Methods, apparatus, equipment and readable storage media for evaluating the smoke generation effect of drones

Abstract

This invention provides a method, apparatus, device, and readable storage medium for evaluating the smoke effect of a drone. The method includes: reconstructing terrain and landforms based on acquired geographic information; determining simulated weather conditions based on acquired meteorological information; determining the target obscuration area based on the simulated flight direction of an object; determining the smoke type based on a preset object type; setting the drone's flight attitude based on the terrain and landforms, the simulated weather conditions, and the flight direction of the object; simulating drone smoke generation based on the smoke type, the target obscuration area, and the drone's flight attitude; estimating the effective smoke concentration and effective smoke thickness; and determining the evaluation result of the drone's smoke effect based on the effective smoke concentration and effective smoke thickness. This invention solves the technical problems of existing solutions being unable to flexibly and dynamically deploy smoke and unable to accurately evaluate the effect of smoke screens on target obscuration.

Description

Technical Field

[0001] This invention relates to the field of system simulation technology, and in particular to a method, apparatus, device, and readable storage medium for evaluating the smoke emission effect of unmanned aerial vehicles (UAVs). Background Technology

[0002] Existing methods of simulating smoke screens to conceal targets typically involve deploying smoke using smoke canisters or smoke trucks. These methods lack mobility and make it impossible to assess the effectiveness of the smoke deployment. Consequently, it is impossible to improve the smoke deployment process based on the assessment results, which results in an inability to achieve the desired smoke screen concealment effect. Therefore, how to deploy smoke flexibly and dynamically, and how to accurately assess the effectiveness of smoke screen concealment, have become urgent technical problems to be solved. Summary of the Invention

[0003] This invention provides a method, apparatus, device, and readable storage medium for evaluating the smoke effect of drones, in order to solve the technical problems of existing solutions being unable to flexibly and dynamically deploy smoke and accurately evaluate the effect of smoke screens on target obscuring.

[0004] This invention provides a method for evaluating the smoke emission effect of a drone, comprising:

[0005] The terrain and landforms are reconstructed based on the acquired geographic information, and the simulated weather is determined based on the acquired meteorological information.

[0006] The target shielding area is determined based on the simulated flight direction of the aircraft, and the smoke type is determined based on the preset aircraft type.

[0007] The UAV flight attitude is set based on the terrain, the simulated weather, and the direction of the flying object's movement.

[0008] Based on the smoke type, the target obscuring area, and the UAV flight attitude, simulate UAV smoke generation and estimate the effective smoke concentration and effective smoke thickness.

[0009] The evaluation result of the smoke generation effect of the UAV is determined based on the effective smoke concentration and the effective smoke thickness.

[0010] According to the present invention, a method for evaluating the smoke emission effect of a drone includes determining the target obstruction area based on the simulated flight direction of the aircraft.

[0011] Acquire the position and attitude information of the flying object obtained from the drone simulation;

[0012] Based on the position and attitude information of the flying object, the direction of travel of the flying object is determined;

[0013] Spatial grid data is generated based on the ground feature model, and the combination result of the spatial grid data and remote sensing imagery is determined.

[0014] The target shielding area is determined based on the flight direction of the aircraft, the combined results, and the collected spatial data of the smoke screen protection area.

[0015] According to the present invention, a method for evaluating the smoke emission effect of a drone includes determining the smoke emission type based on a preset type of flying object, which includes:

[0016] Based on the flight direction of the aircraft, the preset guidance method, and the preset type of aircraft, the smoke type is determined, which includes the smoke-generating material, the smoke-generating shape, and the smoke-generating purpose.

[0017] According to the present invention, a method for evaluating the smoke emission effect of a drone includes setting the drone's flight attitude based on the terrain, the simulated weather, and the direction of flight of the drone.

[0018] Based on the terrain, the simulated weather, the direction of flight of the flying object and the preset support target, set the spatial position data and attitude data of the UAV;

[0019] Based on the terrain, the simulated weather, the direction of flight of the flying object, the preset support target, the spatial position data of the UAV and the attitude data of the UAV, the smoke emission speed and the attitude of the UAV pod are determined by the UAV equipped with a smoke-generating device.

[0020] According to the present invention, a method for evaluating the smoke emission effect of a drone includes simulating drone smoke emission and estimating the effective smoke concentration and effective smoke thickness based on the smoke type, the target obstruction area, and the drone's flight attitude.

[0021] Based on the preset smoke diffusion model, the advection term, external force term and diffusion term are solved, and the smoke diffusion process is simulated based on the solution results;

[0022] The smoke diffusion range and smoke concentration are determined by the drone equipped with the smoke-generating device, based on the smoke type, the drone's flight attitude, and the smoke diffusion process.

[0023] Based on the target shielding area, the smoke diffusion range, and the smoke concentration, the effective smoke concentration and effective smoke thickness are estimated.

[0024] According to a method for evaluating the smoke emission effect of a drone provided by the present invention, determining the evaluation result of the drone's smoke emission effect based on the effective smoke concentration and the effective smoke thickness includes:

[0025] The evaluation result of the smoke generation effect of the UAV is determined based on the comparison between the effective smoke concentration and the first preset threshold, and the comparison between the effective smoke thickness and the second preset threshold.

[0026] According to the present invention, a method for evaluating the smoke emission effect of a drone includes the steps of reconstructing the terrain and landform based on acquired geographic information and determining the simulated weather based on acquired meteorological information, which include:

[0027] Based on the standard services provided by the geospatial information platform, load and render geographic vector data, satellite imagery, oblique photogrammetry modeling, and 3D ground feature modeling;

[0028] By preprocessing the loaded and rendered geographic vector data, satellite imagery, oblique photogrammetry modeling, and 3D ground feature modeling, the terrain and landforms are restored;

[0029] The data format of the acquired meteorological information is parsed, and the parsed meteorological information is fused with the simulation system to obtain simulated meteorology.

[0030] The present invention also provides a device for evaluating the smoke emission effect of a drone, comprising:

[0031] The simulation restoration module is used to restore the terrain and landforms based on the acquired geographic information and to determine the simulated weather based on the acquired meteorological information.

[0032] The simulation data determination module is used to determine the target obstruction area based on the simulated flight direction of the flying object, and to determine the smoke type based on the preset flying object type;

[0033] The UAV flight attitude setting module is used to set the UAV flight attitude based on the terrain, the simulated weather, and the direction of flight of the UAV.

[0034] The effective smoke data estimation module is used to simulate the smoke emitted by the UAV based on the smoke type, the target obscuring area, and the UAV flight attitude, and to estimate the effective smoke concentration and effective smoke thickness.

[0035] The smoke generation effect evaluation module is used to determine the evaluation result of the drone's smoke generation effect based on the effective smoke concentration and the effective smoke thickness.

[0036] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the drone smoke emission effect evaluation method as described above.

[0037] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the drone smoke emission effect evaluation method as described above.

[0038] The present invention provides a method, apparatus, device, and readable storage medium for evaluating the smoke effect of unmanned aerial vehicles (UAVs). It reconstructs the terrain and landforms of the real world using acquired geographic information, obtains real-time meteorological information from meteorological sensors to determine the weather conditions required for simulation, acquires the flight direction of the flying object, identifies the type of flying object to determine the type of smoke, determines the required shielding area for the target based on the flying object's flight direction, sets the UAV's flight position, attitude, smoke emission speed, and pod attitude, simulates smoke generation in real time, estimates the effective smoke concentration and thickness within the shielding area, and comprehensively evaluates the effectiveness of the UAV's smoke shielding of the target based on the effective smoke concentration and thickness. This invention solves the technical problems of existing solutions being unable to flexibly and dynamically deploy smoke and unable to accurately evaluate the effectiveness of smoke shielding of targets. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0040] Figure 1 This is one of the flowcharts illustrating the method for evaluating the smoke generation effect of drones provided by the present invention;

[0041] Figure 2 This is the second flowchart of the drone smoke emission effect evaluation method provided by the present invention;

[0042] Figure 3 This is a schematic diagram of the structure of the drone smoke emission effect evaluation device provided by the present invention;

[0043] Figure 4 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0044] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0045] The following is combined Figures 1-2 The present invention describes a method for evaluating the smoke generation effect of a drone.

[0046] Please refer to Figure 1This invention provides a method for evaluating the smoke emission effect of a drone, comprising:

[0047] Step 100: Reconstruct the terrain and landforms based on the acquired geographic information, and determine the simulated weather based on the acquired meteorological information;

[0048] Specifically, the system loads and renders geographic vector data, satellite imagery, oblique photogrammetry modeling, and 3D ground feature modeling through standard services provided by the geospatial information platform. Preprocessing of the loaded and rendered data provides display capabilities for terrain features and remote sensing images of the land surface. Meteorological data is acquired through meteorological sensors, collecting data around the smoke-generating equipment to provide a simulation data foundation for smoke screen diffusion algorithms. Meteorological data required by smoke screen diffusion algorithms can also be input via the panel.

[0049] Step 200: Determine the target shielding area based on the simulated flight direction of the flying object, and determine the smoke type based on the preset flying object type;

[0050] Specifically, by using drones to simulate flying objects, the drone's position and attitude information are obtained from the image and data transmission links of the drone's ground information processing equipment. Based on the flying object's guidance method, target direction, and flight mode, the type of smoke screen that needs to be applied is determined, including the smoke-generating material, smoke-generating form, and different smoke-generating purposes. After determining the smoke-generating strategy, it can be set through the simulation system panel.

[0051] Step 300: Set the UAV flight attitude based on the terrain, the simulated weather, and the direction of flight of the flying object;

[0052] Specifically, based on the terrain, simulated weather, the direction of flight of the flying object, and the target to be covered by the smoke screen, the spatial position and attitude data of the UAV are set through the panel. The spatial position of the UAV is displayed in the UAV swarm smoke cover effect simulation system. The smoke generating equipment is mounted on the UAV platform. Based on the terrain, weather information, the direction of flight of the flying object, the target to be covered, the position and attitude of the smoke generating UAV, etc., the smoke emission speed and pod attitude of the UAV can be adjusted through the panel to obtain the set UAV flight attitude.

[0053] Step 400: Based on the smoke type, the target obscuring area, and the UAV flight attitude, simulate UAV smoke generation and estimate the effective smoke concentration and effective smoke thickness.

[0054] Specifically, based on real-time topographic and meteorological field data, the smoke screen diffusion model based on real physical parameters solves for the advection, external force, and diffusion terms, simulating the smoke screen diffusion process in real time. The smoke screen shading effect of the scene is displayed in real time in the system, simulating the entire smoke screen diffusion process, realizing the simulation and deduction of smoke screen diffusion, calculating the smoke screen diffusion range and smoke concentration in real time, and calculating the vertical projection surface formed above the smoke screen in the target area by the direction of flight or observation. Based on the vertical projection surface, the statistical range of effective smoke concentration and effective smoke thickness is defined, and effective smoke concentration thresholds and effective smoke thickness thresholds are set. The statistical results of effective smoke concentration and effective smoke thickness are displayed separately in the system interface.

[0055] Step 500: Determine the evaluation result of the smoke generation effect of the UAV based on the effective smoke concentration and the effective smoke thickness.

[0056] Specifically, based on the statistical results of effective smoke concentration and effective smoke thickness, the correctness, effectiveness, and feasibility of the UAV smoke generation mechanism are determined. The effectiveness of the UAV smoke generation in concealing the target is comprehensively evaluated based on the comparison between the effective smoke concentration and a first preset threshold, and the comparison between the effective smoke thickness and a second preset threshold. For example, if the effective smoke concentration is less than or equal to the first preset threshold, or the effective smoke thickness is less than or equal to the second preset threshold, it is determined that the UAV smoke generation is ineffective in concealing the target. Finally, based on the determination and the comprehensive evaluation results, the UAV smoke generation mechanism and strategy are iteratively optimized.

[0057] This embodiment recreates the terrain and landforms of the real world by acquiring geographic information, obtains real-time meteorological information from meteorological sensors to determine the weather conditions required for simulation, acquires the flight direction of flying objects, determines the type of smoke generated based on the type of flying objects, determines the required shielding area for the target based on the flight direction of the flying objects, sets the UAV's flight position, attitude, smoke emission speed, and pod attitude, simulates smoke generation in real time, estimates the effective smoke concentration and effective smoke thickness within the shielding area, and comprehensively evaluates the effect of the UAV's smoke shielding of the target based on the effective smoke concentration and effective smoke thickness. This solves the technical problems of existing technical solutions that cannot flexibly and dynamically deploy smoke and cannot accurately evaluate the effect of smoke screen shielding of targets.

[0058] In one embodiment, the drone smoke emission evaluation method provided in this application may further include:

[0059] Step 210: Obtain the position and attitude information of the flying object simulated by the UAV;

[0060] Step 220: Determine the direction of travel of the flying object based on its position and attitude information;

[0061] Step 230: Generate spatial grid data based on the ground feature model, and determine the combination result of the spatial grid data and remote sensing image;

[0062] Step 240: Determine the target shielding area based on the flight direction of the flying object, the combined result, and the collected spatial data of the smoke screen protection area.

[0063] Specifically, using drones to simulate flying objects, the system acquires the flying object's position and attitude information from the image and data transmission links of the drone's ground information processing equipment. Based on the flying object's spatial position and attitude data, the system displays the flying object's spatial position, target direction, guidance method (using a preset mode), and possible flight modes in the drone swarm smoke masking effect simulation system. Alternatively, the drone's position and attitude information can be input via a panel.

[0064] Based on the direction of flight of the flying object and the spatial data of the smoke screen protection area collected, spatial grid data is generated based on the ground feature model. The spatial grid data is combined with remote sensing images to calculate the geographic coordinates of the smoke screen protection area (i.e., the target obscuring area in this embodiment). It can also be drawn and set through three-dimensional geographic information scene.

[0065] This embodiment determines the target shielding area by combining the flight direction of the flying object, spatial grid data and remote sensing imagery, and the collected spatial data of the smoke screen protection area, providing a basis for evaluating the smoke generation effect.

[0066] In one embodiment, the drone smoke emission evaluation method provided in this application may further include:

[0067] Step 250: Based on the flight direction of the flying object, the preset guidance method and the preset flying object type, determine the smoke type, which includes the smoke-generating material, the smoke-generating shape and the smoke-generating purpose.

[0068] Specifically, based on the guidance method of the flying object (e.g., visible light, infrared light, and laser), the target direction, and the flight mode, the type of smoke screen that needs to be applied is determined, including different smoke-generating materials (e.g., fog oil, hexachloroethane, white phosphorus, and chlorosulfonic acid), different smoke-generating forms (e.g., blanket smoke screen and vertical smoke screen), and different purposes (e.g., shielding smoke screen and interference smoke screen). After determining the smoke-generating strategy, it can be set through the simulation system panel.

[0069] This embodiment determines the type of smoke by using information about the flying object, providing a technical basis for evaluating the smoke effect.

[0070] In one embodiment, the drone smoke emission evaluation method provided in this application may further include:

[0071] Step 310: Based on the terrain, the simulated weather, the direction of flight of the flying object, and the preset support target, set the UAV spatial position data and UAV attitude data;

[0072] Step 320: Based on the terrain, the simulated weather, the direction of flight of the flying object, the preset support target, the spatial position data of the UAV and the attitude data of the UAV, the smoke emission speed of the UAV and the attitude of the UAV pod are determined by the UAV equipped with a smoke-generating device.

[0073] Specifically, based on meteorological information such as terrain, wind speed and direction, the direction of flight of the flying object and the target to be protected, the spatial position data and attitude data of the UAV are set through the panel. The spatial position of the UAV is displayed in the simulation system of the UAV swarm smoke-generating target concealment effect. The smoke-generating equipment is mounted on the UAV platform. Based on meteorological information such as terrain, wind speed and direction, the direction of flight of the flying object, the position and attitude of the target to be protected and the smoke-generating UAV, the smoke-generating speed and pod attitude of the UAV can be adjusted through the panel.

[0074] This embodiment sets the UAV's flight attitude by considering terrain, simulated weather, and the direction of flight, laying a technical foundation for smoke generation deployment.

[0075] Please refer to Figure 2 In one embodiment, the drone smoke emission evaluation method provided in this application may further include:

[0076] Step 410: Solve the advection term, external force term and diffusion term based on the preset smoke diffusion model, and simulate the smoke diffusion process based on the solution results;

[0077] Step 420: Using the drone equipped with the smoke-generating device, determine the smoke diffusion range and smoke concentration based on the smoke type, the drone's flight attitude, and the smoke diffusion process;

[0078] Step 430: Estimate the effective smoke concentration and effective smoke thickness based on the target shielding area, the smoke diffusion range, and the smoke concentration.

[0079] Specifically, based on real-time meteorological data of complex terrain, a smoke screen diffusion model based on real physical parameters is used to solve for the advection, external force, and diffusion terms. The smoke screen diffusion process is simulated in real time, and the smoke screen occlusion effect of the scene is displayed in real time in the system using voxelization to simulate the entire diffusion process, realizing the simulation and deduction of smoke screen diffusion. The smoke screen diffusion range and smoke concentration are calculated in real time. By using the direction of flight or observation, the vertical projection surface formed above the smoke screen in the protected target area is calculated. The statistical range of effective smoke concentration and effective smoke thickness is defined based on the vertical projection surface. Effective smoke concentration threshold and effective smoke thickness threshold are set, and the statistical results of effective smoke concentration and effective smoke thickness are displayed separately in the system interface.

[0080] This embodiment simulates drone smoke generation by considering smoke type, target coverage area, and drone flight attitude, estimating effective smoke concentration and thickness, and providing a data foundation for directly evaluating smoke generation effects. This solves the technical problems of existing solutions being unable to flexibly and dynamically deploy smoke and accurately assess the effect of smoke screens on target coverage.

[0081] In one embodiment, the drone smoke emission evaluation method provided in this application may further include:

[0082] Step 510: Based on the comparison results between the effective smoke concentration and the first preset threshold, and the comparison results between the effective smoke thickness and the second preset threshold, determine the evaluation result of the smoke generation effect of the UAV.

[0083] Specifically, based on the statistical results of effective smoke concentration and effective smoke thickness, the correctness, effectiveness, and feasibility of the UAV smoke generation mechanism are determined. The effectiveness of the UAV smoke generation in concealing the target is comprehensively evaluated based on the comparison between the effective smoke concentration and a first preset threshold, and the comparison between the effective smoke thickness and a second preset threshold. For example, if the effective smoke concentration is greater than the first preset threshold and the effective smoke thickness is greater than the second preset threshold, the UAV smoke generation is considered to have a better effect on concealing the target. Finally, based on the determination and the comprehensive evaluation results, the UAV smoke generation mechanism and strategy are iteratively optimized.

[0084] This embodiment determines the evaluation result of the smoke generation effect of the UAV by comparing the effective smoke concentration and effective smoke thickness with their respective thresholds. This solves the technical problems of existing technical solutions being unable to flexibly and dynamically deploy smoke, and being unable to accurately evaluate the effect of smoke screen on target obscuring.

[0085] In one embodiment, the drone smoke emission evaluation method provided in this application may further include:

[0086] Step 110: Based on the standard services provided by the geospatial information platform, load and render geographic vector data, satellite imagery, oblique photogrammetry modeling, and 3D ground feature modeling;

[0087] Step 120: Preprocess the loaded and rendered geographic vector data, satellite imagery, oblique photogrammetry modeling, and 3D ground feature modeling to restore the terrain and landforms;

[0088] Step 130: Parse the data format of the acquired meteorological information, and integrate the parsed meteorological information with the simulation system to obtain simulated meteorology.

[0089] Specifically, based on the geospatial information platform provided by the UAV smoke effect evaluation scheme in this embodiment, geographic vector data, satellite imagery, oblique photogrammetry modeling, and 3D ground feature modeling are loaded and rendered through standard services. By preprocessing the loaded and rendered data, the display function of terrain and landform and surface remote sensing imagery is provided.

[0090] Meteorological data is acquired through meteorological sensors and transmitted to a computer terminal via wired or wireless communication. This data connects to a simulation system (simulating the effect of drone swarm smoke obscuring targets), enabling access to the terminal's data communication protocol. Real-time data streams from the terminal are pushed into the simulation system, where they are parsed according to the terminal's business data format to achieve a unified data format. Through data acquisition and parsing, the hardware digital signals are integrated with the simulation system. Key meteorological parameters such as wind speed, wind direction, air temperature, atmospheric pressure, and relative humidity around the smoke-generating equipment are collected, providing a simulation data foundation for the smoke screen diffusion algorithm. Meteorological data required by algorithms such as smoke screen diffusion can also be input via a panel.

[0091] This embodiment uses geographic information to recreate the terrain and landforms of the real world, and determines the simulated weather based on the acquired meteorological information, providing a data foundation for UAV smoke simulation.

[0092] The following describes the drone smoke emission effect evaluation device provided by the present invention. The drone smoke emission effect evaluation device described below can be referred to in correspondence with the drone smoke emission effect evaluation method described above.

[0093] Please refer to Figure 3 The present invention also provides a device for evaluating the smoke emission effect of a drone, comprising:

[0094] The simulation module 301 is used to reconstruct the terrain and landforms based on the acquired geographic information and to determine the simulated weather based on the acquired meteorological information.

[0095] The simulation data determination module 302 is used to determine the target obstruction area based on the simulated flight direction of the flying object and to determine the smoke type based on the preset flying object type.

[0096] The UAV flight attitude setting module 303 is used to set the UAV flight attitude based on the terrain, the simulated weather, and the direction of flight of the UAV.

[0097] The effective smoke data estimation module 304 is used to simulate the smoke generated by the UAV based on the smoke type, the target obscuring area and the UAV flight attitude, and to estimate the effective smoke concentration and effective smoke thickness.

[0098] The smoke generation effect evaluation module 305 is used to determine the evaluation result of the smoke generation effect of the UAV based on the effective smoke concentration and the effective smoke thickness.

[0099] Optionally, the simulation data determination module includes:

[0100] The flying object data acquisition unit is used to acquire the position and attitude information of flying objects simulated by the UAV.

[0101] The flying object direction determination unit is used to determine the flying object's direction of travel based on the flying object's position and attitude information;

[0102] The result determination unit is used to generate spatial grid data based on the ground feature model and determine the combination result of the spatial grid data and the remote sensing image.

[0103] The target shielding area determination unit is used to determine the target shielding area based on the flight direction of the flying object, the combination result, and the collected spatial data of the smoke screen protection area.

[0104] Optionally, the simulation data determination module further includes:

[0105] The smoke type determination unit is used to determine the smoke type based on the flight direction of the aircraft, the preset guidance method and the preset aircraft type. The smoke type includes the smoke material, the smoke shape and the smoke purpose.

[0106] Optionally, the UAV flight attitude setting module includes:

[0107] The UAV flight attitude setting unit is used to set the UAV spatial position data and UAV attitude data based on the terrain, the simulated weather, the flight direction of the flying object and the preset support target.

[0108] The UAV data determination unit is used to determine the smoke emission speed and pod attitude of the UAV based on the terrain, simulated weather, the direction of flight of the flying object, the preset support target, the spatial position data of the UAV, and the attitude data of the UAV, through the UAV equipped with a smoke-generating device.

[0109] Optionally, the effective smoke generation data estimation module includes:

[0110] The smoke diffusion process simulation unit is used to solve the advection term, external force term and diffusion term based on the preset smoke diffusion model, and simulate the smoke diffusion process based on the solution results;

[0111] The smoke screen data determination unit is used to determine the smoke screen diffusion range and smoke screen concentration based on the smoke type, the flight attitude of the drone and the smoke screen diffusion process using the drone equipped with the smoke-generating device.

[0112] The smoke data estimation unit is used to estimate the effective smoke concentration and effective smoke thickness based on the target shielding area, the smoke diffusion range, and the smoke concentration.

[0113] Optionally, the smoke generation effect evaluation module includes:

[0114] The smoke generation effect evaluation unit is used to determine the evaluation result of the smoke generation effect of the UAV based on the comparison result between the effective smoke concentration and the first preset threshold, and the comparison result between the effective smoke thickness and the second preset threshold.

[0115] Optionally, the restoration simulation module includes:

[0116] The data loading and rendering unit is used to load and render geographic vector data, satellite imagery, oblique photogrammetry modeling, and 3D ground feature modeling based on the standard services provided by the geospatial information platform.

[0117] The terrain and landform restoration unit is used to restore the terrain and landform by preprocessing the loaded and rendered geographic vector data, satellite imagery, oblique photogrammetry modeling, and 3D ground feature modeling.

[0118] The information system fusion unit is used to parse the data format of the acquired meteorological information, and then fuse the parsed meteorological information with the simulation system to obtain simulated meteorology.

[0119] Figure 4 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 4 As shown, the electronic device may include a processor 410, a communications interface 420, a memory 430, and a communication bus 440. The processor 410, communications interface 420, and memory 430 communicate with each other via the communication bus 440. The processor 410 can call logical instructions stored in the memory 430 to execute a method for evaluating the smoke emission effect of a drone.

[0120] Furthermore, the logical instructions in the aforementioned memory 430 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0121] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is able to execute the drone smoke emission effect evaluation method provided by the above methods.

[0122] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the drone smoke emission effect evaluation method provided by the above methods.

[0123] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0124] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0125] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for evaluating a smoke effect of a UAV, characterized in that, The method comprises the following steps: restoring the terrain based on the obtained geographic information, and determining the simulated weather based on the obtained meteorological information; determining the target shielding area according to the flight direction of the simulated flying object, and determining the smoke type based on the preset flying object category; setting the flight attitude of the unmanned aerial vehicle based on the terrain, the simulated weather, and the flight direction of the flying object; simulating the smoke emission of the unmanned aerial vehicle according to the smoke type, the target shielding area, and the flight attitude of the unmanned aerial vehicle, and estimating the effective concentration and effective thickness of the smoke emission; determining the evaluation result of the smoke emission effect of the unmanned aerial vehicle according to the effective concentration and the effective thickness of the smoke emission; the step of determining the target shielding area according to the flight direction of the simulated flying object comprises: obtaining the position and attitude information of the flying object simulated by the unmanned aerial vehicle; determining the flight direction of the flying object based on the position and attitude information of the flying object; generating spatial grid data based on the ground object model, and determining the combination result of the spatial grid data and the remote sensing image; determining the target shielding area according to the flight direction of the flying object, the combination result, and the collected smoke screen support area spatial data. 2.The UAV smoke effect evaluation method of claim 1, wherein, the step of determining the smoke type based on the preset flying object category comprises: determining the smoke type based on the flight direction of the flying object, the preset guide mode, and the preset flying object category, wherein the smoke type includes the smoke emission material, the smoke emission form, and the smoke emission purpose. 3.The UAV smoke effect evaluation method of claim 1, wherein, the step of setting the flight attitude of the unmanned aerial vehicle based on the terrain, the simulated weather, and the flight direction of the flying object comprises: setting the spatial position data and the attitude data of the unmanned aerial vehicle based on the terrain, the simulated weather, the flight direction of the flying object, and the preset support target; determining the smoke emission speed of the unmanned aerial vehicle and the attitude of the unmanned aerial vehicle pod by the unmanned aerial vehicle carrying the smoke emission equipment based on the terrain, the simulated weather, the flight direction of the flying object, the preset support target, the spatial position data of the unmanned aerial vehicle, and the attitude data of the unmanned aerial vehicle.

4. The unmanned aerial vehicle smoking effect evaluation method of claim 3, wherein, the step of simulating the smoke emission of the unmanned aerial vehicle according to the smoke type, the target shielding area, and the flight attitude of the unmanned aerial vehicle, and estimating the effective concentration and effective thickness of the smoke emission comprises: solving the advection term, the external force term, and the diffusion term based on the preset smoke screen diffusion model, and simulating the smoke screen diffusion process according to the solving result; determining the smoke screen diffusion range and the smoke screen concentration based on the smoke type, the flight attitude of the unmanned aerial vehicle, and the smoke screen diffusion process by the unmanned aerial vehicle carrying the smoke emission equipment; estimating the effective concentration and effective thickness of the smoke emission according to the target shielding area, the smoke screen diffusion range, and the smoke screen concentration. 5.The UAV smoking effect evaluation method of claim 1, wherein, the step of determining the evaluation result of the smoke emission effect of the unmanned aerial vehicle according to the effective concentration and the effective thickness of the smoke emission comprises: determining the evaluation result of the smoke emission effect of the unmanned aerial vehicle according to the comparison result between the effective concentration and the first preset threshold, and the comparison result between the effective thickness and the second preset threshold. 6.The UAV smoking effect evaluation method of claim 1, wherein, the step of restoring the terrain based on the obtained geographic information, and determining the simulated weather based on the obtained meteorological information comprises: loading and rendering geographic vector data, satellite images, oblique photography modeling, and three-dimensional ground object modeling based on the standard service provided by the geographic space information platform; The geographical vector data, satellite images, oblique photography modeling and three-dimensional feature modeling loaded after rendering are preprocessed to restore the topography and geomorphology; The data format of the obtained meteorological information is analyzed, the analyzed meteorological information is fused with the simulation system, and the simulation meteorology is obtained.

7. A drone smoke effect evaluation device, characterized in that, The method comprises the following steps: a restoration simulation module for restoring the topography and geomorphology based on the obtained geographical information and determining the simulation meteorology based on the obtained meteorological information; a simulation data determination module for determining the target shielding area according to the simulated flight direction of the flying object and determining the smoke type based on the preset flying object category; a UAV flight attitude setting module for setting the UAV flight attitude based on the topography and geomorphology, the simulation meteorology and the flight direction of the flying object; a smoke effective data estimation module for simulating the UAV smoke emission according to the smoke type, the target shielding area and the UAV flight attitude, and estimating the smoke effective concentration and the smoke effective thickness; a smoke effect evaluation module for determining the evaluation result of the UAV smoke emission effect according to the smoke effective concentration and the smoke effective thickness; the target shielding area is determined according to the simulated flight direction of the flying object, which comprises the following steps: obtaining the flying object position and flying object attitude information simulated by the UAV; determining the flight direction of the flying object based on the flying object position and the flying object attitude information; generating spatial grid data based on the feature model and determining the combination result of the spatial grid data and the remote sensing image; determining the target shielding area according to the flight direction of the flying object, the combination result and the collected smoke screen support area spatial data.

8. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the program to realize the UAV smoke emission effect evaluation method according to any one of claims 1 to 6. 9.A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to realize the UAV smoke emission effect evaluation method according to any one of claims 1 to 6.

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