KR101892999B1 - Method for generating weather data using cctv having ultrafine particle sensing funtion - Google Patents

Abstract

The present invention relates to a fine dust forecast data generation method using a CCTV camera having a fine dust concentration measurement function and a forecast system using the same which are linked CCTV camera with a fine dust concentration measurement function installed in a wide area, update fine dust component data values stored in the CCTV cameras and compared to fine dust concentration measurement values of the CCTV cameras at once by an integrated management system to measure fine dust and visibility distances without stopping the measurement function of the cameras in response to topography and climate or real-time natural environment or season changes of places where the CCTV cameras are installed, store various measurement values such as image information, humidity measurement values, and visibility distance measurement values of the CCTV cameras in a database of the integrated management system, and then combine the measurement values to analyze big data or analyze big data without storing the measurement values to generate fine dust concentration forecast data and a variety of weather information.

Description

TECHNICAL FIELD [0001] The present invention relates to a method for generating fine dust forecast data using a CCTV camera having a fine dust concentration measurement function, and a forecasting system using the same,

The present invention relates to a method of generating fine dust forecast data using a CCTV camera having a fine dust concentration measuring function, and more particularly, to a method of generating minute dust forecast data by using a CCTV camera in which a CCTV camera By collectively updating the fine dust component data stored in the CCTV camera against the fine dust concentration measurement value of the CCTV camera in response to the terrain of the place, climate, real-time natural environment or seasonal change, It is possible to measure the fine dust and the clearance distance without the occurrence of the accident, and various measurement values such as the image information of the CCTV camera, the humidity measurement value, the fine dust measurement value and the corrective distance measurement value are stored in the database of the integrated management system, Collectively analyze the big data or do not store it in the database Directly related to big data analysis by fine dust concentration predicted weather data and various information with CCTV cameras with fine dust concentration measurement ability to generate fine dust forecast data generation method and forecast system using him.

There are various suspended dusts having a diameter of 0.1 to 100 mu m in the atmosphere. Among them, dust having a size (diameter) of 2.5 mu m or less is classified as fine dust "PM2.5" Is classified into fine dust "PM10".

PM2.5 is known to penetrate deeply into the alveoli without being caught by the nasal mucosa when it is inhaled for a long period of time and is known to increase the early mortality rate together with asthma, allergic rhinitis, bronchitis, emphysema and alveolar damage. In the Ministry of Environment and local governments, In order to protect the micro dust, the fine dust measuring device is installed in a specific place to continuously detect the micro dust generation area, the generation time, and the concentration of the dust, and the related information In real time.

As of the end of December 2016, there are 11 types of air pollution monitoring network in Korea. There are 509 air pollution monitoring networks in 96 cities in the whole country. There are only 423 meteorological observatories that measure the concentration of fine dust in the air, except for the 86 meteorological observatories of meteorological and meteorological monitoring networks that do not have PM2.5 measurement capability.

As mentioned above, there are only 423 weather observation stations in the national air pollution-specific network that can measure PM2.5 and PM10. In December edition of the air environment report published by the National Institute of Environmental Research under the Ministry of Environment, The number of available weather stations is 256, and the number of PM2.5 available meteorological stations is only 175.

In the case of Seoul, it is one place in each ward office, and in the case of city army, it is placenta in one or two places.

In this reality, if a fine dust measurement CCTV camera capable of measuring PM2.5 and PM10 is installed in each neighborhood, it will be possible to produce future data by analyzing past data as time passes.

For reference, there is "KAQFS (Korean Air Quality Forecasting System)" which is the air quality forecasting system developed by Anyang University.

This system receives the data of RDAPS (Regional Data Assimilation and Prediction System) from the Korea Meteorological Agency and recalculates the 3D wind field in East Asia and the Korean peninsula using MM5 (Mesoscale Model 5) Ace-Asia) and domestic emissions (Ministry of Environment CAPSS Emissions) data using the SMOKE (Sparse Matrix Operator Kernel Emissions Modeling System).

(3km resolution), the Korean peninsula region (9km resolution), and the metropolitan area (3km resolution) by conducting the CMAQ (Community Multiscale Air Quality) ) Is a modeling system that predicts the air quality concentration including ozone and fine dust for 48 hours.

The above forecasting system has been in operation since 2007, and since 2010 weather information has been updated using WRF (Weather Research Forecasting), East Asia Emissions (INTEX-B) and Domestic Emissions (2007 CAPSS).

 The numerical system is built on a Linux-based PC-cluster system, and the forecast results are updated twice a day (5:00 am and 3:00 pm) every day in Korea.

The forecasts are generated information about fine dust (PM10), ultrafine dust (PM2.5), ozone (O3), and nitrogen dioxide (NO2).

The above system has a problem that it can not approach the real-time emission amount in Korea because it is based on the East Asian emissions of fine dust and the domestic emissions calculated by the Ministry of Environment.

On the other hand, the inventor of the present invention has filed a patent application (10-2017-0117685) for a CCTV camera having PM2.5 and PM10 fine dust concentration and correcting distance measuring function.

The patent application technology invented by the present inventor proposes a method of verifying the validity of the measurement value measured by the fine dust sensor built in the CCTV camera through the humidity measurement value of the field again, If the measured value of the fine dust concentration is converted into the correction value and then the value is used as a valid measurement value when it is within a certain range of the comparison correction distance value, the error of the fine dust measurement value can be reduced or the land accuracy can be increased And the like.

However, when the fine dust concentration value is converted into the visibility distance value in the CCTV camera, the fine dust component data (hereinafter referred to as "fine dust component data") stored in advance in the memory of the CCTV camera is updated frequently In this case, it is necessary to update CCTV cameras installed in a wide area or update them directly on the site where CCTV cameras are installed, and it is troublesome to install them again.

As a result, there is a problem that real-time atmospheric quality information can not be measured in response to a rapid change in the atmospheric environment due to the operation time.

On the other hand, as a system for collecting / analyzing fine dust sensor data and providing information to a user, there is disclosed in Korean Patent Publication No. 10-2010-0118729.

This system (Unexamined Patent Application Publication No. 10-2010-0118729) is difficult to predict the concentration of fine dust by analyzing the sensing data and the satellite image to predict the atmospheric environment.

The present invention was conceived to solve all the problems presented in the above-mentioned CCTV camera having PM2.5 and PM10 fine dust density and corrective measurement functions and in the patent document 10-2010-0118729, The present invention is proposed through the present invention.

The object of the present invention is to provide a method and apparatus for measuring the concentration of fine dust in a CCTV camera in response to the topography, climate, real-time natural environment, or seasonal variation of each CCTV camera, It is possible to measure fine dust and correct distance without stopping the fine dust measurement by collectively updating the fine dust component data stored in the CCTV camera through the integrated management system, Value, fine dust measurement value, and corrective distance measurement value are stored in a database of the integrated management system, and then they are combined to perform a big data analysis without big data analysis or a database, A method of generating weather information and using it Intended to provide a forecast of the system.

As means for implementing a method of generating fine dust forecast data using a CCTV camera having a fine dust concentration measurement function according to the present invention,

In step (1), the integrated management system receives real-time fine dust component data from an agency or a weather station that manages the air pollution measurement network and stores the data in an integrated server.

In the step (2), the integrated management system transmits fine dust component data collected in real time to a fine dust concentration measurement CCTV camera by communication;

In step (3), the fine dust concentration measurement CCTV camera updates the fine dust component data transmitted from the integrated management system to a record of the fine dust component comparison table in the camera;

In step (4), the fine dust concentration measurement CCTV camera verifies the fine dust concentration measurement value using the fine dust component comparison table, integrates the verified fine dust concentration value, the visibility distance value, and the humidity value with the measurement time Transmitting to the management system by communication;

In step (5), the integrated management system receives the fine dust concentration value, the correction value, the humidity value, and the measurement time data from the fine dust concentration measurement CCTV camera and stores the data in a specific table of the integration server. Collecting wind direction and wind velocity and other weather information related data information of a corresponding area from an engine or a weather station in real time and storing the same in a specific table of the integration server;

In step (6), the integrated management system programs the micro dust concentration value, the correction value, the humidity value, the measurement time, the wind direction value, the wind speed value, and other related data, ;

(7), the integrated management system verifies whether the generated fine dust concentration prediction data is valid, and stores only valid data in the integration server;

In step (8), the integrated management system may be implemented as a step of transmitting stored real time fine dust concentration, corrective distance information, and fine dust concentration prediction data to a connection user or an information providing requester.

Since the integrated management system collects and transmits the fine dust component data in real time to the camera, it is very easy to update the records of the fine dust component table, so that the fine dust measurement value and the corrective distance measurement value Can be obtained.

Further, the present invention can apply and utilize image information, humidity measurement value, fine dust measurement value, and corrective distance measurement value of a CCTV camera by building an integrated air quality management network based on general-purpose CCTV cameras installed in a wide area, It is also possible to provide various weather information services. In addition, the integrated management system collects the wind speed, direction and other weather information of the area where the CCTV camera is installed, collectively analyzes the big data, It is possible to generate three-dimensional fine dust prediction data such as a moving direction.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram illustrating a detailed configuration of a CCTV camera having a fine dust concentration and a corrective distance measurement function according to the present invention;
2 is a flow chart of a central processing unit according to the present invention,
3 is a block diagram illustrating a detailed configuration of a CCTV camera system having a fine dust density and a corrective distance measurement function according to the present invention,
4 is a flowchart illustrating a process of the integrated management system according to the present invention.

Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings.

The CCTV camera defined in the present invention means a camera 100 having a function of measuring a fine dust concentration, and is invented by the present inventor and pending as a patent application No. 10-2017-0117685. In order to enhance the understanding of the present invention, the main structure described in the above patent application will be described below.

The CCTV camera 100 described above includes a micro-dust measuring unit 101, a humidity measuring unit 102, a laser beam transmitter (hereinafter referred to as "humidity measuring unit 102 " (Hereinafter referred to as "image pickup section 121") for detecting a light amount of the laser beam from the image information photographed by the image pickup section 121, (Hereinafter referred to as "data storage unit 104") for storing the image information and the measurement values of the respective measurement units, (Hereinafter, referred to as "central processing unit 200") having a control logic for programmatically comparing and judging the measured values of the measurement units, a processor for transmitting / receiving data and control signals to / (Hereinafter referred to as "housing 100a") including a communication device (hereinafter referred to as "transfer unit 103 & All.

The housing 100a may be fixedly installed on a street, street lamp, overpass, steel tower, building, and various road structures (hereinafter referred to as "outdoor structure").

The fine dust measuring unit 101 is installed in the housing 100a, and its detailed configuration is similar to that described in Japanese Patent No. 10-1519974.

However, the fine dust measuring unit 101 of the present invention is characterized by simultaneously measuring and outputting PM 2.5 and PM 10.

The fine dust measurement value measured by the fine dust measurement unit 101 is transmitted to the central processing unit 200 described later in real time.

The humidity measuring unit 102 is attached to the outside of the housing 100a to measure humidity in the air and the measured humidity measurement value is transmitted to the central processing unit 200 upon request of the central processing unit 200. [

The laser beam transmitting unit 111 is a device 110 for scanning a laser beam into the atmosphere in order to detect a correcting distance and has a beam transmission controlling unit 112 for controlling whether or not to scan the laser beam and is directed toward the housing 100a And is fixedly installed to an outer structure adjacent to the housing 100a.

The width of the beam irradiated from the laser beam transmitting unit 111 is about 1 inch and is spaced apart from the housing 100a by about 1.5 m.

The beam transmission control unit 112 controls whether or not the laser beam transmission unit transmits a beam according to a control signal of the central processing unit 200.

The image capturing unit 121 is installed in the housing 100a and includes an automatic preset, an automatic iris control, an image sensor, a zoom lens 124, a zoom lens zooming driver (Not shown in the figure), an infrared ray bandpass filter (not shown in the figure), an image pickup unit pen / tilt driver (not shown in the figure), and a pen / tilt controller 126).

The zoom lens 124, the zoom lens control unit 125, the polarizing lens, and the infrared band-pass filter described above are integrated in the lens 123 assembly.

The zoom lens driving unit (not shown in the figure) physically actuates the zoom-in / out function of the zoom lens in order to enlarge image information. The image capturing unit pen / The pen / tilt controller 126 of the CCTV camera controls the photographing angle by rotating the angle of the image photographing unit 121 up and down and right and left. The pen / Refers to a circuit control device for electrically controlling the operation of the pen / tilt driver 122 described above.

The image capturing unit 121 is rotated in the horizontal direction under the control of the pen / tilt control unit 126. When the image capturing unit 121 is aligned with the laser beam transmission unit 111, A sensing signal of a position sensing sensor (not shown in the drawing) is transmitted to the central processing unit 200 and is maintained in a fixed state for a predetermined time set in the image sensing unit 121.

The polarizing lens is an optical filter installed between the zoom lens and the image sensor of the camera and capable of selectively transmitting the scattered light of the laser beam irradiated by the laser beam transmitting unit 111.

In addition, the infrared band-pass filter described above allows only the wavelength band of the laser beam to pass through and blocks the wavelengths of the other upper and lower bands, so that the image sensor can effectively receive the forward scattered light of the laser beam.

The image analyzer 130 detects the amount of scattered light of the laser beam on the image information (screen) transmitted through the polarizing lens (not shown in the figure) and the infrared bandpass filter, and substitutes the detected value into the correction calculation formula And calculates the corrected distance measurement value and transmits the calculated corrected distance measurement value to the central processing unit 200.

The data storage unit 104 is a semiconductor memory that stores measurement values and date information of each of the measurement units.

The transmission unit has a unique IP and is a communication device that transmits and receives various data and control signals between the central processing unit 200 and the external network.

At the same time, the central processing unit 200 compares the fine dust measurement value with the fine dust reference value by the control logic of the program, and determines the zoom lens control unit 125, the pen / The control unit 126 controls the beam transmission control unit to selectively control the fine dust measurement value by verifying the validity of the fine dust measurement value by integrating the humidity measurement value and the corrective distance measurement value, And stores it in the data storage unit 104 and transfers it to the transfer unit 103 at the same time.

The housing 100a is fixed to an outdoor fixture. The housing 100a includes a fixing part (not shown in the figure) and a rotation part (not shown in the figure) The measuring section 102 is provided, and the rotary section is rotatably coupled with the stationary section, and the above-described image pickup section 121 is installed therein.

Hereinafter, the measuring method of each measuring unit described above will be described.

The details of the fine dust measuring unit 101 and the measuring method are disclosed in a well-known patent publication No. 10-1519974, and a detailed description thereof will be omitted.

However, as described above, PM2.5 and PM10 are measured and output simultaneously.

The humidity measurement unit 102 may be any digital humidity measurement sensor including an atmospheric humidity measurement range.

The corrective distance measurement value may be derived by the laser beam transmission unit 111 and the image analysis unit 130.

When the laser beam is irradiated by the laser beam transmitting unit 111, the irradiation direction is irradiated (inclined) at a predetermined angle without irradiating the beam to the front face of the thermal imaging unit.

In this case, when the image capturing unit 121 enlarges and photographs the region irradiated with the laser beam, only a partial section of the irradiated region of the scattered light can be partially photographed.

Therefore, the scattered light photographed appears in a vertical direction at the center of the image information. The light intensity of the beam is detected by the image analyzer 130 in the image information, and the reflected light is substituted into the calculation formula described later. . The derived corrective measurement value is transmitted to the central processing unit 200.

In this case, the wavelength of the laser beam is separated from the visible light and is within the measurement range of the image sensor of the camera, and it is preferable to determine the range in which scattered light of a particle having a maximum diameter can be obtained.

In this way, as described above, the output of the scattered light can be maximized and the accuracy of the image analysis can be improved, and the error range can be reduced or at least minimized when analyzing the image frame.

Preferably, the wavelength of the laser is in a range of 850 to 905 nm, and the transmission pulse period of the laser beam is set to 1/3 times the frame or field period of the camera.

This ensures that at least one of the three frames or fields of the camera is within the transmit pulse period of the laser beam, so that the detection of the scattered light of the complete laser beam is certain.

The method of calculating the corrective distance measurement value will be described in more detail below.

The central processing unit 200 determines whether the fine dust measurement value is an abnormality by comparing the fine dust measurement value with the fine dust reference value. The fine dust reference value is determined by the environment department And is programmed into the control logic of the central processing unit 200 based on four steps.

Table 1 summarizes the concentration of fine dust and step-by-step action points set by the Ministry of Environment.

 division Fine dust concentration value (占 퐂 / m3)  Action Tips PM2.5 PM10 good  0 to 15 0 to 30 - usually  16 to 50 31 ~ 80 -     Poor Poor

51-100  81-120 Long-term outdoor activities of older people Poor  121 ~ 200 Request for restrained extreme outdoor activities (especially respiratory, cardiovascular, and elderly), avoiding excessive outdoor activities for a long time Very bad  101 to 500  151 ~ 600 Restricting outdoor activities, restricting outdoor activities danger  301 ~ 301 ~ Limited to Indoor Activities

The central processing unit 200 determines that the PM2.5 and PM10 measured values measured by the fine dust measuring unit 101 satisfy PM10 > PM2.5, and the measured values are within 75% , The fine dust sensing value is continuously received and compared with the fine dust reference value (see FIG. 2 (a)).

When the humidity is more than 75%, the inorganic salt (nitrate, sulfate) among the constituents of the fine dust particles tends to precipitate due to the binding with moisture, so that the measurement value of the fine dust tends to be drastically lowered. The data is allowed as data using only a general data validity determination method.

On the contrary, when the humidity is 75% or less and the fine dust measurement value is out of the reference value range, the central processing unit 200 controls the pen / tilt control unit 126 to rotate in a direction opposite to the laser beam transmission unit 111 When the operation of the pen / tilt driver 122 is stopped through the pen / tilt controller 126 by the sensing signal of the position sensor and the image capturing unit 121 rotates the image capturing unit 121, And is fixed to face the portion 111 (see Fig. 2 (b)).

Thereafter, the central processing unit 200 controls the zoom lens driving unit to zoom in on the zoom lens so that the zoom lens can take an enlarged image, and at the same time controls the beam transmission control unit so that the laser beam is irradiated from the laser beam transmitting unit 111 (C in Fig. 2).

The reason for zooming in on the zoom lens is to magnify the scattered light region of the laser beam so that the image analyzer 130 detects the amount of scattered light in the image information (background screen) .

The scattered light region is transmitted through the polarizing lens and the infrared band-pass filter, is captured by the image sensor, converted into an electric signal, and transmitted to the image analysis unit 130.

The image analyzing unit 130 detects the value of the scattered light, substitutes the detected value into the calculation formula to calculate the corrected distance value, and transmits the calculated value to the central processing unit 200 (see FIG. 2 (d)).

At this time, it is preferable to keep the F value of the diaphragm at a constant value so that the light amount change due to the fluctuation of the diaphragm does not occur at every measurement. The value of the acid light intensity can be calculated by the following equation.

Lv = Visibility = 3.912 / bext ---------------- Equation (1) [Koschmieder's visibility theory]

Ix = Io exp (-bext x) - (2) [Theory of Beer]

[Explanation of formula]

bext: extinction coefficient

Io: intensity of light source

Ix: intensity of light after proceeding the optical path

x: Path distance of light

The extinction coefficient is related to the intensity of light as it travels through the atmospheric path x [m].

Therefore, the extinction coefficient and the visibility can be measured by knowing the intensity Io of the light source and measuring the intensity Ix of the light after traveling the path x [m].

In general, non-scattering occurs when the particle size is similar to the wavelength of light and reacts to the density, size and shape of the particles. Non-scattering is almost independent of wavelength, and this is where water vapor, ice pellets, soot, etc. collide with light. Non-scattering is pronounced in forward scattering, and relatively small energy is scattered backward.

The central processing unit 200 converts the fine dust measurement value and the humidity measurement value into a conversion program (visually converted value) and compares the fine dust measurement value and the humidity measurement value with the corrected distance value to determine the validity of the fine dust measurement value e).

When the central processing unit 200 determines that the fine dust measurement value is valid, the data value (fine dust measurement value, corrected distance measurement value, humidity measurement value, measurement time) is stored in the data storage unit and transmitted to the transmission unit (Discard) if the validity is denied.

Hereinafter, the process of the central processing unit in the fine dust measurement according to the present invention will be described.

In addition to the above-mentioned equations (1) and (2), there are the following relational expressions.

Lv [km] = A.10 ³ / C --------------------------------------- -------- Equation (3)

  A: Experimental constant, usually 1.2 (0.6 to 2.4)

C: Concentration of particulate matter [ug / m ³ ]

  Condition: Relative humidity 70%

As another method of calculating the correcting distance based on the other dispersion area ratio K

Vm [m] = 5.2 pr / KC ----------------------------------------- --- (4)

Condition: - Applied when the wavelength is 5240 Å

      - Light extinguishing depends only on dispersion

      - All spherical uniform distribution

      - Particulate matter concentration / 70% relative humidity / horizontal lighting schedule

 Vm: Visibility distance [m]

P: Density of dust [g / cm ³ ]

 r: the radius of the dust

 K: dispersion area ratio (for example, 4.1)

C: Concentration of dust [g / m ³ ]

As another method of calculating the distance, chemical components that cause mobility impairment are classified into primary and secondary air pollutants according to the generation process.

The primary air pollutants are elemental carbon, fine soil particles and NO2 gas, and the secondary air pollutants are ammonium sulfate, ammonium nitrate, and organic matter.

In the results of the IMPROVE institute, the chemical composition was calculated by dividing the particles causing the visibility disorder into fine particles of less than 2.5 μm and coarse particles of less than 10 μm depending on the particle sizes.

In the present invention, IMPROVE (1998), INS95 (1996) and Kim et al. (1998) have been proposed in the National Institute of Environmental Research (2013), a study on the visibility characteristics for improving indoor air pollution degree and the National Academy of Sciences (2001), and the relationship between chemical composition and chemical composition was calculated as follows.

bext = 0.91 x (3xNHSOx (1 -RH / 100) -0.7) + 1.34x (3xNHNOx (1-RH / 100) -0.7) + 1.06x (4xOMCx (1-RH / 100) -0.4) + 0.98x ( 10xEC) + 1x (2xFS) + 1x (0.6xCM) + 153.53 ----------------------------------- ----------------------------------- Equation (5)

Table 2 shows the compositional relationship of aerosol compounds.

  bext: extinction coefficient, NHSO: ammonium sulfate, NHNO: ammonium nitrate

  OMC: organic matter, FS: fine soil, CM: coarse particle

  EC: elemental carbon

The extinction coefficient of Equation (5) is substituted into Equation (1), the Koschmieder's equation, to calculate the corrective distance.

As another method of calculating the correcting distance

PM10 = 1023 exp (-0.17 VIS) ---------------------------------------- Expression 6)

VIS = 5.882 In (1023 / PM10) --------------------------------------- Expression 7)

The above equation is a relational expression of the paper of the Korean Meteorological Society (2012, Atmospheric Vol. 22, No. 1, A Study on Estimation of Fine Dust Concentration in Yellow Sand Using Visible Data).

The relationship between municipalities and PM10 in the meteorological data of 2005 ~ 2010 is derived by conversion formula.

It is not applicable at over 1023 ㎍ / ㎥, but it can be used as a routine comparative conversion equation.

As another method for calculating the correcting distance,

[Seoul city area correction formula]

VIS = 893 / (bext - 75) ---------------------------------------- (8)

[Baekryeongdo area correction formula]

VIS = 509 / (bext - 87) ---------------------------------------- (9)

The above equations (8) and (9) show the light scattering coefficient and the absorption coefficient of 2012 and the visibility data of the mock by the National Institute of Environmental Research (2013, Study on the characterization and generation process of fine dust- Is a visibility relation derived from the above.

Equations (1) and (2) are applied mainly to optical scattering measurement, and Equation (3) and Equation (5) are applied when converting the values of fine dust concentration or each component in fine dust into visibility distance . Also, Equations (6) and (7) can convert the corrected value of the corrected value of visibility into the value of fine dust, and convert the fine dust concentration value into the corrected value.

Equations (8) and (9) can be transformed by substituting the extinction coefficient, which is the result of Eq.

[Example]

Fine dust sensor Measured value: PM2.5 = 83 / / m3, PM10 = 125 / / m3

Measured value: 6km

Humidity value: 60%

Comparison table stored value: see Table 3

PM2.5 / PM10 ratio PM10 PM2.5 NHSO NHNO OMC EC FS RCM 0.66 120 80 27.2 24.7 11.2 3.0 25.6 106 25.66% 23.3% 10.57% 2.83% 24.15%

[Step 1]

Compares the value of PM2.5 above the reference (usually less than 50 ㎍ / ㎥).

If the PM2.5 / PM10 ratio is 0.3 or less, calculate the corrective distance with the value of PM10 because the dust is yellow, and if the PM2.5 / PM10 ratio is 0.3 or more and 0.7 or less, Or PM10 mixed application, applying the calculation formula "Equation (5)"

If the ratio of PM2.5 / PM10 is 0.7 or more, it is calculated as PM2.5 because it is long-distance haze and urban haze (formula (5) or (8) or (9)).

[Step 2]

If it is above the upper limit, the data stored in the corresponding table of the data storage unit approximating the fine dust sensor measurement value is found and converted into a value to be applied.

PM2.5 / PM10 ratio PM10 PM2.5 NHSO NHNO OMC EC FS RCM 0.66 125 83 28.22 25.63 11.62 3.11 26.56 110 1.0375 25.66% 23.3% 10.57% 2.83% 24.15%

[Step 3]

The value of [step 2] is substituted into equation (5) to calculate extinction coefficient.

bext = 0.91 x (3xNHSOx (1 -RH / 100) -0.7) + 1.34x (3xNHNOx (1-RH / 100) - 0.7) + 1.06x (4xOMCx (1-RH / 100) -0.4) + 0.98x ( 3x28.22x (1-60 / 100) ^-0.7 ) + 1.34x (3x25.63x (1-60 / 100) ^-0.7 ) + 1x (2xFS) + 1x (0.6xCM) + 153.53 = 0.91 x 1.06x (4x11.62x (1-60 / 100) ^-0.4 ) + 0.98x (10x3.11) + 1x (2x26.56) + 1x (0.6x42) + 153.53 = 146.3 + 195.7 + 71.1 + 25.2 = 521.9 Mm ^-1 = 0.5219 km ^-1

[Step 4]

If the value of [step 3] is substituted into equation (1)

Lv [km] = 3.912 / bext [km ^-1 ] = 3.912 / 0.5219 [km ^-1 ] = 7.5 km

[Step 5]

If the value of [Step 4] falls within the range of ± 30% of the measured value, it is accepted as normal data.

-30% = 4.2km <7.5km <+ 30% = 7.8km, which is acceptable as normal data.

The corrected distance value can be obtained by selectively adopting the above-described corrected distance calculation method.

Hereinafter, a method of generating fine dust forecast data in conjunction with the above-described CCTV camera and a forecasting system using the method will be described.

The processing of the integrated management system disclosed in the above-mentioned present invention will be summarized with reference to FIGS. 3 and 4 attached hereto.

In step (1), the above-described integrated management system receives real-time fine dust component data from an agency or an air station that manages the air pollution measurement network and stores the transmitted data in a database of the integration server )do.

The integrated management system 300 includes a CCTV camera 100 management function (control, search, storage, monitoring, network management, image management functions and the like) and an integration server 310, (Not shown in the drawing) and a communication interface module (not shown in the drawings) for communicating with the communication interface (not shown in Fig. 1, Fig. 1).

Accordingly, the integrated management system 300 can selectively and wirelessly communicate with a specific CCTV camera 100 through a unique IP of a transmission unit of each CCTV camera 100.

In addition, the integrated management system 300 receives the fine dust component data from the municipality or the other region's air pollution measurement network (there are 11 types), the weather station or the weather information management agency in real time through the communication device, And transmits the stored data to the fine dust measuring CCTV camera 100 and transmits the measured data measured by the fine dust measuring unit 101 of the camera 100 to the transmitting unit 103, Fig. 1).

In step (2), the integrated management system 300 transmits the fine dust component data stored in the integration server 310 to the fine dust concentration measurement CCTV camera through the communication unit and the transmission unit.

In step (3), the CCTV camera 100 updates the fine dust component data transmitted from the integrated management system 300 in real time by updating the record value of the fine dust component comparison table in the CCTV camera 100 do.

The CCTV camera 100 receives the measured fine dust concentration value measured by the fine dust measuring unit 101 (see FIG. 1) through the updated data, as described above, for its validity.

That is, when the measurement value of the fine dust density is higher than the existing value, the fine dust density measurement value is converted into the corrective distance value using the equation (any one of the formulas) that calculates the value of the fine dust component table described above, The measured fine dust concentration value is compared with the measured time distance value, and the verified fine dust density value is stored in the data storage unit 104 (see FIG. 1) And the humidity value and the measurement time information (data) to the integrated management system 300 through the transmission unit 103 (see FIG. 1).

In step (4), the CCTV camera 100 verifies the fine dust concentration measurement value using the fine dust component comparison table, integrates the verified fine dust concentration value, the visibility distance value, the humidity value, and the measurement time To the system (300).

In step (5), the integrated management system 300 receives the fine dust concentration value, the visibility distance value, the humidity value, and the measurement time data from the CCTV camera and stores the data in a specific table of the integration server. Wind direction and other weather data related information of the corresponding region from a management organization or a weather station in real time and stores it in a specific table of the integration server.

In step (6), the integrated management system 300 analyzes the big data by using the stored minute dust concentration value, the correction distance value, the humidity value, the measurement time, the wind direction value, the wind speed value, And generates density prediction data.

The integrated management system 300 stores data (fine dust concentration value, visibility distance value, humidity value and measurement time information) transmitted from the CCTV camera 100 in a specific table so as to be structured in a specific database of the integration server 310 Wind speed and other related data are received in real time from an air pollution measurement network or a weather station of each local government and stored in a database as described above to integrate the above data to generate fine dust concentration occurrence information, Analyze the data.

For example, if the distance between each CCTV camera 100 is dense and the measured values of the fine dust concentration measured by the CCTV camera 100, the wind direction, the wind speed, and the atmospheric pressure data are collectively analyzed, You can predict the direction of your progress.

Therefore, the big data analysis by the integrated management system 300 can be performed by setting the installation interval, the position information, the fine dust concentration and the wind direction, the air velocity, the air pressure arrangement, and the temperature of each fine dust measurement CCTV camera 100 Conditions, and the like, so that fine dust prediction data can be generated.

In addition, the prediction information after 24 hours will use the regional forecasting model of the Korea Meteorological Agency and the East Asian emission data from other agencies (weather information management agency, weather observation station, weather information related organizations of the local governments, etc.) It is possible to produce reliable weather information.

In step (7), the integrated management system verifies whether the generated fine dust concentration prediction data is valid, and stores only the valid data, which is verified, in the integration server.

Since the fine dust forecast data produced by the big data analysis of the integrated management system 300 described above is verified beforehand as described above, since the valuable fine dust density measurement value is stored in the integration server 310, The occurrence information is undoubtedly reliable and can also provide the requester with reliable information regarding the generation of fine dust.

In step (8), the integrated management system transmits stored real time fine dust concentration, corrective distance information, and fine dust concentration prediction data to a user (user) or an information providing requester.

Meanwhile, in the above-described step (5), the integrated management system receives the fine dust concentration value, the visibility distance value, the humidity value, the measurement time data from the CCTV camera 100 and the wind direction and the wind direction transmitted from the above- Wind speed and other weather data can be analyzed by the integrated management system directly through the program algorithm without storing it in the integrated server and the fine dust concentration prediction data can be generated.

In other words, the real-time concentration of PM2.5 and PM10 and its related three-dimensional prediction information can be obtained through a CCTV camera equipped with a fine dust measurement function distributed in a wide area, for example, fine dust source detection, Dust density forecasting, and so on.

The predicted weather data generated by the integrated management system described above can be variously designed in the form of the data, the complexity of the data, and the interpretation (analysis) method of data in a form desired by the user who uses the predicted weather data. .

INDUSTRIAL APPLICABILITY As described above, the present invention can simultaneously measure the fine dust concentration and correctness of PM2.5 and PM10 in real time, and verifies mutual measurement values, so that reliable measurement information can be applied and utilized variously , It is possible to generate microscopic dust concentration occurrence information in three dimensions in real time and to predict accurate information.

100: CCTV camera 100a: camera housing
101: Fine dust measuring unit 102: Humidity measuring unit
103: Transmission unit 104: Data storage unit
110: Laser transmitting device 111: Laser beam transmitting part
121: image capturing unit 122: pen / tilt driver
123: lens assembly 124: zoom lens
125: zoom lens control unit 126: pen / tilt control unit
130: Image analysis unit 200: Central processing unit
300: Integrated Management System 310: Integrated Server

Claims (2)

A zoom lens driving control section for controlling whether the zoom lens is driven; and an image sensor for converting the photographed image information into an electrical signal, wherein the scattered light of the laser beam is photographed, A zoom lens assembly for fixing a diaphragm and zooming in the zoom lens to the maximum to photograph the scattered light of the beam;
A housing in which the image pickup unit is installed and fixed to an outdoor structure;
The wavelength of the laser beam is 850 to 905 nm. The transmission pulse period is irradiated with a laser beam at 1/3 times of the frame period or the field period of the camera, so that the laser beam can be transmitted toward the housing. A laser beam transmitter having a laser beam transmitter and a beam transmission controller for controlling whether the laser beam transmitter is driven;
A polarizing lens and an infrared band-pass filter provided on the front surface of the zoom lens for selectively transmitting the laser beam, and an image analyzing unit for analyzing the light amount of the laser beam from the image information transmitted through the polarizing lens and the infrared band- An image analysis unit for calculating a corrected measurement value and transmitting the calculated corrected measurement value to a central processing unit;
A rotation unit coupled to the image capturing unit to rotate the image capturing unit vertically and horizontally, and a rotation unit controller for controlling whether the rotation unit is driven by the control of the central processing unit, and a driving unit installed in the housing;
A fine dust measuring unit installed in the housing for calculating a fine dust measurement value and transmitting the measured value to a central processing unit;
A humidity measuring unit attached to the outer wall of the housing to measure a humidity of the outside of the housing and transmit a measured humidity value to a central processing unit when requested by the central processing unit;
And the fine dust measurement value is compared with the fine dust reference value and the determination information is selectively transmitted to the transmission unit while the monitoring area is photographed through the CCTV camera. When the fine dust measurement value is larger than the reference value, And controls the beam transmission control unit to emit a laser beam from the laser beam transmitter, receives the emitted beam, and transmits the beam through a polarizing lens, an infrared bandpass filter, and a zoom lens The microscopic dust measurement value and the visibility measurement value, if valid, are determined through the visual measurement value and the humidity measurement value, which are obtained by analyzing the scattered light amount of the beam through the image analysis unit, Is stored in the data storage unit and transmitted to the transmission unit, and conversely, And a central processing unit for controlling the rotating device control unit to control the image capturing unit so that the monitoring target area can be photographed again if there is no property of the CCTV cameras.
The integrated management system comprises the central processing units as an integrated control system,
The method comprising the steps of: receiving fine dust component data from an organization or an aeronautical observing station that manages an air pollution measurement network in real time and storing the data in an integrated server;
Transmitting the fine dust component data collected in real time to the CCTV camera by communication;
Wherein the CCTV camera updates fine dust component data transmitted from the integrated management system to a record value of a fine dust component comparison table in the camera;
The CCTV camera verifying the fine dust concentration measurement value using the fine dust component comparison table, transmitting the verified fine dust concentration value, the visibility distance value, the humidity value, and the measurement time to the integrated management system;
The CCTV camera receives the fine dust concentration value, the visibility distance value, the humidity value, and the measurement time data from the CCTV camera and stores the data in a specific table of the integration server. The air pollution measurement network management agency or weather observation station receives the wind direction, Collecting related information in real time and storing the collected information in a specific table of the integration server;
Programmatically analyzing the micro dust concentration value, the corrected distance value, the humidity value, the measurement time, the wind direction value, the wind speed value, and other related data to generate fine dust concentration prediction data;
Verifying whether the generated fine dust concentration prediction data is valid and storing only valid data in the integration server;
And transmitting the stored real time fine dust concentration, corrective distance information, and fine dust concentration prediction data to a connection user or a requester. delete

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