KR101885350B1 - System for integrated managment of air pollution - Google Patents

Abstract

Disclosed is an integrated air pollution management system. The integrated air pollution management system includes: a plurality of pollution data collecting parts sensing an atmospheric condition to detect a leakage amount of harmful substances by type; a plurality of gateway terminals grouped with the pollution data collecting parts to collect leakage amount data of the harmful substances by group and transmit the collected leakage amount data through wireless Internet communication; and a management server receiving all of the collected leakage amount data of the harmful substances and simulating the data in accordance with geographic features of the detected area, and building prevention and evacuation solutions to a leakage of the harmful substances in accordance with the simulation′s results. As such, the system simulates air pollution in real time considering the regionality and geographic features of a detected region and accurately analyzes and predicts the degree of atmospheric spread of harmful substances, and thus, the present invention is capable of quickly building prevention and evacuation solutions to a leakage of the harmful substances.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an air pollution management system,

The present invention simulates the pollution state in real time considering the local area, the atmospheric environment and the geographical characteristic of the area in which the air pollution is detected, accurately analyzes and predicts the atmospheric diffusion degree of the pollutant, And to an integrated management system for air pollution that can quickly establish a plan and evacuation plan.

Recently, as dangerous atmospheric substance leakage accidents have increased in domestic and overseas large-scale industrial facilities, safety management for industrial facilities, prevention of medium and large-sized accidents, and prediction of risk have been increasing in importance.

Large-scale industrial facilities, especially factory facilities in chemical complexes, produce or handle hazardous substances, which can cause serious damage to the environment and human life when accidents and leaks occur. Especially, if the location of the residential area is very close to the industrial complex or the factory facility, the air quality of the residential area is greatly affected by the industrial complex or the factory facility.

Especially, when industrial complexes and factory facilities are widely distributed, it is difficult to predict the diffusion model depending on the atmospheric and terrestrial conditions of the area when toxic chemicals are leaked.

Accordingly, as disclosed in Korean Patent No. 10-1382507 (Registered on April 04, 2014, etc.), the air diffusion prediction system has been introduced as a part of conventional air pollution reduction and diffusion preventive measures, .

However, most of the models currently in use in the US are developed in the USA, and the conventional atmospheric diffusion prediction system can not be used for real-time synchronization of terrain and atmospheric information, There was a limit. Especially, in the complex terrain and coastal areas as in Korea, reliability is lowered and questions are raised.

Therefore, it is required to provide budget support and related experts' efforts to develop a prediction model of air pollution and diffusion suitable for domestic situation. However, the development process is very complex and difficult, and thus it has been inevitably underestimated compared to development expectation. In order to develop the air pollution and diffusion prediction model, it is necessary to correctly interpret the air quality simulation results. In order to actually use the air quality improvement measures, it is necessary to secure the validity of the simulation results through various simulations, Verification should precede.

However, in the case of current air quality simulation in Korea, it is necessary to compare the emission data used before the analysis of the simulation results with the basic emission data such as uncertainties and problems in the process of comparing and analyzing the pollutants, The research on the validity of

Disclosure of Invention Technical Problem [8] Accordingly, the present invention has been made to solve the above-mentioned problems, and it is an object of the present invention to provide a method and apparatus for simulating pollution conditions in real time considering atmospheric conditions and geographical characteristics, The present invention aims to provide an integrated air pollution management system capable of rapidly constructing an emergency disaster prevention plan and evacuation plan in accordance with the leakage of harmful substances.

In addition, scenarios based on regional leaks were derived from past data or accumulated data, and by identifying the spread of pollutant leaks in advance, the evacuation plan and disaster prevention plan based on the prediction of the atmospheric diffusion of pollutants were established. , And to provide an integrated air pollution management system that can reduce third-level damage.

According to another aspect of the present invention, there is provided an integrated air pollution management system including a plurality of pollution data collection units for detecting a state of air and detecting a leakage amount for each type of pollutants, A plurality of gateway terminals for collecting leakage data by type of hazardous material group by group and transmitting leakage data collected by wireless Internet communication and the leakage data by type of collected harmful substances and receiving simulation data according to the features of the detection area And a management server for constructing a disaster prevention plan and an evacuation plan in accordance with the leakage of the toxic substances according to a result of the simulation process.

The management server implements the 3D map of the area where the harmful substance is detected by using the self-stored map information and the map information from the outside, and stores the kind of the harmful substance, the leakage amount data for each harmful substance, And analyzing the atmospheric flow field from the result of the simulation process to confirm and predict the path of the hazardous material and construct the above disaster prevention plan and evacuation plan according to the prediction result.

The integrated air pollution management system according to an embodiment of the present invention having various technical features as described above simulates the contamination state in real time considering the local area where the air pollution state is detected, the atmospheric environment according to the area, and the geographical characteristic , And the degree of atmospheric diffusion of pollutants can be accurately analyzed and predicted, so that it is possible to quickly construct disaster prevention measures and evacuation measures due to the leakage of harmful substances.

In particular, when exposed to hazardous substances, it is possible to improve the reliability of the simulation by continuously correcting the values through the past airborne diffusion simulation and the present measurement data feedback through the data on each measurement instrument. In the simulation of the atmospheric diffusion, GPU analysis method is used and simulation is performed in real time by applying the acceleration algorithm.

In addition, scenarios based on regional leaks were derived from past data or accumulated data, and by identifying the spread of pollutant leaks in advance, the evacuation plan and disaster prevention plan based on the prediction of the atmospheric diffusion of pollutants were established. , It is effective to reduce the third damage.

FIG. 1 is a block diagram specifically illustrating an integrated air pollution management system according to an embodiment of the present invention.
2 is a block diagram specifically showing the management server shown in FIG.
FIG. 3 is a view for explaining a method of configuring a feature of the 3D map constructing unit shown in FIG. 2. Referring to FIG.
FIG. 4 is a diagram for explaining a boundary setting method of the 3D map constructing unit shown in FIG. 2. FIG.
5 is a diagram for explaining a simulation method of the simulation processing unit shown in FIG.
FIG. 6 is a view for explaining the atmospheric flow field analysis method shown in FIG. 2. FIG.
FIG. 7 is a diagram showing the determination result of the standby state prediction / determination unit shown in FIG. 2. FIG.
8 is a diagram showing a result of the determination by the standby state prediction / determination unit shown in FIG. 2 in the monitoring unit.
FIG. 9 is a diagram illustrating the determination result of the standby state prediction / determination unit shown in FIG. 2 as an application program of the mobile communication terminal.

The above and other objects, features, and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings, which are not intended to limit the scope of the present invention. In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail. Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a block diagram specifically illustrating an integrated air pollution management system according to an embodiment of the present invention.

1 includes a plurality of pollution data collecting units 100 for detecting the atmospheric condition and detecting the amount of pollution for each type of pollutants, and a plurality of pollution data collecting units 100, A plurality of gateway terminals 200 for collecting leak amount data by type of each of the plurality of gateway terminals 200 and transmitting leakage amount data collected by wireless Internet communication (broadband communication), and a leakage amount And a management server 300 for receiving the data and performing a simulation process in accordance with the feature of the detection area and constructing a disaster prevention plan and an evacuation plan according to the result of the simulation process.

Each contamination data collection unit 100 detects the atmospheric environment in real time and detects each predetermined hazardous material by type. To this end, the contamination data collection unit 100 includes at least one sensing board 110, and a communication module 120.

The at least one sensing board 110 provided in the contamination data collection unit 100 uses hazardous material detection sensors that detect in advance real time harmful substances such as carbon dioxide, carbon monoxide, nitrogen dioxide, ozone, fine dust, Leakage data is generated for each substance.

The communication module 120 of the pollution data collection unit 100 performs short-range wireless communication such as Bluetooth, Wi-Fi, and ZigBee, or performs wide-area remote wireless communication such as 4G, 5G, and LTE, To the gateway terminal 200 together with its own unique information and location information.

Each pollution data collection unit 100 can be grouped with one preset gateway terminal 200. Accordingly, each communication module 120 transmits leak amount data for each harmful substance to the corresponding gateway terminal 200 set as a group with itself.

Each gateway terminal 200 includes at least one communication modem 210 and a wireless communication module 220 for performing broadband Internet communication such as 4G, 5G, and LTE.

Each of the gateway terminals 200 is grouped with a plurality of pollution data collecting units 100 set in advance by at least one communication modem 210 and the pollution data collecting units 100 Lt; / RTI > Then, the wireless communication module 220 transmits the leakage amount data for each harmful substance to the management server 300 together with the unique information and the position information of each contamination data collection unit 100 using the wireless Internet communication.

Each of the gateway terminals 200 performs broadband Internet communication such as 5G and LTE, and forms a predetermined network group.

The management server 300 forms and maintains a network group with each gateway terminal 200. The management server 300 receives the leakage amount data for each harmful substance detected by the pollution data collecting unit 100 and the unique information and the location information of the pollution data collecting unit 100 through the respective gateway terminals 200 Receive. Then, the management server 300 simulates the leaking amount data of the collected hazardous materials according to the feature of the detection area, and then builds a disaster prevention plan and evacuation plan according to the result of the simulation process.

Specifically, the management server 300 implements the 3D map in which the hazardous substance is detected using the map information stored in the self-stored map information and the map information from the outside. The types of the harmful substances, the leakage amount data for each harmful substance, the location information of each contamination data collection unit 100, and the weather information inputted from the outside are combined with the 3D map, and the simulation processing is performed. Then, from the result of the simulation process, the atmospheric flow field is analyzed to confirm and predict the diffusion path of the harmful substance, and the disaster prevention plan and the evacuation plan are constructed according to the prediction result.

In addition, the management server 300 compares the leakage amount data for each hazardous material type applied to the past atmospheric diffusion simulation and the leakage amount data for each hazardous material type collected in real time, and corrects leakage amount data for each hazardous material type collected in real time through a feedback process . Then, the leakage data for each type of hazardous substances can be simulated according to the feature of the detection area. In this case, the simulation reliability can be further improved because it can be simulated using a wide range of accurate data corrected for a predetermined period of time rather than only the data of a temporary period. The configuration and main operation characteristics of the management server 300 will be described in more detail with reference to the accompanying drawings.

2 is a block diagram specifically showing the management server shown in FIG.

2 includes a network communication unit 310, a data collection unit 320, a central processing unit 330, a monitoring unit 340, a database 350, and an application program support unit 360 .

The network communication unit 310 forms an Internet network group with each of the gateway terminals 200. The network communication unit 310 transmits the leakage amount data for each harmful substance detected by the pollution data collection unit 100 for each group and the unique information and the location information of the pollution data collection units 100 through the respective gateway terminals 200 Receive.

The data collection unit 320 stores the leakage amount data for each harmful substance into the database 350 according to the detection region according to the unique information and the location information of the contamination data collection unit 100.

The central processing unit 330 receives all the leakage amount data for each type of the harmful substances collected and performs simulation processing in accordance with the feature of the detection area. From the simulation result, the diffusion path of the hazardous material is predicted by analyzing the atmospheric flow field of the detection zone. Specifically, the central processing unit 330 implements a 3D map of an area where toxic substances are detected by using map information stored in the database 350 and map information from the outside. The types of the harmful substances, the leakage amount data for each harmful substance, the location information of each contamination data collection unit 100, and the weather information inputted from the outside are combined with the 3D map, and the simulation processing is performed. From the results of the simulation, we analyze the atmospheric flow field to identify and predict the path of the hazardous material diffusion.

The central processing unit 330 performs a simulation process in accordance with the leakage amount data for each hazardous material type in accordance with the feature of the detection region, analyzes the atmospheric flow field of the detection region, and predicts the diffusion path of the harmful substance. A simulation processing unit 332, an atmospheric flow field analysis unit 333, and a standby state prediction / determination unit 334. Detailed functions of the 3D map construction unit 331, the simulation processing unit 332, the atmospheric flow field analysis unit 333, and the standby state prediction / determination unit 334 will be described in detail with reference to the accompanying drawings .

The monitoring unit 340 displays a simulation result of the central processing unit 330, a hazardous material diffusion path, and a prediction result as a monitor so that an administrator or an interested person can confirm it. Accordingly, the monitoring unit 340 supports the administrators to construct the disaster prevention plan and the evacuation plan according to the prediction result of the central processing unit 330. [

The application program support unit 360 monitors the application program installation file and the source file, the homepage, URL information, and the like, to the monitoring unit (not shown) so that the simulation processing result, the hazardous substance diffusion path, 340 and a manager's mobile communication device.

In addition, the application program support unit 360 receives a simulation processing result, a harmful substance diffusion path, and a prediction result from the central processing unit 330 and outputs a simulation processing result, a toxic substance diffusion path, and a prediction result to the application program of the mobile communication apparatus To be displayed. Therefore, the administrator can check the simulation result, the path of diffusion of harmful substances, and the prediction result in smart phone, tablet communication device, personal PC, etc. in real time, and real time disaster prevention plan and evacuation plan can be constructed.

When the administrator constructs the disaster prevention plan and the evacuation plan and inputs them as an application program, it is stored in the database 350 through the central processing unit 330 and the disaster prevention plan and the evacuation plan are transmitted to the monitoring unit 340 and the application program support unit 360 , It can be communicated and notified to other predetermined control agencies or persons concerned.

FIG. 3 is a view for explaining a method of configuring a feature of the 3D map constructing unit shown in FIG. 2. Referring to FIG. 4 is a diagram for explaining a boundary setting method of the 3D map constructing unit shown in FIG.

3, the 3D map configuring unit 331 of the central processing unit 330 includes map information stored in the database 350, map information supported by web sites such as aerial photographs, satellite photographs, Combine and use view photographs and data, and implement the 3D map of the area where the hazardous materials are detected.

Once the 3D map is implemented, the boundary of the feature is set according to the boundary conditions of the terrain and the object shown in the 3D map. Specifically, the feature item can be divided by spatial division along the depth information, the brightness, and the line of the 3D map. And the boundary condition can divide the area without space and the space into the boundary of the extended line. Thus, it is possible to distinguish between feature elements and atmospheric requirements without features.

5 is a diagram for explaining a simulation method of the simulation processing unit shown in FIG.

5, the simulation processing unit 332 of the central processing unit 330 calculates the types of harmful substances, the leakage amount data for each harmful substance, the location information of each pollution data collection unit 100, Simulation is performed in combination with the map of the map.

Specifically, the simulation processor 332 carries out simulation by dividing into a streaming step and a collision step, as shown in FIG. 5, when performing a simulation. The translation process is a process of simulating a state of moving by one step to the next lattice point. The collision process is the process of processing the variation between the distribution function and the equilibrium distribution function that move to the corresponding lattice point.

By combining the leakage amount data for each harmful substance and the location information of each pollution data collection unit 100 in a 3D map in which the feature type and the atmospheric space are bounded by colors in different kinds of harmful substances, . In addition, according to the weather information inputted from the outside, the leakage amount and travel route for each harmful substance are simulated at predetermined time intervals in accordance with the change of the weather.

FIG. 6 is a view for explaining the atmospheric flow field analysis method shown in FIG. 2. FIG.

As shown in FIG. 6, the atmospheric flow field analysis unit 333 simulates and numerically analyzes the amount of leakage of harmful substances and the movement route of harmful substances simulated using the Lattice Boltzmann method (Lattice Boltzmann Method).

The Lattice Boltzmann method implements the particle collision algorithm at each lattice point. Unlike the conventional numerical methods such as the finite volume method (FVM) and the finite element method (FEM), the finite element method Particles are numerical methods for simulating the flow through the process of moving along the Boltzmann lattice based on kinetic theory, colliding with each other, giving momentum, and changing the probability distribution of fluid particles.

The reason why Lattice Boltzmann technique is applied is that the difference of the governing equations used in the flow analysis simplifies the discretization of the 2nd order partial differential equation in 1st order to simplify the discretization of the same physical phenomenon, Because. Also, instead of solving the nonlinear equations when exchanging the flow field information between the lattice and the lattice, it is replaced by a simple streaming process and the computation speed is fast.

In particular, there is no part of the matrix approaching the ideal gas state equation when expressing the internal pressure of the flow field, which is suitable for solving large problems and has high parallelism efficiency. And because the boundary conditions are handled, there are many intuitive parts, so it is easy and quick to apply the multi-physics analysis.

Thus, in Lattice Boltzmann technique, the flow phenomenon can be expressed intuitively because the fluid is simulated as a set of particles instead of being imitated by complex differential equations or integral equations. This feature can be easily coupled to two-way coupling in the form of a Lagrangian method for determining the motion of the object using the equation of motion to express the interaction with other physical phenomena other than the flow. Therefore, it has a strength in expressing motion of complex object or performing multi-physics analysis.

FIG. 7 is a diagram showing the determination result of the standby state prediction / determination unit shown in FIG. 2. FIG.

As shown in FIG. 7, the standby state prediction / determination unit 334 graphically processes the amount of leakage of harmful substances and the route of the hazardous materials using GPGPU (General Purpose Graphics Processing Unit) Identify and predict hazardous substance diffusion pathways.

GPGPU was developed for use in general purpose computing and is capable of computing hundreds to thousands of cores in a common graphics processing unit (GPU) at the same time. By using GPGPU, it is possible to obtain a speed-up effect of about several tens of times in comparison with the case of conventional analysis by a conventional CPU in a general personal computer or a tablet PC. In particular, GPGPU is a programming model that can significantly improve the speed of computing with a large number of GPU cores as a parallel computing platform. It provides intuitive GPU programming based on C language and enables fast operation using shared memory.

Referring to FIG. 7, the standby state prediction / determination unit 334 graphically processes the leakage amount of each harmful substance and the movement path of the harmful substances using the GPGPU, and identifies and predicts the hazardous material diffusion path according to the analysis result do.

Specifically, the analysis result of the atmospheric diffusion flow field can be visualized by displaying the 3D display value calculated by the grid network DEM on the screen within 10,000 seconds in 10,000 frames using the GPU. In this case, the diffusion result of the flow field is mapped to the lattice network and the result information and loaded into the memory as a graph, and then the spreading result can be determined by the density displayed on the lattice network by rapidly expressing the result. The diffusion result is displayed in different colors depending on the concentration, so that the contamination concentration can be more clearly confirmed.

8 is a diagram showing a result of the determination by the standby state prediction / determination unit shown in FIG. 2 in the monitoring unit. And FIG. 9 is a diagram illustrating the determination result of the standby state prediction / determination unit shown in FIG. 2 as an application program of the mobile communication terminal.

As shown in FIG. 8, the monitoring unit 340 displays a simulation result of the central processing unit 330, a harmful substance diffusion path, and a prediction result so that an administrator or an interested person can confirm the result. Accordingly, the administrators can confirm the simulation processing result, the hazardous material diffusion path, and the prediction result with the monitor according to the prediction result of the central processing unit 330, thereby constructing the disaster prevention plan and the evacuation plan.

On the other hand, in the application program support unit 360 of the central processing unit 330, the application program installation file and the source file, the application program installation file, and the source file are displayed so that the simulation processing result, A home page and URL information to the monitoring unit 340 and the manager's mobile communication device.

Accordingly, as shown in FIG. 8, a mobile communication device can also receive a simulation result, a harmful substance diffusion path, and a prediction result. Therefore, the administrator can check the simulation result, the path of diffusion of harmful substances, and the prediction result in smart phone, tablet communication device, personal PC, etc. in real time, and real time disaster prevention plan and evacuation plan can be constructed.

As described above, the integrated air pollution management system according to the embodiment of the present invention simulates the pollution state in real time in consideration of the local environment that senses the air pollution state, the atmospheric environment and the geographical characteristic of each region, By precisely analyzing and predicting the degree of atmospheric diffusion, disaster prevention measures and evacuation measures due to the leakage of harmful substances can be constructed quickly.

In particular, when exposed to hazardous substances, it is possible to improve the reliability of the simulation by continuously correcting the values through the past airborne diffusion simulation and the present measurement data feedback through the data on each measurement instrument. In the simulation of the atmospheric diffusion, GPU analysis method is used and simulation is performed in real time by applying the acceleration algorithm.

In addition, scenarios based on regional leaks were derived from past data or accumulated data, and by identifying the spread of pollutant leaks in advance, the evacuation plan and disaster prevention plan based on the prediction of the atmospheric diffusion of pollutants were established. , It can reduce the third damage.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the following claims. It will be possible.

100: pollution data collection unit
110: sensing board
120: Communication module
200: Gateway module
210: communication modem
220: Two-wire communication module
300: management server
310: Network communication section
320: Data collecting unit
330:
340: Monitoring section

Claims (7)

A plurality of pollution data collecting units for detecting a waiting state and detecting a leakage amount for each kind of harmful substance;
A plurality of gateway terminals for collecting leak amount data for each type of the harmful substances grouped by the plurality of pollution data collection units and transmitting the collected leakage amount data by wireless Internet communication; And
And a management server for receiving all of the collected leakage data by the collected hazardous materials and performing a simulation process in accordance with the features of the detection area and constructing a disaster prevention plan and a evacuation plan in accordance with the result of the simulation process,
The management server
By using the Lattice Boltzmann method that implements the particle collision algorithm at the lattice point, the leakage amount by the kind of the harmful substance to be simulated and the movement path along which the harmful substances move along the Boltzmann lattice are simulated and numerically analyzed After analyzing the atmospheric flow field,
Mapping the leaking amount for each kind of the harmful substances and the movement path of the harmful substances into a lattice network using a General Purpose Graphics Processing Unit (GPGPU), graphically processing the result, analyzing the diffusion result at a concentration displayed in the lattice network, By identifying and predicting the diffusion path for each harmful substance according to the method of the present invention,
Air Pollution Integrated Management System.
The method according to claim 1,
The management server
A 3D map of a region where toxic substances are detected using the self-stored map information and map information from outside, and the type of the harmful substance, the leakage amount data per the harmful substances, Simulation is performed in combination with the feature,
Analyzes the atmospheric flow field from the result of the simulation processing to identify and predict the toxic substance diffusion path, and builds the disaster prevention plan and evacuation plan according to the prediction result
Integrated Air Pollution Management System.
The method according to claim 1,
The management server
The leak amount data for each type of the hazardous material applied to the past air-diffusion simulation is compared with the leakage amount data for each collected hazardous material type, the leakage amount data for each collected hazardous material type is corrected through a feedback process,
And the leakage amount data for each of the types of the harmful substances is subjected to simulation processing in accordance with the topographical object of the hazardous material detection area
Integrated Air Pollution Management System.
The method according to claim 1,
The management server
A network communication unit that receives all the unique information, location information, and leakage amount data for each harmful substance through the respective gateway terminals in an Internet network group with each of the gateway terminals;
A data collection unit for storing leakage data for each harmful substance into a database according to detection regions according to the unique information and the location information of the contamination data collection unit;
A central processing unit for receiving all the leakage amount data for each of the collected hazardous materials and performing a simulation process in accordance with the feature of the detection area and predicting a harmful substance diffusion path according to the result of the simulation process;
And a monitoring unit for displaying a simulation result of the central processing unit, the hazardous substance diffusion path, and the prediction result on a monitor
Integrated Air Pollution Management System.
5. The method of claim 4,
The central processing unit
A region in which the hazardous substance is detected is combined with at least one photograph and data of the map information, aerial photograph, satellite photograph, map information supported by the website, distance view photograph and data, A 3D map constituent unit to be implemented;
A simulation processing unit for performing simulation processing in combination with the types of the harmful substances, the leakage amount data for each of the harmful substances, the location information of each contamination data collection unit, and the 3D map of the map;
An atmospheric flow field analysis unit for analyzing the leakage amount of each of the harmful substances and the movement route of the harmful materials using the Lattice Boltzmann technique;
And a waiting state prediction / judgment unit for graphically processing the leakage amount of each of the harmful substances and the moving path of the harmful substances with the GPGPU,
Integrated Air Pollution Management System.
6. The method of claim 5,
The 3D map constructing unit
The 3D map is divided into spatial information by the depth information and the depth of the 3D map shown in the 3D map, and the lines are divided to divide the feature, and the area without space and the space are divided into the boundary of the extended line, To distinguish between non-existent waiting requirements
Air Pollution Integrated Management System.
The method according to claim 6,
The simulation processing unit
A 3D map in which the topographic feature and the atmospheric space are bounded are colored in different colors according to the types of harmful substances and the leakage amount data for each harmful substance and the positional information of each of the contaminated data collection units are combined so that an air pollution state To be applied,
The leakage amount and the movement route for each harmful substance are simulated at preset time intervals in accordance with the change in the weather according to the weather information inputted from the outside
Integrated Air Pollution Management System.

Images