Amplitude/>, of test audio dataAmplitude/>, of the first audio dataAmplitude/>, of the second audio data；
Calculating the actual amplification rateThe actual amplification rate/>The calculation formula of (2) is as follows:
；
Frequency is set to And the actual amplification rate/>Obtaining gain data after corresponding;
And obtaining a corresponding piece of gain data according to each piece of analysis data in the analysis data set, wherein all gain data form a gain data set.
Preferably, the determining whether the gain abnormality exists according to the gain data set and the initial amplification curve data includes:
Gain data set is obtained, and the gain data set is expanded to obtain a comparison data set ；
Using contrast data setsThe initial data set/>, and the amplification rate of the sound signal corresponding to the frequency in the initial amplification curve；
The following formula is used to calculate the linear index：
；
In the method, in the process of the invention,Representing data set/>Data quantity of/>Representing data set/>Middle/>Actual amplification of individual data,/>Representing data set/>Average value of all actual amplification rates in (a)/>Representing data set/>Middle/>Amplification of individual data,/>Representing data set/>Average value of all the amplification rates in (a);
the difference index is calculated using the following formula ：
；
The anomaly index is calculated using the following formula：
；
In the method, in the process of the invention,Preset weight coefficient for linear index,/>For a preset weight coefficient of the difference index,And/>，/>Is the maximum value of a preset difference index;
Judging If yes, judging that no gain abnormality exists, otherwise, judging that the gain abnormality exists, whereinAn abnormality threshold is preset.
Preferably, the gain data set is expanded to obtain a comparison data setThe process of (1) comprises:
Acquiring two gain data adjacent to any frequency value in the gain data set and respectively marking the two gain data as AndWherein/>，/>Representing the frequency in the gain data,/>，/>Representing the actual amplification in the gain data;
subtracting the actual amplification rate of the previous piece of gain data from the actual amplification rate of the next piece of gain data, and dividing by the difference of their corresponding frequencies to obtain a first rate of change ；
Obtaining a preset expansion quantityThe expansion step/>, is calculated using the following formula：
；
GeneratingThe calculation formula of the extended frequency is as follows:
；
In the method, in the process of the invention, In the/>Frequency of expansion,/>；
A corresponding value is calculated for each extended frequency as follows:
；
In the method, in the process of the invention, Represents the/>Corresponding value of each extended frequency,/>Representing the initial amplification curve at frequency/>Slope at;
using the corresponding And/>The value is filled between two pieces of gain data corresponding to adjacent frequency values, and interpolation processing of the two pieces of gain data is completed;
Repeating the above process until all gain data among adjacent frequency values in the gain data set are interpolated to obtain a comparison data set 。
Preferably, the recording the cleaning frequency of the hearing aid earphone by the user includes: recording cleaning behavior through interaction between a user and an application program, adding a cleaning record into the application program and updating the latest cleaning day after the user executes cleaning operation to acquire the latest cleaning daySub-clean record, calculate/>Average number of days interval of the secondary cleaning record as frequency of habitual cleaning, wherein/>; The reminding of the user to clean the hearing aid earphone is specifically to send a cleaning reminder to the user on a recommended cleaning date.
Preferably, the acquiring method of the suggested cleaning date includes:
Obtaining a suggested cleaning date by using the latest cleaning date plus the habit cleaning frequency;
If the user actively cleans before suggesting the cleaning date, the module will update the latest cleaning date and the custom cleaning frequency;
And updating the suggested cleaning date using the updated latest cleaning date plus the updated custom cleaning frequency.
The invention provides an intelligent operation and maintenance system of a hearing aid earphone, which has the following beneficial effects:
1. Through the data preparation module, the sounding test module and the judging module, the system can automatically acquire a test audio set and execute sounding test, and automatically analyze whether the amplification curve is abnormal or not, so that a user does not need to actively perceive the decline of hearing assistance effect or visit a professional maintenance point. This greatly improves the user's response timeliness when the hearing aid performance is problematic, enhances the user's hearing experience, and avoids the risk of further hearing impairment that may result from delayed maintenance.
2. Through the prompt notification function, the abnormal performance can be effectively predicted and diagnosed, including the situation that the amplification deviates from the normal range. This means that the user can get real-time feedback and advice without waiting for judgment by human sense. In addition, the system can remind the user to perform necessary cleaning work, and reduce the risk of performance degradation caused by earphone pollution. The intelligent operation and maintenance service greatly improves the timeliness and the effectiveness of maintenance, and is helpful for ensuring that the hearing aid always operates in an optimal state.
Drawings
Fig. 1 is a schematic block diagram of an intelligent operation and maintenance system of a hearing aid earphone according to the present invention;
Fig. 2 is a schematic diagram of an acquisition mode of the first audio data and the second audio data according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but 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.
Example 1
Referring to fig. 1, in this embodiment, an intelligent operation and maintenance system for a hearing aid earphone includes:
the data preparation module is used for acquiring initial amplification curve and initial battery performance data of the hearing-aid earphone and acquiring a test audio set according to the initial amplification curve data;
the initial amplification curve is obtained through debugging data of the hearing-aid earphone, the horizontal axis of the initial amplification curve represents the frequency of the sound signal, and the vertical axis of the initial amplification curve represents the amplification rate of the amplifier to the sound signal with the frequency; the acquisition mode of the test audio set comprises the following steps:
obtaining the minimum value of the frequency on the transverse axis of the initial amplification curve Sum maximum/>；
Recording frequencies range fromTo/>Uniformly distributed/>Audio data of different frequencies are assembled into a test audio set.
In this embodiment, first, the data preparation module acquires an initial amplification curve of the hearing aid earphone, which is obtained by debugging data of the hearing aid earphone, and initial battery performance data, wherein the horizontal axis represents the frequency of the sound signal and the vertical axis represents the amplification rate of the sound signal at the frequency by the amplifier. It should be noted that, in view of the difference in hearing loss status of each user, the sensitivity of each user to sounds with different frequencies is different. Therefore, before the hearing aid earphone is used, a professional usually carries out fine adjustment on the hearing aid earphone according to the actual hearing loss condition of a user so as to realize accurate amplification of sounds with different frequencies and ensure the best adaptation effect, so that each user has a unique initial amplification curve. Maintaining the accuracy of the amplification curve is critical, which is a key factor in guaranteeing the user experience.
In this embodiment, the data preparation module obtains the test audio set by initially amplifying the curve data. Specifically, the minimum and maximum values of the frequency on the horizontal axis of the initial amplification curve are calculated. For example, if the frequency range of the initial amplification curve is from 20Hz to 20kHz, 10 different frequency points are taken, the 10 frequency points being evenly distributed between 20Hz and 20 kHz; corresponding to the 10 frequency points, 10 audio data are recorded, and the 10 audio data are assembled into a test audio set.
The battery maintenance module is used for recording the battery health degree grade, updating the battery health degree grade according to the initial battery performance data in a preset period, classifying the battery health degree grade into excellent, good and medium and poor, and sending a reminding notice to a user when the battery health degree grade is medium or poor;
The initial battery performance data includes an initial battery capacity, an initial battery internal resistance, an initial charge rate, and an initial discharge rate; updating the battery health level includes:
Acquiring the current battery capacity, the current battery internal resistance, the current charging rate and the current discharging rate;
Obtaining a capacity change rate by dividing the current battery capacity by the initial battery capacity, obtaining an internal resistance change rate by dividing the current battery internal resistance by the initial battery internal resistance, obtaining a charge rate change rate by dividing the current charge rate by the initial charge rate, and obtaining a discharge rate change rate by dividing the current discharge rate by the initial discharge rate;
the total change rate is obtained by calculating the sum of the capacity change rate, the internal resistance change rate, the charge rate change rate and the discharge rate change rate;
presetting a first change threshold, a second change threshold and a third change threshold, wherein the first change threshold is smaller than the second change threshold, and the second change threshold is smaller than the third change threshold;
judging the total change rate:
If the total change rate is not greater than the first change threshold, updating the battery health level to be excellent;
If the total change rate exceeds the first change threshold value but is not greater than the second change threshold value, updating the battery health level to be good;
if the total change rate exceeds the second change threshold value but is not greater than the third change threshold value, updating the battery health level to be medium;
if the total rate of change exceeds the third change threshold, the battery health level is updated to poor.
In this embodiment, the current battery capacity, the current battery internal resistance, the current charge rate and the current discharge rate are obtained by means of sensors or software, and are compared with the initial battery performance data, that is, the corresponding items of the performance data when leaving the factory, the more the battery performance attenuation is usually indicated, the battery performance can be effectively quantified by combining with the threshold value set through experiments or experience, and when the battery performance is reduced more, that is, the state of health is medium or poor, a battery replacement prompt is sent to the user, so that the hearing aid earphone can work normally.
The scheduling module is used for receiving the sounding test instruction, acquiring the current battery health degree grade after receiving the sounding test instruction, executing the sounding test if the battery health degree grade is excellent or good, and otherwise, sending a corresponding prompt to a user;
In this embodiment, the sounding test instruction may be actively sent by the user through the mobile phone application, or may be sent by the system at regular time, after receiving the sounding test instruction, the battery health level is first determined, if the battery health level is lower, a reminder that the battery health is low and is not suitable for testing is sent to the user, because the lower battery health level may have negative influence on testing, so that the obtained data is not accurate enough.
The sounding test module is used for executing sounding test to obtain an analysis data set and sending the analysis data set to the sounding analysis module;
The acquisition mode of the analysis data set comprises the following steps: acquiring corresponding first audio data according to the test audio data in the test audio set through a microphone, a receiver and an amplifier of the hearing aid earphone;
acquiring corresponding second audio data according to the first audio data;
The test audio data, the first audio data and the second audio data form an analysis data set, one test audio data in the test audio set corresponds to one analysis data, and all analysis data form the analysis data set.
Referring to fig. 2, the first audio data and the second audio data are obtained by:
S11, playing test audio data through a receiver of a hearing aid earphone;
s12, the audio data received by the microphone of the hearing aid earphone is first audio data;
s13, processing the first audio data through an amplifier of the hearing aid earphone, and playing through a receiver of the hearing aid earphone;
s14, the first audio data which is received by the microphone of the hearing aid earphone and is played by the receiver and processed by the amplifier is the second audio data.
In this embodiment, the preset test audio is played using the receiver of the hearing aid headset itself, and these sounds, so-called first audio data, are received and recorded with the microphone, which can help us to understand the changes brought by the external environment when the sounds are transferred from the receiver to the microphone.
The enhancement effect of the amplifier can be evaluated by enhancing the first audio data with the amplifier of the hearing aid earpiece and then receiving and recording the enhanced sound, i.e. the second audio data, again with the microphone. The hearing aid earphone comprises a receiver, an amplifier and a microphone, wherein the receiver is used for converting an amplified sound signal into audible sound, so that a user can clearly hear the sound; the amplifier is used for enhancing the intensity of the sound signal and improving the definition of the sound; the microphone is responsible for receiving external sound signals and converting the external sound signals into electric signals for the amplifier to amplify, and the test audio data, the first audio data and the second audio data are all electric signals.
The sounding analysis module is used for receiving the analysis data set and analyzing the received analysis data set to obtain a gain data set;
analyzing the received analysis data set to obtain a gain data set includes:
Extracting any piece of analysis data in the analysis data set, and obtaining the frequency of the test audio data in the piece of analysis data Amplitude/>, of test audio dataAmplitude/>, of the first audio dataAmplitude/>, of the second audio data；
Calculating the actual amplification rateActual amplification/>The calculation formula of (2) is as follows:
；
Frequency is set to And the actual amplification rate/>Obtaining gain data after corresponding;
And obtaining a corresponding piece of gain data according to each piece of analysis data in the analysis data set, wherein all gain data form a gain data set.
In this embodiment, the gain data reflects the current degree of amplification of the specific frequency sound by the hearing aid earphone. In the audio data of the electrical signal, this degree of amplification is usually manifested by a change in amplitude at that frequency. Thus to analyze the effect of a hearing aid earpiece on the amplification of sound signals of different frequencies, we first extract a single item of analysis data from the analysis data set. Each item of analysis data comprises the frequency of the test audio data, the amplitude of the test audio data, namely the original amplitude which is not processed by the hearing aid earphone, and the amplitudes of the first audio data and the second audio data are respectively the amplitude which is not amplified and amplified by the hearing aid earphone. From these data we can calculate the actual amplification at the test frequency for the hearing aid earpiece.
The formula for calculating the actual amplification rate is to compare the amplitude of the second audio data with the amplitude of the first audio data, obtain the actual amplification effect of the amplifier after the environmental interference is eliminated by comparing the test audio data with the first audio data, and then, correspond the frequency of each test audio with the actual amplification rate to form a single item of gain data.
By repeating the above procedure and performing the same operation on each piece of analysis data in the analysis data set, we can obtain a complete gain data set.
In this process, each piece of gain data is generated in order to carefully evaluate the degree of sound amplification of the hearing aid earpiece at a particular frequency. This is critical for understanding the frequency response characteristics of a hearing aid earpiece and for adapting the hearing experience for the user.
The judging module is used for judging whether gain abnormality exists according to the gain data set and the initial amplification curve data, and sending a judging result to a user;
judging whether the gain abnormality exists according to the gain data set and the initial amplification curve data comprises the following steps:
Gain data set is obtained, and the gain data set is expanded to obtain a comparison data set ；
Using contrast data setsThe initial data set/>, and the amplification rate of the sound signal corresponding to the frequency in the initial amplification curve；
The following formula is used to calculate the linear index：
；
In the method, in the process of the invention,Representing data set/>Data quantity of/>Representing data set/>Middle/>Actual amplification of individual data,/>Representing data set/>Average value of all actual amplification rates in (a)/>Representing data set/>Middle/>Amplification of individual data,/>Representing data set/>Average value of all the amplification rates in (a);
the difference index is calculated using the following formula ：
；
The anomaly index is calculated using the following formula：
；
In the method, in the process of the invention,Preset weight coefficient for linear index,/>For a preset weight coefficient of the difference index,And/>，/>Is the difference index maximum of the difference;
Judging If yes, judging that no gain abnormality exists, otherwise, judging that gain abnormality exists, whereinAn abnormality threshold is preset.
In this embodiment, the gain data set represents the amplifying effect of the current amplifier on each frequency audio, and the initial amplification curve frequency is the amplifying effect of the amplifier required by the user on each frequency audio.
Therefore, the linear similarity of the two is calculated by using the pearson correlation coefficient formula, the larger the value is, the higher the similarity is, the difference between the two is calculated by using the Euclidean distance formula, the higher the value is, the lower the similarity is, finally, the normalized linear index and 1 are subtracted by the normalized difference index, the abnormal index can be obtained after weighted summation, and the larger the value of the abnormal index is, the higher the similarity is. In the present embodiment, the weight coefficientAnd/>Both can be set to 0.5, and both the differential index maximum and the anomaly threshold can be set based on experimental data or experience of a professional.
Expanding the gain data set to obtain a contrast data setThe process of (1) comprises:
Acquiring two gain data adjacent to any frequency value in the gain data set and respectively marking the two gain data as AndWherein/>，/>Representing the frequency in the gain data,/>，/>Representing the actual amplification in the gain data;
subtracting the actual amplification rate of the previous piece of gain data from the actual amplification rate of the next piece of gain data, and dividing by the difference of their corresponding frequencies to obtain a first rate of change ；
Obtaining a preset expansion quantityThe expansion step/>, is calculated using the following formula：
；
GeneratingThe calculation formula of the extended frequency is as follows:
；
In the method, in the process of the invention, Represents the/>Frequency of expansion,/>；
A corresponding value is calculated for each extended frequency as follows:
；
In the method, in the process of the invention, Represents the/>Corresponding value of each extended frequency,/>Representing the initial amplification curve at frequency/>Slope at;
using the corresponding And/>The value is filled between two pieces of gain data corresponding to adjacent frequency values, and interpolation processing of the two pieces of gain data is completed;
Repeating the above process until all gain data among adjacent frequency values in the gain data set are interpolated to obtain a comparison data set 。
In order to reduce the time of sounding test and improve the test efficiency, the number of test audio sets in the preset test audio set is usually not large, for example, only 10 pieces of audio data uniformly between 20Hz and 20kHz are preset in the embodiment, so that only 10 pieces of gain data can be obtained finally, however, the accuracy of final judgment may be limited due to the small number of gain data.
Therefore, in order to better evaluate the performance of the hearing aid earpiece, it is necessary to expand the acquired gain data set in order to be able to more carefully understand the performance of the hearing aid earpiece over the entire frequency range. The purpose of extending the gain data set is to insert new frequency points between the original frequency points, thereby generating a denser data set, which will help us to fully understand and evaluate the performance of the hearing aid earphone.
First, we extract gain data for two adjacent frequency values from the gain data set. The two pieces of data record the rates of amplification of adjacent frequency points, respectively, so that a first rate of change between them, i.e., the rate of change of the amplification value between the two points, can be calculated.
By setting how many new data points we wish to insert between these two points, i.e. expanding the numberIt is generally set to 9, and we can determine the specific frequency of each new insertion point according to the calculation formula in combination with the frequency difference between the two points, and the specific frequencies are uniformly distributed between the two points. Each time an extended frequency point is calculated, a corresponding increment value is calculated for it.
And combining the estimated new increment value with the corresponding expansion frequency, and filling the new increment value between two adjacent data points in the original data set. Therefore, the original accurate measurement points are reserved, and information between the accurate measurement points is supplemented, so that the data is more complete.
After these treatments we get a finer contrast data set. Such a data set can more accurately reflect the actual performance of the hearing aid earpiece at each frequency, thereby providing a richer and more detailed data reference for the final gain anomaly determination.
The cleaning recording module is used for recording the habit cleaning frequency of the user to the hearing aid earphone and reminding the user to clean the hearing aid earphone. The device is used for reminding a user to clean the hearing aid earphone in time.
Example 2
Referring to fig. 1, on the basis of embodiment 1, recording the cleaning frequency of the hearing aid earphone by the user includes: recording cleaning behavior through interaction between a user and an application program, adding a cleaning record into the application program and updating the latest cleaning day after the user executes cleaning operation to acquire the latest cleaning daySub-clean record, calculate/>Average number of days interval of the secondary cleaning record as frequency of habitual cleaning, wherein/>; Reminding the user to clean the hearing aid headphones is specifically to send a cleaning reminder to the user on a proposed cleaning date.
The acquisition mode of the suggested cleaning date comprises the following steps:
Obtaining a suggested cleaning date by using the latest cleaning date plus the habit cleaning frequency;
If the user actively cleans before suggesting the cleaning date, the module will update the latest cleaning date and the custom cleaning frequency;
And updating the suggested cleaning date using the updated latest cleaning date plus the updated custom cleaning frequency.
In this embodiment, the system can record the cleaning action and update the cleaning date through the user's interaction with the application. The system also calculates the frequency of custom cleaning for the user and based on this frequency, automatically sets suggested cleaning dates, sending cleaning reminders to the user. If the user actively cleans before suggesting the cleaning date, the system updates the relevant date and frequency to better adapt to the actual cleaning habit of the user, and the cleaning prompt is customized according to the actual cleaning behavior and habit of the user, so that the overall fixed prompt period is avoided, the cleaning execution rate of the user is improved, the cleaning quality is ensured, and the service life of the hearing aid earphone is prolonged.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely one, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other forms.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (10)
1. An intelligent operation and maintenance system for a hearing aid earphone, comprising:
the data preparation module is used for acquiring initial amplification curve and initial battery performance data of the hearing-aid earphone and acquiring a test audio set according to the initial amplification curve data;
the battery maintenance module is used for recording the battery health degree grade, updating the battery health degree grade according to the initial battery performance data in a preset period, classifying the battery health degree grade into excellent, good and medium and poor, and sending a reminding notice to a user when the battery health degree grade is medium or poor;
the scheduling module is used for receiving the sounding test instruction, acquiring the current battery health degree grade after receiving the sounding test instruction, executing the sounding test if the battery health degree grade is excellent or good, and otherwise, sending a corresponding prompt to a user;
the sounding test module is used for executing sounding test to obtain an analysis data set and sending the analysis data set to the sounding analysis module;
The sounding analysis module is used for receiving the analysis data set and analyzing the received analysis data set to obtain a gain data set;
the judging module is used for judging whether gain abnormality exists according to the gain data set and the initial amplification curve data, and sending a judging result to a user;
the cleaning recording module is used for recording the habit cleaning frequency of the user to the hearing aid earphone and reminding the user to clean the hearing aid earphone.
2. The intelligent operation and maintenance system of a hearing aid earphone according to claim 1, wherein the initial amplification curve is obtained through debugging data of the hearing aid earphone, a horizontal axis of the initial amplification curve represents a frequency of a sound signal, and a vertical axis of the initial amplification curve represents an amplification rate of an amplifier to the sound signal with the frequency; the acquisition mode of the test audio set comprises the following steps:
obtaining the minimum value of the frequency on the transverse axis of the initial amplification curve Sum maximum/>；
Recording frequencies range fromTo/>Uniformly distributed/>Audio data of different frequencies are assembled into a test audio set.
3. The hearing aid earpiece intelligent operation and maintenance system of claim 2, wherein the initial battery performance data includes an initial battery capacity, an initial battery internal resistance, an initial charge rate, and an initial discharge rate; the updating of the battery health level includes:
Acquiring the current battery capacity, the current battery internal resistance, the current charging rate and the current discharging rate;
Obtaining a capacity change rate by dividing the current battery capacity by the initial battery capacity, obtaining an internal resistance change rate by dividing the current battery internal resistance by the initial battery internal resistance, obtaining a charge rate change rate by dividing the current charge rate by the initial charge rate, and obtaining a discharge rate change rate by dividing the current discharge rate by the initial discharge rate;
the total change rate is obtained by calculating the sum of the capacity change rate, the internal resistance change rate, the charge rate change rate and the discharge rate change rate;
presetting a first change threshold, a second change threshold and a third change threshold, wherein the first change threshold is smaller than the second change threshold, and the second change threshold is smaller than the third change threshold;
judging the total change rate:
If the total change rate is not greater than the first change threshold, updating the battery health level to be excellent;
If the total change rate exceeds the first change threshold value but is not greater than the second change threshold value, updating the battery health level to be good;
if the total change rate exceeds the second change threshold value but is not greater than the third change threshold value, updating the battery health level to be medium;
if the total rate of change exceeds the third change threshold, the battery health level is updated to poor.
4. The intelligent operation and maintenance system of a hearing aid headset according to claim 3, wherein the means for obtaining the analysis data set comprises: acquiring corresponding first audio data according to the test audio data in the test audio set through a microphone, a receiver and an amplifier of the hearing aid earphone;
acquiring corresponding second audio data according to the first audio data;
The test audio data, the first audio data and the second audio data form an analysis data set, one test audio data in the test audio set corresponds to one analysis data set, and all analysis data form the analysis data set.
5. The intelligent operation and maintenance system of a hearing aid earphone according to claim 4, wherein the first audio data and the second audio data are obtained by:
Playing the test audio data through a receiver of the hearing aid earphone;
the audio data received by the microphone of the hearing aid earphone is first audio data;
Processing the first audio data through an amplifier of the hearing aid earphone, and playing through a receiver of the hearing aid earphone;
The first audio data which are received by the microphone of the hearing aid earphone and are played by the receiver and processed by the amplifier are the second audio data.
6. The intelligent operation and maintenance system of a hearing aid headset of claim 5, wherein the analyzing the received analysis data set to obtain a gain data set comprises:
Extracting any piece of analysis data in the analysis data set, and obtaining the frequency of the test audio data in the piece of analysis data Amplitude/>, of test audio dataAmplitude/>, of the first audio dataAmplitude/>, of the second audio data；
Calculating the actual amplification rateThe actual amplification rate/>The calculation formula of (2) is as follows:
；
Frequency is set to And the actual amplification rate/>Obtaining gain data after corresponding;
And obtaining a corresponding piece of gain data according to each piece of analysis data in the analysis data set, wherein all gain data form a gain data set.
7. The intelligent operation and maintenance system of a hearing aid earphone according to claim 6, wherein the determining whether there is a gain anomaly based on the gain data set and the initial amplification curve data comprises:
Gain data set is obtained, and the gain data set is expanded to obtain a comparison data set ；
Using contrast data setsThe initial data set/>, and the amplification rate of the sound signal corresponding to the frequency in the initial amplification curve；
The following formula is used to calculate the linear index：
；
In the method, in the process of the invention,Representing data set/>Data quantity of/>Representing data set/>Middle/>The actual rate of amplification of the individual data,Representing data set/>Average value of all actual amplification rates in (a)/>Representing data set/>Middle/>Amplification of individual data,/>Representing data set/>Average value of all the amplification rates in (a);
the difference index is calculated using the following formula ：
；
The anomaly index is calculated using the following formula：
；
In the method, in the process of the invention,Preset weight coefficient for linear index,/>For a preset weight coefficient of the difference index,And/>，/>Is the maximum value of a preset difference index;
Judging If yes, judging that no gain abnormality exists, otherwise, judging that gain abnormality exists, wherein/>An abnormality threshold is preset.
8. The intelligent operation and maintenance system of hearing aid earphone according to claim 7, wherein the gain data set is expanded to obtain a contrast data setThe process of (1) comprises:
Acquiring two gain data adjacent to any frequency value in the gain data set and respectively marking the two gain data as And/>Wherein/>，/>Representing the frequency in the gain data,/>，/>Representing the actual amplification in the gain data;
subtracting the actual amplification rate of the previous piece of gain data from the actual amplification rate of the next piece of gain data, and dividing by the difference of their corresponding frequencies to obtain a first rate of change ；
Obtaining a preset expansion quantityThe expansion step/>, is calculated using the following formula：
；
GeneratingThe calculation formula of the extended frequency is as follows:
；
In the method, in the process of the invention, Represents the/>Frequency of expansion,/>；
A corresponding value is calculated for each extended frequency as follows:
；
In the method, in the process of the invention, Represents the/>Corresponding value of each extended frequency,/>Representing the initial amplification curve at frequencySlope at;
using the corresponding And/>The value is filled between two pieces of gain data corresponding to adjacent frequency values, and interpolation processing of the two pieces of gain data is completed;
Repeating the above process until all gain data among adjacent frequency values in the gain data set are interpolated to obtain a comparison data set 。
9. The intelligent operation and maintenance system of a hearing aid headset of claim 8, wherein the recording of the user's cleaning frequency of the hearing aid headset comprises: recording cleaning behavior through interaction between a user and an application program, adding a cleaning record into the application program and updating the latest cleaning day after the user executes cleaning operation to acquire the latest cleaning daySub-clean record, calculate/>Average number of days interval of the secondary cleaning record as frequency of habitual cleaning, wherein/>; The reminding of the user to clean the hearing aid earphone is specifically to send a cleaning reminder to the user on a recommended cleaning date.
10. The intelligent operation and maintenance system of a hearing aid earphone according to claim 9, wherein the means for acquiring the recommended cleaning date comprises:
Obtaining a suggested cleaning date by using the latest cleaning date plus the habit cleaning frequency;
If the user actively cleans before suggesting the cleaning date, the module will update the latest cleaning date and the custom cleaning frequency;
And updating the suggested cleaning date using the updated latest cleaning date plus the updated custom cleaning frequency.
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