KR102247901B1 - Air quality management system - Google Patents

Abstract

The present invention relates to an air quality management system, which comprises: a user terminal installed with an application for requesting a notification service; at least one air quality measuring device installed in a movement path where a user terminal moves to measure the movement path by receiving position information on the user terminal from the user terminal in the case of detecting access to the user terminal within a preset distance, and measuring the air quality of the movement path in real time; a central control module including a bidirectional cloud for receiving a request for the notification service from the user terminal and generating the notification service including the movement path and air quality measurement information on the movement path from the air quality measuring device to provide the same for the user terminal; and a fine dust reducing device for reducing fine dust on the movement path when a control signal is received from the central control module, and transmitting event information on a fine dust reduction status to the central control module. The notification service includes a predicted movement path of the user terminal, air quality prediction information on the predicted movement path, a user countermeasure for fine dust of the movement path or predicted movement path, and a risk assessment result when a user is exposed to the fine dust of the movement path or predicted movement path. Accordingly, the reliability of the notification service can be improved.

Description

Air quality management system

The present invention relates to an air quality management system, and more particularly, to reduce pollutants according to air quality measurement information measured from an environment in which population movement is frequent, and to provide a reliable air quality notification service by being blockchained according to a blockchain algorithm. It relates to an air quality management system that can be provided to people.

With industrialization and urbanization, the concentration of pollutants (or harmful substances) gradually increases due to the increase in the number of means of transportation such as vehicles and frequent movement of the population, resulting in deteriorating air quality.

Air pollutants include fine dust, radon, asbestos, ozone (O ₃ ), carbon monoxide (CO), and carbon dioxide (CO ₂ ).

Among them, fine dust is a floating particle in the air and is divided into fine dust (PM 10) with a particle diameter of 10 μm or less and fine dust (PM 2.5) with a particle diameter of 2.5 μm or less. These fine dusts were found to penetrate the respiratory tract and adversely affect the respiratory tract, increasing the early mortality rate. In addition, fine dust was defined as a first-class carcinogen by the International Agency for Research on Cancer (IARC) in 2013, and ultrafine dust from PM 2.5 enters the brain through olfactory cells as well as respiratory diseases. It was also designated as a first-class carcinogen by the World Health Organization (WHO).

Accordingly, in order to improve air quality, a plan for managing air quality is required, and as a prior art related to the air quality management plan, Korean Patent Application Publication No. 10-2010-0090489 (hereinafter referred to as'prior art 1') and registered in the Republic of Korea Patent Publication No. 10-1912625 (hereinafter referred to as'prior art 2') has been disclosed.

Prior Art 1 collects sensing information on indoor air quality through a wireless sensor node attached to an urban railcar or a structure of an urban railroad station, converts and restores the sensing information, and then converts and restores the sensing information to the inside of the urban railcar or on the basis of the sensing information. The present invention relates to an air quality management system and air quality management method using a wireless sensor network that efficiently manages the air quality of an urban railcar or urban railroad station by monitoring the air quality condition inside an urban railroad station and controlling the air conditioner according to the monitoring result.

Prior art 2 measures air quality with a plurality of air quality measurement devices, and a management server that connects a plurality of air quality measurement devices and user terminals through a network, and receives air quality measurement values at each corresponding point from a plurality of air quality measurement devices. The present invention relates to a multi-point air quality management system that provides air quality information including air quality measurement values for each multi-point in 1 mode to a user terminal.

However, in the prior art, as the process of verifying the reliability of the air quality measured from the sensor node or the measuring device is omitted, it is difficult to secure the reliability of the measured air quality, and thus the reliability of the measured air quality is deteriorated.

In addition, the above prior art cannot provide the risk assessment results such as response measures that the user should respond to according to the concentration of pollutants and the expected lifespan and health risks when the user is exposed from pollutants, so the convenience of the air quality management system is There is a falling problem.

Korean Patent Application Publication No. 10-2010-0090489 (published on August 16, 2010) Republic of Korea Patent Publication No. 10-1912625 (registered on October 23, 2018)

Therefore, the present invention has been devised to solve the above problems, reducing pollutants according to air quality measurement information measured in environments where population movement is frequent, and securing reliability by being blockchained according to a blockchain algorithm. And an air quality management system capable of providing a notification service including a risk assessment result to a user.

However, the technical problems to be achieved in the present invention are not limited to the technical problems mentioned above, and other technical problems that are not mentioned are clearly to those of ordinary skill in the technical field to which the present invention belongs from the following description. It will be understandable.

An air quality management system according to the present invention for achieving the above object includes a user terminal installed with an app for requesting a notification service; When one or more user terminals are installed on the moving path that the user terminal moves and detects that the user terminal approaches within a preset distance, the location information of the user terminal is received from the user terminal to measure the movement path, and the air quality of the movement path is measured in real time. An air quality measuring device; A central control module comprising a two-way cloud for receiving a notification service from a user terminal, generating a notification service including a movement route received from an air quality measuring device and air quality measurement information of the movement route, and providing the notification service to the user terminal; And a fine dust reduction device that reduces fine dust in the moving path when receiving a control signal from the central control module, and transmits event information on the fine dust reduction status to the central control module; including, but the notification service, the user terminal The predicted movement route and air quality prediction information of the predicted movement route, the user's response plan to the fine dust of the movement route or the predicted movement route, and the risk assessment result when the user is exposed from the movement route or the fine dust of the predicted movement route do.

In addition, the central control module receives a request for a notification service from a user terminal or provides a notification service to a user terminal, receives movement path and air quality measurement information of the movement path from an air quality measurement device, and receives event information from a fine dust reduction device. Or a communication unit for transmitting a control signal to the fine dust reduction device; An error correction unit for correcting an error in the air quality measurement information of the movement path; A prediction calculator that predicts one or more paths that the user terminal can move from the movement path as a predicted movement path, and calculates air quality prediction information of the predicted movement path by using the air quality measurement information of the movement path corrected by the error correction unit; A notification service generation unit that generates a notification service by reflecting a movement route, air quality measurement information of the movement route, a predicted movement route, air quality prediction information of the predicted movement route, event information, a response plan, and a risk assessment result; And a storage unit in which a block chain algorithm for verifying and storing the notification service generated from the notification service generation unit is configured.

In addition, the storage unit consists of one or more nodes, and more than half of the nodes according to the blockchain algorithm, the movement route, the air quality measurement information of the movement route, the predicted movement route, the air quality prediction information of the predicted movement route, event information, countermeasures and risk. If it is determined that at least one piece of information among the evaluation results is a true value, at least one piece of information is generated as a block and then converted into a block chain.

In addition, the user terminal receives a block-chained notification service from the storage unit.

In addition, the error correction unit sets one measurement sensor and the other measurement sensor closest to the measurement area as a measurement area, and then corrects the error of the air quality measurement information by calculating the average value of the air quality measurement information measured in the measurement area. do.

In addition, the error correction unit calculates the average value of the air quality measurement information measured from the measurement sensor installed at the first height and the measurement sensor installed at the second height higher or lower than the first height and closest to the measurement sensor installed at the first height. This corrects the error of air quality measurement information.

And the prediction operation unit, the distance difference between the measurement sensor installed in the movement path included in the first grid area and the end point of the prediction movement path included in the second grid area adjacent to the first grid area, and the surrounding terrain information of the prediction movement path. Air quality prediction information of the predicted movement route is calculated by reflecting at least the included environmental factors.

In addition, the central control module further includes a control signal generator for generating a control signal to be transmitted to the fine dust reduction device when receiving the measured movement path from the air quality measuring device through the communication unit.

In addition, the notification service provides the movement route, the predicted movement route, the air quality measurement information, the air quality prediction information and the event information on the map.

In addition, the air quality measuring device is mounted on one side of a delineator or street lamp that is sequentially installed at a predetermined interval in the movement path.

In addition, the fine dust reduction device includes at least one of a means for controlling a moving means moving along a moving path, a means for controlling an area including a moving path, a ventilation means installed on the moving path, and a fine dust control means installed on the moving path. Through this, the fine dust concentration as much as the reduced fine dust concentration included in the control signal is reduced.

In addition, the fine dust reduction device is the first event information generated when the fine dust concentration is reduced by the reduced fine dust concentration included in the control signal or the fine dust concentration is reduced by the reduced fine dust concentration included in the control signal. When this is not completed, the second event information generated is transmitted to the central control module.

According to the present invention, the reliability of the notification service to be provided to the user can be improved by converting information on the notification service into a block chain after verifying the reliability of the notification service before being provided to the user.

In addition, according to the present invention, according to the concentration of fine dust, the response measures that the user should respond to, and the risk assessment results such as the expected lifespan and health risk when the user is exposed from the fine dust are included in the notification service and provided to the user. , Convenience of the air quality management system can be improved.

However, the effects obtainable in the present invention are not limited to the above-mentioned effects, and other effects not mentioned will be clearly understood by those of ordinary skill in the art from the following description. I will be able to.

1 is a conceptual diagram of an air quality management system according to the present invention.
2 is a conceptual diagram showing a method of measuring a movement path of a user terminal and air quality of a movement path by the air quality measuring apparatus according to the present invention.
3 is a block diagram showing the components of the central control module according to the present invention.
4 is a diagram for describing a method in which a prediction operation unit according to the present invention calculates prediction of a predicted movement path and air quality prediction information of the predicted movement path.
5 is a block diagram showing information included in a notification service generated by a notification service generation unit according to the present invention.
6 is a block diagram showing the components of a storage unit according to the present invention.
7 is a conceptual diagram of a block chaining of information included in a notification service by a storage unit according to the present invention.
8 is a flowchart showing a process of a method for managing air quality centered on a notification service according to the first embodiment of the present invention.
9 is a flowchart showing a process of a method for managing air quality centered on a notification service according to a second embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art may easily implement the present invention. However, since the description of the present invention is merely an embodiment for structural or functional description, the scope of the present invention should not be construed as being limited by the embodiments described in the text. That is, since the embodiments can be variously changed and have various forms, the scope of the present invention should be understood to include equivalents capable of realizing the technical idea. In addition, since the object or effect presented in the present invention does not mean that a specific embodiment should include all or only such effects, the scope of the present invention should not be understood as being limited thereto.

The meaning of the terms described in the present invention should be understood as follows.

Terms such as "first" and "second" are used to distinguish one component from other components, and the scope of rights is not limited by these terms. For example, a first component may be referred to as a second component, and similarly, a second component may be referred to as a first component. When a component is referred to as being "connected" to another component, it should be understood that although it may be directly connected to the other component, another component may exist in the middle. On the other hand, when a component is referred to as being "directly connected" to another component, it should be understood that there is no other component in the middle. On the other hand, other expressions describing the relationship between components, that is, "between" and "just between" or "neighboring to" and "directly neighboring to" should be interpreted as well.

Singular expressions are to be understood as including plural expressions unless the context clearly indicates otherwise, and terms such as "comprises" or "have" refer to the specified features, numbers, steps, actions, components, parts, or these. It is to be understood that it is intended to designate that a combination exists and does not preclude the presence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

All terms used herein have the same meaning as commonly understood by one of ordinary skill in the field to which the present invention belongs, unless otherwise defined. Terms defined in commonly used dictionaries should be interpreted as having meanings in the context of related technologies, and cannot be interpreted as having an ideal or excessively formal meaning unless explicitly defined in the present invention.

Air quality management system

Hereinafter, an air quality management system 1 of a preferred embodiment will be described in detail with reference to the accompanying drawings.

1 is a conceptual diagram of an air quality management system according to the present invention, and FIG. 2 is a conceptual diagram showing a method in which an air quality measuring apparatus according to the present invention measures a movement path and air quality of a movement path of a user terminal, and FIG. It is a block diagram showing the constituent elements of the central control module according to the present invention, and FIG. 4 is a diagram for explaining a method in which a prediction operation unit according to the present invention calculates prediction of a predicted movement route and air quality prediction information of the predicted movement route, and FIG. 5 is A block diagram showing information included in the notification service generated by the notification service generation unit according to the present invention, Fig. 6 is a block diagram showing the components of the storage unit according to the present invention, and Fig. 7 is a notification service in the storage unit according to the present invention. It is a conceptual diagram of the block chaining of the information contained in

1 to 7, the air quality management system 1 of a preferred embodiment reduces pollutants according to air quality measurement information measured from an environment where population movement is frequent, and is blockchained according to a block chain algorithm to ensure reliability. It is a system that provides air quality notification service to users.

This air quality management system 1 is configured to include a user terminal 10, an air quality measuring device 20, a central control module 30, and a fine dust reduction device 40.

In the user terminal 10, an app for requesting a notification service is installed in the central control module 30.

Here, the notification service app installed in the user terminal 10 may not only request and provide a notification service, but also transmit a user's question to a server (not shown) that controls the air quality management system 1. In this case, the server (not shown) refers to an object that controls the components of the air quality management system 1 through the central control module 30.

In addition, the user terminal 10 may be a device such as a smartphone or a tablet that the user owns or can be mounted or placed on the moving means 11. That is, the user terminal 10 may be moved along the movement path 340 by the user or the moving means 11.

Here, the means of transportation 11 is at least one of a kickboard capable of driving along a road or sidewalk, an electric kickboard, a bicycle, a vehicle, a truck, a bus, and the like, a subway, a high-speed train, and a ship, a helicopter, an airplane, etc. I can.

The movement path 340 refers to a place where a user can move and a frequent population movement, such as a sidewalk, an underground station, a road, a living space around a building, a bus stop, etc. where the population moves frequently.

The air quality measuring device 20 includes one or more measuring sensors 200 installed in the movement path 340.

Since the movement path 340 may vary according to the location of the user terminal 10, one or more of the air quality measuring devices 20 are preferably installed in a certain area including the movement path 340.

The measurement sensor 200 measures the air quality of the movement path 340 in real time to generate air quality measurement information 341, and detects that the user terminal 10 approaches within a preset distance (eg, 1-10 m). When the user terminal 10 receives the location information of the user terminal 10 from the user terminal 10 by using the GPS function of the user terminal 10, and the movement path of the user terminal 10 by using the location information of the user terminal 10 Measure 340.

Here, the air quality measurement information 341 is the concentration of pollutants measured from the movement path 340, for example, among fine dust concentration, carbon dioxide concentration, carbon monoxide concentration, nitrogen dioxide concentration, total volatile organic compound concentration, asbestos concentration, and ozone concentration. There may be at least one, but hereinafter, the air quality measurement information 341 will be described as an example as the fine dust concentration of the movement path 340.

In addition, the measurement sensor 200 may be mounted on one side of a delineator or street light that is sequentially installed at a predetermined interval on the movement path 340. However, the measurement sensor 200 is not limited to being mounted on a delineator or a street light, and may be mounted on one side of a bus/subway billboard that can be installed on a sidewalk, underground station, etc., and an LED lighting of an underground walkway.

In addition, the measurement sensor 200 transmits the measured movement path 340 and air quality measurement information 341 to the central control module 30.

Furthermore, the measurement sensor 200 may be implemented in various ways to measure the concentration of fine dust in the movement path 340.

For example, the second measurement sensor 200-2 closest to the first measurement sensor 200-1 may measure the concentration of fine dust in a part of the movement path 340 as the first measurement area 20a. 3 The fourth measurement sensor 200-4 closest to the measurement sensor 200-3 can measure the concentration of fine dust in a part of the movement path 340 as the second measurement area 20b, and the fifth measurement sensor ( 200-5) and the sixth measurement sensor (200-6) closest to the third measurement area (20b) can measure the fine dust concentration of a part of the movement path 340, and in the same way, the n-th measurement sensor ( The n-th measurement area is set up to 200-n), so that the concentration of fine dust in the entire movement path 340 can be measured.

As another example, although not shown in the drawing, the first, third, and fifth measurement sensors (200-1, 200-3, 200-5) are installed at a first height, so that fine dust of the moving path 340 at the first height Concentration can be measured, and the second, fourth, and sixth measurement sensors (200-2, 200-4, 200-6) are installed at a second height higher or lower than the first height, and the movement path ( 340) can measure the concentration of fine dust. In the same manner, the concentration of fine dust in the entire movement path 340 may be measured at the first and second heights of different heights up to the n-th region.

On the other hand, in another example, when the second height is lower than the first height, the fine dust concentration of the moving path 340 measured by the second, fourth, and sixth measurement sensors 200-2, 200-4, and 200-6 is The concentration value may be higher than the fine dust concentration of the moving path 340 measured by the first, third, and fifth measurement sensors 200-1. 200-3, 200-5.

In contrast, in another example, when the second height is higher than the first height, the concentration of fine dust in the moving path 340 measured by the second, fourth, and sixth measurement sensors 200-2, 200-4, and 200-6 May have a concentration value lower than the fine dust concentration of the moving path 340 measured by the first, third, and fifth measurement sensors 200-1. 200-3, 200-5.

The central control module 30 is composed of a two-way cloud to provide a notification service to the user terminal 10 or to receive a notification service request through an app installed in the user terminal 10.

The central control module 30 includes a communication unit 31, an error correction unit 32, a prediction operation unit 33, a notification service generation unit 34, a control signal generation unit 35, and a storage unit 36.

In the communication unit 31, the central control module 30 transmits information to the user terminal 10, the air quality measurement device 20, and the fine dust reduction device 40, or the central control module 30 transmits information to the user terminal 10. , It is provided to receive information from the air quality measuring device 20 and the fine dust reduction device 40.

The error correction unit 32 corrects an error of the air quality measurement information 341 with respect to the movement path 340 received from the measurement sensor 200 through the communication unit 31.

Here, the error correction unit 32 corrects the error of the air quality measurement information 341 by means of the movement means 11 or the scattering of the wind in an environment in which the density of the fine dust measured by the measurement sensor 200 is frequent. This is because a difference in the concentration of fine dust measured according to the installation position of the measurement sensor 200 or the measurement sensor 200 is greatly increased.

The error correction unit 32 may correct an error of the air quality measurement information 341 in various ways according to the installation method of the measurement sensor 200.

As an example, the error correction unit 32 is the concentration of fine dust measured from the first measurement sensor 200-1 of the first measurement area 20a and the concentration of the fine dust measured from the second measurement sensor 200-2. By calculating the average value, the density error of the fine dust in the first measurement area 20a can be corrected, and in the same way, the error in the concentration of the fine dust in the second and third measurement areas 20b and 20c and the n-th measurement area can be corrected. I can. In the same way, the density error of the fine dust of the entire movement path 340 may be corrected by correcting the density error of the fine dust of the n-th measurement region.

As another example, the 1st, 3rd, 5th measurement sensors 200-1, 200-3, 200-5 are installed at the first height, and the 2nd, 4th and 6th measurement sensors 200-2, 200-4, When 200-6) is installed at the second height, the error correction unit 32 is a fine dust of the first height measured from the first, third, and fifth measurement sensors 200-1, 200-3, and 200-5. The first, second, and third measurement areas 20a, 20b are calculated by calculating the average value of the concentration and the concentration of the fine dust of the second height measured from the second, fourth, and sixth measurement sensors 200-2, 200-4, and 200-6. , 20c) may be corrected, and the fine dust concentration error of the entire movement path 340 may be corrected by correcting the fine dust concentration error of the n-th measurement region in the same manner.

The prediction operation unit 33 predicts one or more prediction movement paths 342 using the movement path 340 of the user terminal 10 received from the measurement sensor 200 through the communication unit 31.

Here, the predicted movement path 342 refers to a path in which the user can move from the end point 340a of the movement path while being connected to the movement path 340.

The prediction operation unit 33 calculates the air quality prediction information 343 of the prediction movement path 342 using the air quality measurement information 341 of the movement path 340 corrected by the error from the error correction unit 32, and predicts The calculation process of the air quality prediction information 343 of the calculation unit 33 is as follows.

First, the prediction operation unit 33 includes one or more predicted movement paths 342-1, which the user can move from the movement path 340 in which the measurement sensor 200 is installed on the map 345 and the end point 340a of the movement path. 342-2, 342-3) is output. At this time, the movement path 340 in which the measurement sensor 200 is installed may be included in the first grid regions 330a, 330b, 330c divided by the map, and the predicted movement paths 342-1, 342-2, 342-3 ) May be included in the second grid regions 331a, 331b, and 331c adjacent to the at least one first grid region 330a including the end point 340a of the movement path.

Thereafter, the prediction operation unit 33 determines the distance difference between the measurement sensor 200 and the end points 342a, 342b, and 342c of the predicted movement path and the predicted movement paths 342-1, 342-2, and 342-3. Air quality prediction information 343 of each predicted movement path 342-1, 342-2, and 342-3 may be calculated by reflecting an environmental factor including at least the surrounding terrain information (eg, altitude).

At this time, if the measurement sensor 200 is installed at the end point 340a of the movement path, the prediction operation unit 33 includes the end point 340a of the movement path and the end point 342a, 342b, 342c of the predicted movement path. Air quality prediction information 343 of each predicted movement path 342-1, 342-2, and 342-3 may be calculated using the distance difference of.

On the other hand, the environmental factors reflected by the prediction operation unit 33 to calculate the air quality prediction information 343 include not only surrounding terrain information such as altitude, but also the average fine dust concentration at the end points 342a, 342b, 342c of the predicted movement route. , The average floating population, the average number of floating vehicles, etc. may be further included.

The notification service generation unit 34 generates a notification service 340 for providing to the user terminal 10.

The notification service 340 is received from the air quality measurement device 20 through the communication unit 31 and is then reflected on the map 345, and the prediction from the movement path 340 and the air quality measurement information 341 and the prediction operation unit 33 It includes the calculated predicted movement path 342 and air quality prediction information 343.

In addition, the notification service 340 provides event information 344, movement path 340 or predicted movement path 342 on the fine dust reduction status received from the fine dust reduction device 40 through the communication unit 31. It includes a user's response plan 346 to dust and a risk assessment result 347 when the user is exposed from fine dust of the movement path 340 or the predicted movement path 342.

Here, the countermeasure 346 is a method that the user should respond to according to the fine dust concentration of the moving path 340 or the predicted moving path 342. Includes whether to wear a mask according to.

In addition, the risk assessment result 347 is a numerical value of the expected life expectancy and health risk of the user, which is calculated by analyzing the user's exposure coefficient when exposed from the fine dust of the moving route 340 or the predicted moving route 342. will be.

When receiving the movement path 340 from the measurement sensor 200 through the communication unit 31, the control signal generation unit 35 transmits a control signal for controlling the fine dust reduction device 40 to the fine dust reduction device 40. ). In this case, the control signal of the fine dust reduction device 40 may include information on the fine dust concentration to be reduced by the fine dust reduction device 40.

In addition, the control signal generation unit 35 may transmit a control signal for controlling the measurement sensor 200 to the measurement sensor 200. In this case, the control signal of the measurement sensor 200 may include information on on/off of the measurement sensor 200.

The storage unit 36 is configured with a block chain algorithm 36a for verifying and storing the notification service 340 generated from the notification service generation unit 34, and the notification service 340 according to the block chain algorithm 36a. One or more nodes 36b are configured for block chaining) into a block chain 360.

The node 36b includes a movement path 340 included in the notification service 340, air quality measurement information 341, a predicted movement path 342, air quality prediction information 343, event information 344, and a map 345. , The reliability of the countermeasure 346 and the risk assessment result 347 is determined to generate a block.

For example, the node 36b includes a movement path 340, air quality measurement information 341, a predicted movement path 342, and air quality prediction information, in which more than half of the nodes are included in the notification service 340 according to the blockchain algorithm 36a. (343), if at least one of the event information 344, the map 345, the response plan 346, and the risk assessment result 347 is determined to be a true value, the at least one information is reliable It can be judged as.

Further, in an example, the node 36b measures the movement path 340 for which reliability verification has been completed, the measurement value 1 (360-1), the air quality measurement information 341, the measurement value 2 (360-2), and the predicted movement path ( 342) as measured value 3 (360-3), air quality predicted information (343) as measured value 4 (360-4), map 345 as measured value 5 (360-5), and countermeasure (346) as measured value Blockchain 360 can be created by generating blocks of 6 (360-6) and risk assessment results 347 as a block of measurement value 7 (360-7).

Accordingly, the central control module 30 may provide a block chain 360, which is a notification service 340 that is converted into a block chain in the storage unit 36, to the user terminal 10.

On the other hand, by receiving the block chain 360 from the storage unit 36 through the user terminal 10, it is possible for the user to receive the notification service 340 with secured reliability.

The fine dust reduction device 40 reduces fine dust of the movement path 340 or the predicted movement path 342 when receiving the control signal generated from the control signal generation unit 35.

This fine dust reduction device 40 includes means for controlling the moving means 11 moving along the moving path 340 or the predicted moving path 342, the moving path 340 or the predicted moving path 324. The control signal is transmitted through at least one of means for controlling the area, ventilation means installed on the movement path 340 or the predicted movement path 342, fine dust control means installed on the movement path 340 or the predicted movement path 342, etc. It is possible to reduce the fine dust concentration as much as the included reduced fine dust concentration.

In addition, the fine dust reduction device 40 generates event information 344 on the fine dust reduction status and transmits the generated event information 344 to the notification service generation unit 34.

In this case, the fine dust reduction device 40 may generate other event information according to whether or not to reduce the fine dust concentration equal to the reduced fine dust concentration included in the control signal and transmit it to the notification service generator 34.

As an example, the fine dust reduction device 40 may generate first event information and transmit the first event information to the notification service generation unit 34 when reduction of the fine dust concentration corresponding to the reduced fine dust concentration included in the control signal is completed. In this case, the event information 344 included in the notification service 340 may include information on a state in which the fine dust concentration reduction corresponding to the reduced fine dust concentration has been completed as first event information.

As another example, the fine dust reduction device 40 may generate second event information and transmit it to the notification service generation unit 34 when reduction of the fine dust concentration corresponding to the reduced fine dust concentration included in the control signal is not completed. . In this case, the event information 344 included in the notification service 340 may include information on a state in which the fine dust concentration reduction corresponding to the reduced fine dust concentration has not been completed as second event information.

On the other hand, the fine dust reduction device 40 is not limited to a device for reducing fine dust in the movement path 340, and a device for reducing the concentration of pollutants in the air quality measurement information 341 measured from the measurement sensor 200 Can be replaced with

For example, when the air quality measurement information 341 measured by the measurement sensor 200 is the nitrogen dioxide concentration, the fine dust reduction device 40 may be replaced with a device for reducing nitrogen dioxide.

In Embodiment 1, to describe in detail the process of a notification service-centered air quality management method when a user requests a notification service 340 from the central control module 30 through an app of the user terminal 10 with reference to FIG. 8. would.

8 is a flowchart showing a process of a method for managing air quality based on a notification service according to the first embodiment of the present invention.

First, the air quality measurement device 20 may measure the air quality measurement information 341 of a certain area including the movement path 340 by the measurement sensor 200 in real time, and then transmit it to the central control module 30 ( S100).

After that, the user may request the notification service 340 from the central control module 30 by running the app installed in the user terminal 10 (S110).

Thereafter, when the user terminal 10 starts moving, the user terminal 10 can transmit the location information of the user terminal 10 to the air quality measuring device 20 installed in the movement path 340 through the GPS function. Yes (S120).

Thereafter, the air quality measurement device 20 may measure the movement path 340 of the user terminal 10 based on the location information received from the user terminal 10, and the measured movement path of the user terminal 10 The 340 may be transmitted to the central control module 30 (S130).

Thereafter, the central control module 30 may transmit a control signal for reducing fine dust of the moving path 340 to the fine dust reducing device 40 through the air quality measurement information 341 of the moving path 340 ( S140).

Thereafter, the fine dust reduction device 40 may generate event information 344 according to whether or not to reduce the fine dust concentration as much as the reduced fine dust concentration included in the control signal and transmit it to the central control module 30 ( S150).

After that, the central control module 30 is a movement path 340, air quality measurement information 341, predicted movement path 342, air quality prediction information 343, event information 344, map 345, response plan (346) and the risk assessment result (347) is generated, the notification service 340 is created, and after the verification and storage of the notification service 340 is converted into a block chain, the block chain 360 is transferred to the user terminal 10. Can be transmitted (S160).

In this embodiment 1, the user receives the notification service 340 from the central control module 30 through the app of the user terminal 10, and requests the notification service 340 through the app of the user terminal 10. , It is possible to selectively receive information of the notification service 340.

For example, the user selects an item of the notification service 340 through the execution of the app on the user terminal 10, and selects the air quality measurement information 341, the predicted movement path 342, the air quality prediction information 343, and the event information 344. ) And the map 345 are provided, but the countermeasure 346 and the risk assessment result 347 may not be provided.

In Example 2, compared to the air quality management method of Example 1, as shown in FIG. 9, a user requests a notification service 340 from the central control module 30 by running an app installed in the user terminal 10. Except that the process is omitted, since the process is the same only as the reference numerals, a detailed description of the process of the air quality management method according to the second embodiment will be omitted.

However, in the second embodiment, the user is not provided with the notification service 340 from the central control module 30 through the app of the user terminal 10, so the notification from the central control module 30 through a separate message other than the app. The service 340 may be provided.

Furthermore, since the notification service 340 is composed of a message, the generation of the map 345 may be omitted, and the movement route 340, the air quality measurement information 341, the predicted movement route 342, and the air quality prediction information ( 343) can be included in the message in the form of text.

Detailed description of the preferred embodiments of the present invention disclosed as described above has been provided to enable those skilled in the art to implement and practice the present invention. Although the above has been described with reference to preferred embodiments of the present invention, those skilled in the art will understand that various modifications and changes can be made to the present invention without departing from the scope of the present invention. For example, a person skilled in the art may use the components described in the above-described embodiments in a manner that combines with each other. Accordingly, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

The present invention may be embodied in other specific forms without departing from the spirit and essential features of the present invention. Therefore, the detailed description above should not be construed as restrictive in all respects and should be considered as illustrative. The scope of the present invention should be determined by reasonable interpretation of the appended claims, and all changes within the equivalent scope of the present invention are included in the scope of the present invention. The invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein. In addition, the embodiments may be configured by combining claims that do not have an explicit citation relationship in the claims, or may be included as new claims by amendment after filing.

1: air quality management system, 10: user terminal,
11: vehicle, 20: air quality measuring device,
20a: first measurement area, 20b: second measurement area,
20c: third measurement area, 30: central control module,
31: communication unit, 32: error correction unit,
33: prediction operation unit, 34: notification service generation unit,
35: control signal generation unit, 36: storage unit,
36a: blockchain algorithm, 36b: node,
40: fine dust reduction device, 200: measurement sensor,
330: a first grid area, 331: a second grid area,
340: movement route, 340a: end point of movement route,
341: air quality measurement information, 342: predicted movement path,
342a: end point of the predicted movement route, 343: air quality prediction information,
344: event information, 345: map,
346: countermeasures, 347: risk assessment results,
360: Blockchain.

Claims (12)

A user terminal installed with an app for requesting a notification service;
When one or more of the user terminals are installed on the movement path to be moved and detects that the user terminal approaches within a preset distance, the movement path is measured by receiving the location information of the user terminal from the user terminal, and the movement path An air quality measuring device that measures the air quality of the house in real time;
A center consisting of a two-way cloud for receiving the notification service from the user terminal, generating the notification service including the movement path received from the air quality measuring device and air quality measurement information of the movement path, and providing the notification service to the user terminal Control module; And
When receiving a control signal from the central control module, a fine dust reduction device for reducing fine dust in the movement path and transmitting event information on the fine dust reduction status to the central control module; including,
The notification service,
The predicted movement path of the user terminal and the air quality prediction information of the predicted movement path, the user's response plan to the movement path or the fine dust of the predicted movement path, and the user may select the movement path or the fine dust of the predicted movement path The results of the risk assessment when exposed from
The central control module,
Receiving a request for the notification service from the user terminal or providing the notification service to the user terminal, receiving the movement path and air quality measurement information of the movement path from the air quality measuring device, and the event information from the fine dust reduction device A communication unit for receiving or transmitting the control signal to the fine dust reduction device;
An error correction unit for correcting an error in the air quality measurement information of the movement path;
Predicts one or more paths to which the user terminal can move from the movement path as the predicted movement path, and calculates air quality prediction information of the predicted movement path by using the air quality measurement information of the movement path, which is error-corrected by the error correction unit. A prediction operation unit to perform;
Creating a notification service that generates the notification service by reflecting the movement route, air quality measurement information of the movement route, the predicted movement route, air quality prediction information of the predicted movement route, the event information, the response plan, and the risk assessment result part; And
And a storage unit configured to configure a block chain algorithm for verifying and storing the notification service generated by the notification service generation unit. delete The method of claim 1,
The storage unit,
One or more nodes are configured, and at least half of the nodes are based on the block chain algorithm, the movement route, air quality measurement information of the movement route, the predicted movement route, the air quality prediction information of the predicted movement route, the event information, and the When it is determined that at least one of the countermeasures and the risk assessment result is a true value, the at least one piece of information is generated as a block and then converted into a block chain. The method of claim 3,
The user terminal,
An air quality management system, characterized in that receiving a block-chained notification service from the storage unit. The method of claim 1,
The error correction unit,
After setting the one measurement sensor and the other measurement sensor closest to the one measurement sensor as a measurement area, the average value of the air quality measurement information measured in the measurement area is calculated to correct the error of the air quality measurement information. Air quality management system, characterized in that. The method of claim 1,
The error correction unit,
The air quality is measured by calculating the average value of the air quality measurement information respectively measured from a measurement sensor installed at a first height and a measurement sensor installed at a second height higher or lower than the first height and closest to the measurement sensor installed at the first height. An air quality management system, characterized in that correcting errors in information. The method of claim 1,
The prediction operation unit,
At least the distance difference between the measurement sensor installed on the movement path included in the first grid area and the end point of the prediction movement path included in the second grid area adjacent to the first grid area and the surrounding terrain information of the prediction movement path An air quality management system comprising calculating air quality prediction information of the predicted movement path by reflecting the included environmental factors. The method of claim 1,
The central control module,
And a control signal generator for generating the control signal to be transmitted to the fine dust reduction device when receiving the movement path measured from the air quality measuring device through the communication unit. The method of claim 1,
The notification service,
And providing the movement path, the predicted movement path, the air quality measurement information, the air quality prediction information, and the event information on a map. The method of claim 1,
The air quality measuring device,
An air quality management system, characterized in that it is mounted on one side of a delineator or street lamp that is sequentially installed at a predetermined interval in the movement path. The method of claim 1,
The fine dust reduction device,
The control through at least one of a means for controlling a moving means moving along the moving path, a means for controlling an area including the moving path, a ventilation means installed on the moving path, and a fine dust control means installed on the moving path Air quality management system, characterized in that reducing the fine dust concentration as much as the reduced fine dust concentration included in the signal. The method of claim 11,
The fine dust reduction device,
First event information generated when the fine dust concentration is reduced by the reduced fine dust concentration included in the control signal or generated when the reduction of the fine dust concentration by the reduced fine dust concentration included in the control signal is incomplete And transmitting the second event information to the central control module.

Images