KR102360265B1 - Measurement and prediction system for living air environment - Google Patents

Abstract

The present invention relates to a living air environment measurement and prediction system that measures an air environment and displays measurement information and, more specifically, to a living air environment measurement and prediction system which comprises: a plurality of living air environment measurement units including a plurality of measurement sensors for measuring living air environment information which is an air environment of an installation spot; a plurality of living air environment display units individually connected to the plurality of living air environment measurement units; and a central server unit including a data transceiving unit, a public data storage unit, a living air environment information storage unit, a topographic information storage unit, and a living air environment analysis unit. The living air environment measurement and prediction system finds air environment information of a surrounding region and a current location and predicts air environment information, which can be changed according to an influence of wind, to notify a user of the predicted air environment information.

Description

Living air environment measurement and prediction system {MEASUREMENT AND PREDICTION SYSTEM FOR LIVING AIR ENVIRONMENT}

The present invention relates to a living air environment measurement and prediction system that measures the air environment and displays the measurement information, and more particularly, it grasps the living air environment information close to the living area of the neighboring area and the current location in real time, and the influence of wind It relates to a living air environment measurement and prediction system for predicting atmospheric environment information that can be changed according to the user and notifying the user.

Recently, air gas pollution is emerging as a serious problem due to the increase in energy consumption using thermal power generation that is powered by burning fossil fuels, the increase in the amount of incineration such as industrial waste or general household waste, and soot gas from the increase in automobiles. .

The conventional fine dust notification panel (traffic light) device is configured for an unspecified number of people, and it receives and displays the measurement station data of the city air and roadside air closest to the installed location, which is different from the fine dust in the real living area.

As for the outdoor fine dust information received through existing public data (national measuring station), there is a difference between the public data and the actual outdoor fine dust level of the current location of the building, unless there is a measuring station near a building where a fine dust notification device is installed indoors. do. In other words, even when the local fine dust is 'normal' in the public data of the regional national measurement station, it is frequently shown as 'bad' when measuring fine dust outdoors.

As such, the conventional fine dust notification device provides fine dust data that is not closely related to daily life, needs to confirm the forecast through media such as the Internet and mobile apps, and lacks the ability to confirm the forecast with a notification panel composed of difficult-to-understand numbers. It has become difficult for people to understand and respond to.

In addition, when strong winds occur between buildings, the air with a high concentration of fine dust does not stagnate, but in a specific area, as the wind stagnates, the concentration of fine dust continues to stay and the level of fine dust rises. .

However, since the conventional fine dust notification device provides expected fine dust information at the current location based on the measurement information provided by the observatory, it shows the difference in fine dust pollution in the living area between the current location and the neighboring area, or There was a problem that the change in the concentration of fine dust in the living area due to the influence of wind or wind could not be predicted.

Republic of Korea Patent Registration No. 10-1901272 (Registered on September 17, 2018)

The present invention provides a living atmospheric environment measurement and prediction system that can measure the living atmospheric environment at a location close to the real living area and predict and provide a change in the concentration of fine dust according to the influence of wind.

The living air environment measurement and prediction system of the present invention displays the fine dust at the current location and the level of fine dust pollution in the nearby area as an intuitive icon, so that the It provides a living air environment measurement and prediction system that can provide information.

In order to solve the above problems, the living air environment measurement and prediction system of the present invention is installed at a plurality of points in an area sharing public air environment data, respectively, and represents a living air environment of each of the plurality of points. A plurality of living air environment measurement units including a plurality of measurement sensors for measuring information, a plurality of living air environment display units respectively connected to the plurality of living air environment measuring units, and public air environment data are transmitted and received and a plurality of living standbys A data transceiver that is connected to the environment measuring unit and a plurality of living air environment display units through a network and transmits and receives a plurality of living air environment information, a public data storage unit that stores public air environment data received in the data transmit/receive unit, and a data transmit/receive unit A living atmospheric environment information storage unit in which a plurality of living atmospheric environment information received in the It may include a central server unit including an atmospheric environment analysis unit.

In addition, the living atmospheric environment analysis unit of the present invention, using the public data stored in the public data storage unit and a plurality of living atmospheric environment information stored in the living atmospheric environment information storage unit, the living atmospheric environment at the point where a plurality of living atmospheric environment measurement units are installed A living atmospheric environment change prediction unit that predicts changes and an atypical living atmospheric environment prediction unit that predicts atypical living atmospheric environment information at a point where a plurality of living atmospheric environment measurement units are not installed using public data and a plurality of living atmospheric environment information may include

, 여기서, Fa는 인근 지역 측정소에서 측정되는 현재 시점의 미세먼지 또는 초미세먼지 농도 값이고, Fb는 생활 대기환경 측정부에서 측정되는 현재 시점의 미세먼지 또는 초미세먼지 농도 값이며, Fn은 대기 측정소의 일정 시간 이후로 예측되는 미세먼지 또는 초미세먼지 농도 값이 될 수 있다.Furthermore, in the present invention, each of the public data and the plurality of living atmospheric environment information includes fine dust concentration information, ultrafine dust concentration information, wind direction information, and wind speed information, and in the living atmospheric environment change prediction unit, fine dust concentration of public data Using the information, ultra-fine dust concentration information, wind direction and wind speed information to predict the change of fine dust or ultra-fine dust concentration information after a certain time of the living atmospheric environment measurement unit, the first fine dust concentration information of public data, the first By comparing the ultrafine dust concentration information, the first wind direction information and the first wind speed information, and the second fine dust concentration information, the second ultrafine dust concentration information, the second wind direction information, and the second wind speed information of the living air environment information, respectively, , When the first wind direction information and the second wind direction information are the same, and the first wind speed information and the second wind speed information are the same, the change value (X ₁ ) is predicted by the following equation,

, where Fa is the current fine dust or ultrafine dust concentration value measured at a nearby local measuring station, Fb is the current fine dust or ultrafine dust concentration value measured at the living air environment measurement unit, and Fn is the air It may be a value of fine dust or ultra-fine dust concentration predicted after a certain period of time at the measuring station.

, 여기서, Va는 대기 측정소에서 측정되는 현재 시점의 풍속 값이며, Vb는 생활 대기환경 측정부에서 측정되는 현재 시점의 풍속 값이 될 수 있다.In addition, in the present invention, when the first wind direction information and the second wind direction information are the same and the first wind speed information and the second wind speed information are different, the change value (X ₂ ) is predicted by the following formula,

, where Va is a wind speed value at the current point in time measured by the atmospheric measurement station, and Vb may be a wind speed value at the current point in time measured by the living air environment measurement unit.

, 여기서, Va는 대기 측정소에서 측정되는 현재 시점의 풍속 값이며, Vb는 생활 대기환경 측정부에서 측정되는 현재 시점의 풍속 값이 될 수 있다.In addition, in the present invention, when the first wind direction information and the second wind direction information are different and the first wind speed information and the second wind speed information are different, the change value (X ₃ ) is predicted by the following formula,

, where Va is a wind speed value at the current point in time measured by the atmospheric measurement station, and Vb may be a wind speed value at the current point in time measured by the living air environment measurement unit.

Meanwhile, according to the present invention, each of public data and a plurality of living atmospheric environment information includes fine dust concentration information, ultrafine dust concentration information, wind direction information, and wind speed information, and the atypical living atmospheric environment prediction unit connects to the central server unit Calculates an average value of a plurality of third fine dust concentration information or a plurality of third ultrafine dust concentration information among living atmospheric environment information of a plurality of living atmospheric environment measurement units located in the vicinity of the user terminal location, and the average value is used as the second of public data. 4 Compared with the fine dust concentration information or the fourth ultrafine dust concentration information, the average value of the plurality of third fine dust concentrations and the fourth fine dust concentration, or the average value of the plurality of third ultrafine dust concentrations and the fourth ultrafine dust If the concentration is the same, the average value is provided as prediction information of the location of the user terminal, and the average value and the fourth fine dust concentration of the plurality of third fine dust concentrations, or the average value of the plurality of third ultra-fine dust concentrations and the fourth ultra-fine dust concentration is different, the fourth fine dust concentration information or the fourth ultrafine dust concentration information of public data may be divided into a minimum value and a maximum value together with an average value, and may be provided as prediction information of the location of the user terminal.

In addition, in the atypical living atmospheric environment prediction unit of the present invention, a plurality of living atmospheric environment information is classified into a plurality of groups based on the respective topographic information of a plurality of living atmospheric environment information obtained from the geographical information storage unit, and a plurality of Among the groups, a group having geographical information similar to the geographical information of the location of the user terminal is selected, and the average value of the plurality of fifth fine dust concentration information or the plurality of fifth ultra-fine dust concentration information of the selected group is used as the fourth fine particle of public data. It can be divided into a minimum value and a maximum value together with the dust concentration information or the fourth ultrafine dust concentration information and provided as prediction information.

According to the living atmospheric environment measurement and prediction system of the present invention, it is possible to predict and provide a change in the concentration of fine dust according to the influence of wind.

In addition, the living air environment measurement and prediction system of the present invention displays the fine dust at the current location and the level of fine dust pollution in the neighboring area as an intuitive icon to determine which area is the fine dust in the vicinity and how it affects my living area. It has an effect that people of various age groups can easily recognize information about it.

In addition, the present invention has an effect that the user can easily predict what effect the fine dust at the current location will have from the fine dust in the vicinity through the wind direction information through an intuitive screen display.

1 shows a configuration diagram of a living air environment measurement and prediction system according to the present invention.
2 is a diagram illustrating the configuration of a living air environment measurement unit according to an embodiment of the present invention.
3 is a diagram illustrating a configuration of a living air environment display unit according to an embodiment of the present invention.
4 is a diagram illustrating a configuration of a central server unit according to an embodiment of the present invention.
5 is a table of icons indicating the current location of each fine dust step, an intuitive fine dust notification in a nearby area, and the wind direction.
6 is an image showing an example of a screen provided to a living atmospheric environment display unit or a user terminal in the living atmospheric environment measurement and prediction system according to an embodiment of the present invention.
7 is an image showing another example of a screen provided to a living atmospheric environment display unit or a user terminal in the living atmospheric environment measurement and prediction system according to an embodiment of the present invention.
8 illustrates a configuration of a living air environment measurement and prediction system connected to an IoT device according to another embodiment of the present invention.

Advantages and features of the present invention, and a method for achieving them will become apparent 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 will be implemented in various different forms.

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

1 shows a configuration diagram of a living air environment measurement and prediction system according to the present invention.

A living air environment measurement and prediction system according to this embodiment will be described with reference to FIG. 1 .

The living atmospheric environment measurement and prediction system according to an embodiment of the present invention may include a plurality of living atmospheric environment measurement units 100 , a plurality of living atmospheric environment display units 200 , and a central server unit 300 .

The living air environment measurement unit 100 may be respectively installed at a plurality of points in an area sharing public air environment data to measure living air environment information indicating the living air environment of each of the installed points.

For example, the living air environment measurement unit 100 includes a plurality of measurement sensors for measuring air pollution information such as surrounding fine dust or ultrafine dust concentration, wind information such as wind direction or speed, temperature information or humidity information, etc. can do.

The living atmospheric environment measuring unit 100 may be installed indoors or outdoors of a building, or may be installed at a traffic light or a bus stop in the vicinity of the living area to measure the surrounding living atmospheric environment information.

On the other hand, in the case of national measuring stations (regional measuring stations) that measure public air environment data, the height of the sample collection port should be in the range of 1.5 m above the ground and 10 m or less, which is the height at which people live and breathe in principle, according to the installation and operation guidelines of the Ministry of Environment. In case of unavoidable circumstances, the height should be adjusted by selecting a location with as little external influence as possible. The average installation height of these national measuring stations is about 14 m, which is equivalent to the height of a 6-story apartment building.

In addition, the national measuring station for measuring public air environment data is installed for each administrative district of the gu unit (Seoul) or dong unit (Gyeonggi, Incheon, etc.) in the case of large cities, and is installed by the administrative district of the eup unit in the case of a local city, The distance between each measuring station is 3 km to 7 km close, and 20 to 30 km or more as far apart. It has to be extended to a range outside the sphere of influence of the user, and the public air environment data of a national measurement station located at a certain distance from the user's location has to be used. In other words, in the past, it was difficult to obtain information about the air environment closely related to life using only the public air environment data of the national measuring station.

Accordingly, in the living atmospheric environment measurement and prediction system according to an embodiment of the present invention, the height at which the living atmospheric environment measurement unit 100 is installed is set within the living area, and the installation intervals are densely arranged to solve this problem.

For example, the living atmospheric environment measuring unit 100 may be installed within a height range of 1.5 m or more and 5 m or less above the ground. In addition, it can be installed at a height of 5 m or more and 10 m or less as needed, and in some locations, the living air environment measurement unit 100 is installed even at a height of 10 m or more outside the living area in order to obtain data similar to the measurement position of the national measurement station and utilize it. can be installed.

In addition, a plurality of installation intervals are installed at intervals of 100 m or more and 1 km or less in downtown areas, and a plurality of living air environment measurement units 100 may be installed at intervals of 500 m or more and 2 km or less even in non-urban areas. These living atmospheric environment measurement unit 100 may be installed near buildings such as daycare centers, kindergartens, schools, etc., or installed in apartment complexes or signs or electric billboards such as bus stops or subway station entrances, preferably in residential areas or in densely populated companies. It can be installed in a place that can be installed within the daily living area, such as an area.

That is, in the living atmospheric environment measurement and prediction system according to the embodiment of the present invention, since the height at which the living atmospheric environment measurement unit 100 for measurement is installed is placed within the range where a person lives, several locations adjacent to the user By disposing the living air environment measurement unit 100, the user can receive living air environment information closely related to life.

And, as the installation intervals are densely arranged, the actual measurement location is closely located in the living area of users, so that it is possible to provide information about the living air environment that can be felt in the living area.

Here, the living air environment measurement and prediction system of the present invention receives the height information of the place where the device is installed through the unique ID information or location information of the living air environment measurement unit 100, so the living air environment display unit 200 or the user It enables the terminal to automatically acquire information of the living atmospheric environment measuring unit 100 nearby.

At this time, the living atmospheric environment measuring unit 100 may store terrain-related information such as the elevation of the installed point or height information from the device to the ground, the layout or density of surrounding buildings, and GPS location information, and the living atmospheric environment measuring unit The environment-related data measured in 100 may be transmitted to the central server unit 300 through the network together with the device's unique ID and terrain-related information.

The living air environment display unit 200 is connected to the living air environment measurement unit 100 to display the measured environment-related data on the screen or to notify it by sound, etc. It can be installed together or separated and installed separately in different places. The living air environment display unit 200 may be communicatively connected to the living air environment measurement unit 100 , and may also be connected to the central server unit 300 through a network.

Here, the living air environment display unit 200 receives the data measured by the combined living air environment measurement unit 100, or another living air environment measurement unit 100 installed in a nearby area from the central server unit 300. Data measured in , data displayed on the other living air environment display unit 200, or public air environment data of the same area may be received and displayed on the notification panel.

For example, the living air environment display unit 200 may be configured in the form of an electric billboard coupled to the living air environment measurement unit 100 installed at a bus stop or a traffic light, and may display living air environment information on the screen.

Alternatively, the living environment display unit 200 may be a user's terminal (not shown). The living standby environment display unit 200 as a user terminal is communicatively connected to the central server unit 300 , and may receive various information values stored in the central server unit 300 . Here, the user terminal may be a terminal capable of transmitting and receiving various data through a network according to a user's manipulation, and for example, various terminals such as a personal PC, a tablet PC, or a smart phone may be used.

The central server unit 300 may receive, together with the living atmospheric environment data measured by the living atmospheric environment measuring unit 100 , a unique ID, location information, and geographical information of the living atmospheric environment measuring unit 100 . Received data can be collected and processed into a database.

At this time, the central server unit 300 may receive public air environment data provided by a national measuring station in the region, and analyze and monitor a plurality of living air information data received and stored through various measuring units together with public air environment data. can do.

In addition, the central server unit 300 utilizes the unique ID and location information of the living air environment measuring unit 100 to other living air environment measuring units 100, living air environment display units 200 or national measuring stations located in nearby areas. can transmit the environmental data of the measurement unit and the display unit, respectively.

And, the central server unit 300 can register the living air environment data of the living air environment measurement unit 100 and the living air environment display unit 200 as public data, and provide an OpenAPI service so that the user can utilize it. can

That is, a plurality of user terminals may be connected to the central server unit 300 , and the user terminals may utilize public data provided from the central server unit 300 , that is, OpenAPI, and may be different from fine dust around a daycare center or school. A notification service that compares the environmental condition with the school (region) (for parents, students, or staff), life information suitable for children (masks, clothes, preparation for respiratory and allergic diseases, drinking water, measures to cope with indoor activities, etc.) You can receive services such as a notification service that provides

2 is a diagram illustrating the configuration of a living air environment measurement unit according to an embodiment of the present invention.

The configuration and function of the living air environment measuring unit 100 according to the present embodiment will be described with reference to FIG. 2 .

The living air environment measuring unit 100 according to the present embodiment may include a sensor unit 110 , a communication unit 120 , and a control unit 130 .

The sensor unit 110 may include a plurality of environmental measurement sensors and GPS sensors capable of measuring air pollution information of fine dust or ultrafine dust concentration or wind information indicating wind direction and wind speed.

Here, the environmental measurement sensor of the sensor unit 110 may include a fine dust sensor, a wind direction wind speed sensor, a temperature sensor, and a humidity sensor.

The fine dust sensor is installed in the living air environment measurement unit 100 to measure the concentration of fine dust in the vicinity. It may be made of a sensor. In this case, the fine dust sensor may be a sensor capable of measuring air pollution-related concentrations such as ozone, carbon dioxide, carbon monoxide and sulfur dioxide.

The wind direction and wind speed sensor may be installed to be exposed to the outside of the living atmospheric environment measuring unit 100 and measure the wind direction and wind speed according to the influence of the wind. For example, the wind direction wind speed sensor may be formed of a windmill type, a wind distribution type, or an ultrasonic type wind direction anemometer.

The temperature sensor and the humidity sensor are installed in the living air environment measurement unit 100 to measure the ambient temperature and humidity, respectively. Each of the temperature sensor and the humidity sensor may be an infrared sensor.

The GPS sensor may be installed in the living atmospheric environment measuring unit 100 to provide location information of a point where the living atmospheric environment measuring unit 100 is installed to the central server unit 300 through the communication unit 120 .

That is, the sensor unit 110 measures various sensor information values, and transmits them to the central server unit 300 or the living air environment display unit 200 through the communication unit 120 .

In this case, the sensor unit 110 may have different environmental sensors provided according to the geographical location or installation height of the point where the living atmospheric environment measurement unit 100 is installed. For example, in a place where airflow is likely to stagnate or turbulence is high due to the influence of terrain or buildings, an additional sensor capable of measuring irregular wind information may be provided, and the status of each sensor for each measurement unit may be transmitted to the central server unit 300 together with the device's unique ID.

The communication unit 120 communicates with the central server unit 300 through a network, and transmits the data measured by the sensor unit 110 to the central server unit 300 , or measures another measurement unit from the central server unit 300 . It may receive data or public atmospheric data. In this case, the living atmospheric environment measurement unit 100 may be connected to a nearby measurement unit disposed adjacent to each other through short-distance communication capable of directly transmitting and receiving data without using a network, thereby enabling mutual data communication.

The control unit 130 is for smooth control of the sensor unit 110 and the communication unit 120 and may be formed of a control circuit. The control unit 130 includes the unique ID information of the living atmospheric environment measuring unit 100, the altitude of the place where the living atmospheric environment measuring unit 100 is installed, the installation height of the device, the layout or density of surrounding buildings, surrounding topographic information, etc. The same terrain-related information may be stored, and the controller 130 may transmit ID information and terrain-related information to the central server unit 300 through the communication unit 120 .

3 is a diagram illustrating a configuration of a living air environment display unit according to an embodiment of the present invention.

The configuration and function of the living air environment display unit 200 according to the present embodiment will be described with reference to FIG. 3 .

The living air environment display unit 200 is connected to the living air environment measurement unit 100 and the central server unit 300 to receive measurement values or public data information of the living air environment measurement unit 100, and the communication unit 210 ), a display unit 220 and a control unit 230 may be included.

The communication unit 210 may be communicatively connected to the living air environment measurement unit 100 or the central server unit 300 through a network to receive measured living air environment information or public data.

The display unit 220 displays the current location information, such as fine dust and ultrafine dust concentration, wind direction wind speed information, temperature and humidity, etc. included in the living atmospheric environment information or public data received by the communication unit 210 on the screen. can

In this case, the environmental information displayed on the display unit 220 may be displayed as an intuitive icon, for example, a color or character to indicate a numerical step in which the concentration of fine dust and ultrafine dust is set as a specific standard is an image. may be displayed on the screen, and numerical values such as wind direction and wind speed may be displayed together on the screen as an image of a color corresponding to the corresponding stage.

The control unit 230 may control the communication unit 210 and the display unit 220 , and displays information received from the living air environment measurement unit 100 or the central server unit 300 on the display unit 220 .

As such, the living atmospheric environment measurement and prediction system according to an embodiment of the present invention provides a character ( icon) on the display unit 220, and the measurement data of two or more nearby places, such as the living atmospheric environment measuring unit 100 or the national measuring station installed nearby, is displayed on the display unit 220 by changing the color of the location icon along with the current location's fine dust pollution level. ) to provide information on the difference in pollution between the nearby area and the current location.

4 is a diagram illustrating a configuration of a central server unit according to an embodiment of the present invention.

The configuration and function of the central server unit 300 according to the present embodiment will be described with reference to FIG. 4 .

The central server unit 300 according to the present embodiment includes a data transmission/reception unit 310 , a public data storage unit 320 , a living atmospheric environment information storage unit 330 , a topographic information storage unit 340 , and a living atmospheric environment analysis unit (350).

The data transceiver 310 may be connected to the plurality of living air environment measurement units 100 and the plurality of living air environment display units 200 through a network, respectively, and may transmit/receive a plurality of living air environment information. That is, the data transceiver 310 may transmit/receive various sensor information values transmitted from each measuring unit 100 . In addition, the data transceiver 310 may be connected to a server of a national measuring station and a network to transmit and receive public air environment data.

The public data storage unit 320 may store public air environment data received in the data transmission/reception unit 310 .

The living air environment information storage unit 330 may store a plurality of living air environment information received by the data transceiver 310 . In this case, the living air environment information storage unit 330 may store the unique ID and location information of the living air environment measuring unit 100 together.

The topographic information storage unit 340 may store topographic information around the point where the living atmospheric environment measurement unit 100 received by the data transmitting/receiving unit 310 is installed. Here, the topographic information includes specific information that may affect the movement of wind due to a topographical factor such as a tall building or a mountain. The topographic information stored in the topographic information storage unit 340 may be utilized when calculating an atmospheric environment change according to time change or an estimate at an arbitrary location.

The living air environment analysis unit 350 may analyze and process data stored in the living air environment information storage unit 330 . In this case, the living atmospheric environment analysis unit 350 may utilize the data of the public data storage unit 320 and the topographic information storage unit 340 together for analysis and processing.

Here, the living atmospheric environment analysis unit 350 may include a living atmospheric environment change prediction unit 351 and an atypical living atmospheric environment prediction unit 352 .

The living atmospheric environment change prediction unit 351 is a plurality of living atmospheric environment measurement units using public data stored in the public data storage unit 320 and a plurality of living atmospheric environment information stored in the living atmospheric environment information storage unit 330 . (100) It is possible to predict a change in the living atmospheric environment of each point installed.

The atypical living atmospheric environment prediction unit 352 is a living atmospheric environment measurement unit ( 100) can predict the atypical living air environment information of the point where it is not installed.

That is, the living air environment analysis unit 350 may predict living air environment information that changes over time, and may predict living air environment information of a place where the living air environment measuring unit 100 is not installed.

In this way, the central server unit 300 manages the device and related systems so that there is no problem in collecting and analyzing the data, and converts the environmental data of the living air environment measurement unit 100 and the living air environment display unit 200 into public data. You can register and provide an Open API service so that users can utilize it. That is, the user may access the central server unit 300 and utilize the measurement data provided by each measurement unit and the public data provided by the national measurement center, respectively.

Here, according to the living atmospheric environment measurement and prediction system according to the present embodiment, the user can utilize the living atmospheric environment display unit 200 as the user's device, and in addition to a separate user terminal ( not shown) can also be used.

In this way, the user can grasp the living air environment information around the place where the living air environment measurement unit 100 is installed through the living air environment display unit 200 or the user terminal.

At this time, when the living air environment display unit 200 is integrally coupled to the living air environment measurement unit 100 , the user can grasp the living air environment information displayed on the display unit 220 of the living air environment display unit 200 . When a separate mobile device or user terminal is used, the central server unit 300 is accessed through the mobile device or user terminal so that the living air environment information provided by the living air environment measurement unit 100 can be grasped. do.

5 is an icon table showing the current location of fine dust or ultra-fine dust step-by-step, intuitive fine dust information in a nearby area, and wind direction provided by the living atmospheric environment measurement and prediction system according to an embodiment of the present invention.

Referring to FIG. 5 , the grades of fine dust and ultrafine dust are divided into four grades (good, normal, bad, and very bad), and the air quality grade display for the current location and nearby areas is displayed by grade with intuitive characters and icons. It is displayed in color, and the wind direction icon is also expressed in color according to the air quality level of the location.

For example, when fine dust is between 0 and 30 or ultrafine between 0 and 15, a good rating is blue, when fine dust is between 31 and 80 or ultrafine between 16 and 35 The normal grade is green, when the fine dust is between 81 and 150 or the fine particle is between 36 and 75, the bad grade is yellow, and when the fine particle is 151 or more or the ultrafine particle is 76 or more, the very bad grade may be displayed in red. In this case, the fine dust concentration or the ultra-fine dust concentration may be displayed simultaneously or selectively displayed on the screen as needed.

6 is an exemplary diagram illustrating an example of a screen provided to a living air environment display unit or a user terminal in the living air environment measurement and prediction system according to an embodiment of the present invention.

Referring to FIG. 6 , the air quality index of the current location shows a good level of fine dust concentration of 25 μg/m ³ .

In addition, on the screen, the grades for the concentration of fine dust measured in four neighboring areas based on the current location and the wind direction measured in the corresponding area are displayed together with a location icon and a wind direction icon corresponding to the color for each fine dust grade.

Here, the air quality measured in the area near the southwest based on the current location is at a very poor level, the wind direction of the wind blowing from the area near the southwest is the southwest wind (SW), and the air quality measured in the area near the southeast is at a poor level. It can be seen that the wind direction of the wind blowing in the region near the southeast is southeast wind (SSE).

Accordingly, the air quality of the current location is at a good level at the time of measurement, but since it is within the sphere of influence due to the wind influence of the air quality of the southwest area and the air quality of the southeast area, the air quality index of the current location may deteriorate over time. It can be predicted that there is

That is, the living air environment measurement and prediction system according to this embodiment displays living air environment information of the current location while displaying the living air environment information of the nearby area, and the living air environment of the neighboring area through the wind direction information of the nearby area The user can easily predict whether the environmental information can affect the living air environment information of the current location.

As described above, according to an embodiment of the present invention, the character-shaped icon that can be easily understood by the age group lacking the ability to confirm the forecast can intuitively know the level of fine dust pollution by changing the color for each air quality grade, and the current location and nearby By displaying the wind information that can affect the local air quality and the degree of fine dust pollution, that is, the direction or speed of the wind, on the screen as an icon that can be easily understood, it is possible to easily predict the future air quality of the current location.

7 is an image showing another example of a screen provided to a living air environment display unit or a user terminal in the living air environment measurement and prediction system according to an embodiment of the present invention.

Referring to FIG. 7 , the living atmospheric environment measurement and prediction system according to the present embodiment may provide prediction information that may change according to the influence of wind over time.

That is, it is possible to calculate a predicted value over time based on the influence of wind through the living atmospheric environment change prediction unit 351 of the central server unit 300 and provide it as future living atmospheric environment change prediction information.

To this end, the living air environment change prediction unit 351 utilizes public air environment data and fine dust concentration information, ultra-fine dust concentration information, wind direction information, and wind speed information among a plurality of living air environment information, and It is possible to calculate a predicted value to which the fine dust or ultra-fine dust concentration information, ie, air pollution information, after a certain time at the location can be changed.

For example, in the living atmospheric environment measurement and prediction system according to the present embodiment, the living atmospheric environment change prediction unit 351 utilizes fine dust concentration information, wind direction information, and wind speed information of public data to generate air due to time and wind effects. Changes in pollution information (fine dust concentration or ultrafine dust concentration) can be predicted.

In this embodiment, the area in which the measuring unit 100 to be measured is located, that is, the public air environment data shared with the measuring unit 100 is the first fine dust concentration information, the first ultrafine dust concentration information, and the first wind direction. The information and the first wind speed information are included, and the living air environment information of the measuring unit 100 to be measured includes second fine dust concentration information, second ultrafine dust concentration information, second wind direction information, and second wind speed information. can be done by

According to the present embodiment, the living atmospheric environment change prediction unit 351 compares the corresponding information, respectively.

First, when the values of the comparison items appear the same, time-wise prediction information of public data in the corresponding area may be provided to the user as it is.

In this case, the final prediction value may be provided by setting the time-wise prediction information of the public data as a main reference value and correcting the average value of the measurement values of measurement units around the current location with respect to the reference value to the prediction value.

Alternatively, the first fine dust information (or the first ultrafine dust information) and the second fine dust information (or the second ultrafine dust information) are different, the first wind direction information and the second wind direction information are the same, and the first When the wind speed information and the second wind speed information are the same, the change value (X ₁ ) may be calculated by the following equation.

Here, F _a is the fine dust or ultrafine dust concentration value at the current time in the public data, F _b is the measurement value at the current time of the corresponding measurement unit, and F _n is the fine dust predicted after a certain time provided in the public data. Alternatively, it represents the predicted value of ultrafine dust concentration.

Since the influence of wind can be equally applied to both public data values and measured values in the above equation, the rate of change of the predicted value at which the predicted value of the local public data and the measured value in the measurement unit changes may appear similar, and the same It is based on the proportional expression for the rate change.

Next, the first fine dust information (or the first ultrafine dust information) and the second fine dust information (or the second ultrafine dust information) are different, the first wind direction information and the second wind direction information are the same, and the first When the wind speed information and the second wind speed information are different from each other, the change value (X ₂ ) may be calculated by the following equation.

Here, V _a represents wind speed information at the current time of the public data, and V _b represents wind speed information at the current time point of the measurement unit.

Referring to the above formula, if the second wind speed information measured by the measurement unit is lower than the first wind speed information in the public data, the increase in the fine dust concentration at the location of the measurement unit may be corrected to the predicted value because the wind may stagnate. Conversely, when the second wind speed information is high, the predicted value is corrected for the decrease in fine dust concentration as the movement amount increases due to the influence of the wind. That is, a correction value for wind speed information is applied to the rate of change of the predicted value of public data to calculate the predicted value of the fine dust change depending on the wind effect.

Finally, the first fine dust information (or the first ultrafine dust information) and the second fine dust information (or the second ultrafine dust information) are different, the first wind direction information and the second wind direction information are different, and the first wind speed When the information and the second wind speed information are also different, the predicted change value (X ₃ ) in the living atmospheric environment measurement unit 100 is calculated through the following equation.

The above equation indicates that the actual wind flow in the atmosphere and the wind flow in the living sphere are different when the wind direction is changed. It is expected that the effect of ' will appear completely different, so an additional correction value was calculated for this part.

In other words, if the wind direction and wind speed appear different, it is possible to predict that a wind stagnant airflow may occur at the corresponding location of the measurement unit. will do

As described above, in the present embodiment, it is possible to provide living atmospheric environment change prediction information that varies according to the influence of wind by utilizing wind information collected through a plurality of densely arranged living atmospheric environment measurement units 100 .

In this case, the second wind direction information and the second wind speed information of the measuring unit 100 are based on the average wind direction or wind speed for 10 to 30 minutes among previous measurement values of the current time, and the calculated change prediction information value is 30 minutes or It can be provided based on an hour later. In addition, when information predicted according to time in the public air environment data is subdivided, the predicted information value calculated in the present embodiment may also be provided in more subdivided time units.

In particular, according to the living air environment measurement and prediction system according to the present embodiment, air pollution information and wind information measured in the real living area are used to correct the predicted values, so the observation data of the national measuring station far away from the existing living area is measured. It is possible to provide prediction information with much closer accuracy than the prediction information based on it.

In addition, by using wind speed information in addition to wind direction information to correct the predicted value, the accuracy of the predicted value may be further improved.

Here, the living atmospheric environment measurement and prediction system according to the present embodiment predicts a change in the predicted value, that is, the living atmospheric environment change prediction information, from the current fine dust or ultrafine dust concentration grade to a grade that deteriorates. It can be provided to the user as a notification pop-up, warning message, or alarm sound.

As a result, the living air environment measurement and prediction system according to the present embodiment may calculate the predicted value of the living air environment information over time based on the wind influence and inform the user.

Referring back to FIG. 7 , the central server unit 300 of the living atmospheric environment measurement and prediction system according to an embodiment of the present invention may classify the living atmospheric environment into a plurality of groups and predict the living atmospheric environment change of each of the plurality of groups.

To this end, the living atmospheric environment change predicting unit 351 may classify the living atmospheric environment measuring units 100 in which wind direction information of the same or similar value among a plurality of wind direction information is measured into a plurality of groups.

Here, the living atmospheric environment change prediction unit 351 may group the plurality of measurement units 100 by dividing the corresponding values into categories of similar values within a predetermined distance range, preferably the same or similar wind direction. By grouping each excitation measurement part, prediction or estimation by wind influence can be made easy. That is, it is possible to classify the measured values for each group (G1, G2, G3, G4) in which the fine dust concentration is within a similar range while showing a similar wind direction.

In addition, the living atmospheric environment change prediction unit 351 uses the fine dust concentration, ultrafine dust concentration, wind direction information, and wind speed information in each of the plurality of classified groups, and the living atmospheric environment after a predetermined time in each of the plurality of groups change can be predicted.

That is, as described above, prediction information of living atmospheric environment changes due to wind influence is calculated using public data and information provided by each of the measurement units. Areas using the same public data as the measurement unit 100 to be measured Using the average value of the measured values in each group (G1, G2, G3, G4) grouped into a plurality in the When the rate of change of both sides is not the same (range of about 95% to 105%) compared to the rate of change of the predicted value calculated by the measurement unit 100 to be measured, the measurement is based on the rate of change of the predicted value of the group side change An additional correction calculation may be performed to correct the rate of change of the predicted change value of the unit 100 .

After all, the living atmospheric environment measurement and prediction system according to the present embodiment utilizes the possibility of change due to wind information measured for each group in the prediction calculation rather than individually calculating and using each measurement unit 100 for prediction. , it is possible to provide a more accurate prediction value by reducing the error range that can occur in one numerical value through a plurality of average values.

Meanwhile, the living atmospheric environment measurement and prediction system according to the present embodiment may use altitude information of a corresponding point among location information.

To this end, the living atmospheric environment change prediction unit 351 may set the grouped group as a unit of one zone, and may receive altitude information of the installation area of the group from the topographic information storage unit 340 .

In addition, the living atmospheric environment change prediction unit 351 may reflect the altitude information when calculating the predicted change of the fine dust concentration affected by the wind direction and the wind speed.

That is, the living atmospheric environment change prediction unit 351 reflects the altitude information because the actual wind direction and the influence of the wind speed can be changed according to the altitude information of the corresponding area. For example, if the measured value of the current location is affected by the wind blowing from the neighboring measuring unit, if the altitude of the neighboring measuring unit is higher than the current measuring unit's altitude, the wind influence will be stronger than if it is on the same flat ground. Therefore, it can be calculated by varying the weight reflection ratio according to the difference in altitude.

In addition, the living atmospheric environment measurement and prediction system according to the present embodiment may calculate the living atmospheric environment change prediction information by additionally utilizing, in addition to the altitude information, the density of buildings, topographic information, and the like. For example, in an area where high-rise buildings are dense, wind direction and wind speed information can provide a large difference value from that of local public data due to the so-called building wind, so other measurements of the surrounding area taking into account the geographical characteristics of the area It is possible to provide a change prediction value by giving a high weight to the value of the wealth and local public data.

In this way, according to the living atmospheric environment measurement and prediction system according to the present embodiment, when calculating the living atmospheric environment change prediction information, not only the influence of the wind but also the geographical information such as altitude information, which is a geographical requirement, is used for calculation, so that it is more accurate It is possible to provide forecasts.

Referring back to FIG. 7 , the living air environment measurement and prediction system according to the present embodiment may calculate and provide an estimated value at a location where the living air environment measurement unit 100 is not installed.

That is, through the atypical living atmospheric environment prediction unit 352 of the central server unit 300, the predicted value of the atypical living atmospheric environment information of the point where the living atmospheric environment measurement unit 100 is not installed is calculated and provided as estimated information can do.

To this end, the atypical living atmospheric environment prediction unit 352 is a user terminal connected to the central server unit 300 or a plurality of living atmospheric environment measurement unit 100 installed around an arbitrary designated location measurement data and , it is possible to estimate the estimated value of the living air environment information at the location from the public air environment data values provided by the nearby national measuring stations.

For example, in the living atmospheric environment measurement and prediction system according to the present embodiment, the atypical living atmospheric environment prediction unit 352 utilizes fine dust concentration information, wind direction information, and wind speed information of public data to correspond to those in which the measurement unit is not installed. Air pollution information (fine dust concentration or ultrafine dust concentration) of a location can be predicted.

In this embodiment, the living air environment information provided by the measurement units in the vicinity of the location includes third fine dust concentration information, third ultrafine dust concentration information, third wind direction information, and third wind speed information, The public air environment data shared at the location may include fourth fine dust concentration information, fourth ultrafine dust concentration information, fourth wind direction information, and fourth wind speed information.

According to the present embodiment, when calculating the estimated value of the location of the user terminal (represented by a star), the measured values of at least two or more measurement units installed around the location of the user terminal, preferably, the measured values of four or more surrounding measurement units are used This can be used to calculate the estimated value.

In this case, the atypical living atmospheric environment prediction unit 352 calculates an optimal estimated value by applying a wind direction weight and a distance weight to each measurement value.

First, the atypical living atmospheric environment prediction unit 352 may estimate an estimated value by applying a wind direction weight.

Four peripheral measurement units closest to the location of the user terminal are located. At this time, assuming that the wind direction information shown in the public data of the corresponding area provided by the national measuring station and the wind direction information measured by each surrounding measuring unit show a similar direction, and assuming that the corresponding wind direction is the southwest wind (SW), the current location by the wind direction The position that can be influenced is set within the corresponding wind direction azimuth area SW and adjacent areas WSW and SSW, and in other areas, the direct influence by the wind direction may be set to be less.

If the peripheral measurement unit is located within the wind direction azimuth area, a weight value of 70 is applied, if it is located within the proximity area, a weight value of 20 is applied. An estimated value can be calculated from the given average value. The average value for calculating the estimated value to which the wind direction weight is applied may be obtained by adding a value obtained by multiplying each weight to the measured value, and dividing the added value by the sum of the weights to derive an average value, that is, an estimated value.

Accordingly, in the drawing, since the peripheral measurement unit located in the southwest is located within the wind direction azimuth region, it has a weight value of 70, and the remaining three measurement units located in other regions each have a weight value of 10. When the estimated value is calculated, the estimated value of fine dust at the location of the user terminal may be calculated to be about 31 μg/m ³ .

Such a calculation method can be expressed by the following equation.

Here, Z _p is an estimated value to be calculated of the prediction point (user terminal position), Z _i is a reference (measurement) value of the positions (x _i , y _i ) of the surrounding measurement units installed around the prediction point, and W _i is a weight, and n may be the number of reference values.

In the above equation, a wind direction weight may be applied to the weight W _i , and as described above, each reference position may be divided into a wind direction azimuth region, an adjacent region, and an other region and weighted.

In this embodiment, the weight of each measured value is simply determined based on wind direction information and used to calculate the estimated value. However, when calculating the estimated value using the actual measured value, different weights are applied by considering the wind speed information in addition to the wind direction information. can be calculated

In addition, the living atmospheric environment measurement and prediction system according to an embodiment of the present invention may estimate an estimated value using a distance weight.

For this, an inverse distance weighted (IDW) interpolation technique can be used, and the inverse distance weighted interpolation technique is a method of interpolating by giving a larger weight to a nearby measured value. The estimated value of the information can be estimated.

At this time, the atypical living atmospheric environment prediction unit 352 is similar to the method of calculating the estimated value with the above-mentioned wind direction weight, measured data or An estimated value of living air environment information at an arbitrary designated location may be estimated from public data values provided by a nearby national measurement station, and the estimated value may also be calculated through Equation 5 above.

Here, the weight Wi may be calculated as a value inversely proportional to the square of the distance as shown in the following equation.

In this way, the atypical living air environment prediction unit 352 may calculate an average value of two values of an estimated value calculated by applying a distance weight and an estimated value calculated by applying a wind direction weight.

At this time, the atypical living air environment prediction unit 352 according to the present embodiment compares information corresponding to each of the living air environment information and the public air environment data.

First, among the comparison items, if the average value of the plurality of third fine dust concentrations and the fourth fine dust concentration or the average value of the plurality of third ultrafine dust concentrations and the fourth ultrafine dust concentration are the same, the The average value may be provided as prediction information of the location of the user terminal.

On the other hand, if the average value of the plurality of third fine dust concentrations and the fourth fine dust concentration or the average value of the plurality of third ultrafine dust concentrations and the fourth ultrafine dust concentration are different, the average value of the two estimated values calculated above In addition, a lower value of the fourth fine dust concentration information or the fourth ultrafine dust concentration information may be classified as a minimum value and a higher value may be classified as a maximum value, and may be provided as the first expected concentration range of the prediction information of the location of the user terminal.

And, the estimated value calculated by the atypical living atmospheric environment prediction unit 352 is transmitted as public data like the measured value of the living atmospheric environment measurement unit 100 so that it can be used for correction calculation when estimating the atmospheric environment at another location do.

In addition, the atypical living air environment prediction unit 352 may use not only the measured values of the living air environment measuring unit 100 but also local public data values as main reference values for calculation.

And, in the living air environment measurement and prediction system according to the present embodiment, when the user's moving path is predicted, for example, such as in navigation, the living environment to be changed based on the current living air environment information of the point to which the user is to be moved and the arrival time Air environment change prediction information can be provided together.

As such, the living atmospheric environment measurement and prediction system according to the present embodiment provides an estimated value calculated by predicting the atypical living atmospheric environment information at an arbitrary designated location by the atypical living atmospheric environment prediction unit 352. Since the corresponding value is calculated and provided in real time, it is always displayed on the screen or the user can provide the corresponding information upon request.

As a result, according to the living air environment measurement and prediction system according to the present embodiment, it is possible to provide living air environment information even in a place where the living air environment measurement unit 100 is not installed, and a plurality of Since the estimated value calculated through appropriate correction is provided from the measurement value of the surrounding measurement unit, it is possible to provide information about the air environment close to life.

In particular, the living atmospheric environment measurement and prediction system according to this embodiment uses the estimated value to which the wind direction weight is applied based on wind direction information as data. It is possible to provide information on the living air environment.

Therefore, the living air environment measurement and prediction system according to this embodiment is a public sampling port that is not closely related to life because the sample collection port of the existing national measurement station is mainly installed at a height out of the user's living area and is installed at a considerable distance for each administrative district. In contrast to providing data values, measurement values and estimated values are provided using a number of living atmospheric environment measurement units 100 installed in traffic lights or bus stops within the height range of the user's living area, or indoors and outdoors of buildings. It has the advantage of being able to provide more accurate living air environment information for each user's location due to the dense installation interval.

On the other hand, the central server unit 300 of the living atmospheric environment measurement and prediction system according to an embodiment of the present invention classifies into a plurality of groups and utilizes the information of each of the plurality of groups to determine the predicted value at a location where the measurement unit is not installed. can be estimated

To this end, the atypical living air environment predictor 352 may classify living air environment measurers whose wind direction information of the same or similar value is measured among a plurality of wind direction information into a plurality of groups. Here, the atypical living atmospheric environment prediction unit 352 may group the surrounding measurement units in the same way as the grouping process in the above-described living atmospheric environment change prediction unit 351 , and, unlike the above, the geographical information of the corresponding measurement units may be grouped. It can be divided into multiple groups.

That is, the topographic information of the area in which each measurement unit stored in the topographic information storage unit 340 is located is brought, and as shown in FIG. 7 , measurement units having similar topographic information are added to each group (G1, G2, G3, G4). ) can be classified as

The first group (G1) is a topography in which a high-rise building (B) is disposed around the measuring part, the second group (G2) is a topography in which a mountainous area (M) is disposed around the measuring part, and the third group (G3) is the topography in which the small building (S) is disposed around the measurement unit, and the fourth group (G4) represents topographic information of the flat land. Here, the topographic information is generally based on the density of buildings, the layout of buildings, flat land or slopes, etc. in downtown areas, and in areas outside the city center where there are few buildings, classification is based on altitude information such as flat land, basins, or mountainous areas. can

In this case, the atypical living atmospheric environment prediction unit 352 may select a group similar to the topographic information of the location of the user terminal and use the living atmospheric environment information of the group to estimate a predicted value.

In other words, in the present embodiment, the first group G1 having a similar arrangement of the high-rise buildings B may be selected as the comparison target group.

In this way, each average value of the plurality of fifth fine dust concentration information or the plurality of fifth ultrafine dust concentration information provided by each measurement unit of the selected first group G1 is calculated using the above-described calculation formula, or After deriving through average value calculation, the resulting value is compared with the 4th fine dust concentration information or the 4th ultrafine dust concentration information, which is public air environment data, and the low value is divided into the minimum value and the high value is divided into the maximum value. It can be provided as a second expected concentration range of the prediction information of the terminal location.

In this way, the atypical living atmospheric environment prediction unit 352 according to the present embodiment provides an estimated value calculated by predicting the atypical living atmospheric environment information at an arbitrary designated location from each group classified into groups by geographic information. be able to do

After all, according to the living air environment measurement and prediction system according to this embodiment, even in a place where the living air environment measurement unit 100 is not installed, it is possible to estimate and provide living air environment information that has been corrected and calculated on public air environment data information. It is possible to provide an estimated value calculated through appropriate correction from the measured values of a plurality of peripheral measurement units installed adjacent to the living area, thereby providing air environment information close to life.

8 illustrates a configuration of a living air environment measurement and prediction system connected to an IoT device according to another embodiment of the present invention.

Referring to FIG. 8 , the central server unit 300 of the living atmospheric environment measurement and prediction system according to an embodiment of the present invention may include an IoT equipment control unit 360 .

The IoT equipment control unit 360 is connected to the living atmospheric environment measurement unit 100 and can control the IoT devices 400 connected to the living atmospheric environment measurement unit 100 and the network, and sets one or more of these to the living atmospheric environment. It can be controlled according to the information.

For example, the IoT device 400 may be a window opening and closing device 401 installed in the user's house, and the IoT equipment control unit 360 uses the information on the living atmospheric environment provided from the living atmospheric environment measurement unit 100 to fine When the dust concentration or ultrafine dust concentration is above the bad level, the window opening and closing device can be operated to control the window to be closed.

In addition, the IoT device 400 may be an air purifier 402, and the IoT equipment control unit 360 operates the air purifier when the fine dust concentration or ultra-fine dust concentration is higher than the bad level as described above to operate the air purifier in the room. It can be controlled to be purified.

For the control of the IoT device controller 360 , an instruction may be generated according to a direct request of a user, or a control operation may be requested according to an arbitrarily set standard.

As described above, according to the living air environment measurement and prediction system according to the present embodiment, since it can be linked with IoT equipment, the user's fine dust exposure level is identified through the fine dust concentration information, and the electronic You can control devices.

On the other hand, the central server unit 300 of the living atmospheric environment measurement and prediction system according to an embodiment of the present invention includes a malfunction determination unit 353 for determining whether the living atmospheric environment measurement unit 100 is operating normally. can be done by

The failure determination unit 353 may be included in the living air environment information analysis unit 350 , and may determine whether the living air environment measuring unit 100 operates normally by using the living air environment information.

To this end, the failure determination unit 353 checks the living atmospheric environment information provided from the various living atmospheric environment measuring units 1000 in real time, and any value of the living atmospheric environment information is a value measured by the surrounding measuring unit When it appears abnormally high or low compared to

At this time, the failure determination unit 353 compares the change in the measured value of the value that has been continuously measured by the corresponding measuring unit by setting a period such as one day, one week, or one month, and compares the corresponding values with the values of other neighboring measuring units. By comparing the changed average trends together, it is possible to determine whether the corresponding measurement unit is faulty by determining whether the value deviates from the average due to external factors or the value has changed due to a simple device failure.

In this way, the determined failure information is transmitted to the manager who manages the central server unit 300 to perform the equipment repair procedure.

In addition, when a failure occurs, the failure determination unit 353 calculates an estimated value by using the living air environment information measured by various measurement units in the vicinity instead of the living air environment information measured by the corresponding measuring unit, and calculates the calculated estimate. By replacing the value with the living air environment information of the corresponding measurement unit, it is possible to minimize confusion in providing information due to a failure.

As such, since the living atmospheric environment measurement and prediction system according to the present embodiment can determine whether the measurement unit has a failure by itself, it is possible to detect a failure in real time and block the provision of an error value, of the repair work can be ordered smoothly.

The above description is merely illustrative of the technical idea of the present invention, and various modifications and variations will be possible without departing from the essential characteristics of the present invention by those of ordinary skill in the art to which the present invention pertains. Accordingly, the embodiments disclosed in the present invention are for explanation rather than limiting the technical spirit of the present invention, and the scope of the technical spirit of the present invention is not limited by these embodiments.

Therefore, the protection scope of the present invention should be interpreted by the following claims rather than being limited by the above-described embodiments, and all technical ideas within an equivalent range should be interpreted as being included in the scope of the present invention.

100: living air environment measurement unit 200: living air environment display unit
300: central server unit 310: data transceiver unit
320: public data storage unit 330: living air environment information storage unit
340: topographic information storage unit 350: living atmospheric environment analysis unit
360: IoT equipment control unit 400: IoT device unit

Claims (7)

A plurality of living air environment measurement unit including a plurality of measurement sensors installed at a plurality of points in an area sharing public air environment data, respectively, and measuring living air environment information indicating a living air environment of each of the plurality of points ;
a plurality of living air environment display units respectively connected to the plurality of living air environment measuring units; and
A data transceiver for transmitting and receiving the public air environment data and each connected to the plurality of living air environment measurement units and the plurality of living air environment display units through a network to transmit and receive the plurality of living air environment information, and the data transmitting and receiving unit A public data storage unit in which the public air environment data is stored, a living air environment information storage unit in which the plurality of living air environment information received by the data transmission/reception unit is stored, and the plurality of living air environment measurement units around the installed point a central server unit including a topographic information storage unit for storing topographic information and a living atmospheric environment analysis unit for analyzing the plurality of living atmospheric environment information;
The living atmospheric environment analysis unit,
Predicting a change in the living air environment at a point where the plurality of living air environment measurement units are installed using the public air environment data stored in the public data storage unit and the plurality of living air environment information stored in the living air environment information storage unit Living Air Environment Change Prediction Unit; and
An atypical living air environment prediction unit for predicting atypical living air environment information of a point where the plurality of living air environment measurement units are not installed by using the public air environment data and the plurality of living air environment information,
Each of the public air environment data and the plurality of living air environment information includes fine dust concentration information, ultrafine dust concentration information, wind direction information and wind speed information,
In the atypical living atmospheric environment prediction unit,
Calculating an average value of a plurality of third fine dust concentration information or a plurality of third ultrafine dust concentration information among the living atmospheric environment information of the plurality of living atmospheric environment measurement units located in the vicinity of the location of the user terminal connected to the central server unit and comparing the average value with the fourth fine dust concentration information or the fourth ultrafine dust concentration information of the public air environment data,
When the average value of the plurality of third fine dust concentrations and the fourth fine dust concentration, or the average value of the plurality of third ultrafine dust concentrations and the fourth ultrafine dust concentration are the same, the average value is predicted for the location of the user terminal provide information,
When the average value of the plurality of third fine dust concentrations and the fourth fine dust concentration, or the average value of the plurality of third ultrafine dust concentrations and the fourth ultrafine dust concentration are different, the fourth of the public air environment data The fine dust concentration information or the fourth ultrafine dust concentration information is divided into a minimum value and a maximum value together with the average value and provided as prediction information of the location of the user terminal,
In the atypical living atmospheric environment prediction unit,
Classifying the plurality of living atmospheric environment information into a plurality of groups based on the topographic information of each of the plurality of living atmospheric environment information obtained from the topographic information storage unit,
Selecting a group having geographical information similar to the geographical information of the location of the user terminal among the plurality of groups, and calculating an average value of a plurality of fifth fine dust concentration information or a plurality of fifth ultra-fine dust concentration information of the selected group A living air environment measurement and prediction system comprising a; a central server that divides the fourth fine dust concentration information or the fourth ultrafine dust concentration information of public atmospheric environment data into a minimum value and a maximum value and provides the predicted information. delete According to claim 1,
Each of the public air environment data and the plurality of living air environment information includes fine dust concentration information, ultrafine dust concentration information, wind direction information, and wind speed information,
In the living atmospheric environment change prediction unit,
Using the fine dust concentration information, ultra-fine dust concentration information, wind direction and wind speed information of the public air environment data, predicting a change in the fine dust or ultra-fine dust concentration information after a predetermined time of the living atmospheric environment measurement unit,
First fine dust concentration information, first ultrafine dust concentration information, first wind direction information, and first wind speed information of the public air environment data, second fine dust concentration information of the living air environment information, and second ultrafine dust By comparing the concentration information, the second wind direction information and the second wind speed information,
When the first wind direction information and the second wind direction information are the same, and the first wind speed information and the second wind speed information are the same, the change value (X ₁ ) is predicted by the following formula,

,
Here, Fa is the current fine dust or ultrafine dust concentration value measured at a nearby local measuring station, Fb is the current time fine dust or ultrafine dust concentration value measured by the living air environment measurement unit, and Fn is the A living air environment measurement and prediction system that is a value of fine dust or ultrafine dust concentration predicted after a certain period of time provided from public air environment data. 4. The method of claim 3,
When the first wind direction information and the second wind direction information are the same and the first wind speed information and the second wind speed information are different, the change value (X ₂ ) is predicted by the following equation,

,
Here, Va is the current wind speed value provided from the public atmospheric environment data, and Vb is the current wind speed value measured by the living atmospheric environment measuring unit. 4. The method of claim 3,
When the first wind direction information and the second wind direction information are different and the first wind speed information and the second wind speed information are different, the change value (X ₃ ) is predicted by the following equation,

,
Here, Va is the current wind speed value provided from the public atmospheric environment data, and Vb is the current wind speed value measured by the living atmospheric environment measuring unit.
delete delete

Images