A remote control method for weather modification operations

Abstract

The present invention relates to the field of weather modification operations, and discloses a remote control method for weather modification operations, including: obtaining target weather operation information, inputting the boundary position information of the target operation area, target pollutant data, and wind field data into a preset pollutant diffusion model to obtain a simulated pollutant diffusion path map; mapping the target operation area map onto the simulated pollutant diffusion path map to obtain a target operation area mapping map; analyzing the simulated pollutant diffusion path map, and determining the operation sub-area maps that coincide with the simulated pollutant diffusion path among multiple operation sub-area maps as candidate operation sub-area maps to obtain a candidate operation sub-area map group; determining a standard operation sub-area group according to the position information of each prohibited emission area and the geological data and meteorological data corresponding to each candidate operation sub-area map. Thereby, the efficiency of determining the standard operation sub-area is improved.

Description

Technical Field

[0001] The present invention relates to the field of weather modification operations, and particularly to a remote control method for weather modification operations. Background Art

[0002] The problem of air pollution, especially the problems caused by industrial agglomeration areas, has become an important threat to human health and the ecological environment in surrounding cities. To address this problem, precipitation is promoted through weather modification operations to effectively remove suspended particulate matter (such as PM2.5, PM10, etc.) in the atmosphere, thereby reducing the air pollution concentration in industrial agglomeration areas; compared with the fixed-position operation mode, mobile operations stand out with higher efficiency, accuracy, and flexibility. They can quickly respond and adjust the operation location, greatly increasing the operation opportunities, improving the operation efficiency, and having a wider impact range.

[0003] During the existing remote control process of weather modification operations, the following technical problems often exist:

[0004] First, in the traditional weather operation aiming at reducing target pollutants by artificial rainfall enhancement, a significant challenge lies in the need to spend a large amount of time analyzing the massive data of each potential operation sub-region one by one in depth. This process is not only cumbersome and complex but also greatly reduces the efficiency of determining the standard operation sub-region, making the entire operation process lengthy and possibly missing the best operation opportunity.

[0005] Second, in the traditional operation of reducing pollutant concentration by artificial rainfall enhancement, only the short-term changes in pollutant concentration are often concerned, while other potential environmental impacts are ignored, resulting in an imbalance between short-term operation effects and environmental impacts; currently, when determining the catalyst parameters of the operation sub-region, a relatively unified and fixed method is often adopted, lacking a flexible adjustment mechanism, so it is difficult to adapt to the specific conditions of each operation sub-region, thus affecting the overall operation effect; the existing weather operations often conduct effect evaluation only after the operation, making it impossible to adjust the operation plan in time, which not only causes unnecessary waste of resources but also seriously affects the overall operation efficiency; most of the traditional detection rocket launch devices still rely on manual operation, which is not only inefficient but also prone to misjudgment due to human factors, posing a great safety hazard.

[0006] Third, after traditional weather operations, if the operation effect is not good, there is a lack of dynamic adjustment countermeasures, resulting in problems of poor operation effect and pollution diffusion. Summary of the Invention

[0007] This Summary of the Invention section is used to introduce concepts in a concise form, which will be described in detail in the following Detailed Description section. This Summary of the Invention section is not intended to identify the key features or essential features of the claimed technical solution, nor is it intended to limit the scope of the claimed technical solution.

[0008] The present invention proposes a remote control method for weather modification operations to solve one or more of the technical problems mentioned in the above Background section.

[0009] The present invention provides a remote control method for weather modification operations, including: obtaining target weather operation information, where the target weather operation information includes operation type, boundary position information and target operation area map of the target operation area, target pollutant data and wind field data, and the target pollutant data includes target pollutant types and pollutant concentrations; inputting the boundary position information, target pollutant data and wind field data of the target operation area into a preset pollutant diffusion model to obtain a simulated pollutant diffusion path map; mapping the target operation area map onto the simulated pollutant diffusion path map to obtain a target operation area mapping map; dividing the target operation area mapping map according to a preset division standard to obtain a plurality of operation sub - area maps; analyzing the simulated pollutant diffusion path map, and determining the operation sub - area maps that coincide with the simulated pollutant diffusion path in the plurality of operation sub - area maps as candidate operation sub - area maps to obtain a group of candidate operation sub - area maps; obtaining the position information of each prohibited launch area in the group of prohibited launch areas within the target operation area, as well as the geological data and meteorological data corresponding to each candidate operation sub - area in the corresponding candidate operation sub - area group of the group of candidate operation sub - area maps, and determining a group of standard operation sub - areas according to the position information of each prohibited launch area and the geological data and meteorological data corresponding to each candidate operation sub - area; obtaining the position information of each standard operation sub - area in the group of standard operation sub - areas, and sending the position information of each standard operation sub - area to the corresponding rocket launch vehicle terminal so that the corresponding rocket launch vehicle can go to the corresponding standard operation sub - area.

[0010] Optionally, the group of standard operation sub - areas is determined through the following steps:

[0011] Eliminating the candidate operation sub - areas in the group of candidate operation sub - areas where there is a group of prohibited launch areas within a preset range from the group of candidate operation sub - areas to obtain an updated group of operation sub - areas;

[0012] Selecting the updated operation sub - areas in the updated group of operation sub - areas whose geological data is within the preset geological data standard to obtain a group of alternative operation sub - areas;

[0013] Analyze the meteorological data corresponding to each alternative operation sub-region in the alternative operation sub-region group, and determine the alternative operation sub-regions that meet the preset meteorological data range as standard operation sub-regions, thereby obtaining a standard operation sub-region group.

[0014] Optionally, an artificial weather modification operation remote control method of the present invention further includes:

[0015] For each standard operation sub-region, subtract the corresponding pollutant concentration from the standard pollutant concentration threshold to obtain a pollutant concentration difference; obtain a pollutant concentration dilution effect table, and match the pollutant concentration difference in the pollutant concentration dilution effect table to obtain a predicted demand precipitation group corresponding to each standard operation sub-region; wherein, the pollutant concentration dilution effect table includes multiple pollutant concentration difference ranges and the predicted demand precipitation groups corresponding to each pollutant concentration difference range.

[0016] Obtain a surface runoff pollution load table, which includes multiple precipitation ranges and the surface runoff pollution load levels corresponding to each precipitation range.

[0017] For each standard operation sub-region, match the predicted demand precipitation group in the surface runoff pollution load table to obtain a surface runoff pollution load level group.

[0018] Remove the surface runoff pollution load levels in the surface runoff pollution load level group that are not within the preset surface runoff pollution load level range from the surface runoff pollution load level group to obtain an updated surface runoff pollution load level group.

[0019] Add the predicted demand precipitation corresponding to each updated surface runoff pollution load level in the updated surface runoff pollution load level group to the updated predicted demand precipitation group.

[0020] Sort the updated predicted demand precipitation group in descending order of the predicted demand precipitation to obtain an updated predicted demand precipitation sequence, and determine the updated predicted demand precipitation ranked first in the updated predicted demand precipitation sequence as the target demand precipitation corresponding to each standard operation sub-region.

[0021] Optionally, an artificial weather modification operation remote control method of the present invention further includes:

[0022] Obtain the target cloud mass information corresponding to each standard operation sub-region, where the target cloud mass information includes the target cloud mass type, target cloud mass height, target cloud mass water content, and target cloud mass position information.

[0023] According to the position information, target cloud mass height, and target cloud mass position information corresponding to each standard operation sub-region, determine the rocket launch elevation angle and rocket launch azimuth angle corresponding to each standard operation sub-region.

[0024] Optionally, the target catalyst name corresponding to each standard operation sub-region is determined by the following steps:

[0025] Match the target cloud mass type corresponding to each standard operation sub-region in a pre-configured weather operation catalyst table to obtain a group of alternative catalyst names corresponding to each standard operation sub-region. The weather operation catalyst table includes multiple cloud mass types and multiple catalyst names corresponding to each cloud mass type;

[0026] Obtain the adsorption degree of each alternative catalyst name in the group of alternative catalyst names corresponding to each standard operation sub-region, sort the group of alternative catalyst names in descending order of adsorption degree to obtain a sequence of alternative catalyst names, and use the alternative catalyst name ranked first in the sequence of alternative catalyst names as the target catalyst name corresponding to each standard operation sub-region.

[0027] Optionally, the standard catalyst dosage corresponding to each standard operation sub-region is determined by the following steps:

[0028] Obtain the sub-region area corresponding to each standard operation sub-region, and determine the initial catalyst dosage corresponding to each standard operation sub-region according to the sub-region area corresponding to each standard operation sub-region;

[0029] Determine the target catalyst dosage adjustment coefficient corresponding to each standard operation sub-region according to the target required precipitation and the target cloud mass water content corresponding to each standard operation sub-region; calculate the initial catalyst dosage and the corresponding target catalyst dosage adjustment coefficient corresponding to each standard operation sub-region to obtain the standard catalyst dosage corresponding to each standard operation sub-region.

[0030] Optionally, an artificial weather modification operation remote control method of the present invention further includes:

[0031] Generate a target rocket launch operation plan corresponding to each standard operation sub-region according to the rocket launch elevation angle, rocket launch azimuth angle, target catalyst name, and the standard catalyst dosage corresponding to the target catalyst name corresponding to each standard operation sub-region; for each standard operation sub-region, screen in a rocket launch operation plan library in the cloud according to the target rocket launch operation plan to obtain a group of historical rocket launch operation plans, where the plan matching degree of each historical rocket launch operation plan and the target rocket launch operation plan is greater than or equal to a preset plan matching degree;

[0032] Obtain the operation success rate corresponding to each historical rocket launch operation plan in the historical rocket launch operation plan group, calculate the average value of the operation success rates corresponding to each historical rocket launch operation plan to obtain the average operation success rate. If the average operation success rate is less than or equal to the preset average operation success rate, generate the modification information corresponding to the target rocket launch operation plan for each standard operation sub-region; if the average operation success rate is greater than the preset average operation success rate, send the target rocket launch operation plan corresponding to each standard operation sub-region to the rocket launch control terminal corresponding to each standard operation sub-region, so that the rocket launch control terminal controls the corresponding rocket launch device to execute the target rocket launch operation plan.

[0033] Optionally, an artificial weather modification operation remote control method of the present invention further includes:

[0034] Obtain the real-time state parameter group corresponding to the rocket launch device in each standard operation sub-region, and input the real-time state parameter group into the pre-trained rocket launch device anomaly detection model to obtain the first state type of the rocket launch device;

[0035] Obtain the historical state parameter record set corresponding to the rocket launch device in each standard operation sub-region, match the real-time state parameter group in the historical state parameter record set to obtain the target historical state parameter record set, where the historical state parameter record set includes multiple historical state parameter records and the state type corresponding to each historical state parameter record; determine the historical state type group of the rocket launch device in the target historical state parameter record set, calculate the proportion of each historical state type in the historical state type group, and determine the state type with the largest proportion in the historical state type group as the second state type;

[0036] If any one of the first state type or the second state type corresponding to each standard operation sub-region is an abnormal state, generate an emergency stop operation instruction for each standard operation sub-region, and send the emergency stop operation instruction to the corresponding rocket launch control terminal to control the rocket launch device to stop operating.

[0037] The present invention has the following beneficial effects:

[0038] 1. The efficiency of determining standard operation sub - regions is improved. When determining standard operation sub - regions traditionally, it takes a lot of time to deeply analyze the massive data of each potential operation sub - region map one by one. This process is not only cumbersome and complex but also greatly reduces the efficiency of determining the standard operation sub - region map. The present invention simulates the pollutant diffusion path map through a preset pollutant diffusion model, combines it with the target operation area mapping map, and determines which operation sub - regions coincide with the pollutant diffusion path. This greatly saves the time for finding the polluted areas. Further considering the prohibited launch areas, geological data, and meteorological data, it screens out the standard operation sub - regions, thereby optimizing the selection of the operation area and improving the operation efficiency.

[0039] 2. The problems of imbalance between operation effect and environmental impact, low operation efficiency, and potential safety hazards in traditional operations are solved. In traditional cloud seeding operations to reduce pollutant concentration, only the short - term changes in pollutant concentration are often concerned, while other potential environmental impacts are ignored. The present invention sets the target required precipitation amount, making the target required precipitation amount simultaneously meet the pollutant concentration dilution effect and the preset surface runoff pollution load grade interval. While effectively reducing the atmospheric pollutant concentration, it can also reduce the negative impact of surface runoff on the urban water environment, achieving an overall improvement in urban environmental quality. On this basis, by comprehensively considering the target required precipitation amount, regional area, and target cloud water content, the catalyst dosage is accurately determined. At the same time, combined with the adsorption capacity ranking of the catalyst, the optimal catalyst is selected to ensure the scientificity and high efficiency of the operation. On this basis, the operation plan is optimized by using historical data matching and historical operation success rate evaluation to avoid potential risks in advance and improve the operation success rate. At the same time, combined with real - time state parameters and an anomaly detection model, equipment anomalies are quickly identified and an emergency stop instruction is generated to ensure operation safety. This series of measures not only effectively reduces the atmospheric pollutant concentration but also ensures the expected operation effect.

[0040] 3. The problems of poor operation effect and pollution diffusion after weather operations are solved. By comparing the pollutant concentration before and after the operation, the qualified operation areas, secondary operation areas, and secondary pollution risk areas can be accurately identified, and then the operation strategy can be adjusted accordingly. Specifically, according to the distribution type (aggregated or dispersed) of the secondary pollution risk operation sub - regions, different treatment methods are adopted. The aggregated pollution distribution usually means that a main pollution source is at work or the rocket launch device fails, resulting in the aggregated pollution distribution type. Therefore, for the aggregated secondary pollution risk areas, the equipment is repaired and the pollution source operation sub - regions are determined to avoid low operation efficiency caused by equipment failure and effectively control the pollution source head, reducing resource waste. For the dispersed areas, the catalyst dosage is adjusted to avoid pollution diffusion and ensure that the operation effect meets the expectations. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In conjunction with the accompanying drawings and with reference to the following specific embodiments, the above and other features, advantages, and aspects of the various embodiments of the present invention will become more apparent. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.

[0042] Figure 1 is a flowchart of a method for remotely controlling weather modification operations according to the present invention. Specific Embodiments

[0043] The present invention will be described in more detail below with reference to the accompanying drawings. Although some embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. On the contrary, these embodiments are provided to more thoroughly and completely understand the present invention. It should be understood that the drawings and embodiments of the present invention are for illustrative purposes only and are not used to limit the scope of protection of the present invention.

[0044] It should also be noted that, for the sake of convenience of description, only the parts related to the relevant invention are shown in the drawings. Without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other.

[0045] 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 relationship of the functions performed by these devices, modules, or units.

[0046] It should be noted that the modifications of "one" and "multiple" mentioned in the present invention are illustrative rather than restrictive. Those skilled in the art should understand that, unless otherwise clearly specified in the context, it should be understood as "one or more".

[0047] 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.

[0048] The present invention will be described in detail below with reference to the drawings and in conjunction with embodiments.

[0049] As Figure 1 shown, it is a flowchart of a method for remotely controlling weather modification operations according to the present invention.

[0050] Step 101, obtain target weather operation information, where the target weather operation information includes operation type, boundary position information and target operation area map of the target operation area, target pollutant data and wind field data, and the target pollutant data includes target pollutant types and pollutant concentrations.

[0051] In some embodiments, County A in Shanxi Province is a major traditional industrial county. According to statistics, the total number of industrial enterprises in the county exceeds 300, and the industrial pollution load accounts for 50% to 60% of the total county pollution load, posing a threat to human health and the ecological environment of surrounding cities. Reducing the PM2.5 concentration in County A is an urgent problem to be solved currently.

[0052] In some embodiments, the execution subject of a remote control method for weather modification operations of the present invention can be a system integration server. The system integration server integrates the functions of the background server and the computer terminal in the same device, providing server-level computing and storage capabilities. At the same time, it integrates the display and input devices (such as touch screens, keyboards, mice, etc.) required for user interaction, and can not only serve as a data processing center but also as a direct user operation terminal.

[0053] In some embodiments, the weather operation terminal stores target weather operation information. The weather operation terminal can be the working computer of the weather operation center. A communication connection is established between the weather operation terminal and the system integration server. On this basis, the target weather operation information is obtained from the weather operation terminal. The target weather operation information includes the operation type, the boundary position information and the target operation area map of the target operation area, the target pollutant data and the wind field data. Among them, the target pollutant data includes the types of target pollutants and the corresponding pollutant concentrations. Specifically, the target weather operation can be the weather operation being studied by the user, and the operation type included in the target weather operation information is artificial rainfall to reduce pollutant concentration; the target operation area can be Shanxi Province. In practice, the boundary position information is determined through the map data and longitude and latitude coordinates of Shanxi Province. The boundary position information of the target operation area can be from XX°XX′XX″ east longitude to XX°XX′XX″ east longitude, and from XX°XX′XX″ north latitude to XX°XX′XX″ north latitude. Among them, the target operation area map can be obtained through an open-source electronic map interface. The type of target pollutant can be PM2.5, and the corresponding pollutant concentration of PM2.5 can be 180 μg / m³. The wind field data can be the historical wind direction data and historical wind speed data of the past week, and the wind field data is crucial for predicting the pollutant diffusion direction and formulating the artificial rainfall operation plan.

[0054] Step 102: Input the boundary position information, target pollutant data, and wind field data of the target operation area into a preset pollutant diffusion model to obtain a simulated pollutant diffusion path map.

[0055] In some embodiments, the preset pollutant diffusion model may be the HYSPLIT model, which is a professional model for calculating and analyzing the transport and diffusion trajectories of atmospheric pollutants. The HYSPLIT model can be used to calculate the trajectories of air masses and simulate complex diffusion and sedimentation, including the diffusion simulation of sand and dust, tropospheric ozone, EC (Elemental Carbon), sulfur dioxide, benzene, volcanic eruptions, forest fires, mercury, and PM2.5. Input the boundary position information of the target operation area, the target pollutant data, and the wind field data into the HYSPLIT model to obtain a simulated pollutant diffusion path map.

[0056] Step 103: Map the target operation area map onto the simulated pollutant diffusion path map to obtain a target operation area mapping map; divide the target operation area mapping map according to the preset division standard to obtain multiple operation sub-area maps; analyze the simulated pollutant diffusion path map, and determine the operation sub-area maps that coincide with the simulated pollutant diffusion path in the multiple operation sub-area maps as candidate operation sub-area maps to obtain a group of candidate operation sub-area maps; obtain the position information of each no-launch area in the no-launch area group within the target operation area, as well as the geological data and meteorological data corresponding to each candidate operation sub-area in the candidate operation sub-area group corresponding to the candidate operation sub-area group, and determine a standard operation sub-area group according to the position information of each no-launch area and the geological data and meteorological data corresponding to each candidate operation sub-area.

[0057] In some embodiments, the preset division standard is to divide the target operation area mapping map into multiple grid area maps of equal area, and the multiple grid area maps are multiple operation sub-area maps, where one grid area map corresponds to one operation sub-area map.

[0058] Optionally, the standard operation sub-area group is determined through the following steps:

[0059] Step 1: Exclude the candidate operation sub-areas in the candidate operation sub-area group where there is a no-launch area group within the preset range from the candidate operation sub-area group to obtain an updated operation sub-area group;

[0060] Step 2: Screen out the updated operation sub-areas in the updated operation sub-area group whose geological data are within the preset geological data standard to obtain an alternative operation sub-area group;

[0061] Step 3: Analyze the meteorological data corresponding to each alternative operation sub-area in the alternative operation sub-area group, and determine the alternative operation sub-areas that meet the preset meteorological data range as standard operation sub-areas to obtain a standard operation sub-area group.

[0062] In some embodiments, the prohibited launch areas are obtained from open-source industry websites. The prohibited launch areas are regions where operations cannot be carried out due to environmental protection, safety considerations, or other regulatory restrictions, and can be densely populated areas, ecologically sensitive areas, transportation hubs, and so on. The preset range can be the distance defined by the user according to industry standards. Those candidate operation sub-areas with prohibited launch areas within the preset range are removed from the candidate operation sub-area group, leaving the sub-areas that do not contain prohibited launch areas to obtain the updated operation sub-area group. Geological data corresponding to each candidate operation sub-area is obtained from a professional geological database. The geological data includes information such as soil type, rock type, groundwater level, and geological stability. The updated operation sub-areas whose geological data meets the preset geological data conditions or falls within the preset geological data range are selected as alternative operation sub-areas. Meteorological data for each alternative operation sub-area is obtained from an open-source meteorological data website. The meteorological data includes rainfall, wind speed, wind direction, temperature, humidity, etc. The meteorological data for each alternative operation sub-area is analyzed, which usually involves comparing the actual meteorological data with the corresponding preset meteorological data. Those alternative operation sub-areas whose meteorological data meets the preset meteorological data standards are determined as standard operation sub-areas. The standard operation sub-areas are areas that are suitable for operations in terms of geological and meteorological conditions. Among them, the standard operation sub-area group can include Standard Operation Sub-area One, Standard Operation Sub-area Two, Standard Operation Sub-area Three, and so on.

[0063] Step 104, obtain the location information of each standard operation sub-area in the standard operation sub-area group, and send the location information of each standard operation sub-area to the corresponding rocket launch vehicle terminal, so that the corresponding rocket launch vehicle can go to the corresponding standard operation sub-area.

[0064] In some embodiments, the location information of each standard operation sub-area is obtained from an open-source electronic map interface, and the location information of each standard operation sub-area is sent to the corresponding rocket launch vehicle terminal. The rocket launch vehicle terminal can be a smart phone. The person driving the rocket launch vehicle goes to the corresponding standard operation sub-area according to the location information of the standard operation sub-area on the rocket launch vehicle terminal. A rocket launch device is carried on the rocket launch vehicle.

[0065] In some embodiments, the efficiency of determining the standard operation sub-region is improved. When determining the standard operation sub-region traditionally, it takes a lot of time to deeply analyze the massive data of each potential operation sub-region map one by one. This process is not only cumbersome and complex, but also greatly reduces the efficiency of determining the standard operation sub-region map. The present invention simulates the pollutant diffusion path map through a preset pollutant diffusion model, and combines it with the target operation area mapping map to determine which operation sub-regions coincide with the pollutant diffusion path, which greatly saves the time for finding the polluted area. Further considering the prohibited launch area, geological data and meteorological data, the standard operation sub-regions are screened out, so as to optimize the selection of the operation area and improve the operation efficiency.

[0066] In some embodiments, in order to further solve the second technical problem described in the background art part, that is, "in the traditional artificial rainfall enhancement operation to reduce pollutant concentration, only the short-term change of pollutant concentration is often concerned, while other potential environmental impacts are ignored, resulting in the imbalance between the short-term operation effect and the environmental impact; currently, when determining the catalyst parameters of the operation sub-region, a relatively unified and fixed method is often adopted, lacking a flexible adjustment mechanism, so it is difficult to adapt to the specific situation of each operation sub-region, thus affecting the overall operation effect; the existing weather operations often conduct the effect evaluation only after the operation, making it impossible to adjust the operation plan in time, which not only causes unnecessary waste of resources, but also seriously affects the overall efficiency of the operation; most of the traditional detection rocket launch devices still rely on manual operation, which is not only inefficient, but also prone to misjudgment due to human factors, and there are great safety hazards", in some embodiments of the present invention, a remote control method for artificial weather modification operations further includes:

[0067] Step 1, for each standard operation sub-region, subtract the corresponding pollutant concentration from the standard pollutant concentration threshold to obtain the pollutant concentration difference; obtain the pollutant concentration dilution effect table, and match the pollutant concentration difference in the pollutant concentration dilution effect table to obtain the predicted required precipitation group corresponding to each standard operation sub-region; wherein, the pollutant concentration dilution effect table includes multiple pollutant concentration difference intervals and the predicted required precipitation group corresponding to each pollutant concentration difference interval.

[0068] Step 2, obtain the surface runoff pollution load table, which includes multiple precipitation intervals and the surface runoff pollution load level corresponding to each precipitation interval.

[0069] Step 3, for each standard operation sub-region, match the predicted required precipitation group in the surface runoff pollution load table to obtain the surface runoff pollution load level group.

[0070] Step 4: Remove the surface runoff pollution load levels that are not within the preset surface runoff pollution load level range from the surface runoff pollution load level group to obtain the updated surface runoff pollution load level group.

[0071] Step 5: Add the predicted required precipitation corresponding to each updated surface runoff pollution load level in the updated surface runoff pollution load level group to the updated predicted required precipitation group;

[0072] Step 6: Sort the updated predicted required precipitation group in descending order of the predicted required precipitation to obtain the updated predicted required precipitation sequence, and determine the updated predicted required precipitation ranked first in the updated predicted required precipitation sequence as the target required precipitation corresponding to each standard operation sub-region.

[0073] In some embodiments, the weather operation terminal stores a pollutant concentration dilution effect table and a surface runoff pollution load table. In practice, the precipitation is positively correlated with the rainfall scavenging efficiency of atmospheric pollutants. As the precipitation increases, the dilution effect of precipitation on pollutant concentration increases. When the daily precipitation is less than 1 mm, the scavenging and dilution effect of precipitation on pollutants is not obvious, and even the pollutant concentration increases. When the rainfall is between 1 and 4.9 mm, the precipitation can scavenge the increased pollutants in the atmosphere, making the air quality basically maintain the level of the previous day and slightly reducing the pollutant concentration, and the air quality improves slightly. When the rainfall is above 5 mm, the atmospheric pollutant concentration decreases significantly, and the air quality improves significantly. However, with the increasing proportion of impervious surfaces in urban areas, most precipitation is likely to form runoff in a short time, scouring pollutants accumulated on the surface and sediments in the stormwater pipe network, and carrying various pollutants such as suspended solid organic matter, heavy metals, and nitrogen and phosphorus nutrients into urban water bodies. Therefore, surface runoff pollution is the main source of urban non-point source pollution and has an inestimable negative impact on the urban water environment quality. Usually, the surface runoff pollution load is used to quantitatively evaluate the pollution impact degree of rainfall runoff on the water environment in a certain area. Therefore, it is very important to reasonably balance the relationship between precipitation and urban water environment quality.

[0074] In some embodiments, the standard pollutant concentration threshold is determined according to industry standards, and the preset surface runoff pollution load level range can be defined by the user according to industry standards. By making the target required precipitation meet both the pollutant concentration dilution effect and the preset surface runoff pollution load level range, while effectively reducing the atmospheric pollutant concentration, it can also reduce the negative impact of surface runoff on the urban water environment and achieve an overall improvement in urban environmental quality.

[0075] Among them, an artificial weather modification operation remote control method further includes:

[0076] Step 1: Obtain the target cloud mass information corresponding to each standard operation sub-region. The target cloud mass information includes the target cloud mass type, target cloud mass height, target cloud mass water content, and target cloud mass position information.

[0077] Step 2: Determine the rocket launch elevation angle and rocket launch azimuth angle corresponding to each standard operation sub-region according to the position information, target cloud mass height, and target cloud mass position information corresponding to each standard operation sub-region.

[0078] In some embodiments, the weather operation terminal stores the target cloud mass information corresponding to each standard operation sub-region, which is obtained through a meteorological radar. On this basis, obtain the target cloud mass information corresponding to each standard operation sub-region from the weather operation terminal. The target cloud mass information includes the target cloud mass type, target cloud mass height, target cloud mass water content, and target cloud mass position information. Specifically, the target cloud mass can be the cloud mass for weather operations within Standard Operation Sub-region 1. Among them, the target cloud mass type in the target cloud mass information refers to the type of cloud mass, which can be a cold cloud or a warm cloud. The target cloud mass height refers to the height of the cloud mass, and the target cloud mass position information refers to the specific position of the cloud mass, usually represented by longitude and latitude coordinates. The target cloud mass water content refers to the mass of liquid (such as water droplets) or solid (such as ice crystals) water contained in a unit volume of the cloud mass. It reflects the moisture content inside the cloud mass and is an important parameter of the physical properties of the cloud mass.

[0079] In some embodiments, the determination process of the target cloud mass information corresponding to each standard operation sub-region is as follows: Obtain the multiple cloud mass information corresponding to each standard operation sub-region. Each cloud mass information includes the cloud mass type, cloud mass total area, cloud mass water content, cloud mass height, and cloud mass position information corresponding to each cloud mass. Screen out the cloud mass with a cloud mass type suitable for artificial rainfall enhancement, and the cloud mass total area is closest to the preset weather operation cloud mass area and the cloud mass water content is closest to the preset weather operation cloud mass water content among the multiple cloud masses, and determine it as the target cloud mass. Determine the cloud mass information corresponding to the target cloud mass as the target cloud mass information. Among them, the preset weather operation cloud mass area and the preset weather operation cloud mass water content can be determined by the user according to industry standards.

[0080] In some embodiments, taking Standard Operation Sub-region 1 as an example to illustrate the determination process of the rocket launch elevation angle and rocket launch azimuth angle: Input the position information of the rocket launch device corresponding to Standard Operation Sub-region 1, the target cloud mass height, and the target cloud mass position information into the GIS - Geographic Information System software to obtain the rocket launch elevation angle and rocket launch azimuth angle corresponding to Standard Operation Sub-region 1.

[0081] Among them, the target catalyst name corresponding to each standard operation sub-region is determined through the following steps:

[0082] Step 1: Match the target cloud mass type corresponding to each standard operation sub-region in the pre-configured weather operation catalyst table to obtain a group of alternative catalyst names corresponding to each standard operation sub-region. The weather operation catalyst table includes multiple cloud mass types and multiple catalyst names corresponding to each cloud mass type.

[0083] Step 2: Obtain the adsorption degree of each alternative catalyst name in the group of alternative catalyst names corresponding to each standard operation sub-region, sort the group of alternative catalyst names in descending order of adsorption degree to obtain an alternative catalyst name sequence, and use the alternative catalyst name ranked first in the alternative catalyst name sequence as the target catalyst name corresponding to each standard operation sub-region.

[0084] In some embodiments, the weather operation terminal stores a catalyst adsorption degree evaluation table, and the catalyst adsorption degree evaluation includes multiple catalyst names and the adsorption degree corresponding to each catalyst name. On this basis, obtain the adsorption degree of each alternative catalyst name corresponding to each standard operation sub-region from the catalyst adsorption degree evaluation table. In practice, the adsorption degree of nano silver iodide is higher than that of ordinary silver iodide.

[0085] Among them, the standard catalyst dosage corresponding to each standard operation sub-region is determined through the following steps:

[0086] Step 1: Obtain the sub-region area corresponding to each standard operation sub-region, and determine the initial catalyst dosage corresponding to each standard operation sub-region according to the sub-region area corresponding to each standard operation sub-region.

[0087] In some embodiments, the weather operation terminal stores an environmental monitoring database and a catalyst dosage comparison table. The environmental monitoring database has the sub-region area corresponding to each standard operation sub-region, and the catalyst dosage comparison table includes multiple region areas and the catalyst dosage corresponding to each region area. On this basis, obtain the sub-region area corresponding to each standard operation sub-region from the weather operation terminal, and query the sub-region area corresponding to each standard operation sub-region in the catalyst dosage comparison table to obtain the initial catalyst dosage corresponding to each standard operation sub-region. A reasonable catalyst dosage can avoid excessive use of catalysts, thereby reducing resource waste and costs.

[0088] Step 2: Determine the target catalyst dosage adjustment coefficient corresponding to each standard operation sub-region according to the target required precipitation and the target cloud mass water content corresponding to each standard operation sub-region; calculate the initial catalyst dosage and the corresponding target catalyst dosage adjustment coefficient corresponding to each standard operation sub-region to obtain the standard catalyst dosage corresponding to each standard operation sub-region.

[0089] In some embodiments, the initial catalyst dosage corresponding to each standard operation sub-region is multiplied by the corresponding target catalyst dosage adjustment coefficient to obtain the standard catalyst dosage corresponding to each standard operation sub-region.

[0090] In some embodiments, the target catalyst dosage adjustment coefficient corresponding to each standard operation sub-region is determined through the following steps: Obtain a catalyst dosage adjustment table, which includes a plurality of precipitation amounts, the precipitation adjustment coefficient corresponding to each precipitation amount, a plurality of cloud water contents, and the catalyst dosage adjustment coefficient corresponding to each cloud water content; Match the target required precipitation amount and the target cloud water content of each standard operation sub-region in the catalyst dosage adjustment table to obtain the first precipitation adjustment coefficient and the second catalyst dosage adjustment coefficient corresponding to each standard operation sub-region, configure weights for the first precipitation adjustment coefficient and the second catalyst dosage adjustment coefficient respectively, and perform weighted summation on the first precipitation adjustment coefficient and the second catalyst dosage adjustment coefficient through the weights to obtain the target catalyst dosage adjustment coefficient corresponding to each standard operation sub-region.

[0091] Wherein, an artificial weather modification operation remote control method further includes:

[0092] Step 1, generate a target rocket launch operation plan corresponding to each standard operation sub-region according to the rocket launch elevation angle, rocket launch azimuth angle, target catalyst name, and the standard catalyst dosage corresponding to the target catalyst name corresponding to each standard operation sub-region; For each standard operation sub-region, screen in the rocket launch operation plan library in the cloud according to the target rocket launch operation plan to obtain a historical rocket launch operation plan group, wherein the plan matching degree of each historical rocket launch operation plan and the target rocket launch operation plan is greater than or equal to a preset plan matching degree;

[0093] In some embodiments, the target rocket launch operation plan consists of the rocket launch elevation angle, rocket launch azimuth angle, target catalyst name, and the standard catalyst dosage corresponding to the target catalyst name for each standard operation sub-region. The preset plan matching degree can be a user-defined value. The plan matching degree is determined by different parameters (rocket launch elevation angle, rocket launch azimuth angle, target catalyst name, and the standard catalyst dosage corresponding to the target catalyst name). Specifically, for rocket launch elevation angle matching: the elevation angle difference between the target rocket launch operation plan and the historical rocket launch operation plan is within the preset angle difference range (such as ±5°). For rocket launch azimuth angle matching: the azimuth angle difference between the target rocket launch operation plan and the historical rocket launch operation plan is within the preset angle difference range (such as ±10°). For catalyst name matching: they must be exactly the same. For catalyst dosage matching: the dosage difference between the target rocket launch operation plan and the historical rocket launch operation plan is within the preset dosage difference range (such as ±10%). If a certain plan fully meets the above conditions, the matching degree is 100%. If some conditions exceed the range but are still close (for example, elevation angle ±6°), the matching degree is reduced proportionally. For example, assume that in the target rocket launch operation plan, the launch elevation angle is 60 degrees, the azimuth angle is 90 degrees, the catalyst is "X1", and the dosage is 100 kilograms. If there is a historical rocket launch operation plan 1 in the historical plan with a launch elevation angle of 60 degrees, azimuth angle of 92 degrees, catalyst of "X1", and dosage of 100 kilograms, then the matching degree between the two is greater than or equal to the preset plan matching degree (80%).

[0094] Step 2: Obtain the operation success rate corresponding to each historical rocket launch operation plan in the historical rocket launch operation plan group, calculate the average value of the operation success rates corresponding to each historical rocket launch operation plan to obtain the average operation success rate. If the average operation success rate is less than or equal to the preset average operation success rate, generate the modification information corresponding to the target rocket launch operation plan for each standard operation sub-region; if the average operation success rate is greater than the preset average operation success rate, send the target rocket launch operation plan corresponding to each standard operation sub-region to the rocket launch control terminal corresponding to each standard operation sub-region, so that the rocket launch control terminal controls the corresponding rocket launch device to execute the target rocket launch operation plan.

[0095] In some embodiments, in the operation record table corresponding to the historical rocket launch operation plan, there is the operation success rate corresponding to each historical rocket launch operation plan. The operation record table includes multiple operation numbers, the historical rocket launch operation plan corresponding to each operation number, and the corresponding operation success rate. Query the operation numbers of each historical rocket launch operation plan in the operation record table to obtain the operation success rate corresponding to each historical rocket launch operation plan. The operation success rate is a value for evaluating the overall effect after the operation. If the average operation success rate is less than or equal to the preset average operation success rate, generate the modification information corresponding to the target rocket launch operation plan for each standard operation sub-region. The modification information may include at least one of the following: adjusting the rocket launch elevation angle, adjusting the rocket launch azimuth angle, replacing the catalyst name, and adjusting the standard catalyst dosage. If the average operation success rate is less than or equal to the preset average operation success rate, the generated modification information may be to replace the catalyst name. Specifically, replace the catalyst name in the target rocket launch operation plan with the catalyst name with the highest success rate in the historical rocket launch operation plan.

[0096] In some embodiments, the rocket launch control terminal is a device for receiving external instructions, implementing launch control functions, and uploading operation information. The rocket launch device is a device for launching rockets.

[0097] Optionally, a remote control method for weather modification operations further includes:

[0098] Step 1, obtain the real-time state parameter group corresponding to the rocket launch device for each standard operation sub-region, input the real-time state parameter group into the pre-trained rocket launch device anomaly detection model, and obtain the first state type of the rocket launch device;

[0099] Step 2, obtain the historical state parameter record set corresponding to the rocket launch device for each standard operation sub-region, match the real-time state parameter group in the historical state parameter record set to obtain the target historical state parameter record set, where the historical state parameter record set includes multiple historical state parameter records and the state type corresponding to each historical state parameter record; determine the historical state type group of the rocket launch device in the target historical state parameter record set, calculate the proportion of each historical state type in the historical state type group, and determine the state type with the largest proportion in the historical state type group as the second state type;

[0100] Step 3, if any one of the first state type or the second state type corresponding to each standard operation sub-region is an abnormal state, generate an emergency stop operation instruction for each standard operation sub-region, and send the emergency stop operation instruction to the corresponding rocket launch control terminal to control the rocket launch device to stop operating.

[0101] In some embodiments, a plurality of monitoring sensors are configured on the rocket launch device. The plurality of monitoring sensors are used to collect a set of state parameters of the rocket launch device. Among them, the set of state parameters includes temperature, pressure, power, vibration, etc. The real-time set of state parameters is input into a pre-trained abnormal detection model of the rocket launch device to obtain the first state type of the rocket launch device. The structure of the pre-trained abnormal detection model of the rocket launch device is a convolutional neural network, which has been pre-trained with a large historical state parameter data set of rocket launch devices and is used to obtain a prediction result (the state type of the rocket launch device). The training process is as follows: The historical state parameter data set of the rocket launch device in practice is input into the convolutional neural network to obtain the output result of the convolutional neural network. The output result is compared with the real value (obtained by manual annotation in advance), and the loss value is calculated. According to the gradient information of the loss function, the loss value is propagated backward layer by layer from the output layer to the input layer. The gradient value of each layer of parameters is calculated through the chain rule. During the parameter update process, optimization algorithms such as gradient descent are used to update the parameters of each layer to reduce the value of the loss function. This process needs to be iterated multiple times until the performance of the convolutional neural network reaches the preset requirements or reaches the maximum number of iterations, that is, the training of the convolutional neural network is completed.

[0102] In some embodiments, the target historical state parameter record set is obtained through the following steps: A similarity standard or threshold is preset. When the difference between each real-time state parameter in the real-time set of state parameters and the corresponding historical state parameter record is less than the preset similarity standard or threshold, the historical state parameter record is determined to be a match. Among them, the state type of the rocket launch device can be normal or abnormal. If the proportion of the normal state in the historical state type group is 60% and the proportion of the abnormal state is 40%, the second state type is the normal state. If any one of the "first state type" or "second state type" is abnormal, the system generates an emergency stop instruction to ensure that the rocket launch device stops operating, which not only helps to monitor the health status of the device in real time, but also can react in time when potential failures occur, ensuring the safety and smooth execution of the launch mission.

[0103] In some embodiments, the problems of imbalance between operation effect and environmental impact, low operation efficiency, and potential safety hazards in traditional operations are solved. In traditional cloud seeding operations to reduce pollutant concentration, only short-term changes in pollutant concentration are often concerned, while other potential environmental impacts are ignored. By setting the target required precipitation, the present invention enables the target required precipitation to simultaneously meet the dilution effect of pollutant concentration and the preset surface runoff pollution load grade range, reducing the negative impact of surface runoff on the urban water environment while effectively reducing the atmospheric pollutant concentration, thus achieving an overall improvement in urban environmental quality. On this basis, by comprehensively considering the target required precipitation, regional area, and target cloud water content, the catalyst dosage is accurately determined. At the same time, combined with the adsorption capacity ranking of catalysts, the optimal catalyst is selected to ensure the scientificity and efficiency of the operation. On this basis, the operation plan is optimized by using historical data matching and historical operation success rate evaluation to avoid potential risks in advance and improve the operation success rate. At the same time, combined with real-time state parameters and anomaly detection models, equipment anomalies are quickly identified and emergency stop instructions are generated to ensure operation safety. These series of measures not only effectively reduce the atmospheric pollutant concentration but also ensure the expected effect of the operation.

[0104] In some embodiments, in order to further solve Technical Problem 3 described in the background art section, that is, "after traditional weather operations, in case of poor operation effect, there is a lack of dynamic adjustment coping strategies, resulting in low operation efficiency and pollution diffusion", some embodiments of the present invention are also used for:

[0105] Step 1: Obtain the post-operation pollutant concentration corresponding to the target pollutant data after the operation in each standard operation sub-region, and determine whether the post-operation pollutant concentration is within the expected pollutant concentration range. If it is, generate operation qualified information corresponding to the standard operation sub-region.

[0106] Step 2: If not, compare the post-operation pollutant concentration with the pre-operation pollutant concentration. If the post-operation pollutant concentration is less than or equal to the pre-operation pollutant concentration, determine the corresponding standard operation sub-region as a secondary operation sub-region, and generate a start secondary operation instruction corresponding to the secondary operation sub-region.

[0107] In some embodiments, if the post-operation pollutant concentration is not within the expected range, it is necessary to compare the pre-operation and post-operation pollutant concentrations. If the post-operation pollutant concentration is less than or equal to the pre-operation concentration, it indicates that the operation has not effectively improved the pollutant concentration, or perhaps due to improper operation, the pollutant concentration has not been effectively controlled. This standard operation sub-region is designated as a "secondary operation sub-region", meaning that the operation needs to be carried out again to further improve the pollutant concentration.

[0108] Step 3: If the pollutant concentration after the operation is greater than that before the operation, determine the corresponding standard operation sub-region as a secondary pollution risk operation sub-region, obtain a group of secondary pollution risk operation sub-regions, and generate a stop operation instruction corresponding to the secondary pollution risk operation sub-region; send the stop operation instruction corresponding to the secondary pollution risk operation sub-region to the rocket launch control terminal;

[0109] In some embodiments, if the pollutant concentration after the operation is greater than that before the operation, it means that the operation fails to effectively reduce the pollutant concentration and may cause secondary pollution. This operation sub-region is designated as a "secondary pollution risk operation sub-region". The pollution problem may be exacerbated due to improper operation methods or other reasons. To avoid further aggravating the pollution, a stop operation instruction is generated to require the suspension or termination of the current operation.

[0110] Step 4: Generate a distribution map of secondary pollution risk operation sub-regions according to the group of standard operation sub-regions and the location information corresponding to each secondary pollution risk operation sub-region; analyze the location information of the group of secondary pollution risk operation sub-regions in the distribution map of secondary pollution risk operation sub-regions to determine the distribution location type of the group of secondary pollution risk operation sub-regions in the distribution map of secondary pollution risk operation sub-regions. The distribution location type includes aggregated type and dispersed type;

[0111] In some embodiments, first, according to the location information corresponding to the group of standard operation sub-regions, map the group of standard operation sub-regions to the target operation area map to generate a first map. Then, according to the location information corresponding to each secondary pollution risk operation sub-region, color-mark each secondary pollution risk operation sub-region in the first map to obtain a distribution map of secondary pollution risk operation sub-regions. If, in the distribution map of secondary pollution risk operation sub-regions, each secondary pollution risk operation sub-region is within a preset distance range, determine the distribution location type of the group of secondary pollution risk operation sub-regions as the aggregated type; if each secondary pollution risk operation sub-region is outside the preset distance range, determine the distribution location type of the group of secondary pollution risk operation sub-regions as the dispersed type, where the preset distance range can be user-defined.

[0112] Step 5: If the distribution location type is the aggregated type, obtain the real-time status parameter group corresponding to the rocket launch device, compare the real-time status parameter group with the corresponding standard status parameter interval. If any real-time status parameter is not within the corresponding standard status parameter interval, generate a maintenance instruction corresponding to the rocket launch device; if not, sort the group of secondary pollution risk operation sub-regions according to the pollutant concentration after the operation to obtain a sequence of secondary pollution risk operation sub-regions, and use the secondary pollution risk operation sub-region ranked first in the sequence of secondary pollution risk operation sub-regions as the pollution source operation sub-region, and generate an operation instruction for the pollution source operation sub-region;

[0113] Step Six, if the distribution position type is the dispersed type, adjust the standard catalyst dosage corresponding to each secondary pollution risk operation sub-region to the maximum value within the preset catalyst dosage range corresponding to each secondary pollution risk operation sub-region.

[0114] In some embodiments, the determination of the preset catalyst dosage range corresponding to each secondary pollution risk operation sub-region is a process of comprehensive consideration of multiple factors, including pollutant concentration, catalyst performance, pollutant concentration after operation, size of the operation sub-region, resource constraints, and regulatory requirements, etc. A reasonable catalyst dosage range is determined through the above factors to ensure the operation effect and environmental safety. In the case of a dispersed area, usually the catalyst dosage is adjusted to the maximum value within the preset catalyst dosage range to ensure the best pollutant treatment effect and avoid the spread of pollution to the surrounding areas.

[0115] In these embodiments, the problems of poor operation effect and pollution spread after operation in weather are solved; by comparing the pollutant concentrations before and after the operation, it is possible to accurately identify the qualified operation areas, secondary operation areas, and secondary pollution risk areas, so as to adjust the operation strategy targeted; specifically, according to the distribution type (aggregated type or dispersed type) of the secondary pollution risk operation sub-regions, different treatment methods are adopted. The aggregated pollution distribution usually means that there is a main pollution source at work or a rocket launch device fails, resulting in the aggregated pollution distribution type. Therefore, for the aggregated secondary pollution risk areas, by repairing the equipment and determining the pollution source operation sub-regions, the operation inefficiency caused by equipment failures can be avoided, and the pollution source can be effectively controlled, reducing resource waste; for the dispersed areas, by adjusting the catalyst dosage, the spread of pollution can be avoided and the operation effect can be ensured to meet the expectations.

[0116] The above description is only some preferred embodiments of the present invention and an explanation of the applied technical principles. 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, and should also 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 technical solutions formed by mutually replacing the above features with the (but not limited to) technical features with similar functions disclosed in the present invention.

Claims

1. A remote control method for weather modification operations, characterized in that, Including: Obtain target weather operation information, where the target weather operation information includes operation type, boundary position information and a target operation area map of the target operation area, target pollutant data and wind field data, and the target pollutant data includes target pollutant types and pollutant concentrations; Input the boundary position information, target pollutant data and wind field data of the target operation area into a preset pollutant diffusion model to obtain a simulated pollutant diffusion path map; Map the target operation area map onto the simulated pollutant diffusion path map to obtain a target operation area mapping map; divide the target operation area mapping map according to a preset division standard to obtain multiple operation sub-area maps; analyze the simulated pollutant diffusion path map, and determine the operation sub-area maps that coincide with the simulated pollutant diffusion path in the multiple operation sub-area maps as candidate operation sub-area maps to obtain a candidate operation sub-area map group; obtain the position information of each prohibited launch area in the prohibited launch area group within the target operation area, as well as the geological data and meteorological data corresponding to each candidate operation sub-area in the candidate operation sub-area group corresponding to the candidate operation sub-area map group, and determine a standard operation sub-area group according to the position information of each prohibited launch area and the geological data and meteorological data corresponding to each candidate operation sub-area; Obtain the position information of each standard operation sub-area in the standard operation sub-area group, and send the position information of each standard operation sub-area to the corresponding rocket launch vehicle terminal so that the corresponding rocket launch vehicle can go to the corresponding standard operation sub-area; For each standard operation sub-area, subtract the corresponding pollutant concentration from the standard pollutant concentration threshold to obtain a pollutant concentration difference; obtain a pollutant concentration dilution effect table, and match the pollutant concentration difference in the pollutant concentration dilution effect table to obtain a predicted required precipitation group corresponding to each standard operation sub-area; where the pollutant concentration dilution effect table includes multiple pollutant concentration difference intervals and a predicted required precipitation group corresponding to each pollutant concentration difference interval; Obtain a surface runoff pollution load table, where the surface runoff pollution load table includes multiple precipitation intervals and a surface runoff pollution load level corresponding to each precipitation interval; For each standard operation sub-area, match the predicted required precipitation group in the surface runoff pollution load table to obtain a surface runoff pollution load level group; Remove the surface runoff pollution load levels that are not within the preset surface runoff pollution load level interval from the surface runoff pollution load level group to obtain an updated surface runoff pollution load level group; Add the predicted required precipitation corresponding to each updated surface runoff pollution load level in the updated surface runoff pollution load level group to the updated predicted required precipitation group; Sort the updated predicted required precipitation group in descending order of the predicted required precipitation to obtain an updated predicted required precipitation sequence, and determine the updated predicted required precipitation ranked first in the updated predicted required precipitation sequence as the target required precipitation corresponding to each standard operation sub-area.

2. The remote control method for weather modification operations according to claim 1, wherein The standard operation sub - area group is determined through the following steps: Eliminate the candidate operation sub - areas with prohibited emission area groups within a preset range from the candidate operation sub - area group to obtain an updated operation sub - area group; Screen out the updated operation sub - areas in the updated operation sub - area group whose geological data is within the preset geological data standard to obtain an alternative operation sub - area group; Analyze the meteorological data corresponding to each alternative operation sub - area in the alternative operation sub - area group, and determine the alternative operation sub - areas that meet the preset meteorological data range as standard operation sub - areas to obtain a standard operation sub - area group.

3. The remote control method for weather modification operations according to claim 2, wherein It also includes: Obtain the target cloud mass information corresponding to each standard operation sub - area, where the target cloud mass information includes target cloud mass type, target cloud mass height, target cloud mass water content, and target cloud mass position information; According to the position information, target cloud mass height, and target cloud mass position information corresponding to each standard operation sub - area, determine the rocket launch elevation angle and rocket launch azimuth angle corresponding to each standard operation sub - area.

4. The remote control method for weather modification operations according to claim 3, characterized in that, The target catalyst name corresponding to each standard operation sub - area is determined through the following steps: Match the target cloud mass type corresponding to each standard operation sub - area in the pre - configured weather operation catalyst table to obtain a group of alternative catalyst names corresponding to each standard operation sub - area, where the weather operation catalyst table includes multiple cloud mass types and multiple catalyst names corresponding to each cloud mass type; Obtain the adsorption degree of each alternative catalyst name in the group of alternative catalyst names corresponding to each standard operation sub - area, sort the group of alternative catalyst names in descending order of adsorption degree to obtain a sequence of alternative catalyst names, and use the alternative catalyst name ranked first in the sequence of alternative catalyst names as the target catalyst name corresponding to each standard operation sub - area.

5. The remote control method for weather modification operations according to claim 4, characterized in that, The standard catalyst dosage corresponding to each standard operation sub - area is determined through the following steps: Obtain the sub - area area corresponding to each standard operation sub - area, and determine the initial catalyst dosage corresponding to each standard operation sub - area according to the sub - area area corresponding to each standard operation sub - area; Determine the target catalyst dosage adjustment coefficient corresponding to each standard operation sub - area according to the target required precipitation and target cloud mass water content corresponding to each standard operation sub - area; Calculate the initial catalyst dosage and the corresponding target catalyst dosage adjustment coefficient corresponding to each standard operation sub - area to obtain the standard catalyst dosage corresponding to each standard operation sub - area.

6. The remote control method for weather modification operations according to claim 5, wherein It also includes: Generate a target rocket launch operation plan corresponding to each standard operation sub - area according to the rocket launch elevation angle, rocket launch azimuth angle, target catalyst name, and the standard catalyst dosage corresponding to the target catalyst name corresponding to each standard operation sub - area; for each standard operation sub - area, screen in the rocket launch operation plan library in the cloud according to the target rocket launch operation plan to obtain a group of historical rocket launch operation plans, where the plan matching degree of each historical rocket launch operation plan and the target rocket launch operation plan is greater than or equal to the preset plan matching degree; Obtain the operation success rate corresponding to each historical rocket launch operation plan in the historical rocket launch operation plan group, calculate the average value of the operation success rates corresponding to each historical rocket launch operation plan to obtain the average operation success rate. If the average operation success rate is less than or equal to the preset average operation success rate, generate the modification information corresponding to the target rocket launch operation plan for each standard operation sub-region; if the average operation success rate is greater than the preset average operation success rate, send the target rocket launch operation plan corresponding to each standard operation sub-region to the rocket launch control terminal corresponding to each standard operation sub-region, so that the rocket launch control terminal controls the corresponding rocket launch device to execute the target rocket launch operation plan.

7. The remote control method for weather modification operations according to claim 6, characterized in that, It further includes: Obtain the real-time state parameter group corresponding to the rocket launch device in each standard operation sub-region, and input the real-time state parameter group into the pre-trained rocket launch device anomaly detection model to obtain the first state type of the rocket launch device. Obtain the historical state parameter record set corresponding to the rocket launch device in each standard operation sub-region, match the real-time state parameter group in the historical state parameter record set to obtain the target historical state parameter record set, where the historical state parameter record set includes multiple historical state parameter records and the state type corresponding to each historical state parameter record; determine the historical state type group of the rocket launch device in the target historical state parameter record set, calculate the proportion of each historical state type in the historical state type group, and determine the state type with the largest proportion in the historical state type group as the second state type. If any one of the first state type or the second state type corresponding to each standard operation sub-region is an abnormal state, generate an emergency stop operation instruction for each standard operation sub-region, and send the emergency stop operation instruction to the corresponding rocket launch control terminal to control the rocket launch device to stop operating.

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