WO2024075872A1 - Artificial intelligence-based harmful environment control system linked to internet of things, and control method therefor - Google Patents

Abstract

The present invention relates to an artificial intelligence-based harmful environment control system linked to the Internet of Things, and a control method therefor, and can provide a home networking service that can prevent a human accident beforehand and includes remote control, by comprising: a plurality of Internet of Things sensors for measuring harmful elements and environmental elements in a closed space and the presence of people in the closed space; a controller unit which controls that harmful element measurement values and environmental element measurement values provided from the plurality of Internet of Things sensors are displayed, compares the harmful element measurement values to a reference range measurement value so as to determine a harmful environment status through artificial intelligence according to the reference range measurement value and the presence of people, determines a control scheme corresponding to the determined harmful environment status, and then selectively provides an operation control signal for removing the harmful elements according to the determined control scheme, selectively controls that a guidance screen and message corresponding to the harmful environment status are output, and transmits harmful environment control information including the harmful element measurement values, the environmental element measurement values, the harmful environment status, and the control scheme; a display panel for displaying the harmful element measurement values, the environmental element measurement values, and the guidance screen according to control by the control unit; a speaker for outputting the guidance message as a voice according to control by the control unit; and a ventilation operation device that operates by receiving the operation control signal in order to remove the harmful elements.

Description

Artificial intelligence-based hazardous environment control system linked to the Internet of Things and its control method

The present invention relates to an artificial intelligence-based hazardous environment control system and control method linked to the Internet of Things, specifically, carbon monoxide (CO), carbon dioxide (CO2), fine dust (PM10), and ultrafine dust (PM2.5). ), detects at least one harmful element among radon and volatile organic compounds (VOC), determines the control method using artificial intelligence according to the measured harmful element value, and then performs operation control to eliminate the harmful element according to the determined control method. It relates to an artificial intelligence-based hazardous environment control system and its control method linked to the Internet of Things, which can not only prevent human accidents by performing this in advance, but also provide various home networking services including remote control.

As is well known, the Internet of Things (IoT) refers to a technology that connects various objects to the Internet by embedding sensors and communication functions. Things connected to the Internet exchange data, analyze and learn information on their own. It is known as an artificial intelligence technology that can be provided to the user or remotely controlled by the user.

Here, objects may include various embedded systems such as home appliances, mobile devices, and wearable computers.

Objects connected to the Internet of Things (IoT) as described above must be connected to the Internet with a unique IP that can distinguish them, and can be equipped with various sensors to acquire data from the external environment.

This is a concept developed from the conventional USN (Ubiquitous Sensor Network) and M2M (Machine to Machine), and is recognized as being expanded to also include IoT intelligence communication and Internet of Everything (IoE).

In addition, in the Internet of Things (IoT) environment, intelligent IT (internet technology) services that create new value in human life by collecting and analyzing data generated from connected objects can be provided, which can be combined with existing IT technology and various industries. It is being applied to fields such as smart home, smart building, smart city, smart car or connected car, smart grid, healthcare, smart home appliances, and advanced medical services through convergence and combination between them.

Meanwhile, accidents frequently occur in closed spaces (e.g., homes, offices, etc.) that result in exposure to harmful gases, causing various diseases or even death in severe cases, such as carbon monoxide (CO), carbon dioxide (CO2), etc. ), fine dust (PM10), ultrafine dust (PM2.5), radon, volatile organic compounds (VOC), etc., if exposed to or inhaled, may cause diseases such as lung cancer, lung disease, cardiovascular disease, leukemia, etc., or cause serious injury. Accidents are occurring.

To solve these problems, there is a need to develop a system to eliminate harmful environments with artificial intelligence (AI) using various sensors in an Internet of Things (IoT) environment in a closed space.

The present invention detects at least one harmful element among carbon monoxide (CO), carbon dioxide (CO2), fine dust (PM10), ultrafine dust (PM2.5), radon, and volatile organic compounds (VOC) and measures the harmful element value. Accordingly, the hazardous environmental situation is judged using artificial intelligence, a control method corresponding to the determined hazardous environmental situation is determined, and then operation control is performed to eliminate the harmful elements according to the determined control method, thereby preventing human accidents in advance. In addition, we aim to provide an artificial intelligence-based hazardous environment control system and control method linked to the Internet of Things that can provide various home networking services including remote control.

In addition, the present invention determines the control method by referring to the accumulated data by time and place where harmful elements were measured using artificial intelligence, and by the number of times the ventilation operating device was controlled, and measures harmful elements provided through a plurality of Internet of Things sensors. After determining and controlling the control method through supervised learning through comparison with the standard range measurement using values, environmental element measurements, and human presence, the risk situation is analyzed and predicted through unsupervised learning using accumulated data. An artificial intelligence-based hazardous environment control system and its control method linked to the Internet of Things that can not only actively eliminate harmful elements that cause dangerous situations but also prevent human accidents due to this by providing it to users. We would like to provide.

The purposes of the embodiments of the present invention are not limited to the purposes mentioned above, and other purposes not mentioned will be clearly understood by those skilled in the art from the description below. .

According to one aspect of the present invention, a plurality of Internet of Things sensors that measure harmful elements and environmental factors in an enclosed space and the presence or absence of people in the enclosed space; Controls to display the harmful element measurement values and environmental element measurement values provided from the plurality of IoT sensors, compares the harmful element measurement values with the reference range measurement value, and uses artificial intelligence according to the reference range measurement value and the presence or absence of a person. determines a hazardous environmental situation, determines a control method corresponding to the determined hazardous environmental situation, selects and provides an operation control signal to eliminate the harmful elements according to the determined control method, and responds to the hazardous environmental situation. a controller unit that selects and controls to output a guidance screen and a guidance message and transmits hazardous environment control information including the hazardous element measurement values, environmental element measurement values, hazardous environment situation, and control method; a display panel that displays the measured values of harmful elements and measured values of environmental elements under the control of the controller unit and displays the information screen; a speaker that outputs the information message as a voice according to the control of the controller unit; and a ventilation operating device that receives the operation control signal and operates to eliminate the harmful elements. An artificial intelligence-based hazardous environment control system linked to the Internet of Things may be provided.

In addition, according to one aspect of the present invention, the hazardous environment control system includes a wired and wireless communication network connected to the controller unit to transmit the hazardous environment control information; a hazardous environment management server that receives, stores, and manages the hazardous environment control information through the wired and wireless communication network; a plurality of communication terminals that receive the hazardous environment control information through a hazardous environment control application provided by the hazardous environment management server; and a worker terminal connected to the controller unit through a low-power communication method through the wired or wireless communication network. An artificial intelligence-based hazardous environment control system linked to the Internet of Things may be provided.

In addition, according to one aspect of the present invention, the plurality of communication terminals include an administrator terminal and a user terminal registered with the hazardous environment control server, and the administrator terminal receives a notification corresponding to the hazardous environment situation from the controller unit. An artificial intelligence-based hazardous environment control system linked to the Internet of Things that receives and provides messages may be provided.

In addition, according to one aspect of the present invention, the plurality of IoT sensors are capable of detecting carbon monoxide (CO), carbon dioxide (CO2), fine dust (PM10), ultrafine dust (PM2.5), radon, and volatile organic compounds (VOC). ) a hazardous element measurement sensor for measuring the harmful elements including at least one of, an environmental element measurement sensor for measuring the environmental elements including at least one of temperature and humidity, and an infrared detection sensor for measuring the presence or absence of the person. An artificial intelligence-based hazardous environment control system that is linked to the Internet of Things, including, may be provided.

In addition, according to one aspect of the present invention, the ventilation operation device may be provided with an artificial intelligence-based hazardous environment control system linked to the Internet of Things that opens and closes the window or ventilation window according to the operation control signal.

In addition, according to one aspect of the present invention, the controller unit determines the control method by referring to accumulated data for each time period and place where the harmful element was measured using the artificial intelligence and for each control count of the ventilation operating device. However, the hazardous environmental situation is determined by time and place where the harmful elements were measured through supervised machine learning including decision tree techniques, and the cumulative data for determining the hazardous environmental situation is referred to. An artificial intelligence-based hazardous environment control system linked to the Internet of Things can be provided that determines the hazardous environment situation by analyzing hazardous environment patterns according to the hazardous element measurements and environmental element measurements through unsupervised learning.

According to another aspect of the present invention, measuring harmful elements and environmental factors in an enclosed space and the presence or absence of people in the enclosed space using a plurality of IoT sensors; The controller unit compares the hazardous element measurement value with the standard range measurement value, determines the hazardous environmental situation using artificial intelligence according to the standard range measurement value and the presence or absence of people, and then determines a control method corresponding to the determined hazardous environmental status. steps; Selecting and providing an operation control signal for eliminating the harmful element from the controller unit according to the determined control method; outputting a guidance screen and a guidance message corresponding to the hazardous environment situation under control of the controller unit; Operating the ventilation operating device to eliminate the harmful elements according to the operation control signal; An artificial intelligence-based hazardous environment control method that is linked to the Internet of Things, including, may be provided.

In addition, according to another aspect of the present invention, the method for controlling the hazardous environment includes, when the hazardous element measurement value and the environmental element measurement value are provided to the controller unit, the hazardous element measurement value and the environmental element measurement value are displayed through a display panel. An artificial intelligence-based harmful environment control method linked to the Internet of Things may be provided, further comprising the step of displaying.

In addition, according to another aspect of the present invention, the hazardous environment control method includes the steps of transmitting hazardous environment control information including the hazardous element measurement value, environmental element measurement value, hazardous environment situation, and control method; and receiving and storing and managing the hazardous environment control information from a hazardous environment management server. An artificial intelligence-based hazardous environment control method linked to the Internet of Things may be provided.

In addition, according to another aspect of the present invention, the hazardous environment control method includes receiving and providing the hazardous environment control information transmitted from the hazardous environment control server through a hazardous environment control application in a plurality of communication terminals; And receiving and providing a notification message corresponding to the harmful environment situation from the controller unit at the manager terminal included in the plurality of communication terminals. An artificial intelligence-based harmful environment control method linked to the Internet of Things further comprising: can be provided.

In addition, according to another aspect of the present invention, the step of measuring and providing the presence or absence of a person includes carbon monoxide (CO), carbon dioxide (CO2), fine dust (PM10), and ultrafine dust (PM2. 5), measure the harmful elements including at least one of radon and volatile organic compounds (VOC), measure the environmental elements including at least one of temperature and humidity through an environmental element measurement sensor, and use an infrared detection sensor Through this, an artificial intelligence-based hazardous environment control method linked to the Internet of Things that measures the presence or absence of people can be provided.

In addition, according to another aspect of the present invention, the step of determining the control method refers to the accumulated data by time and place where the harmful elements were measured by the artificial intelligence and by the number of times of control of the ventilation operating device. The control method is determined, and the hazardous environmental situation is determined by time and place where the harmful elements were measured through supervised machine learning including decision tree techniques, and the cumulative hazardous environmental situation is determined. An artificial intelligence-based hazardous environment control method linked to the Internet of Things will be provided that determines the hazardous environment situation by analyzing the hazardous environment patterns according to the hazardous element measurements and environmental element measurements through unsupervised learning with reference to the data. You can.

In addition, according to another aspect of the present invention, the step of operating to eliminate the harmful elements is to provide an artificial intelligence-based harmful environment control method linked to the Internet of Things that opens and closes the window or ventilation window according to the operation control signal. You can.

The present invention detects at least one harmful element among carbon monoxide (CO), carbon dioxide (CO2), fine dust (PM10), ultrafine dust (PM2.5), radon, and volatile organic compounds (VOC) and measures the harmful element value. Accordingly, the hazardous environmental situation is judged using artificial intelligence, a control method corresponding to the determined hazardous environmental situation is determined, and then operation control is performed to eliminate the harmful elements according to the determined control method, thereby preventing human accidents in advance. In addition, it can provide various home networking services including remote control.

In addition, the present invention determines the control method by referring to the accumulated data by artificial intelligence, by time and place where harmful elements were measured, and by the number of times the ventilation actuator was controlled, and by using the harmful element measurement values provided through a plurality of Internet of Things sensors. After determining and controlling the control method through supervised learning through comparison with the reference range measurement values using environmental element measurements and human presence, the risk situation is analyzed and predicted through unsupervised learning using accumulated data. By providing it to users, it is possible to not only actively eliminate harmful factors that cause dangerous situations, but also prevent personal accidents resulting from this.

1 is a block diagram illustrating an artificial intelligence-based hazardous environment control system linked to the Internet of Things according to an embodiment of the present invention;

Figure 2 is a diagram conceptually showing an artificial intelligence-based hazardous environment control system linked to the Internet of Things according to an embodiment of the present invention;

Figures 3 to 7 are diagrams for explaining reference range measurement values for determining a hazardous environment situation in an artificial intelligence-based hazardous environment control system linked to the Internet of Things according to an embodiment of the present invention;

Figure 8 is a diagram illustrating the decision of an artificial intelligence control method in a controller unit according to an embodiment of the present invention;

Figure 9 is a diagram illustrating a control device of an artificial intelligence-based hazardous environment control system linked to the Internet of Things according to an embodiment of the present invention;

Figure 10 is a flow chart illustrating a process for controlling a harmful environment based on artificial intelligence linked to the Internet of Things according to another embodiment of the present invention.

Advantages and features of the embodiments of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. The present embodiments are merely provided to ensure that the disclosure of the present invention is complete and to be understood by those skilled in the art. It is provided to fully inform those who have the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

In describing embodiments of the present invention, if a detailed description of a known function or configuration is judged to unnecessarily obscure the gist of the present invention, the detailed description will be omitted. The terms described below are terms defined in consideration of functions in the embodiments of the present invention, and may vary depending on the intention or custom of the user or operator. Therefore, the definition should be made based on the contents throughout this specification.

Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings.

Figure 1 is a block diagram illustrating an artificial intelligence-based hazardous environment control system linked to the Internet of Things according to an embodiment of the present invention, and Figure 2 is an artificial intelligence system linked to the Internet of Things according to an embodiment of the present invention. It is a diagram conceptually showing a hazardous environment control system based on the present invention, and FIGS. 3 to 7 show a reference range for determining a hazardous environment situation in an artificial intelligence-based hazardous environment control system linked to the Internet of Things according to an embodiment of the present invention. Figure 8 is a diagram for explaining measurement values, Figure 8 is a diagram for explaining the decision of an artificial intelligence-based control method in a controller unit according to an embodiment of the present invention, and Figure 9 is a diagram for explaining the Internet of Things according to an embodiment of the present invention. This is a diagram illustrating the control device of an artificial intelligence-based hazardous environment control system that is linked to .

1 to 9, the artificial intelligence-based hazardous environment control system linked to the Internet of Things according to an embodiment of the present invention includes a plurality of Internet of Things sensors 110, a controller unit 120, and a display panel 130. ), a speaker 140, a ventilation operating device 150, a wired/wireless communication network 160, a hazardous environment management server 170, a plurality of communication terminals 180, a worker terminal 190, etc.

The plurality of IoT sensors 110 can measure harmful elements and environmental factors in an enclosed space, and the presence or absence of people in an enclosed space, in real time or at a preset time period (e.g., 30 minutes, 1 hour, etc.).

For example, in closed spaces (e.g., homes, offices, etc.), carbon monoxide (CO), carbon dioxide (CO2), fine dust (PM10), ultrafine dust (PM2.5), radon and volatile A hazardous element measurement sensor 111 for measuring hazardous elements including at least one of organic compounds (VOC), an environmental element measurement sensor 112 for measuring environmental elements including at least one of temperature and humidity, and human presence. It may include an infrared detection sensor 113 that measures presence or absence.

Here, since the harmful element measurement sensor 111, the environmental element measurement sensor 112, and the infrared detection sensor 113 have been disclosed in various ways in the past, detailed descriptions, including their operation methods, etc. are omitted.

These plural IoT sensors 110 may be installed as individual sensors, or a plurality of sensors with multiple functions may be installed, including sensors that measure fine dust (PM10) and ultrafine dust (PM2.5). can be configured as one, or a sensor that measures temperature and humidity can be configured as one.

The controller unit 120 controls to display the harmful element measurement values and environmental element measurement values provided from the plurality of IoT sensors 110, and compares the harmful element measurement values with the standard range measurement values to determine the standard range measurement values and human Depending on the presence or absence of a hazardous environment, the hazardous environmental situation is determined using artificial intelligence, and a control method corresponding to the determined hazardous environmental situation is determined. Then, according to the determined control method, operation control signals are selected and provided to eliminate the hazardous elements, and the hazardous environmental situation is determined. It is possible to select and control the corresponding guidance message to be output by voice, and to transmit hazardous environment control information including measured values of hazardous elements, measured values of environmental elements, hazardous environmental situations, and control methods.

Here, the controller unit 120 can provide control signals by being connected to a plurality of IoT sensors 110, ventilation operating devices 150, etc. through the Internet of Things (IoT), and the display panel 130 and speakers ( 140) may be provided integrally with the controller unit 120.

In addition, the controller unit 120 is equipped with a wired and wireless communication module and can communicate with the hazardous environment management server 170 through the wired and wireless communication network 160. The wired and wireless communication module is, for example, a wired communication module such as RS232 and the like. , for example, includes wireless communication modules such as RF, zigbee, bluetooth, wi-fi, wibro, NFC (near field communication), and BLE (bluetooth low energy). can do.

For example, the controller unit 120 receives harmful element measurement values (e.g., carbon monoxide (CO) measurement values, carbon dioxide (CO2) measurement values, fine dust (PM10) measurement values, Ultrafine dust (PM2.5) measurement values, radon measurement values, volatile organic compounds (VOC) measurement values, etc.) and environmental factor measurement values (e.g., temperature measurement values, humidity measurement values, etc.) and human presence measurement values. can be provided.

At this time, the controller unit 120 may provide a display control signal to the display panel 130 so that the measured values of harmful elements and environmental elements can be displayed through the display panel 130.

This controller unit 120 receives carbon monoxide (CO) measurement values from the harmful element measurement sensor 111 of the plurality of IoT sensors 110, and the carbon monoxide (CO) measurement value is normal at 50 ppm or less in the reference range measurement value. If it is within the range, you can wait for the next measurement value to be provided while maintaining the current ventilation status. Here, the reference range measurement value can be set by referring to the table showing the effect on the human body corresponding to the carbon monoxide (CO) measurement value (concentration), as shown in FIG. 3.

In addition, if it is in the range of 51-200 ppm, it is judged as a primary caution state, and depending on the primary caution state, windows or ventilation windows are partially opened (e.g., 30% of windows opened, one ventilation window opened, etc.). After determining the control method, an operation control signal for controlling the ventilation operation device 150 can be provided according to the determined control method, and a guidance screen indicating the primary caution state is generated and displayed through the display panel 130. It can be controlled to output a voice message through the speaker 140 indicating that it is in a primary caution state.

In addition, if it is in the range of 201-400 ppm, it is judged as a secondary caution state, and the windows or ventilation windows are partially opened (e.g., 60% of the windows and doors opened, two ventilation windows opened, etc.) according to the secondary caution state. After determining the control method, an operation control signal for controlling the ventilation operation device 150 can be provided according to the determined control method, and a guidance screen indicating the secondary caution state is generated and displayed through the display panel 130. It can be controlled to output a voice message through the speaker 140 indicating that it is in a secondary caution state.

In addition, if the range is over 401 ppm, it is judged to be in a dangerous state, and a control method is determined to fully open the window or ventilation window according to the dangerous state (e.g., 100% opening of the window, opening of the entire ventilation window, etc.), and then the determined control method. Accordingly, an operation control signal for controlling the ventilation operating device 150 can be provided, and a guidance screen indicating a dangerous state can be generated and controlled to be displayed through the display panel 130, and through the speaker 140. It can be controlled to output a voice message indicating a dangerous situation.

Meanwhile, the controller unit 120 receives carbon dioxide (CO2) measurement values from the harmful element measurement sensors 111 of the plurality of IoT sensors 110, and the carbon dioxide (CO2) measurement value is 1000 ppm or less from the reference range measurement value. If it is within the normal range, you can wait for the next measurement value to be provided while maintaining the current ventilation status. Here, the reference range measurement value can be set with reference to the concentration display standard corresponding to the carbon dioxide (CO2) measurement value (concentration) as shown in FIG. 4.

In addition, if it is in the range of 1001-2000 ppm, it is judged to be a caution state, and depending on the caution state, windows or ventilation windows are partially opened (for example, 30% or 60% of the window is opened, 1 or 2 ventilation windows are opened, etc.). After determining the control method, an operation control signal for controlling the ventilation operation device 150 can be provided according to the determined control method, and a guidance screen indicating a caution state can be generated and controlled to be displayed through the display panel 130. and can be controlled to output a voice message through the speaker 140 indicating that the user is in a caution state.

In addition, if the range is over 2000 ppm, it is judged to be in a dangerous state, and a control method is determined to fully open the window or ventilation window depending on the dangerous state (e.g., 100% opening of the window, opening of the entire ventilation window, etc.), and then the determined control method. Accordingly, an operation control signal for controlling the ventilation operating device 150 can be provided, and a guidance screen indicating a dangerous state can be generated and controlled to be displayed through the display panel 130, and through the speaker 140. It can be controlled to output a voice message indicating a dangerous situation.

Meanwhile, the controller unit 120 receives fine dust (PM10) and ultrafine dust (PM2.5) measurement values from the harmful element measurement sensor 111 of the plurality of Internet of Things sensors 110 to determine fine dust (PM10). ) If the measured value is within the normal range of 100 μg/㎥ or less from the standard range measurement value and the ultrafine dust (PM2.5) measurement value is within the normal range of 50 μg/㎥ or less from the standard range measurement value, maintain the current ventilation status. In one state, you can wait for the next measurement to be provided. Here, the reference range measurement value can be set with reference to the index classification for fine dust (PM10) measurement values and ultrafine dust (PM2.5) measurement values as shown in FIG. 5.

Additionally, if the fine dust (PM10) measured value is in the range of 101-150 μg/㎥ or the ultrafine dust (PM2.5) measured value is in the range of 51-75 μg/㎥, it is judged to be in a caution state, and depending on the caution state, After determining the control method of partially opening the window or ventilation window (e.g., opening 30% or 60% of the window, opening one or two ventilation windows, etc.), controlling the ventilation operating device 150 according to the determined control method. An operation control signal can be provided, and a guidance screen indicating a caution state can be generated and controlled to be displayed through the display panel 130, and a guidance message indicating a caution state can be controlled to be voice output through the speaker 140. can do.

In addition, if the fine dust (PM10) measurement value is in the range of 151 μg/㎥ or more or the ultrafine dust (PM2.5) measurement value is in the range of 76 μg/㎥ or more, it is judged to be in a dangerous state, and windows or ventilation windows must be opened depending on the dangerous state. After determining the control method for full opening (for example, 100% opening of windows, full opening of ventilation windows, etc.), an operation control signal for controlling the ventilation operating device 150 can be provided according to the determined control method, and the risk A guidance screen notifying that a state is present can be created and controlled to be displayed through the display panel 130, and a guidance message indicating a dangerous state can be controlled to be voice output through the speaker 140.

Meanwhile, the controller unit 120 receives radon measurement values from the harmful element measurement sensors 111 of the plurality of Internet of Things sensors 110, and determines that the radon measurement values are 148 Bq/㎥ or less (or 4 pC/L) from the reference range measurement value. If it is within the normal range (below), you can wait for the next measurement value to be provided while maintaining the current ventilation status. Here, the reference range measurement value can be set with reference to the recommended indoor air quality standards as shown in FIG. 6.

In addition, if it is in the range of 149-300 Bq/㎥, it is judged to be a caution state, and the windows or ventilation windows are partially opened depending on the caution state (for example, 30% or 60% of the windows are opened, one or two ventilation windows are opened, etc.) ) After determining the control method, an operation control signal for controlling the ventilation operation device 150 can be provided according to the determined control method, and a guidance screen indicating a caution state is generated and displayed on the display panel 130. It can be controlled to output a voice message through the speaker 140 indicating a state of caution.

In addition, if it is in the range of 301 Bq/㎥ or more, it is judged to be in a dangerous state, and a control method of fully opening the window or ventilation window according to the dangerous state (e.g., 100% opening of the window, opening of the entire ventilation window, etc.) is determined. Depending on the control method, an operation control signal can be provided to control the ventilation operating device 150, and a guidance screen indicating a dangerous state can be created and controlled to be displayed through the display panel 130, and the speaker 140 You can control the voice output of a guidance message indicating a dangerous situation.

Meanwhile, the controller unit 120 receives the volatile organic compound (VOC) measurement value from the harmful element measurement sensor 111 of the plurality of Internet of Things sensors 110, and the volatile organic compound (VOC) measurement value is within the reference range measurement value. If the normal range is 660 ppm, you can wait for the next measurement value while maintaining the current ventilation status. Here, the reference range measurement value can be set with reference to the concentration display standard corresponding to the volatile organic compound (VOC) measurement value as shown in FIG. 7.

In addition, if it is in the range of 661-2200 ppm, it is judged to be a caution state, and depending on the caution state, windows or ventilation windows are partially opened (for example, 30% or 60% of the window is opened, 1 or 2 ventilation windows are opened, etc.). After determining the control method, an operation control signal for controlling the ventilation operation device 150 can be provided according to the determined control method, and a guidance screen indicating a caution state can be generated and controlled to be displayed through the display panel 130. and can be controlled to output a voice message through the speaker 140 indicating that the user is in a caution state.

In addition, if the range is over 2201 ppm, it is judged to be in a dangerous state, and a control method is determined to fully open the window or ventilation window depending on the dangerous state (e.g., 100% opening of the window, opening of the entire ventilation window, etc.), and then the determined control method. Accordingly, an operation control signal for controlling the ventilation operating device 150 can be provided, and a guidance screen indicating a dangerous state can be generated and controlled to be displayed through the display panel 130, and through the speaker 140. It can be controlled to output a voice message indicating a dangerous situation.

If it is determined to be in a caution or danger state as described above, the controller unit 120 provides hazardous environment control information (e.g., hazardous element measurement values, environmental element measurement values, hazardous environmental situation) corresponding to the caution or danger state. and control method) can be transmitted to the hazardous environment management server 170 through the wired and wireless communication network 160 so that it can be transmitted to a plurality of communication terminals 180 while being stored and managed.

Here, the hazardous environment control information may include all information such as the place where the relevant measurement value was measured, time zone, number of times of control, etc. when the hazardous environment situation is judged to be in a caution state or a dangerous state.

In addition, in the above-described caution state, danger state, etc., the controller unit 120 is explained as controlling the audio output of a guidance message informing of hazardous environmental situations such as caution state and danger state through the speaker 140. However, each If the measured value is within the normal range, or if it is measured through the infrared detection sensor 113 that there are no people inside the enclosed space (i.e. home, office, etc.), the guidance message voice from the speaker 140 is output. It can be controlled not to do so.

Meanwhile, in determining the control method as described above, the controller unit 120 refers to the accumulated data by time and place where harmful elements were measured using artificial intelligence and by the number of times the ventilation operating device 150 was controlled. Determine the hazardous environmental situation by time and place where harmful elements were measured through supervised machine learning, including decision tree techniques, and refer to the cumulative data that determined the hazardous environmental status. Through supervised learning, the hazardous environment situation can be determined by analyzing hazardous environmental patterns according to hazardous element measurements and environmental element measurements.

For example, by analyzing the measurement values of harmful elements collected from sensors installed in different places (e.g., different rooms, different offices, etc.) within a closed space, it is possible to determine whether harmful elements occur frequently or at a relatively high level. Data (i.e., measurement values, status, etc.) about location (e.g., bedroom, study, kitchen, veranda, living room, etc.) and time zone (e.g., morning, day, evening, late at night, etc.) can be stored cumulatively. .

In addition, the controller unit 120 can cumulatively store the number of times the ventilation operation device 150 has been controlled according to the determined control method, and can also control hazardous environment, including the number of times warning of danger to managers, users, workers, etc. The number of times information has been transmitted can be stored cumulatively.

Through this accumulated data, the controller unit 120 sends a warning message requesting safety inspection of the surrounding environment and objects generating hazardous substances in the space (area) where hazardous substances (i.e., hazardous elements) are repeatedly measured through the wired and wireless communication network (160). ) can be transmitted to the hazardous environment management server 170, and if hazardous substances (i.e. harmful elements) are repeatedly measured at a specific time such as bedtime, safety inspection of boilers, heating devices, etc. operated at that time is requested. A warning message can be transmitted to the hazardous environment management server 170 through a wired or wireless communication network 160.

As described above, the controller unit 120 can determine a hazardous environment situation using artificial intelligence and determine a corresponding control method. The hazardous environment control information that analyzes the machine learning supervised learning results each time and provides a warning message is previously stored in the controller unit 120. It can be combined with accumulated data to be stored and managed as new accumulated data, and through unsupervised learning, the control method is determined by referring to the accumulated data by time and place where harmful elements were measured and by the number of times of control of the ventilation operating device (150). can be decided.

For example, the controller unit 120 can determine a control method using a decision tree technique during supervised machine learning, which utilizes a tool such as a decision tree as shown in FIG. 8. It is structured to draw the model as a graph, and is a model that progresses from the root to the appropriate node and makes the final decision. It has the advantage of being easy for anyone to understand and interpreting the results. Afterwards, risk situations can be predicted and controlled using cluster analysis through active execution of unsupervised learning.

Meanwhile, as described above, the controller unit 120 can continuously determine a risk situation (hazardous environmental situation) using the measurement values of harmful elements and environmental elements transmitted from the plurality of IoT sensors 110. In the case of carbon monoxide (CO), a dangerous situation can be judged as a primary caution state if it is in the range of 51-200 ppm, a secondary caution state if it is in the range of 201-400 ppm, and a dangerous state if it is in the range of 401 ppm or more. In the case of carbon dioxide (CO2), a dangerous situation can be judged as a caution state if it is in the range of 1001-2000 ppm, and a dangerous state if it is in the range of 2000 ppm or more.

In addition, in the case of fine dust (PM10) and ultrafine dust (PM2.5), the controller unit 120 measures fine dust (PM10) in the range of 101-150 μg/㎥ or ultrafine dust (PM2.5). If the value is in the range of 51-75 μg/㎥, it is a cautionary state; if the fine dust (PM10) measurement value is in the range of 151 μg/㎥ or more, or the ultrafine dust (PM2.5) measurement value is in the range of 76 μg/㎥ or more, it is dangerous. A dangerous situation can be judged based on the condition, etc.

In addition, the controller unit 120 can determine a dangerous situation such as a caution state when radon is in the range of 149-300 Bq/㎥ and a dangerous state when it is in the range of 301 Bq/㎥ or more, and volatile organic compounds (VOC) In the case of 661-2200 ppm, a dangerous situation can be judged as a caution state, and if the range is 2201 ppm or more, a dangerous state.

As described above, if it is determined to be a dangerous situation, the controller unit 120 transmits a notification message that the current enclosed space is in a dangerous situation to the manager terminal 181 included in the plurality of communication terminals 180 through the wired and wireless communication network 160. In addition, it can be controlled to display a guidance screen informing of a dangerous situation on the display panel 130.

The display panel 130 displays measured values of harmful elements and measured values of environmental elements under the control of the controller unit 120. For example, the measured values of harmful elements and environmental elements are displayed using LCD, OLED, etc. It can be displayed.

Here, carbon monoxide (CO) measurement values, carbon dioxide (CO2) measurement values, fine dust (PM10) measurement values, ultrafine dust (PM2.5) measurement values, radon measurement values, volatile organic compounds (VOC) measurement values, etc. Measured values of environmental factors such as harmful element measurements, temperature measurements, and humidity measurements can be displayed one by one in a circular manner when a separate control key is pressed.

Of course, this display panel 130 can be provided in a touch screen format so that control keys can be input by touching the panel surface.

The harmful element measurement values and environmental element measurement values as described above are displayed under the control of the controller unit 120 depending on the measurement time, or when a separate control key is input, the recently measured harmful element measurement values and environmental element measurement values are displayed. The value can be displayed.

The speaker 140 outputs a voice guidance message according to the control of the controller unit 120, and can receive voice output data provided according to the control method from the controller unit 120 and output it as a voice.

For example, in the case of a caution state, voice data (warning message) corresponding to the caution state may be provided from the controller unit 120 and output as a voice, and in the case of a dangerous state, a voice corresponding to the dangerous state may be output from the controller unit 120. You can receive a message (warning message) and output it as a voice.

Meanwhile, the controller unit 120, display panel 130, and speaker 140 as described above can be provided in an integrated form of a control device as shown in FIG. 9, and can be used in the most convenient place in an enclosed space. It can be installed in a living room (e.g., living room, entrance, etc.).

The ventilation operating device 150 is operated to eliminate harmful elements by receiving an operation control signal from the controller unit 120, and includes a drive motor that is connected to a window or ventilation window and can open or close the window or ventilation window, Through their operation, windows or ventilation windows can be opened and closed.

Here, the ventilation operating device 150 may receive an operation control signal corresponding to the control method from the controller unit 120, and an operation corresponding to the control method determined according to hazardous environmental situations such as safety, caution, risk, etc. Depending on the control signal, the internal air can be ventilated by operating and opening a preset number of windows or ventilation windows, such as some, one, multiple, or all.

This ventilation operating device 150 can open and close the windows or ventilation windows at a desired rate or at a desired number by operating each window or ventilation window connected to a plurality of DC +12V/+24V output ports. For example, in a caution state, open part of the window (e.g., 30%, 60%, etc. of one window) or open one ventilation window, and in a dangerous state, open the entire window (e.g., all windows, etc.). It can be operated by opening or by opening all of the plurality of ventilation windows.

Meanwhile, the ventilation operating device 150 may include an air conditioner, an air purifier, etc., and operates the air conditioner according to a control method determined by artificial intelligence in response to a caution state, a dangerous state, etc. from the controller unit 120 to provide ventilation, purification, etc. The function can be activated, and the air purifying function can be activated by operating the air purifier.

The wired and wireless communication network 160 is connected to the controller unit 120 and transmits hazardous environment control information, and is responsible for mutual data communication between the controller unit 120, the hazardous environment management server 170, and a plurality of communication terminals 180. This can be done, for example, wired communication such as RS232, RF, zigbee, Bluetooth, Wi-Fi, Wibro, NFC (near field communication), BLE. It may include wireless communication such as (bluetooth low energy).

The hazardous environment management server 170 is a server that receives, stores, and manages hazardous environment control information transmitted from the controller unit 120 through the wired and wireless communication network 160, and transmits it from the controller unit 120 through the wired and wireless communication network 160. The hazardous environment control information can be stored (or accumulated) and managed.

This hazardous environment management server 170 can provide hazardous environment information (or hazardous environment control information) about registered confined spaces to registered managers and users, which can be accessed by multiple communication terminals through a separate hazardous environment management application. (180), or it can be provided by accessing and searching the website of the hazardous environment management server (170) from a plurality of communication terminals (180).

In addition, in the hazardous environment management server 170, when hazardous environment control information is transmitted from the controller unit 120 and transmission of a warning message is requested according to situations such as caution or danger, the already registered administrator terminal 181 and user terminal You can send a warning message to (182).

In addition, the hazardous environment management server 170 analyzes the hazardous environment information that is stored and managed cumulatively based on the hazardous environment control information, and if it is judged to be a dangerous situation according to the measured value or the number of warnings, it is separately sent to the manager terminal 181 and the user. A warning message can be transmitted to the terminal 182.

As described above, the hazardous environment management server 170 can provide a remote control function, and the ventilation operation is performed by accessing the website from the manager terminal 181 and the user terminal 182, or by accessing the hazardous environment management application. When a control command for controlling the device 150 (i.e., opening or closing a window or ventilation window, etc.) is transmitted, the control command can be transmitted to the controller unit 120 through the wired or wireless communication network 160.

A plurality of communication terminals 180 are provided with hazardous environment control information through a hazardous environment control application provided from the hazardous environment management server 170, for example, an administrator terminal registered in the hazardous environment management server 170 ( 181) and a user terminal 182.

These plural communication terminals 180 receive warning messages according to situations such as caution or danger in response to the hazardous environment control information transmitted from the controller unit 120 and provide them as a message function, or through a hazardous environment control application. A warning message can be provided along with various data.

Meanwhile, the plurality of communication terminals 180 access the website or access the hazardous environment management application and input control commands to control the ventilation operating device 150 (i.e., opening and closing windows or ventilation windows, etc.). The command can be transmitted to the hazardous environment management server 170.

The plurality of communication terminals 180 as described above may be used, for example, a communication terminal selected from a smartphone, tablet PC, desktop, laptop, mapbook, or PDA.

The worker terminal 190 is a terminal connected to the controller unit 120 through a wired and wireless communication network 160 in a low-power communication method. For example, the worker terminal 190 is directly connected to the controller unit 120 through a BLE (blurtooth low energy) communication method and interacts with the controller unit 120. It can communicate, and can receive and display hazardous environment control information (e.g., hazardous element measurement values, environmental element measurement values, control method, etc.) transmitted through the controller unit 120.

For example, it can be used in work sites where harmful gases are expected, such as construction sites, sewer pipes, and septic tanks, and as a portable device powered by batteries, it can be used with easily portable devices such as smartphones and PDAs.

Therefore, in one embodiment of the present invention, at least one harmful element among carbon monoxide (CO), carbon dioxide (CO2), fine dust (PM10), ultrafine dust (PM2.5), radon, and volatile organic compounds (VOC) is sensed. According to the measured harmful element values, the hazardous environmental situation is determined by artificial intelligence, and a control method corresponding to the determined hazardous environmental situation is determined, and then operation control is performed to eliminate the hazardous elements according to the determined control method, thus saving lives. Not only can accidents be prevented, but various home networking services including remote control can be provided.

In addition, in one embodiment of the present invention, the control method is determined by referring to the accumulated data by time and place where harmful elements were measured by artificial intelligence, and by the number of times the ventilation operating device was controlled, but provided through a plurality of Internet of Things sensors. After determining and controlling the control method through supervised learning through comparison with the standard range measurement values using the measured values of harmful elements, measured values of environmental elements, and presence or absence of people, risk situations are determined through unsupervised learning using accumulated data. By analyzing and predicting and providing them to users, it is possible to not only actively resolve harmful factors that cause dangerous situations, but also prevent personal accidents resulting from them in advance.

Next, using an artificial intelligence-based hazardous environment control system linked to the Internet of Things with the configuration described above, carbon monoxide (CO), carbon dioxide (CO2), fine dust (PM10), and ultrafine dust (PM2.5) are removed. , explains the process of sensing at least one harmful element among radon and volatile organic compounds (VOC) and judging, deciding, and controlling with artificial intelligence to eliminate the harmful element.

Figure 10 is a flow chart illustrating a process for controlling a harmful environment based on artificial intelligence linked to the Internet of Things according to another embodiment of the present invention.

Referring to FIG. 10, harmful elements and environmental factors in an enclosed space, and the presence or absence of people in an enclosed space can be measured using a plurality of IoT sensors 110 (step 1010).

In this step (1010), at least carbon monoxide (CO), carbon dioxide (CO2), fine dust (PM10), ultrafine dust (PM2.5), radon, and volatile organic compounds (VOC) are detected through the hazardous element measurement sensor 111. It can measure harmful elements including one, measure environmental factors including at least one of temperature and humidity through the environmental element measurement sensor 112, and measure the presence or absence of people through the infrared detection sensor 113. .

In addition, when harmful element measurement values and environmental element measurement values are provided to the controller unit 120 from a plurality of IoT sensors 110, the harmful element measurement values and environmental element measurement values can be displayed through the display panel 130. (step 1020).

Here, carbon monoxide (CO) measurement values, carbon dioxide (CO2) measurement values, fine dust (PM10) measurement values, ultrafine dust (PM2.5) measurement values, radon measurement values, volatile organic compounds (VOC) measurement values, etc. Measured values of environmental factors such as harmful element measurements, temperature measurements, and humidity measurements can be displayed one by one in a circular manner when a separate control key is pressed.

Of course, this display panel 130 can be provided in a touch screen format so that control keys can be input by touching the panel surface.

Next, the controller unit 120 compares the hazardous element measurement value with the standard range measurement value and determines the hazardous environment situation using artificial intelligence according to the standard range measurement value and the presence or absence of people, and then controls the hazardous environment situation in response to the determined hazardous environment situation. The method can be determined (step 1030).

For example, the controller unit 120 receives the carbon monoxide (CO) measurement value from the harmful element measurement sensor 111 of the plurality of IoT sensors 110, and the carbon monoxide (CO) measurement value is 50 ppm from the standard range measurement value. If it is in the normal range below, wait for the next measurement value while maintaining the current ventilation status. If it is in the range of 51-200 ppm, it is in a first caution state. If it is in the range of 201-400 ppm, it is in a secondary caution state. If the range is over 401 ppm, the hazardous environment situation is judged as a dangerous state, and in the first caution state, the windows or ventilation windows are partially opened (e.g., 30% of the window and door opened, one ventilation window opened, etc.), and the second is opened partially. Under caution conditions, secondary partial opening of windows or ventilation windows (e.g., 60% opening of windows, opening of two ventilation windows, etc.), and full opening of windows or ventilation windows depending on the risk status (e.g., opening of 100% of windows, etc.) Control methods such as opening all ventilation windows, etc. can be determined.

In addition, the controller unit 120 receives the carbon dioxide (CO2) measurement value from the harmful element measurement sensor 111 of the plurality of Internet of Things sensors 110, and the carbon dioxide (CO2) measurement value is 1000 ppm or less from the reference range measurement value. If it is in the normal range, wait for the next measurement value while maintaining the current ventilation status. If it is in the range of 1001-2000 ppm, determine the hazardous environmental situation as a caution status, if it is in the range of 2000 ppm or more, determine a hazardous environment, etc. The control method can be determined, such as partially opening the windows or ventilation windows in a caution state, or fully opening the windows or ventilation windows in a dangerous state.

In addition, the controller unit 120 receives fine dust (PM10) and ultrafine dust (PM2.5) measurement values from the harmful element measurement sensor 111 of the plurality of Internet of Things sensors 110 to determine fine dust (PM10). ) If the measured value is within the normal range of 100 μg/㎥ or less from the standard range measurement value and the ultrafine dust (PM2.5) measurement value is within the normal range of 50 μg/㎥ or less from the standard range measurement value, maintain the current ventilation status. In one state, waiting for the next measurement value to be provided, if the fine dust (PM10) measurement value is in the range of 101-150 μg/㎥ or the ultrafine dust (PM2.5) measurement value is in the range of 51-75 μg/㎥ Caution status: If the fine dust (PM10) measurement value is in the range of 151 μg/㎥ or more or the ultrafine dust (PM2.5) measurement value is in the range of 76 μg/㎥ or more, the hazardous environment situation is judged as a dangerous state, etc., and the caution state is The control method can be determined, such as partially opening the window or ventilation window in a dangerous situation, or fully opening the window or ventilation window in a dangerous situation.

Meanwhile, the controller unit 120 receives radon measurement values from the harmful element measurement sensors 111 of the plurality of Internet of Things sensors 110, and determines that the radon measurement values are 148 Bq/㎥ or less (or 4 pC/L) from the reference range measurement value. If it is in the normal range (below), wait for the next measurement value while maintaining the current ventilation status, if it is in the range of 149-300 Bq/㎥, it will be in a caution state, if it is in the range over 301 Bq/㎥, it will be in a dangerous state, etc. It is possible to determine a hazardous environmental situation and decide on a control method, such as partially opening windows or ventilation windows in a caution state, or fully opening windows or ventilation windows depending on the risk status.

In addition, the controller unit 120 receives the volatile organic compound (VOC) measurement value from the harmful element measurement sensor 111 of the plurality of Internet of Things sensors 110, and the volatile organic compound (VOC) measurement value is within the reference range measurement value. If it is in the normal range of 660 ppm, wait for the next measurement value while maintaining the current ventilation status. If it is in the range of 661-2200 ppm, it will be in a caution state. If it is in the range of 2201 ppm or more, it will be in a hazardous environment, etc. You can decide on a control method, such as partially opening the windows or ventilation windows in a caution state, or fully opening the windows or ventilation windows depending on the risk situation.

Meanwhile, in this step (1030), the control method is determined by referring to the accumulated data by time and place where harmful elements were measured by artificial intelligence, and by the number of times of control of the ventilation operating device, using a decision tree technique. Through supervised learning of machine learning, the hazardous environmental situation is determined by time and place where harmful elements were measured, and the measured values of hazardous elements and environmental elements are measured through unsupervised learning by referring to the accumulated data that determined the hazardous environmental situation. The hazardous environmental situation can be determined by analyzing the hazardous environmental patterns.

Here, the harmful environment control information that provides a warning message by analyzing the supervised learning results of machine learning as described above each time can be combined with previous accumulated data to be stored and managed as new accumulated data, and harmful environment can be stored and managed through unsupervised learning. The control method can be determined by referring to the accumulated data by time and place where the element was measured, and by the number of times the ventilation operating device 150 was controlled.

For example, the control method can be determined by referring to the accumulated data by artificial intelligence, by time and place where harmful elements were measured, and by the number of times of control of the ventilation operating device 150. For example, by analyzing the measurement values of harmful elements collected from sensors installed in other rooms, other offices, etc., we analyze places where harmful elements occur frequently or at a relatively high level (e.g. bedroom, study, kitchen, veranda) , living room, etc.) and time zone (e.g., morning, day, evening, late at night, etc.) can be stored cumulatively.

In addition, the controller unit 120 can cumulatively store the number of times the ventilation operation device 150 has been controlled according to the determined control method, and can also control hazardous environment, including the number of times warning of danger to managers, users, workers, etc. The number of times information has been transmitted can be stored cumulatively.

Meanwhile, as described above, the controller unit 120 can continuously determine a risk situation (hazardous environmental situation) using the measurement values of harmful elements and environmental elements transmitted from the plurality of IoT sensors 110. In the case of carbon monoxide (CO), the dangerous situation can be judged as a primary caution state, a secondary caution state, and a dangerous state depending on the range of 51-200 ppm, 201-400 ppm, and 401 ppm or more. In this case, a dangerous situation can be judged as a caution state, a dangerous state, etc. depending on the range of 1001-2000 ppm and 2000 ppm or more.

In addition, in the case of fine dust (PM10) and ultrafine dust (PM2.5), the controller unit 120 has fine dust (PM10) in the range of 101-150 μg/㎥ and 151 μg/㎥ or more, or ultrafine dust (PM2.5). Depending on the range (PM2.5) of 51-75 μg/㎥ and 76 μg/㎥ or more, a dangerous situation can be judged as a caution or danger state.

In addition, the controller unit 120 can determine a dangerous situation as a caution state, a dangerous state, etc. depending on the range of 149-300 Bq/㎥ and 301 Bq/㎥ or more in the case of radon, and in the case of volatile organic compounds (VOC) Depending on the range of 661-2200 ppm, 2201 ppm or more, a dangerous situation can be judged as a caution state or a dangerous state.

As described above, if it is determined to be a dangerous situation, the controller unit 120 transmits a notification message that the current enclosed space is in a dangerous situation to the manager terminal 181 included in the plurality of communication terminals 180 through the wired and wireless communication network 160. In addition, it can be controlled to display a guidance screen informing of a dangerous situation on the display panel 130.

Next, the controller unit 120 may select and provide an operation control signal to eliminate harmful elements according to the determined control method (step 1040).

For example, if each measurement value is within the normal range, the controller unit 120 waits without generating an operation control signal, and if a hazardous environmental situation is determined to be a caution state, the controller unit 120 responds to the caution state. Depending on the control method, for example, a ventilation operating device ( 150).

In addition, when the controller unit 120 determines that a hazardous environmental situation is in a dangerous state, for example, to fully open the window or ventilation window, such as opening the window 100%, opening the entire ventilation window, etc., according to the control method corresponding to the dangerous condition. An operation control signal can be generated and provided to the ventilation operation device 150.

At this time, under the control of the controller unit 120, a guidance screen corresponding to the hazardous environmental situation can be displayed through the display panel 130, and a guidance message corresponding to the hazardous environmental situation can be output as a voice through the speaker 140. It can be done (step 1050).

For example, in the case of a caution state, a guidance screen (warning message) corresponding to the caution state may be provided from the controller unit 120 and displayed through the display panel 130, and in the case of a dangerous state, the information screen (warning message) corresponding to the caution state may be provided from the controller unit 120. A guidance screen (warning message) corresponding to a dangerous condition can be provided and displayed through the display panel 130.

In addition, in the case of a caution state, voice data (warning message) corresponding to the caution state can be provided from the controller unit 120 and output as a voice through the speaker 140, and in the case of a dangerous state, the warning message can be output from the controller unit 120. A corresponding voice message (warning message) can be provided and voice output through the speaker 140.

Here, in the controller unit 120, when each measurement value is within the normal range, or when it is measured through the infrared detection sensor 113 that no person is present inside the closed space (i.e. home, office, etc.) The speaker 140 may be controlled not to output the guidance message voice.

Next, the ventilation operation device 150 may be operated to eliminate harmful elements according to the operation control signal of the controller unit 120 (step 1060).

In this step (1060), the window or ventilation window can be opened or closed according to the operation control signal. In the case of a caution state, the window or ventilation window is partially opened according to the operation control signal provided from the controller unit 120 (for example, window 30 % or 60% opening, opening one or two ventilation windows, etc.), and in case of a dangerous state, the window or ventilation window is fully opened according to the operation control signal provided from the controller unit 120 (e.g., It can be operated to open the window 100%, open the entire ventilation window, etc.).

In addition, devices such as air conditioners and air purifiers can also activate functions such as blowing, cleaning, and air purification depending on the state of caution or danger.

Next, the controller unit 120 can transmit hazardous environment control information, including hazardous element measurement values, environmental element measurement values, hazardous environmental situations, and control methods, to the hazardous environment management server 170 through the wired and wireless communication network 160. There is (step 1070).

For example, the controller unit 120 controls hazardous environment including the corresponding hazardous element measurement value, environmental element measurement value, hazardous environment situation, and control method depending on whether it is in the normal range, caution status, or danger status. Information can be generated and transmitted to the hazardous environment management server 170 through the wired and wireless communication network 160.

This hazardous environment control information may also include the number of times of control of the ventilation operating device 150 so that it can be managed cumulatively, and if the hazardous environment situation is in a caution or dangerous state, the relevant location, relevant time zone, etc. may be included so that it can be cumulatively managed. You can.

Additionally, the hazardous environment management server 170 may receive the hazardous environment control information and store and manage it (step 1080).

For example, the hazardous environment management server 170 can store (or accumulate) and manage hazardous environment control information transmitted from the controller unit 120 through the wired and wireless communication network 160, to registered managers and users. Hazardous environment information (or hazardous environment control information) for registered confined spaces can be provided. This information is provided to a plurality of communication terminals 180 through a separate hazardous environment management application, or by accessing and searching the website of the hazardous environment management server 170 from a plurality of communication terminals 180. It can be done.

In addition, in the hazardous environment management server 170, when hazardous environment control information is transmitted from the controller unit 120 and transmission of a warning message is requested according to hazardous environment situations such as caution or danger, the already registered manager terminal 181 and A warning message can be transmitted to the user terminal 182.

In addition, the hazardous environment management server 170 analyzes the hazardous environment information that is stored and managed cumulatively based on the hazardous environment control information, and if it is judged to be a dangerous situation according to the measured value or the number of warnings, it is separately sent to the manager terminal 181 and the user. A warning message can be transmitted to the terminal 182.

Meanwhile, the plurality of communication terminals 180 may receive and provide hazardous environment control information transmitted from the hazardous environment control server 170 through the hazardous environment control application (step 1090).

For example, the plurality of communication terminals 180 can receive hazardous environment control information through a hazardous environment management application or the website of the hazardous environment management server 170, and provide warnings according to hazardous environment situations such as caution and danger. Messages can be received and provided.

Therefore, in another embodiment of the present invention, at least one harmful element of carbon monoxide (CO), carbon dioxide (CO2), fine dust (PM10), ultrafine dust (PM2.5), radon, and volatile organic compounds (VOC) is sensed. By determining the control method using artificial intelligence according to the measured harmful element values and then performing operation control to eliminate the harmful elements according to the determined control method, not only can human accidents be prevented in advance, but remote control is also included. It can provide a variety of home networking services.

In addition, in another embodiment of the present invention, the control method is determined by referring to the accumulated data by artificial intelligence, by time and place where harmful elements were measured, and by the number of times the ventilation operating device was controlled, but provided through a plurality of Internet of Things sensors. After determining and controlling the control method through supervised learning through comparison with the standard range measurement values using the measured values of harmful elements, measured values of environmental elements, and presence or absence of people, risk situations are determined through unsupervised learning using accumulated data. By analyzing and predicting and providing them to users, it is possible to not only actively resolve harmful factors that cause dangerous situations, but also prevent personal accidents resulting from them in advance.

In the above description, various embodiments of the present invention have been presented and explained, but the present invention is not necessarily limited thereto, and those skilled in the art will understand various embodiments without departing from the technical spirit of the present invention. It will be easy to see that branch substitutions, transformations, and changes are possible.

Claims (13)

1. A plurality of Internet of Things sensors that measure harmful and environmental factors in an enclosed space and the presence or absence of people in the enclosed space;

   Controls to display the harmful element measurement values and environmental element measurement values provided from the plurality of IoT sensors, compares the harmful element measurement values with the reference range measurement value, and uses artificial intelligence according to the reference range measurement value and the presence or absence of a person. determines a hazardous environmental situation, determines a control method corresponding to the determined hazardous environmental situation, selects and provides an operation control signal to eliminate the harmful elements according to the determined control method, and responds to the hazardous environmental situation. a controller unit that selects and controls to output a guidance screen and a guidance message and transmits hazardous environment control information including the hazardous element measurement values, environmental element measurement values, hazardous environment situation, and control method;

   a display panel that displays the measured values of harmful elements and measured values of environmental elements under the control of the controller unit and displays the information screen; and

   a speaker that outputs the information message as a voice according to the control of the controller unit; and

   A ventilation operating device that receives the operation control signal and operates to eliminate the harmful elements;

   An artificial intelligence-based hazardous environment control system linked to the Internet of Things, including.
2. In claim 1,

   The hazardous environment control system is,

   A wired and wireless communication network connected to the controller unit to transmit the hazardous environment control information;

   a hazardous environment management server that receives, stores, and manages the hazardous environment control information through the wired and wireless communication network;

   a plurality of communication terminals that receive the hazardous environment control information through a hazardous environment control application provided by the hazardous environment management server; and

   A worker terminal connected to the controller unit through a low-power communication method through the wired or wireless communication network;

   An artificial intelligence-based hazardous environment control system linked to the Internet of Things, which further includes.
3. In claim 2,

   The plurality of communication terminals include an administrator terminal and a user terminal registered with the hazardous environment control server, and the administrator terminal receives and provides a notification message corresponding to the hazardous environment situation from the controller unit and is linked to the Internet of Things. An artificial intelligence-based hazardous environment control system.
4. The method according to any one of claims 1 to 3,

   The plurality of IoT sensors contain the harmful elements including at least one of carbon monoxide (CO), carbon dioxide (CO2), fine dust (PM10), ultrafine dust (PM2.5), radon, and volatile organic compounds (VOC). Artificial intelligence linked to the Internet of Things, including a harmful element measurement sensor that measures the environmental element measurement sensor, which measures the environmental element including at least one of temperature and humidity, and an infrared detection sensor that measures the presence or absence of the person. based hazardous environment control system.
5. In claim 4,

   The ventilation operating device is an artificial intelligence-based hazardous environment control system linked to the Internet of Things that opens and closes windows or ventilation windows according to the operation control signal.
6. In claim 5,

   The controller unit determines the control method by referring to accumulated data by time and place where the harmful elements were measured by the artificial intelligence, and by the number of times of control of the ventilation operating device, using a decision tree technique. Through supervised learning of machine learning, which includes, the hazardous environmental situation is determined for each time period and place where the hazardous element was measured, and the hazardous element measurement value is obtained through unsupervised learning by referring to the accumulated data for determining the hazardous environmental situation. and an artificial intelligence-based hazardous environment control system linked to the Internet of Things that determines the hazardous environment situation by analyzing hazardous environmental patterns according to environmental element measurements.
7. Measuring harmful and environmental factors in an enclosed space and the presence or absence of people in the enclosed space using a plurality of IoT sensors;

   The controller unit compares the hazardous element measurement value with the standard range measurement value, determines the hazardous environmental situation using artificial intelligence according to the standard range measurement value and the presence or absence of people, and then determines a control method corresponding to the determined hazardous environmental status. steps;

   Selecting and providing an operation control signal for eliminating the harmful element from the controller unit according to the determined control method;

   outputting a guidance screen and a guidance message corresponding to the hazardous environment situation under control of the controller unit; and

   Operating the ventilation operating device to eliminate the harmful elements according to the operation control signal;

   An artificial intelligence-based hazardous environment control method linked to the Internet of Things, including.
8. In claim 7,

   The hazardous environment control method is,

   When the harmful element measurement values and environmental element measurement values are provided to the controller unit, displaying the harmful element measurement values and environmental element measurement values through a display panel;

   An artificial intelligence-based hazardous environment control method linked to the Internet of Things, further comprising:
9. In claim 8,

   The hazardous environment control method is,

   Transmitting hazardous environment control information including the hazardous element measurement values, environmental element measurement values, hazardous environmental situation, and control method; and

   Receiving and storing and managing the hazardous environment control information from a hazardous environment management server;

   An artificial intelligence-based hazardous environment control method linked to the Internet of Things, further comprising:
10. In claim 9,

    The hazardous environment control method is,

    Receiving and providing the hazardous environment control information transmitted from the hazardous environment control server through a hazardous environment control application in a plurality of communication terminals; and

    An artificial intelligence-based harmful environment control method linked to the Internet of Things, further comprising: receiving and providing a notification message corresponding to the harmful environment situation from the controller unit at a manager terminal included in the plurality of communication terminals.
11. The method of any one of claims 7 to 10,

    The step of measuring and providing the presence or absence of people includes carbon monoxide (CO), carbon dioxide (CO2), fine dust (PM10), ultrafine dust (PM2.5), radon, and volatile organic compounds (VOC) through a hazardous element measurement sensor. ), measures the environmental elements including at least one of temperature and humidity through an environmental element measurement sensor, and measures the presence or absence of the person through an infrared detection sensor. An artificial intelligence-based hazardous environment control method linked to .
12. In claim 11,

    In the step of determining the control method, the control method is determined by referring to the accumulated data for each time period and place where the harmful element was measured by the artificial intelligence and the number of times of control of the ventilation operating device, and a decision tree ( Through supervised machine learning including the decision tree technique, the hazardous environmental situation is determined for each time period and place where the harmful elements were measured, and the hazardous environmental situation is determined through unsupervised learning by referring to the accumulated data for determining the hazardous environmental situation. An artificial intelligence-based hazardous environment control method linked to the Internet of Things that determines the hazardous environment situation by analyzing hazardous environmental patterns according to hazardous element measurements and environmental element measurements.
13. In claim 12,

    The step operated to eliminate the harmful elements is an artificial intelligence-based harmful environment control method linked to the Internet of Things that opens and closes windows or ventilation windows according to the operation control signal.

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