Artificial rain experiment radar-route analysis system

Abstract

An artificial rain experiment radar-route analysis system of the present invention comprises: a user terminal which accesses an artificial rain experiment radar-route analysis platform to set an experimental target area for experimenting artificial rain, and displays a plurality of seeding lines for seeding condensation nuclei on an artificial rain experiment map; and an artificial rain analysis device which operates the artificial rain experiment radar-route analysis platform, generates the artificial rain experiment map including map data of the experimental target area, and displays, on the artificial rain experiment map, the distribution of precipitation clouds in the experimental target area and the position of an aircraft carrying the condensation nuclei.

Description

Artificial Rain Experiment Radar-Route Analysis System

[0001] The present invention relates to an artificial rainfall experiment radar-route analysis system.

[0002] Artificial rain is a weather control technology that induces rain by artificially manipulating clouds in the atmosphere. It is achieved by spraying condensation nuclei into clouds containing sufficient moisture, depending on weather conditions, to induce or accelerate precipitation.

[0003] The condensation nuclei sprayed to generate artificial rain vary depending on the cloud conditions and the target. Silver iodide is the most common ice nucleation material that forms ice crystals in cold clouds, sodium chloride acts as a condensation nucleus through salt particles to induce water vapor to turn into water droplets, dry ice rapidly lowers the temperature around the cloud to form ice crystals, and liquid propane evaporates in the cloud to act as a condensation nucleus.

[0004] Artificial rainfall is primarily used to address water shortages and secure agricultural water in low-precipitation regions, but it can also be used to induce precipitation before clouds move toward areas expected to prevent damage from excessive rainfall. The most common method of artificial rainfall involves spraying condensation nuclei into the atmosphere using carriers such as aircraft, rockets, and drones.

[0005] Meanwhile, artificially creating the conditions necessary for cloud formation in the atmosphere requires clouds containing sufficient moisture, and it may be difficult to generate artificial rainfall in cloudless areas. Therefore, the placement of condensation nuclei is a critical factor in forming clouds for artificial rainfall.

[0006] The technical problem that the present invention aims to solve is to provide an artificial rainfall experiment radar-route analysis system that comprehensively manages artificial rainfall experiments on an artificial rainfall experiment map, optimizes the seeding location of condensation nuclei to maximize precipitation induction, and increases the reliability of the experiment through real-time monitoring of the aircraft route.

[0007] An artificial rainfall experiment radar-route analysis system according to an embodiment of the present invention comprises: a user terminal connected to an artificial rainfall experiment radar-route analysis platform, which sets an experimental target area for experimenting with artificial rainfall and displays a plurality of seeding lines for seeding condensation nuclei on an artificial rainfall experiment map; and an artificial rainfall analysis device that operates the artificial rainfall experiment radar-route analysis platform, generates the artificial rainfall experiment map including map data of the experimental target area, and displays the distribution of precipitation clouds in the experimental target area and the location of an aircraft carrying the condensation nuclei on the artificial rainfall experiment map.

[0008] According to an embodiment, each of the seeding lines is represented as a straight path connecting two points set by the user terminal, and each seeding line represented as a straight path can represent the flight path of the aircraft.

[0009] According to an embodiment, the artificial rainfall analysis device includes a communication interface that communicates with the user terminal and a processor that operates the artificial rainfall experiment radar-route analysis platform. The processor may include an artificial rainfall experiment map generation unit that loads map data of the experiment target area to generate the artificial rainfall experiment map and displays the distribution of precipitation clouds and the position of the aircraft on the artificial rainfall experiment map based on weather radar data received from a weather radar system and aviation data received from an air traffic control system; an experiment position setting unit that receives actual data measured by the aircraft passing through a plurality of seeding lines and determines an optimal seeding line among the seeding lines based on the actual data; and a feedback providing unit that corrects the optimal seeding line by analyzing the variability of weather conditions and information on the condensation nucleus seeding status at the optimal seeding line received from the aircraft.

[0010] According to an embodiment, the artificial rainfall experiment map generation unit can load map data of the experiment target area and generate the artificial rainfall experiment map including a controlled airspace, military operational airspace, no-fly zone, flight restricted zone, air route, the aviation data, the weather radar data, and the plurality of seeding lines on the map data.

[0011] According to an embodiment, the aviation data may include latitude and longitude indicating the location of the aircraft, the altitude of the aircraft, the ID of the aircraft, and time information where the aircraft is located at the latitude and longitude.

[0012] According to an embodiment, the experimental position setting unit may determine the seeding line closest to the preset artificial rain conditions among the seeding lines as the optimal seeding line based on the actual measurement data received after the aircraft passes through each seeding line marked with the straight path.

[0013] According to an embodiment, the feedback providing unit can monitor whether the aircraft is moving along an air route corresponding to the optimal seeding line and the status of condensation nucleus seeding at the optimal seeding line and display this information on the artificial rainfall experiment map.

[0014] According to an embodiment, the feedback providing unit can analyze cloud characteristics and wind direction and wind speed characteristics at the optimal seeding line and correct the latitude, longitude, and altitude of two points forming the optimal seeding line based on the analysis results.

[0015] According to an embodiment, the processor may further include an experimental result analysis unit that displays an artificial rainfall influence area and a precipitation influence area on the artificial rainfall experiment map, and calculates the difference in ground rainfall between the artificial rainfall influence area and the precipitation influence area to calculate the artificial rainfall amount.

[0016] According to an embodiment, the experimental result analysis unit calculates the time for precipitation cloud formation by considering the diffusion of the condensation nuclei, and can set the artificial rainfall influence area by condensation nucleus seeding using a numerical weather model and radar reflectance.

[0017] According to the artificial rainfall experiment radar-route analysis system of an embodiment of the present invention, the overall process of the artificial rainfall experiment is provided to the user as visual content through an artificial rainfall experiment map, and the status of condensation nucleus seeding by an aircraft can be displayed in real time.

[0018] In addition, according to the artificial rainfall experiment radar-route analysis system of the embodiment of the present invention, precipitation induction can be maximized by optimizing the seeding position of condensation nuclei using actual measurement data received in real time from an aircraft.

[0019] FIG. 1 is a schematic block diagram of an artificial rainfall experiment radar-route analysis system according to an embodiment of the present invention.

[0020] FIG. 2 is a drawing of an artificial rainfall analysis device according to an embodiment of the present invention.

[0021] FIG. 3 is a drawing of a processor according to an embodiment of the present invention.

[0022] FIG. 4 is a flowchart illustrating a radar-route analysis method for artificial rainfall experiments according to an embodiment of the present invention.

[0023] FIG. 5 is a diagram illustrating an artificial rainfall experiment map according to an embodiment of the present invention.

[0024] FIG. 6 is a drawing for explaining an artificial rainfall experiment map according to another embodiment of the present invention.

[0025] FIG. 7a is a drawing for explaining a seeding line according to an embodiment of the present invention.

[0026] FIG. 7b is a drawing illustrating an optimal seeding line according to an embodiment of the present invention.

[0027] Specific structural or functional descriptions of embodiments according to the concept of the present invention disclosed herein are merely illustrative for the purpose of explaining embodiments according to the concept of the present invention, and embodiments according to the concept of the present invention may be implemented in various forms and are not limited to the embodiments described herein. In the embodiments described herein, 'module' or 'part' refers to a functional part that performs at least one function or operation, and may be implemented in hardware or software, or a combination of hardware and software.

[0028] The terms “part” or “module” as used in the specification refer to software or hardware components, such as FPGAs or ASICs, and “part” or “module” perform certain roles. However, “part” or “module” is not limited to software or hardware. “Part” or “module” may be configured to reside in an addressable storage medium or configured to run on one or more processors. Thus, by example, “part” or “module” includes components such as software components, object-oriented software components, class components, and task components, as well as processes, functions, attributes, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables. The functions provided within the components and “parts” or “modules” may be combined into a smaller number of components and “parts” or “modules,” or further separated into additional components and “parts” or “modules.”

[0029] FIG. 1 is a schematic block diagram of an artificial rainfall experiment radar-route analysis system according to an embodiment of the present invention.

[0030] Referring to FIG. 1, the artificial rainfall experiment radar-route analysis system according to an embodiment of the present invention can provide the entire process of the artificial rainfall experiment to the user as visual content and provide an artificial rainfall experiment radar-route analysis service that displays the status of condensation nucleus seeding by the aircraft in real time.

[0031] In particular, the artificial rainfall experiment radar-path analysis system determines the seeding line (expected test location) based on the direction of cloud movement observed by weather radar, and by displaying real-time radar composite images along with the aircraft's position, it can adjust the optimal test location in real time while observing the processes of cloud development, movement, and dissipation. In other words, the artificial rainfall experiment radar-path analysis system can provide a seeding path that maximizes the efficiency and accuracy of the experiment by optimizing the precipitation cloud distribution in the target area and the aircraft's seeding path.

[0032] To this end, the artificial rainfall experiment radar-route analysis system includes an artificial rainfall analysis device (100), a user terminal (200), a weather radar system (300), an air traffic control system (400), and a weather observation system (500).

[0033] The artificial rain analysis device (100) is a device capable of hosting an online network and network addressing, and may be a platform operation server that provides platform services online.

[0034] For example, the artificial rain analysis device (100) may be a cloud computing model that operates an artificial rain experiment radar-route analysis platform, builds the artificial rain experiment radar-route analysis platform on-premise, and provides a Platform as a Service (PaaS) capable of running and managing related applications.

[0035] The artificial rain analysis device (100) can perform network communication with a user terminal (200), a weather radar system (300), an air traffic control system (400), a weather observation system (500), etc., to provide an artificial rain experiment radar-route analysis service.

[0036] Here, the network communication refers to a connection structure capable of exchanging information between the artificial rain analysis device (100), the user terminal (200), the weather radar system (300), the air traffic control system (400), and the weather observation system (500), and may refer to a local area network (LAN), a wide area network (WAN), the internet (WWW), a wired and wireless data communication network, a telephone network, a wired and wireless television communication network, a satellite communication network, etc.

[0037] The artificial rainfall analysis device (100) operates an artificial rainfall experiment radar-route analysis platform and, in response to a user's request, can display an artificial rainfall experiment map containing map data of the experiment target area through the artificial rainfall experiment radar-route analysis platform.

[0038] The artificial rainfall experiment map includes map data corresponding to the experiment target area and can display information related to the airspace of the experiment target area, such as controlled airspace, military operational airspace, no-fly zones, restricted flight zones, and air routes; meteorological observation information such as temperature, humidity, cloud height, wind direction, and wind speed; meteorological radar data such as precipitation intensity, precipitation location, precipitation type, and vertical cross-section; and seeding lines for seeding condensation nuclei.

[0039] Here, the experimental area refers to a target region for generating artificial rainfall and can be set by the user based on meteorological and numerical simulation prediction data. The user can set the experimental area by analyzing cloud location and movement speed using current weather conditions and numerical model prediction results, and by considering available water resources (cloud water volume), cloud movement direction, and seeding material reaction time.

[0040] Additionally, the seeding line is a straight path connecting two points, which can be located within the experimental area or set at a distance from the experimental area, and can be indicated in a direction perpendicular to the wind direction of the experimental area. The seeding line indicated as a straight path represents the flight path of an aircraft carrying condensation nuclei, and the aircraft can disperse the condensation nuclei into the atmosphere while moving along the seeding line.

[0041] In addition, the artificial rainfall experiment map can display the locations of aircraft flying in the airspace of the experiment target area. The artificial rainfall experiment map can display the locations of aircraft carrying condensation nuclei to conduct artificial rainfall experiments, and along with this, the locations of other aircraft can also be displayed.

[0042] A user terminal (200) can be connected to an artificial rain experiment radar-route analysis platform online to use the artificial rain experiment radar-route analysis service. According to an embodiment, the user terminal (200) may refer to a PC, a smartphone, a tablet PC, a mobile internet device (MID), an internet tablet, an IoT (internet of things) device, an IoE (internet of everything) device, a desktop computer, a laptop computer, a workstation computer, or a PDA (personal digital assistant), but is not limited thereto.

[0043] The user of the user terminal (200) can set an experimental target area for experimental artificial rain on the artificial rain experiment radar-route analysis platform and display a seeding line for seeding condensation nuclei on the artificial rain experiment map.

[0044] The artificial rainfall experiment consists of a process in which an aircraft moves to the seeding line and sprays condensation nuclei after the seeding line is set. There is a time difference between the time the seeding line is set and the time the aircraft arrives at the seeding line and sprays the condensation nuclei. Since the formation and movement of precipitation clouds are influenced by various weather conditions such as wind direction and wind speed, if weather conditions change rapidly after the seeding line is set, the precipitation clouds generated by the condensation nuclei may not affect the experimental area. Additionally, there may be an error between the weather radar data observed by the weather radar system (300) and the actual weather conditions.

[0045] To prevent such problems, the user terminal (200) may display multiple seeding lines for seeding condensation nuclei on the artificial rain experiment map. Each of the multiple seeding lines is a candidate site for scattering condensation nuclei, and the optimal seeding line for finally scattering condensation nuclei can be determined by the artificial rain analysis device (100). Accordingly, the aircraft can scatter condensation nuclei at the optimal seeding line determined by the artificial rain analysis device (100).

[0046] The weather radar system (300) can emit radio waves into the atmosphere, receive and analyze signals that are scattered and returned after hitting precipitation particles, and generate weather radar data including the location of precipitation clouds, rainfall intensity, and movement speed. The weather radar system (300) can provide the weather radar data to the artificial rainfall analysis device (100).

[0047] The air traffic control system (400) can provide aviation data to the artificial rain analysis device (100). The aviation data may include latitude and longitude indicating the location of the aircraft, the altitude of the aircraft, the ID of the aircraft, time information where the aircraft is located at the latitude and longitude, etc.

[0048] For example, the air traffic control system (400) can be provided as an ADS-B (Automatic Dependent Surveillance-Broadcast) in which an aircraft broadcasts information such as its location, speed, altitude, and direction in real time and shares it with air traffic control and other aircraft.

[0049] Accordingly, the aircraft can provide information such as location, speed, altitude, and direction in real time to the air traffic control system (400), and the artificial rain analysis device (100) can receive aviation data through the air traffic control system (400) or an open platform (e.g., OpenSky Network).

[0050] The weather observation system (500) can generate weather observation data by measuring atmospheric conditions, collecting and analyzing weather-related data. The weather observation system (500) can provide weather observation data to the artificial rainfall analysis device (100), and the artificial rainfall analysis device (100) can calculate the amount of artificial rainfall in the experimental area by condensation nucleus seeding using the weather observation data.

[0051] FIG. 2 is a drawing of an artificial rainfall analysis device according to an embodiment of the present invention.

[0052]

[0053] * Referring to FIG. 2, the artificial rain analysis device (100) includes a processor (110), a communication interface (120), a memory (130), and a storage (140).

[0054] The processor (110) can control the overall operation of each component of the artificial rain analysis device (100). The processor (110) may be configured to include a CPU (Central Processing Unit), an MPU (Micro Processor Unit), an MCU (Micro Controller Unit), a GPU (Graphic Processing Unit), or any form of processor (110) well known in the art of the present invention.

[0055] Additionally, the processor (110) can perform operations for at least one application or program for executing the method according to an embodiment of the present invention, and the artificial rain analysis device (100) may have one or more processors (110).

[0056] According to an embodiment, the processor (110) may further include RAM (Random Access Memory, not shown) and ROM (Read-Only Memory, not shown) for temporarily and / or permanently storing signals (or data) processed within the processor (110). Additionally, the processor (110) may be implemented in the form of a system-on-chip (SoC) comprising at least one of a graphics processing unit, RAM, and ROM.

[0057] The communication interface (120) may support wired or wireless communication of the artificial rain analysis device (100). The communication interface (120) may also support various communication methods other than internet communication. To this end, the communication interface (120) may be configured to include a communication module well known in the technical field of the present invention.

[0058] For example, the communication interface (120) may use wireless internet communication such as LAN (Local Area Network), WAN (Wide Area Network), CDMA (Code Division Multiple Access), WCDMA (Wideband Code Division Multiple Access), GSM (Global System for Mobile Communications), LTE (Long Term Evolution), EPC (Evolved Packet Core), WLAN (Wireless LAN) (Wi-Fi), Wibro (Wireless broadband), Wimax (World Interoperability for Microwave Access), and HSDPA (High Speed ​​Downlink Packet Access), as well as short-range communication technologies such as Bluetooth, RFID (Radio Frequency Identification), infrared communication (IrDA, infrared Data Association), UWB (Ultra Wideband), and ZigBee, and is not limited to any one communication method.

[0059] Memory (130) may store various data, instructions, or information. Memory (130) may load a computer program from storage (140) to execute a method according to various embodiments of the present invention. When a computer program is loaded into memory (130), the processor (110) may perform the method by executing one or more instructions that constitute the computer program. Memory (130) may be implemented as volatile memory such as RAM, but the technical scope of the present disclosure is not limited thereto.

[0060] Storage (140) can store computer programs non-temporarily. When a computer program is executed using an artificial rain analysis device (100), storage (160) can store various information necessary for generation and processing during the execution of the process.

[0061] The storage (140) may be configured to include non-volatile memory such as ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), flash memory, a hard disk, a removable disk, or any form of computer-readable recording medium well known in the art to which the present invention belongs.

[0062] The bus (150) provides communication functions between components of the artificial rain analysis device (100). The bus (150) can be implemented as various types of buses, such as an address bus, a data bus, and a control bus.

[0063] FIG. 3 is a drawing of a processor according to an embodiment of the present invention.

[0064] Referring to FIG. 3, the processor (110) includes an artificial rain experiment map generation unit (111), an experiment location setting unit (112), a feedback providing unit (113), and an experiment result analysis unit (114), and each component is implemented by a software module, a hardware module, or a combination thereof, and may mean a unit that processes at least one function or operation by being connected through at least one communication path.

[0065] The artificial rainfall experiment map generation unit (111) can load map data of the experiment target area. According to an embodiment, the artificial rainfall experiment map generation unit (111) can load map data of the experiment target area using an open source-based map project. For example, the artificial rainfall experiment map generation unit (111) can load map data of the experiment target area using OpenStreetMap (OSM) or Google Maps.

[0066] The artificial rainfall experiment map generation unit (111) can generate an artificial rainfall experiment map by displaying the control zone, military operational airspace, no-fly zone, flight restricted zone, air route, etc. on a map of the experiment target area, and displaying the distribution of precipitation clouds, the location of aircraft, etc. based on weather radar data received from the weather radar system (300) and aviation data received from the air traffic control system (400).

[0067] That is, the artificial rainfall experiment map generation unit (111) reflects weather radar data such as reflection intensity and Doppler velocity, and air traffic data such as aircraft position, speed, and altitude into the artificial rainfall experiment map to display the distribution of precipitation clouds in color, and can simultaneously display aircraft distribution, various restricted areas, seeding lines, etc. Through this visualization, the user can comprehensively recognize all information required for the artificial rainfall experiment.

[0068] For example, if the experimental area is an area near Gangneung-si, Gangwon-do, the artificial rainfall experiment map generation unit (111) highlights the area where precipitation clouds are concentrated and clearly distinguishes the military operational airspace and flight restricted area, thereby ensuring safety and efficiency when setting the route of an aircraft carrying condensation nuclei.

[0069] The artificial rain experiment map generation unit (111) can receive multiple seeding lines from a user terminal (200) and display them on the artificial rain experiment map. Since the seeding line is an aircraft flight path displayed as a straight path, it can block display at locations corresponding to military operational airspace, no-fly zones, flight restricted zones, etc., where aircraft cannot enter.

[0070] Additionally, the artificial rain experiment map generation unit (111) can block markings at locations corresponding to air routes where multiple aircraft enter in order to prevent collisions with other aircraft during the condensation nucleus scattering operation.

[0071] The experimental location setting unit (112) can receive actual measurement data from an aircraft and determine the optimal seeding line among multiple seeding lines to prevent problems where precipitation clouds do not affect the experimental area due to a sudden change in weather conditions after the seeding line is set or due to an error between weather radar data and actual weather conditions.

[0072] Here, the measured data is data generated by sensors attached to the aircraft or input by the aircraft's occupants, and may include information regarding meteorological conditions for generating artificial rainfall, such as cloud density, condensation effects, cloud distribution, cloud size, cloud water volume, and cloud altitude. The aircraft may generate measured data while passing through locations corresponding to each seeding line indicated by a straight path.

[0073] The experimental location setting unit (112) can determine the optimal seeding line among a plurality of seeding lines that is closest to the preset artificial rainfall conditions by analyzing actual measurement data. That is, the experimental location setting unit (112) can determine the optimal seeding line that can most significantly increase the amount of artificial rainfall in the experimental area according to a preset algorithm by comprehensively considering cloud density, condensation effect, aircraft accessibility, etc.

[0074] Accordingly, the aircraft can spray condensation nuclei along the optimal seeding line determined by the artificial rain analysis device (100). The aircraft can spray condensation nuclei while moving along the optimal seeding line repeatedly according to preset conditions.

[0075] The feedback providing unit (113) can monitor whether the aircraft is moving along a path corresponding to the optimal seeding line based on flight data, and can receive information on the condensation nucleus seeding status from the aircraft and display it in real time on the artificial rain experiment map.

[0076] If variables such as rapidly changing weather conditions occur during the process of the aircraft scattering condensation nuclei, it is necessary to adjust the optimal seeding line. The feedback providing unit (113) can correct the position of the optimal seeding line by analyzing the condensation nucleus seeding status information received from the aircraft and the variability of weather conditions. That is, the feedback providing unit (113) can maximize the efficiency of the artificial rain experiment by adjusting the latitude, longitude, and altitude of the two points forming the optimal seeding line.

[0077] For example, if there is a risk that the seeding effect will be reduced due to unexpected strong winds occurring while the aircraft is seeding condensation nuclei, the feedback providing unit (113) can lower the aircraft altitude and adjust the optimal seeding line in the direction of high cloud density.

[0078] The experimental result analysis unit (114) can calculate the time for precipitation cloud formation by considering the diffusion of condensation nuclei at the optimal seeding line and set the artificial rainfall influence area using a numerical weather model and radar reflectance. At this time, the experimental result analysis unit (114) can visually display the effective range of artificial rainfall on the artificial rainfall experiment map using the numerical weather model and radar reflectance.

[0079] The experimental result analysis unit (114) can display the artificial rainfall influence area by seeding by an aircraft on the artificial rainfall experiment map. Additionally, the experimental result analysis unit (114) can display the rainfall influence area where actual precipitation occurs on the artificial rainfall experiment map based on weather observation data.

[0080] The experimental result analysis unit (114) can calculate the artificial rainfall amount by calculating the difference in ground rainfall between the artificial rainfall influence area and the precipitation influence area. The artificial rainfall amount can be used to determine the rainfall increase effect of the artificial rainfall experiment, and the larger the artificial rainfall amount, the greater the rainfall increase effect of the artificial rainfall experiment can be determined.

[0081] FIG. 4 is a flowchart illustrating a radar-route analysis method for artificial rainfall experiments according to an embodiment of the present invention.

[0082] Referring to FIG. 4, the artificial rainfall analysis device (100) according to an embodiment of the present invention can set an experimental target area in response to an artificial rainfall experiment request input by a user (S100).

[0083] And, the artificial rainfall analysis device (100) can generate an artificial rainfall experiment map by loading map data of the experimental area and displaying the controlled airspace, military operational airspace, no-fly zone, restricted flight zone, air route, weather radar data, distribution of precipitation clouds, location of aircraft, etc. on the map (S110).

[0084] And, the artificial rainfall analysis device (100) can display a plurality of seeding lines input by the user on the artificial rainfall experiment map (S120). Here, the seeding line is a straight path connecting two points, can be located within the experiment target area or set at a distance from the experiment target area, and can be displayed in a direction perpendicular to the wind direction of the experiment target area.

[0085] And, the artificial rain analysis device (100) can analyze actual data received from the aircraft and determine the seed line closest to the preset artificial rain condition among the multiple seed lines as the optimal seed line (S130).

[0086] Once the optimal seeding line is determined, the aircraft can fly along the optimal seeding line and repeatedly spray condensation nuclei until preset conditions are satisfied.

[0087] At this time, the artificial rain analysis device (100) can receive condensation nucleus seeding status information from the aircraft and monitor the condensation nucleus seeding status information, and can monitor whether the aircraft is moving along a path corresponding to the optimal seeding line based on the flight data (S140).

[0088] In addition, the artificial rainfall analysis device (100) can calculate the artificial rainfall amount by calculating the difference in ground rainfall between the artificial rainfall influence area and the precipitation influence area (S150). The artificial rainfall amount can be used to determine the rainfall increase effect of the artificial rainfall experiment, and the larger the artificial rainfall amount, the greater the rainfall increase effect of the artificial rainfall experiment can be determined.

[0089] FIG. 5 is a drawing for explaining an artificial rainfall experiment map according to an embodiment of the present invention, and FIG. 6 is a drawing for explaining an artificial rainfall experiment map according to another embodiment of the present invention.

[0090] Referring to FIG. 5, an artificial rainfall experiment map (MAP) displayed through an artificial rainfall experiment radar-route analysis platform according to an embodiment of the present invention is shown.

[0091] The artificial rainfall experiment map (MAP) displays a map corresponding to the experiment target area, and on the map, information related to the airspace of the experiment target area, such as controlled airspace, military operational airspace, no-fly zones, restricted flight zones, and air routes, meteorological observation information such as temperature, humidity, cloud height, wind direction, and wind speed, meteorological radar data such as precipitation intensity, precipitation location, precipitation type, and vertical cross-section, and seeding lines for seeding condensation nuclei may be displayed.

[0092] In addition, the artificial rainfall experiment map (MAP) can display the seeding line (LN), weather radar elevation and aircraft information, experiment-related information, radar reflectance, and the aircraft's path (PTH). The seeding line (LN) can be entered by the user and can indicate the flight path of the aircraft carrying the condensation nuclei.

[0093] For example, the first area (AR1) may display the experiment time (flight start time), data display time, and time control menu. The second area (AR2) may display the radar display altitude, aircraft ID, and aircraft path display time. The third area (AR3) may display experiment-related information such as the experiment location and experiment time. The fourth area (AR4) may display radar reflectance and flight altitude legends.

[0094] Referring to FIG. 6, FIG. 6 (a) shows an artificial rain experiment map (MAP) with controlled airspace, FIG. 6 (b) shows an artificial rain experiment map (MAP) with military operational airspace, FIG. 6 (c) shows an artificial rain experiment map (MAP) with no-fly zones, FIG. 6 (d) shows an artificial rain experiment map (MAP) with restricted flight zones, FIG. 6 (e) shows an artificial rain experiment map (MAP) with air routes, and FIG. 6 (f) shows an artificial rain experiment map (MAP) with controlled airspace, military operational airspace, no-fly zones, restricted flight zones, and air routes all displayed.

[0095] The Artificial Rain Experiment Map can selectively display information related to airspace based on user selection. For example, the Artificial Rain Experiment Map can display military operational airspace and no-fly zones on the map based on user selection.

[0096] FIG. 7a is a drawing for explaining a seeding line according to an embodiment of the present invention, and FIG. 7b is a drawing for explaining an optimal seeding line according to an embodiment of the present invention.

[0097] Referring to FIGS. 7a and 7b, the artificial rainfall experiment map (MAP) can be enlarged or reduced in response to a user's request, and a seeding line (LN) for seeding condensation nuclei can be displayed.

[0098] Weather conditions may change rapidly after the aircraft departs the airport for the artificial rainfall experiment, or there may be discrepancies between the observed weather radar data and the actual weather conditions. To address these issues, multiple seeding lines (LN1 to LN5) may be displayed on the artificial rainfall experiment map (MAP).

[0099] The aircraft (AP) can generate actual data while passing through seeding lines to determine the optimal seeding path. The artificial rain analysis device (100) can communicate with the aircraft in real time and, using the actual data received from the aircraft (AP), can determine the seeding line closest to the preset artificial rain conditions among the plurality of seeding lines (LN1 to LN5) as the optimal seeding line (S_LN). For example, the artificial rain analysis device (100) can determine the third seeding line (LN3) among the first to fifth seeding lines (LN1 to LN5) as the optimal seeding line (S_LN).

[0100] Accordingly, the aircraft (AP) sprays condensation nuclei along the optimal seeding line (S_LN), and can repeatedly spray condensation nuclei while moving along the optimal seeding line (S_LN) until the preset conditions are satisfied.

[0101] Although embodiments of the present invention have been described above with reference to the attached drawings, those skilled in the art will understand that the present invention may be implemented in other specific forms without altering its technical concept or essential features. Therefore, the embodiments described above should be understood as illustrative in all respects and not restrictive.

[0102] The present invention provides the overall process of an artificial rainfall experiment to the user as visual content through an artificial rainfall experiment map and can display the status of condensation nucleus seeding by an aircraft in real time.

[0103] The present invention can maximize precipitation induction by optimizing the seeding location of condensation nuclei using real-time measured data received from an aircraft.

Claims

1. A user terminal connected to an artificial rainfall experiment radar-route analysis platform, which sets an experimental target area for conducting artificial rainfall experiments and displays multiple seeding lines for seeding condensation nuclei on an artificial rainfall experiment map; and An artificial rainfall experiment radar-route analysis system comprising an artificial rainfall analysis device that operates the above-mentioned artificial rainfall experiment radar-route analysis platform, generates the above-mentioned artificial rainfall experiment map including map data of the above-mentioned experimental area, and displays the distribution of precipitation clouds in the above-mentioned experimental area and the location of the aircraft carrying the above-mentioned condensation nuclei on the above-mentioned artificial rainfall experiment map.

2. In Paragraph 1, Each of the above seeding lines is displayed as a straight path connecting two points set by the user terminal, and each seeding line displayed as a straight path represents the flight path of the aircraft in an artificial rain experiment radar-route analysis system.

3. In Paragraph 1, The artificial rain analysis device mentioned above is, A communication interface connecting communication with the above-mentioned user terminal; and It includes a processor that operates the above artificial rainfall experiment radar-route analysis platform, and The above processor is, An artificial rainfall experiment map generation unit that loads map data of the above-mentioned experimental area to generate the above-mentioned artificial rainfall experiment map, and displays the distribution of the above-mentioned precipitation clouds and the location of the above-mentioned aircraft on the above-mentioned artificial rainfall experiment map based on weather radar data received from a weather radar system and aviation data received from an air traffic control system; An experimental position setting unit that receives actual data measured as the aircraft passes through a plurality of seeding lines and determines an optimal seeding line among the seeding lines based on the actual data; and An artificial rainfall experiment radar-route analysis system comprising information on the condensation nucleus seeding status at the optimal seeding line received from the aircraft and a feedback providing unit that corrects the optimal seeding line by analyzing the variability of weather conditions.

4. In Paragraph 3, The above artificial rain experiment map generation unit is, An artificial rainfall experiment radar-route analysis system that loads map data of the above-mentioned experimental target area and generates the above-mentioned artificial rainfall experiment map including a controlled airspace, military operational airspace, no-fly zone, restricted flight zone, air route, the above-mentioned aviation data, the above-mentioned weather radar data, and the above-mentioned plurality of seeding lines on the above-mentioned map data.

5. In Paragraph 4, The above aviation data is an artificial rain experiment radar-route analysis system comprising latitude and longitude indicating the position of the aircraft, the altitude of the aircraft, the ID of the aircraft, and time information where the aircraft is located at the latitude and longitude.

6. In Paragraph 3, The above experimental position setting unit is, An artificial rain experiment radar-route analysis system that determines the seeding line closest to a preset artificial rain condition among the seeding lines as the optimal seeding line based on the actual data received after the aircraft passes each seeding line indicated by the straight path.

7. In Paragraph 3, The above feedback providing unit is, An artificial rainfall experiment radar-route analysis system that monitors whether the aircraft moves along an air route corresponding to the optimal seeding line and the status of condensation nucleus seeding at the optimal seeding line, and displays this information on the artificial rainfall experiment map.

8. In Paragraph 3, The above feedback providing unit is, An artificial rainfall experiment radar-route analysis system that analyzes cloud characteristics and wind direction and wind speed characteristics at the optimal seeding line and corrects the latitude, longitude, and altitude of two points forming the optimal seeding line based on the analysis results.

9. In Paragraph 3, The above processor is, An artificial rainfall experiment radar-route analysis system further comprising an experiment result analysis unit that displays an artificial rainfall influence area and a precipitation influence area on the artificial rainfall experiment map, and calculates the artificial rainfall amount by calculating the ground rainfall deviation between the artificial rainfall influence area and the precipitation influence area.

10. In Paragraph 9, The above experimental result analysis unit is, An artificial rainfall experiment radar-route analysis system that calculates the time for precipitation cloud formation by considering the diffusion of the above-mentioned condensation nuclei, and sets the artificial rainfall influence area by condensation nucleus seeding using a numerical weather model and radar reflectance.

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