KR102418064B1 - Method and Apparatus for Three Dimension Cloud Visualization Using Meteorological Data - Google Patents

Abstract

The present invention relates to a three-dimensional cloud visualization method and apparatus using meteorological data, comprising the steps of: an electronic device collecting weather data; Generating a ground surface map for the corresponding area, the electronic device generating a three-dimensional cloud image corresponding to the corresponding area, and the electronic device generating a visualization image by combining the ground surface map and the three-dimensional cloud image, Other embodiments are also applicable.

Description

Method and Apparatus for Three Dimension Cloud Visualization Using Meteorological Data

The present invention relates to a three-dimensional cloud visualization method and apparatus using meteorological data.

Clouds are important meteorological factors that reflect or absorb solar radiation, absorb and emit Earth's radiation, and change the state of the atmosphere, and play an important role in the atmospheric and hydrological cycle. These cloud characteristics and spatial distribution are essential meteorological information in various studies using cloud characteristics and artificial expansion (right) experiments for weather control.

In this artificial expansion (right) experiment, a seeding material such as calcium chloride, which is a hygroscopic material, is sprayed on warm clouds to develop the clouds, and a seeding material such as silver iodide, which acts as an ice nucleus, is sprayed on cold clouds to develop the clouds. generate precipitation. To this end, currently, the seeding material is sprayed on the clouds using a flying vehicle such as a weather aircraft, an unmanned aerial vehicle, a rocket, or a drone. And check the horizontal and vertical distribution information about whether the seeding material is sprayed at the appropriate target point and altitude position before, during, and after the artificial expansion (right) experiment.

In order to confirm the results of the artificial expansion (right) experiment, users can intuitively grasp the characteristics and spatial distribution of clouds because data such as satellite, ground observation, and numerical models, which are mostly two-dimensional surface data, are used in the prior art. There is a problem that is difficult to do.

Embodiments of the present invention for solving these conventional problems are meteorological data that can intuitively check the seeding path and clouds of aircraft including meteorological aircraft, unmanned aerial vehicles, rockets, and drones by visualizing clouds in three dimensions using meteorological data. It is to provide a three-dimensional cloud visibility using data and a method and apparatus.

A three-dimensional cloud visualization method according to an embodiment of the present invention includes the steps of: collecting, by an electronic device, weather data; receiving, by the electronic device, area-of-interest information from the outside; generating a ground surface map for an area, the electronic device generating a 3D cloud image corresponding to the corresponding area, and generating a visualization image by combining the ground surface map and the 3D cloud image by the electronic device It is characterized in that it comprises a step.

In addition, the step of collecting the meteorological data is characterized in that it is a step of collecting the meteorological data including the vertical relative humidity and temperature data including the numerical model and the satellite data.

In addition, the step of receiving the region of interest information is a step of receiving the region of interest information including latitude, longitude and altitude information for visualizing the 3D cloud and the time for visualizing the 3D cloud, characterized in that do.

In addition, the generating of the ground surface map includes generating elevation data corresponding to the latitude and longitude included in the region of interest information by using the altitude data of the numerical elevation model, and a two-dimensional ground surface corresponding to the latitude and longitude. It characterized in that it comprises the step of calling a map image and generating the ground surface map by combining the two-dimensional surface map image with the elevation data.

In addition, generating a three-dimensional cloud image includes generating a voxel grid in a three-dimensional space with the latitude and longitude according to the altitude information, and at least one of relative humidity and wet water to shape the cloud. Setting the boundary value, and generating the 3D cloud image using the voxel grid and the boundary value.

In addition, the three-dimensional cloud visualization apparatus according to an embodiment of the present invention collects an input unit for receiving information on a region of interest and weather data, and provides a ground map for the region corresponding to the information of interest and a 3D map corresponding to the region. It is characterized in that it comprises a control unit for generating a three-dimensional cloud image, and generating a visualized image by combining the ground surface map and the three-dimensional cloud image.

In addition, the control unit is characterized in that it collects the meteorological data including the vertical relative humidity and temperature data including the numerical model and satellite data.

In addition, the control unit is characterized in that it receives, from the input unit, the region of interest information including latitude, longitude, and altitude information for visualizing the 3D cloud and the time at which the 3D cloud is to be visualized.

In addition, the control unit generates elevation data corresponding to the latitude and longitude included in the region of interest information by using the elevation data of the numerical elevation model, and calls a two-dimensional surface map image corresponding to the latitude and longitude, and the The two-dimensional surface map image and the elevation data are combined to generate the surface map.

In addition, the control unit generates a voxel grid in a three-dimensional space with the latitude and longitude according to the altitude information, sets at least one of relative humidity and wet water as a boundary value to shape the cloud, and sets the voxel grid and the It is characterized in that the three-dimensional cloud image is generated by using the boundary value.

As described above, the three-dimensional cloud visualization method and apparatus using meteorological data according to the present invention provides a three-dimensional visualization of clouds to intuitively check the seeding path and clouds of air vehicles including weather aircraft, unmanned aerial vehicles, rockets, and drones. There is an effect that the user can intuitively grasp the characteristics and spatial distribution of clouds.

1 is a block diagram showing the main configuration of an electronic device for performing 3D cloud visualization according to an embodiment of the present invention.
2 is a flowchart illustrating a method of performing 3D cloud visualization according to an embodiment of the present invention.
3 is a detailed flowchart for explaining a method of generating a ground surface map according to an embodiment of the present invention.
4 is a detailed flowchart for explaining a method of generating 3D cloud data according to an embodiment of the present invention.
5 is an exemplary screen view illustrating 3D cloud visualization according to an embodiment of the present invention.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings. DETAILED DESCRIPTION The detailed description set forth below in conjunction with the appended drawings is intended to describe exemplary embodiments of the present invention and is not intended to represent the only embodiments in which the present invention may be practiced. In order to clearly explain the present invention in the drawings, parts not related to the description may be omitted, and the same reference numerals may be used for the same or similar components throughout the specification.

In an embodiment of the present invention, expressions such as “or” and “at least one” may indicate one of the words listed together, or a combination of two or more. For example, “A or B” and “at least one of A and B” may include only one of A or B, or both A and B.

1 is a block diagram showing the main configuration of an electronic device for performing 3D cloud visualization according to an embodiment of the present invention.

Referring to FIG. 1 , an electronic device 100 according to the present invention includes a communication unit 110 , an input unit 120 , a display unit 130 , a memory 140 , and a control unit 150 .

The communication unit 110 collects weather information from the outside of the electronic device 100 and provides the electronic device 100 with weather data including vertical relative humidity and temperature data including numerical models and satellite data. city) or geostationary orbit satellites, and communication with an external server (not shown) that provides DEM (digital elevation model) as altitude data.

In addition, when the electronic device 100 is not provided in an air vehicle including a weather aircraft, an unmanned aerial vehicle, a rocket, or a drone that sprays a seeding material, the communication unit 110 communicates with the vehicle that sprays the seeding material. You can control the action. To this end, the communication unit 110 may perform wireless communication such as ^5th generation communication (5G), long term evolution-advance (LTE-A), LTE and wireless fidelity (Wi-Fi), and radio communication. can be done

The input unit 120 generates input data in response to a user input of the electronic device 100 . To this end, the input unit 120 includes a keyboard, a keypad, a dome switch, a touch panel, a touch key, a mouse, and a menu button. button) and the like.

The display unit 130 displays display data according to the operation of the electronic device 100 . The display unit 140 may include a liquid crystal display (LCD), a light emitting diode (LED) display, an organic light emitting diode (OLED) display, and a micro electro mechanical systems (MEMS) display. and electronic paper displays. The display unit 130 may be combined with the input unit 120 to be implemented as a touch screen.

The memory 140 stores operation programs of the electronic device 100 . In addition, the memory 140 may store the region of interest information set by the user, a time period or a specific time for checking the 3D cloud visualization image. The memory 140 is an algorithm capable of generating a surface map based on weather data and altitude data, an algorithm capable of generating a three-dimensional cloud image, and a cloud image visualized in three dimensions by combining the surface map and the three-dimensional cloud image Stores the algorithm that can generate

The control unit 150 communicates with an external server according to a generated signal for generating a three-dimensional cloud visualization image received from the input unit 120, and weather data including vertical relative humidity and temperature data including numerical model and satellite data to collect For example, the numerical model may be a unified model (UM) or a local data assimilation and prediction system (LDAPS), and the satellite data may be data collected from geostationary satellites such as Chollian 2 (GK-2A). In addition, the control unit 150 may collect meteorological data including vertical relative humidity and temperature data at regular time intervals. For example, the numerical model can collect data on a spatial resolution of 1.5 to 100 km at intervals of 10 minutes to 1 hour, and for satellite data, data on a spatial resolution of 0.5 to 2 km can be collected at intervals of 2 to 10 minutes. can

The control unit 150 receives the region of interest information including latitude, longitude, and altitude information for the 3D space for cloud visualization from the input unit 120 , and inputs a time period for checking the 3D cloud visualization image in minutes. receive Of course, the controller 150 may receive a specific time at which to check the 3D cloud visualization image. In this case, the region of interest information may be information on a region where the seeding material is to be sprayed onto the aircraft, and a time period or a specific time (hereinafter, collectively referred to as a time point) may be a time point at which the seeding material is to be sprayed. In addition, latitude and longitude can be set for the entire Korean Peninsula or for a local area according to the area of interest. The controller 150 extracts meteorological data at the input time point from the collected meteorological data, and the controller 150 additionally extracts meteorological data for the previous and subsequent times closest to the input time point corresponding to the input time point. It can be interpolated linearly with meteorological data.

The controller 150 generates a ground surface map for the corresponding region based on the set ROI information, and generates a 3D cloud image for the corresponding region based on the set ROI information. First, the controller 150 calls the altitude data to generate a ground surface map. In this case, the altitude data may be a digital elevation model (DEM), and the DEM is a global self-consistent, hierarchical, high-resolution geography database (GSHHG), GTOPO30, SRTM (shuttle radar topography mission), and local models, which are global topographical elevation data. It may be data such as regional data assimilation and prediction system (RDAPS) and LDAPS. The controller 150 generates elevation data corresponding to the latitude and longitude based on the latitude and longitude related to the altitude data and the set ROI information.

The control unit 150 calls a two-dimensional surface map image for latitude and longitude related to the area of interest information set using map data such as Google Earth and Naver Map provided online. The controller 150 combines the generated elevation data and the called two-dimensional surface map image to generate a surface map including the topographical topography of the area of interest information.

Second, in order to generate a 3D cloud image, the controller 150 generates a voxel grid in a 3D space based on the latitude and longitude according to the altitude related to the region of interest information. In this case, if the arrangement of the voxel grid is set to be an integer multiple, the voxel grid within the corresponding latitude and longitude may be represented in more detail.

The controller 150 sets at least one of relative humidity and wet water as a boundary value to shape a cloud, and generates a three-dimensional cloud image based on the set boundary value. To this end, the control unit 150 may set the threshold value by setting the relative humidity to 80 to 100%, or may set the threshold value by setting the wet water to 0 to 6K. At this time, the boundary value is visualized when the relative humidity is set as the boundary condition, for example, voxels when the relative humidity is 80% or more as clouds, and when the wet water is set as the boundary condition, for example, voxels when the wet water is 6K or less It is assumed to be a cloud and means a boundary value for visualization. The boundary value can be set arbitrarily by the user, and it is desirable to consider the terrain altitude, the effective flight altitude of the vehicle, the presence or absence of natural precipitation, and the optical characteristics of clouds. In addition, the calculation of the wet water can be set using the following Equations 1 to 4, which will be described in more detail below.

Finally, the controller 150 generates a 3D cloud visualization image by combining and displaying the generated 3D cloud image with the ground surface map generated according to the set region of interest information and viewpoint in the same 3D space. The control unit 150 displays the generated 3D cloud visualization image on the display unit 130 . In this case, the controller 150 may display an image as viewed from the side, the front, the ceiling, etc. by adjusting the viewing angle according to the input of the input unit 120 .

2 is a flowchart illustrating a method of performing 3D cloud visualization according to an embodiment of the present invention.

Referring to FIG. 2 , in step 201 , the control unit 150 checks whether a generation signal for generating a 3D cloud visualization image is received from the input unit 120 . As a result of checking in step 201, if the generated signal is received, the control unit 150 performs step 203. If the generated signal is not received, the control unit 150 waits for the reception of the generated signal.

In step 203, the control unit 150 collects meteorological data. At this time, the meteorological data includes vertical relative humidity and temperature data including numerical models and satellite data. For example, the numerical model may be a unified model (UM) or a local data assimilation and prediction system (LDAPS), and the satellite data may be data collected from geostationary satellites such as Chollian 2 (GK-2A). In addition, the control unit 150 may collect meteorological data including vertical relative humidity and temperature data at regular time intervals. For example, the numerical model can collect data on a spatial resolution of 1.5 to 100 km at intervals of 10 minutes to 1 hour, and for satellite data, data on a spatial resolution of 0.5 to 2 km can be collected at intervals of 2 to 10 minutes. can To this end, the controller 150 may communicate with an external server (not shown) that collects weather information from the outside of the electronic device 100 .

In step 205 , the control unit 150 receives ROI information from the input unit 120 . More specifically, the user may input latitude, longitude, and altitude information, which is a three-dimensional space for cloud visualization, and input a time point, for example, a time zone, at which the three-dimensional cloud visualization image is to be checked in minutes, and input a specific time. can do. In this case, the latitude and longitude can be set for the entire Korean Peninsula or for a local area according to the area of interest. Although not shown, the control unit 150 extracts the meteorological data at the input time point from the meteorological data collected in step 203 . In addition, the controller 150 may linearly interpolate the meteorological data for the previous and subsequent times closest to the input time point with the meteorological data corresponding to the input time point.

Next, in step 207 , the controller 150 generates a ground surface map for the corresponding region based on the set ROI information and performs step 209 . In step 209, the controller 150 generates a three-dimensional cloud image for the corresponding region based on the set ROI information. In this case, steps 207 and 209 will be described in detail with reference to FIGS. 3 and 4, respectively.

In step 211, the control unit 150 visualizes 3D clouds by combining and displaying the ground surface map generated in step 207 and the 3D cloud image generated in step 209 in the same 3D space according to the region of interest information and viewpoint set in step 205. create an image Through this, the user can check the three-dimensionally visualized image of the cloud before, during, or after spraying the seeding material in the region of interest with the aircraft.

In step 213 , the control unit 150 displays the generated 3D cloud visualization image on the display unit 130 . In this case, the controller 150 may display an image as viewed from the side, the front, the ceiling, etc. by adjusting the viewing angle according to the input of the input unit 120 . Subsequently, in step 215 , when an end signal for terminating the generation of the visualized image is received from the input unit 120 , the control unit 150 terminates the process. If no end signal is received, the controller 150 returns to step 203 and repeats the above operation. can be done

3 is a detailed flowchart for explaining a method of generating a ground surface map according to an embodiment of the present invention.

Referring to FIG. 3 , in step 301 , the controller 150 calls the altitude data. In this case, the altitude data may be a digital elevation model (DEM), and the DEM is a global self-consistent, hierarchical, high-resolution geography database (GSHHG), GTOPO30, SRTM (shuttle radar topography mission), and local models, which are global topographical elevation data. It may be data such as regional data assimilation and prediction system (RDAPS) and LDAPS. To this end, the controller 150 may communicate with an external server (not shown) that provides altitude data. In step 303, the control unit 150 generates elevation data corresponding to the latitude and longitude based on the altitude data and the latitude and longitude related to the area of interest information set in step 205 of FIG. 2 .

Next, in step 305, the controller 150 calls a two-dimensional surface map image for latitude and longitude related to the area of interest information set in step 205 of FIG. 2 using map data such as Google Earth and Naver Map provided online. do. In step 307, the control unit 150 combines the elevation data generated in step 303 and the two-dimensional surface map image called in step 305 to generate a surface map including the topographical topography of the area of interest information, and returns to step 209 of FIG. . Through this, the ground surface map can visualize and display the topography and altitude of the corresponding area corresponding to the area of interest information, and the user can easily identify the horizontal and vertical positions of the clouds through this.

4 is a detailed flowchart for explaining a method of generating 3D cloud data according to an embodiment of the present invention.

Referring to FIG. 4 , in step 401 , the controller 150 generates a voxel grid in a 3D space based on the region of interest information. More specifically, the controller 150 may generate the latitude and longitude according to the altitude related to the region of interest information set in step 205 of FIG. 2 as a voxel grid in the 3D space. If the arrangement of the voxel grid is set to be an integer multiple, the voxel grid within the corresponding latitude and longitude can be represented in more detail. For example, when the array is set to three times, the size of the array in the three-dimensional space may be increased by 27 times.

Next, in step 403 , the controller 150 sets at least one of relative humidity and wet water as a boundary value to shape a cloud, and performs step 405 . More specifically, in step 403 , the controller 150 may set the threshold by setting the relative humidity to 80 to 100%, or may set the threshold by setting the wet water to 0 to 6K. At this time, the boundary value is visualized when the relative humidity is set as the boundary condition, for example, voxels when the relative humidity is 80% or more as clouds, and when the wet water is set as the boundary condition, for example, voxels when the wet water is 6K or less It is assumed to be a cloud and means a boundary value for visualization. The boundary value can be set arbitrarily by the user, and it is desirable to consider the terrain altitude, the effective flight altitude of the vehicle, the presence or absence of natural precipitation, and the optical characteristics of clouds. In addition, the calculation of the wet water can be set using Equations 1 to 4 below.

는 수증기압을 의미하며, 기층의 온도에 따라

(0℃ 이상)와

(0℃ 미만)로 구분된다. RH는 상대습도, P는 해당 기층의 압력을 의미한다. 아울러, 수증기압, 기층의 온도, 상대습도 및 해당 기층의 압력은 도 2에서 추출된 기상자료에 따라 설정될 수 있다. 또한, 상기 기층은 추출된 기상자료에 따라 해면 기압 수준의 1013.25hPa 기층부터 0.01hPa 수준의 대기 상층까지 여러 기층으로 구성될 수 있다.)(only,

is the water vapor pressure, depending on the temperature of the substrate

(above 0℃) and

(less than 0℃). RH stands for relative humidity, and P stands for pressure of the corresponding substrate. In addition, the water vapor pressure, the temperature of the base layer, the relative humidity and the pressure of the base layer may be set according to the meteorological data extracted in FIG. 2 . In addition, the base layer may be composed of several base layers from the 1013.25 hPa base at sea level to the upper atmosphere at the 0.01 hPa level, depending on the extracted meteorological data.)

는 이슬점 온도를 의미한다.)(At this time,

is the dew point temperature.)

Here, Equation 2 is applied to a warm cloud, for example, a condition of 0° C. or higher, and Equation 3 is applied to a cold cloud, for example, a condition less than 0° C. Finally, the damp water is calculated as the difference between the temperature and the dew point temperature as shown in Equation 4 below.

는 각 기층의 온도이고

와의 차이는 습수로 정의된다.)(At this time,

is the temperature of each substrate

The difference with is defined as wet water.)

Next, in step 405, the controller 150 generates a three-dimensional cloud image based on the set boundary value, and returns to step 211 of FIG. In this case, relative humidity or damp water may be used as the boundary value, and voxels in the case of greater than or equal to the threshold of the set relative humidity or less than the threshold of the set relative humidity are visualized as clouds.

5 is an exemplary screen view illustrating 3D cloud visualization according to an embodiment of the present invention.

Referring to FIG. 5 , (a) of FIG. 5 is an image of the 3D cloud visualization image generated in step 211 of FIG. 2 from an east-south angle, and (b) of FIG. 5 is the image generated in step 211 of FIG. It is an image displayed from a south-facing angle of a three-dimensional cloud visualization image. The altitude of the image can be expressed in terms of elevation (km) or barometric pressure (hPa). In this way, the user checks the cloud image corresponding to the time point set in step 205 of FIG. 2, but can check the cloud image visualized in three dimensions based on the altitude, longitude, and latitude of the corresponding area set as the area of interest information, , by adjusting the viewing angle, you can check the cloud image from various angles, such as southeast or southeast.

The embodiments of the present invention disclosed in the present specification and drawings are merely provided for specific examples to easily explain the technical content of the present invention and help the understanding of the present invention, and are not intended to limit the scope of the present invention. Therefore, the scope of the present invention should be construed as including all changes or modifications derived based on the technical spirit of the present invention in addition to the embodiments disclosed herein are included in the scope of the present invention.

Claims (10)

collecting, by the electronic device, meteorological data including vertical relative humidity and temperature data including numerical models and satellite data;
receiving, by the electronic device, information on the region of interest including latitude, longitude, and altitude information at which the seeding material is to be sprayed and a time point at which the seeding material is to be sprayed from the outside;
generating, by the electronic device, a ground surface map for a corresponding region corresponding to the region of interest information;
generating, by the electronic device, a three-dimensional cloud image corresponding to the corresponding area by extracting the weather data corresponding to the time point from among the weather data; and
generating, by the electronic device, a visualized image by combining the ground surface map and the three-dimensional cloud image;
including,
The step of generating the three-dimensional cloud image,
generating a voxel grid in a three-dimensional space with the latitude and longitude according to the altitude information;
setting at least one of relative humidity and wet water as a boundary value to shape the cloud;
generating the 3D cloud image by visualizing a voxel grid having at least one of relative humidity and wet water included in the boundary value as a cloud based on the meteorological data; . delete delete According to claim 1,
The step of generating the ground surface map comprises:
generating elevation data corresponding to the latitude and longitude included in the region of interest information by using the elevation data of the numerical elevation model;
calling a two-dimensional surface map image corresponding to the latitude and longitude; and
generating the ground surface map by combining the two-dimensional surface map image with the elevation data;
A three-dimensional cloud visualization method comprising a. delete an input unit for receiving, from the outside, information on the region of interest including latitude, longitude, and altitude information at which the seeding material is to be sprayed and the timing at which the seeding material is to be sprayed; and
It collects meteorological data including vertical relative humidity and temperature data including numerical models and satellite data, generates a surface map for the corresponding area corresponding to the area of interest information, and weather data corresponding to the time point among the meteorological data a control unit that extracts data to generate a three-dimensional cloud image corresponding to the corresponding area, and generates a visualized image by combining the ground surface map and the three-dimensional cloud image;
including,
The control unit is
Create a voxel grid in a three-dimensional space with the latitude and longitude according to the altitude information, set at least one of relative humidity and wet water as a boundary value to shape the cloud, and set the boundary value to the boundary value based on the weather data 3D cloud visualization apparatus, characterized in that the 3D cloud image is generated by visualizing a voxel grid having at least one of included relative humidity and damp water as a cloud. delete delete 7. The method of claim 6,
The control unit is
Elevation data corresponding to the latitude and longitude included in the area of interest information is generated using the altitude data of the numerical elevation model, and the 2D surface map image is called by calling the 2D surface map image corresponding to the latitude and longitude. 3D cloud visualization device, characterized in that by combining the elevation data and generating the ground surface map. delete

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