Ausonometer automatic calibration system and method

Abstract

The invention discloses an automatic calibration system and method for an audiometer, and particularly relates to the technical field of automatic calibration of audiometers. The system comprises a calibration preprocessing unit, a calibration processing unit and a database, and the calibration preprocessing unit comprises a calibration judgment module, a calibration environment evaluation module and a calibration starting module and is used for preparing before the self-service physical examination machine audiometer is calibrated. And the calibration processing unit comprises a calibration parameter selection module, a calibration parameter synchronization module, a verification error evaluation module and a verification error processing module, and is used for the calibration control platform to execute various operations in the calibration process of the target self-service physical examination machine audiometer. The parameters of the self-service physical examination machine audiometer are monitored, all the to-be-calibrated self-service physical examination machine audiometers are calibrated, a full-automatic calibration mode is adopted to replace traditional manual calibration, and the calibration efficiency of the self-service physical examination machine audiometers is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of automated calibration of audiometers, and in particular to an automated calibration system and method for audiometers. Background Art

[0002] With the rapid development of computer technology, the Internet and mobile communications, self-service medical examination machines have gradually realized informatization and intelligence. Traditional hearing tests usually require going to hospitals or specialized hearing clinics, which results in some people being unable to undergo timely examinations due to time, location and other reasons. Self-service medical examination machine audiometers are an emerging medical device designed to provide users with convenient and fast hearing testing services. However, over time, the components of the audiometer may age or wear out, resulting in changes in the output signal, and the resulting measurement results are not referenceable, so it is necessary to study the automated calibration of the audiometer.

[0003] The existing technology for audiometer calibration can meet the basic requirements, but there are also some potential problems, which are specifically reflected in the following aspects: On the one hand, the existing technology for audiometer calibration mainly relies on manual calibration, and manual calibration is a repetitive and mechanical process. It takes a long time to complete the whole calibration process. There is a process of repeatedly observing data changes, which increases the error rate in the manual calibration process, resulting in a decrease in the calibration efficiency of the self-service physical examination machine audiometer.

[0004] On the other hand, due to the widespread existence of self-service medical examination machine audiometers, the existing technology ignores the use of edge computing and environmental monitoring to determine which self-service medical examination machine audiometers need to be calibrated, resulting in unreliable performance accuracy of self-service medical examination machine audiometers during actual use by users, and the inability to obtain accurate test results, which reduces the accuracy of the use of self-service medical examination machine audiometers. Summary of the invention

[0005] The object of the present invention is to provide an audiometer automatic calibration system and method to solve the problems existing in the background technology.

[0006] The first aspect of the present invention provides an audiometer automatic calibration system, comprising: a calibration preprocessing unit, used for preparing the self-service physical examination machine audiometer before calibration, including a calibration judgment module, a calibration environment assessment module, and a calibration start module.

[0007] The calibration judgment module, the edge computing platform calculates the working accuracy coefficient of the audiometer of each self-service physical examination machine during the monitoring period based on the sound pressure level data of the audiometer of each self-service physical examination machine collected during the monitoring period, and determines the audiometer of each self-service physical examination machine that needs to be calibrated.

[0008] The calibration environment evaluation module is used to obtain the surrounding environment data of each self-service physical examination machine audiometer to be calibrated, evaluate and obtain the quality judgment value of each environmental parameter of each self-service physical examination machine audiometer to be calibrated, and judge and obtain each self-service physical examination machine audiometer to be calibrated.

[0009] The calibration starting module obtains the device code of each self-service physical examination machine audiometer to be calibrated based on the self-service physical examination machine audiometer to be calibrated, and sends it to the remote calibration control platform.

[0010] The calibration processing unit is used for the calibration control platform to perform various operations during the calibration process of the target self-service physical examination machine audiometer, including a calibration parameter selection module, a calibration parameter synchronization module, a verification error evaluation module, and a verification error processing module.

[0011] The calibration parameter selection module enters the calibration operation interface of the target self-service physical examination machine audiometer based on the device code of each self-service physical examination machine audiometer to be calibrated, and selects each set of characteristic parameters of the test sound of the target self-service physical examination machine audiometer.

[0012] The calibration parameter synchronization module is used for the edge computing platform of the target self-service physical examination machine audiometer to synchronously test each set of characteristic parameters of the sound.

[0013] The calibration error evaluation module calculates the calibration error between the observed value of the sound pressure level data of the target self-service physical examination machine audiometer and the standard value, and evaluates the error level of the target self-service physical examination machine audiometer.

[0014] The calibration error processing module implements a calibration method corresponding to the error level of the target self-service physical examination machine audiometer based on the error level of the target self-service physical examination machine audiometer, and completes the calibration operation of each self-service physical examination machine audiometer to be calibrated.

[0015] A second aspect of the present invention provides a method for executing an automated audiometer calibration system, comprising: S1. evaluating and obtaining audiometers of self-service physical examination machines that need to be calibrated based on sound pressure level data collected during a monitoring period.

[0016] S2. The edge computing platform evaluates the environmental parameters of the audiometers of each self-service physical examination machine that needs to be calibrated, and obtains the audiometers of each self-service physical examination machine that needs to be calibrated.

[0017] S3. The edge computing platform obtains the device code of each self-service physical examination machine audiometer to be calibrated and sends it to the remote calibration control platform.

[0018] S4. The calibration control platform sequentially enters the calibration operation page of the target self-service physical examination machine audiometer based on the device code of each self-service physical examination machine audiometer to be calibrated.

[0019] S5. The calibration control platform controls the calibration operation page of the target self-service audiometer to automatically set calibration parameters and perform testing.

[0020] S6. The edge computing platform returns the sound pressure level observation data of the target self-service physical examination machine audiometer, and the calibration control platform evaluates the level of calibration error.

[0021] S7. The calibration control platform automatically implements the corresponding calibration plan based on the level of verification error.

[0022] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: 1. The present invention adopts a combination of an edge computing platform and a remote calibration control platform, and uses the Internet of Things sensor control technology to realize remote calibration of the audiometer of the self-service physical examination machine, avoiding the need for on-site calibration by calibration personnel, and realizing remote calibration of multiple self-service physical examination machines, thereby increasing the efficiency of calibration of the audiometer of the self-service physical examination machine.

[0023] 2. The present invention uses an edge computing platform to obtain the sound pressure level data of the test sound of the self-service physical examination machine audiometer during the monitoring period, and compares it with the corresponding standard sound pressure level data. It can determine whether the self-service physical examination machine audiometer needs to be calibrated, avoiding reliance on manual experience for calibration, and improving the scientific nature of the calibration of the self-service physical examination machine audiometer.

[0024] 3. During the calibration process of the present invention, the observed values ​​and standard values ​​of the sound pressure level data of the self-service physical examination machine audiometer are automatically performed through image recognition technology, avoiding reliance on and manual comparison in the traditional manual calibration process, reducing the error rate of the self-service physical examination machine audiometer calibration, and improving the reliability of the self-service physical examination machine audiometer calibration. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0026] Figure 1 It is a system structure connection diagram of the present invention.

[0027] Figure 2 This is a network topology diagram of the present invention.

[0028] Figure 3 It is a schematic diagram of the method flow of the present invention. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] For ease of understanding, some terms of the present invention are explained below: the sound pressure level of the test sound refers to the logarithmic value of the sound pressure generated by the sound wave at a specific position relative to a reference sound pressure. In hearing tests, the sound pressure level is used to assess hearing loss and other hearing impairments.

[0031] The environmental noise of the self-service physical examination machine audiometer, the background noise in the environment may mask the sound being measured, resulting in inaccurate measured sound pressure level.

[0032] The ambient temperature and humidity of the self-service physical examination machine audiometer will affect the propagation of sound waves and the performance of the equipment, resulting in inaccurate measured sound pressure levels.

[0033] The device code refers to the unique identification code of the self-service physical examination machine audiometer. The calibration control platform can enter the calibration control interface of the self-service physical examination machine audiometer based on the device code of the self-service physical examination machine audiometer.

[0034] The sound direction refers to the direction in which the test sound of the self-service physical examination machine audiometer is emitted through the speaker, including the left ear speaker and the right ear speaker.

[0035] Pure tone or warbling tone, pure tone, refers to a sound with a fixed frequency, which is suitable for hearing tests and debugging of influencing equipment. Warbling tone refers to a sound composed of multiple frequency components.

[0036] Narrowband refers to a signal with a relatively narrow frequency bandwidth, and its frequency range is usually small.

[0037] L-weighting refers to weighting the sound pressure level according to different frequencies when measuring the sound pressure level. It is used to standardize sound measurements for comparison and analysis.

[0038] The adjustment scale refers to the sound pressure level data compensated once by pressing the adjustment button in the calibration window of the calibration operation interface of the self-service physical examination machine audiometer.

[0039] Embodiment 1

[0040] Reference Figure 1 As described above, the first aspect of the present invention provides an audiometer automatic calibration system, including a calibration preprocessing unit, which is used to prepare the self-service physical examination machine audiometer before calibration, including a calibration judgment module, a calibration environment assessment module, and a calibration start module.

[0041] The calibration judgment module, the edge computing platform calculates the working accuracy coefficient of the audiometer of each self-service physical examination machine during the monitoring period based on the sound pressure level data of the audiometer of each self-service physical examination machine collected during the monitoring period, and determines the audiometer of each self-service physical examination machine that needs to be calibrated.

[0042] The calibration environment evaluation module is used to obtain the surrounding environment data of each self-service physical examination machine audiometer to be calibrated, evaluate and obtain the quality judgment value of each environmental parameter of each self-service physical examination machine audiometer to be calibrated, and judge and obtain each self-service physical examination machine audiometer to be calibrated.

[0043] The calibration starting module obtains the device code of each self-service physical examination machine audiometer to be calibrated based on the self-service physical examination machine audiometer to be calibrated, and sends it to the remote calibration control platform.

[0044] The calibration processing unit is used for the calibration control platform to perform various operations during the calibration process of the target self-service physical examination machine audiometer, including a calibration parameter selection module, a calibration parameter synchronization module, a verification error evaluation module, and a verification error processing module.

[0045] The calibration parameter selection module enters the calibration operation interface of the target self-service physical examination machine audiometer based on the device code of each self-service physical examination machine audiometer to be calibrated, and selects each set of characteristic parameters of the test sound of the target self-service physical examination machine audiometer.

[0046] The calibration parameter synchronization module is used for the edge computing platform of the target self-service physical examination machine audiometer to synchronously test each set of characteristic parameters of the sound.

[0047] The calibration error evaluation module calculates the calibration error between the observed value of the sound pressure level data of the target self-service physical examination machine audiometer and the standard value, and evaluates the error level of the target self-service physical examination machine audiometer.

[0048] The calibration error processing module implements a calibration method corresponding to the error level of the target self-service physical examination machine audiometer based on the error level of the target self-service physical examination machine audiometer, and completes the calibration operation of each self-service physical examination machine audiometer to be calibrated.

[0049] The database is used to store the sound pressure level data of the audiometers of each self-service physical examination machine collected during the monitoring period, store the standard sound pressure level data of the audiometers of the self-service physical examination machine corresponding to the characteristic parameters of each test sound, store the standard environmental parameter range for which the audiometers of the self-service physical examination machine can be calibrated, and store the preset value of the working accuracy coefficient threshold of the audiometers of the self-service physical examination machine that needs to be calibrated.

[0050] It should be noted that, in a specific embodiment, the calibration preprocessing unit is connected to the calibration processing unit, in the calibration preprocessing unit, the calibration judgment module is connected to the calibration environment assessment module, the database is connected to the calibration judgment module and the calibration environment assessment module, the calibration environment assessment module is connected to the calibration start module, in the calibration processing unit, the calibration parameter selection module is connected to the calibration parameter synchronization module, the calibration parameter synchronization module is connected to the verification error assessment module, the database is connected to the verification error assessment module, and the verification error assessment module is connected to the verification error calibration module.

[0051] In a specific embodiment of the present invention, the judgment obtains the audiometers of each self-service physical examination machine that needs to be calibrated, and the specific method is: the edge computing platform obtains the sound pressure level data of each test sound of the audiometer of the self-service physical examination machine during the monitoring period through the sound collection device installed in the self-service physical examination machine And the corresponding characteristic parameters of each test sound ,in , Indicates the subscript of each test sound collected by the self-service physical examination machine audiometer during the monitoring period. Indicates the total number of test sounds during the monitoring period.

[0052] The test sound characteristic parameters include sound frequency, sound generation mode and sound generation direction.

[0053] Characteristic parameters of each test sound of the self-service medical examination machine audiometer within the monitoring period , match the standard sound pressure level data of the self-service physical examination machine audiometer corresponding to the characteristic parameters of each test sound from the database .

[0054] Sound pressure level data of each test sound of the self-service medical examination machine audiometer during the monitoring period , Standard sound pressure level data corresponding to each test sound , through the formula: , , calculate the working accuracy coefficient of the self-service physical examination machine audiometer ,in Allowable error for the working state of the audiometer in the self-service medical examination machine.

[0055] By the above method, the working accuracy coefficient of each self-service physical examination machine audiometer is obtained in the same way. ,in , Indicates the number of each self-service medical examination machine audiometer, Represents the total number of self-service medical examination machine audiometers.

[0056] like , then the The self-service medical examination machine audiometer is recorded as the self-service medical examination machine audiometer that needs to be calibrated, among which It means extracting the preset working accuracy coefficient threshold of the self-service physical examination machine audiometer that needs to be calibrated from the database to obtain the self-service physical examination machine audiometer that needs to be calibrated.

[0057] It should be noted that, in a specific embodiment, for example, the sound pressure level data of each test sound of the self-service physical examination machine audiometer during the monitoring period is 60db, 67db, 70db, 87db, 97db, the number of measurements is 5 times, and the corresponding characteristic parameters of each test sound corresponding to the standard sound pressure level data of the self-service physical examination machine audiometer are 61db, 67db, 69db, 84db, 96db, and the allowable error of the self-service physical examination machine audiometer is , calculated , through the formula: , calculate the working accuracy coefficient of the self-service physical examination machine audiometer , extract the preset working accuracy coefficient threshold of the self-service medical examination machine audiometer that needs to be calibrated from the database Recorded as the self-service medical examination machine audiometer that needs to be calibrated.

[0058] It should be noted that, in a specific embodiment, the calibration judgment module is mainly used to determine whether the audiometer of the self-service physical examination machine needs to be calibrated. For each self-service physical examination machine audiometer during the monitoring period, the sound pressure level data of the test sound is obtained, and strict requirements are not made on the environmental parameters under the calibration operation.

[0059] The present invention uses an edge computing platform to obtain the sound pressure level data of the test sound of the self-service physical examination machine audiometer within the monitoring period, and compares it with the corresponding standard sound pressure level data. It can determine whether the self-service physical examination machine audiometer needs to be calibrated, avoids relying on manual experience for calibration, and improves the scientific nature of the self-service physical examination machine audiometer calibration.

[0060] In a specific embodiment of the present invention, the evaluation obtains the quality judgment value of each environmental parameter of each self-service physical examination machine audiometer to be calibrated, and the specific method is: the edge computing platform collects the environmental data of each self-service physical examination machine audiometer to be calibrated, including the environmental temperature, through the environmental sensors integrated around the self-service physical examination machine audiometer. , Ambient humidity , Environmental noise ,in , Indicates the number of each self-service medical examination machine audiometer that needs to be calibrated. Indicates the total number of self-service medical examination machine audiometers that need to be calibrated.

[0061] By formula: , calculate the first Environmental noise quality judgment value of the self-service medical examination machine audiometer that needs to be calibrated , It represents the standard environmental noise range for calibrating the self-service medical examination machine audiometer extracted from the database.

[0062] Through the above method, the environmental noise quality judgment value of each self-service physical examination machine audiometer that needs to be calibrated is obtained.

[0063] Similarly, the environmental temperature quality judgment value and the environmental humidity quality judgment value of the audiometer of each self-service physical examination machine that needs to be calibrated are obtained.

[0064] In summary, the quality judgment values ​​of the environmental parameters of the audiometers of the self-service physical examination machines to be calibrated are obtained.

[0065] In a specific embodiment of the present invention, the judgment obtains each self-service physical examination machine audiometer to be calibrated, and the specific method is: based on the environmental noise quality judgment value of each self-service physical examination machine audiometer to be calibrated, if , then the The self-service medical examination machine audiometers that need to be calibrated are recorded as calibrable self-service medical examination machine audiometers.

[0066] like , then the The self-service medical examination machine audiometers that need to be calibrated are recorded as pending self-service medical examination machine audiometers.

[0067] Similarly, the ambient temperature quality judgment value and the ambient humidity quality judgment value of each self-service physical examination machine audiometer to be calibrated are analyzed to obtain each self-service physical examination machine audiometer to be calibrated and each pending self-service physical examination machine audiometer.

[0068] After taking responsive measures based on each pending self-service medical examination machine audiometer, the calibration environment assessment will be conducted again.

[0069] In summary, the self-service physical examination machine audiometers to be calibrated are obtained through analysis.

[0070] It should be noted that, in a specific embodiment of the present invention, the response measures taken are that the edge computing platform controls the auxiliary system, first turns on the temperature and humidity control equipment, and adjusts the ambient temperature and humidity of the audiometers of each pending self-service physical examination machine to within the standard range.

[0071] Then turn off the temperature and humidity control device, and the edge computing platform sends a command to drive the motor to control the height of the noise reduction curtains, increase the area covered by the noise reduction curtains, and reduce environmental noise.

[0072] The calibration environment parameter quality judgment values ​​of the audiometers of each self-service physical examination machine to be calibrated are evaluated after the response measures are taken, and the audiometers of each self-service physical examination machine to be calibrated are obtained.

[0073] It should be noted that, in a specific embodiment, if the environmental parameter requirements of the calibrable self-service medical examination machine audiometer are still not met after the response measures are implemented, it will be marked as a risky self-service medical examination machine audiometer, and relevant technical personnel will perform on-site operations to remove the risky self-service medical examination machine audiometer and place it in a suitable environment for calibration.

[0074] In a specific embodiment of the present invention, the device code of each self-service physical examination machine audiometer to be calibrated is obtained and sent to a remote calibration control platform. The specific method is: through the edge computing platform of each self-service physical examination machine audiometer to be calibrated, the device code of the corresponding self-service physical examination machine audiometer is extracted and sent to the remote calibration control platform.

[0075] In a specific embodiment of the present invention, the specific method for selecting each group of characteristic parameters of the test sound of the target self-service physical examination machine audiometer is as follows: based on image recognition technology, the calibration control platform extracts the device code of each self-service physical examination machine audiometer to be calibrated in sequence from the interface for receiving the device code of each self-service physical examination machine audiometer to be calibrated.

[0076] It should be noted that, in a specific embodiment, when the audiometers of each self-service physical examination machine to be calibrated send the device code to the calibration control platform, the gateway module in the network structure is responsible for sorting and arranging the device codes of the audiometers of each self-service physical examination machine to be calibrated in sequence to facilitate identification by the calibration control platform.

[0077] For example, the device numbers obtained are 002, 003, 080, 018, 001. The gateway module in the network structure organizes the device number data in ascending order to obtain: 001, 002, 003, 018, 080.

[0078] According to the extracted device code of the calibrable self-service physical examination machine audiometer, the target self-service physical examination machine audiometer is obtained, and the calibration operation interface of the target self-service physical examination machine audiometer is jumped to.

[0079] The various groups of characteristic parameters of the test sound of the target self-service physical examination machine audiometer include sound frequency, sound emission mode and sound emission direction.

[0080] A test method of controlling variables is adopted to ensure that the direction and mode of utterance remain unchanged, and the sound frequency is changed to obtain each group of sound frequency characteristic parameters of the test sound of the target self-service physical examination machine audiometer. The control variables are repeated to complete the selection of each group of characteristic parameters of the test sound of the target self-service physical examination machine audiometer.

[0081] During the calibration process of the present invention, the observed values ​​and standard values ​​of the sound pressure level data of the self-service physical examination machine audiometer are automatically performed through image recognition technology, avoiding reliance on and manual comparison in the traditional manual calibration process, reducing the error rate of the self-service physical examination machine audiometer calibration, and improving the reliability of the self-service physical examination machine audiometer calibration.

[0082] In a specific embodiment of the present invention, the sound collection device of the target self-service physical examination machine audiometer synchronously tests each group of characteristic parameters of the sound, and the specific method is: based on each group of characteristic parameters of the test sound of the target self-service physical examination machine audiometer, the group of characteristic parameters of the test sound of the currently operated target self-service physical examination machine audiometer is recorded as the target characteristic parameters of the test sound of the target self-service physical examination machine audiometer.

[0083] First, the sound direction attribute of the target characteristic parameter of the test sound of the target self-service physical examination machine audiometer is extracted. If it is the left ear, the sound receiving channel of the calibration window of the calibration operation interface of the target self-service physical examination machine audiometer is set to the left ear, otherwise it is set to the right ear.

[0084] Then extract the utterance attribute of the target characteristic parameter of the test sound of the target self-service physical examination machine audiometer. If it is a pure tone or warbling tone, change the observation index of the calibration window of the calibration operation interface of the target self-service physical examination machine audiometer to the actual measured value.

[0085] If it is a narrow band, the observation index in the calibration window of the calibration operation interface of the target self-service physical examination machine audiometer is changed to the observation L weighting.

[0086] Through the above analysis, the edge computing platform of the target self-service physical examination machine audiometer synchronously tests the target characteristic parameters of the sound.

[0087] Similarly, the edge computing platform of the target self-service physical examination machine audiometer synchronously tests each set of characteristic parameters of the sound.

[0088] In a specific embodiment of the present invention, the specific method for evaluating the error level of the target self-service physical examination machine audiometer is as follows: the calibration control platform controls the target self-service physical examination machine audiometer to emit a test sound of the target characteristic parameter.

[0089] The edge computing platform obtains the sound pressure level observation value of the test sound of the target self-service medical examination machine audiometer under the target characteristic parameters through the sound collection device , sent to the verification window of the calibration operation interface of the calibration control platform.

[0090] The calibration control platform matches the standard value of the sound pressure level of the test sound of the self-service medical examination machine audiometer under the corresponding target characteristic parameters from the database according to the target characteristic parameters of the test sound of the self-service medical examination machine audiometer .

[0091] Observed values ​​of the sound pressure level of the test sound of the target self-service medical examination machine audiometer based on the target characteristic parameters , standard value of sound pressure level under target characteristic parameters , through the formula: , calculate the calibration error of the target self-service medical examination machine audiometer .

[0092] By formula: Evaluate the error level of the target self-service medical examination machine audiometer.

[0093] It should be noted that, in a specific embodiment, for example, the calibration error of the target self-service physical examination machine audiometer is obtained. , the error level of the target self-service physical examination machine audiometer is evaluated as a second-level error.

[0094] In a specific embodiment of the present invention, the calibration method corresponding to the error level of the target self-service physical examination machine audiometer is implemented based on the error level of the target self-service physical examination machine audiometer. The specific method is: based on the calibration error level of the target self-service physical examination machine audiometer ,Will Recorded as the calibration compensation value of the target self-service physical examination machine audiometer.

[0095] When the calibration error level of the target self-service physical examination machine audiometer is determined to be a first-level error, the calibration control platform uses the formula: , calculate the number of automatic adjustments of the fine-tuning button in the calibration window of the calibration operation interface of the target self-service medical examination machine audiometer ,in Indicates the adjustment scale of the fine-tuning button in the calibration window of the calibration operation interface of the target self-service medical examination machine audiometer.

[0096] like , the calibration control platform automatically adjusts the calibration window of the calibration operation interface of the target self-service medical examination machine audiometer in a positive direction through the fine-tuning button Second-rate.

[0097] like , the calibration control platform automatically adjusts the target self-service medical examination machine audiometer in the reverse direction through the fine-tuning button of the calibration window of the calibration operation interface Second-rate.

[0098] When the calibration error level of the target self-service physical examination machine audiometer is determined to be a secondary error, the calibration control platform uses the formula: , calculate the number of automatic adjustments of the fine-tuning button in the calibration window of the calibration operation interface of the target self-service medical examination machine audiometer ,in Indicates the adjustment scale of the quick adjustment button in the calibration window of the calibration operation interface of the target self-service physical examination machine audiometer.

[0099] like , the calibration control platform automatically adjusts the calibration window of the calibration operation interface of the target self-service medical examination machine audiometer in the positive direction once, and then controls the fine adjustment button to automatically adjust the calibration window in the positive direction. Second-rate.

[0100] like , the calibration control platform automatically reverses the calibration window of the calibration operation interface of the target self-service medical examination machine audiometer by using the quick adjustment button once, and then automatically reverses the calibration window by using the fine adjustment button. Second-rate.

[0101] Similarly, when the calibration error level of the target self-service physical examination machine audiometer is judged to be a third-level error, the calibration control platform uses the formula: , calculate the number of automatic adjustments of the quick adjustment button in the calibration window of the calibration operation interface of the target self-service physical examination machine audiometer .

[0102] like , the calibration control platform automatically adjusts the calibration window of the calibration operation interface of the target self-service medical examination machine audiometer in the positive direction through the quick adjustment button Second-rate.

[0103] like , the calibration control platform automatically adjusts the target self-service medical examination machine audiometer in the reverse direction through the quick adjustment button of the calibration window of the calibration operation interface Second-rate.

[0104] Based on the above method, the calibration of each set of characteristic parameters of the test sound of the target self-service physical examination machine audiometer is completed.

[0105] Repeat the above method to complete the calibration of the audiometers of each self-service physical examination machine to be calibrated.

[0106] It should be noted that, in a specific embodiment, for example, the error level of the target self-service medical examination machine audiometer is a second-level error. , the adjustment scale of the fine-tuning button in the calibration window of the calibration operation interface of the target self-service physical examination machine audiometer , the adjustment scale of the quick adjustment button in the calibration window of the calibration operation interface of the target self-service physical examination machine audiometer , through the formula , calculate the automatic adjustment times of the fine-tuning button in the calibration window of the calibration operation interface of the target self-service physical examination machine audiometer ,and , it means that the calibration control platform automatically adjusts the calibration window of the calibration operation interface of the target self-service medical examination machine audiometer in the reverse direction once through the quick adjustment button, and then controls the fine adjustment button to automatically adjust the calibration window in the reverse direction. Second-rate.

[0107] Embodiment 2

[0108] Reference Figure 2 As shown, it is a network topology diagram of an automatic calibration system of an audiometer of the present invention, including a perception layer, a network layer and an application layer. Specifically, the perception layer is an edge computing platform of the audiometer of the self-service physical examination machine, which obtains the data required for the preprocessing stage of the calibration of the audiometer of the self-service physical examination machine through sound collection sensors and environment collection sensors.

[0109] The network layer is used to transmit the device number of each self-service physical examination machine audiometer to be calibrated. The calibrated self-service physical examination machine audiometer first obtains the corresponding device number through the edge computing platform, and uses the device number of the calibrated self-service physical examination machine audiometer on the communication module to send it to the gateway module. The gateway module summarizes the device numbers of the self-service physical examination machine audiometers to be calibrated and sends them to the calibration control platform.

[0110] It should be noted that, in a specific embodiment, the role of connecting the gateway module to the calibration control platform is to reduce the workload of the calibration control platform and improve the calibration rate of the calibration control platform.

[0111] The application layer is a calibration control platform for the self-service medical examination machine audiometer, which is used to process the calibration control operations of each self-service medical examination machine audiometer to be calibrated.

[0112] Integrate the network topology structure in the Internet of Things technology to realize the remote monitoring and calibration of the audiometer of the self-service physical examination machine, and improve the calibration efficiency of the audiometer of the self-service physical examination machine.

[0113] Embodiment 3

[0114] Reference Figure 3 As shown, the second aspect of the present invention provides a method for executing an automated audiometer calibration system, comprising: S1. evaluating and obtaining audiometers of each self-service physical examination machine that need to be calibrated based on sound pressure level data collected during a monitoring period.

[0115] S2. The edge computing platform evaluates the environmental parameters of the audiometers of each self-service physical examination machine that needs to be calibrated, and obtains the audiometers of each self-service physical examination machine that needs to be calibrated.

[0116] S3. The edge computing platform obtains the device code of each self-service physical examination machine audiometer to be calibrated and sends it to the remote calibration control platform.

[0117] S4. The calibration control platform sequentially enters the calibration operation page of the target self-service physical examination machine audiometer based on the device code of each self-service physical examination machine audiometer to be calibrated.

[0118] S5. The calibration control platform controls the calibration operation page of the target self-service audiometer to automatically set calibration parameters and perform testing.

[0119] S6. The edge computing platform returns the sound pressure level observation data of the target self-service physical examination machine audiometer, and the calibration control platform evaluates the level of calibration error.

[0120] S7. The calibration control platform automatically implements the corresponding calibration plan based on the level of verification error.

[0121] The present invention adopts a combination of an edge computing platform and a remote calibration control platform, and uses the Internet of Things sensor control technology to realize the remote calibration of the audiometer of the self-service physical examination machine, avoiding the need for on-site calibration by calibrators, and realizing remote calibration of multiple self-service physical examination machines, thereby increasing the efficiency of the calibration of the audiometer of the self-service physical examination machine.

[0122] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. An audiometer automated calibration system, characterized in that: include: The calibration preprocessing unit is used for the preparation of the self-service physical examination machine audiometer before calibration, including a calibration judgment module, a calibration environment assessment module, and a calibration startup module; The calibration judgment module, the edge computing platform calculates the working accuracy coefficient of each self-service physical examination machine audiometer during the monitoring period based on the sound pressure level data of each self-service physical examination machine audiometer collected during the monitoring period, and determines each self-service physical examination machine audiometer that needs to be calibrated; The calibration environment evaluation module is used to obtain the surrounding environment data of each self-service physical examination machine audiometer to be calibrated, evaluate and obtain the quality judgment value of each environmental parameter of each self-service physical examination machine audiometer to be calibrated, and judge and obtain each self-service physical examination machine audiometer to be calibrated; The calibration start module obtains the device code of each self-service physical examination machine audiometer to be calibrated based on the self-service physical examination machine audiometer to be calibrated, and sends it to the remote calibration control platform; The calibration processing unit is used for the calibration control platform to perform various operations during the calibration process of the target self-service physical examination machine audiometer, including a calibration parameter selection module, a calibration parameter synchronization module, a verification error evaluation module, and a verification error processing module; The calibration parameter selection module enters the calibration operation interface of the target self-service physical examination machine audiometer based on the device code of each self-service physical examination machine audiometer to be calibrated, and selects each set of characteristic parameters of the test sound of the target self-service physical examination machine audiometer; The calibration parameter synchronization module is used for synchronizing each set of characteristic parameters of the sound of the edge computing platform of the target self-service physical examination machine audiometer; The verification error evaluation module calculates the verification error between the observed value of the sound pressure level data of the target self-service physical examination machine audiometer and the standard value, and evaluates the error level of the target self-service physical examination machine audiometer; The calibration error processing module implements a calibration method corresponding to the error level of the target self-service physical examination machine audiometer based on the error level of the target self-service physical examination machine audiometer, and completes the calibration operation of each self-service physical examination machine audiometer to be calibrated.

2. The audiometer automatic calibration system according to claim 1, characterized in that: The specific method of determining and obtaining the audiometers of the self-service physical examination machines that need to be calibrated is as follows: The edge computing platform obtains the sound pressure level data of each test sound of the self-service physical examination machine audiometer during the monitoring period through the sound collection device installed in the self-service physical examination machine. And the corresponding characteristic parameters of each test sound ,in , Indicates the subscript of each test sound collected by the self-service physical examination machine audiometer during the monitoring period. Indicates the total number of test sounds during the monitoring period; The test sound characteristic parameters include sound frequency, sound generation mode and sound generation direction; Characteristic parameters of each test sound of the self-service medical examination machine audiometer within the monitoring period , match the standard sound pressure level data of the self-service physical examination machine audiometer corresponding to the characteristic parameters of each test sound from the database ; Sound pressure level data of each test sound of the self-service medical examination machine audiometer during the monitoring period , Standard sound pressure level data corresponding to each test sound , through the formula: , , calculate the working accuracy coefficient of the self-service physical examination machine audiometer ,in Allowable error for the self-service medical examination machine audiometer; By the above method, the working accuracy coefficient of each self-service physical examination machine audiometer is obtained in the same way. ,in , Indicates the number of each self-service medical examination machine audiometer, It indicates the total number of self-service medical examination machine audiometers; like , then the The self-service medical examination machine audiometer is recorded as the self-service medical examination machine audiometer that needs to be calibrated, among which It means extracting the preset working accuracy coefficient threshold of the self-service physical examination machine audiometer that needs to be calibrated from the database to obtain the self-service physical examination machine audiometer that needs to be calibrated.

3. The audiometer automatic calibration system according to claim 2, characterized in that: The evaluation obtains the quality judgment values ​​of the environmental parameters of the audiometers of the self-service physical examination machines to be calibrated, and the specific method is as follows: The edge computing platform collects environmental data of each self-service medical examination machine audiometer that needs to be calibrated, including the ambient temperature, by integrating various environmental sensors around the self-service medical examination machine audiometer. , Ambient humidity , Environmental noise ,in , Indicates the number of each self-service medical examination machine audiometer that needs to be calibrated. Indicates the total number of self-service medical examination machine audiometers that need to be calibrated; By formula: , calculate the first Environmental noise quality judgment value of the self-service medical examination machine audiometer that needs to be calibrated , It represents the standard environmental noise range for calibrating the self-service medical examination machine audiometer extracted from the database; By using the above method, the environmental noise quality judgment value of each self-service physical examination machine audiometer to be calibrated is obtained; Similarly, the environmental temperature quality judgment value and the environmental humidity quality judgment value of the audiometer of each self-service physical examination machine to be calibrated are obtained; In summary, the quality judgment values ​​of the environmental parameters of the audiometers of the self-service physical examination machines to be calibrated are obtained.

4. The audiometer automatic calibration system according to claim 3, characterized in that: The specific method of determining and obtaining the audiometers of each self-service physical examination machine to be calibrated is as follows: Based on the environmental noise quality judgment value of each self-service medical examination machine audiometer that needs to be calibrated, if , then the The self-service medical examination machine audiometers that need to be calibrated are recorded as calibrable self-service medical examination machine audiometers; like , then the The self-service medical examination machine audiometers that need to be calibrated are recorded as pending self-service medical examination machine audiometers; Similarly, the ambient temperature quality judgment value and the ambient humidity quality judgment value of each self-service physical examination machine audiometer to be calibrated are analyzed to obtain each self-service physical examination machine audiometer to be calibrated and each pending self-service physical examination machine audiometer; Based on the audiometers of each pending self-service medical examination machine, after taking responsive measures, the calibration environment assessment is conducted again; In summary, the self-service physical examination machine audiometers to be calibrated are obtained through analysis.

5. The audiometer automatic calibration system according to claim 4, characterized in that: The specific method of obtaining the device code of each self-service physical examination machine audiometer to be calibrated and sending it to the remote calibration control platform is as follows: Through the edge computing platform of each self-service physical examination machine audiometer to be calibrated, the device code of the corresponding self-service physical examination machine audiometer is extracted and sent to the remote calibration control platform.

6. The audiometer automatic calibration system according to claim 5, characterized in that: The specific method of selecting each group of characteristic parameters of the test sound of the target self-service physical examination machine audiometer is as follows: Based on the image recognition technology, the calibration control platform sequentially extracts the device codes of the self-service physical examination machine audiometers to be calibrated from the interface for receiving the device codes of the self-service physical examination machine audiometers to be calibrated; According to the extracted device code of the calibrable self-service physical examination machine audiometer, the target self-service physical examination machine audiometer is obtained, and the calibration operation interface of the target self-service physical examination machine audiometer is jumped to; Each set of characteristic parameters of the test sound of the target self-service physical examination machine audiometer, including sound frequency, sound generation mode and sound generation direction; A test method of controlling variables is adopted to ensure that the direction and mode of utterance remain unchanged, and the sound frequency is changed to obtain each group of sound frequency characteristic parameters of the test sound of the target self-service physical examination machine audiometer. The control variables are repeated to complete the selection of each group of characteristic parameters of the test sound of the target self-service physical examination machine audiometer.

7. The audiometer automatic calibration system according to claim 6, characterized in that: The edge computing platform of the target self-service physical examination machine audiometer synchronously tests each group of characteristic parameters of the sound, and the specific method is: Based on each set of characteristic parameters of the test sound of the target self-service medical examination machine audiometer, the set of characteristic parameters of the test sound of the target self-service medical examination machine audiometer currently operated is recorded as the target characteristic parameters of the test sound of the target self-service medical examination machine audiometer; First, the sound direction attribute of the target characteristic parameter of the test sound of the target self-service physical examination machine audiometer is extracted. If it is the left ear, the sound receiving channel of the calibration window of the calibration operation interface of the target self-service physical examination machine audiometer is set to the left ear, otherwise it is set to the right ear; Then, the utterance mode attribute of the target characteristic parameter of the test sound of the target self-service physical examination machine audiometer is extracted. If it is a pure tone or a warbling tone, the observation index of the calibration window of the calibration operation interface of the target self-service physical examination machine audiometer is changed to a measured value; If it is narrow band, the observation index in the calibration window of the calibration operation interface of the target self-service physical examination machine audiometer is changed to observation L weighting; Through the above analysis, the edge computing platform of the target self-service physical examination machine audiometer synchronously tests the target characteristic parameters of the sound; Similarly, the edge computing platform of the target self-service physical examination machine audiometer synchronously tests each set of characteristic parameters of the sound.

8. The audiometer automatic calibration system according to claim 7, characterized in that: The specific method of evaluating the error level of the target self-service physical examination machine audiometer is as follows: The calibration control platform controls the target self-service physical examination machine audiometer to emit a test sound of the target characteristic parameters; The edge computing platform obtains the sound pressure level observation value of the test sound of the target self-service medical examination machine audiometer under the target characteristic parameters through the sound collection device , sent to the verification window of the calibration operation interface of the calibration control platform; The calibration control platform matches the standard value of the sound pressure level of the test sound of the self-service medical examination machine audiometer under the corresponding target characteristic parameters from the database according to the target characteristic parameters of the test sound of the self-service medical examination machine audiometer ; Observed values ​​of the sound pressure level of the test sound of the target self-service medical examination machine audiometer based on the target characteristic parameters , standard value of sound pressure level under target characteristic parameters , through the formula: , calculate the calibration error of the target self-service medical examination machine audiometer ; By formula: Evaluate the error level of the target self-service medical examination machine audiometer.

9. The audiometer automatic calibration system according to claim 8, characterized in that: The calibration method corresponding to the error level of the target self-service physical examination machine audiometer is implemented based on the error level of the target self-service physical examination machine audiometer, and the specific method is: Calibration error of audiometer based on target self-service medical examination machine ,Will Recorded as the calibration compensation value of the target self-service medical examination machine audiometer; When the calibration error level of the target self-service physical examination machine audiometer is determined to be a first-level error, the calibration control platform uses the formula: , calculate the number of automatic adjustments of the fine-tuning button in the calibration window of the calibration operation interface of the target self-service medical examination machine audiometer ,in Indicates the adjustment scale of the fine-tuning button of the calibration window of the calibration operation interface of the target self-service physical examination machine audiometer; like , the calibration control platform automatically adjusts the calibration window of the calibration operation interface of the target self-service medical examination machine audiometer in a positive direction through the fine-tuning button Second-rate; like , the calibration control platform automatically adjusts the target self-service medical examination machine audiometer in the reverse direction through the fine-tuning button of the calibration window of the calibration operation interface Second-rate; When the calibration error level of the target self-service physical examination machine audiometer is determined to be a secondary error, the calibration control platform uses the formula: , calculate the number of automatic adjustments of the fine-tuning button in the calibration window of the calibration operation interface of the target self-service medical examination machine audiometer ,in Indicates the adjustment scale of the quick adjustment button in the calibration window of the calibration operation interface of the target self-service physical examination machine audiometer; like , the calibration control platform automatically adjusts the calibration window of the calibration operation interface of the target self-service medical examination machine audiometer in the positive direction once, and then controls the fine adjustment button to automatically adjust the calibration window in the positive direction. Second-rate; like , the calibration control platform automatically reverses the calibration window of the calibration operation interface of the target self-service medical examination machine audiometer by using the quick adjustment button once, and then automatically reverses the calibration window by using the fine adjustment button. Second-rate; Similarly, when the calibration error level of the target self-service physical examination machine audiometer is judged to be a third-level error, the calibration control platform uses the formula: , calculate the number of automatic adjustments of the quick adjustment button in the calibration window of the calibration operation interface of the target self-service physical examination machine audiometer ; like , the calibration control platform automatically adjusts the calibration window of the calibration operation interface of the target self-service medical examination machine audiometer in the positive direction through the quick adjustment button Second-rate; like , the calibration control platform automatically adjusts the target self-service medical examination machine audiometer in the reverse direction through the quick adjustment button of the calibration window of the calibration operation interface Second-rate; Based on the above method, the calibration of each set of characteristic parameters of the test sound of the target self-service physical examination machine audiometer is completed; Repeat the above method to complete the calibration of the audiometers of each self-service physical examination machine to be calibrated.

10. A method for executing the audiometer automated calibration system according to claims 1-9, characterized in that: Specifically: S1. Based on the sound pressure level data collected during the monitoring period, evaluate and obtain the audiometers of each self-service physical examination machine that need to be calibrated; S2. The edge computing platform evaluates the environmental parameters of the audiometers of each self-service physical examination machine to be calibrated, and obtains the audiometers of each self-service physical examination machine to be calibrated; S3. The edge computing platform obtains the device code of each self-service physical examination machine audiometer to be calibrated and sends it to the remote calibration control platform; S4. The calibration control platform enters the calibration operation page of the target self-service physical examination machine audiometer in sequence based on the device code of each self-service physical examination machine audiometer to be calibrated; S5. The calibration control platform controls the calibration operation page of the target self-service audiometer to automatically set calibration parameters and perform testing; S6. The edge computing platform returns the sound pressure level observation data of the target self-service physical examination machine audiometer, and the calibration control platform evaluates the level of the verification error; S7. The calibration control platform automatically implements the corresponding calibration plan based on the level of verification error.

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