Supercooling cloud seeding effect inspection method based on unmanned aerial vehicle platform

Abstract

The invention discloses a supercooled cloud seeding effect inspection method based on an unmanned aerial vehicle platform, and relates to the technical field of supercooled cloud seeding effect inspection, and the method comprises the steps: carrying out the data collection processing of unseeded supercooled cloud based on an unmanned aerial vehicle, and obtaining the ice crystal density in the unseeded cloud; based on an unmanned aerial vehicle, carrying out data acquisition processing on the subcooled cloud after sowing, and obtaining the density of ice crystals in the cloud after sowing; and based on the rainfall difference value, carrying out analysis processing on the ice crystal density in the clouds without sowing and the ice crystal density in the clouds after sowing, and determining rainfall influence parameters and rainfall parameters to be verified. According to the method, two groups of supercooled clouds under different conditions are set and compared to determine whether the rainfall capacity of the supercooled clouds after sowing is increased, if the rainfall capacity is not increased, the method is analyzed, the subsequent feasibility is determined, if the rainfall capacity is increased, the density of ice crystals in the supercooled clouds can be determined, and the rainfall capacity can be increased; and the method can be continuously used subsequently to improve the rainfall, so that the waste of financial resources is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of supercooled cloud seeding effect inspection, and specifically relates to a method for inspecting the supercooled cloud seeding effect based on an unmanned aerial vehicle (UAV) platform. Background Art

[0002] A supercooled cloud refers to a cloud in which the cloud body temperature is lower than 0°C, but the water droplets in the cloud still remain in a liquid state without freezing.

[0003] Seeding supercooled clouds is to form ice crystals inside the supercooled clouds, so that the water vapor inside the supercooled clouds sublimates into water droplets and then rainfall occurs. However, after seeding the supercooled clouds, the ice crystal state inside the supercooled clouds is not monitored, and it is impossible to determine whether the seeded supercooled clouds can increase the rainfall. If the seeded supercooled clouds do not increase the rainfall, when this method is continued to be used subsequently, not only will the rainfall not increase, but also financial resources will be wasted. Summary of the Invention

[0004] To solve the above technical problems, a method for inspecting the supercooled cloud seeding effect based on an unmanned aerial vehicle (UAV) platform is provided. This technical solution solves the problem proposed in the above background art that after seeding the supercooled clouds, the ice crystal state inside the supercooled clouds is not monitored, and it is impossible to determine whether the seeded supercooled clouds can increase the rainfall. If the seeded supercooled clouds do not increase the rainfall, when this method is continued to be used subsequently, not only will the rainfall not increase, but also financial resources will be wasted.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0006] A method for inspecting the supercooled cloud seeding effect based on an unmanned aerial vehicle (UAV) platform, comprising:

[0007] Based on an unmanned aerial vehicle, data collection and processing are performed on unseeded supercooled clouds to obtain the ice crystal density in the unseeded clouds;

[0008] Based on an unmanned aerial vehicle, data collection and processing are performed on seeded supercooled clouds to obtain the ice crystal density in the seeded clouds;

[0009] Based on a ground rain gauge, data collection and processing are performed on supercooled clouds in rainfall to obtain the rainfall difference;

[0010] Based on the rainfall difference, analysis and processing are performed on the ice crystal density in the unseeded clouds and the ice crystal density in the seeded clouds to determine the rainfall influence parameter and the rainfall parameter to be verified;

[0011] Based on the unmanned aerial vehicle (UAV), secondary data collection is carried out on the unseeded supercooled cloud after rainfall and the seeded supercooled cloud after rainfall, to obtain the number of ice crystals in the unseeded supercooled cloud after rainfall, the size of ice crystals in the unseeded supercooled cloud after rainfall, the number of ice crystals in the seeded supercooled cloud after rainfall, and the size of ice crystals in the seeded supercooled cloud after rainfall;

[0012] Based on the number of ice crystals in the unseeded supercooled cloud after rainfall, the size of ice crystals in the unseeded supercooled cloud after rainfall, the number of ice crystals in the seeded supercooled cloud after rainfall, and the size of ice crystals in the seeded supercooled cloud after rainfall, verification processing is carried out on the rainfall parameters to be verified to determine whether the ice crystal size affects the rainfall amount.

[0013] Preferably, the data collection and processing of the unseeded supercooled cloud based on the UAV to obtain the ice crystal density in the unseeded cloud specifically include the following steps:

[0014] Analyze the structure of the UAV to determine the installation positions of the particle counter and the lidar;

[0015] Based on the installation positions of the particle counter and the lidar, install the particle counter and the lidar on the UAV;

[0016] Based on the particle counter, count the ice crystals in the unseeded supercooled cloud to obtain the number of ice crystals in the unseeded cloud;

[0017] Based on the UAV, collect images of the unseeded supercooled cloud to obtain images of the unseeded supercooled cloud;

[0018] Analyze and process the images of the unseeded supercooled cloud and the number of ice crystals in the unseeded cloud to obtain the ice crystal density in the unseeded cloud.

[0019] Preferably, the analysis and processing of the images of the unseeded supercooled cloud and the number of ice crystals in the unseeded cloud to obtain the ice crystal density in the unseeded cloud specifically include the following steps:

[0020] Analyze the cloud shape of the images of the unseeded supercooled cloud to determine the shape of the unseeded supercooled cloud;

[0021] Segment the shape of the unseeded supercooled cloud to determine the regular shape and the irregular shape of the unseeded supercooled cloud;

[0022] Based on the regular shape and the irregular shape of the unseeded supercooled cloud, measure the size of the images of the unseeded supercooled cloud to obtain the size information of the regular shape and the size information of the irregular shape of the unseeded supercooled cloud;

[0023] Match functions for the irregular shape of the unseeded supercooled cloud to determine the first similarity function;

[0024] Perform computational processing on the regular shape dimension information of the unseeded supercooled cloud, the regular shape of the unseeded supercooled cloud, and the irregular shape dimension information of the unseeded supercooled cloud, the first similarity function, and the irregular shape of the unseeded supercooled cloud to obtain the volume data of the unseeded supercooled cloud;

[0025] Perform computational processing on the volume data of the unseeded supercooled cloud and the number of ice crystals in the unseeded cloud to obtain the ice crystal density in the unseeded cloud.

[0026] Preferably, the specific calculation formula for obtaining the ice crystal density in the unseeded cloud is:

[0027]

[0028] In the formula, ρ1 is the ice crystal density in the unseeded cloud; V i Volume data of the regular shape of the unseeded supercooled cloud; m is the specific number of the volume data of the regular shape of the unseeded supercooled cloud; Ω is the irregular shape of the unseeded supercooled cloud; f i Specific number of the volume data of the regular shape of the unseeded supercooled cloud; the f(x, y, z) is the first similarity function; n is the specific number of the irregular shape of the unseeded supercooled cloud; α is the scaling ratio of the image of the unseeded supercooled cloud; β is the number of ice crystals in the unseeded cloud. j (x, y, z) is the first similarity function; n is the specific number of the irregular shape of the unseeded supercooled cloud; α is the scaling ratio of the image of the unseeded supercooled cloud; β is the number of ice crystals in the unseeded cloud.

[0029] Preferably, the process of collecting data on the seeded supercooled cloud based on the unmanned aerial vehicle to obtain the ice crystal density in the seeded cloud specifically includes the following steps:

[0030] Based on a particle counter, count the ice crystals in the seeded supercooled cloud to obtain the number of ice crystals in the seeded cloud;

[0031] Based on the unmanned aerial vehicle, collect an image of the seeded supercooled cloud to obtain an image of the seeded supercooled cloud;

[0032] Analyze the cloud shape of the image of the seeded supercooled cloud to determine the shape of the seeded supercooled cloud;

[0033] Perform segmentation processing on the shape of the seeded supercooled cloud to determine the regular shape and the irregular shape of the seeded supercooled cloud;

[0034] Based on the regular shape and the irregular shape of the seeded supercooled cloud, measure the size of the image of the seeded supercooled cloud to obtain the regular shape dimension information and the irregular shape dimension information of the seeded supercooled cloud;

[0035] Perform function matching on the irregular shape dimension information of the seeded supercooled cloud to determine the second similarity function;

[0036] Calculate and process the information on the regular shape size of the supercooled cloud after seeding, the regular shape of the supercooled cloud after seeding, the information on the irregular shape size of the supercooled cloud after seeding, the second similarity function, and the irregular shape of the supercooled cloud after seeding to obtain the volume data of the supercooled cloud after seeding;

[0037] Calculate and process the volume data of the supercooled cloud after seeding and the number of ice crystals in the supercooled cloud after seeding to obtain the ice crystal density in the supercooled cloud after seeding.

[0038] Preferably, the steps for collecting and processing data on the supercooled cloud in rainfall based on a ground rain gauge to obtain the rainfall difference are as follows:

[0039] Collect and process data on the supercooled cloud after seeding and the supercooled cloud before seeding based on a ground rain gauge to obtain the rainfall of the supercooled cloud after seeding and the rainfall of the supercooled cloud before seeding;

[0040] Perform a difference calculation on the rainfall of the supercooled cloud after seeding and the rainfall of the supercooled cloud before seeding to obtain the rainfall difference.

[0041] Preferably, the steps for analyzing and processing the ice crystal density in the unseeded cloud and the ice crystal density in the seeded cloud based on the rainfall difference to determine the rainfall influence parameter and the rainfall parameter to be verified are as follows:

[0042] If the rainfall difference is greater than or equal to the set first threshold and the ice crystal density in the seeded cloud is greater than the ice crystal density in the unseeded cloud, the ice crystal density is the rainfall influence parameter;

[0043] If the rainfall difference is less than the set first threshold and the ice crystal density in the seeded cloud is greater than the ice crystal density in the unseeded cloud, set the ice crystal density as the rainfall parameter to be verified;

[0044] If the rainfall difference is greater than or equal to the set first threshold and the ice crystal density in the seeded cloud is less than or equal to the ice crystal density in the unseeded cloud, the ice crystal density is not the rainfall influence parameter;

[0045] If the rainfall difference is less than the set first threshold and the ice crystal density in the seeded cloud is less than or equal to the ice crystal density in the unseeded cloud, the ice crystal density is the rainfall influence parameter.

[0046] Preferably, the steps for performing secondary data collection on the unseeded supercooled cloud after rainfall and the seeded supercooled cloud after rainfall using a drone to obtain the number of ice crystals in the unseeded supercooled cloud after rainfall, the ice crystal size in the unseeded supercooled cloud after rainfall, the number of ice crystals in the seeded supercooled cloud after rainfall, and the ice crystal size in the seeded supercooled cloud after rainfall are as follows:

[0047] Based on a particle counter, ice crystal counting is respectively performed on the unseeded supercooled cloud after rainfall and the seeded supercooled cloud after rainfall to obtain the number of ice crystals in the unseeded supercooled cloud after rainfall and the number of ice crystals in the seeded supercooled cloud after rainfall;

[0048] Based on a lidar, ice crystal size measurement is respectively performed on the unseeded supercooled cloud after rainfall and the seeded supercooled cloud after rainfall to obtain the ice crystal size in the unseeded supercooled cloud after rainfall and the ice crystal size in the seeded supercooled cloud after rainfall.

[0049] Preferably, based on the number of ice crystals in the unseeded supercooled cloud after rainfall, the ice crystal size in the unseeded supercooled cloud after rainfall, the number of ice crystals in the seeded supercooled cloud after rainfall, and the ice crystal size in the seeded supercooled cloud after rainfall, verification processing is performed on the rainfall parameters to be verified to determine whether the ice crystal size affects the rainfall amount, which specifically includes the following steps:

[0050] Perform an average calculation on the ice crystal size in the unseeded supercooled cloud after rainfall and the number of ice crystals in the unseeded supercooled cloud after rainfall to obtain the average ice crystal size in the unseeded supercooled cloud after rainfall;

[0051] Perform an average calculation on the number of ice crystals in the seeded supercooled cloud after rainfall and the ice crystal size in the seeded supercooled cloud after rainfall to obtain the average ice crystal size in the seeded supercooled cloud after rainfall;

[0052] If the number of ice crystals in the seeded supercooled cloud after rainfall is greater than the number of ice crystals in the unseeded supercooled cloud after rainfall, and the average ice crystal size in the seeded supercooled cloud after rainfall is approximately equal to the average ice crystal size in the unseeded supercooled cloud after rainfall, the ice crystal size affects the rainfall amount;

[0053] If the number of ice crystals in the seeded supercooled cloud after rainfall is less than or equal to the number of ice crystals in the unseeded supercooled cloud after rainfall, and the average ice crystal size in the seeded supercooled cloud after rainfall is approximately equal to the average ice crystal size in the unseeded supercooled cloud after rainfall, or the average ice crystal size in the seeded supercooled cloud after rainfall is not approximately equal to the average ice crystal size in the unseeded supercooled cloud after rainfall, the ice crystal size does not affect the rainfall amount.

[0054] Preferably, the specific calculation formula for the average ice crystal size in the unseeded supercooled cloud after rainfall is:

[0055]

[0056] In the formula, the S a is the average ice crystal size in the unseeded supercooled cloud after rainfall; the S kis the size of each ice crystal in the unseeded supercooled cloud after rainfall; the g is the number of ice crystals in the unseeded supercooled cloud after rainfall.

[0057] Further, a system for testing the seeding effect of supercooled clouds based on a drone platform is proposed, which is used to implement the method for testing the seeding effect of supercooled clouds based on a drone platform as described above, including:

[0058] A drone, which is used to collect images of the unseeded supercooled cloud and the seeded supercooled cloud through the camera carried by it, and obtain the image of the unseeded supercooled cloud and the image of the seeded supercooled cloud;

[0059] A particle counter, which is used to count the ice crystal particles inside the unseeded supercooled cloud and the seeded supercooled cloud, and obtain the number of ice crystals in the unseeded cloud and the number of ice crystals in the seeded cloud;

[0060] A lidar, which is used to measure the size of ice crystals in the unseeded supercooled cloud after rainfall and the seeded supercooled cloud after rainfall, and obtain the size of ice crystals in the unseeded supercooled cloud after rainfall and the size of ice crystals in the seeded supercooled cloud after rainfall;

[0061] A ground rain gauge, which is used to collect data of the seeded supercooled cloud and the unseeded supercooled cloud, and obtain the rainfall of the seeded supercooled cloud and the rainfall of the unseeded supercooled cloud;

[0062] An image analysis module, which analyzes the shapes of the unseeded supercooled cloud image and the seeded supercooled cloud image through an edge detection algorithm to determine the shape of the unseeded supercooled cloud and the shape of the seeded supercooled cloud;

[0063] A shape segmentation module, which is used to segment the shapes of the unseeded supercooled cloud and the seeded supercooled cloud to determine the regular shape of the unseeded supercooled cloud, the irregular shape of the unseeded supercooled cloud, the regular shape of the seeded supercooled cloud, and the irregular shape of the seeded supercooled cloud;

[0064] A size measurement module, which measures the supercooled cloud in the unseeded supercooled cloud image and the seeded supercooled cloud image through a measuring tool;

[0065] A function matching module, which performs function matching on the irregular shape of the unseeded supercooled cloud and the irregular shape of the seeded supercooled cloud;

[0066] A density calculation module that calculates and processes the volume data of supercooled clouds without seeding, the number of ice crystals in the unseeded cloud, the volume data of supercooled clouds after seeding, and the number of ice crystals in the seeded cloud to obtain the ice crystal density in the unseeded cloud and the ice crystal density in the seeded cloud;

[0067] A rainfall impact parameter analysis module that analyzes and judges the ice crystal density in the unseeded cloud and the ice crystal density in the seeded cloud according to the rainfall difference to determine the rainfall impact parameter and the rainfall parameter to be verified;

[0068] A verification module that is used to verify the rainfall parameter to be verified to determine whether the ice crystal size affects the rainfall.

[0069] Furthermore, a storage medium is proposed, on which a computer program is stored. When the computer program is called and run, it executes the method for testing the effect of supercooled cloud seeding based on an unmanned aerial vehicle platform as described above.

[0070] Compared with the prior art, the present invention provides a method for testing the effect of supercooled cloud seeding based on an unmanned aerial vehicle platform, having the following beneficial effects:

[0071] The present invention compares two groups of supercooled clouds under different conditions to determine whether the seeded supercooled cloud increases the rainfall. If the rainfall is not increased, the method is analyzed to determine the subsequent feasibility. If the rainfall is increased, it can be determined that the ice crystal density in the supercooled cloud can increase the rainfall, and this method can be continued to increase the rainfall in the future, avoiding the waste of financial resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 It is a schematic flowchart of steps S100 - S600 in the method for testing the effect of supercooled cloud seeding based on an unmanned aerial vehicle platform proposed by the present invention;

[0073] Figure 2 It is a structural block diagram of the system for testing the effect of supercooled cloud seeding based on an unmanned aerial vehicle platform proposed by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0074] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art can think of other obvious variations.

[0075] Referring to Figure 1 As shown, the method for testing the effect of supercooled cloud seeding based on an unmanned aerial vehicle platform includes:

[0076] S100. Based on an unmanned aerial vehicle, collect and process data of supercooled clouds without seeding to obtain the ice crystal density in the unseeded cloud;

[0077] S200. Based on an unmanned aerial vehicle, data collection and processing are carried out on supercooled clouds after seeding to obtain the ice crystal density in the clouds after seeding;

[0078] It can be understood that by setting a control group, it is possible to determine whether the rainfall of the supercooled clouds after seeding has increased, and then adjust the seeding plan to avoid waste of financial resources;

[0079] S300. Based on a ground rain gauge, data collection and processing are carried out on supercooled clouds in rainfall to obtain the rainfall difference;

[0080] S400. Based on the rainfall difference, the ice crystal density in unseeded clouds and the ice crystal density in seeded clouds are analyzed and processed to determine the rainfall influence parameter and the rainfall parameter to be verified;

[0081] S500. Based on an unmanned aerial vehicle, secondary data collection is carried out on unseeded supercooled clouds and seeded supercooled clouds after rainfall to obtain the number of ice crystals in unseeded supercooled clouds after rainfall, the size of ice crystals in unseeded supercooled clouds after rainfall, the number of ice crystals in seeded supercooled clouds after rainfall, and the size of ice crystals in seeded supercooled clouds after rainfall;

[0082] S600. Based on the number of ice crystals in unseeded supercooled clouds after rainfall, the size of ice crystals in unseeded supercooled clouds after rainfall, the number of ice crystals in seeded supercooled clouds after rainfall, and the size of ice crystals in seeded supercooled clouds after rainfall, verification processing is carried out on the rainfall parameter to be verified to determine whether the ice crystal size affects the rainfall;

[0083] Those skilled in the art can understand that if no control group is set after seeding the supercooled clouds, it is impossible to determine whether the rainfall of the supercooled clouds has increased after seeding. Therefore, a group of unseeded supercooled clouds and a group of seeded supercooled clouds are set, and the ice crystal density in the unseeded supercooled clouds and the seeded supercooled clouds is monitored in real time by an unmanned aerial vehicle. Then, when these two groups of supercooled clouds rain, the rainfall of these two groups of supercooled clouds is measured to determine whether the ice crystal density can increase the rainfall of the supercooled clouds. If the ice crystal density cannot increase the rainfall of the supercooled clouds, the size of the ice crystals is verified to determine whether the reason for the inability to increase the rainfall is related to the size of the ice crystals, and then the factors affecting the rainfall are determined, avoiding waste of financial resources.

[0084] Example 1

[0085] Based on an unmanned aerial vehicle, data collection and processing are carried out on unseeded supercooled clouds to obtain the ice crystal density in unseeded clouds, which specifically includes the following steps:

[0086] S101. Analyze the structure of the unmanned aerial vehicle to determine the installation positions of the particle counter and the lidar;

[0087] S102. Install a particle counter and a lidar on the UAV based on the installation positions of the particle counter and the lidar.

[0088] It can be understood that a UAV cannot measure the number and size of ice crystals inside supercooled clouds. Therefore, it is necessary to install a particle counter and a lidar on the UAV to measure ice crystals.

[0089] S103. Count the ice crystals in the unseeded supercooled cloud based on the particle counter to obtain the number of ice crystals in the unseeded cloud.

[0090] S104. Collect images of the unseeded supercooled cloud based on the UAV to obtain images of the unseeded supercooled cloud.

[0091] It can be understood that a supercooled cloud is an irregular object. Therefore, in order to obtain the complete shape of the supercooled cloud, it is necessary to control the UAV to take images of the supercooled cloud from different angles. Therefore, the images of the unseeded supercooled cloud are multiple groups and are images taken at different angles.

[0092] S105. Analyze and process the images of the unseeded supercooled cloud and the number of ice crystals in the unseeded cloud to obtain the ice crystal density in the unseeded cloud.

[0093] In this embodiment, the ice crystal density and size in the supercooled cloud may affect the rainfall. Therefore, the number and size of ice crystals in the supercooled cloud are measured by a particle counter and a lidar, and then the camera device on the UAV is used to take pictures of the supercooled cloud from different angles to obtain images of the supercooled cloud. Finally, shape analysis, region cutting, function matching, and volume calculation are performed on the images of the supercooled cloud to obtain the ice crystal density in the unseeded cloud.

[0094] Embodiment 2

[0095] Analyzing and processing the images of the unseeded supercooled cloud and the number of ice crystals in the unseeded cloud to obtain the ice crystal density in the unseeded cloud specifically includes the following steps:

[0096] S1051. Analyze the shape of the cloud layer in the images of the unseeded supercooled cloud to determine the shape of the unseeded supercooled cloud.

[0097] It can be understood that the images of the unseeded supercooled cloud are composed of multiple groups of images, which are taken by the UAV at different angles. Analyze the images of the supercooled cloud at different angles to obtain the shape of each part of the supercooled cloud, and piece them together to obtain the complete shape of the unseeded supercooled cloud.

[0098] S1052. Segment the shape of the supercooled cloud that has not been seeded to determine the regular shape and irregular shape of the unseeded supercooled cloud;

[0099] S1053. Based on the regular shape and irregular shape of the unseeded supercooled cloud, measure the size of the unseeded supercooled cloud image to obtain the size information of the regular shape of the unseeded supercooled cloud and the size information of the irregular shape of the unseeded supercooled cloud;

[0100] S1054. Perform function matching on the irregular shape of the unseeded supercooled cloud to determine the first similarity function;

[0101] S1055. Perform calculation processing on the size information of the regular shape of the unseeded supercooled cloud, the size information of the regular shape and irregular shape of the unseeded supercooled cloud, the first similarity function, and the irregular shape of the unseeded supercooled cloud to obtain the volume data of the unseeded supercooled cloud;

[0102] S1056. Perform calculation processing on the volume data of the unseeded supercooled cloud and the number of ice crystals in the unseeded cloud to obtain the ice crystal density in the unseeded cloud;

[0103] Among them, the specific calculation formula for obtaining the ice crystal density in the unseeded cloud is:

[0104]

[0105] In the formula, ρ1 is the ice crystal density in the unseeded cloud; V i is the volume data of the regular shape of the unseeded supercooled cloud; m is the specific number of the volume data of the regular shape of the unseeded supercooled cloud; Ω is the irregular shape of the unseeded supercooled cloud; f i is the volume data of the regular shape of the unseeded supercooled cloud; the specific number of the volume data of the regular shape of the unseeded supercooled cloud; Ω is the irregular shape of the unseeded supercooled cloud; f j (x, y, z) is the first similarity function; n is the specific number of the irregular shape of the unseeded supercooled cloud; α is the scaling ratio of the unseeded supercooled cloud image; β is the number of ice crystals in the unseeded cloud;

[0106] In this embodiment, the supercooled cloud is an irregular cloud-shaped object. When calculating the ice crystal density in the supercooled cloud, it is necessary to calculate the volume of the supercooled cloud. Therefore, by analyzing the image of the unseeded supercooled cloud, the specific shape of the supercooled cloud is determined. After the shape of the supercooled cloud is determined, the shape of the supercooled cloud is segmented into regular regions and irregular regions. Regular regions include cubes, cuboids, cylinders, etc., while irregular regions may be composed of combinations of multiple different functions. Therefore, its volume is calculated by triple integral. Finally, the volume of the regular region and the volume of the irregular region are summed to obtain the volume of the supercooled cloud, and the volume of the obtained supercooled cloud is calculated and processed with the number of ice crystals in the unseeded cloud to obtain the ice crystal density in the unseeded cloud.

[0107] Example 3

[0108] Based on the unmanned aerial vehicle (UAV), data collection and processing are carried out on the seeded supercooled cloud to obtain the ice crystal density in the seeded cloud, which specifically includes the following steps:

[0109] S201. Based on the particle counter, count the ice crystals in the seeded supercooled cloud to obtain the number of ice crystals in the seeded cloud;

[0110] S202. Based on the UAV, collect an image of the seeded supercooled cloud to obtain an image of the seeded supercooled cloud;

[0111] S203. Analyze the cloud shape of the image of the seeded supercooled cloud to determine the shape of the seeded supercooled cloud;

[0112] S204. Perform segmentation processing on the shape of the seeded supercooled cloud to determine the regular shape and irregular shape of the seeded supercooled cloud;

[0113] S205. Based on the regular shape and irregular shape of the seeded supercooled cloud, measure the size of the image of the seeded supercooled cloud to obtain the size information of the regular shape and the size information of the irregular shape of the seeded supercooled cloud;

[0114] S206. Perform function matching on the size information of the irregular shape of the seeded supercooled cloud to determine the second similarity function;

[0115] S207. Perform calculation processing on the size information of the regular shape of the seeded supercooled cloud, the size information of the regular shape and the irregular shape of the seeded supercooled cloud, the second similarity function, and the irregular shape of the seeded supercooled cloud to obtain the volume data of the seeded supercooled cloud;

[0116] S208. Perform calculation processing on the volume data of the seeded supercooled cloud and the number of ice crystals in the seeded cloud to obtain the ice crystal density in the seeded cloud;

[0117] In this embodiment, the shape of the supercooled cloud selected for seeding should be similar to that of the unseeded supercooled cloud, and the number of ice crystals inside should be approximately the same. Therefore, after seeding the supercooled cloud, calculate the ice crystal density inside it. Subsequently, compare and analyze the ice crystal density of the unseeded supercooled cloud and the ice crystal density of the seeded supercooled cloud to determine whether the ice crystal density affects the rainfall, and then adjust the seeding plan to avoid wasting financial resources. It should be noted that the calculation method in this embodiment is the same as that in Embodiment 2, so it will not be elaborated here.

[0118] Embodiment 4

[0119] Based on the ground rain gauge, data collection and processing of the supercooled cloud in the rainfall are carried out, and obtaining the rainfall difference specifically includes the following steps:

[0120] S301. Based on the ground rain gauge, data collection and processing of the seeded supercooled cloud and the unseeded supercooled cloud are carried out to obtain the rainfall of the seeded supercooled cloud and the rainfall of the unseeded supercooled cloud;

[0121] S302. Perform a difference calculation on the rainfall of the seeded supercooled cloud and the rainfall of the unseeded supercooled cloud to obtain the rainfall difference;

[0122] In this embodiment, in order to determine whether the ice crystal density affects the rainfall, it is necessary to measure the rainfall data of these two groups of supercooled clouds. Therefore, ground rain gauges are installed in the areas where these two groups of supercooled clouds rain to monitor their rainfall.

[0123] Embodiment 5

[0124] Based on the rainfall difference, analyze and process the ice crystal density in the unseeded cloud and the ice crystal density in the seeded cloud to determine the rainfall influence parameter and the rainfall parameter to be verified, specifically including the following steps:

[0125] S401. If the rainfall difference is greater than or equal to the set first threshold, and the ice crystal density in the seeded cloud is greater than the ice crystal density in the unseeded cloud, the ice crystal density in the cloud is the rainfall influence parameter;

[0126] S402. If the rainfall difference is less than the set first threshold, and the ice crystal density in the seeded cloud is greater than the ice crystal density in the unseeded cloud, set the ice crystal density in the cloud as the rainfall parameter to be verified;

[0127] S403. If the rainfall difference is greater than or equal to the set first threshold, and the ice crystal density in the seeded cloud is less than or equal to the ice crystal density in the unseeded cloud, the ice crystal density in the cloud is not the rainfall influence parameter;

[0128] S404. If the rainfall difference is less than the set first threshold, and the ice crystal density in the cloud after seeding is less than or equal to the ice crystal density in the unseeded cloud, where the ice crystal density in the cloud is the rainfall influence parameter;

[0129] In this embodiment, when the rainfall difference is less than the set first threshold, but the ice crystal density in the cloud after seeding is greater than the ice crystal density in the unseeded cloud, the rainfall may also be related to the ice crystal size. Because if the ice crystal size is too small, it cannot absorb more water vapor. If the absorbed water vapor is too little, the formed water droplets will be smaller, and their own gravity cannot overcome the buoyancy, so they cannot fall, and thus the rainfall cannot be increased. Therefore, when the ice crystal density in the cloud after seeding is greater than the ice crystal density in the unseeded cloud, it is necessary to analyze its size to see if it is too small. If it is too small, the seeding plan needs to be adjusted to make the formed ice crystal size larger, thereby increasing the rainfall.

[0130] Example 6

[0131] Based on the unmanned aerial vehicle, secondary data collection is carried out on the unseeded supercooled cloud after rainfall and the seeded supercooled cloud after rainfall to obtain the number of ice crystals in the unseeded supercooled cloud after rainfall, the size of ice crystals in the unseeded supercooled cloud after rainfall, the number of ice crystals in the seeded supercooled cloud after rainfall, and the size of ice crystals in the seeded supercooled cloud after rainfall. The specific steps are as follows:

[0132] S501. Based on the particle counter, ice crystal counting processing is respectively carried out on the unseeded supercooled cloud after rainfall and the seeded supercooled cloud after rainfall to obtain the number of ice crystals in the unseeded supercooled cloud after rainfall and the number of ice crystals in the seeded supercooled cloud after rainfall;

[0133] S502. Based on the lidar, ice crystal size measurement processing is respectively carried out on the unseeded supercooled cloud after rainfall and the seeded supercooled cloud after rainfall to obtain the size of ice crystals in the unseeded supercooled cloud after rainfall and the size of ice crystals in the seeded supercooled cloud after rainfall;

[0134] In this embodiment, in order to determine whether the too-small ice crystal size affects the rainfall, secondary data collection is carried out on the two groups of supercooled clouds after rainfall through the particle counter and the lidar to obtain the ice crystal sizes in the two groups of supercooled clouds after rainfall, and their sizes are analyzed to determine whether the rainfall increase is not obvious due to the too-small size.

[0135] Example 7

[0136] Based on the number of ice crystals in the unseeded supercooled cloud after rainfall, the size of ice crystals in the unseeded supercooled cloud after rainfall, the number of ice crystals in the seeded supercooled cloud after rainfall, and the size of ice crystals in the seeded supercooled cloud after rainfall, verification processing is carried out on the rainfall parameter to be verified to determine whether the ice crystal size affects the rainfall. The specific steps are as follows:

[0137] S601. Calculate the average of the ice crystal sizes and the number of ice crystals in the unseeded supercooled cloud after rainfall to obtain the average ice crystal size in the unseeded supercooled cloud after rainfall.

[0138] S602. Calculate the average of the number of ice crystals and the ice crystal sizes in the seeded supercooled cloud after rainfall to obtain the average ice crystal size in the seeded supercooled cloud after rainfall.

[0139] S603. If the number of ice crystals in the seeded supercooled cloud after rainfall is greater than the number of ice crystals in the unseeded supercooled cloud after rainfall, and the average ice crystal size in the seeded supercooled cloud after rainfall is approximately equal to the average ice crystal size in the unseeded supercooled cloud after rainfall, the ice crystal size affects the rainfall amount.

[0140] S604. If the number of ice crystals in the seeded supercooled cloud after rainfall is less than or equal to the number of ice crystals in the unseeded supercooled cloud after rainfall, and the average ice crystal size in the seeded supercooled cloud after rainfall is approximately equal to the average ice crystal size in the unseeded supercooled cloud after rainfall, or the average ice crystal size in the seeded supercooled cloud after rainfall is not approximately equal to the average ice crystal size in the unseeded supercooled cloud after rainfall, the ice crystal size does not affect the rainfall amount.

[0141] Wherein, the specific calculation formula for the average ice crystal size in the unseeded supercooled cloud after rainfall is:

[0142]

[0143] In the formula, the S a is the average ice crystal size in the unseeded supercooled cloud after rainfall; the S k is the size of each ice crystal in the unseeded supercooled cloud after rainfall; the g is the number of ice crystals in the unseeded supercooled cloud after rainfall.

[0144] In this embodiment, since there will still be some ice crystals in the two groups of supercooled clouds after rainfall, if the size of each ice crystal is compared one by one, a large amount of time will be wasted. If the ice crystal size affects the rainfall amount, then the remaining ice crystal sizes should be approximately the same. Therefore, the average of all the ice crystal sizes in the two groups of supercooled clouds after rainfall is calculated to obtain the average ice crystal size. If the ice crystal size affects the rainfall amount, then the average ice crystal sizes of the two groups should also be approximately equal. Therefore, by comparing and judging through the average ice crystal size, it is determined whether the ice crystal size affects the rainfall amount. If the rainfall amount is affected because the ice crystal size is too small, then by adjusting the seeding scheme, the ice crystals in the supercooled cloud can be made larger to increase the rainfall amount, and at the same time, the problem of wasting financial resources by following the old scheme can be avoided.

[0145] Reference Figure 2 As shown, a supercooled cloud seeding effect inspection system based on a drone platform is used to implement the supercooled cloud seeding effect inspection method based on a drone platform as described above, including:

[0146] A drone, which is used to collect images of the unseeded supercooled cloud and the seeded supercooled cloud through a camera carried by it, and obtain the unseeded supercooled cloud image and the seeded supercooled cloud image;

[0147] A particle counter, which is used to count the ice crystal particles inside the unseeded supercooled cloud and the seeded supercooled cloud, and obtain the number of ice crystals in the unseeded cloud and the number of ice crystals in the seeded cloud;

[0148] A lidar, which is used to measure the ice crystal size of the unseeded supercooled cloud after rainfall and the seeded supercooled cloud after rainfall, and obtain the ice crystal size in the unseeded supercooled cloud after rainfall and the ice crystal size in the seeded supercooled cloud after rainfall;

[0149] It can be understood that the lidar emits radar waves into the supercooled cloud, and then the size of the ice crystal can be judged according to the reflection time of the radar wave;

[0150] A ground rain gauge, which is used to collect data of the seeded supercooled cloud and the unseeded supercooled cloud, and obtain the rainfall of the seeded supercooled cloud and the rainfall of the unseeded supercooled cloud;

[0151] An image analysis module, which analyzes the shapes of the unseeded supercooled cloud image and the seeded supercooled cloud image through an edge detection algorithm to determine the shape of the unseeded supercooled cloud and the shape of the seeded supercooled cloud;

[0152] A shape segmentation module, which is used to segment the shape of the unseeded supercooled cloud and the shape of the seeded supercooled cloud to determine the regular shape of the unseeded supercooled cloud, the irregular shape of the unseeded supercooled cloud, the regular shape of the seeded supercooled cloud, and the irregular shape of the seeded supercooled cloud;

[0153] A size measurement module, which measures the supercooled cloud in the unseeded supercooled cloud image and the seeded supercooled cloud image through a measuring tool;

[0154] A function matching module, which performs function matching on the irregular shape of the unseeded supercooled cloud and the irregular shape of the seeded supercooled cloud;

[0155] A density calculation module that calculates and processes the volume data of supercooled clouds without seeding, the number of ice crystals in the unseeded clouds, the volume data of supercooled clouds after seeding, and the number of ice crystals in the seeded clouds to obtain the ice crystal density in the unseeded clouds and the ice crystal density in the seeded clouds;

[0156] A rainfall impact parameter analysis module that analyzes and judges the ice crystal density in the unseeded clouds and the ice crystal density in the seeded clouds based on the rainfall difference to determine the rainfall impact parameter and the rainfall parameter to be verified;

[0157] A verification module that is used to verify the rainfall parameter to be verified to determine whether the ice crystal size affects the rainfall amount.

[0158] Furthermore, a storage medium is proposed, on which a computer program is stored. When the computer program is called and run, it executes the method for testing the seeding effect of supercooled clouds based on an unmanned aerial vehicle platform as described above. Among them, the storage medium can be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; an optical medium, such as a DVD; or a semiconductor medium, such as a solid-state disk (SSD).

[0159] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification is only the principle of the present invention. Without departing from the spirit and scope of the present invention, various changes and improvements will occur to the present invention, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for testing the effect of supercooled cloud seeding based on an unmanned aerial vehicle platform, characterized in that, Including: Based on a drone, data collection and processing are carried out on supercooled clouds that have not been seeded to obtain the ice crystal density in the unseeded clouds; Based on a drone, data collection and processing are carried out on supercooled clouds after seeding to obtain the ice crystal density in the seeded clouds; Based on a ground rain gauge, data collection and processing are carried out on supercooled clouds in rainfall to obtain the rainfall difference; Based on the rainfall difference, the ice crystal density in the unseeded clouds and the ice crystal density in the seeded clouds are analyzed and processed to determine the rainfall influence parameter and the rainfall parameter to be verified; Based on a drone, secondary data collection is carried out on the unseeded supercooled clouds after rainfall and the seeded supercooled clouds after rainfall to obtain the number of ice crystals in the unseeded supercooled clouds after rainfall, the size of ice crystals in the unseeded supercooled clouds after rainfall, the number of ice crystals in the seeded supercooled clouds after rainfall, and the size of ice crystals in the seeded supercooled clouds after rainfall; Based on the number of ice crystals in the unseeded supercooled clouds after rainfall, the size of ice crystals in the unseeded supercooled clouds after rainfall, the number of ice crystals in the seeded supercooled clouds after rainfall, and the size of ice crystals in the seeded supercooled clouds after rainfall, the rainfall parameter to be verified is verified to determine whether the ice crystal size affects the rainfall amount.

2. The method for testing the effect of supercooled cloud seeding based on an unmanned aerial vehicle platform according to claim 1, wherein The specific steps of the above-mentioned data collection and processing of the unseeded supercooled clouds based on a drone to obtain the ice crystal density in the unseeded clouds are as follows: Analyze the structure of the drone to determine the installation positions of the particle counter and the lidar; Based on the installation positions of the particle counter and the lidar, install the particle counter and the lidar on the drone; Based on the particle counter, count the ice crystals in the unseeded supercooled clouds to obtain the number of ice crystals in the unseeded clouds; Based on the drone, collect images of the unseeded supercooled clouds to obtain images of the unseeded supercooled clouds; Analyze and process the images of the unseeded supercooled clouds and the number of ice crystals in the unseeded clouds to obtain the ice crystal density in the unseeded clouds.

3. The method for testing the supercooled cloud seeding effect based on a drone platform according to claim 2, wherein The specific steps of the above-mentioned analysis and processing of the images of the unseeded supercooled clouds and the number of ice crystals in the unseeded clouds to obtain the ice crystal density in the unseeded clouds are as follows: Analyze the cloud shape of the images of the unseeded supercooled clouds to determine the shape of the unseeded supercooled clouds; Segment the shape of the unseeded supercooled clouds to determine the regular shape and the irregular shape of the unseeded supercooled clouds; Based on the regular shape and the irregular shape of the unseeded supercooled clouds, measure the size of the images of the unseeded supercooled clouds to obtain the size information of the regular shape and the size information of the irregular shape of the unseeded supercooled clouds; Match the function of the irregular shape of the unseeded supercooled clouds to determine the first similarity function; Carry out calculation processing on the size information of the regular shape of the unseeded supercooled clouds, the size information of the regular shape and the irregular shape of the unseeded supercooled clouds, the first similarity function, and the irregular shape of the unseeded supercooled clouds to obtain the volume data of the unseeded supercooled clouds; Carry out calculation processing on the volume data of the unseeded supercooled clouds and the number of ice crystals in the unseeded clouds to obtain the ice crystal density in the unseeded clouds.

4. The method for testing the supercooled cloud seeding effect based on an unmanned aerial vehicle platform according to claim 3, wherein The specific calculation formula for obtaining the ice crystal density in the unseeded clouds is: Wherein, ρ1 is the ice crystal density in the unseeded cloud; V i is the volume data of the regular shape of the unseeded supercooled cloud; m is the V i specific quantity of the volume data of the regular shape of the unseeded supercooled cloud; Ω is the irregular shape of the unseeded supercooled cloud; f j (x, y, z) is the first similarity function; n is the specific quantity of the irregular shape of the unseeded supercooled cloud; α is the scaling ratio of the image of the unseeded supercooled cloud; β is the number of ice crystals in the unseeded cloud.

5. The method for testing the supercooled cloud seeding effect based on a drone platform according to claim 1, characterized in that, Based on the drone, data collection and processing are performed on the supercooled cloud after seeding to obtain the ice crystal density in the cloud after seeding, which specifically includes the following steps: Based on the particle counter, count the ice crystals in the supercooled cloud after seeding to obtain the number of ice crystals in the cloud after seeding; Based on the drone, collect images of the supercooled cloud after seeding to obtain the image of the supercooled cloud after seeding; Analyze the cloud shape of the supercooled cloud image after seeding to determine the shape of the supercooled cloud after seeding; Perform segmentation processing on the shape of the supercooled cloud after seeding to determine the regular shape and irregular shape of the supercooled cloud after seeding; Based on the regular shape and irregular shape of the supercooled cloud after seeding, measure the size of the supercooled cloud image after seeding to obtain the size information of the regular shape and irregular shape of the supercooled cloud after seeding; Perform function matching on the size information of the irregular shape of the supercooled cloud after seeding to determine the second similarity function; Perform calculation processing on the size information of the regular shape of the supercooled cloud after seeding, the size information of the regular shape and irregular shape of the supercooled cloud after seeding, the second similarity function, and the irregular shape of the supercooled cloud after seeding to obtain the volume data of the supercooled cloud after seeding; Perform calculation processing on the volume data of the supercooled cloud after seeding and the number of ice crystals in the cloud after seeding to obtain the ice crystal density in the cloud after seeding.

6. The method for testing the supercooled cloud seeding effect based on an unmanned aerial vehicle platform according to claim 1, characterized in that, Based on the ground rain gauge, data collection and processing are performed on the supercooled cloud in the rainfall to obtain the rainfall difference, which specifically includes the following steps: Based on the ground rain gauge, perform data collection and processing on the supercooled cloud after seeding and the supercooled cloud without seeding to obtain the rainfall of the supercooled cloud after seeding and the rainfall of the supercooled cloud without seeding; Perform a difference calculation on the rainfall of the supercooled cloud after seeding and the rainfall of the supercooled cloud without seeding to obtain the rainfall difference.

7. The method for testing the supercooled cloud seeding effect based on the UAV platform according to claim 1, characterized in that Based on the rainfall difference, analyze and process the ice crystal density in the unseeded cloud and the ice crystal density in the seeded cloud to determine the rainfall influence parameter and the rainfall parameter to be verified, which specifically includes the following steps: If the rainfall difference is greater than or equal to the set first threshold and the ice crystal density in the seeded cloud is greater than the ice crystal density in the unseeded cloud, the ice crystal density is the rainfall influence parameter; If the rainfall difference is less than the set first threshold and the ice crystal density in the seeded cloud is greater than the ice crystal density in the unseeded cloud, set the ice crystal density as the rainfall parameter to be verified; If the rainfall difference is greater than or equal to the set first threshold and the ice crystal density in the seeded cloud is less than or equal to the ice crystal density in the unseeded cloud, the ice crystal density is not the rainfall influence parameter; If the rainfall difference is less than the set first threshold and the ice crystal density in the seeded cloud is less than or equal to the ice crystal density in the unseeded cloud, the ice crystal density is the rainfall influence parameter.

8. The method for testing the supercooled cloud seeding effect based on a drone platform according to claim 1, wherein Based on the drone, perform secondary data collection on the unseeded supercooled cloud and the seeded supercooled cloud after rainfall to obtain the number of ice crystals in the unseeded supercooled cloud after rainfall, the size of the ice crystals in the unseeded supercooled cloud after rainfall, the number of ice crystals in the seeded supercooled cloud after rainfall, and the size of the ice crystals in the seeded supercooled cloud after rainfall, which specifically includes the following steps: Based on a particle counter, the ice crystals in the unseeded supercooled cloud after rainfall and the seeded supercooled cloud after rainfall are respectively counted to obtain the number of ice crystals in the unseeded supercooled cloud after rainfall and the number of ice crystals in the seeded supercooled cloud after rainfall; Based on lidar, the ice crystal sizes in the unseeded supercooled cloud after rainfall and the seeded supercooled cloud after rainfall are respectively measured to obtain the ice crystal sizes in the unseeded supercooled cloud after rainfall and the ice crystal sizes in the seeded supercooled cloud after rainfall.

9. The method for testing the supercooled cloud seeding effect based on a drone platform according to claim 1, wherein Based on the number of ice crystals in the unseeded supercooled cloud after rainfall, the ice crystal sizes in the unseeded supercooled cloud after rainfall, the number of ice crystals in the seeded supercooled cloud after rainfall, and the ice crystal sizes in the seeded supercooled cloud after rainfall, the rainfall parameters to be verified are processed to determine whether the ice crystal size affects the rainfall amount, which specifically includes the following steps: The average value of the ice crystal sizes in the unseeded supercooled cloud after rainfall and the number of ice crystals in the unseeded supercooled cloud after rainfall is calculated to obtain the average ice crystal size in the unseeded supercooled cloud after rainfall; The average value of the number of ice crystals in the seeded supercooled cloud after rainfall and the ice crystal sizes in the seeded supercooled cloud after rainfall is calculated to obtain the average ice crystal size in the seeded supercooled cloud after rainfall; If the number of ice crystals in the seeded supercooled cloud after rainfall is greater than the number of ice crystals in the unseeded supercooled cloud after rainfall, and the average ice crystal size in the seeded supercooled cloud after rainfall is approximately equal to the average ice crystal size in the unseeded supercooled cloud after rainfall, the ice crystal size affects the rainfall amount; If the number of ice crystals in the seeded supercooled cloud after rainfall is less than or equal to the number of ice crystals in the unseeded supercooled cloud after rainfall, and the average ice crystal size in the seeded supercooled cloud after rainfall is approximately equal to the average ice crystal size in the unseeded supercooled cloud after rainfall, or the average ice crystal size in the seeded supercooled cloud after rainfall is not approximately equal to the average ice crystal size in the unseeded supercooled cloud after rainfall, the ice crystal size does not affect the rainfall amount.

10. The method for testing the supercooled cloud seeding effect based on an unmanned aerial vehicle platform according to claim 9, wherein, The specific calculation formula for the average ice crystal size in the unseeded supercooled cloud after rainfall is: In the formula, the S a is the average size of ice crystals in the supercooled cloud without seeding after rainfall; the S k is the size of each ice crystal in the supercooled cloud without seeding after rainfall; the g is the number of ice crystals in the supercooled cloud without seeding after rainfall.

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