Catalyst scheduling control method applied to weather modification operation of airplane

Abstract

The invention relates to the field of weather modification, and discloses a catalyst scheduling control method applied to aircraft weather modification, comprising: acquiring target weather modification information, the target weather modification information comprising weather modification demand information and a target modification area; inputting the real-time cloud layer information of each job sub-region into a pre-trained deep learning model to obtain a cloud layer category corresponding to each job sub-region; screening the plurality of operation sub-regions according to the weather operation demand information and the cloud layer category corresponding to each operation sub-region to obtain a catalyst standard putting region group; adjusting the preset reference putting amount corresponding to each catalyst standard putting area to obtain the catalyst putting amount of each catalyst standard putting area; and according to the catalyst diffusion speed, determining a catalyst feeding speed corresponding to the catalyst standard feeding area. Therefore, the accuracy and the high efficiency of artificial influence weather operation are realized.

Description

Technical Field

[0001] The invention relates to the field of artificial weather influencing operations, and in particular to a catalyst scheduling control method used in artificial weather influencing operations of aircraft. Background Art

[0002] With the rapid development of science and technology and the continuous progress of meteorological modernization, the equipment relied on for artificial weather modification operations is undergoing a significant transformation from primitive to modern, from manual to automatic and even intelligent. Aircraft operations have the characteristics of strong maneuverability, uniform spreading, wide affected area, and the ability to directly sow catalysts into appropriate locations in the clouds. Especially for large-scale precipitation cloud systems, aircraft operations have incomparable advantages.

[0003] The existing artificial weather modification operation process, especially the catalyst scheduling control process, often has the following technical problems: First, traditional operation methods mainly rely on weather forecast data for operation. There is often a certain time interval between weather forecast and actual operation. During this period, weather conditions may change, resulting in the original operation plan based on the forecast being no longer applicable and needing to be re-planned, which leads to reduced operation efficiency and accuracy. Second, in traditional weather operations, catalysts are often distributed in standard quantities, lacking targeted planning of catalyst usage, resulting in poor weather operation results; traditional weather operations lack comprehensive considerations when planning flight delivery paths, resulting in low operational efficiency and safety impacts; Third, when artificially influencing operations, due to the complexity and suddenness of weather conditions, when the demand for catalysts increases, staff rely too much on experience and judgment to determine the amount of catalyst to be added. The lack of efficient and flexible response strategies leads to the forced interruption of weather operations and the decline in the efficiency of weather operations. Summary of the invention

[0004] The summary of the invention is used to introduce concepts in a brief form, which will be described in detail in the detailed implementation section below. The summary of the invention is not intended to identify the key features or essential features of the technical solution claimed for protection, nor is it intended to limit the scope of the technical solution claimed for protection.

[0005] The present invention proposes a catalyst scheduling control method for aircraft artificial weather modification operations to solve one or more of the technical problems mentioned in the above background technology section.

[0006] The present invention provides a catalyst scheduling control method for aircraft artificial weather influence operations, comprising: obtaining target weather operation information, the target weather operation information including weather operation demand information and target operation area; dividing the target operation area according to a preset division standard to obtain a plurality of operation sub-areas; obtaining real-time cloud information of each operation sub-area in the plurality of operation sub-areas, the real-time cloud information including real-time cloud thickness, real-time cloud temperature, and real-time cloud humidity; inputting the real-time cloud information of each operation sub-area in the plurality of operation sub-areas into a pre-trained deep learning model to obtain a cloud category corresponding to each operation sub-area; screening the plurality of operation sub-areas according to the weather operation demand information and the cloud category corresponding to each operation sub-area to obtain a catalyst standard delivery area group; obtaining a preset benchmark delivery amount corresponding to each catalyst standard delivery area in the catalyst standard delivery area group, and obtaining a preset benchmark cloud thickness, a preset benchmark cloud temperature, and a preset benchmark cloud humidity; calculating the real-time cloud thickness of each catalyst standard delivery area and the preset benchmark cloud thickness to obtain a first calculation Results; the real-time cloud temperature of each standard catalyst delivery area is calculated against the preset benchmark cloud temperature to obtain a second calculation result; the real-time cloud humidity of each standard catalyst delivery area is calculated against the preset benchmark cloud humidity to obtain a third calculation result; the first calculation result, the second calculation result and the third calculation result are combined to obtain a calculation result group for each standard catalyst delivery area; according to the calculation result group for each standard catalyst delivery area, the preset benchmark delivery amount corresponding to each standard catalyst delivery area is adjusted to obtain the catalyst delivery amount corresponding to each standard catalyst delivery area; the catalyst diffusion speed corresponding to the catalyst type corresponding to the weather operation demand information is obtained, and the catalyst delivery speed corresponding to the standard catalyst delivery area is determined according to the catalyst diffusion speed; according to the standard catalyst delivery area group, the catalyst delivery amount corresponding to each standard catalyst delivery area and the catalyst delivery speed corresponding to the standard catalyst delivery area, a catalyst scheduling control plan is generated, and the catalyst scheduling control plan is sent to the flight terminal device to control the flight terminal device to execute the catalyst scheduling control plan.

[0007] Optionally, before obtaining the real-time cloud layer information of each of the multiple operation sub-areas, the method further includes: Generate a catalyst preparation plan corresponding to the target weather operation information according to the weather operation demand information and the target operation area; The catalyst preparation scheme is generated by the following steps: Acquire catalyst characteristics of each catalyst type from a plurality of catalyst types; match a catalyst type corresponding to the weather operation requirement information from the plurality of catalyst types according to the weather operation requirement information, and determine the successfully matched catalyst type as a target catalyst type; Obtaining the area range corresponding to the target operation area, and determining the initial catalyst carrying amount corresponding to the weather operation demand information according to the area range corresponding to the target operation area; adjusting the initial catalyst carrying amount according to the catalyst characteristics corresponding to the target catalyst to obtain an updated catalyst carrying amount; calculating the updated catalyst carrying amount and the preset safety amount to obtain a standard catalyst carrying amount corresponding to the target weather operation information; Generate a catalyst packaging plan for the catalyst type stored on the drone based on the catalyst characteristics corresponding to the catalyst type corresponding to the weather operation demand information; Generate a catalyst preparation plan based on the catalyst type, standard catalyst carrying amount and catalyst packaging plan corresponding to the weather operation demand information.

[0008] Optionally, the catalyst scheduling control scheme further includes a flight planning scheme, wherein the flight planning scheme includes a flight delivery path, a flight altitude, and a flight speed, and the flight delivery path is determined by the following steps: Obtain an aerial electronic map of the target operation area, and determine multiple flight delivery paths in the aerial electronic map according to the catalyst standard delivery area group; Obtain a historical weather data set for the target operation area, input the historical weather data set into a pre-trained numerical weather forecast model, and determine an operation time period suitable for the target operation area to carry out weather operations; Obtain a flight route group for a target operation area during an operation period; remove flight delivery paths that conflict with flight routes in the flight route group from among multiple flight delivery paths to obtain an updated flight delivery path group; Obtain weather forecast information corresponding to each of the multiple operation sub-areas in the operation time period, the weather forecast information including expected temperature, expected humidity, expected air pressure, expected wind speed and direction, and expected precipitation intensity; input the weather forecast information corresponding to each operation sub-area into a numerical weather forecast model to obtain the meteorological area type corresponding to each operation sub-area, the meteorological area type including a normal meteorological area and an abnormal meteorological area; Analyze each flight delivery path in the updated flight delivery path group to determine whether there is an abnormal meteorological area in each flight delivery path. If not, determine the path safety attribute of the flight delivery path as level one, and add the flight delivery path corresponding to the level one path safety attribute to the level one flight delivery path group; if so, determine the path safety attribute of the flight delivery path as level two, and add the flight delivery path corresponding to the level two path safety attribute to the level two flight delivery path group; wherein, each flight delivery path in the level one flight delivery path group and the level two flight delivery path group corresponds to a safety score, the safety scores of each flight delivery path in the level one flight delivery path group are the same, and the safety scores of each flight delivery path in the level two flight delivery path group are the same; The flight distance of each flight delivery path in the first-level flight delivery path group and the flight distance of each flight delivery path in the second-level flight delivery path group are obtained, and each flight delivery path in the first-level flight delivery path group and each flight delivery path in the second-level flight delivery path group are scored according to the flight distance of each flight delivery path to obtain the flight distance score of each flight delivery path; weights are respectively configured for the flight distance score of the flight delivery path and the safety score of the flight delivery path, and the flight distance score of each flight delivery path and the safety score of each flight delivery path are calculated by weight to determine the total score of each flight delivery path; each flight delivery path is sorted in descending order according to the total score of each flight delivery path to obtain a flight delivery path sequence; a target number of flight delivery paths are selected from the flight delivery path sequence as alternative flight delivery paths and added to the alternative flight delivery path group, and the alternative flight delivery path with the highest total score in the alternative flight delivery path group is used as the standard flight delivery path.

[0009] Optionally, the flight altitude and flight speed are determined by the following steps: Segmenting each alternative flight delivery path in the alternative flight delivery path group to obtain a plurality of flight sub-segments of each alternative flight delivery path; Obtaining a cloud layer height corresponding to each flight sub-segment in the plurality of flight sub-segments, determining a cloud layer height greater than or equal to a first preset cloud layer height as a first cloud layer height; determining a cloud layer height less than the first preset cloud layer height and greater than or equal to a second preset cloud layer height as a second cloud layer height; and determining a cloud layer height less than the second preset cloud layer height as a third cloud layer height; Obtain the UAV model information corresponding to the target weather operation information, and determine the flight altitude corresponding to each flight sub-segment based on the UAV model information and the cloud height corresponding to each flight sub-segment, where one cloud height corresponds to one flight altitude. The UAV model information includes the model type, real-time fuel storage, and maximum cruising altitude; The real-time moving speed of the cloud layer for each flight sub-segment is obtained, and the first flight speed corresponding to each flight sub-segment is determined according to the real-time moving speed of the cloud layer corresponding to each flight sub-segment; the first flight speed is adjusted according to the real-time fuel storage amount corresponding to the UAV model information to obtain the adjusted flight speed corresponding to each flight sub-segment.

[0010] The catalyst scheduling control method used in aircraft artificial weather influencing operations also includes: Obtaining a cloud image group for each catalyst standard placement area in the catalyst standard placement area group, and performing feature extraction on the cloud image group to obtain cloud thickness features corresponding to each catalyst standard placement area; analyzing the cloud thickness features to obtain a first prediction probability corresponding to each catalyst standard placement area; If the first predicted probability corresponding to each catalyst standard delivery area is not within the first preset probability interval, a catalyst delivery amount adjustment plan corresponding to each catalyst standard delivery area is generated; Obtaining and analyzing environmental parameters of each catalyst standard placement area to obtain a second predicted probability of each catalyst standard placement area; If the second predicted probability corresponding to each catalyst standard delivery area is not within the second preset probability interval, a flight height adjustment plan and a flight speed adjustment plan corresponding to each catalyst standard delivery area are generated.

[0011] The present invention has the following beneficial effects: 1. Improved operational efficiency, accuracy and safety. Specifically, by analyzing real-time cloud information and determining which areas have more suitable weather conditions for weather operations, the success rate of weather operations can be significantly improved; by flexibly adjusting the operation plan based on real-time cloud thickness, real-time cloud temperature, real-time cloud humidity and real-time moving speed, the efficiency of weather operations can be improved, which is more time-saving and more accurate than the traditional method of performing operations based on weather forecasts; using drones to replace manual weather operations can effectively avoid casualties of flight personnel and improve operational safety; at the same time, drones can perform weather operations under severe weather conditions such as high temperature, low temperature and heavy rain, without being restricted by ground traffic and terrain, thus improving the efficiency and accuracy of artificial weather operations; 2. Ensure the effectiveness and safety of weather operations. Specifically, screening out effective catalyst types and suitable catalyst carrying amounts for weather operations based on operational requirements and regional scope can improve the accuracy and success rate of operations; eliminating paths that conflict with flight routes, and optimizing flight delivery paths based on flight delivery path safety attributes and flight distances to ensure that flight delivery operations do not interfere with normal flight operations, and can also effectively prevent drones from entering abnormally dangerous areas, ensure flight safety, improve flight efficiency, and reduce flight costs; conduct secondary catalyst delivery in areas where the probability of operational results is predicted to be low after weather operations, and adjust flight altitude and speed in combination with real-time environmental parameters, thereby optimizing operational results and improving the efficiency and safety of weather operations; 3. Improves weather operation efficiency and ensures the continuity of weather operations. Specifically, according to the matching of real-time cloud type and historical data, the amount of catalyst with high operation completion rate and minimum usage is analyzed from historical data as the predicted total catalyst usage, which not only ensures the operation effect but also avoids waste of resources. At the same time, by real-time monitoring of the catalyst surplus, it is possible to prevent operation interruptions or emergency returns of drones due to catalyst shortages, thereby improving operation efficiency. In addition, for flight terminal equipment with insufficient catalyst surplus, planning a return route and operating the unoperated areas on this return route can ensure that the flight terminal equipment can effectively use time to perform necessary operations on the way back to the supply station, avoiding idle resources, and helping to maximize the utilization of flight terminal equipment while reducing unnecessary flight time and energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The above and other features, advantages and aspects of the embodiments of the present invention will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that components and elements are not necessarily drawn to scale.

[0013] Figure 1 The present invention is a flow chart of a catalyst scheduling control method used in aircraft weather modification operations. DETAILED DESCRIPTION

[0014] The present invention will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present invention. It should be understood that the drawings and embodiments of the present invention are only for exemplary purposes and are not intended to limit the scope of protection of the present invention.

[0015] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0016] It should be noted that the concepts such as "first" and "second" mentioned in the present invention are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0017] It should be noted that the modifications of "one" and "plurality" mentioned in the present invention are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0018] The names of the messages or information exchanged between multiple devices of the present invention are only for illustrative purposes, and are not used to limit the scope of these messages or information.

[0019] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0020] like Figure 1 FIG. 1 is a flow chart of a catalyst scheduling control method for aircraft artificial weather modification operations according to the present invention, which specifically includes the following steps: Step 101, obtaining target weather operation information, the target weather operation information including weather operation demand information and target operation area; dividing the target operation area according to a preset division standard to obtain multiple operation sub-areas; obtaining real-time cloud information of each operation sub-area in the multiple operation sub-areas, the real-time cloud information including real-time cloud thickness, real-time cloud temperature, and real-time cloud humidity; In some embodiments, the execution subject of the catalyst scheduling control method applied to the artificial weather modification operation of the aircraft of the present invention is a background server (ground control server). A communication connection is established between the background server and the flight operation task terminal. On this basis, the target weather operation information is obtained from the flight operation task terminal, and the target weather operation information includes weather operation demand information and target operation area. Specifically, the weather operation demand information in the target weather operation information can be one of the following: rain increase demand, hail prevention demand, and snow increase demand. The target operation area in the target weather operation information can be the airspace range of District A in XX City, and the target operation area is the operation area corresponding to the weather operation demand information in the target weather operation information. The target operation area is divided according to the preset division standard to obtain multiple operation sub-areas. Specifically, when the target operation area is District A, the aerial electronic map of District A is obtained from the open source electronic map interface, and the aerial electronic map of District A is divided into multiple grid areas of equal area, and each of the multiple grid areas is each operation sub-area in the multiple operation sub-areas corresponding to District A. Among them, the preset division standard is to divide the aerial electronic map of the target operation area into multiple grid areas of equal area. Each of the multiple grid areas corresponding to the aerial electronic map of area A has corresponding geographic location information, and the geographic location information includes longitude, latitude and altitude. The multiple grid areas include but are not limited to grid area 1 and grid area 2, and the multiple operation sub-areas include but are not limited to operation sub-area 1 and operation sub-area 2. Operation sub-area 1 is the actual geographic location of grid area 1. Similarly, operation sub-area 2 is also the actual geographic location of grid area 2. The flight terminal device is equipped with a meteorological detection device, which can be a meteorological radar, and the background server can communicate with the meteorological detection device. The meteorological detection device can obtain real-time meteorological data of the target operation area in real time, and send the obtained real-time meteorological data to the background server. The real-time meteorological data includes but is not limited to real-time cloud information, real-time moving speed of the cloud layer and regional range. During the weather operation process, there is a communication connection between the execution subject and the meteorological detection device of the flight terminal device, and the real-time cloud information of each operation sub-area in the multiple operation sub-areas is obtained from the meteorological detection device. The real-time cloud information includes real-time cloud thickness, real-time cloud temperature, and real-time cloud humidity. Specifically, the real-time cloud thickness in the real-time cloud information is in meters, which can be 1000 meters. The real-time cloud layer temperature in the real-time cloud layer information is in degrees Celsius, which can be minus 20 degrees Celsius. The real-time cloud layer humidity in the real-time cloud layer information is expressed in relative humidity percentage, which can be 80%.

[0021] Step 102: input the real-time cloud information of each of the multiple operating sub-areas into a pre-trained deep learning model to obtain the cloud category corresponding to each operating sub-area; screen the multiple operating sub-areas according to the weather operating demand information and the cloud category corresponding to each operating sub-area to obtain a catalyst standard delivery area group; In some embodiments, the real-time cloud information of each of the multiple operation sub-areas is input into a pre-trained deep learning model. The pre-trained deep learning model is an algorithm based on an artificial neural network, and its structure is a convolutional neural network. It is pre-trained with a large number of cloud data sets to obtain cloud categories, and the cloud categories include but are not limited to one of the following: cumuliform clouds, stratus clouds, and cumulus clouds. A cloud category query table can be pre-constructed. On this basis, a pre-constructed cloud category query table is obtained, and the cloud category query table includes multiple weather operation demand information and cloud category groups corresponding to each weather operation demand information. For example, the weather operation demand information is a rain increase demand. Since the cloud layer characteristics of cumuliform clouds are vigorous internal convection and high cloud humidity, they are ideal objects for artificial rain increase. Therefore, cumuliform clouds are used as the cloud category corresponding to the rain increase demand. The weather operation requirement information included in the target weather operation information is matched in the cloud category query table to obtain the cloud category group corresponding to the weather operation requirement information included in the target weather operation information and determine it as the target cloud category group; the cloud category corresponding to each operation sub-area is matched with the target cloud category group. If the match is successful, the successfully matched operation sub-area is used as a catalyst standard delivery area and added to the catalyst standard delivery area group. The catalyst standard delivery area group may include catalyst standard delivery area 1 (operation sub-area 1) and catalyst standard delivery area 2 (operation sub-area 2).

[0022] Step 103, obtaining a preset reference delivery amount corresponding to each catalyst standard delivery area in the catalyst standard delivery area group, and obtaining a preset reference cloud thickness, a preset reference cloud temperature, and a preset reference cloud humidity; calculating the real-time cloud thickness of each catalyst standard delivery area and the preset reference cloud thickness to obtain a first calculation result; calculating the real-time cloud temperature of each catalyst standard delivery area and the preset reference cloud temperature to obtain a second calculation result; calculating the real-time cloud humidity of each catalyst standard delivery area and the preset reference cloud humidity to obtain a third calculation result; combining the first calculation result, the second calculation result, and the third calculation result to obtain a calculation result group for each catalyst standard delivery area; adjusting the preset reference delivery amount corresponding to each catalyst standard delivery area according to the calculation result group for each catalyst standard delivery area to obtain a catalyst delivery amount corresponding to each catalyst standard delivery area; In some embodiments, the execution subject locally stores a meteorological management database, on this basis, the preset reference delivery amount corresponding to each catalyst standard delivery area and the preset reference cloud thickness, preset reference cloud temperature, and preset reference cloud humidity are obtained from the meteorological management database. The preset reference delivery amount corresponding to each catalyst standard delivery area in the catalyst standard delivery area group is the same. The preset reference delivery amount is the catalyst delivery amount pre-set in order to achieve the predetermined catalyst reaction effect. The preset reference delivery amount corresponding to each catalyst standard delivery area is subsequently adjusted by the real-time cloud information corresponding to each catalyst standard delivery area to avoid the inability to achieve an effective rain-increasing effect due to insufficient catalyst delivery. The preset reference cloud thickness refers to the reference value of the cloud thickness that can meet the weather operation requirements. For the real-time cloud thickness, thicker clouds contain more water vapor and require more catalysts. The preset reference cloud temperature refers to the reference value of the cloud temperature that can meet the weather operation requirements. For the real-time cloud temperature, when the cloud temperature is below 0°C, water vapor condenses into ice crystals, which helps the formation of precipitation; on the contrary, when the cloud temperature is above 0°C, it is not conducive to the formation of precipitation and more catalysts are required. The preset baseline cloud humidity refers to the reference value that the cloud humidity can reach for weather operation requirements. For real-time cloud humidity, a higher cloud humidity means a higher water vapor content in the cloud, making it easier to form precipitation; on the contrary, when the cloud humidity is low, it is not conducive to the formation of precipitation, so more catalysts are needed.

[0023] In some embodiments, assuming that the preset reference delivery amount corresponding to each catalyst standard delivery area is 1000 grams, the preset reference cloud thickness may be 1800 meters, the preset reference cloud temperature may be minus 10 degrees Celsius, and the preset reference cloud humidity may be 60%. If the real-time cloud thickness corresponding to the catalyst standard delivery area 1 is 2000 meters, the real-time cloud temperature is minus 20 degrees Celsius, and the real-time cloud humidity is 80%, the real-time cloud thickness of the catalyst standard delivery area 1 and the preset reference cloud thickness are calculated, and the first calculation result obtained is 200 meters (2000 minus 1800 equals 200). If the real-time cloud thickness is less than 1800 meters, the preset reference delivery amount is not adjusted to ensure the operation effect.

[0024] In some embodiments, the real-time cloud temperature corresponding to the standard catalyst delivery area 1 is minus 20 degrees Celsius, and water vapor condenses into ice crystals, which helps to form precipitation. In order to ensure the effect of catalyst delivery, it is not necessary to adjust the preset benchmark delivery amount by the cloud temperature. If the real-time cloud temperature is greater than the preset benchmark cloud temperature, it is necessary to adjust the preset benchmark delivery amount by the cloud temperature. The calculation step of the second calculation result is the real-time cloud temperature minus the preset benchmark cloud temperature. The difference obtained is the second calculation result, and it is used as the subsequent adjustment of the preset benchmark delivery amount. The real-time cloud humidity corresponding to the standard catalyst delivery area 1 is 80% greater than the preset benchmark cloud humidity of 60%. In order to ensure the effect of catalyst delivery, it is also not necessary to reduce the preset benchmark delivery amount by the cloud humidity. If the real-time cloud humidity is less than the preset benchmark cloud humidity, it is necessary to adjust the preset benchmark delivery amount. The calculation step is the preset benchmark cloud humidity minus the real-time cloud humidity. The difference obtained is the third calculation result and is used as the subsequent adjustment of the preset benchmark delivery amount.

[0025] In some embodiments, the first calculation result, the second calculation result and the third calculation result are combined to obtain a calculation result group for each standard catalyst delivery area. Specifically, the calculation result group includes the first calculation result, the second calculation result and the third calculation result. For example, the first calculation result corresponding to the standard catalyst delivery area 1 obtained by the above calculation is 200 meters, and the first calculation result corresponds to the cloud thickness; the real-time cloud temperature corresponding to the standard catalyst delivery area 1 is minus 20 degrees Celsius, which is less than the preset benchmark cloud temperature, and there is no need to adjust the preset benchmark delivery amount according to the cloud temperature, then the second calculation result is 0; similarly, the real-time cloud humidity corresponding to the standard catalyst delivery area 1 is greater than the preset benchmark cloud humidity, and there is no need to adjust the preset benchmark delivery amount according to the cloud humidity, and the third calculation result is 0. Therefore, the calculation result group corresponding to the standard catalyst delivery area 1 includes the first calculation result (200), the second calculation result (0) and the third calculation result (0), and it is only necessary to adjust the first calculation result to the preset benchmark delivery amount. The execution subject stores a catalyst adjustment table locally, and on this basis, obtains a pre-established catalyst adjustment table, which includes multiple cloud layer parameters, multiple difference intervals corresponding to each cloud layer parameter, and adjustment values ​​corresponding to each difference interval. Specifically, the multiple cloud layer parameters include cloud layer thickness, cloud layer temperature, and cloud layer humidity; the multiple difference intervals corresponding to each cloud layer parameter can be multiple difference intervals corresponding to cloud layer thickness, and the multiple difference intervals can be 0 to 500 meters (excluding 500), 500 to 1000 meters (excluding 1000), and 1000 to 2000 meters (excluding 2000); the adjustment value corresponding to each difference interval is 0 to 500, and the adjustment value corresponding to 500 to 1000 is an increase of 10%, and the adjustment value corresponding to 1000 to 2000 is an increase of 15%. By querying the pre-established catalyst adjustment table, it can be obtained that the preset benchmark release amount corresponding to the catalyst standard release area 1 needs to be increased by 5%, and the catalyst release amount corresponding to the catalyst standard release area 1 is 1050 grams. Real-time cloud thickness, real-time cloud temperature, and real-time cloud humidity are key factors affecting precipitation formation. By adjusting the amount of catalyst released through these parameters, the condensation and growth of cloud droplets can be more effectively promoted, thereby increasing the probability and intensity of precipitation and improving weather operation efficiency.

[0026] Step 104, obtaining a catalyst diffusion rate corresponding to a catalyst type corresponding to the weather operation demand information, and determining a catalyst placement rate corresponding to a catalyst standard placement area according to the catalyst diffusion rate; In some embodiments, the execution subject locally stores a catalyst placement comparison table, on this basis, obtains the catalyst diffusion rate corresponding to the catalyst type corresponding to the weather operation demand information from the catalyst placement comparison table, and the catalyst placement comparison table includes multiple catalyst types, the catalyst diffusion rate corresponding to each catalyst type, and the catalyst placement rate corresponding to the catalyst diffusion rate. The catalyst type corresponding to the weather operation demand information is matched in the catalyst placement comparison table to obtain the catalyst diffusion rate corresponding to the catalyst type corresponding to the weather operation demand information and the catalyst placement rate corresponding to the catalyst diffusion rate. Among them, the catalyst placement speed is the speed at which the catalyst placement equipment carried on the drone places the catalyst, and the catalyst placement speed corresponding to each catalyst standard placement area is the same. A fast catalyst diffusion rate means that the catalyst can quickly diffuse in the cloud layer and cover the operation area. Generally, the catalyst placement speed is greater than the catalyst diffusion rate. In the case of a fast catalyst diffusion rate, if the catalyst placement speed remains unchanged or decreases, it may cause the catalyst concentration in the cloud layer to be insufficient, thereby affecting the operation effect.

[0027] Step 105, generates a catalyst scheduling control plan based on the catalyst standard delivery area group, the catalyst delivery amount corresponding to each catalyst standard delivery area, and the catalyst delivery speed corresponding to the catalyst standard delivery area, and sends the catalyst scheduling control plan to the flight terminal device to control the flight terminal device to execute the catalyst scheduling control plan.

[0028] In some embodiments, the catalyst standard delivery area group, the catalyst delivery amount corresponding to each catalyst standard delivery area, and the catalyst delivery speed corresponding to the catalyst standard delivery area are combined to generate a catalyst scheduling control scheme. The catalyst standard delivery area group in the catalyst scheduling control scheme can be a catalyst standard delivery area 1 and a catalyst standard delivery area 2. The catalyst delivery amount corresponding to each catalyst standard delivery area in the catalyst scheduling control scheme can be 1050 grams of catalyst delivery amount corresponding to the catalyst standard delivery area 1, and 1250 grams of catalyst delivery amount corresponding to the catalyst standard delivery area 2. The catalyst delivery speed corresponding to the catalyst standard delivery area in the catalyst scheduling control scheme can be 44 kilograms per second. The catalyst scheduling control scheme is sent to the flight terminal device, and the flight terminal device is also equipped with a communication device and a catalyst delivery device. Among them, the communication device is connected to the background server for receiving the catalyst scheduling control scheme and the flight planning scheme; the communication device is also connected to the catalyst delivery device, and the catalyst delivery device is used to receive the catalyst delivery area instruction, the catalyst delivery amount instruction, and the catalyst delivery speed instruction in the catalyst scheduling control scheme. When the drone arrives at the catalyst delivery area, the catalyst is delivered according to the catalyst delivery amount instruction and the catalyst delivery speed instruction.

[0029] In some embodiments, the operation efficiency, operation accuracy and safety are improved. Specifically, by analyzing real-time cloud information and determining which areas have weather conditions that are more suitable for weather operations, the success rate of weather operations can be significantly improved; by flexibly adjusting the operation plan through real-time cloud thickness, real-time cloud temperature, real-time cloud humidity, and real-time moving speed, the efficiency of weather operations can be improved, which is more time-saving and more accurate than the traditional operation based on weather forecasts; by using drones to replace manual weather operations, casualties of flight personnel can be effectively avoided and the safety of operations can be improved; at the same time, drones can perform weather operations under severe weather conditions such as high temperature, low temperature, and heavy rain, without being restricted by ground traffic and terrain, which improves the efficiency and accuracy of artificial weather operations.

[0030] In some embodiments, in order to further solve the second technical problem described in the background technology section, that is, "in traditional weather operations, catalysts are often distributed in standard amounts, lacking targeted catalyst usage planning, resulting in poor weather operation results; traditional weather operations lack comprehensive considerations when planning flight delivery paths, resulting in low operation efficiency and safety", in some embodiments of the present invention, before obtaining real-time cloud information of each of the multiple operation sub-areas, it also includes: Generate a catalyst preparation plan corresponding to the target weather operation information according to the weather operation demand information and the target operation area; The catalyst preparation scheme is generated by the following steps: Step 1: obtaining catalyst characteristics of each catalyst type from a plurality of catalyst types; matching a catalyst type corresponding to the weather operation requirement information from a plurality of catalyst types according to the weather operation requirement information, and determining the successfully matched catalyst type as the target catalyst type; In some embodiments, the execution subject locally stores a catalyst type library, and on this basis, obtains catalyst information of each catalyst type from the catalyst type library, wherein the catalyst information includes catalyst characteristics. Specifically, the catalyst type library includes multiple weather operation requirements and catalyst types corresponding to each weather operation requirement information, and the multiple catalyst types may include but are not limited to silver iodide, dry ice, and liquid carbon dioxide. If the weather operation requirement information is a rainmaking requirement, the catalyst type corresponding to the weather operation requirement information is matched from multiple catalyst types as silver iodide, and silver iodide is determined as the target catalyst type. Silver iodide is currently the main catalyst for artificial rainmaking and hail prevention. The catalyst characteristics of silver iodide are high nucleation rate, photosensitivity, stability, and safety. Usually, a dozen to dozens of grams of silver iodide are effective for a cumuliform cloud, so the total amount of release is also very small.

[0031] Step 2: Obtain the area range corresponding to the target operation area, and determine the initial catalyst carrying amount corresponding to the weather operation demand information according to the area range corresponding to the target operation area; adjust the initial catalyst carrying amount according to the catalyst characteristics corresponding to the target catalyst to obtain an updated catalyst carrying amount; calculate the updated catalyst carrying amount and the preset safety amount to obtain a standard catalyst carrying amount corresponding to the target weather operation information; In some embodiments, the flight operation task terminal also includes a regional range corresponding to the target operation area. On this basis, the regional range corresponding to the target operation area is obtained from the flight operation task terminal. Specifically, the regional range of the target operation area can be 1,200 square kilometers. When the target operation area is area A, the regional range of area A is the area of ​​the entire area A. The execution subject locally stores a pre-configured catalyst usage table and a pre-configured silver iodide adjustment table. On this basis, the pre-configured catalyst usage table is obtained. The catalyst usage table includes multiple regional range intervals, and the catalyst usage corresponding to each regional range interval. Specifically, the multiple regional range intervals can be 200 to 500 square kilometers (excluding 500), 500 to 1,000 square kilometers, and 1,000 to 2,000 square kilometers; the catalyst usage corresponding to each regional range interval can be 2,000 grams for 500-1,000 square kilometers and 4,000 grams for 1,000 to 2,000 square kilometers. By querying the regional range of the target operation area in the catalyst usage table, the initial catalyst carrying amount can be 4,000 grams. Since the catalyst characteristic of silver iodide is strong ice-forming ability, excessive use will cause waste of resources and environmental pollution. A pre-configured silver iodide adjustment table is obtained. The silver iodide adjustment table includes multiple dosage intervals, and the adjustment value corresponding to each dosage interval is specifically, multiple dosage intervals can be 3500 to 4500 (including 4500), 4500 to 5500 (including 5500), and the adjustment value corresponding to each dosage interval can be 3500 to 4500. The adjustment value corresponding to the adjustment value is reduced by 5%. By querying the initial catalyst carrying amount of 4000 grams in the silver iodide adjustment table, the adjustment value corresponding to 4000 grams is reduced by 5%, and the updated catalyst carrying amount is 3800 grams. The calculation process is: first multiply 4000 by 0.05 to equal 200, and then subtract 200 from 4000 to obtain the updated catalyst carrying amount of 3800 grams. Add the updated catalyst carrying amount to the preset safety amount to obtain the standard catalyst carrying amount corresponding to the target weather operation information. The preset safety amount is 1000 grams, and the standard catalyst carrying amount corresponding to the target weather operation information is 4800 grams. In order to ensure the operation effect and take into account possible errors and many uncertain factors, a certain safety amount is usually added to the calculated updated catalyst carrying amount.

[0032] Step 3, generating a catalyst packaging plan for the catalyst type stored on the UAV according to the catalyst characteristics corresponding to the catalyst type corresponding to the weather operation demand information; Step 4: Generate a catalyst preparation plan based on the catalyst type, standard catalyst carrying amount and catalyst packaging plan corresponding to the weather operation demand information.

[0033] In some embodiments, if the catalyst type corresponding to the weather operation demand information is silver iodide, the characteristics of silver iodide are high nucleation rate, photosensitivity, stability, and safety. The execution subject locally stores a pre-configured catalyst packaging library. On this basis, the pre-configured catalyst packaging library is obtained, and the characteristics of silver iodide are matched in the catalyst packaging library. The catalyst packaging library includes multiple catalyst characteristics and packaging materials corresponding to each catalyst characteristic. For example, the packaging material corresponding to photosensitivity is a light-proof plastic bag or a light-proof glass bottle with a light-proof function. By querying the catalyst packaging library, it is obtained that the packaging solution for silver iodide is an inner layer of an aluminum foil bag to prevent silver iodide from leaking; the middle layer is a light-proof plastic bag; and the outer layer is a carton or metal box to improve safety and stability. In some embodiments, the catalyst preparation plan is composed of a catalyst type, a standard catalyst carrying amount, and a catalyst packaging plan. Specifically, the catalyst type corresponding to the rain enhancement demand may be silver iodide, the standard catalyst carrying amount of silver iodide is 3,800 grams, and the packaging solution for silver iodide is an inner aluminum foil bag, a middle light-proof plastic bag, and an outer carton.

[0034] The catalyst scheduling control scheme also includes a flight planning scheme, wherein the flight planning scheme includes a flight delivery path, a flight altitude, and a flight speed. The flight delivery path is determined by the following steps: Step 1: Obtain an aerial electronic map of the target operation area, and determine multiple flight delivery paths in the aerial electronic map according to the catalyst standard delivery area group; In some embodiments, an aerial electronic map of area A is obtained from an open source electronic map interface, and path planning is performed to obtain multiple flight delivery paths, wherein each of the multiple flight delivery paths includes a catalyst standard delivery area group, for example, the catalyst standard delivery area group includes catalyst standard delivery area 1, catalyst standard delivery area 2, and catalyst standard delivery area 3, and the multiple flight delivery paths may include flight delivery path 1, flight delivery path 2, flight delivery path 3, and flight delivery path 4, and each flight delivery path passes through catalyst standard delivery area 1, catalyst standard delivery area 2, and catalyst standard delivery area 3.

[0035] Step 2: Obtain a historical weather data set for the target operation area, input the historical weather data set into a pre-trained numerical weather forecast model, and determine an operation time period suitable for the weather operation in the target operation area; In some embodiments, a historical weather data set of the target operation area in the past half month is obtained from the meteorological data platform interface. The historical weather data in the historical weather data set may include temperature, humidity, precipitation, air pressure, wind speed and wind direction, etc. in multiple time periods every day in the past half month. The historical weather data set is input into a pre-trained numerical weather forecast model (such as WRF). The structure of the numerical weather forecast model is a convolutional neural network, which is pre-trained with a large number of weather data sets and is used to predict the type of meteorological area and the operation time period suitable for the target operation area to perform weather operations. Assuming that the historical weather data set of area A is input into the pre-trained numerical weather forecast model, it is obtained that the cloud thickness from 8 am on July 5, 2024 to 10 am on July 5, 2024 is suitable for weather rain enhancement operations, then the operation time period corresponding to the weather operation can be from 8 am on July 5, 2024 to 10 am on July 5, 2024.

[0036] Step 3: Obtain a flight route group for the target operation area during the operation time period; remove flight delivery paths that conflict with flight routes in the flight route group from among the multiple flight delivery paths to obtain an updated flight delivery path group; In some embodiments, the executing entity can obtain the flight route group of zone A from 8:00 a.m. on July 5, 2024 to 10:00 a.m. on July 5, 2024 from an open source flight information platform. The flight route group may include flight route 1 and flight route 2. If flight delivery path 3 and flight route 1 have overlapping sections in multiple flight delivery paths, conflicts will occur during the flight delivery process. Therefore, flight delivery path 3 is removed from the multiple flight delivery paths. After the update, the flight delivery path group includes flight delivery path 1, flight delivery path 2, and flight delivery path 4.

[0037] Step 4: obtaining weather forecast information corresponding to each of the multiple operation sub-areas in the operation time period, the weather forecast information including expected temperature, expected humidity, expected air pressure, expected wind speed and direction, and expected precipitation intensity; inputting the weather forecast information corresponding to each operation sub-area into a numerical weather forecast model to obtain a meteorological area type corresponding to each operation sub-area, the meteorological area type including a normal meteorological area and an abnormal meteorological area; In some embodiments, since the drone will pass through any one of the multiple operating sub-areas when delivering catalyst to each catalyst standard delivery area in the catalyst standard delivery area group, it is necessary to determine the meteorological area type of each operating sub-area. The weather forecast information corresponding to each operating sub-area is obtained from the meteorological data platform interface, and the weather forecast information includes expected temperature, expected humidity, expected air pressure, expected wind speed and direction, and expected precipitation intensity. Normal meteorological areas refer to areas where meteorological conditions are relatively stable and suitable for operations; while abnormal meteorological areas include extreme weather areas, such as strong wind areas, heavy rain areas, high temperature areas or low temperature areas, etc. Extreme weather areas are not conducive to weather operations.

[0038] Step 5, analyzing each flight delivery path in the updated flight delivery path group to determine whether there is an abnormal meteorological area in each flight delivery path. If not, the path safety attribute of the flight delivery path is determined to be level one, and the flight delivery path corresponding to the level one path safety attribute is added to the level one flight delivery path group; if so, the path safety attribute of the flight delivery path is determined to be level two, and the flight delivery path corresponding to the level two path safety attribute is added to the level two flight delivery path group; wherein, each flight delivery path in the level one flight delivery path group and the level two flight delivery path group corresponds to a safety score, the safety scores of each flight delivery path in the level one flight delivery path group are the same, and the safety scores of each flight delivery path in the level two flight delivery path group are the same; In some embodiments, each flight delivery path in the updated flight delivery path group is analyzed. If there is no abnormal weather area in the flight delivery path 1 in the updated flight delivery path group, the path safety attribute of the flight delivery path 1 is determined to be level one and added to the level one flight delivery path group. If there is an abnormal weather area in the flight delivery path 2 and the flight delivery path 4, the path safety attributes of the flight delivery path 2 and the flight delivery path 4 are determined to be level two and added to the level two flight delivery path group. Among them, each flight delivery path in the level one flight delivery path group and the level two flight delivery path group corresponds to a safety score, and the execution subject locally stores a pre-configured path safety score table. On this basis, the pre-configured path safety score table is obtained, and the pre-configured path safety score table is obtained. The path safety score table includes multiple path safety attributes and the safety score corresponding to each path safety attribute. The path safety attribute of each flight delivery path is matched in the path safety score table to obtain the safety score corresponding to each flight delivery path. For example, the safety score corresponding to the flight delivery path 1 is 95 points, and the safety scores corresponding to the flight delivery path 2 and the flight delivery path 4 are both 87 points.

[0039] Step six, obtaining the flight distance of each flight delivery path in the first-level flight delivery path group and the flight distance of each flight delivery path in the second-level flight delivery path group, scoring each flight delivery path in the first-level flight delivery path group and each flight delivery path in the second-level flight delivery path group according to the flight distance of each flight delivery path, and obtaining the flight distance score of each flight delivery path; configuring weights for the flight distance score of the flight delivery path and the safety score of the flight delivery path respectively, calculating the flight distance score of each flight delivery path and the safety score of each flight delivery path by weights, and determining the total score of each flight delivery path; sorting each flight delivery path in order from large to small according to the total score of each flight delivery path, and obtaining a flight delivery path sequence; selecting a target number of flight delivery paths from the flight delivery path sequence as alternative flight delivery paths and adding them to the alternative flight delivery path group, and taking the alternative flight delivery path with the highest total score in the alternative flight delivery path group as the standard flight delivery path.

[0040] In some embodiments, the flight distance corresponding to flight delivery path 1 obtained from the open source electronic map interface is 280 kilometers, the flight distance corresponding to flight delivery path 2 is 240 kilometers, and the flight distance corresponding to flight delivery path 4 is 310 kilometers. Each flight delivery path is scored according to the preset scoring standard, and the preset scoring standard is that the score for distances of 200 to 250 kilometers (including 250) is 93 points, the score for distances of 250 to 300 kilometers (including 300) is 89 points, and the score for distances of 300 to 350 kilometers (including 350) is 82 points. Then the score corresponding to flight delivery path 1 is 89 points, the score corresponding to flight delivery path 2 is 93 points, and the score corresponding to flight delivery path 3 is 82 points. A weight of 45% is assigned to the flight distance score of the flight delivery path, and a weight of 55% is assigned to the safety score of the flight delivery path. The flight distance score of each flight delivery path and the safety score of each flight delivery path are calculated by weight, and the total score of flight delivery path 1 is 92.3 points (45% multiplied by 89 plus 55% multiplied by 95 equals 92.3). Similarly, the total score of flight delivery path 2 is 89.7 points, and the total score of flight delivery path 4 is 84.75 points. On this basis, each flight delivery path is sorted in descending order according to the total score of each flight delivery path to obtain a flight delivery path sequence, which includes flight delivery path 1, flight delivery path 2, and flight delivery path 4. A target number (2) of flight delivery paths can be selected from the flight delivery path sequence as alternative flight delivery paths and added to the alternative flight delivery path group. The alternative flight delivery path group includes flight delivery path 1 and flight delivery path 2. Flight delivery path 1 has the highest total score. Flight delivery path 1 is used as the standard flight delivery path, and flight delivery path 2 is used as the alternative flight delivery path. When flight delivery path 1 encounters an emergency, it is switched to flight delivery path 2. By eliminating paths that conflict with flight routes, it is ensured that flight delivery activities will not interfere with normal flight operations, thereby avoiding potential air traffic conflicts; by analyzing and scoring the path safety attributes and flight distance of each flight delivery path, the flight delivery path with the highest score is selected as the standard flight delivery path, effectively preventing drones from entering these abnormally dangerous areas, ensuring flight safety and stability, improving flight efficiency, and reducing flight costs.

[0041] Among them, the flight altitude and flight speed are determined by the following steps: Step 1: Segment each alternative flight delivery path in the alternative flight delivery path group to obtain multiple flight sub-segments of each alternative flight delivery path; In some embodiments, each alternative flight delivery path in the alternative flight delivery path group is segmented to obtain multiple flight sub-segments of each alternative flight delivery path, wherein each flight sub-segment has the same length. Because each of the multiple flight sub-segments on each alternative flight delivery path corresponds to a different cloud layer height, different cloud layer heights correspond to different flight heights. Specifically, the multiple flight sub-segments may include flight sub-segment 1, flight sub-segment 2, and flight sub-segment 3.

[0042] Step 2: Obtain the cloud height corresponding to each flight sub-segment in the multiple flight sub-segments, determine the cloud height greater than or equal to the first preset cloud height as the first cloud height; determine the cloud height less than the first preset cloud height and greater than or equal to the second preset cloud height as the second cloud height; determine the cloud height less than the second preset cloud height as the third cloud height; In some embodiments, assuming that the cloud height corresponding to flight sub-segment 1 is 9,000 meters, the cloud height of the first preset cloud height is 8,000 meters, and the second preset cloud height is 2,000 meters, the cloud height corresponding to flight sub-segment 1 is greater than the first preset cloud height, and the cloud height corresponding to flight sub-segment 1 is determined as the first cloud height.

[0043] Step 3: Obtain the UAV model information corresponding to the target weather operation information, and determine the flight altitude corresponding to each flight sub-segment based on the UAV model information and the cloud height corresponding to each flight sub-segment, wherein one cloud height corresponds to one flight altitude, and the UAV model information includes model type, real-time fuel storage, and maximum cruising altitude; In some embodiments, the corresponding drone model information is obtained from the planning record corresponding to the target weather operation information. The drone model information may be drone parameter information corresponding to a medium-sized drone. The drone model information includes model type, real-time fuel storage, and maximum cruising altitude. Among them, the model type in the drone parameter information may be a medium-sized drone. The real-time fuel storage in the drone parameter information may be 120 kilograms, and the real-time fuel storage will decrease as the flight time increases. The maximum cruising altitude in the drone parameter information may be 10,000 meters.

[0044] In some embodiments, the execution subject locally stores a pre-configured flight altitude table, on this basis, obtain the pre-configured flight altitude table, the flight altitude table includes multiple cloud layer altitude intervals and the flight altitude corresponding to each cloud layer altitude interval. The cloud layer altitude corresponding to the flight sub-segment is matched in the flight altitude table to obtain the flight altitude corresponding to the flight sub-segment. When the cloud layer altitude of flight sub-segment 1 is 9000 meters, it is matched in the flight altitude table to obtain the flight altitude corresponding to flight sub-segment 1, which may be 9500 meters. The cloud layer altitude corresponding to the flight sub-segment is required to meet the preset flight altitude standard, and the preset flight altitude standard is not to exceed the maximum cruising altitude of the UAV. If it exceeds the maximum cruising altitude of the UAV after matching, the matched flight altitude is adjusted. The adjusted flight altitude is the maximum cruising altitude of the UAV minus the preset value, which may be 300 meters. For example, if the maximum cruising altitude is 10000 meters, the adjusted flight altitude is 9700 meters; if it does not exceed the maximum cruising altitude of the UAV by 10000 meters after matching, the flight altitude of flight sub-segment 1 is the value of the flight altitude matched in the flight altitude table. In order to maintain flight safety and operational effectiveness, the flight altitude corresponding to flight sub-section 1 is set at 9,500 meters.

[0045] Step 4: Obtain the real-time moving speed of the cloud layer for each flight sub-segment, and determine the first flight speed corresponding to each flight sub-segment based on the real-time moving speed of the cloud layer corresponding to each flight sub-segment; adjust the first flight speed based on the real-time fuel storage amount corresponding to the UAV model information to obtain the adjusted flight speed corresponding to each flight sub-segment.

[0046] In some embodiments, the real-time moving speed of the cloud layer corresponding to each flight sub-segment is obtained from the meteorological detection equipment. The real-time moving speed of the cloud layer refers to the horizontal moving speed of the cloud layer relative to the ground in a specific time and space. Assuming that the real-time moving speed of the cloud layer corresponding to flight sub-segment 1 is 40 kilometers per hour, a pre-established cloud layer moving speed table is obtained. The cloud layer moving speed table includes multiple cloud layer real-time moving speed intervals and the flight speed corresponding to each cloud layer real-time moving speed interval. Specifically, the multiple cloud layer real-time moving speed intervals can be 31 to 35 kilometers per hour (including 31 and 35) and 36 to 40 kilometers per hour (including 36 and 40); the flight speed corresponding to each cloud layer real-time moving speed interval can be 38 kilometers per hour for 31 to 35 kilometers per hour, and 42 kilometers per hour for 36 to 40 kilometers per hour. By matching the real-time moving speed of the cloud layer corresponding to each flight sub-segment in the cloud layer moving speed table, the first flight speed corresponding to each flight sub-segment is obtained, wherein the first flight speed corresponding to flight sub-segment 1 can be 700 to 900 kilometers per hour.

[0047] In some embodiments, if the real-time fuel reserve is more than 50%, the adjusted flight speed corresponding to flight sub-segment 1 is 900 km / h; if the real-time fuel reserve is less than 50%, the adjusted flight speed corresponding to flight sub-segment 1 is 700 km / h. The flight altitude and flight speed are flexibly adjusted according to the cloud height and real-time moving speed of the clouds in different flight segments, so that the drone can adapt to changing weather conditions, enhance flight safety and flexibility, and improve flight efficiency.

[0048] The catalyst scheduling control method used in aircraft weather modification operations also includes: Step 1: obtaining a cloud image group of each catalyst standard placement area in the catalyst standard placement area group, and performing feature extraction on the cloud image group to obtain cloud thickness features corresponding to each catalyst standard placement area; analyzing the cloud thickness features to obtain a first prediction probability corresponding to each catalyst standard placement area; Step 2: if the first predicted probability corresponding to each catalyst standard delivery area is not within the first preset probability interval, then generating a catalyst delivery amount adjustment plan corresponding to each catalyst standard delivery area; In some embodiments, the flight terminal device is also equipped with an image acquisition device, and the background server can establish a communication connection with the image acquisition device (meteorological satellite) configured on the flight terminal device. The image acquisition device is used to acquire images of each standard catalyst delivery area, thereby obtaining a cloud image group of each standard catalyst delivery area and uploading it to the background server. Feature extraction is performed on the cloud image group, and the cloud image group is input into the convolutional neural network to obtain the cloud thickness feature corresponding to each standard catalyst delivery area. The cloud thickness feature corresponding to each standard catalyst delivery area is input into the pre-trained weather operation prediction model to obtain the first prediction probability of each standard catalyst delivery area. When the weather operation demand information is a rain increase demand, the prediction probability corresponding to each standard catalyst delivery area can be the probability of predicting rain, which can be 82%. The structure of the weather operation prediction model is a convolutional neural network, which has been trained in advance with a large number of meteorological data sets to obtain the prediction probability after the weather operation. The first preset probability interval is 70% to 80%. If the predicted probability corresponding to catalyst standard delivery area 2 is 60%, which is not in the first preset probability interval, a catalyst delivery amount adjustment plan corresponding to catalyst standard delivery area 2 is generated. The catalyst delivery amount adjustment plan is to re-deliver the catalyst in catalyst standard delivery area 2.

[0049] Step 3, obtaining and analyzing the environmental parameters of each catalyst standard placement area to obtain a second predicted probability of each catalyst standard placement area; Step 4: If the second predicted probability corresponding to each catalyst standard delivery area is not within the second preset probability interval, a flight altitude adjustment plan and a flight speed adjustment plan corresponding to each catalyst standard delivery area are generated.

[0050] In some embodiments, the flight terminal device is also equipped with a microphysical detection device (such as a particle spectrometer, a cloud droplet spectrometer, etc.), and the background server can establish a communication connection with the microphysical detection device. The microphysical detection device obtains the environmental parameters of each catalyst standard delivery area; specifically, the environmental parameters can be cloud droplet number density and wind speed. The environmental parameters corresponding to the catalyst standard delivery area 1 are input into the weather operation prediction model to obtain the second predicted probability of 70% for the catalyst standard delivery area 1; if the second predicted probability is not in the second preset probability interval (80% to 90%), the flight height adjustment scheme and flight speed adjustment scheme corresponding to the catalyst standard delivery area 1 are generated. The execution subject locally stores a pre-constructed environmental parameter adjustment table, on this basis, obtains the pre-constructed environmental parameter adjustment table, the environmental parameter adjustment table includes multiple predicted probabilities, the flight height and flight speed corresponding to each predicted probability, for example, the second predicted probability of 70% of the catalyst standard delivery area 1 is matched in the environmental parameter adjustment table, and the flight height and flight speed of the catalyst standard delivery area 1 are obtained as the flight height adjustment scheme and flight speed adjustment scheme corresponding to the catalyst standard delivery area. The adjusted flight altitude is lower than the flight altitude before the adjustment, and the adjusted flight speed is slower than the flight speed before the adjustment, because the lower flight altitude is closer to the water vapor condensation area in the clouds, which is conducive to the formation of ice crystals; slowing down the flight speed in order to stay longer in the clouds gives the catalyst (silver iodide) more time to work and promotes the formation of ice crystals.

[0051] In some embodiments, the effectiveness and safety of weather operations are guaranteed. Specifically, the types of catalysts that are effective for weather operations and the appropriate amount of catalysts to be carried are screened out according to the operation requirements and regional scope, which can improve the accuracy and success rate of the operation; the paths that conflict with the flight routes are eliminated, and the flight delivery paths are optimized by the path safety attributes and flight distance of the flight delivery paths to ensure that the flight delivery operations will not interfere with normal flight operations, and can also effectively prevent drones from entering abnormally dangerous areas, ensure flight safety, improve flight efficiency, and reduce flight costs; secondary catalyst delivery is carried out in areas where the probability of operation results is predicted to be low after weather operations, and the flight altitude and speed are adjusted in combination with real-time environmental parameters, thereby optimizing the operation effect and improving the efficiency and safety of weather operations.

[0052] In some embodiments, in order to further solve the technical problem three described in the background technology section, that is, "when the demand for catalyst increases due to the complexity and suddenness of weather conditions during artificial influence operations, the staff relies too much on experience and judgment to determine the amount of catalyst to be added, and lacks efficient and flexible response strategies, resulting in forced interruption of weather operations and reduced efficiency of weather operations", some embodiments of the present invention also include: Step 1: Obtain a historical weather operation information table, which includes multiple historical cloud categories, multiple catalyst delivery amounts corresponding to each historical cloud category, and an operation completion rate corresponding to each catalyst delivery amount; In some embodiments, a historical weather operation information table of weather operation demand information matching the target flight terminal device is obtained from the weather operation database. For example, if the weather operation demand information of the target flight terminal device is a rain enhancement demand, a historical weather operation information table of rain enhancement demand is obtained from the weather operation database. The historical weather operation information table includes multiple historical cloud layer categories, multiple catalyst delivery amounts corresponding to each historical cloud layer category, and the operation completion rate corresponding to each catalyst delivery amount. Specifically, the multiple historical cloud layer categories in the historical weather operation information table may be cumuliform clouds, convective clouds, and cumulus clouds. The multiple catalyst delivery amounts corresponding to each historical cloud layer category in the historical weather operation information table may be catalyst delivery amount 1 (100 grams) and catalyst delivery amount 2 (120 grams) corresponding to cumuliform clouds. The operation completion rate corresponding to each catalyst delivery amount in the historical weather operation information table may be that the operation completion rate corresponding to catalyst delivery amount 1 is 91%, the operation completion rate corresponding to catalyst delivery amount 2 is 90.5%, and the operation completion rate corresponding to catalyst delivery amount 3 is 88.5%.

[0053] Step 2: For each historical cloud layer category, a catalyst amount greater than a preset operation completion rate is selected from multiple catalyst amounts to be added to an alternative catalyst amount group; an alternative catalyst amount with the least catalyst amount is selected from the alternative catalyst amount group as a predicted catalyst amount, and a predicted catalyst amount corresponding to each historical cloud layer category in multiple historical cloud layer categories is obtained; In some embodiments, for each historical cloud layer category, a catalyst amount greater than the preset operation completion rate corresponding to a plurality of catalyst amounts is selected and added to the alternative catalyst amount group. The preset operation completion rate is a value that can achieve the operation effect. When the catalyst amount reaches the preset operation completion rate, the use of too much catalyst not only increases the cost, but also may cause a waste of resources. As an example, when the historical cloud layer category is cumuliform clouds, the preset operation completion rate is 90%, and there are catalyst amounts 1, catalyst amounts 2, and catalyst amounts 3 in the plurality of catalyst amounts corresponding to the cumuliform clouds, if the operation completion rate of the catalyst amount 1 corresponding to the cumuliform clouds and the operation completion rate of the catalyst amount 2 are greater than the preset operation completion rate, the catalyst amount 1 and the catalyst amount 2 are added to the alternative catalyst amount group, and the catalyst amount 1 (100 grams) is less than the catalyst amount 2 (120 grams), and the catalyst amount 1 (100 grams) is used as the catalyst predicted amount. The alternative catalyst amount with the least catalyst amount is selected as the catalyst predicted amount, which ensures that the operation effect is achieved, avoids resource waste and reduces costs.

[0054] Step 3: Determine the catalyst standard delivery area that is not in operation in the catalyst standard delivery area group corresponding to the target flight terminal equipment as a non-operating area, and obtain a non-operating area group; obtain the real-time cloud type of each non-operating area in the non-operating area group, match and calculate the real-time cloud type of each non-operating area with each historical cloud category, and obtain the predicted total usage of the catalyst corresponding to the target flight terminal equipment; In some embodiments, the catalyst standard delivery area that is not operated in the catalyst standard delivery area group corresponding to the target flight terminal device is determined as a non-operation area, and a non-operation area group is obtained. Specifically, the target flight terminal device is a flight terminal device that is performing weather operations, the non-operation area is an area where catalyst delivery is not performed, and the non-operation area group is a plurality of non-operation areas in the catalyst standard delivery area group, which may be a non-operation area 1 and a non-operation area 2. In reality, it generally includes a plurality of non-operation areas, and only non-operation area 1 and non-operation area 2 are used as examples. The real-time cloud type of each non-operation area in the non-operation area group is obtained from the meteorological detection equipment, and the real-time cloud type of each non-operation area may be a real-time cloud type of non-operation area 1 as cumuliform cloud, and a real-time cloud type of non-operation area 2 as convective cloud. The cumuliform cloud of non-operation area 1 is matched with the historical cumuliform cloud, and the matching condition is that the cloud type of the non-operation area and the historical cloud type are the same as the match is successful, and the catalyst predicted amount corresponding to the historical cumuliform cloud of non-operation area 1 is obtained as 100 grams. The convective clouds in the non-operating area 2 are matched with the historical convective clouds. After matching, the predicted amount of catalyst for the non-operating area 2 corresponding to the historical convective clouds is 130 grams. The predicted amount of catalyst for each non-operating area is added together, and the total predicted amount of catalyst corresponding to the target flight terminal equipment is 230 grams.

[0055] Step 4, obtaining the catalyst remaining amount of the target flight terminal device, comparing the catalyst remaining amount of the target flight terminal device with the predicted total catalyst usage, if the catalyst remaining amount is less than the predicted total catalyst usage, generating a catalyst replenishment instruction corresponding to the target flight terminal device, and sending the catalyst replenishment instruction to the target flight terminal device, so that the target flight terminal device executes the catalyst replenishment instruction; In some embodiments, the catalyst remaining amount of the target flight terminal device is obtained from the terminal of the target flight terminal device, and the catalyst remaining amount may be 200 grams. The catalyst remaining amount is compared with the predicted total catalyst usage. If the catalyst remaining amount (200 grams) is less than the predicted total catalyst usage (230 grams), a catalyst replenishment instruction corresponding to the target flight terminal device is generated.

[0056] Step five, obtain the catalyst filling station location information corresponding to the target flight terminal equipment and the real-time location information corresponding to the target flight terminal equipment, and determine the target route for the target flight terminal equipment to return to the catalyst filling station based on the catalyst filling station location information and the real-time location information; determine the non-operated area in the non-operated area group that overlaps with the target route as the along-the-way operating area, obtain the along-the-way operating area group, and send the along-the-way operating area group to the target flight terminal equipment, so that the target flight terminal equipment can operate on the along-the-way operating area group.

[0057] In some embodiments, the location information of the catalyst refueling station corresponding to the target flight terminal device is obtained from the flight operation mission terminal. The target flight terminal device is equipped with a positioning device, and the real-time location information of the target flight terminal device is obtained from the positioning device of the target flight terminal device. The location information of the catalyst refueling station corresponding to the target flight terminal device and the real-time location information corresponding to the target flight terminal device are input into the open source electronic map for path planning, and the target route for the target flight terminal device to return to the catalyst refueling station is obtained. The unoperated area in the unoperated area group that overlaps with the target route is determined as the along-the-way operating area, and the along-the-way operating area group is obtained. The along-the-way operating area group can be the unoperated area 1 and the unoperated area 2.

[0058] In some embodiments, the efficiency of weather operations is improved and the continuity of weather operations is ensured. Specifically, according to the real-time cloud type and historical data matching, the catalyst delivery amount with high operation completion rate and minimum usage is analyzed from the historical data as the predicted total catalyst usage, which not only ensures the operation effect but also avoids waste of resources. At the same time, by real-time monitoring of the catalyst surplus, it is possible to prevent operation interruptions or emergency returns of drones due to catalyst shortages, thereby improving operation efficiency. In addition, for flight terminal equipment with insufficient catalyst surplus, planning a return route and operating the unoperated areas on this return route can ensure that the flight terminal equipment can effectively use time to perform necessary operations on the way back to the supply station, avoiding idle resources, and helping to maximize the utilization of flight terminal equipment while reducing unnecessary flight time and energy consumption.

[0059] The above descriptions are only some preferred embodiments of the present invention and the explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the present invention is not limited to the technical solutions formed by the specific combination of the above technical features, but also should cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present invention (but not limited to) to form a technical solution.

Claims

1. A catalyst scheduling control method for aircraft weather modification operations, characterized in that: include: Acquire target weather operation information, wherein the target weather operation information includes weather operation requirement information and target operation area; Divide the target operation area according to a preset division standard to obtain a plurality of operation sub-areas; obtain real-time cloud information of each of the plurality of operation sub-areas, wherein the real-time cloud information includes real-time cloud thickness, real-time cloud temperature, and real-time cloud humidity; Inputting the real-time cloud information of each of the multiple operation sub-areas into a pre-trained deep learning model to obtain a cloud category corresponding to each operation sub-area; The plurality of operation sub-areas are screened according to the weather operation demand information and the cloud category corresponding to each operation sub-area to obtain a catalyst standard placement area group; Obtaining a preset reference delivery amount corresponding to each catalyst standard delivery area in the catalyst standard delivery area group, and obtaining a preset reference cloud thickness, a preset reference cloud temperature, and a preset reference cloud humidity; calculating the real-time cloud thickness of each catalyst standard delivery area and the preset reference cloud thickness to obtain a first calculation result; Calculating the real-time cloud layer temperature of each catalyst standard placement area and the preset reference cloud layer temperature to obtain a second calculation result; Calculate the real-time cloud humidity of each catalyst standard placement area and the preset reference cloud humidity to obtain a third calculation result; Combining the first calculation result, the second calculation result and the third calculation result to obtain a calculation result group for each catalyst standard delivery area; According to the calculation result group of each catalyst standard delivery area, the preset reference delivery amount corresponding to each catalyst standard delivery area is adjusted to obtain the catalyst delivery amount corresponding to each catalyst standard delivery area; Obtaining a catalyst diffusion speed corresponding to a catalyst type corresponding to the weather operation demand information, and determining a catalyst placement speed corresponding to a catalyst standard placement area according to the catalyst diffusion speed; A catalyst scheduling control plan is generated based on the catalyst standard delivery area group, the catalyst delivery amount corresponding to each catalyst standard delivery area, and the catalyst delivery speed corresponding to the catalyst standard delivery area, and the catalyst scheduling control plan is sent to the flight terminal device to control the flight terminal device to execute the catalyst scheduling control plan.

2. The catalyst scheduling control method for aircraft weather modification operations according to claim 1, characterized in that: Before acquiring the real-time cloud layer information of each of the multiple operating sub-areas, the method further includes: generating a catalyst preparation plan corresponding to the target weather operation information according to the weather operation demand information and the target operation area; Wherein, the catalyst preparation scheme is generated by the following steps: Acquire catalyst characteristics of each catalyst type from a plurality of catalyst types; match a catalyst type corresponding to the weather operation requirement information from the plurality of catalyst types according to the weather operation requirement information, and determine the successfully matched catalyst type as a target catalyst type; Obtaining the area range corresponding to the target operating area, and determining the initial catalyst carrying amount corresponding to the weather operating demand information according to the area range corresponding to the target operating area; adjusting the initial catalyst carrying amount according to the catalyst characteristics corresponding to the target catalyst to obtain an updated catalyst carrying amount; calculating the updated catalyst carrying amount and a preset safety amount to obtain a standard catalyst carrying amount corresponding to the target weather operating information; Generating a catalyst packaging scheme for the catalyst type stored on the UAV according to the catalyst characteristics corresponding to the catalyst type corresponding to the weather operation demand information; Generate a catalyst preparation plan based on the catalyst type, standard catalyst carrying amount and catalyst packaging plan corresponding to the weather operation demand information.

3. The catalyst scheduling control method for aircraft weather modification operations according to claim 2, characterized in that: The catalyst scheduling control scheme also includes a flight planning scheme, wherein the flight planning scheme includes a flight delivery path, a flight altitude, and a flight speed, and the flight delivery path is determined by the following steps: Acquire an aerial electronic map of the target operation area, and determine a plurality of flight delivery paths in the aerial electronic map according to the catalyst standard delivery area group; Acquire a historical weather data set of the target operation area, input the historical weather data set into a pre-trained numerical weather forecast model, and determine an operation time period corresponding to weather operations suitable for the target operation area; Obtaining a flight route group for the target operation area during the operation time period; removing flight delivery paths from the multiple flight delivery paths that conflict with flight routes in the flight route group to obtain an updated flight delivery path group; Obtaining weather forecast information corresponding to each of the multiple operation sub-areas in the operation time period, the weather forecast information including expected temperature, expected humidity, expected air pressure, expected wind speed and direction, and expected precipitation intensity; inputting the weather forecast information corresponding to each operation sub-area into the numerical weather forecast model to obtain a meteorological area type corresponding to each operation sub-area, the meteorological area type including a normal meteorological area and an abnormal meteorological area; Analyze each flight delivery path in the updated flight delivery path group to determine whether the abnormal meteorological area exists in each flight delivery path. If not, determine the path safety attribute of the flight delivery path as level one, and add the flight delivery path corresponding to the level one with the path safety attribute to the level one into the level one flight delivery path group; if so, determine the path safety attribute of the flight delivery path as level two, and add the flight delivery path corresponding to the level two with the path safety attribute to the level two into the level two flight delivery path group; wherein each flight delivery path in the level one flight delivery path group and the level two flight delivery path group corresponds to a safety score, the safety scores of the flight delivery paths in the level one flight delivery path group are the same, and the safety scores of the flight delivery paths in the level two flight delivery path group are the same; The flight distance of each flight delivery path in the first-level flight delivery path group and the flight distance of each flight delivery path in the second-level flight delivery path group are obtained, and each flight delivery path in the first-level flight delivery path group and each flight delivery path in the second-level flight delivery path group are scored according to the flight distance of each flight delivery path to obtain a flight distance score of each flight delivery path; weights are respectively configured for the flight distance score of the flight delivery path and the safety score of the flight delivery path, and the flight distance score of each flight delivery path and the safety score of each flight delivery path are calculated by weight to determine the total score of each flight delivery path; each flight delivery path is sorted in descending order according to the total score of each flight delivery path to obtain a flight delivery path sequence; a target number of flight delivery paths are selected from the flight delivery path sequence as alternative flight delivery paths and added to the alternative flight delivery path group, and the alternative flight delivery path with the highest total score of the flight delivery path in the alternative flight delivery path group is used as the standard flight delivery path.

4. The catalyst scheduling control method for aircraft weather modification operations according to claim 3, characterized in that: The flight altitude and the flight speed are determined by the following steps: Segmenting each candidate flight delivery path in the candidate flight delivery path group to obtain a plurality of flight sub-segments of each candidate flight delivery path; Obtaining a cloud layer height corresponding to each flight sub-segment in a plurality of flight sub-segments, determining a cloud layer height greater than or equal to a first preset cloud layer height as a first cloud layer height; determining a cloud layer height less than the first preset cloud layer height and greater than or equal to a second preset cloud layer height as a second cloud layer height; and determining a cloud layer height less than the second preset cloud layer height as a third cloud layer height; Obtaining the drone model information corresponding to the target weather operation information, and determining the flight altitude corresponding to each flight sub-segment according to the drone model information and the cloud height corresponding to each flight sub-segment, wherein one cloud height corresponds to one flight altitude, and the drone model information includes the model type, real-time fuel storage, and maximum cruising altitude; The real-time moving speed of the cloud layer for each flight sub-segment is obtained, and a first flight speed corresponding to each flight sub-segment is determined according to the real-time moving speed of the cloud layer corresponding to each flight sub-segment; the first flight speed is adjusted according to the real-time fuel storage amount corresponding to the UAV model information to obtain an adjusted flight speed corresponding to each flight sub-segment.

5. The catalyst scheduling control method for aircraft weather modification operations according to claim 4, characterized in that: Also includes: Acquire a cloud layer image group of each catalyst standard placement area in the catalyst standard placement area group, and perform feature extraction on the cloud layer image group to obtain a cloud layer thickness feature corresponding to each catalyst standard placement area; Analyze the cloud thickness characteristics to obtain a first prediction probability corresponding to each catalyst standard placement area; If the first predicted probability corresponding to each catalyst standard delivery area is not within the first preset probability interval, a catalyst delivery amount adjustment plan corresponding to each catalyst standard delivery area is generated; Obtaining and analyzing environmental parameters of each catalyst standard placement area to obtain a second predicted probability of each catalyst standard placement area; If the second predicted probability corresponding to each catalyst standard delivery area is not within the second preset probability interval, a flight height adjustment plan and a flight speed adjustment plan corresponding to each catalyst standard delivery area are generated.

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