Unmanned aerial vehicle cluster interception method and device and unmanned aerial vehicle cluster interception system

Abstract

The invention provides an unmanned aerial vehicle cluster interception method and device and an unmanned aerial vehicle cluster interception system, and relates to the technical field of unmanned aerial vehicle defense, and the method comprises the steps: obtaining the position information and speed information of each unmanned aerial vehicle in a target unmanned aerial vehicle cluster through an unmanned aerial vehicle cluster detection unit; calculating a cluster motion track of the target unmanned aerial vehicle cluster based on the position information and the speed information of each unmanned aerial vehicle, and calculating a cluster coverage area of the target unmanned aerial vehicle cluster based on the position information of each unmanned aerial vehicle; and based on the cluster movement track and the cluster coverage area, controlling the unmanned aerial vehicle in the unmanned aerial vehicle unit to carry an interception net to intercept the cluster on the target unmanned aerial vehicle cluster movement path. According to the unmanned aerial vehicle cluster interception method, the unmanned aerial vehicle cluster interception device and the unmanned aerial vehicle cluster interception system provided by the invention, the unmanned aerial vehicle cluster detection unit is used for detecting the motion trail of the target unmanned aerial vehicle cluster, and the target unmanned aerial vehicle cluster is effectively intercepted in a manner that the unmanned aerial vehicle carries the interception net.

Description

Technical Field

[0001] The present application relates to the field of drone defense technology, and in particular to a drone cluster interception method, device, and drone cluster interception system. Background Art

[0002] Drone swarm combat is profoundly changing the form of modern warfare. The destructive power created by its large number and intelligent coordination far exceeds that of traditional weapon systems.

[0003] In related technologies, hundreds or even thousands of low-cost drones are controlled in swarms through autonomous networking and artificial intelligence (AI) algorithms, enabling them to perform complex missions such as reconnaissance and surveillance, electronic suppression, and precision strikes. Drone swarms can paralyze defenses through distributed saturation attacks, making it difficult for traditional air defense systems to cope with drone swarms that penetrate defenses simultaneously from multiple dimensions.

[0004] Based on this, there is an urgent need for a drone swarm interception system to effectively intercept the opponent's saturation drone swarm attack. Summary of the Invention

[0005] The purpose of this application is to provide a drone cluster interception method, device and drone cluster interception system, which uses a drone cluster detection unit to detect the movement trajectory of the target drone cluster, and effectively intercepts the target drone cluster by carrying an interception net on the drone.

[0006] In a first aspect, the present application provides a method for intercepting a swarm of drones, comprising: The position information and speed information of each drone in the target drone cluster are obtained through the drone cluster detection unit; the cluster motion trajectory of the target drone cluster is calculated based on the position information and speed information of each drone, and the cluster coverage area of the target drone cluster is calculated based on the position information of each drone; based on the cluster motion trajectory and the cluster coverage area, the drones in the drone unit are controlled to carry the interception net to intercept the cluster on the moving path of the target drone cluster.

[0007] Optionally, the calculating of the cluster motion trajectory of the target drone cluster based on the position information and speed information of each drone includes: calculating the cluster average speed of the target drone cluster based on the speed of each drone, and calculating the cluster motion direction of the target drone cluster based on the cluster average speed; and calculating the cluster motion trajectory of the target drone cluster based on the cluster motion direction.

[0008] Optionally, the cluster average speed is calculated based on the following formula: in, The target UAV cluster i The speed of the drone, n is the number of drones in the target drone cluster.

[0009] Optionally, the cluster movement direction is calculated based on the following formula: in, are the components of the cluster average velocity vector.

[0010] Optionally, the calculating the cluster coverage area of the target drone cluster based on the position information of each drone includes: calculating the center position of the target drone cluster based on the position information of each drone in the target drone cluster; and calculating the cluster coverage area of the target drone cluster based on the cluster center position.

[0011] Optionally, the cluster center position is calculated based on the following formula: in, The target UAV cluster i The location information of the drone, n is the number of drones in the target drone cluster.

[0012] Optionally, the cluster coverage area is calculated based on the following formula: in, S is the cluster coverage area, is the location information of the i-th UAV in the target UAV cluster; is the center position of the cluster; n is the number of drones in the target drone cluster.

[0013] In a second aspect, the present application also provides a drone cluster interception device, comprising: An acquisition module is used to obtain the position information and speed information of each drone in the target drone cluster through the drone cluster detection unit; a calculation module is used to calculate the cluster motion trajectory of the target drone cluster based on the position information and speed information of each drone, and calculate the cluster coverage area of the target drone cluster based on the position information of each drone; a control module is used to control the drones in the drone unit to carry the interception net to intercept the cluster on the moving path of the target drone cluster based on the cluster motion trajectory and the cluster coverage area.

[0014] Optionally, the calculation module is specifically used to calculate the cluster average speed of the target drone cluster based on the speed of each drone, and calculate the cluster movement direction of the target drone cluster based on the cluster average speed; the calculation module is also specifically used to calculate the cluster movement trajectory of the target drone cluster based on the cluster movement direction.

[0015] Optionally, the cluster average speed is calculated based on the following formula: in, The target UAV cluster i The speed of the drone, n is the number of drones in the target drone cluster.

[0016] Optionally, the cluster movement direction is calculated based on the following formula: in, are the components of the cluster average velocity vector.

[0017] Optionally, the calculation module is specifically used to calculate the center position of the target drone cluster based on the position information of each drone in the target drone cluster; the calculation module is also specifically used to calculate the cluster coverage area of the target drone cluster based on the cluster center position.

[0018] Optionally, the cluster center position is calculated based on the following formula: in, The target UAV cluster i The location information of the drone, n is the number of drones in the target drone cluster.

[0019] Optionally, the cluster coverage area is calculated based on the following formula: in, S is the cluster coverage area, is the location information of the i-th UAV in the target UAV cluster; is the center position of the cluster; n is the number of drones in the target drone cluster.

[0020] In a third aspect, the present application also provides a computer program product, comprising a computer program / instruction, which, when executed by a processor, implements the steps of any of the above-described drone cluster interception methods.

[0021] In a fourth aspect, the present application also provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of any of the above-described drone cluster interception methods are implemented.

[0022] In a fifth aspect, the present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of any of the above-mentioned drone cluster interception methods are implemented.

[0023] In the sixth aspect, the present application also provides a drone interception system, comprising: a drone cluster detection unit, a towed drone unit containing multiple drones, and a drone control unit; the drone control unit is used to implement the steps of the drone cluster interception method described in the first aspect above.

[0024] The drone cluster interception method, device, and drone cluster interception system provided by the present application first obtain the position information and speed information of each drone in the target drone cluster through the drone cluster detection unit; then, the cluster motion trajectory of the target drone cluster is calculated based on the position information and speed information of each drone, and the cluster coverage area of the target drone cluster is calculated based on the position information of each drone; finally, based on the cluster motion trajectory and the cluster coverage area, the drones in the drone unit are controlled to carry an interception net to intercept the cluster on the moving path of the target drone cluster. In this way, the drone cluster detection unit is used to detect the motion trajectory of the target drone cluster, and the target drone cluster is effectively intercepted by the drones carrying the interception net. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the present application or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0026] Figure 1 This is a schematic diagram of the interception method of the drone cluster interception system provided by this application; Figure 2 This is a flow chart of the drone cluster interception method provided by this application; Figure 3 This is a schematic diagram of the interception array of the drone swarm interception system provided by this application; Figure 4 This is a schematic diagram of the structure of the drone cluster interception device provided by this application; Figure 5 It is a structural diagram of the electronic device provided in this application. DETAILED DESCRIPTION

[0027] To make the objectives, technical solutions, and advantages of this application more clear, the technical solutions of this application will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of this application.

[0028] The terms "first," "second," and the like in the specification and claims of this application are used to distinguish similar objects, and are not used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of this application can be implemented in an order other than that illustrated or described herein, and that the objects distinguished by "first," "second," and the like are generally of the same type, and do not limit the number of objects; for example, the first object can be one or more. In addition, the term "and / or" in the specification and claims refers to at least one of the connected objects, and the character " / " generally indicates that the objects connected are in an "or" relationship.

[0029] In order to solve the technical problem of the difficulty in intercepting drone swarms in related technologies, the present invention provides a drone swarm interception system and a corresponding interception method. The interception system includes: a drone swarm detection unit, and a towing drone unit containing multiple drones. Figure 1 The figure shows a schematic diagram of the interception method of the drone swarm interception system provided by this application. After detecting the target drone swarm, the interception system can control the drones to drag the interception net to intercept. The interception net is made of a polymer material with good toughness, high temperature resistance, and light material. The lower end of the interception net is mounted with a counterweight, and the upper end can be towed by the drone.

[0030] The detection unit of the drone cluster interception system provided in the embodiment of the present application includes but is not limited to ground visual monitoring equipment and millimeter-wave radar equipment, as well as a drone-mounted visual system and a millimeter-wave radar system. The detection unit simultaneously detects the status of the enemy drone cluster and its own drone equipment, and gives the position of the drone in real time. When the drone cluster detection unit detects that the enemy drone cluster has launched an attack, it calculates the movement path of the drone cluster in real time, and at the same time drags the drone unit carrying the interception net unit to intercept the cluster on the path of the enemy drone cluster. The drone cluster detection unit can also identify its own equipment, that is, by comparing the position given by the monitoring unit with the position given by the drone unit itself, after determining its own drone unit, the monitoring system tracks it in real time and feeds back the data to the drone unit through the communication system, thereby enhancing the stability of the drone unit.

[0031] The following describes in detail the drone cluster interception method provided in the embodiment of the present application through specific embodiments and their application scenarios in conjunction with the accompanying drawings.

[0032] like Figure 2 As shown, an embodiment of the present application provides a method for intercepting a drone cluster, which may include the following steps 201 to 203: Step 201: Obtain the position information and speed information of each drone in the target drone cluster through the drone cluster detection unit.

[0033] For example, the radar data or image data collected by the drone swarm detection unit can be used to determine the position and speed of each drone in the target drone swarm. Based on the position and speed of each drone, the cluster motion trajectory of the target drone swarm can be calculated.

[0034] Step 202: Calculate the cluster motion trajectory of the target UAV cluster based on the position information and speed information of each UAV, and calculate the cluster coverage area of the target UAV cluster based on the position information of each UAV.

[0035] Specifically, in the above step 202, the step of calculating the cluster motion trajectory of the target UAV cluster based on the position information and speed information of each UAV may further include the following steps 202a1 and 202a: Step 202a1: Calculate the cluster average speed of the target UAV cluster based on the speed of each UAV, and calculate the cluster movement direction of the target UAV cluster based on the cluster average speed.

[0036] In step 202a, 2, the cluster motion trajectory of the target UAV cluster is calculated based on the cluster motion direction.

[0037] Specifically, the cluster average speed is calculated based on the following formula 1: (Formula 1) in, The target UAV cluster i The speed of the drone, n is the number of drones in the target drone cluster.

[0038] For example, assume that the speed of each drone in the target drone cluster is .

[0039] Specifically, the cluster movement direction is calculated based on the following formula 2: (Formula 2) in, is the direction of the cluster average velocity vector, used to represent the cluster movement direction; and are the components of the cluster average velocity vector.

[0040] Specifically, in the above step 202, the step of calculating the cluster coverage area of the target drone cluster based on the position information of each drone may further include the following steps 202b1 and 202b2: Step 202b1: Calculate the center position of the target drone cluster based on the position information of each drone in the target drone cluster.

[0041] Step 202b2: Calculate the cluster coverage area of the target UAV cluster based on the cluster center position.

[0042] For example, the center position of the cluster can be obtained by calculating the average of all drone positions. UAVs, each UAV’s position is , then the center position of the cluster It can be calculated by the following formula three: in, The target UAV cluster i The location information of the drone, n is the number of drones in the target drone cluster.

[0043] Specifically, the cluster coverage area can be calculated based on the following formula 4: (Formula 4) in, S is the cluster coverage area, The target UAV cluster i The location information of each drone; is the center position of the cluster; n is the number of drones in the target drone cluster.

[0044] Step 203: Based on the cluster motion trajectory and the cluster coverage area, control the drones in the drone unit to carry the interception net to intercept the cluster on the moving path of the target drone cluster.

[0045] For example, after obtaining the cluster motion trajectory and cluster coverage area of the target drone cluster, a sufficient number of drones can be controlled to carry the interception net for interception.

[0046] Specifically, the above step 203 may further include the following step 203a: Step 203a: Based on the cluster coverage area of the target drone cluster, determine the coverage area of the interception net that needs to be used, and based on the coverage area of the interception net, determine the number of drones to be intercepted in the drone unit.

[0047] For example, after calculating the coverage area of the drone swarm, the number of interception nets required is calculated based on the coverage area of each interception net. The number of drones required is then calculated based on the number of drones required to tow each interception net. It should be noted that the interception area formed by the interception nets must be larger than the coverage area of the drone swarm.

[0048] For example, Figure 1 As shown, in the interception system in the embodiment of the present application, drones can be arranged in a certain manner to form an interception network that can cover the entire target drone group. In this way, attacks by drone clusters, especially saturated attacks, can be intercepted.

[0049] For example, Figure 3 As shown in the figure, when an attacking drone cluster is detected, the area and movement trajectory of the drone cluster can be calculated through its position information and speed information, and then the defense system array composed of interception nets carried by drones can be used to intercept it.

[0050] The drone cluster interception method provided in the embodiment of the present application first obtains the position information and speed information of each drone in the target drone cluster through the drone cluster detection unit; then, the cluster motion trajectory of the target drone cluster is calculated based on the position information and speed information of each drone, and the cluster coverage area of the target drone cluster is calculated based on the position information of each drone; finally, based on the cluster motion trajectory and the cluster coverage area, the drones in the drone unit are controlled to carry an interception net to intercept the cluster on the moving path of the target drone cluster. In this way, the drone cluster detection unit is used to detect the motion trajectory of the target drone cluster, and the target drone cluster is effectively intercepted by the drones carrying the interception net.

[0051] It should be noted that the drone swarm interception method provided in the embodiments of the present application can be executed by a drone swarm interception device, or a control module in the drone swarm interception device for executing the drone swarm interception method. In the embodiments of the present application, the drone swarm interception device executing the drone swarm interception method is used as an example to illustrate the drone swarm interception device provided in the embodiments of the present application.

[0052] It should be noted that in the embodiments of the present application, the drone swarm interception methods shown in the drawings of the above methods are all illustrated by way of example in conjunction with one of the drawings in the embodiments of the present application. In specific implementation, the drone swarm interception methods shown in the drawings of the above methods can also be implemented in conjunction with any other combinable drawings shown in the above embodiments, and will not be repeated here.

[0053] The drone cluster interception device provided in this application is described below, and the drone cluster interception method described below can be referenced to each other with the drone cluster interception method described above.

[0054] Figure 4 A schematic diagram of the structure of the drone cluster interception device provided in the embodiment of the present application is shown as follows: Figure 4 As shown, specifically including: An acquisition module is used to obtain the position information and speed information of each drone in the target drone cluster through the drone cluster detection unit; a calculation module is used to calculate the cluster motion trajectory of the target drone cluster based on the position information and speed information of each drone, and calculate the cluster coverage area of the target drone cluster based on the position information of each drone; a control module is used to control the drones in the drone unit to carry the interception net to intercept the cluster on the moving path of the target drone cluster based on the cluster motion trajectory and the cluster coverage area.

[0055] Optionally, the calculation module is specifically used to calculate the cluster average speed of the target drone cluster based on the speed of each drone, and calculate the cluster movement direction of the target drone cluster based on the cluster average speed; the calculation module is also specifically used to calculate the cluster movement trajectory of the target drone cluster based on the cluster movement direction.

[0056] Optionally, the cluster average speed is calculated based on the following formula: in, The target UAV cluster i The speed of the drone, n is the number of drones in the target drone cluster.

[0057] Optionally, the cluster movement direction is calculated based on the following formula: in, are the components of the cluster average velocity vector.

[0058] Optionally, the calculation module is specifically used to calculate the center position of the target drone cluster based on the position information of each drone in the target drone cluster; the calculation module is also specifically used to calculate the cluster coverage area of the target drone cluster based on the cluster center position.

[0059] Optionally, the cluster center position is calculated based on the following formula: in, The target UAV cluster i The location information of the drone, n is the number of drones in the target drone cluster.

[0060] Optionally, the cluster coverage area is calculated based on the following formula: in, S is the cluster coverage area, The target UAV cluster i The location information of each drone; is the center position of the cluster; n is the number of drones in the target drone cluster.

[0061] The drone cluster interception device provided by the present application first obtains the position information and speed information of each drone in the target drone cluster through the drone cluster detection unit; then, the cluster motion trajectory of the target drone cluster is calculated based on the position information and speed information of each drone, and the cluster coverage area of the target drone cluster is calculated based on the position information of each drone; finally, based on the cluster motion trajectory and the cluster coverage area, the drone in the drone unit is controlled to carry an interception net to intercept the cluster on the moving path of the target drone cluster. In this way, the drone cluster detection unit is used to detect the motion trajectory of the target drone cluster, and the target drone cluster is effectively intercepted by the drone carrying the interception net.

[0062] Figure 5 An example of a physical structure diagram of an electronic device is shown below. Figure 5 As shown, the electronic device may include: a processor 510, a communications interface 520, a memory 530, and a communications bus 540. The processor 510, the communications interface 520, and the memory 530 communicate with each other via the communications bus 540. The processor 510 may invoke logic instructions in the memory 530 to execute a drone swarm interception method. The method includes: first, obtaining the position and velocity information of each drone in the target drone swarm via the drone swarm detection unit; then, calculating the swarm motion trajectory of the target drone swarm based on the position and velocity information of each drone, and calculating the swarm coverage area of the target drone swarm based on the position information of each drone; finally, based on the swarm motion trajectory and swarm coverage area, controlling the drones in the drone unit to carry an interception net to intercept the target drone swarm along its moving path. In this manner, the drone swarm detection unit detects the motion trajectory of the target drone swarm, and the drones carry an interception net to effectively intercept the target drone swarm.

[0063] In addition, the logical instructions in the above-mentioned memory 530 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application, or the part that contributes to the existing technology, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program code.

[0064] On the other hand, the present application also provides a computer program product, which includes a computer program stored on a computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the drone cluster interception method provided by the above methods. The method includes: first, obtaining the position information and speed information of each drone in the target drone cluster through the drone cluster detection unit; then, calculating the cluster motion trajectory of the target drone cluster based on the position information and speed information of each drone, and calculating the cluster coverage area of the target drone cluster based on the position information of each drone; finally, based on the cluster motion trajectory and the cluster coverage area, controlling the drones in the drone unit to carry an interception net to intercept the cluster on the moving path of the target drone cluster. In this way, the drone cluster detection unit is used to detect the motion trajectory of the target drone cluster, and the target drone cluster is effectively intercepted by the drones carrying the interception net.

[0065] On the other hand, the present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the above-mentioned drone cluster interception method, the method comprising: first, obtaining the position information and speed information of each drone in the target drone cluster through the drone cluster detection unit; then, calculating the cluster motion trajectory of the target drone cluster based on the position information and speed information of each drone, and calculating the cluster coverage area of the target drone cluster based on the position information of each drone; finally, based on the cluster motion trajectory and the cluster coverage area, controlling the drones in the drone unit to carry an interception net to intercept the cluster on the moving path of the target drone cluster. In this way, the drone cluster detection unit is used to detect the motion trajectory of the target drone cluster, and the target drone cluster is effectively intercepted by the drones carrying the interception net.

[0066] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0067] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion 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, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0068] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for intercepting a drone cluster, characterized in that: Applied to a drone interception system, the system comprises: a drone cluster detection unit, and a towing drone unit containing multiple drones; The method comprises: Acquire the position and speed information of each drone in the target drone cluster through the drone cluster detection unit; Calculating the cluster motion trajectory of the target UAV cluster based on the position information and speed information of each UAV, and calculating the cluster coverage area of the target UAV cluster based on the position information of each UAV; Based on the cluster motion trajectory and the cluster coverage area, the drones in the drone unit are controlled to carry an interception net to intercept the cluster on the moving path of the target drone cluster.

2. The drone cluster interception method according to claim 1, characterized in that: The calculating of the cluster motion trajectory of the target UAV cluster based on the position information and speed information of each UAV includes: Calculating the cluster average speed of the target UAV cluster based on the speed of each UAV, and calculating the cluster movement direction of the target UAV cluster based on the cluster average speed; Based on the cluster motion direction, the cluster motion trajectory of the target UAV cluster is calculated.

3. The method for intercepting drone swarms according to claim 2, characterized in that: The cluster average speed is calculated based on the following formula: in, The target UAV cluster i The speed of the drone, n is the number of drones in the target drone cluster.

4. The method for intercepting drone swarms according to claim 2, characterized in that: The cluster movement direction is calculated based on the following formula: in, are the components of the cluster average velocity vector.

5. The method for intercepting a swarm of drones according to any one of claims 2 to 4, characterized in that: The calculating the cluster coverage area of the target drone cluster based on the position information of each drone includes: Calculate the center position of the target drone cluster based on the position information of each drone in the target drone cluster; Based on the cluster center position, calculate the cluster coverage area of the target UAV cluster.

6. The method for intercepting a swarm of drones according to claim 5, characterized in that: The cluster center position is calculated based on the following formula: in, The target UAV cluster i The location information of the drone, n is the number of drones in the target drone cluster.

7. The method for intercepting a swarm of drones according to claim 5, characterized in that: The cluster coverage area is calculated based on the following formula: in, S is the cluster coverage area, The target UAV cluster i The location information of each drone; is the center position of the cluster; n is the number of drones in the target drone cluster.

8. The method for intercepting drone swarms according to claim 1, characterized in that: The controlling the drones in the drone unit to carry the interception net to intercept the target drone cluster on its moving path based on the cluster motion trajectory and the cluster coverage area includes: Based on the cluster coverage area of the target drone cluster, the coverage area of the interception net that needs to be used is determined, and based on the coverage area of the interception net, the number of drones to be intercepted in the drone unit is determined.

9. A drone cluster interception device, characterized in that: Applied to a drone interception system, the system comprises: a drone cluster detection unit, and a towing drone unit containing multiple drones; The device comprises: An acquisition module, configured to acquire the position information and speed information of each drone in the target drone cluster through the drone cluster detection unit; A calculation module, configured to calculate the cluster motion trajectory of the target UAV cluster based on the position information and speed information of each UAV, and calculate the cluster coverage area of the target UAV cluster based on the position information of each UAV; The control module is used to control the drones in the drone unit to carry the interception net to intercept the cluster on the moving path of the target drone cluster based on the cluster movement trajectory and the cluster coverage area.

10. A drone interception system, characterized in that: include: A drone swarm detection unit, a towed drone unit containing multiple drones, and a drone control unit; The drone control unit is used to implement the steps of the drone cluster interception method as described in any one of claims 1 to 8.

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