KR20190143544A - The artificial intelligence smart earplug - Google Patents

Abstract

According to one embodiment of the present invention, provided is an artificial intelligence smart earplug, which comprises: an environmental condition information collection unit for collecting information on the environmental conditions belonging to a user wearing artificial intelligence smart earplugs; an information analysis unit for analyzing collected environmental condition information and classifying the analyzed result; an operation environment determination unit for estimating whether an abnormal change exists in the environmental condition to which the user belongs or the elapsed time that the user has placed under the environmental condition based on the classified environmental condition information; a notification signal generation unit for generating a notification signal for notifying a predetermined alarm to the user of the earplugs or a predetermined target in accordance with a result determined by the operation environmental determination unit; an output unit for outputting a predetermined alarm in accordance with the notification signal; and a communication unit for transmitting the alarm signal to the predetermined target.

Description

AI smart earplugs {THE ARTIFICIAL INTELLIGENCE SMART EARPLUG}

The present invention relates to an artificial intelligence smart earplug, and more particularly, to analyze a user's use environment of a smart earplug for a predetermined period of time, and to notify a user or the like based on the analyzed result. AI smart earplugs.

Workers in a work environment where a constant sound level (dB) hitting sound, friction sound, etc. can be generated, such as in a tunnel, shipyard, automobile, etc., use a simple type of earplug to shield or reduce various kinds of noise. The use of such earplugs has been encouraged (recommended) to prevent industrial accidents such as worker's hearing loss.

However, a simple ear plug using only basic sound insulation materials such as sponge may be effective in blocking noise generated in the workplace, but it may be effective for conversation between workers and abnormal situation in surrounding environment (e.g., dangerous situation). It also blocks various alarm sounds and the like, which causes inconvenience such as having to remove the earplugs in order to recognize a conversation or surrounding situation. This hassle causes workers to neglect wearing earplugs or wear earplugs only on one ear. Resulting in anomalous usage. As a result, workers often suffer from health problems, such as the development of hearing loss in both ears or hearing loss in one ear.

These workers' hearing loss causes not only individual workers but also companies that provide a working environment, which leads to deterioration of work efficiency and reduced productivity.

1. Republic of Korea Patent Publication No. 10-2015-0021290 (published date: 2015.3.2)

In the present invention, when an operator wears earplugs in a working environment in which noise may occur such as a tunnel or a shipyard, when an emergency occurs, the worker (that is, the wearer of the earplugs) can recognize that an emergency has occurred. Since it can be relatively slow compared to the wearer, it is intended to be able to quickly and accurately notify the operator of the change in the working environment.

As an embodiment of the present invention, an artificial intelligence smart earplug and a method of operating the same may be provided.

Artificial intelligence smart earplug according to an embodiment of the present invention, the environmental condition information collection unit for collecting information on the environmental conditions belonging to the user wearing the artificial intelligence earplugs, the result of analyzing and analyzing the collected environmental condition information An information analyzing unit for classifying the information, an operating environment judging unit for estimating the elapsed time under which the user is under an environmental condition or an abnormal change in the environmental condition to which the user belongs based on the classified environmental condition information, and an operating environment judging unit A notification signal generation unit for generating a notification signal for notifying a predetermined alarm to a user or a predetermined target of the earplug according to the determination result by the output, an output unit for outputting a predetermined alarm according to the notification signal, and a notification signal It may include a communication unit for delivering to a predetermined target.

In addition, the environmental condition information according to an embodiment of the present invention may include temperature, humidity, sound, vibration, wind direction, wind speed, type and concentration of the surrounding gas.

The environmental condition information collecting unit includes a temperature humidity sensor module for measuring the temperature and humidity of the environment to which the user wearing the earplugs belongs, a microphone module for receiving sound from the outside of the earplugs, and a vibration applied to the earplugs. Vibration sensor module, air flow sensor module for detecting the wind direction and wind speed transmitted to the earplugs, gas sensor module for detecting the type and concentration of gas in the environment to which the user wearing the earplugs may be included.

The information analyzing unit may analyze the environmental condition information collected through the environmental condition information collecting unit in real time or periodically through machine learning, and classify the analyzed result.

In the information analysis unit, machine learning is performed by assigning weights according to the collection frequency of the environmental condition information, and the operation environment judgment unit determines whether there is an abnormal change in the environmental condition to which the user belongs based on the classified environmental condition information through the information analysis unit. Or, the user can estimate the elapsed time placed under environmental conditions and manage them separately.

The notification signal generator may generate a notification signal to directly warn the user of the earplug by a predetermined alarm or to notify the preset target of the predetermined alarm.

The artificial intelligence smart earplug according to an embodiment of the present invention further includes a user input receiving unit for receiving an input signal applied from the user of the earplug, and the notification signal generated through the notification signal generator is an input signal applied from the user. Can be controlled by.

In addition, the output unit outputs an alarm by performing at least one of the operation of the sound to be output to the user and the application of vibration in accordance with the notification signal, the operation of the sound modulates the sound, increases or decreases the output amount of the sound, It may be to operate.

In accordance with an embodiment of the present invention, a method of operating an AI smart earplug may include collecting information on an environmental condition to which a user wearing the AI smart earplug belongs, analyzing the collected environmental condition information, and analyzing the analyzed result. According to the classification step, the step of estimating the change of the environmental condition to which the user belongs based on the classified environmental condition information, or the estimation of the elapsed time that the user puts under the environmental condition, Generating a notification signal for notifying a user or a predetermined target of a predetermined alarm, outputting a predetermined alarm according to the notification signal, and delivering the notification signal to the preset target, The condition information may include temperature, humidity, sound, vibration, wind direction, wind speed, type and concentration of surrounding gas.

Meanwhile, as an embodiment of the present invention, a computer-readable recording medium having recorded thereon a program for executing the above method on a computer may be provided.

By using the artificial intelligence smart earplug according to an embodiment of the present invention, the earplug wearer can recognize the emergency situation more quickly in various industrial sites, such as noise, thereby effectively preventing industrial accidents.

In addition, by collecting, analyzing, and classifying data around the user's work environment, it is possible to quickly and accurately determine whether an emergency situation occurs, and process the data of the surrounding environment information through machine learning, thereby preventing the possibility of error in the situation prediction. Can be lowered effectively.

As well as a specific worker, it is intuitive and ergonomically designed to be easy to use for the elderly, infants, etc., so that even if used for a long time, it can effectively deliver various sounds through the ear plugs without any discomfort and burden on the ear.

In addition, the artificial intelligence smart earplug according to an embodiment of the present invention can communicate with other workers or groups of workers through the network, the alarm or emergency occurrence notification message to the relevant organizations such as fire department, police station, etc. automatically according to the preset It can also be used to assist in the rapid and proper settlement of emergencies.

1 is a schematic diagram of a communication process using an artificial intelligence smart earplug according to an embodiment of the present invention.
2 is a block diagram of an artificial intelligence smart earplug according to an embodiment of the present invention.
3 is a detailed block diagram of an environmental condition information collecting unit according to an embodiment of the present invention.
4 illustrates an exemplary form (earphone) of an artificial intelligence smart earplug in accordance with an embodiment of the present invention.
5 is a flowchart illustrating a method of operating an intelligent smart earplug according to an embodiment of the present invention.

DETAILED DESCRIPTION Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art may easily implement the present invention. As those skilled in the art would realize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present invention. In the drawings, parts irrelevant to the description are omitted in order to clearly describe the present invention, and like reference numerals designate like parts throughout the specification.

Terms used herein will be briefly described and the present invention will be described in detail.

The terms used in the present invention have been selected as widely used general terms as possible in consideration of the functions in the present invention, but this may vary according to the intention or precedent of the person skilled in the art, the emergence of new technologies and the like. In addition, in certain cases, there is also a term arbitrarily selected by the applicant, in which case the meaning will be described in detail in the description of the invention. Therefore, the terms used in the present invention should be defined based on the meanings of the terms and the contents throughout the present invention, rather than the names of the simple terms.

When any part of the specification is to "include" any component, this means that it may further include other components, except to exclude other components unless otherwise stated. In addition, the terms "... unit", "module", etc. described in the specification mean a unit for processing at least one function or operation, which may be implemented in hardware or software or a combination of hardware and software. . In addition, when a part of the specification is "connected" to another part, this includes not only "directly connected", but also "connected with other elements in the middle".

Workers in tunnels, shipyards, automobile assembly plants, chemical test plants, etc. may be exposed to various noises and hazardous environments. Accordingly, in order to reduce the occurrence of hearing loss due to noise, workers are given the earliest form of earplugs made of sound insulation materials such as sponges, or appropriate work time is set so that the work can be carried out according to the voluntary will of workers. The work was carried out as a temporary guideline for operation. Under these circumstances, workers do not wear earplugs due to inconvenience in communication with nearby workers to increase the likelihood of hearing loss, or use the types of toxic gases and the current spatial concentration of the toxic gases as their sensory organs. Since it is not possible to recognize accurately, it is difficult to easily predict the possibility of various industrial accidents such as fire or collision, as it is exposed to toxic gas, and thus is always exposed to the above-mentioned industrial accident risk.

In addition, as well as workers in the industrial site, it is necessary to prevent in advance the safety accidents that can occur in everyday life of the elderly, infants, adolescents and the like through prediction.

In this specification, as one method for more actively and effectively coping with the above-mentioned risks and problems in the existing industrial field, an artificial intelligence smart earplug is proposed.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

1 is a schematic diagram of a communication process using an artificial intelligence smart earplug according to an embodiment of the present invention, Figure 2 is a block diagram of an artificial intelligence smart earplug according to an embodiment of the present invention, Figure 3 is one of the present invention Detailed block diagram of an environmental condition information collecting unit according to an embodiment. 4 illustrates an exemplary form (earphone) of an artificial intelligence smart earplug according to an embodiment of the present invention.

The artificial intelligence smart earplug 1000 according to an embodiment of the present invention analyzes the collected data by real-time or periodically detecting the surrounding environmental conditions of the user 1 through machine learning or the like, and then analyzes the user's behavior patterns and environmental conditions. It is possible to identify (prediction) whether or not the change of, and the possibility of change. Based on the grasped result, it may be determined whether or not the surrounding environmental condition of the user 1 changes. The change in the ambient environmental conditions can be determined based on an urgent change in the data value (eg, a sudden rise or fall in the ambient temperature) or a non-ideal change in the data. When an emergency situation or the like occurs, the earplug 1000 may notify the user 1 that an emergency situation has occurred through sound transmission of a preset pattern. For example, if it is detected that the concentration of the toxic gas in the vicinity of the user, the earplug user may output a warning such as "Toxic Gas Detected. Immediately Evacuate". In addition, it is possible to notify other workers 3, etc., of the alarm notification about the occurrence of an emergency situation or the like. Furthermore, not only the work control center (control tower) 5 but also the fire station, the police station, and various related state agencies 7 can notify the alarm notification about the occurrence of an emergency situation.

In other words, when the likelihood of an emergency situation or the like is very high, or when an emergency situation occurs, an alarm is notified to not only the user 1 but also the related objects 3, 5 and 7 to raise awareness and to quickly and efficiently take corrective action. I can induce it.

2, the artificial intelligence smart earplug 1000 according to an embodiment of the present invention, the environmental conditions for collecting information about the environmental conditions to which the user 1 wearing the artificial intelligence smart earplug 1000 belongs An information collecting unit 100, an information analyzing unit 200 for analyzing collected environmental condition information and classifying the analyzed result, an abnormality of an environmental condition to which the user 1 belongs based on the classified environmental condition information. The user 1 or the user of the earplug 1000 according to the result of the determination by the operating environment determining unit 300 and the operating environment determining unit 300 for estimating the elapsed time when the user 1 is placed under the environmental condition. A notification signal generator 400 for generating a notification signal for notifying a predetermined alarm to the set targets 3, 5, and 7, an output unit 500 for outputting a predetermined alarm according to the notification signal, and Deliver alerts to preset destinations For it may include a communication unit 600. In addition, the environmental condition information according to an embodiment of the present invention may include temperature, humidity, sound, vibration, wind direction, wind speed, type and concentration of the surrounding gas.

The user of the artificial intelligence smart earplug 1000 according to an embodiment of the present invention is a shipyard worker, a car assembly worker, a tunnel worker, a chemical factory (facility) worker, a worker under a large sound generating environment such as a concert, a military shooting range, a flying facility, This may be a worker in a continuous, temporary, or intensive sound generating environment, such as around a railway. Although the working environment of each worker may be slightly different, it is possible to prevent the occurrence of or prevent the occurrence of the noise, the collision between objects or workers, the collapse of the facility, the burn, the fire, etc., which may occur under various working environments. You need to take action quickly.

Risk factors such as noise, collisions, falls, and fires in working environments such as shipyards and automobile assembly can be cited. For these factors, it is essential to prevent the occurrence of the situation through data collection and modeling. By using the intelligent smart earplug 1000 according to an embodiment of the present invention, it is possible to accurately predict the possibility of a dangerous situation or to quickly propagate the generated situation. In addition, toxic gases, collapses, collisions, fires, and the like may be cited as dangerous factors in the tunnel working environment. Similarly, in a chemical factory working environment, gas leaks, fires, burns, and the like can be identified as a risk factor. Noise, collisions, falls, collapses, and fires can be cited as the causes of dangerous situations in environments where large-scale noise can be generated, such as concert venues, and in working environments such as military shooting ranges, airfields, railway repairs, and maintenance. . As such, the factors causing a dangerous situation in the work environment or daily life are generally common, and thus, environmental condition information may be classified by each factor or by each work environment. By analyzing and classifying the collected environmental condition information through machine learning, the reliability of prediction and judgment results can be improved. This will be described later in detail.

The environmental condition information collecting unit 100 collects in real time information on the environmental condition to which the user 1 wearing the artificial intelligence smart earplug 1000 belongs, or at predetermined time intervals (for example, in a week or month). You can also collect data by enclosing it. In other words, if an operator performs work on a regular basis (eg cleaning a tank in a chemical plant), environmental condition information may be collected at regular intervals.

The environmental condition information collecting unit 100 includes a temperature humidity sensor module 110 for measuring the temperature and humidity of the environment to which the user 1 wearing the earplug 1000 belongs, and a microphone for receiving sound from the outside of the earplug. Module 120, vibration sensor module 130 for detecting the vibration applied to the earplugs, airflow sensor module 140 for detecting the wind direction and wind speed transferred to the earplugs, the user wearing the earplugs environment Gas detection sensor module 150 for detecting the type and concentration of gas in may be included. As described above, the environmental condition information may include temperature, humidity, sound, vibration, wind direction, wind speed, type and concentration of the surrounding gas. Such information items are exemplary, and the items of the environmental condition information according to the working environment, etc. This may be added in addition to the above examples.

The information collected through the environmental condition information collecting unit 100 may be stored and managed in the database 800. In FIG. 2, the database 800 is illustrated as being included in the AI smart earplug 1000. However, the database 800 may be provided separately from the earplug 1000, and in this case, the communication unit 600 may be provided. Information between the earplug 1000 and the database 800 may be transmitted and received.

The information analyzing unit 200 may analyze the environmental condition information collected through the environmental condition information collecting unit 100 in real time or periodically through machine learning, and classify the analyzed result. Through this classification, the earplugs 1000 may predict the occurrence of an emergency situation or determine whether an emergency situation occurs.

Machine learning may be performed by at least one of artificial neural network (ANN), support vector machine (SVM), decision tree learning, or pattern recognition. Various other machine learning methods may be utilized in the information analysis unit 200.

According to an embodiment of the present invention, the information analysis unit 200 may be assigned to the weight according to the collection frequency of the environmental condition information may be machine learning. Since environmental conditions such as workers generally do not change drastically, machine learning may be performed after weighting frequently collected environmental condition information items and corresponding data according to the frequency of data collection of environmental condition information. For example, in a work environment of a shipyard welding worker, the noise generated during the welding work and the ambient noise (eg, the hitting sound, etc.) of a predetermined level (eg, the first reference value) may be frequently collected. Therefore, the collected data can be adjusted by assigning a weight to the collected environmental condition information (for example, a predetermined weight multiple such as 1.5 times, 2 times). Such weights may be preset differently depending on the working environment. In addition, the weight may be determined differently for the environmental condition information for each working environment through machine learning.

Determination of the first reference value can also be determined through machine learning. Since machine learning can be performed based on these adjusted data values, noise patterns for the operator's working environment can be predicted (determined) relatively quickly and accurately. Under the circumstances of the above examples, irregular noise (eg, sudden popping) or noise above the first reference value is specific environmental condition information, which is a determinant that an emergency situation is likely to occur or that an emergency situation has occurred. Can be utilized. In addition, whether or not an emergency occurs may be determined through detection of harmful gas, change in gas concentration, and the like.

The operating environment determiner 300 determines whether there is an abnormal change in the environmental condition to which the user 1 belongs based on the environmental condition information classified through the information analyzer 200 or the elapsed time when the user 1 is placed under the environmental condition. It can be managed by estimating each time. As described above, the presence or absence of an emergency situation can be predicted (determined) by data processing through machine learning, and at the same time, the elapsed time when the user 1 is placed under a specific environmental condition can be estimated. The elapsed time under the user's environmental condition may be started or terminated according to the collection state of the environmental condition information. For example, if a user moves from a quiet place to a place where a certain level of noise is generated, the noise begins to be collected as environmental condition information, and thus an estimation of the elapsed time that has been placed in the user's noise environment is started. Afterwards, if the user moves back to a quiet place or moves to a space in which a louder noise is generated, the elapsed time estimation described above may be terminated since the collection state of the environmental condition information is changed. At the same time, the estimation of the elapsed time can be started at the moved place. In such a repetitive manner, the elapsed time for which the user 1 is placed under environmental conditions can be estimated and managed separately for each turn. Estimated data of the elapsed time divided by each time may be stored in the database 800, the elapsed time of the specific place existence of the user for each time is patterned for each user through machine learning in the information analysis unit 200, and classified It may then be stored in the database (800).

Referring back to FIG. 2, the notification signal generating unit 400 notifies the user 1 of the earplug 1000 of a predetermined alarm to directly warn or to notify a predetermined target of the predetermined signal. Can be generated. As in the above-described example, when the concentration of the toxic gas is gradually increased in the space in which the user is staying, the notification signal generator 400 may generate an alarm signal for inducing immediate evacuation of the user. The user can quickly recognize the possibility of occurrence of an emergency situation and whether or not it is generated by the notification according to the alarm signal. In addition, it is possible to efficiently cope with an emergency situation by notifying a predetermined alarm to a target (for example, 3, 5, 7, etc.) preset by the user.

The artificial intelligence smart earplug 1000 according to the embodiment of the present invention further includes a user input receiver 700 for receiving an input signal applied from the user 1 of the earplug 1000, and the notification signal generator. The notification signal generated through the 400 may be controlled by an input signal applied from the user 1. The user 1 may release the alarm at his or her discretion. Referring to FIG. 4, the user 1 may remove (cancel) the generated notification signal by applying an input signal to the user input receiving unit 700 according to the user's own situation determination. The notification signal may not be transmitted to another object (eg, 3, 5, 7, etc.) by removing (canceling) the notification signal by the user. In other words, depending on whether the external input signal is applied by the user 1, the severity of the emergency situation and the necessity of quick processing can be determined (checked) again, so that the reliability of the alarm notification can be further improved.

In addition, the output unit 500 outputs an alarm by performing at least one of the operation of the sound to be output to the user 1 and the application of vibration in accordance with the notification signal, and the operation of the sound modulates the sound or increases or decreases the output amount of the sound. Or to manipulate the output pattern of the sound. The output of the alarm through the output unit 500 based on the notification signal may be performed as a modulation of the sound from the high frequency sound to the low frequency sound or vice versa. In addition, the output of the alert may be performed by increasing (e.g. raising the sound) or decreasing (e.g. reducing the sound) of the risk-related sound. The sound for alarm output may be output to the user in various patterns. For example, if an object is predicted (determined) approaching from the right side of the user, the alarm sound may be gradually increased through the ear plug 1000 on the right side. At the same time, vibration may be generated at the ear plug 1000 on the right side. The pattern of the alarm sound is, for example, "beep"-pause1-"beep"-pose2-"beepbee"-pose 3-. . . Etc., the time interval of the pose may be in the order of pose 1> pose 2> pose 3, and the time interval of the pose may be preset by the user or may be set by determining that it is most suitable for the situation through machine learning. have.

Referring to FIG. 4, the intelligent smart earplug 1000 according to an embodiment of the present invention may have a neckband shape formed of a body part 1100 and a support part 1200. The output unit 500 may be connected to the body portion 1100 through the connection line 1300, the body portion 1100 may include the environmental condition information collection unit 100 is connected to each other. The communication unit 600 may be wired or wirelessly connected to other components (eg, a power supply unit, etc.) not shown in the body 1100. 4 is an exemplary shape of an earphone shape, the artificial intelligence smart earplug 1000 according to an embodiment of the present invention may be implemented in other shapes.

5 is a flowchart illustrating a method of operating an intelligent smart earplug according to an embodiment of the present invention.

Operation method of the intelligent smart earplug 1000 according to an embodiment of the present invention, the step of collecting information on the environmental conditions to which the user 1 wearing the intelligent smart earplug 1000 belongs (S100), collecting Analyzing the collected environmental condition information and classifying the analyzed result (S200), based on the classified environmental condition information, whether or not there is an abnormal change in the environmental condition to which the user 1 belongs, or the user 1 In step S300 of estimating an elapsed time, the user 1 of the earplug 1000 or the predetermined targets 3, 5, 7 according to a result determined by the operation environment determination unit 300 may receive a predetermined alarm ( generating a notification signal for notifying an alarm (S400), outputting a predetermined alarm according to the notification signal (S500), and delivering the notification signal to a predetermined target (S600), and environmental conditions Information includes temperature, humidity, sound, vibration, Flavor, may be included in the type and concentration of the wind speed, ambient gas.

With regard to the method of operating the intelligent smart earplug according to an embodiment of the present invention, the above description of the apparatus (eg, earplug) may be applied. Therefore, with regard to the method, the description of the same contents as those of the above-described apparatus is omitted.

Meanwhile, the above-described method can be written as a program that can be executed in a computer, and can be implemented in a general-purpose digital computer which operates the program using a computer readable medium. In addition, the structure of the data used in the above-described method can be recorded on the computer-readable medium through various means. A recording medium for recording an executable computer program or code for performing various methods of the present invention should not be understood to include temporary objects, such as carrier waves or signals. The computer readable medium may include a storage medium such as a magnetic storage medium (eg, a ROM, a floppy disk, a hard disk, etc.), an optical reading medium (eg, a CD-ROM, a DVD, etc.).

The foregoing description of the present invention is intended for illustration, and it will be understood by those skilled in the art that the present invention may be easily modified in other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are exemplary in all respects and not restrictive. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

The scope of the present invention is shown by the following claims rather than the above description, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included in the scope of the present invention. do.

1: user 3: other users
5: Work control center (control tower) 7: related organizations
1000: AI Smart Earplugs
100: environmental condition information collection unit 200: information analysis unit
300: operation environment determination unit 400: notification signal generation unit
500: output unit 600: communication unit
700: user input receiving unit 800: database (DB)
110: temperature and humidity sensor module 120: microphone module
130: vibration sensor module 140: air flow sensor module
150: gas sensor module
1100: body 1200: support
1300: connecting line 510: ear cap

Claims (9)

As an AI smart earplug,
An environmental condition information collecting unit for collecting information on an environmental condition to which a user wearing the artificial intelligence smart earplug belongs;
An information analyzer for analyzing the collected environmental condition information and classifying the analyzed result;
An operating environment determination unit for estimating whether there is an abnormal change in an environmental condition to which the user belongs or an elapsed time under which the user is placed under the environmental condition based on the classified environmental condition information;
A notification signal generator for generating a notification signal for notifying a predetermined alarm to a user or a predetermined target of the earplug according to a result determined by the operation environment determination unit;
An output unit for outputting the predetermined alarm according to the notification signal; And
A communication unit for transmitting the notification signal to the preset target,
The environmental condition information is intelligent smart earplugs, characterized in that the temperature, humidity, sound, vibration, wind direction, wind speed, type and concentration of the surrounding gas.
The method of claim 1,
The environmental condition information collection unit includes a temperature humidity sensor module for measuring the temperature and humidity of the environment to which the user belongs;
A microphone module for receiving sound from outside of the earplug;
A vibration sensor module for sensing vibration applied to the earplug;
Airflow sensor module for detecting the wind direction and wind speed transmitted to the earplugs;
Artificial intelligence smart earplugs, characterized in that the gas sensor module for detecting the type and concentration of gas in the environment to which the user wearing the earplugs belong.
The method of claim 1,
The information analysis unit analyzes the environmental condition information collected through the environmental condition information collection unit in real time or periodically through machine learning (machine learning), and intelligent smart earplugs, characterized in that to classify the analyzed results.
The method of claim 3, wherein
In the information analysis unit, machine learning is performed by assigning weights according to the collection frequency of the environmental condition information.
The operation environment determination unit determines whether there is an abnormal change in the environmental conditions to which the user belongs based on the environmental condition information classified through the information analysis unit, or estimates the elapsed time that the user puts under the environmental conditions, and manages them by time. AI smart earplugs characterized in that.
The method of claim 1,
The alert signal generation unit is an artificial intelligence smart earplug, characterized in that a notification signal is generated to directly warn the user by the predetermined alarm to the earplug or to notify the predetermined target to the predetermined alarm.
The method of claim 5,
And a user input receiving unit for receiving an input signal applied from the user of the earplug.
The artificial intelligence smart earplug, characterized in that the notification signal generated through the notification signal generator can be controlled by an input signal applied from the user.
The method of claim 1,
The output unit outputs an alarm by performing at least one of manipulating a vibration and applying vibration to be output to the user according to the notification signal,
The operation of the sound is an artificial intelligence smart earplug that modulates the sound, increases or decreases the output amount of the sound, or manipulates the output pattern of the sound.
As the operation method of artificial intelligence smart earplugs,
Collecting information on an environmental condition to which the user wearing the artificial intelligence smart earplug belongs;
Analyzing the collected environmental condition information and classifying the analyzed result;
Estimating whether there is an abnormal change in an environmental condition to which the user belongs or an elapsed time under which the user is placed under the environmental condition based on the classified environmental condition information;
Generating a notification signal for notifying a predetermined alarm to a user or a predetermined target of the earplug according to a result determined by the operation environment determination unit;
Outputting the predetermined alarm according to the notification signal; And
Transmitting the notification signal to the preset target,
The environmental condition information includes the operation method of the intelligent smart earplugs, characterized in that the temperature, humidity, sound, vibration, wind direction, wind speed, type and concentration of the surrounding gas.
A computer-readable recording medium having recorded thereon a program for implementing the method of claim 8.

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