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Early warning method, device and storage medium based on ear audiometry data

An audiometric and data technology, applied in earmuffs, audiometers, etc., can solve problems such as lack of a better solution

Active Publication Date: 2022-07-29
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are only statistics on the hearing impairment of the employee group, but there is no good solution for how to recommend the use of suitable earmuffs for the hearing impairment of the employee group

Method used

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  • Early warning method, device and storage medium based on ear audiometry data
  • Early warning method, device and storage medium based on ear audiometry data
  • Early warning method, device and storage medium based on ear audiometry data

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Embodiment Construction

[0020] Embodiments of the early warning method, device and storage medium based on ear audiometry data according to the present invention will be described below with reference to the accompanying drawings. As those of ordinary skill in the art would realize, the described embodiments may be modified in various different ways or combinations thereof, all without departing from the spirit and scope of the present invention. Accordingly, the drawings and description are illustrative in nature and are not intended to limit the scope of protection of the claims. Furthermore, in this specification, the drawings are not drawn to scale, and the same reference numerals refer to the same parts.

[0021] figure 1 A flow chart of the early warning method based on ear audiometry data in this embodiment is shown. The method includes the following steps:

[0022] Step S10: Collect ear audiometry data of the group, perform cluster analysis on the ear audiometry data, and divide the group ...

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PUM

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Abstract

This solution involves artificial intelligence, and provides an early warning method, device and storage medium based on ear audiometry data. The method includes: collecting ear audiometry data of a group, performing cluster analysis on the ear audiometry data, and classifying the group according to the degree of hearing loss. Divided into multiple hearing loss clusters; earmuffs are divided into the same number of protection levels according to the number of hearing loss clusters, and the protection level of earmuffs is divided according to the size of the sound attenuation value of earmuffs; corresponding to each hearing loss cluster The average binaural high-frequency average hearing thresholds are arranged from high to low, and earmuffs with low to high sound attenuation values ​​are recommended. The invention uses the group binaural high-frequency average hearing threshold variation curve, and combines the difference between the individual binaural high-frequency average hearing threshold and the group binaural high-frequency average hearing threshold variation curve to provide an early warning. Recommend suitable earmuffs according to the personal average binaural high-frequency hearing threshold, and recommend and adjust the matching of employees with noise-producing jobs based on the personal binaural high-frequency average hearing threshold.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular, to an early warning method, device and storage medium based on ear audiometry data. Background technique [0002] With the progress of society and the development of economy, the situation that human beings have to face the strong noise environment can be seen everywhere. For example, operating next to large machinery in a factory such as loom lathes, air compressors, blowers, etc. Strong noise can cause a series of serious problems. First of all, high-intensity noise will make people feel fatigued, produce negative emotions, and cause serious damage to the nervous system, blood circulatory system, endocrine system, digestive system, vision, hearing, intelligence, etc. Hearing protection is an essential measure. In some strong noise environments, while receiving hearing protection, people also need to be sensitive enough to the sound in the surrounding environment to monit...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/12A61F11/14
Inventor 巴堃周冬雪徐亮
Owner PING AN TECH (SHENZHEN) CO LTD