GIS-based artificial influence weather operation command method and device

Abstract

The invention discloses a GIS-based artificial influence weather operation command method and device, and the method comprises the steps: obtaining meteorological data and geographic information data, and carrying out the spatial registration of the meteorological data and the geographic information data according to latitude and longitude coordinates, and obtaining the initial data after registration; determining a first target area according to the geographic information data; analyzing the weather data of the first target area based on the initial data, determining an operation mode according to an analysis result, and formulating an operation sowing amount based on the operation mode; and carrying out weather operation in the first target area by using the operation equipment according to the operation mode and the operation sowing amount. According to the invention, through integration of the GIS and the meteorological data, accurate command and control of artificial influence weather operation are realized, and the operation efficiency and effect are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the meteorological technical field, and particularly to a GIS-based weather modification operation command method and device. BACKGROUND

[0002] In the field of weather modification operation, a precise and efficient command system is the core element to achieve the operation goal. Weather modification operation covers various operation types such as rain enhancement, hail prevention, and fog dissipation, which plays an important role in ensuring agricultural production, maintaining ecological balance, and preventing natural disasters. However, the traditional operation command method has many drawbacks.

[0003] From the analysis of the operation area, the traditional method lacks comprehensive consideration of geographical environment and meteorological conditions. In the past, the selection of operation area mainly relied on experience and judgment, and lacked comprehensive and in-depth analysis of topography, water system distribution, and meteorological elements. In terms of information interaction in the command process, there are significant problems in information transmission between each link of the traditional command mode. On the one hand, the information transmission is not timely, which makes it difficult for the commander to grasp the actual situation of the operation site in time. On the other hand, the accuracy of the information is difficult to guarantee, which makes the command decision lack reliable basis. In summary, due to the delay and error of information transmission in the past operation command, the operation scheme adjustment is not timely, resulting in low operation efficiency, and even in some cases, it also brings safety risks. SUMMARY

[0004] The present disclosure provides a GIS-based weather modification operation command method and device to at least solve the above technical problems existing in the prior art.

[0005] According to a first aspect of the present application, a GIS-based weather modification operation command method is provided, which comprises:

[0006] Obtaining meteorological data and geographical information data, and spatially registering the meteorological data and the geographical information data according to latitude and longitude coordinates to obtain initial data after registration;

[0007] Determining a first target area according to the geographical information data;

[0008] Analyzing weather data of the first target area based on the initial data, determining an operation mode according to the analysis result, and formulating an operation spreading amount based on the operation mode;

[0009] Performing weather operation of the first target area according to the operation mode and the operation spreading amount using operation equipment.

[0010] In an implementable manner, the obtaining of meteorological data and geographical information data comprises:

[0011] The weather data is collected by a weather data source, and the geographic information data is collected by a geographic information database.

[0012] In an embodiment, the target area is determined according to the geographic information data, comprising:

[0013] A second target area is determined according to the geographic information data; the second target area is an area where weather operation is prohibited;

[0014] The first target area is determined based on the second target area.

[0015] In an embodiment, the second target area is determined according to the geographic information data, comprising:

[0016] A geographic position of a target device and a population-dense area is determined according to the geographic information data;

[0017] An area with a radius set based on prior knowledge and centered on the geographic position is determined as the second target area.

[0018] In an embodiment, the operation mode is determined according to the analysis result, comprising:

[0019] A weather type and numerical prediction data are determined according to weather data of the first target area;

[0020] A weather operation condition is determined according to the numerical prediction data;

[0021] When it is determined that weather operation can be performed, the operation mode is determined according to the weather type.

[0022] In an embodiment, the operation mode comprises an airplane seeding mode and a rocket seeding mode; the seeding amount is determined based on the operation mode, comprising:

[0023] When the operation mode is the airplane seeding mode, the seeding amount is determined by the following formula,

[0024] φ1=Ψ1(t,x,y,z,M)

[0025] wherein φ1 is the airplane seeding mode, Ψ1 is a mapping relationship between an arbitrary time point t and a spatial position (x, y, z) on a flight trajectory of the airplane and a seeding speed M; M is a seeding amount of the catalyst per second; t ∈ (t1, t2), t1 and t2 are respectively a starting time and an ending time of seeding the catalyst by the airplane;

[0026] When the operation mode is the rocket seeding mode, the seeding amount is determined by the following formula,

[0027] φ2= Ψ2(V0, θ0, t, p, q, w, M)

[0028] wherein φ2 is a rocket cannon scattering mode, Ψ2 is a mapping relationship between the rocket cannon running track (p, q, w) and time t, scattering speed M; V0 is the rocket cannon launching speed; θ0 is the rocket cannon launching elevation, θ0 ∈ [45°, 85°];

[0029] wherein the rocket cannon running track (p, q, w) is:

[0030] p = p o + V0tcosθ0cosα0

[0031] q = q o + V0tcosθ0sinα0

[0032]

[0033] wherein α0 is the angle between the initial launching speed and the x direction; O(x o ,y o ) is the rocket cannon operation point coordinate.

[0034] In an implementable manner, after the weather operation of the first target area is performed by the operation equipment according to the operation mode and the operation scattering amount, the method further comprises:

[0035] real-time acquisition of position information, state information of the operation equipment and meteorological data of the operation position;

[0036] adjustment of the operation scheme according to the position information, state information and meteorological data of the operation position; the operation scheme comprises: operation geographical position, operation time and replacement of the operation equipment.

[0037] In an implementable manner, after the weather operation of the first target area is performed by the operation equipment according to the operation mode and the operation scattering amount, the method further comprises:

[0038] acquisition of meteorological monitoring data and ground observation data after the operation is completed;

[0039] evaluation of the operation effect based on the meteorological monitoring data, ground observation data and geographical information data; the operation effect evaluation comprises: rain increase amount evaluation, precipitation center position offset amount evaluation and precipitation time evaluation.

[0040] In an implementable manner, the evaluation of the operation effect based on the meteorological monitoring data, ground observation data and geographical information data comprises:

[0041] the rain increase amount is calculated in the following manner,

[0042] wherein ΔP is the rain increase amount of the precipitation center P P respectively are actual precipitation amount and precipitation amount estimation of a precipitation center;

[0043] The precipitation center position offset is calculated in the following way,

[0044] The precipitation time offset includes precipitation start time offset, precipitation end time offset, and precipitation duration offset. The precipitation start time offset is calculated in the following way,

[0045] Δt s = t' s - t s

[0046] The precipitation end time offset is calculated in the following way,

[0047] Δt e = t' e - t e

[0048] The precipitation duration offset is calculated in the following way,

[0049] ΔT = (t' e - t' s ) - (t e - t s )

[0050] Wherein, t s , t e are respectively estimation of precipitation start time and precipitation end time, t' s , t' e are respectively actual precipitation start time and end time, Δt s is precipitation start time offset, Δt e is precipitation end time offset, and ΔT is precipitation duration offset.

[0051] According to the second aspect of the present application, a weather modification operation command device based on GIS is provided, which comprises:

[0052] An acquisition module is configured to acquire meteorological data and geographic information data, and to perform spatial registration on the meteorological data and the geographic information data according to longitude and latitude coordinates to obtain initial data after registration;

[0053] A determination module is configured to determine a first target area according to the geographic information data;

[0054] An analysis module is configured to analyze weather data of the first target area based on the initial data, to determine an operation mode according to an analysis result, and to formulate an operation spreading amount based on the operation mode;

[0055] a job module, configured to perform weather job on the first target area according to the job mode and the job spreading amount.

[0056] According to a third aspect of the present application, an electronic device is provided, comprising:

[0057] at least one processor; and

[0058] a memory connected with the at least one processor; wherein,

[0059] the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the present application.

[0060] According to a fourth aspect of the present application, a non-transitory computer readable storage medium storing computer instructions is provided, the computer instructions being used to make the computer perform the method described in the present application.

[0061] According to a fifth aspect of the present application, a computer program product is provided, comprising computer programs or instructions, which are executed by a processor to implement the method described in the present application.

[0062] By integrating GIS and meteorological data, the present application realizes accurate command and control of weather modification job, and improves the efficiency and effect of the job.

[0063] It should be understood that the content described in this part is not intended to identify key or important features of the embodiments of the present application, nor to limit the scope of the present application. Other features of the present application will become apparent through the following description. The above and other objects, features and advantages of the example embodiments of the present application will become more readily understood through the following detailed description, read in conjunction with the accompanying drawings. In the drawings, several embodiments of the present application are shown by way of example and not limitation, wherein: BRIEF DESCRIPTION OF DRAWINGS

[0064] The above and other objects, features and advantages of the example embodiments of the present application will become more readily understood through the following detailed description, read in conjunction with the accompanying drawings. In the drawings, several embodiments of the present application are shown by way of example and not limitation, wherein:

[0065] In the drawings, the same or corresponding reference numbers indicate the same or corresponding parts.

[0066] Figure 1 An implementation flowchart of the GIS-based weather modification job command method in the embodiments of the present application is shown;

[0067] Figure 2 A structure diagram of the GIS-based weather modification job command device in the embodiments of the present application is shown;

[0068] Figure 3A schematic diagram of a composition structure of an electronic device in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0069] To make the objectives, technical solutions, and advantages of the present application more apparent and easy to understand, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of the present application.

[0070] From the analysis level of the operation area, when artificial precipitation enhancement operation is performed in mountainous areas, the operation opportunity is often not grasped and the operation site is often not selected well due to the failure to fully consider the influence of terrain on airflow movement and precipitation distribution, so it is difficult to fully exert the effect of artificial weather modification operation. Related researches show that in some complex terrain areas, the operation site selection is wrong, so that the precipitation after operation does not increase obviously, and even has a certain negative impact on the surrounding ecological environment.

[0071] To make the objectives, technical solutions, and advantages of the present application more apparent and easy to understand, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of the present application.

[0072] As shown in Figure 1 The present application provides a GIS-based weather modification operation command method, which comprises:

[0073] S101, acquiring meteorological data and geographic information data, and performing spatial registration on the meteorological data and the geographic information data according to latitude and longitude coordinates to obtain initial data after registration;

[0074] In some embodiments, the acquisition of the meteorological data and the geographic information data comprises:

[0075] The meteorological data is collected through a weather data source, and the geographic information data is collected through a geographic information database.

[0076] It should be noted that the weather data source in the present application includes various data sources, for example, can include real-time meteorological data obtained by devices such as meteorological satellites, ground meteorological stations, and radiosondes, wherein the meteorological data can be, for example, temperature, humidity, air pressure, wind direction, wind speed, cloud height, cloud thickness, cloud type, etc.; wherein the data source can also be other platforms capable of obtaining weather, and the meteorological data can also include other weather, which is not limited in the present application.

[0077] The geographic information data of the work area is acquired from a geographic information database in the application, wherein the geographic information data can cover topography, water system, land use type, and residential area and important infrastructure; the topography can be the distribution of mountain, plain, and hill; the water system can be the location and range of river, lake, and reservoir; the land use type can include farmland, forest land, and urban construction land; and the residential area and important infrastructure include the distribution information of airport and power station.

[0078] The acquired weather data and geographic information data are then fused, and the specific fusion manner is spatial registration according to the longitude and latitude coordinates in a unified geographic coordinate system (GIS), so as to ensure the consistency of various data in spatial position and lay a foundation for subsequent analysis and application.

[0079] S102, determining a first target area according to the geographic information data;

[0080] It should be noted that the first target area in the application is the area to be subjected to weather modification work. In the application, the first target area is mainly determined by excluding the areas prohibited from work according to relevant regulations, so as to avoid potential hazards to personnel and facilities caused by falling of shell fragments and diffusion of catalysts during work.

[0081] S103, analyzing the weather data of the first target area based on the initial data, determining a work mode according to the analysis result, and formulating a work spreading amount based on the work mode;

[0082] According to the spatial registration relationship between the meteorological data in the initial data and the geographic information data, the weather data of the first target area can be acquired, the weather data is analyzed to obtain an analysis result, and then it is determined whether the weather modification work condition is mature according to the analysis result. When it is determined that the precipitation condition is mature, the weather modification work can be performed, it is determined according to the weather data what kind of work mode is adopted, and then the corresponding work spreading amount is formulated according to the work mode.

[0083] S104, performing weather modification work on the first target area by using a work device according to the work mode and the work spreading amount.

[0084] The work mode and the work spreading amount are sent to the work device, and the weather modification work on the first target area is performed by using the work device.

[0085] The GIS-based weather modification operation command method provided in the application utilizes the powerful spatial analysis capability, data visualization function and multi-source data integration capability of GIS to improve the deficiencies of the traditional operation command method. The application can combine numerical prediction and observation data to analyze atmospheric water vapor and convective environment, determine weather modification conditions, command and control the weather modification operation process, and thus obtain better operation effect.

[0086] In some embodiments, the determining the target area according to the geographic information data comprises:

[0087] determining a second target area according to the geographic information data; the second target area is an area where weather modification is prohibited;

[0088] determining the first target area based on the second target area.

[0089] In some embodiments, the determining the second target area according to the geographic information data comprises:

[0090] determining the geographic location of the target equipment and the densely populated area according to the geographic information data;

[0091] determining a region with a radius set based on prior knowledge and centered on the geographic location as the second target area.

[0092] It can be understood that the location information of important facilities and densely populated areas is determined first, and the location information can be accurately obtained from a geographic information database. Subsequently, a buffer analysis tool in GIS is used to set a buffer zone with a suitable radius centered on these areas according to relevant safety standards and past operation experience, i.e., prior experience. For example, for important facilities such as airports, a buffer zone with a radius of [X] kilometers can be set according to aviation safety regulations; for densely populated urban areas, a buffer zone with a radius of [Y] kilometers can be set. In these buffer zones, i.e., the second target area, weather modification operations are prohibited to avoid potential hazards to personnel and facilities caused by falling artillery fragments and catalyst diffusion during the operation process. The remaining area after excluding the second target area is the first target area, i.e., the area where weather modification is needed.

[0093] In some embodiments, the determining the operation mode according to the analysis result comprises:

[0094] determining the weather data of the first target area to determine the meteorological type and numerical prediction data;

[0095] determining the weather operation condition according to the numerical prediction data;

[0096] When it is determined that weather operation can be carried out, the operation mode is determined according to the meteorological type.

[0097] It can be understood that the weather data may be, for example, cumulus, cumulonimbus, nimbostratus, etc., and the numerical prediction data 800m-3000m is relatively greater than 90%, at which time it is considered that the precipitation condition is relatively mature, and the precipitation operation can be implemented. The operation point is generally selected at the downwind direction of the cloud center by 1-2 kilometers, and the operation point should avoid the second target area. Then, the operation mode is determined according to the cloud shape, if it is stratus or nimbostratus, generally the aircraft scattering mode is selected, if it is cumulus or cumulonimbus, generally the rocket cannon scattering mode is selected; and the operation scattering amount is formulated according to the aircraft scattering mode or the rocket cannon scattering mode.

[0098] When the operation mode is the aircraft scattering mode, the operation scattering amount is formulated by the following mode,

[0099] φ1=Ψ1(t,x,y,z,M)

[0100] Wherein, φ1 is the aircraft scattering mode, Ψ1 is the mapping relationship of any time point t and spatial position (x, y, z) on the aircraft trajectory and scattering speed M; M is the scattering amount of catalyst per second, the unit is: g / s; t∈(t1, t2), t1 and t2 are respectively the starting time and the ending time of the aircraft scattering catalyst;

[0101] When the operation mode is the rocket cannon scattering mode, the operation scattering amount is formulated by the following mode,

[0102] φ2=Ψ2(V0,θ0,t,p,q,w,M)

[0103] Wherein, φ2 is the rocket cannon scattering mode, Ψ2 is the mapping relationship of the rocket cannon trajectory (p, q, w) and time t, and scattering speed M; V0 is the launch speed of the rocket cannon, the unit: m / s; θ0 is the launch angle of the rocket cannon, in order to ensure the effectiveness of the rocket cannon artificial influence precipitation operation, θ0∈[45°, 85°];

[0104] Wherein, the rocket cannon trajectory (p, q, w) is:

[0105] p=p o +V0tcosθ0cosα0

[0106] q=q o +V0tcosθ0sinα0

[0107]

[0108] Wherein, α0 is the angle between the initial speed and the x direction; O(x o ,y o ) is the coordinates of the rocket cannon operation point.

[0109] The application establishes a numerical simulation database of artificial precipitation enhancement according to different weather backgrounds (cloud type, cloud base height), seeding methods and seeding trajectories. Thus, experience is provided for the selection of subsequent operation methods, and operation efficiency is improved.

[0110] In some embodiments, after the weather operation on the first target area is performed by the operation equipment according to the operation method and the operation seeding amount, the method further comprises:

[0111] Real-time acquisition of position information and state information of the operation equipment and meteorological data of the operation position;

[0112] Adjustment of the operation scheme according to the position information, the state information and the meteorological data of the operation position; the operation scheme comprises an operation geographical position, an operation time and replacement of the operation equipment.

[0113] Specifically, during the operation implementation, the position and state information of the operation equipment and the meteorological data of the operation site can be acquired in real time through wireless communication technology. The operation equipment can be a rocket launcher, an operation aircraft, etc. These real-time data are transmitted to a GIS platform and are superimposed and displayed with previous geographical information and meteorological data, so that the commander can master the dynamic situation of the operation site in real time. According to the real-time monitored information, the commander can timely adjust the operation scheme. For example, if the moving speed and direction of the cloud layer change or the operation equipment malfunctions, the commander can make a decision quickly, adjust the operation position, time or replace the operation equipment, and ensure the smooth operation.

[0114] In some embodiments, after the weather operation on the first target area is performed by the operation equipment according to the operation method and the operation seeding amount, the method further comprises:

[0115] After the operation is completed, meteorological monitoring data and ground observation data are acquired;

[0116] Evaluation of the operation effect based on the meteorological monitoring data, the ground observation data and the geographical information data; the operation effect evaluation comprises evaluation of the rainfall amount, evaluation of the position offset of the precipitation center and evaluation of the precipitation time.

[0117] In some embodiments, the evaluation of the operation effect based on the meteorological monitoring data, the ground observation data and the geographical information data comprises:

[0118] The rainfall amount is calculated in the following manner,

[0119] wherein ΔP is the rainfall amount of the precipitation center P P respectively the actual precipitation amount and the precipitation amount estimation of the precipitation center;

[0120] The precipitation center position offset is calculated in the following way:

[0121] The precipitation time offset includes precipitation start time offset, precipitation end time offset, and precipitation duration offset. First, the precipitation time is calculated, specifically extracting the precipitation center (x c ,y c ),(x′ c ,y′ c ) precipitation time series data P(t,x c ,y c ) and P'(t,x c ,y c ), and screen the precipitation starting time t s , t' s , and the precipitation end time t e , t' e , and calculate the precipitation time length respectively;

[0122] The precipitation start time offset is calculated as follows:

[0123] Δt s =t′ s -t s

[0124] The precipitation end time offset is calculated in the following way:

[0125] Δt e =t′ e -t e

[0126] The precipitation duration offset is calculated in the following way:

[0127] ΔT=(t′ e -t′ s )-(t e -t s )

[0128] Among them, t s , t e are the estimated time of precipitation start and end, t' s , t' e are the start time and end time of actual precipitation, Δt s is the precipitation start time offset, Δt e is the precipitation end time offset, and ΔT is the precipitation duration offset.

[0129] The application can also feed back the result of the job effect evaluation to the GIS system, provide experience and reference for subsequent weather modification jobs, continuously improve the job command method and job scheme, and improve the scientificity and effectiveness of the job.

[0130] The GIS-based weather modification job command method provided by the application increases the evaluation of precipitation time and precipitation center on the basis of the existing artificial precipitation evaluation, and is more targeted for holding major activities at fixed time and fixed place.

[0131] The application obtains the job result evaluation of the weather modification job through the evaluation index of the artificial precipitation, and judges the job effect of the weather modification job.

[0132] As shown in Figure 2 The application provides a GIS-based weather modification job command device, which comprises:

[0133] The acquisition module 201 is configured to acquire meteorological data and geographic information data, and perform spatial registration on the meteorological data and the geographic information data according to longitude and latitude coordinates to obtain initial data after registration.

[0134] The determination module 202 is configured to determine a first target area according to the geographic information data.

[0135] The analysis module 203 is configured to analyze weather data of the first target area based on the initial data, determine a job mode according to an analysis result, and formulate a job spreading amount based on the job mode.

[0136] The job module 204 is configured to perform a weather job of the first target area according to the job mode and the job spreading amount.

[0137] The GIS-based weather modification job command device provided by the application acquires meteorological data and geographic information data through the acquisition module 201, and performs spatial registration on the meteorological data and the geographic information data according to longitude and latitude coordinates to obtain initial data after registration. The determination module 202 determines a first target area according to the geographic information data. The analysis module 203 analyzes weather data of the first target area based on the initial data, determines a job mode according to an analysis result, and formulates a job spreading amount based on the job mode. The job module 204 performs a weather job of the first target area according to the job mode and the job spreading amount.

[0138] According to the embodiments of the application, the application further provides an electronic device and a readable storage medium.

[0139] The electronic device includes at least one processor, and a memory connected with the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the GIS-based weather modification operation command method. The computer instructions are used to enable the computer to execute the GIS-based weather modification operation command method.

[0140] The application also provides a computer program product comprising computer programs / instructions, which, when executed by a processor, implement the GIS-based weather modification operation command method of the application.

[0141] Figure 3 A schematic block diagram of an example electronic device 800 that can be used to implement embodiments of the application is shown. The electronic device is intended to represent various forms of digital computers, such as laptops, desktops, tablets, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown here, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the application described and / or claimed in this document.

[0142] As shown in Figure 3 The device 800 includes a computing unit 801 that can perform various appropriate actions and processes in accordance with a computer program stored in a read-only memory (ROM) 802 or a computer program loaded from a storage unit 808 into a random access memory (RAM) 803. Various programs and data required for the operation of the device 800 can also be stored in the RAM 803. The computing unit 801, the ROM 802, and the RAM 803 are connected to each other through a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.

[0143] Various components in the device 800 are connected to the I / O interface 805, including an input unit 806, such as a keyboard, a mouse, etc., an output unit 807, such as various types of displays, speakers, etc., a storage unit 808, such as a magnetic disk, an optical disk, etc., and a communication unit 809, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 809 allows the device 800 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunication networks.

[0144] The computing unit 801 can be various general and / or special purpose processing components having processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, central processing units (CPUs), graphics processing units (GPUs), various specialized artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. The computing unit 801 performs various methods and processes described above, such as the GIS-based weather modification operation command method. For example, in some embodiments, the GIS-based weather modification operation command method can be implemented as a computer software program that is tangibly embodied in a machine-readable medium, such as the storage unit 808. In some embodiments, part or all of the computer program can be loaded and / or installed onto the device 800 via the ROM 802 and / or the communication unit 809. When the computer program is loaded onto the RAM 803 and executed by the computing unit 801, one or more steps of the GIS-based weather modification operation command method described above can be performed. Alternatively, in other embodiments, the computing unit 801 can be configured to perform the GIS-based weather modification operation command method by any other suitable means, such as by means of firmware.

[0145] Various implementations of the systems and techniques described above can be realized in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on a chip (SOC), a programmable logic device (PLD), a computer hardware, firmware, software, and / or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0146] Program code for carrying out methods of the present application can be written in any combination of one or more programming languages. The program code can be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the program code, when executed by the processor or controller, produces a means for implementing the functions / acts specified in the flowcharts and / or block diagrams. The program code can be executed entirely on a machine, partially on a machine, partially on a machine as a stand-alone software package, partially on a machine and partially on a remote machine or entirely on a remote machine or server.

[0147] In the context of this application, a machine-readable medium can be a tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include but is not limited to an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of the machine-readable storage medium would include a lined- up electrical connection, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0148] To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the computer. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0149] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), and the Internet.

[0150] The computer system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0151] The above description is merely that of the specific embodiments of the application, but the protection scope of the application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical range disclosed in the application, which should be covered within the protection scope of the application. Therefore, the protection scope of the application should be subject to the protection scope of the claims.

Claims

1. A GIS-based weather modification operation command method, characterized in that: The method comprises: Acquiring meteorological data and geographic information data, and spatially registering the meteorological data with the geographic information data according to longitude and latitude coordinates to obtain registered initial data; determining a first target area according to the geographic information data; Analyzing weather data of the first target area based on the initial data, determining an operation mode according to the analysis result, and formulating an operation seeding amount based on the operation mode; The weather operation in the first target area is performed using the operation equipment according to the operation mode and the operation seeding amount.

2. The method according to claim 1, characterized in that The acquisition of meteorological data and geographic information data includes: Meteorological data is collected through weather data sources, and geographic information data is collected through geographic information databases.

3. The method according to claim 1, characterized in that The determining of the target area according to the geographic information data includes: Determine a second target area based on the geographic information data; the second target area is an area where weather operations are prohibited; A first target area is determined based on the second target area.

4. The method according to claim 3, characterized in that The determining of the second target area according to the geographic information data includes: determining the geographic location of the target device and the densely populated area based on the geographic information data; An area with the geographical location as the center and a radius set based on prior knowledge as the radius is determined as the second target area.

5. The method according to claim 1, wherein Determining the operation mode according to the analysis results includes: Determining weather type and numerical forecast data based on weather data of the first target area; determining weather operating conditions based on the numerical forecast data; When it is determined that weather operations can be performed, the operation method is determined according to the weather type.

6. The method according to claim 1, characterized in that The operation mode includes an aircraft sowing mode and a rocket sowing mode; and the operation sowing amount is determined based on the operation mode, including: When the operation mode is aircraft spreading, the operation spreading amount is determined in the following way: φ1=Ψ1(t,x,y,z,M) Where φ1 is the aircraft spreading method, Ψ1 is the mapping relationship between any time point t on the aircraft trajectory and the spatial position (x, y, z) and spreading speed M; M is the amount of catalyst spread per second; t∈(t1, t2), t1 and t2 are the start and end times of the aircraft's catalyst spreading, respectively; When the operation mode is rocket artillery broadcasting, the operation broadcasting amount is determined in the following way: φ2=Ψ2(V0,θ0,t,p,q,w,M) Among them, φ2 is the rocket launcher spreading mode, Ψ2 is the mapping relationship between the rocket launcher trajectory (p, q, w) and time t and spreading speed M; V0 is the rocket launcher launch speed; θ0 is the rocket launcher launch elevation, θ0∈[45°,85°]; Among them, the rocket launcher trajectory (p, q, w) is: p=p o +V0tcosθ0cosα0 q=q o +V0tcosθ0sinα0 Among them, α0 is the angle between the initial launch velocity and the x direction; O(x o ,y o ) are the coordinates of the rocket launcher operation point.

7. The method according to claim 1, characterized in that After performing weather operations in the first target area using the operating equipment according to the operating method and the operating seeding amount, the method further includes: Obtain real-time location information, status information of operating equipment and meteorological data of the operating location; The operation plan is adjusted according to the position information, status information and meteorological data of the operation location; the operation plan includes: operation geographical location, operation time and replacement of operation equipment.

8. The method according to claim 1, characterized in that After performing weather operations in the first target area using the operating equipment according to the operating method and the operating seeding amount, the method further includes: After the operation is completed, obtain meteorological monitoring data and ground observation data; The operation effect is evaluated based on the meteorological monitoring data, ground observation data and geographic information data; the operation effect evaluation includes rainfall increase evaluation, precipitation center position offset evaluation and precipitation time evaluation.

9. The method according to claim 8, characterized in that The evaluation of the operation effect based on the meteorological monitoring data, ground observation data and geographic information data includes: The rainfall increase is calculated in the following way: Where ΔP is the rainfall increase at the precipitation center. and P P are the actual precipitation and precipitation estimate at the precipitation center, respectively; The precipitation center position offset is calculated in the following way: The precipitation time offset includes precipitation start time offset, precipitation end time offset, and precipitation duration offset. The precipitation start time offset is calculated in the following way: Δt s =t′ s -t s The precipitation end time offset is calculated in the following way: Δt e =t′ e -t e The precipitation duration offset is calculated in the following way: ΔT=(t′ e -t′ s )-(t e -t s ) Among them, t s , t e are the estimated time of precipitation start and end, t' s 、t' e are the start time and end time of actual precipitation, Δt s is the precipitation start time offset, Δt e is the precipitation end time offset, and ΔT is the precipitation duration offset.

10. A GIS-based weather modification operation command device, characterized in that: The device comprises: An acquisition module is used to acquire meteorological data and geographic information data, and spatially align the meteorological data and the geographic information data according to longitude and latitude coordinates to obtain initial data after alignment; a determination module, configured to determine a first target area according to the geographic information data; an analysis module, configured to analyze weather data of the first target area based on the initial data, determine an operation mode according to the analysis result, and formulate an operation seeding amount based on the operation mode; The operation module is used to perform weather operations in the first target area according to the operation mode and operation seeding amount.

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