Distributed optimization method, device and equipment for unmanned aerial vehicle stealth material layout

Abstract

The invention discloses a distributed optimization method, device and equipment for unmanned aerial vehicle stealth material layout. The method comprises the steps that stealth materials are divided into blocks; the stealth effect of each stealth material block is calculated, and the stealth effect total deviation is calculated; and judging whether the stealth effect total deviation is smaller than or equal to a preset threshold value, if so, determining the layout of the current stealth material as an optimal scheme, otherwise, adjusting the voltage applied to each stealth material block, and returning to recalculate the stealth effect of each stealth material block so as to realize the optimal layout scheme. The method provided by the invention comprehensively considers the influence of the performance, layout and voltage application of the unmanned aerial vehicle stealth material on the flight task, can effectively improve the stealth effect of the unmanned aerial vehicle in a complex environment, prolongs the task execution time of the unmanned aerial vehicle, reduces the risk of being detected, guarantees the flight performance of the unmanned aerial vehicle, and improves the safety of the unmanned aerial vehicle. And a technical guarantee is provided for the unmanned aerial vehicle to execute a stealth task.

Description

Technical Field

[0001] The present invention relates to the field of unmanned aerial vehicles (UAVs), and in particular to a distributed optimization method, device, and equipment for deploying stealth materials on UAVs. Background Art

[0002] With the development of drone technology, stealth has become a key consideration in drone design. Traditional stealth materials are often applied as coatings to drone surfaces. However, this approach has limitations in thermal imaging and radar reflectivity, making it incapable of dynamically adapting to specific environments and missions.

[0003] In recent years, stealth materials based on graphene films have attracted increasing attention due to their superior electrical conductivity and thermal regulation properties. Summary of the Invention

[0004] Purpose of the invention: The purpose of the present invention is to provide a distributed optimization method for the layout of stealth materials for drones, aiming to obtain the optimal layout method of stealth materials based on graphene films through scientific and reasonable calculation and optimization, so as to significantly improve the concealment of drones.

[0005] Technical solution: A distributed optimization method for the placement of stealth materials for drones, comprising the following steps: (1) The stealth material is divided into blocks, and the sum of the areas of all stealth material blocks is equal to the surface area of ​​the UAV; (2) Calculate the stealth effect of each stealth material block; (3) Based on the stealth effect in step (2), calculate the total stealth effect deviation; (4) Determine whether the total deviation of the stealth effect is less than or equal to a preset threshold. If so, the current layout of the stealth material is the optimal solution. Otherwise, adjust the voltage applied to each piece of stealth material and return to step (2).

[0006] Preferably, the stealth effect R of the i-th stealth material block is i The calculation method is: , , Where T i,mat is the temperature of the ith stealth material block after voltage is applied, T env is the ambient temperature, S i is the area of ​​the i-th stealth material block, S surface is the surface area of ​​the drone, D i is the distance from the i-th stealth material block to the target, V i is the voltage applied to the i-th stealth material block, V maxis the maximum voltage allowed by the stealth material, k1 and k2 are the performance correlation coefficients of the stealth material, and α and β are the thermal response coefficients of the stealth material.

[0007] Preferably, the calculation method of the total stealth effect deviation J in step (3) is: , Among them, R i is the stealth effect of the i-th stealth material block, R i,des is the expected stealth effect of the i-th stealth material block, and N is the total number of stealth material blocks.

[0008] Preferably, after step (1) and before step (2), it further includes judging whether the area of ​​each stealth material block meets the following constraints: S i ≥S min , where S min is the minimum area of ​​the stealth material block; If there is an area smaller than S min When the stealth material block is used, the following redistribution rules are implemented: ① Make the area smaller than S min The invisible material blocks are screened out to form a collection , a collection of stealth material blocks , B i is the i-th invisible material block; ②For set B small For each stealth material block in the , search in its adjacent blocks. If there is a single adjacent block that meets the merging condition, the corresponding stealth material block with the smallest area among the adjacent blocks that meet the condition will be selected and merged into a new stealth material block. The merging condition is that the sum of the area of ​​the adjacent block and the corresponding stealth material block is greater than or equal to S min If there is no single adjacent block that meets the merging conditions, then the adjacent blocks are merged with the corresponding stealth material blocks in order from small to large areas to form new stealth material blocks, until the area of ​​the new stealth material block is greater than or equal to S min .

[0009] Preferably, the voltage applied to each piece of stealth material after adjustment in step (4) is: , , Among them, V i new is the voltage applied to the ith stealth material block after adjustment, V i old is the voltage of the i-th stealth material block before adjustment, η is the learning efficiency of voltage update, J i is the stealth effect deviation of the i-th stealth material block, Ri is the stealth effect of the i-th stealth material block, R i,des is the expected stealth effect of the i-th stealth material block.

[0010] The present invention also provides a UAV stealth material placement optimization system based on the above method, comprising: A block division unit is used to divide the stealth material into blocks, and the total area of ​​all stealth material blocks is equal to the surface area of ​​the UAV; A stealth effect calculation unit, used to calculate the stealth effect of each stealth material block and the total stealth effect deviation; The voltage adjustment unit is used to adjust the voltage applied to each piece of stealth material when the total deviation of the stealth effect exceeds a preset threshold.

[0011] The present invention also provides a computer-readable storage medium storing one or more programs, wherein the one or more programs include instructions that, when executed by a computing device, cause the computing device to perform the method described above.

[0012] The present invention also provides an electronic device comprising one or more processors, one or more memories, and one or more programs, wherein the one or more programs are stored in the one or more memories and are configured to be executed by the one or more processors, and the one or more programs include instructions for executing the method described above.

[0013] Beneficial effects: The present invention proposes a distributed optimization method for the layout of UAV stealth materials, which fully considers the influencing factors such as the number of UAV stealth materials, the laying area, and the applied voltage. This method is easy to calculate, and the parameters are easy to measure or estimate. It can quickly calculate the stealth performance of the material and adjust the control voltage to improve the stealth effect of the material to achieve the optimal control solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a flow chart of a method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0015] In order to make the contents of the present invention more clearly understood, the present invention is further described in detail below with reference to specific embodiments.

[0016] In one embodiment: it is assumed that a drone body consists of three regions (i.e., front, middle, and rear parts), and graphene stealth film material is used.

[0017] The following will adopt a distributed optimization method for the deployment of stealth materials for drones proposed by the present invention: (1) Obtaining information about the stealth material and the environment. Area 1 (front): The area of ​​the stealth material block is S1 = 0.6 m2 , voltage V1 = 4V, distance D1 = 1500m; Area 2 (middle): stealth material block area S2 = 0.4m 2 , voltage V2 = 3.5V, distance D2 = 1500m; Area 3 (rear): stealth material block area S3 = 0.3m 2 , voltage V3=3V, distance D3=1500m; Ambient temperature T env =25℃, maximum voltage V max =4V, material performance coefficient k1=0.7, k2=0.5; Thermal response coefficient α=0.2, β=0.3; Expected stealth effect R 1,des =0.07, R 2,des =0.04, R 3,des =0.025.

[0018] (2) Check whether the area of ​​each stealth material block meets the constraint conditions. In this example, S min =0.1 m 2 , that is, the areas of the above three regions all meet the constraints.

[0019] (3) Calculate the stealth effect: Calculate the stealth effect of area 1 R1=0.06426; Calculate the stealth effect of area 2 R2=0.03423; The calculated stealth effect of area 3 is R3=0.02077.

[0020] (4) Calculate the total deviation of the stealth effect J = 8.41042 × 10 -5 .

[0021] (5) In this example, the threshold J of the total deviation of the stealth effect is set max =1×10 -4 , the above calculation results in J=8.41042×10 -5 ≤J max =1×10 -4 , then there is no need to adjust the voltage to optimize the stealth effect. If it is not satisfied, it is necessary to readjust the control voltage to optimize the stealth effect until the threshold condition is met.

[0022] The above example demonstrates how to implement a distributed optimization method for the placement of stealth materials for UAVs. By optimizing the stealth effect based on stealth evaluation, the stealth material was successfully adjusted and optimized. This method significantly improves the stealth of UAVs during missions and provides a theoretical basis for further practical applications.

[0023] The present invention also provides a device for optimizing the placement of stealth materials for unmanned aerial vehicles, comprising: A block division unit is used to divide the stealth material into blocks, and the total area of ​​all stealth material blocks is equal to the surface area of ​​the UAV; A stealth effect calculation unit, used to calculate the stealth effect of each stealth material block and the total stealth effect deviation; The voltage adjustment unit is used to adjust the voltage applied to each piece of stealth material when the total deviation of the stealth effect exceeds a preset threshold.

[0024] The technical solution of the above-mentioned drone stealth material layout optimization device is similar to the technical solution of the aforementioned distributed optimization method, and will not be repeated here.

[0025] Based on the same technical solution, the present invention also discloses an electronic device, including one or more processors, one or more memories and one or more programs, wherein the one or more programs are stored in the one or more memories and are configured to be executed by the one or more processors, and the one or more programs include instructions for executing the above-mentioned distributed optimization method for the deployment of drone stealth materials.

[0026] Based on the same technical solution, the present invention also discloses a computer-readable storage medium storing one or more programs, wherein the one or more programs include instructions, which, when executed by a computing device, enable the computing device to execute the above-mentioned distributed optimization method for the deployment of drone stealth materials.

[0027] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0028] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1A device that provides the functions specified in a block or multiple blocks.

[0029] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0030] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

Claims

1. A distributed optimization method for the placement of stealth materials for unmanned aerial vehicles, characterized in that: The steps include: (1) The stealth material is divided into blocks, and the sum of the areas of all stealth material blocks is equal to the surface area of ​​the UAV; (2) Calculate the stealth effect of each stealth material block; (3) Based on the stealth effect in step (2), calculate the total stealth effect deviation; (4) Determine whether the total deviation of the stealth effect is less than or equal to a preset threshold. If so, the current layout of the stealth material is the optimal solution. Otherwise, adjust the voltage applied to each piece of stealth material and return to step (2).

2. The layout optimization method according to claim 1, characterized in that: The stealth effect R of the i-th stealth material block in step (2) i The calculation method is: , , Where T i,mat is the temperature of the ith stealth material block after voltage is applied, T env is the ambient temperature, S i is the area of ​​the i-th stealth material block, S surface is the surface area of ​​the drone, D i is the distance from the i-th stealth material block to the target, V i is the voltage applied to the i-th stealth material block, V max is the maximum voltage allowed by the stealth material, k1 and k2 are the performance correlation coefficients of the stealth material, and α and β are the thermal response coefficients of the stealth material.

3. The layout optimization method according to claim 1, characterized in that: The calculation method of the total deviation J of the stealth effect in step (3) is: , Among them, R i is the stealth effect of the i-th stealth material block, R i,des is the expected stealth effect of the i-th stealth material block, and N is the total number of stealth material blocks.

4. The layout optimization method according to claim 1, characterized in that: After step (1) and before step (2), it is also necessary to determine whether the area of ​​each stealth material block meets the following constraints: S i ≥S min , where S min is the minimum area of ​​the stealth material block; If there is an area smaller than S min When the stealth material block is used, the following redistribution rules are implemented: ① Make the area smaller than S min The invisible material blocks are screened out to form a collection , a collection of stealth material blocks , B i is the i-th invisible material block; ②For set B small For each stealth material block in the , search in its adjacent blocks. If there is a single adjacent block that meets the merging condition, the corresponding stealth material block with the smallest area among the adjacent blocks that meet the condition will be selected and merged into a new stealth material block. The merging condition is that the sum of the area of ​​the adjacent block and the corresponding stealth material block is greater than or equal to S min If there is no single adjacent block that meets the merging conditions, then the adjacent blocks are merged with the corresponding stealth material blocks in order from small to large areas to form new stealth material blocks, until the area of ​​the new stealth material block is greater than or equal to S min .

5. The layout optimization method according to claim 1, characterized in that: The voltage applied to each piece of stealth material after adjustment in step (4) is: , , Among them, V i new is the voltage applied to the ith stealth material block after adjustment, V i old is the voltage of the i-th stealth material block before adjustment, η is the learning efficiency of voltage update, J i is the stealth effect deviation of the i-th stealth material block, R i is the stealth effect of the i-th stealth material block, R i,des is the expected stealth effect of the i-th stealth material block.

6. A device for optimizing the placement of stealth materials for unmanned aerial vehicles based on the method according to any one of claims 1 to 5, characterized in that: include: A block division unit is used to divide the stealth material into blocks, and the total area of ​​all stealth material blocks is equal to the surface area of ​​the UAV; A stealth effect calculation unit, used to calculate the stealth effect of each stealth material block and the total stealth effect deviation; The voltage adjustment unit is used to adjust the voltage applied to each piece of stealth material when the total deviation of the stealth effect exceeds a preset threshold.

7. A computer-readable storage medium storing one or more programs, wherein the one or more programs include instructions, characterized in that When the instructions are executed by a computing device, the computing device is caused to perform the method according to any one of claims 1 to 5.

8. An electronic device, characterized in that: The method comprises one or more processors, one or more memories, and one or more programs, wherein the one or more programs are stored in the one or more memories and are configured to be executed by the one or more processors, and the one or more programs include instructions for executing the method according to any one of claims 1 to 5.

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