KR20220135765A - Method and device for providing indoor air quality control service - Google Patents

Abstract

The present invention relates to a technology for providing a service, which can integrally control indoor air quality, a target to be managed, by analyzing collected indoor air quality data to diagnose indoor air quality and enabling a user to easily check information according to indoor air quality analysis and diagnosis. According to one aspect of the present invention, an apparatus for providing an indoor air quality control service, which performs a method for providing the indoor air quality control service, may include: a data collection unit which collects data for diagnosing indoor air quality; an air quality analysis unit which analyzes the collected data by using an air quality analysis algorithm; and a service providing unit which provides the indoor air quality control service to the user based on a data analysis result of the air quality analysis algorithm.

Description

Device and method for providing indoor air quality control service

The present invention relates to an apparatus and method for providing an indoor air quality control service, and more particularly, to analyze collected indoor air quality data to diagnose indoor air quality, and to allow a user to easily check information according to indoor air quality analysis and diagnosis. By doing so, it relates to a technology that provides a service that can control the indoor air quality to be managed.

Recently, in Korea, the average fine dust concentration is increasing for various reasons, and in some seasons, the air quality is greatly reduced due to yellow dust. Here, since the limited indoor space is placed in an environment that is isolated from the outside air, a system must be provided to control the air quality at all times to appropriately respond. For example, if a ventilation system for air quality management malfunctions in a specific area or toxic gas is spread through smoking in a non-smoking area, it may affect not only the area but also other areas communicating with each other. It may cause problems with devices or materials sensitive to unusual atmospheric components, or adversely affect personnel located indoors.

On the other hand, indoor air quality managers want to closely manage the indoor space to be managed, but if there are multiple areas to manage air quality or if they are distributed in remote areas far away from each other, it is difficult to integrate and manage each area. It may be difficult to directly analyze the parts related to the identification of the cause of the abnormality and how to respond. Accordingly, a method that helps the user (administrator) easily control the air quality of a space to be managed and maintain the air quality at a high level may be required.

Korean Patent Publication No. 10-2021-0026780

The present invention is devised to solve the above problems, and by collecting data for diagnosing indoor air quality and analyzing the collected data using an air quality analysis algorithm, various information related to changes in indoor air quality and factors of air quality change are provided. An object of the present invention is to provide an indoor air quality control service providing apparatus and method that can easily control the indoor air quality, which is a management target.

According to an aspect of the present invention, a method for providing an indoor air quality control service includes collecting data for diagnosing indoor air quality; analyzing the collected data using an air quality analysis algorithm; and providing an indoor air quality control service to the user based on the data analysis result of the air quality analysis algorithm.

In an embodiment, the collecting of the data may include collecting the data from an air quality measuring device installed in a space to measure air quality.

In one embodiment, the providing of the indoor air quality control service includes: outputting a warning alarm through the air quality measuring device when an air quality abnormality is determined as a result of air quality analysis for a space in which the air quality measuring device is installed; can do.

In an embodiment, the providing of the indoor air quality control service may include providing at least one of real-time air quality analysis information and reporting type air quality analysis information to the user.

In an embodiment, the providing of the real-time air quality analysis information includes: providing a numerical value for each air quality-related indicator and a result of determining whether the air quality is abnormal through a real-time API method; and providing an integrated control interface capable of integrally controlling the air quality of one or more of the spaces to the user terminal.

In one embodiment, the step of providing the integrated control interface includes: the number of controlled spaces, the number of spaces in which air quality abnormalities are detected, the time at which air quality abnormalities are detected for each space, the types of air quality abnormalities detected for each space, each It may include; providing at least one information among the frequency of the detected air quality abnormality type for each space through the integrated control interface.

In an embodiment, the providing of the reporting type air quality analysis information may include providing at least one of real-time, regular, and failure reporting type analysis information on air quality to the user.

In an embodiment, the providing of the real-time reporting type analysis information may include providing real-time analysis information generated according to detection of air quality exceeding a set standard or detection of smoking.

In one embodiment, the step of providing the periodic reporting type analysis information includes: generating an air quality abnormal occurrence history including a cause of the air quality abnormal occurrence; and providing detailed analysis information on air quality abnormalities occurring at regular intervals based on the generated air quality abnormality occurrence history.

In one embodiment, the step of providing the failure reporting type analysis information, when a problem occurs in the indoor air quality control service providing system, providing detailed analysis information on the system problem that has occurred; may include.

In an embodiment, the analyzing of the collected data using the air quality analysis algorithm may include generating a model for classifying air quality abnormal types based on a machine learning result for the collected data. have.

In an embodiment, the generating of the model may include: generating a smoking detection model capable of detecting indoor smoking; and generating a smoking type classification model capable of classifying smoking types.

According to another aspect of the present invention, an apparatus for providing an indoor air quality control service includes: a data collecting unit for collecting data for diagnosing indoor air quality; an air quality analysis unit that analyzes the collected data using an air quality analysis algorithm; and a service provider providing an indoor air quality control service to a user based on the data analysis result of the air quality analysis algorithm.

The apparatus and method for providing an indoor air quality control service according to the present invention provide the user with information on managing the occurrence of air quality abnormalities for each indoor space subject to management on a regular basis, so that the user can easily identify the characteristics of each period for each management area It has the effect that

The indoor air quality control service providing apparatus and method according to the present invention provides the user with information on managing the relevant details when a problem occurs in the service provision process including abnormal operation of an air quality measuring device or server, so that air quality management is possible It has the effect of making it stable.

The indoor air quality control service providing apparatus and method according to the present invention can classify the types of air quality abnormalities in detail through indoor air quality analysis through machine learning. have.

1 is a reference diagram for explaining an indoor air quality control service providing system according to the present invention.
2 is a block diagram showing the configuration of an indoor air quality control service providing apparatus according to the present invention.
3 is a flowchart illustrating a process of diagnosing indoor air quality according to an embodiment of the present invention.
4 is a flowchart illustrating a method for providing an indoor air quality control service according to the present invention.

Since the present invention can apply various transformations and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention. In describing the present invention, if it is determined that a detailed description of a related known technology may obscure the gist of the present invention, the detailed description thereof will be omitted.

Terms such as first, second, etc. may be used to describe various elements, but the elements should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another.

In addition, the term "...unit" described in the specification means a unit for processing one or more functions or operations, which may be implemented as hardware or software or a combination of hardware and software.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present application, terms such as “comprise” or “have” are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but one or more other features It is to be understood that this does not preclude the possibility of the presence or addition of numbers, steps, operations, components, parts, or combinations thereof. Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a reference diagram for explaining an indoor air quality control service providing system (hereinafter, service providing system) according to the present invention.

Referring to FIG. 1 , the service providing system may include an indoor air quality control service providing apparatus 100 (hereinafter, a service providing apparatus), an air quality measuring device 10 , and a user terminal 20 . Here, the service providing apparatus 100 may be connected to the air quality measuring device 10 and the user terminal 20 through a network.

The service providing device 100 corresponds to a computing device managed by a service company that provides an indoor air quality control service, and may be implemented as a server. Here, the service providing apparatus 100 is connected to the air quality measuring device 10 and the user terminal 20 through a network, and the connected air quality measuring device 10-1, 10-2, 10-3...) By analyzing air quality data collected from control service can be provided. Here, the user terminal 10 is a computing device carried, managed, or operated by a user.

In addition, the user terminal 20 according to the present invention includes a display device, and is a computing device used as a means for providing an air quality control service to a user, for example, an electronic device such as a smart phone, a tablet PC, and a desktop PC. It may be a device. However, this example is not intended to limit the scope of the present invention, and any computing device capable of providing visual information to a user through a display device should be interpreted as the user terminal 20 according to the present invention.

2 is a block diagram showing the configuration of the service providing apparatus 100 according to the present invention.

Referring to FIG. 2 , the service providing apparatus 100 according to the present invention may include a data collecting unit 110 , an air quality analyzing unit 120 , and a service providing unit 130 .

The data collection unit 110 may collect data for diagnosing indoor air quality.

In one embodiment, the data collection unit 110 may collect the data from the air quality measurement device 10 installed in a space to measure the air quality. Here, the data collected from the air quality measuring device 10 may include at least one of a fine dust concentration, a carbon dioxide concentration, and a volatile organic compound concentration. In addition, the air quality measuring device 10 may be configured to include an air quality sensor (Air Quality Sensor, AQS). The air quality sensor is a sensor that measures the level of harmful substances such as ECO2, TVOC, PM10, and PM2.5 contained in the air, and the air quality related data collected from the air quality measuring device 10 is It can be used for machine learning of air quality, or used to analyze air quality data.

The air quality analyzer 120 may analyze the collected data using an air quality analysis algorithm. Here, the air quality analysis algorithm may include an air quality data analysis process using machine learning.

In an embodiment, the air quality analyzer 120 is configured to determine whether the value of ECO2 measured by the air quality measuring device 10 is equal to or greater than the first reference value and the value of TVOC is equal to or greater than the second reference value, or the value of PM10 is equal to or greater than the third reference value. and PM2.5 is greater than or equal to the fourth reference value, it can be diagnosed as poor air quality. That is, when the measured value measured by the air quality measuring device 10 exceeds a predetermined threshold value, the air quality analyzer 120 may determine that the air quality is not due to simply smoking but poor air quality. Specifically, for example, the first reference value may be 1000 μg/m3, the second reference value may be 1300 μg/m3, the third reference value may be 80 μg/m3, and the fourth reference value may be 35 μg/m3. 80μg/m3, an example of the third reference value of PM10, and 35μg/m3, an example of the fourth reference value of PM2.5, are examples of values selected according to the air quality standards designated by the Korea Meteorological Administration. On the other hand, in the case of ECO2 and TVOC, the grades are not separately determined according to the Korea Meteorological Administration or the international standard, so when PM10 and PM2.5 in the air quality observation values collected through the experiment are at the poor air quality level, Examples of the first reference value of ECO2 and the second reference value of TVOC were determined based on the values calculated by averaging. These first to fourth reference values are not limited to the values given as examples, and the first to fourth reference values may be changed and set according to the needs of the user.

The air quality analysis unit 120 determines that the value of ECO2 measured through the air quality measuring device 10 is greater than or equal to the fifth reference value, the value of TVOC is greater than or equal to the sixth reference value, the value of PM10 is greater than or equal to the seventh reference value, and the value of PM2.5 is When the eighth reference value or more is confirmed as the first set number of times within the first set time, an abnormal situation may be diagnosed. Here, the abnormal situation may mean a situation in which the concentration of indoor harmful substances is very high due to a fire or the like. Specifically, for example, the fifth reference value may be 3500 μg/m3, the sixth reference value may be 4000 μg/m3, the seventh reference value may be 1700 μg/m3, and the eighth reference value may be 1700 μg/m3. Examples of the fifth to eighth reference values are set as examples of experimental measurement values in an abnormal situation to the extent that a carbon dioxide alarm is actually sounded. These fifth to eighth reference values are not limited to exemplary values, and the fifth to eighth reference values may be changed and set according to a user's request. In this case, the fifth reference value is a value greater than the first reference value, the sixth reference value is a value greater than the second reference value, the seventh reference value is a value greater than the third reference value, and the eighth reference value is a value greater than the fourth reference value. . Here, the first setting time or the first setting number may be set to an appropriate value in order to determine an abnormal situation, and may be changed and set by the user as necessary. For example, the first setting time may be 2 minutes, and the first setting number may be 3 times.

In an embodiment, the air quality analyzer 120 may include a model generator 121 that generates a model for classifying an air quality abnormality type based on a machine learning result for the collected data.

In an embodiment, the model generator 121 includes the detection model generator 121 includes a decision tree, a random forest, Extreme Gradient Boosting (XGBOOST), and a Support Vector Machine (SVM). A smoking detection model or a smoking type classification model may be generated using one or more learning models selected from among the learning models.

In an embodiment, the model generator 121 may generate a smoking detection model capable of detecting indoor smoking and a smoking type classification model capable of classifying a smoking type. Specifically, the model generator 121 can detect indoor smoking by learning smoking data, which is air quality data when smoking occurs indoors, and non-smoking data, which is air quality data when smoking does not occur indoors. Smoking type classification that can classify smoking types by creating a smoking detection model or learning tobacco-type data, which is air quality data when tobacco smoking occurs indoors, and cigarette-type data, which is air quality data when e-cigarette smoking occurs You can create a model.

In an embodiment, the model generator 121 selects an optimal parameter in one or more methods of a grid search and cross validation in a hyper parameter applied to the learning model. can be selected

In an embodiment, the air quality analyzer 120 may determine that a smoker is present in the room when smoking is detected a second set number of times within a second set time by the smoking detection model. For example, the air quality analyzer 120 may detect whether or not smoking is based on the smoking detection model. If smoking is detected three or more times within 2 minutes, it may be determined that a smoker exists in the room. Here, the second set time or the second set number may be set to an appropriate value in order to determine that a smoker exists in the room, and may be changed and set by the user as necessary.

In an embodiment, when it is determined that a smoker is present in the room, the air quality analyzer 120 may not detect smoking for a third set time from the first smoke detection time after the second set number of smoking is detected. For example, when it is determined that a smoker is present in the room by detecting smoking three or more times within 2 minutes, smoking may not be detected for 6 minutes from the first smoking detection time. The reason that smoking is not detected for a predetermined period of time is to prevent duplicate detection of smoking for a single smoking act. In the above example, the third set time is set to 6 minutes, which is set in consideration of the average smoking time of 4 minutes and the normal air quality recovery time of 2 minutes. However, the third set time is not limited thereto, and may be set to an appropriate value or may be changed and set by the user as needed.

In an embodiment, the air quality analyzer 120 diagnoses the final smoking type based on the smoking type classified through the smoking type classification model, but a smoking type indicating the higher number of the number of tobacco classifications and the number of electronic cigarette classifications. can be diagnosed as the last smoking type.

3 is a flowchart illustrating a process of diagnosing indoor air quality according to an embodiment of the present invention.

Referring to FIG. 3 , when the air quality analyzer 120 collects the air quality data measured by the air quality measuring device 10 , first, the value of ECO2 is greater than or equal to the fifth reference value (W1), and the value of TVOC is the sixth reference value (Z1). ), it is determined whether the value of PM10 is equal to or greater than the seventh reference value (X1) and the value of PM2.5 is equal to or greater than the eighth reference value (Y1) within the first set time within the first set time (S301). And if it is the first set number of times within the first set time, it is diagnosed as an abnormal situation (S302).

If it is not diagnosed as an abnormal situation, the air quality data goes through a smoking detection model (S303). As a result, when the occurrence of smoking is detected (S504), the coefficient is increased by 1 (S305), and when the coefficient is 3 or more (S306), the air quality data is entered into the smoking type classification model (S307). Accordingly, the smoking type may be classified as a tobacco cigarette or an electronic cigarette (S308).

In the case where the occurrence of smoking in step S304 is not detected, the air quality data indicates that the value of ECO2 is greater than or equal to the first reference value W2 and the value of TVOC is greater than or equal to the second reference value Z2, or the value of PM10 is greater than or equal to the third reference value It is determined whether the value of PM2.5 is equal to or greater than (X2) and greater than or equal to a fourth reference value (Y2) (S309). In addition, when the first and second reference values or greater or the third and fourth reference values are greater, it is determined that the air quality is bad ( S310 ), otherwise, the air quality diagnosis process may be terminated.

The service providing unit 130 may provide an indoor air quality control service to the user based on the data analysis result of the air quality analysis algorithm. For example, the service providing unit 130 may provide the user terminal 20 with diagnostic information according to the data analysis result of the air quality analysis algorithm and air quality related measurement values collected from the air quality measuring device 10 .

In an embodiment, the service providing unit 130 may output a warning alarm through the air quality measuring device 10 when the air quality abnormality is determined as a result of analyzing the air quality for the space in which the air quality measuring device 10 is installed. For example, when the air quality analyzer 120 determines that there is a smoker in the room, the service provider 130 sends a warning alarm including a voice guide for stopping smoking to the indoor smoker to the air quality measuring device 10 . can be output through Here, the warning alarm may be configured differently according to the air quality diagnosis result of the air quality analyzer 120 . For example, when a poor air quality condition is diagnosed as a result of the air quality diagnosis by the air quality analyzer 120 , the service providing unit 130 may cause the lamp of the air quality measuring device 10 to light in red. In addition, when an abnormal condition is diagnosed as a result of air quality diagnosis by the air quality analyzer 120 , a warning alarm including a warning sound exceeding a predetermined decibel may be output through the air quality measuring device 10 .

In an embodiment, the service providing unit 130 may provide at least one of real-time air quality analysis information and reporting type air quality analysis information to the user. Here, the real-time air quality analysis information includes real-time measurement values included in the air quality data collected by the air quality measurement device 10, and the air quality condition information diagnosed by the air quality analysis unit 120 based on the real-time measurement value. may include

In an embodiment, the service providing unit 130 may provide a numerical value for each air quality-related indicator and a result of determining whether the air quality is abnormal through a real-time API method. Here, the real-time API method is a real-time air quality measurement value of a management target area except for a control interface for integrating and providing the reporting type air quality analysis information and detailed analysis information among users receiving the indoor air quality control service according to the present invention; A user who needs only an air quality diagnosis result based on real-time measurement values and a notification according to the diagnosis result can use it to receive a service.

In an embodiment, the service providing unit 130 may provide a user terminal with an integrated control interface capable of controlling the air quality of one or more of the spaces in an integrated manner. Here, the integrated control interface may be implemented for the purpose of providing intuitive information to the user by visually classifying various air quality-related information. Specifically, for example, the service providing unit 130 determines the number of controlled spaces, the number of spaces in which air quality abnormalities are detected, the time for which air quality abnormalities are detected for each space, and types of air quality abnormalities detected for each space (smoking, fine Information on at least one of dust and types according to hazardous substances) and the frequency of air quality abnormality types detected for each space may be provided through the integrated control interface.

In an embodiment, the service providing unit 130 may provide at least one of real-time, regular, and failure reporting type analysis information on air quality to the user. The reporting-type air quality analysis information may include the real-time, periodic, and failure reporting-type analysis information, and the real-time, periodic, and failure reporting-type analysis information may include different analysis information depending on the purpose. Specifically, for example, the service providing unit 130 provides real-time reporting analysis information on air quality to the user, real-time analysis information including a measurement value related to detection of an air quality abnormality exceeding a set standard or detection of smoking can be provided to users. In addition, in order to provide the user with periodic reporting type analysis information on air quality, the service providing unit 130 may generate a history of occurrence of air quality abnormality including the cause of the occurrence of air quality abnormality, and the generated air quality abnormal occurrence history Based on this, detailed analysis information on air quality abnormalities occurring at regular intervals may be provided to the user. The regular reporting type analysis information may be provided to the user through the above-described integrated control interface, and may also be provided through an information delivery means including a registered user's e-mail or messenger.

In an embodiment, the detailed analysis information on the air quality abnormality occurring for each predetermined period includes the number of average air quality abnormal occurrences for each set period, the number of times for each air quality abnormal type detected for each set period, and the occurrence of air quality abnormality for each set period. It may include at least one of time and space that are maximum. Here, the user can easily change the set cycle through the integrated control interface, and the user receives detailed analysis information for each day, week, or month according to the setting, so that the trend and trends can be identified.

In one embodiment, the service providing unit 130 provides a user with failure reporting type analysis information on air quality, when a problem occurs in the indoor air quality control service providing system, detailed analysis information on the generated system problem can be provided to users. The detailed analysis information on the system problem provided to the user enables the user to check the system problem immediately when a system problem including a mechanical problem such as the air quality measurement device 10 occurs, and through this, It is possible to prevent system problems that may occur in the future and reduce costs that may occur significantly in the future. In addition, the failure reporting type analysis information may be provided to the user through an integrated control interface like the regular reporting type analysis information, and may also be provided through information delivery means including a registered user's email or messenger.

4 is a flowchart illustrating a method for providing an indoor air quality control service according to the present invention.

Referring to FIG. 4 , first, data for diagnosing the indoor air quality to be managed may be collected ( S401 ). Here, the data means data including air quality-related information, and may be collected from an air quality measuring device installed in an indoor space to be managed.

Next, the collected data is analyzed using an air quality analysis algorithm (S402). Here, the air quality analysis algorithm may include an air quality analysis method using machine learning, and a model for classifying air quality abnormal types may be generated based on machine learning.

Next, an indoor air quality control service may be provided to the user based on the data analysis result of the air quality analysis algorithm (S403). Here, the indoor air quality control service may be easily provided to a user through an integrated control interface provided to a user terminal, and detailed analysis information for each indoor space to be managed may be provided through the integrated control interface. .

The above-described indoor air quality control service providing method has been described with reference to the flowchart presented in the drawings. For simplicity, the method has been shown and described as a series of blocks, but the invention is not limited to the order of the blocks, and some blocks may occur with other blocks in a different order or at the same time as shown and described herein. Also, various other branches, flow paths, and orders of blocks may be implemented that achieve the same or similar result. Also, not all illustrated blocks may be required for implementation of the methods described herein.

Although the above has been described with reference to preferred embodiments of the present invention, those skilled in the art can variously modify and change the present invention within the scope without departing from the spirit and scope of the present invention as set forth in the claims below. You will understand that it can be done.

10: Air quality measurement device
20: user terminal
100: indoor air quality control service providing device
110: data collection unit
120: air quality analysis unit
121: classification model generation unit
130: service provider

Claims (13)

collecting data for diagnosing indoor air quality;
analyzing the collected data using an air quality analysis algorithm; and
Providing an indoor air quality control service to a user based on the data analysis result of the air quality analysis algorithm;
How to provide indoor air quality control service.
The method of claim 1,
Collecting the data includes:
Collecting the data from an air quality measuring device installed in a space to measure air quality;
How to provide indoor air quality control service.
3. The method of claim 2,
The step of providing the indoor air quality control service,
outputting a warning alarm through the air quality measuring device when an air quality abnormality is determined as a result of air quality analysis for a space in which the air quality measuring device is installed;
How to provide indoor air quality control service.
3. The method of claim 2,
The step of providing the indoor air quality control service,
Providing the user with at least one of real-time air quality analysis information and reporting type air quality analysis information; characterized in that it comprises,
How to provide indoor air quality control service.
5. The method of claim 4,
The step of providing the real-time air quality analysis information,
providing a numerical value for each air quality-related index and a result of determining whether the air quality is abnormal through a real-time API method; and
Providing an integrated control interface that can control the air quality of one or more of the space in an integrated manner to the user terminal; characterized in that it comprises a,
How to provide indoor air quality control service.
6. The method of claim 5,
The step of providing the integrated control interface comprises:
Information on at least one of the number of controlled spaces, the number of spaces where air quality abnormalities are detected, the time when air quality abnormalities are detected for each space, the types of air quality abnormalities detected for each space, and the frequency of the types of air quality abnormalities detected for each space Providing through the integrated control interface; characterized in that it comprises,
How to provide indoor air quality control service.
5. The method of claim 4,
The step of providing the reporting type air quality analysis information,
Providing the user with at least one of real-time, periodic, and failure-reporting analysis information on air quality; characterized in that it comprises,
How to provide indoor air quality control service.
8. The method of claim 7,
The step of providing the real-time reporting type analysis information,
Providing real-time analysis information generated according to the detection of an abnormal air quality exceeding a set standard or detection of smoking;
How to provide indoor air quality control service.
8. The method of claim 7,
The step of providing the regular reporting type analysis information,
generating an air quality abnormality occurrence history including a cause of the air quality abnormality occurrence; and
providing detailed analysis information on air quality abnormalities occurring at regular intervals based on the generated air quality abnormality occurrence history;
How to provide indoor air quality control service.
8. The method of claim 7,
The step of providing the failure reporting type analysis information,
When a problem occurs in the indoor air quality control service providing system, providing detailed analysis information about the system problem that has occurred; characterized in that it includes;
How to provide indoor air quality control service.
According to claim 1,
Analyzing the collected data using the air quality analysis algorithm,
Generating a model for classifying air quality abnormal types based on the machine learning results for the collected data; characterized in that it comprises,
How to provide indoor air quality control service.
12. The method of claim 11,
Creating the model includes:
generating a smoking detection model capable of detecting indoor smoking; and
generating a smoking type classification model capable of classifying smoking types;
How to provide indoor air quality control service.
a data collection unit that collects data for diagnosing indoor air quality;
an air quality analysis unit that analyzes the collected data using an air quality analysis algorithm; and
A service provider that provides an indoor air quality control service to a user based on the data analysis result of the air quality analysis algorithm;
Indoor air quality control service providing device.

Images