KR20230040577A - Artificial intelligence based harmful environment control system connected to internet of things and its harmful environment control method - Google Patents

Abstract

The present invention relates to a system for controlling harmful environment based on artificial intelligence linked with the Internet of Things (IoT), and a method for controlling the same, wherein the system comprises: a plurality of IoT sensors for measuring harmful elements and environmental elements in a closed space and the existence or non-existence of a person in the closed space; a controller unit for controlling measured values of the harmful elements and measured values of the environmental elements, which are provided from the plurality of IoT sensors, to be displayed, determining a harmful environment situation with artificial intelligence according to the measured values of reference ranges and the existence or non-existence of the person by comparing the measured values of the harmful elements with the measured values of reference ranges, determining a control method corresponding to the determined harmful environment situation, selectively providing an operation control signal for solving the harmful elements according to the determined control method, selectively controlling a guide screen and a guide message corresponding to the harmful environment situation to be output, and transmitting harmful environment control information including the measured values of the harmful elements, the measured values of the environmental elements, the harmful environment situation, and the control method; a display panel for displaying the measured values of the harmful elements and the measured values of the environmental elements according to the control of the controller unit and displaying the guide screen; a speaker for outputting the guide message according to the control of the controller unit; and a ventilation device operated to solve the harmful elements by receiving the operation control signal. Accordingly, it is possible to prevent accidents in advance and to provide various home networking services including remote control.

Description

Artificial intelligence-based harmful environment control system linked with the Internet of Things and its control method

The present invention relates to an artificial intelligence-based harmful environment control system and method for controlling the harmful environment linked to the Internet of Things, and in detail, to carbon monoxide (CO), carbon dioxide (CO2), fine dust (PM10), and ultrafine dust (PM2.5). ), radon and volatile organic compounds (VOC), by sensing at least one harmful element, determining a control method by artificial intelligence according to the measured harmful element value, and then controlling the operation to eliminate the harmful element according to the determined control method. It relates to an artificial intelligence-based harmful environment control system and a control method thereof interworking with the Internet of Things, which can prevent human accidents in advance and provide various home networking services including remote control.

As is well known, the Internet of Things (IoT) refers to a technology that connects to the Internet by embedding sensors and communication functions in various objects. It is known as an artificial intelligence technology that provides it to the user or allows the user to control it remotely.

Here, things may include, for example, various embedded systems such as home appliances, mobile equipment, and wearable computers.

Things 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 various sensors can be embedded to acquire data from the external environment.

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

In addition, in the Internet of Things (IoT) environment, intelligent IT (internet technology) services that create new values in human life by collecting and analyzing data generated from connected objects can be provided. Through convergence and integration between them, it is applied to fields such as smart home, smart building, smart city, smart car or connected car, smart grid, health care, smart home appliances, and advanced medical service.

On the other hand, there are frequent accidents that cause various diseases or even death in severe cases due to exposure to harmful gases in an enclosed space (eg, home, office, etc.). Carbon monoxide (CO), carbon dioxide (CO2 ), fine dust (PM10), ultrafine dust (PM2.5), radon, volatile organic compounds (VOC), etc. If exposed to or inhaled, diseases such as lung cancer, cardiovascular disease, leukemia, etc. Accidents are happening.

In order to solve these problems, there is a demand for the development of a system for eliminating harmful environments with artificial intelligence (AI) using various sensors in an Internet of Things (IoT) environment in an enclosed space.

1. Korean Registered Patent Publication No. 10-2106195 (registered on April 23, 2020)

The present invention measures harmful element values by sensing 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) According to the artificial intelligence, the harmful environmental situation is determined, and after determining the control method corresponding to the determined harmful environmental situation, action control is performed to solve the harmful element according to the determined control method, thereby preventing human accidents in advance. In addition, it is intended to provide an artificial intelligence-based harmful environment control system and its control method linked with 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 for each time zone and place where harmful elements are measured by artificial intelligence, and for each control number of ventilation operating devices, but measures harmful elements provided through a plurality of IoT sensors. After determining and controlling the control method through supervised learning through comparison with the standard range measurement value using values, environmental element measurement values, and presence or absence of people, risk situations are analyzed and predicted through unsupervised learning using accumulated data. Artificial intelligence-based harmful environment control system and its control method linked with the Internet of Things that can not only actively eliminate harmful factors that cause dangerous situations, but also prevent human accidents in advance by providing them to users want to provide

Objects of the embodiments of the present invention are not limited to the above-mentioned purposes, and other objects not mentioned above 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 IoT sensors for measuring the presence or absence of harmful factors and environmental factors in a confined space, and a person in the confined space; It controls to display the measured values of harmful factors and environmental factors provided from the plurality of IoT sensors, compares the measured values of harmful factors with a reference range measurement value, and artificial intelligence according to the reference range measurement value and the presence or absence of a person. After determining the harmful environment situation, determining a control method corresponding to the determined harmful environment situation, selecting and providing an operation control signal for resolving the harmful factor according to the determined control method, and responding to the harmful environment situation A controller unit that selects and controls to output a guide screen and a guide message, and transmits harmful environment control information including the harmful factor measurement value, environmental factor measurement value, harmful environment situation and control method; a display panel for displaying the measured values of harmful factors and environmental factors and displaying the guide screen under the control of the controller unit; a speaker that outputs the guide message as a sound under the control of the controller unit; And an artificial intelligence-based harmful environment control system that is interlocked with the Internet of Things including; a ventilation operating device operated to eliminate the harmful elements by receiving the operation control signal.

In addition, according to one aspect of the present invention, the harmful environment control system, a wired or wireless communication network connected to the controller unit to transmit the harmful environment control information; a harmful environment management server that receives, stores, and manages the harmful environment control information through the wired/wireless communication network; A plurality of communication terminals receiving the harmful environment control information through the harmful environment control application provided from the harmful environment management server; An artificial intelligence-based harmful environment control system interworking with the Internet of Things including; and a worker terminal connected to the controller unit in a low-power communication method through the wired/wireless communication network may be provided.

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

In addition, according to one aspect of the present invention, the plurality of IoT sensors, carbon monoxide (CO), carbon dioxide (CO2), fine dust (PM10), ultra-fine dust (PM2.5), radon and volatile organic compounds (VOC) ), a harmful factor measuring sensor for measuring the harmful factor including at least one of, an environmental factor measuring sensor for measuring the environmental factor including at least one of temperature and humidity, and an infrared sensor for measuring the presence or absence of the human being. An artificial intelligence-based harmful environment control system interworking with the Internet of things including a can be provided.

In addition, according to one aspect of the present invention, the ventilation operating device may be provided with an artificial intelligence-based harmful environment control system linked with the Internet of Things that opens and closes a window or a 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 zone and place where the harmful factor is measured by the artificial intelligence and for each control number of the ventilation operating device. However, through supervised learning of machine learning including a decision tree technique, the harmful environmental situation is determined by time zone and place where the harmful factor is measured, and the harmful environmental situation is determined by referring to the cumulative data An artificial intelligence-based harmful environment control system that is linked with the Internet of Things that determines the harmful environment situation by analyzing the harmful environment pattern according to the measured values of the harmful factors and the environmental factors through unsupervised learning can be provided.

According to another aspect of the present invention, using a plurality of IoT sensors measuring the harmful factors and environmental factors of the confined space, and the presence or absence of people in the confined space; The controller unit compares the measured value of harmful elements with the measured value of the standard range, determines the harmful environment situation by artificial intelligence according to the measured value of the standard range and whether or not there is a person, and then determines the control method corresponding to the determined harmful environment situation. doing; Selecting and providing an operation control signal for eliminating the harmful factor in the controller unit according to the determined control method; outputting a guide screen and a guide message corresponding to the harmful environmental situation under the control of the controller unit; Step of operating to eliminate the harmful factor in the ventilation operating device according to the operation control signal; An artificial intelligence-based harmful environment control method interworking with the Internet of Things including a can be provided.

In addition, according to another aspect of the present invention, the harmful environment control method, when the harmful factor measurement value and the environmental factor measurement value are provided to the controller unit, the harmful factor measurement value and environmental factor measurement value through a display panel An artificial intelligence-based harmful environment control method that is linked with the Internet of Things further comprising; may be provided.

In addition, according to another aspect of the present invention, the harmful environment control method may include transmitting harmful environment control information including the harmful factor measurement value, environmental factor measurement value, harmful environment situation and control method; And receiving, storing and managing the harmful environment control information from the harmful environment management server; an artificial intelligence-based harmful environment control method interworking with the Internet of Things may be provided.

In addition, according to another aspect of the present invention, the harmful environment control method includes receiving and providing the harmful environment control information transmitted from the harmful environment control server through a harmful 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 in a manager terminal included in the plurality of communication terminals. can be provided.

In addition, according to another aspect of the present invention, the step of measuring and providing the existence of a person is carbon monoxide (CO), carbon dioxide (CO2), fine dust (PM10), ultrafine dust (PM2. 5), measuring the harmful factors including at least one of radon and volatile organic compounds (VOC), measuring the environmental factors including at least one of temperature and humidity through an environmental element measuring sensor, and using an infrared sensor An artificial intelligence-based harmful environment control method that interworks with the Internet of Things for measuring the presence or absence of the human may be provided.

In addition, according to another aspect of the present invention, the step of determining the control method refers to data accumulated for each time zone and place where the harmful factor is measured by the artificial intelligence and for each control number of the ventilation operating device, The control method is determined, but the harmful environmental situation is determined by time zone and place where the harmful factor is measured through supervised learning of machine learning including a decision tree technique, and the harmful environmental situation is accumulated. An artificial intelligence-based harmful environment control method that is linked with the Internet of Things to determine the harmful environment situation by analyzing the harmful environment pattern according to the measured value of the harmful factor and the environmental factor through unsupervised learning with reference to data is provided. can

In addition, according to another aspect of the present invention, in the step of operating to eliminate the harmful elements, an artificial intelligence-based harmful environment control method linked with the Internet of Things for opening and closing windows or ventilation windows according to the operation control signal will be provided. can

The present invention measures harmful element values by sensing 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) According to the artificial intelligence, the harmful environmental situation is determined, and after determining the control method corresponding to the determined harmful environmental situation, action control is performed to solve the harmful element according to the determined control method, thereby preventing human accidents in advance. In addition, various home networking services including remote control can be provided.

In addition, the present invention determines the control method by referring to the accumulated data for each time zone and place where harmful elements are measured by artificial intelligence, and for each control number of ventilation actuators, but the harmful element measurement values provided through a plurality of IoT sensors After determining and controlling the control method through supervised learning through comparison with the standard range measurement value using environmental element measurement values and human presence, risk situations are analyzed and predicted through unsupervised learning using accumulated data. By providing it to the user, it is possible not only to actively eliminate harmful factors that cause dangerous situations, but also to prevent human accidents caused by them in advance.

1 is a block diagram illustrating an artificial intelligence-based harmful environment control system interworking with the Internet of Things according to an embodiment of the present invention;
2 is a diagram conceptually showing an artificial intelligence-based harmful environment control system interworking with the Internet of Things according to an embodiment of the present invention;
3 to 7 are diagrams for explaining a reference range measurement value for determining a harmful environment situation in an artificial intelligence-based harmful environment control system interworking with the Internet of Things according to an embodiment of the present invention,
8 is a diagram for explaining a control method determination of an artificial intelligence method in a controller unit according to an embodiment of the present invention;
9 is a diagram illustrating a control device of an artificial intelligence-based harmful environment control system interworking with the Internet of Things according to an embodiment of the present invention;
10 is a flowchart illustrating a process of controlling a harmful environment based on artificial intelligence interworking with the Internet of Things according to another embodiment of the present invention.

Advantages and characteristics of the embodiments of the present invention, and methods for achieving them will become clear with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only these embodiments make the disclosure of the present invention complete, and common knowledge in the art to which the present invention belongs. It is provided to completely inform the person who has the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numbers designate like elements throughout the specification.

In describing the embodiments of the present invention, if it is determined that a detailed description of a known function or configuration may unnecessarily obscure the subject matter of the present invention, the detailed description will be omitted. In addition, terms to be described later are terms defined in consideration of functions in the embodiment of the present invention, which may vary according to the intention or custom of a 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 accompanying drawings.

1 is a block configuration diagram illustrating an artificial intelligence-based harmful environment control system interworking with the Internet of Things according to an embodiment of the present invention, and FIG. 2 is an artificial intelligence interworking with the Internet of Things according to an embodiment of the present invention. 3 to 7 are diagrams conceptually showing the harmful environment control system based on the present invention, and FIGS. 8 is a diagram for explaining a control method determination of an artificial intelligence method in a controller unit according to an embodiment of the present invention, and FIG. It is a diagram illustrating a control device of an artificial intelligence-based harmful environment control system that is interlocked with.

1 to 9, the artificial intelligence-based harmful environment control system interworking with the IoT according to an embodiment of the present invention includes a plurality of IoT 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 harmful environment management server 170, a plurality of communication terminals 180, a worker terminal 190, and the like.

The plurality of IoT sensors 110 may measure harmful factors and environmental factors in the confined space and the presence or absence of people in the confined space in real time or at a predetermined time period (eg, 30 minutes, 1 hour, etc.).

For example, in an enclosed space (eg, home, office, etc.), for example, carbon monoxide (CO), carbon dioxide (CO2), fine dust (PM10), ultrafine dust (PM2.5), radon and volatile A harmful element measuring sensor 111 for measuring harmful elements including at least one of organic compounds (VOC), an environmental element measuring sensor 112 for measuring environmental elements including at least one of temperature and humidity, and human presence An infrared sensor 113 for measuring presence or absence may be included.

Here, since the harmful element measuring sensor 111, the environmental element measuring sensor 112, and the infrared sensor 113 have been variously disclosed in the prior art, a detailed description including their operation method will be omitted.

The plurality of IoT sensors 110 may be installed as individual sensors, or a plurality of sensors having a plurality of functions may be installed. Sensors for measuring fine dust (PM10) and ultrafine dust (PM2.5) may be configured as one, or a sensor for measuring temperature and humidity may be configured as one.

The controller unit 120 controls to display the measured values of harmful factors and environmental factors provided from the plurality of IoT sensors 110, compares the measured values of harmful factors with the standard range measurement values, and compares the standard range measurement values and human Harmful environmental conditions are judged by artificial intelligence according to presence or absence, and after determining a control method corresponding to the determined harmful environmental conditions, operation control signals are selected and provided to resolve harmful elements according to the determined control method, and harmful environmental conditions It is possible to select and control a guide message corresponding to the audio output, and to transmit harmful environment control information including harmful factor measurement values, environmental factor measurement values, harmful environment conditions, and control methods.

Here, the controller unit 120 may provide a control signal by being connected to a plurality of IoT sensors 110, ventilation operating devices 150, etc. in the Internet of Things (IoT) method, and the display panel 130, speaker ( 140) and the like may be provided in a form integrally provided with the controller unit 120.

In addition, the controller unit 120 may be provided with a wired/wireless communication module to mutually communicate with the harmful environment management server 170 through a wired/wireless communication network 160. The wired/wireless communication module is, for example, a wired communication module such as RS232 , For example, including wireless communication modules such as RF, zigbee, bluetooth, wi-fi, wibro, near field communication (NFC), and bluetooth low energy (BLE) can do.

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

At this time, the controller unit 120 may provide a display control signal to the display panel 130 to display the measured values of harmful factors and environmental factors through the display panel 130 .

In this controller unit 120, the carbon monoxide (CO) measurement value is provided from the harmful element measurement sensor 111 of the plurality of IoT sensors 110, and the carbon monoxide (CO) measurement value is normal of 50 ppm or less in the reference range measurement value. If it is within the range, it is possible to wait for the provision of the next measured value while maintaining the current ventilation condition. Here, the reference range measurement value may be set with reference to a table showing the effect on the human body corresponding to the carbon monoxide (CO) measurement value (concentration) as shown in FIG. 3 .

And, if it is in the range of 51-200 ppm, it is judged as the first caution state, and according to the first alert state, the window or ventilation window is first partially opened (eg, 30% of the window is opened, one ventilation window is opened, etc.) After determining the control method, an operation control signal for controlling the ventilation operating device 150 may be provided according to the determined control method, and a guide screen notifying that the primary attention state is generated and displayed through the display panel 130 It can be controlled, and a guide message notifying that the primary attention state can be controlled to output audio through the speaker 140 .

In addition, if it is in the range of 201-400 ppm, it is judged as a secondary caution state, and depending on the secondary alert state, the window or ventilation window is partially partially opened (eg, 60% of the window is opened, 2 ventilation windows are opened, etc.) After determining the control method, an operation control signal for controlling the ventilation operating device 150 may be provided according to the determined control method, and a guide screen notifying that the secondary attention state is generated and displayed through the display panel 130 It can be controlled, and a guide message notifying that the secondary attention state can be controlled to sound through the speaker 140 .

In addition, if it is in the range of 401 ppm or more, it is judged as a dangerous state, and after determining the control method of fully opening windows or ventilation windows (eg, 100% opening of windows, opening of all ventilation windows, etc.) according to the dangerous state, the determined control method It is possible to provide an operation control signal for controlling the ventilation operating device 150 according to the method, and it is possible to generate a guide screen indicating a dangerous state and display it through the display panel 130, and through the speaker 140 It can be controlled to output a guide message notifying that the dangerous state is in a voice.

On the other hand, the controller unit 120 receives the carbon dioxide (CO2) measurement value from the harmful element measurement sensor 111 of the plurality of IoT sensors 110, and the carbon dioxide (CO2) measurement value is 1000 ppm or less in the reference range measurement value. If it is within the normal range, it is possible to wait for the provision of the next measured value while maintaining the current ventilation condition. Here, the reference range measurement value may be set with reference to the concentration display standard corresponding to the carbon dioxide (CO 2 ) measurement value (concentration) as shown in FIG. 4 .

And, if it is in the range of 1001-2000 ppm, it is judged as a warning state, and windows or ventilation windows are partially opened (eg, 30% or 60% of windows open, 1 or 2 ventilation windows open, etc.) depending on the warning state. After determining the control method, it is possible to provide an operation control signal for controlling the ventilation operating device 150 according to the determined control method, and to generate a guide screen notifying that the attention state is controlled to be displayed through the display panel 130. It is possible to control the audio output of a guide message notifying that the user is in an attention state through the speaker 140 .

In addition, if it is in the range of 2000 ppm or more, it is judged as a dangerous state, and after determining the control method of fully opening windows or ventilation windows (eg, 100% opening of windows, opening of all ventilation windows, etc.) according to the dangerous state, the determined control method It is possible to provide an operation control signal for controlling the ventilation operating device 150 according to the method, and it is possible to generate a guide screen indicating a dangerous state and display it through the display panel 130, and through the speaker 140 It can be controlled to output a guide message notifying that the dangerous state is in a voice.

On the other hand, the controller unit 120 receives fine dust (PM10) measurement values and ultrafine dust (PM2.5) measurement values from the harmful element measurement sensor 111 of the plurality of IoT sensors 110, and 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, the current ventilation condition is maintained In one state, it is possible to wait for provision of the next measured value. Here, the reference range measurement value may be set with reference to the index classification for the measurement value of fine dust (PM10) and the measurement value of ultrafine dust (PM2.5) as shown in FIG. 5 .

And, if the measured value of fine dust (PM10) is in the range of 101-150 μg/m3 or the measured value of ultrafine particulate matter (PM2.5) is in the range of 51-75 μg/m3, it is determined as a caution state, and according to the alert state After determining a control method for partially opening a window or ventilation window (eg, opening 30% or 60% of a window, opening one or two ventilation windows, etc.), controlling the ventilation operating device 150 according to the determined control method It is possible to provide an operation control signal for attention, generate a guide screen notifying that the attention state is displayed and display it through the display panel 130, and control to output an audio guide message indicating the attention state through the speaker 140. can do.

In addition, if the measured value of fine dust (PM10) is in the range of 151 μg/㎥ or more or the measured value of ultrafine dust (PM2.5) is in the range of 76 μg/㎥ or more, it is judged to be in a dangerous state, and windows or ventilation windows are closed depending on the dangerous state. After determining the control method for full opening (eg, opening 100% of windows, opening the entire ventilation window, etc.), an operation control signal for controlling the ventilation operating device 150 may be provided according to the determined control method, It is possible to generate and control a guide screen notifying that the state is displayed and display it through the display panel 130, and to output a guide message notifying the danger state through the speaker 140 as a sound.

On the other hand, in the controller unit 120, the radon measurement value is provided from the harmful element measurement sensor 111 of the plurality of IoT sensors 110, and the radon measurement value is 148 Bq / ㎥ or less in the standard range measurement value (or 4pC / L Below), it is possible to wait for the provision of the next measured value while maintaining the current ventilation condition. Here, the standard range measurement value may be set with reference to the indoor air quality recommendation standard as shown in FIG. 6 .

And, if it is in the range of 149-300 Bq/㎥, it is judged as a caution state, and depending on the alert state, windows or ventilation windows are partially opened (eg, 30% or 60% of windows open, 1 or 2 ventilation windows open, etc.) ) After determining the control method, it is possible to provide an operation control signal for controlling the ventilation operating device 150 according to the determined control method, and to generate a guide screen notifying that the attention state is generated and displayed through the display panel 130. It can be controlled, and it can be controlled to output a guide message informing that it is in an attention state through the speaker 140 by voice.

In addition, if it is in the range of 301 Bq/㎥ or more, it is judged as a dangerous state, and after determining the control method of fully opening windows or ventilation windows (eg, 100% opening of windows, opening of all ventilation windows, etc.) according to the dangerous state, the determined Depending on the control method, an operation control signal for controlling the ventilation operating device 150 may be provided, and a guide screen indicating a dangerous state may be generated and displayed through the display panel 130, and the speaker 140 It is possible to control so that a guide message notifying that a dangerous state is output through audio.

On the other hand, the controller unit 120 receives the volatile organic compound (VOC) measurement value from the harmful element measurement sensor 111 of the plurality of IoT sensors 110, and the volatile organic compound (VOC) measurement value is in the standard range measurement value If it is within the normal range of 660 ppm, it is possible to wait for the provision of the next measured value while maintaining the current ventilation condition. Here, the reference range measurement value may be set with reference to the concentration display standard corresponding to the volatile organic compound (VOC) measurement value as shown in FIG. 7 .

And, if it is in the range of 661-2200 ppm, it is judged as a warning state, and windows or ventilation windows are partially opened (eg, 30% or 60% of windows open, 1 or 2 ventilation windows open, etc.) depending on the warning state. After determining the control method, it is possible to provide an operation control signal for controlling the ventilation operating device 150 according to the determined control method, and to generate a guide screen notifying that the attention state is controlled to be displayed through the display panel 130. It is possible to control the audio output of a guide message notifying that the user is in an attention state through the speaker 140 .

In addition, if it is in the range of 2201 ppm or more, it is judged as a dangerous state, and after determining the control method of fully opening windows or ventilation windows (eg, 100% opening of windows, opening of all ventilation windows, etc.) according to the dangerous state, the determined control method It is possible to provide an operation control signal for controlling the ventilation operating device 150 according to the method, and it is possible to generate a guide screen indicating a dangerous state and display it through the display panel 130, and through the speaker 140 It can be controlled to output a guide message notifying that the dangerous state is in a voice.

When it is determined that the above-described warning or dangerous state exists, the controller unit 120 provides hazardous environment control information (e.g., hazardous element measurement value, environmental element measurement value, harmful environment situation) corresponding to the corresponding caution or dangerous state. and control method) can be transmitted to the harmful environment management server 170 through the wired/wireless communication network 160 so that it can be transmitted to a plurality of communication terminals 180 while storing and managing.

Here, the harmful environment control information may include all information such as a place where the measured value was measured, a time zone, and the number of times of control when the harmful environment situation is determined as a warning state or a dangerous state.

In addition, in the above-described caution state, danger state, etc., the controller unit 120 has been described as controlling to output a sound guide message informing of a harmful environment situation such as a caution state, a danger state, etc. through the speaker 140, but each When the measured value is within the normal range, or when it is determined that there is no person inside an enclosed space (ie, home, office, etc.) through the infrared sensor 113, the voice of the guide message from the speaker 140 is output. It can be controlled not to do so.

On the other hand, in determining the control method as described above, the controller unit 120 refers to the control method by referring to data accumulated by time and place where harmful factors are measured by artificial intelligence and by number of times of control of the ventilation operating device 150. However, through machine learning supervised learning including a decision tree technique, the harmful environment situation is determined by time zone and place where harmful factors are measured, and the harmful environment situation is compared by referring to the cumulative data that determines the harmful environment situation. Through supervised learning, it is possible to determine the hazardous environment situation by analyzing the hazardous environment pattern according to the measured values of hazardous factors and environmental factors.

For example, by analyzing the measured values of harmful elements collected from sensors installed in different places (eg, different rooms, different offices, etc.) in an enclosed space, it is possible to determine whether harmful elements occur frequently or occur relatively high. Data (ie, measurement values, status, etc.) for locations (eg, bedroom, study, kitchen, veranda, living room, etc.) and time zone (eg, morning, day, evening, late night, etc.) can be accumulated and stored. .

In addition, the controller unit 120 can accumulate and store the number of times the ventilation operation device 150 has been operated and controlled according to the determined control method, and also controls the harmful environment including the number of warnings of danger to managers, users, workers, etc. The number of transmissions of information can be accumulated and stored.

Through these cumulative data, the controller unit 120 transmits a warning message requesting safety inspection of the surrounding environment and objects generating hazardous substances to the space (region) where harmful substances (ie, harmful elements) are repeatedly measured through the wired/wireless communication network (160). ) to the harmful environment management server 170, and if harmful substances (i.e., harmful elements) are repeatedly measured at a specific time period such as bedtime, request safety inspection of boilers, heaters, etc. operated during that time period A warning message may be transmitted to the harmful environment management server 170 through the wired/wireless communication network 160.

As described above, the controller unit 120 can determine a harmful environment situation by artificial intelligence and determine a corresponding control method. It can be combined with the accumulated data and stored and managed as new accumulated data, and the control method by referring to the data accumulated by the number of times of control of the ventilation operating device 150 by time zone and place where harmful factors were measured through unsupervised learning can determine

For example, the controller unit 120 can determine a control method using a decision tree technique during supervised learning of machine learning, which utilizes a tool such as a decision tree as shown in FIG. 8. It has a structure in which the model is drawn as a graph, and it is a model that is finally decided after proceeding while selecting an appropriate node from the root, and has the advantage that anyone can easily understand it and interpret the result. After that, through active execution with unsupervised learning, risk situations can be predicted and controlled in the method of cluster analysis.

On the other hand, as described above, the controller unit 120 can continuously determine a dangerous situation (harmful environment situation) using the measured values of harmful factors and environmental factors 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 in the range of 51-200 ppm, a secondary caution state in the range of 201-400 ppm, a dangerous state in the range of 401 ppm or more, In the case of carbon dioxide (CO2), a dangerous situation can be judged as a warning state in the range of 1001-2000 ppm, and a dangerous state in the range of 2000 ppm or more.

In addition, in the controller unit 120, in the case of fine dust (PM10) and ultrafine dust (PM2.5), the measured value of fine dust (PM10) is in the range of 101-150 μg / ㎥ or ultrafine dust (PM2.5) measurement Caution when the value is in the range of 51-75 μg/㎥, dangerous when the measured value of fine dust (PM10) is in the range of 151 μg/㎥ or more or the measured value of ultrafine dust (PM2.5) is in the range of 76 μg/㎥ or more Dangerous situations can be judged based on the condition.

And, in the controller unit 120, in the case of radon, in the range of 149-300 Bq / m 3, a caution state, in the range of 301 Bq / m 3 or more, it is possible to determine a dangerous situation such as a dangerous state, volatile organic compounds (VOC) In the case of 661-2200 ppm, a dangerous situation can be judged as a cautionary state, and a dangerous state in the range of 2201 ppm or more.

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

The display panel 130 displays the measured values of harmful factors and environmental factors under the control of the controller unit 120. can be displayed.

Here, carbon monoxide (CO) measurement value, carbon dioxide (CO2) measurement value, fine dust (PM10) measurement value, ultrafine dust (PM2.5) measurement value, radon measurement value, volatile organic compound (VOC) measurement value, etc. Environmental factor measurement values such as harmful factor measurement values, temperature measurement values, and humidity measurement values can be displayed in circulation one by one when a separate control key is input.

Of course, the display panel 130 may be provided in a touch screen method so that a control key may be input by touching the panel surface.

As described above, the measured values of harmful factors and environmental factors are displayed under the control of the controller unit 120 according to the measurement time point, or when a separate control key is input, the recently measured measured values of harmful factors and environmental factors are measured. Values can be displayed.

The speaker 140 outputs a guide message as a sound under the control of the controller unit 120, and receives audio output data provided according to a control method from the controller unit 120 and outputs it as a sound.

For example, in case of a caution state, voice data (warning message) corresponding to the caution state may be received from the controller unit 120 and audio output may be performed, and in case of a danger state, a voice corresponding to the danger state may be output from the controller unit 120 A message (warning message) can be provided and audio output.

On the other hand, the controller unit 120, display panel 130 and speaker 140 as described above may be provided in an integrated form of a control device as shown in FIG. 9, and the most convenient place to use in an enclosed space. (For example, it can be installed in the living room, entrance to the front door, 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 can open and close the windows or ventilation windows by being connected to the windows or doors, Through these operations, 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 harmful environmental conditions such as safety, caution, and danger. In accordance with the control signal, the inside air may be ventilated by operating and opening windows or ventilation windows according to a preset number such as a part, one, plural, or all.

The ventilation operating device 150 can open and close a desired ratio or number of windows or ventilation windows by operating windows or ventilation windows connected to a plurality of DC +12V/+24V output ports, respectively. For example, in a caution state, partially (eg, one window 30%, 60%, etc.) is opened, or one ventilation window is opened, and in a dangerous state, all (eg, all windows) are opened. It can be opened, or operated in such a way as to open all of the plurality of ventilation windows.

On the other hand, the ventilation operating device 150 may include an air conditioner, an air purifier, and the like. In response to a warning state, a dangerous state, etc. from the controller unit 120, the air conditioner is operated according to a control method determined by artificial intelligence to blow, clean, etc. The function of can be activated, and the air cleaning function can be activated by operating the air purifier.

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

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

This harmful environment management server 170 may provide registered administrators and users with harmful environment information (or harmful environment control information) for the registered closed space, which is a plurality of communication terminals through a separate harmful environment management application. (180), or a plurality of communication terminals (180) can access the website of the harmful environment management server (170) and be provided in a search method.

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

In addition, the harmful environment management server 170 analyzes the harmful environment information accumulated and stored based on the harmful environment control information, and when it is determined that the dangerous situation is determined according to the measured value or the number of warnings, the manager terminal 181 and the user A warning message may be transmitted to the terminal 182 .

As described above, the harmful environment management server 170 may provide a remote control function, and the manager terminal 181 and the user terminal 182 access the website or access through a harmful environment management application to operate ventilation. When a control command for controlling the device 150 (ie, opening or closing a window or a ventilation window) is transmitted, the control command may be transmitted to the controller unit 120 through the wired/wireless communication network 160 .

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

In these plurality of communication terminals 180, in response to the harmful environment control information transmitted from the controller unit 120, a warning message according to situations such as caution and danger is received and provided as a message function, or through a harmful environment control application. A warning message can be provided along with various data.

On the other hand, the plurality of communication terminals 180 access the website or access through a harmful environment management application and input a control command to control the ventilation operating device 150 (ie, opening or closing a window or a ventilation window) to control this control A command may be transmitted to the harmful environment management server 170 .

The plurality of communication terminals 180 as described above may use a communication terminal selected from among, for example, a smart phone, a tablet PC, a desktop computer, a laptop computer, a map book, and a PDA.

The operator terminal 190 is a terminal connected to the controller unit 120 through a low-power communication method through a wired/wireless communication network 160, and is directly connected to the controller unit 120 by, for example, a BLE (blurtooth low energy) communication method. It can communicate, and can receive and display harmful environment control information (eg, harmful element measurement values, environmental element measurement values, control methods, etc.) transmitted through the controller unit 120 .

For example, it can be used at work sites where harmful gases are expected, such as construction sites, sewage pipes, septic tanks, etc., and portable devices powered by batteries, such as smartphones and PDAs, can be used.

Therefore, in one embodiment of the present invention, sensing 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) The hazardous environmental situation is judged by artificial intelligence according to the measured harmful factor value, and a control method corresponding to the determined harmful environmental situation is determined, and then operation control is performed to eliminate the harmful factor according to the determined control method. Accidents can be prevented in advance, and 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 data accumulated by time and place where harmful factors are measured by artificial intelligence, and by the number of control times of ventilation operating devices, but provided through a plurality of IoT sensors. After determining and controlling the control method through supervised learning through comparison with the standard range measurement value using measured values of hazardous factors, environmental element measurements, and presence or absence of people, dangerous situations through unsupervised learning using accumulated data By analyzing and predicting and providing the user, it is possible to actively eliminate harmful factors that cause dangerous situations and prevent human accidents caused by them in advance.

Next, carbon monoxide (CO), carbon dioxide (CO2), fine dust (PM10), and ultrafine dust (PM2. In order to solve the harmful factor by sensing at least one harmful factor among radon and volatile organic compounds (VOC), the process of judging, deciding, and controlling by artificial intelligence will be described.

10 is a flowchart illustrating a process of controlling a harmful environment based on artificial intelligence interworking with the Internet of Things according to another embodiment of the present invention.

Referring to FIG. 10 , it is possible to measure harmful factors and environmental factors in an enclosed space and the presence or absence of people in an enclosed space using a plurality of IoT sensors 110 (step 1010).

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

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

Here, carbon monoxide (CO) measurement value, carbon dioxide (CO2) measurement value, fine dust (PM10) measurement value, ultrafine dust (PM2.5) measurement value, radon measurement value, volatile organic compound (VOC) measurement value, etc. Environmental factor measurement values such as harmful factor measurement values, temperature measurement values, and humidity measurement values can be displayed in circulation one by one when a separate control key is input.

Of course, the display panel 130 may be provided in a touch screen method so that a control key may be input by touching the panel surface.

Next, the controller unit 120 compares the harmful element measurement value with the reference range measurement value to determine the harmful environment situation by artificial intelligence according to the reference range measurement value and the presence or absence of humans, and controls corresponding to the determined harmful environment situation. A method may be determined (step 1030).

For example, the controller unit 120 receives carbon monoxide (CO) measurement values from the harmful element measurement sensors 111 of the plurality of IoT sensors 110, and the carbon monoxide (CO) measurement value is 50 ppm in the reference range measurement value. In the case of the normal range below, wait for the provision of the next measured value while maintaining the current ventilation state, in the range of 51-200 ppm, the first caution state, in the range of 201-400 ppm, the second caution state, In the case of a range of 401 ppm or more, the harmful environment situation is judged as a dangerous state, etc., and windows or ventilation windows are partially opened (eg, 30% of windows open, 1 ventilation window open, etc.) in the 1st caution state, 2nd Secondary partial opening of windows or ventilation windows in a warning state (eg, 60% of windows open, 2 ventilation windows open, etc.), full opening of windows or ventilation windows depending on dangerous conditions (eg, 100% of windows open, control method such as full ventilation window opening, etc.) can be determined.

In addition, the controller unit 120 receives the measured value of carbon dioxide (CO2) from the harmful element measurement sensor 111 of the plurality of IoT sensors 110, and the measured value of carbon dioxide (CO2) is 1000 ppm or less in the standard range measured value. If it is in the normal range, wait for the provision of the next measured value while maintaining the current ventilation condition. If it is in the range of 1001-2000 ppm, it is a cautionary state, and if it is in the range of 2000 ppm or more, it judges the harmful environment situation as a dangerous state, Control methods such as partial opening of windows or ventilation windows in a caution state and full opening of windows or ventilation windows in a dangerous state can be determined.

In addition, the controller unit 120 receives fine dust (PM10) measurement values and ultrafine dust (PM2.5) measurement values from the harmful element measurement sensors 111 of the plurality of IoT sensors 110, and 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, the current ventilation condition is maintained In one state, wait for the provision of the next measured value, and the measured value of fine dust (PM10) is in the range of 101-150 μg/m3 or the measured value of ultrafine particulate matter (PM2.5) is in the range of 51-75 μg/m3 When the measured value of fine dust (PM10) is in the range of 151 μg/㎥ or more or the measured value of ultrafine dust (PM2.5) is in the range of 76 μg/㎥ or more, the hazardous environment situation is judged as a dangerous state, etc. It is possible to determine the control method such as partial opening of a window or ventilation window or full opening of a window or ventilation window in a dangerous state.

On the other hand, in the controller unit 120, the radon measurement value is provided from the harmful element measurement sensor 111 of the plurality of IoT sensors 110, and the radon measurement value is 148 Bq / ㎥ or less in the standard range measurement value (or 4pC / L Below), wait for the provision of the next measured value in the state of maintaining the current ventilation state, and in the range of 149-300 Bq/㎥, it is in a caution state, and in the range of 301 Bq/㎥ or more, it is in a dangerous state, etc. It is possible to determine a control method such as partially opening a window or ventilation window in a state of caution or fully opening a window or ventilation window according to a dangerous state after determining a hazardous environment situation.

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 IoT sensors 110, and the volatile organic compound (VOC) measurement value is in the standard range measurement value If it is in the normal range of 660 ppm, wait for the next measured value while maintaining the current ventilation condition. It is possible to determine a control method such as partial opening of a window or ventilation window in a caution state or full opening of a window or ventilation window according to a dangerous state.

On the other hand, in this step (1030), the control method is determined by referring to the data accumulated by time and place where harmful factors are measured by artificial intelligence, and by the number of control times of ventilation operating devices, but a decision tree technique is used. Hazardous environmental conditions are determined by time zone and place where harmful factors are measured through supervised learning of machine learning, and the measured values of hazardous factors and environmental factors are measured through unsupervised learning by referring to the cumulative data that determines hazardous environmental conditions. It is possible to determine the harmful environment situation by analyzing the harmful environment pattern according to the

Here, the harmful environment control information, which provides a warning message by analyzing the supervised learning results of machine learning as described above, can be stored and managed as new accumulated data by combining with previous accumulated data, and harmful environment control information can be stored and managed as new accumulated data through unsupervised learning. The control method may be determined by referring to accumulated data for each time zone and place where elements are measured, and for each control count of the ventilation operating device 150 .

For example, the control method can be determined by referring to accumulated data for each time zone and place where harmful elements are measured with artificial intelligence, and for each control number of the ventilation operating device 150. For example, other rooms, other offices, etc.) by analyzing the measured values of harmful factors collected from sensors installed in places where harmful factors occur frequently or occur relatively high (eg, bedroom, study, kitchen, veranda) , Living room, etc.) and time zone (eg, morning, daytime, evening, late night, etc.) data (ie, measured value, status, etc.) can be accumulated and stored.

In addition, the controller unit 120 can accumulate and store the number of times the ventilation operation device 150 has been operated and controlled according to the determined control method, and also controls the harmful environment including the number of warnings of danger to managers, users, workers, etc. The number of transmissions of information can be accumulated and stored.

On the other hand, as described above, the controller unit 120 can continuously determine a dangerous situation (harmful environment situation) using the measured values of harmful factors and environmental factors transmitted from the plurality of IoT sensors 110, In the case of carbon monoxide (CO), the dangerous situation can be judged as the first caution state, the second caution state, and the dangerous state according to each range of 51-200 ppm, 201-400 ppm, and 401 ppm or more. In case of 1001-2000 ppm, depending on each range of 2000 ppm or more, a dangerous situation can be judged as a caution state or a dangerous state.

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

And, in the controller unit 120, in the case of radon, depending on each range of 149-300 Bq / m 3, 301 Bq / m 3 or more, it is possible to determine the dangerous situation as a state of caution, a dangerous state, etc., and in the case of volatile organic compounds (VOC) Depending on each range of 661-2200 ppm, 2201 ppm or more, dangerous situations can be judged as cautionary states and dangerous states.

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

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

For example, if each measurement value is within the normal range, the controller unit 120 waits in a state where no operation control signal is generated, and when a harmful environment situation is determined to be an alert state, the controller unit 120 responds to the alert state. Depending on the control method, an operation control signal is generated to partially open a window or ventilation window, such as 30% window opening, 60% window opening, 1 ventilation window opening, 2 ventilation windows opening, etc. 150) can be provided.

In addition, if the controller unit 120 determines that the harmful environment situation is a dangerous state, for example, according to a control method corresponding to the dangerous state, for the full opening of windows or ventilation windows, such as opening 100% of windows and opening all ventilation windows. An operation control signal may be generated and provided to the ventilation operating device 150 .

At this time, according to the control of the controller unit 120, a guidance screen corresponding to the harmful environment situation can be displayed through the display panel 130, and a guidance message corresponding to the harmful environment situation is output through the speaker 140. Yes (step 1050).

For example, in the case of a caution state, a guide screen (warning message) corresponding to the state of caution may be provided from the controller unit 120 and displayed through the display panel 130, and in the case of a danger state, from the controller unit 120 A guidance screen (warning message) corresponding to a dangerous state may 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 may be received from the controller unit 120 and audio may be output through the speaker 140, and in the case of a danger state, a danger state from the controller unit 120 A voice message (warning message) corresponding to may be provided and output through the speaker 140 .

Here, in the controller unit 120, when each measured value is a value within the normal range, or when it is measured that no person exists inside an enclosed space (ie, home, office, etc.) through the infrared sensor 113 The guide message voice of the speaker 140 may be controlled not to be output.

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

In this step 1060, windows or ventilation windows can be opened or closed according to the operation control signal. % or 60% opening, one or two ventilation windows open, etc.), and in case of danger, the windows or ventilation windows are fully opened according to the operation control signal provided from the controller unit 120 (for example, It can be operated to open 100% of windows, open all ventilation windows, etc.).

In addition, devices such as air conditioners and air purifiers may also activate functions such as blowing, cleaning, and air cleaning according to a state of caution or a dangerous state.

Next, the controller unit 120 may transmit hazardous environment control information including harmful element measurement values, environmental element measurement values, harmful environment conditions, and control methods to the harmful environment management server 170 through the wired/wireless communication network 160. Yes (step 1070).

For example, in the controller unit 120, the harmful environment control including the measured value of the harmful factor, the measured value of the environmental factor, the harmful environment situation, the control method, etc. according to the case of the normal range, the warning state, and the dangerous state. Information may be generated and transmitted to the harmful environment management server 170 through the wired/wireless communication network 160 .

The harmful environment control information may also include the control frequency of the ventilation operating device 150 so that it can be cumulatively managed, and if the harmful environment situation is in a caution or dangerous state, the corresponding place, the corresponding time period, etc. can be cumulatively managed. can

In addition, harmful environment control information may be received from the harmful environment management server 170 and stored and managed (step 1080).

For example, in the harmful environment management server 170, harmful environment control information transmitted from the controller unit 120 through the wired/wireless communication network 160 can be stored (or accumulated and stored) and managed. Harmful environment information (or harmful environment control information) for registered confined spaces can be provided. This information is provided to a plurality of communication terminals 180 through a separate harmful environment management application, or a method of accessing and searching the website of the harmful environment management server 170 in a plurality of communication terminals 180. can be performed

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

In addition, the harmful environment management server 170 analyzes the harmful environment information accumulated and stored based on the harmful environment control information, and when it is determined that the dangerous situation is determined according to the measured value or the number of warnings, the manager terminal 181 and the user A warning message may be transmitted to the terminal 182 .

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

For example, the plurality of communication terminals 180 may receive harmful environment control information through a harmful environment management application or a website of the harmful environment management server 170, and warn according to harmful environment conditions such as caution and danger. It can receive and deliver messages.

Therefore, in another embodiment of the present invention, sensing 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) After determining the control method by artificial intelligence according to the measured harmful element value, and then performing operation control to eliminate the harmful factor according to the determined control method, it is possible to prevent life-threatening accidents in advance, including remote control. A variety of home networking services can be provided.

In addition, in another embodiment of the present invention, the control method is determined by referring to data accumulated by time and place where harmful elements are measured by artificial intelligence, and by the number of control times of ventilation operating devices, but provided through a plurality of IoT sensors. After determining and controlling the control method through supervised learning through comparison with the standard range measurement value using measured values of hazardous factors, environmental element measurements, and presence or absence of people, dangerous situations through unsupervised learning using accumulated data By analyzing and predicting and providing the user, it is possible to actively eliminate harmful factors that cause dangerous situations and prevent human accidents caused by them in advance.

In the above description, various embodiments of the present invention have been presented and described, but the present invention is not necessarily limited thereto. It will be readily apparent that branch substitutions, modifications and alterations are possible.

110: multiple IoT sensors
120: controller unit
130: display panel
140: speaker
150: Ventilation operating device
160: wired/wireless communication network
170: Harmful environment management server
180: multiple communication terminals

Claims (13)

A plurality of IoT sensors for measuring harmful factors and environmental factors in the confined space and the presence or absence of people in the confined space;
It controls to display the measured values of harmful factors and environmental factors provided from the plurality of IoT sensors, compares the measured values of harmful factors with a reference range measurement value, and artificial intelligence according to the reference range measurement value and the presence or absence of a person. After determining the harmful environment situation, determining a control method corresponding to the determined harmful environment situation, selecting and providing an operation control signal for resolving the harmful factor according to the determined control method, and responding to the harmful environment situation A controller unit that selects and controls to output a guide screen and a guide message, and transmits harmful environment control information including the harmful factor measurement value, environmental factor measurement value, harmful environment situation and control method;
a display panel for displaying the measured values of harmful factors and environmental factors and displaying the guide screen under the control of the controller unit; and
a speaker that outputs the guide message as a sound under the control of the controller unit; and
Ventilation operation device operated to eliminate the harmful factor by receiving the operation control signal;
An artificial intelligence-based harmful environment control system that works with the Internet of things, including
The method of claim 1,
The harmful environment control system,
a wired/wireless communication network connected to the controller unit to transmit the harmful environment control information;
a harmful environment management server that receives, stores, and manages the harmful environment control information through the wired/wireless communication network;
A plurality of communication terminals receiving the harmful environment control information through the harmful environment control application provided from the harmful environment management server; and
A worker terminal connected to the controller unit and a low-power communication method through the wired or wireless communication network;
An artificial intelligence-based harmful environment control system that works with the Internet of Things further comprising.
The method of claim 2,
The plurality of communication terminals include a manager terminal and a user terminal registered in the harmful environment control server, and the manager terminal receives a notification message corresponding to the harmful environment situation from the controller unit and interworks with the Internet of Things. Artificial intelligence-based harmful environment control system.
The method according to any one of claims 1 to 3,
The plurality of IoT sensors include 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 interlocking with the Internet of Things including a harmful element measurement sensor for measuring environmental factors, an environmental element measurement sensor for measuring the environmental factors including at least one of temperature and humidity, and an infrared sensor for measuring the presence or absence of the human being. based hazardous environment control system.
The method of claim 4,
The ventilation operating device is an artificial intelligence-based harmful environment control system linked to the Internet of Things that opens and closes a window or a ventilation window according to the operation control signal.
The method of claim 5,
The controller unit determines the control method by referring to the accumulated data for each time zone and place where the harmful factor is measured with the artificial intelligence and for each control number of the ventilation operating device, but a decision tree technique Through supervised learning of machine learning that includes determining the harmful environment situation for each time zone and place where the harmful factor was measured, and referring to the cumulative data for determining the harmful environment situation, the harmful factor measurement value through unsupervised learning. and an artificial intelligence-based harmful environment control system that is interlocked with the Internet of Things (IoT) for determining the harmful environment situation by analyzing the harmful environment pattern according to the measured values of environmental factors.
Measuring harmful factors and environmental factors of the confined space and the presence or absence of people in the confined space by using a plurality of IoT sensors;
The controller unit compares the measured value of harmful elements with the measured value of the standard range, determines the harmful environment situation by artificial intelligence according to the measured value of the standard range and whether or not there is a person, and then determines the control method corresponding to the determined harmful environment situation. doing;
Selecting and providing an operation control signal for eliminating the harmful factor in the controller unit according to the determined control method;
outputting a guide screen and a guide message corresponding to the harmful environmental situation under the control of the controller unit; and
Step of operating to eliminate the harmful factor in the ventilation operating device according to the operation control signal;
An artificial intelligence-based harmful environment control method linked with the Internet of Things, including a.
The method of claim 7,
The harmful environment control method,
displaying the measured values of harmful factors and environmental factors through a display panel when the measured values of harmful factors and environmental factors are provided to the controller unit;
An artificial intelligence-based harmful environment control method linked with the Internet of Things further comprising.
The method of claim 8,
The harmful environment control method,
Transmitting harmful environment control information including the harmful factor measurement value, environmental factor measurement value, harmful environment situation and control method; and
Receiving, storing and managing the harmful environment control information in a harmful environment management server;
An artificial intelligence-based harmful environment control method linked with the Internet of Things further comprising.
The method of claim 9,
The harmful environment control method,
Receiving and providing the harmful environment control information transmitted from the harmful environment control server through a harmful 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 in a manager terminal included in the plurality of communication terminals.
The method according to any one of claims 7 to 10,
The step of measuring and providing the existence of a person is carbon monoxide (CO), carbon dioxide (CO2), fine dust (PM10), ultrafine dust (PM2.5), radon and volatile organic compounds (VOC) through a harmful element measurement sensor ), measuring the environmental factors including at least one of temperature and humidity through an environmental element measurement sensor, and measuring the presence or absence of the human through an infrared sensor. Artificial intelligence-based harmful environment control method linked with
The method of claim 11,
In the step of determining the control method, the control method is determined by referring to data accumulated by time and place where the harmful factor is measured by the artificial intelligence and by number of control times of the ventilation operating device, but the decision tree ( Through supervised learning of machine learning including a decision tree technique, the harmful environment situation is determined for each time zone and place where the harmful factors are measured, and the harmful environment situation is determined through unsupervised learning by referring to the cumulative data that determines the harmful environment situation. An artificial intelligence-based harmful environment control method that interworks with the Internet of Things to determine the harmful environment situation by analyzing the harmful environment pattern according to the measured values of harmful factors and environmental factors.
The method of claim 12,
The step of operating to eliminate the harmful elements is an artificial intelligence-based harmful environment control method linked to the Internet of Things for opening and closing windows or ventilation windows according to the operation control signal.

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