KR101607878B1 - System and method for providing air quality information by integrating virtual sensor and monitoring sensor - Google Patents

Abstract

The present invention relates to an air quality information service system and method, and more particularly, to a system and method for an air quality information service, which includes a receiving unit for receiving measured data from a sensor installed to measure air quality, a virtual sensor for generating air quality data of a specific area A calibration module for generating corrected air quality data by correcting the air quality data of the specific area using the measured data, and a transmitter for transmitting the corrected air quality data to the user's terminal. According to the present invention, there is an advantage that the range of providing the air quality information through the virtual sensor module is improved.

Description

TECHNICAL FIELD [0001] The present invention relates to an air quality information service system incorporating a virtual sensor and an observation sensor,

The present invention relates to an air quality information service system and method, and more particularly, to a service system and method capable of providing air quality information by overcoming a spatial limitation of a sensor installed to observe the air quality.

Air quality refers to the concentration of air pollutants such as gases and fine dust that are harmful to the human body. Air quality is an important indicator of the atmospheric environment that affects human health. The present air quality information providing service transmits the measured data of the air quality measuring sensors installed in each region to the users through the network installed on the road side or the like.

Korean Patent No. 10-0996877 discloses a related art related to this, and discloses a plurality of air pollution measuring terminals for measuring air pollution degree by region. However, it is impossible to install air pollution measuring terminals in all areas, There is a problem that a lot of cost is consumed when the terminals are installed at densely spaced intervals.

Thus, the conventional air quality information service has a problem that the area for providing accurate air quality information is limited. In order to overcome this problem, it is necessary to install an air quality measurement sensor at every interval in every region. Therefore, there is a problem that a service providing air quality information is expensive and time consuming.

Accordingly, it is an object of the present invention to improve the range of the air quality information so that the user can receive air quality information of a specific area desired by the user.

To achieve the above object, according to the present invention, there is provided a communication system including a receiving unit for receiving measured data from a sensor installed to measure an atmospheric quality, a virtual sensor module for generating atmospheric quality data of a specific area using global- A correction module for generating corrected air quality data by correcting the air quality data of the specific area using the data, and a transmitter for transmitting the corrected air quality data to the user's terminal.

Preferably, the virtual sensor module according to the present invention divides the global quality of air quality data into atmospheric quality data of different spatial scales, And an operation unit for generating an atmospheric quality data of the specific area by using the atmospheric data. In this case, the operation unit can calculate air quality data of different spatial scales using a nesting method. In addition, the correction module can correct air quality data of a specific area using a deviation average correction technique.

The present invention also relates to a method for measuring air quality, comprising the steps of: receiving measured data from a sensor installed to measure air quality; generating air quality data of a specific area using global quality air quality data; And generating corrected air quality data by correcting the air quality data of the air quality data of the user and transmitting the corrected air quality data to the user terminal.

According to the present invention, there is an advantage that the range of providing the air quality information through the virtual sensor module is improved. In addition, there is an advantage that the user can receive air quality information of a specific area desired by the user.

1 shows an air quality information service system according to an embodiment of the present invention.
2 shows a process of generating air quality data of a specific area using the global quality of air quality data.
FIG. 3 shows a database of a correction module for an air quality information service and a three-dimensional matrix structure of a computational fluid analysis (CFD) according to an embodiment of the present invention.
4 illustrates a process performed by the correction module according to an embodiment of the present invention.
FIG. 5 shows how an air quality information service is provided through a web or a smart phone.
6 illustrates an air quality information service method according to an embodiment of the present invention.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings. However, the present invention is not limited to or limited by the exemplary embodiments. Like reference numerals in the drawings denote members performing substantially the same function.

1 shows an air quality information service system. Referring to FIG. 1, the air quality information service server 10 includes a receiving unit 102 for receiving measured data from a sensor 101 installed to measure the air quality, A correction module 105 for generating corrected air quality data by correcting the air quality data of the specific area using the measured data, and a correction module 105 for correcting the air quality data to the user's terminal And a transmitting unit 107 for transmitting the data to the base station.

The sensor 101 installed to measure the atmospheric quality measures carbon monoxide, sulfur dioxide, nitrogen oxides, fine particles, volatile organic compounds, etc., detects the concentration in the air for a short period (several seconds to several minutes) Data. Then, the receiving unit 102 receives the measurement data.

The virtual sensor module 103 divides the global quality of the atmospheric quality data into the atmospheric quality data of different spatial scales by using an input unit 1031 for receiving the global quality of the atmospheric quality data, And an operation unit 1033 for generating an atmospheric quality data of the specific area. In this embodiment, the virtual sensor module 103 may include a communication unit capable of communicating with a user using the air quality information service. The input unit 1031 may communicate with the user, Can be input. Hereinafter, a specific area means an area where a user wants to receive air quality information. The process performed by the virtual sensor module 103 will be described with reference to FIG.

Referring to FIG. 2, the input unit 1031 receives a global forecast system (GFS) model 211 as an initial input data to receive atmospheric quality data of a global range and grasp the atmospheric behavior of a macro scale Can be used. In this embodiment, the input unit 1031 receives the UTC standard 5-day air quality data provided by the National Operational Model Archive & Distribution System (NOMADS) data server of the National Oceanic and Atmospheric Administration (NOAA) You can automatically receive it at 30 minutes (05:30 UTC). The GFS model 211 is performed to produce data and a time delay 212 of about 5 hours occurs until the data is released to the Internet and it takes about 2 hours for the input unit 1031 to automatically download the data. (213)

The operation unit 1033 can calculate air quality data of different spatial scales using a nesting method. In more detail, the operation unit 1033 computes the magnitude of the atmospheric motion associated with the global-scale atmospheric movement and the number of the largest domains D1 (201), D1 (201) in the earth to simulate the movement and diffusion of the pollutants. D3 203 including the city map in D2 202, D4 204 including D3 city in D3, and D5 205 as a specific area of the city block size in D4 204, Global quality air quality data can be divided into air quality data of different spatial scales. In this case, the air quality data of the five different spatial scales are interconnected using the nestiong method, so that the behavior of the macro scale atmospheres and the behavior of atmospheric air at small scales Atmospheric chemical modeling can be performed.

The operation unit 1033 performs the air movement prediction model WRF when the data reception of the GFS model 211 of the input unit 1031 is normally completed. (214) In this embodiment, the air quality information service server 10) can be run every day. The model integration time can be 5 days (120 hours). When the modeling of the atmosphere is completed, a model (SMOKE) for calculating emissions by humans is performed. (215) The integration time is 120 hours, which is the same as the model execution time of the atmosphere and can take about 1 hour . Once the SMOKE has been completed, atmospheric chemistry modeling (CMAQ) starts and it takes about 13 hours to produce 5 days of air quality data through the CMAQ Chemistry-Transport Model (CCTM) process have.

In this embodiment, the arithmetic unit 1033 calculates east-west wind (U), north-south wind (V), vertical wind (W), and air temperature T) and turbulence kinetic energy (TKE). Then, the operation unit 1033 performs CFD modeling through computational fluid dynamics analysis (CFD) to produce the air quality data for 4 days (217), and this operation may take about 20 hours. In this way, the operation unit 1033 can generate the atmospheric quality data of a specific region through modeling using multi-scale atmospheric chemical modeling and CFD analysis.

3 shows the structure of the database 1051 of the correction module 105 for the air quality information service and the three-dimensional matrix structure of the computational fluid analysis (CFD). 3, the correction module 105 includes a database 1051 that integrates the measurement data received from the sensor 101 with the air quality data of a specific area, which is the output data of the virtual sensor module 103, .

The database 1051 of the correction module 105 may include sensor 101 data such as the name and the longitude and latitude of the sensor 101. [ More specifically, the database 1051 includes a SensorLocation table 312, a SensorType table 313, and a SensorHeight table 314.

The sensor data DB 321 is a repository for managing the actual sensor 101. When the sensor 10 is added, the sensor data DB 321 allows additional data to be stored in the sensor 101 while a table is additionally created. In this embodiment, when a sensor 101 is additionally registered in the SensorInfo DB 311, the name in the column of the locationName 315 of the added sensor 101 is additionally generated in the table 322 of the SensorData DB, Store information.

The CFD modeling DB 331 is a database for reprocessing, correcting, and then storing and managing the air quality data of a specific region generated through the process of FIG. The correction process will be described later with reference to FIG. In this embodiment, the CFD modeling DB 331 can save and manage the air quality data of a specific area at intervals of 5 minutes by reducing the weight. In this embodiment, weight reduction of air quality data of a specific area extracts only a few hundreds to several thousands of pieces of cell information including an area accessible to the people of the indicator among 150 * 150 * 76 matrix-sized cells (1,710,000 cells) It can be reduced in weight by storing and managing it in the CFD modeling DB 331.

The air quality data cell 341 of a specific area has the characteristics such as velocity component, pressure, and pressure disturbance in the XYZ direction, which are all properties of the atmospheric behavior and the pollutant diffusion concentration occurring in time in the three dimensional space of 1,500m * 1,500m * 958m , Temperature, CO, NOxm PM, and VOC are recorded in cells arranged in a matrix of 150 * 150 * 76 at intervals of 5 minutes. In this case, the size of one cell 342 is equal to 7 m to the 30 th floor in the vertical direction (343), and the height of the vertical direction cell can be increased by 1.1 x (from the 31 th floor to the 76 th floor). 344)

The correction module 105 can correct the air quality data of the specific region generated by the virtual sensor module 103 through the data measured by the sensor 10. [ This will be described with reference to FIG.

FIG. 4 conceptually illustrates a deviation average correction technique performed by the correction module 105. FIG. In this embodiment, the air quality data of the specific area 401 generated by the virtual sensor module 103 can be understood as the air quality data measured by a kind of virtual sensor (Virtual (CFD) sensor) 402. Accordingly, based on the data, a plurality of virtual sensors can be located on the specific area 401 with reference to the geographical location. In addition, a limited number of air quality measurement sensors 101 can be located on the coordinates with reference to the geographical location as a real installed sensor (Real (USN) sensor) 403.

The deviation average correction is performed by considering the value (V_real) of the pollutant concentration measured from the actually installed sensor 403 as a true value and correcting the value (V_virtual) of the pollutant concentration of the virtual sensor through an average of the deviations, The correction formula for generating the data (CV_virtual) is as follows.

In this embodiment, a table 421 relating to the concentration values of the five pollutants (CO, NO, PM, SO2, VOC) subjected to the deviation average correction may be output as a result, Format and can be stored and managed.

FIG. 5 shows how an air quality information service is provided through a web or a smart phone. Referring to FIG. 5, an air quality information service may be provided as a web 501. When the user accesses the air quality information website through a computer, the air quality information service provided to the web 501 may include a red air quality sensor 502 and a blue virtual sensor 503, And it can be confirmed that it is distributed. In this case, if the virtual sensor 504 of a specific area is clicked on, an information window 505 informing the five diffusion concentrations of contaminants with respect to the time at which the corresponding event occurs is popped up to confirm the air quality information.

The air quality information service system can be used through the service 511 via the smart phone. The air quality information and the (512) day change statistical table 513 for the position of the air quality measurement sensor 502 can be confirmed through the air quality information in the service 511 through the smart phone. In addition, the diffusion concentration 514 of the contaminant depending on the position of the virtual sensor 503 can be touched to receive information as the web service 501. When the air quality information service system is used as a service 511 through a smart phone, it can be integrated with a GPS provided by a smart phone so that the user can confirm the air quality information of the nearby surroundings in a standing or moving position without inputting the location. (515)

6 shows an air quality information service method. Referring to FIG. 6, an air quality information service method includes: (a) receiving measured data from a sensor installed to measure an air quality; generating air quality data of a specific region using global quality air quality data (b), (c) generating corrected air quality data by correcting the air quality data of the specific area using the measured data, and (d) transmitting the corrected air quality data to the user terminal . ≪ / RTI >

The step (b) of generating the atmospheric quality data of the specific area includes an input step of inputting the atmospheric quality data of the global scope, an operation of computing the atmospheric quality data of the global scope And an output step of generating the atmospheric quality data of the specific area by using the step and the calculated result.

The step (b) means a step performed in the virtual sensor module 103, and the inputting step is performed in the inputting part 1031, and the calculating step is performed in the calculating part 1033. The calculated air quality data of the specific area is sent to the database 1051 of the correction module 105. In addition, step (c) means a step performed in the correction module 105, and step (d) means a step performed in the transmission unit 107.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. will be. Therefore, the scope of the present invention should not be limited to the above-described embodiments, but should be determined by all changes or modifications derived from the scope of the appended claims and equivalents of the following claims.

10: air quality information service server 101: sensor
102: Receiver 103: Virtual sensor module
1031: input unit 1033:
105: Correction module 1051:
107: Transmitting section 201: D1 domain
202: D2 domain 203: D3 domain
204: D4 domain 205: D5 domain
211: Global Forecasting System (GFS)
212, 213: time delay
214: Atmospheric Behavior Prediction Model (WRF)
215: Model for calculating emissions by humans (SMOKE)
216, 217: air quality data of a specific area
341: Air quality data cell in a specific area
342: one cell 343, 344: cell spacing
401: Specific area 402: Virtual (CFD) sensor
403: Sensor (Real (USN) sensor) 421: Result table
501: Air quality information service web 502: Sensor (Real (USN) sensor)
503: Virtual sensor (Virtual (CFD) sensor)
504: Virtual sensor in a specific area 505: Information window
511: Service through Smartphone 512: Air quality information
513: Day change statistical table 514: Diffusion concentration of pollutants

Claims (8)

A receiver for receiving measured data from a sensor installed to measure air quality;
A virtual sensor module for generating air quality data of a specific area by using a result calculated by dividing the global quality of air quality data;
A correction module that generates corrected air quality data by correcting the air quality data of the specific area using the measured data; And
And a transmitter for transmitting the corrected air quality data to a user's terminal,
Wherein the correction module comprises:
And the air quality data of the specific area is corrected by averaging deviations between the value of the pollutant concentration measured by the installed sensor and the value of the pollutant concentration generated by the virtual sensor module.
The method according to claim 1,
An input unit for inputting the global quality air quality data, and
An air quality information service system including an operation unit that divides the global quality air quality data into atmospheric quality data of different spatial scales and generates an atmospheric quality data of the specific area by using the calculated result.
3. The method of claim 2,
Wherein the operation unit calculates the air quality data of the different spatial scales by using a nesting method.
delete (a) receiving measured data from a sensor installed to measure air quality;
(b) generating air quality data of a specific area by using the result calculated by dividing the global quality air quality data;
(c) generating corrected air quality data by correcting the air quality data of the specific area using the measured data; And
(d) transmitting the corrected air quality data to a user's terminal,
The step (c)
Wherein the air quality data of the specific area is corrected by averaging deviations between the value of the pollutant concentration measured in the step (a) and the value of the pollutant concentration generated in the step (b) Way.
6. The method of claim 5, wherein step (b)
An input step of receiving the global quality air quality data;
An operation step of dividing the global quality air quality data into atmospheric quality data of different spatial scales; And
And an output step of generating an air quality data of the specific area using the calculated result.
The method according to claim 6,
Wherein the computing step computes the air quality data of the different spatial scales using the nesting method and generates the air quality data of the specific area through computational fluid dynamics (CFD) analysis. Quality information service method.
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