Intelligent strategy optimization method and system for low-altitude unmanned aerial vehicle countering scene

Abstract

The invention discloses an intelligent strategy optimization method and system for a low-altitude unmanned aerial vehicle countering scene, and relates to the technical field of unmanned aerial vehicle countering strategy optimization. Comprising the steps of obtaining a deployment demand, deploying an interception unmanned aerial vehicle through a deployment mode based on the deployment demand, obtaining position data of the interception unmanned aerial vehicle, and obtaining a position information set; the method comprises the following steps: establishing a communication channel for intercepting unmanned aerial vehicles to obtain a channel set which at least comprises one channel item, and detecting the signal strength of the channel set to obtain a first signal feedback item; the method comprises the steps of obtaining a deployment demand, obtaining an effective interception range of the interception unmanned aerial vehicles, obtaining a deployment number based on a combination result of the interception range and the deployment demand, carrying out the deployment of the interception unmanned aerial vehicles, building a communication channel between the interception unmanned aerial vehicles, and adjusting the positions of the related interception unmanned aerial vehicles by detecting the signal intensity of the channel. Therefore, the stability of the countering area is ensured when the unmanned aerial vehicle support is intercepted.

Description

Technical Field

[0001] The present invention relates to the technical field of drone countermeasure strategy optimization, and in particular to an intelligent strategy optimization method and system for low-altitude drone countermeasure scenarios. Background Art

[0002] A low-altitude drone is a type of drone that can fly at a relatively low altitude and is usually used to perform specific tasks. The advantages of low-altitude drones are that they are flexible to operate, easy to deploy, and in some cases cost less than traditional manned aircraft or ground equipment. The low-altitude drone countermeasure scenario refers to a series of preventive and response measures taken against the use and flight of low-altitude drones. These measures are mainly used to protect important facilities, public safety, and prevent potential security threats. There are many methods and techniques for countering low-altitude drones, which usually need to be selected and deployed in combination with specific application scenarios.

[0003] The patent publication number is CN117423271A, which is a method for detecting and countering a drone and a detection and countering system thereof. The task processing module processes the countering tasks issued by the anti-drone verification and cluster countering teaching system, receives the tasks from the task processing module in the equipment management module, manages and controls the countering equipment according to the requirements of the tasks, and feeds back the working status of the countering equipment to the data fusion and display module and the situation display module. The situation display module receives feedback data from the task processing module, the data fusion and display module and the duty strategy module, fuses the feedback data, generates three-dimensional situation information, presents the current simulation scene, feeds back the real-time situation to the anti-drone verification and cluster countering teaching system, feeds back the strategy action to the situation display module, and feeds back the simulation result to the anti-drone verification and cluster countering teaching system, thereby solving the problem of how to improve the accuracy and efficiency of drone detection and countering while reducing the impact on other users and public safety.

[0004] When the above and similar technical solutions are deployed to counter low-altitude drones, the actions of the intercepting drones need to be commanded by the ground. When the signal environment at the location of the intercepting drone is poor or the signal is strongly affected, it will affect the normal communication between the target intercepting drone and the ground command, and thus cause the target intercepting drone to be unable to receive smoothly or to complete the countermeasure mission normally. Therefore, it is necessary to optimize the action mode of the intercepting drone according to the actual situation of the target intercepting drone, and when the intercepting drone performs a countermeasure mission, due to the limited number of intercepting drones, each intercepting drone will be responsible for different countermeasure areas. When the work of some intercepting drones is affected by the natural environment or non-natural environment and requires support from the remaining intercepting drones, countermeasure loopholes may appear in the countermeasure areas between the intercepting drones, which will result in the countermeasure effect not being optimal. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent strategy optimization method and system for low-altitude UAV counter-attack scenarios to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: an intelligent strategy optimization method for low-altitude UAV countermeasure scenario, comprising:

[0007] Obtain deployment requirements, deploy the interception drone through the deployment method based on the deployment requirements, obtain the location data of the interception drone, and obtain a location information set;

[0008] Establishing a communication path between intercepting UAVs to obtain a path set, the path set including at least one path item, detecting the signal strength of the path set to obtain a first signal feedback item;

[0009] Based on the first signal feedback item, the position of the intercepted UAV is adjusted by an adjustment method to ensure the stability of the countermeasure area when the intercepted UAV is supported;

[0010] The position of the intercepted UAV is adjusted through processing methods, and the action path of the intercepted UAV is automatically optimized;

[0011] The processing method comprises:

[0012] Step 1: strength acquisition, obtaining the signal connection strength information between the intercepted UAV and the ground command, obtaining a signal strength set, the signal strength set includes at least a signal strength item at a moment, setting a fluctuation limit value, judging whether the signal strength item exceeds the fluctuation limit value, and when the signal strength item exceeds the fluctuation limit value, judging the signal strength item exceeding the fluctuation limit value as the first target point, and obtaining the first target set;

[0013] Step 2: Position acquisition, obtaining the position information of the intercepted UAV, obtaining a transmission position set, the transmission position set at least includes a transmission position item at a time, obtaining a predetermined path of the intercepted UAV, comparing the predetermined path with the transmission position set, determining the point where there is a difference between the predetermined path and the transmission position set as the second target point, and obtaining a second target set;

[0014] Step 3: Comprehensively judge whether the first target set and the second target set overlap. When the first target set and the second target set overlap, the overlapping part is determined as a judgment target item, and the transmission position corresponding to the judgment target item is obtained to obtain a judgment position item;

[0015] Step 4: Path generation, using the determined position item as the search starting point, the end point of the established path as the search end point, setting the search range, using the search starting point as the first feature point, searching for the target point within the search range of the first feature point as a repeated feature point, repeating the search, and generating an optimized path.

[0016] Furthermore, the method for acquiring the signal strength set includes:

[0017] A transmission interval is set, and a transmission time set is obtained based on the transmission interval, where the transmission time set includes at least one transmission time item;

[0018] Based on the transmission time set, the ground command sends signal transmission data to the target intercepting UAV, obtains the signal strength data received by the target intercepting UAV, and obtains the signal strength set.

[0019] Furthermore, the intercepting drone stores basic information, and the method for setting the fluctuation limit value includes:

[0020] Based on the basic information, the model data of the intercepted UAV is obtained to obtain the model data item, the model data item includes the effective range of the signal, and the target range item is obtained;

[0021] Based on the target range item, the first fluctuation value and the second fluctuation value are set to determine whether the ground command is within the target range item of the target interception UAV. When the ground command is within the target range item of the target interception UAV, the combination result of the first fluctuation value and the signal transmission data is the fluctuation limit value. When the ground command is not within the target range item of the target interception UAV, the combination result of the second fluctuation value and the signal transmission data is the fluctuation limit value.

[0022] Furthermore, the method for acquiring the second target set includes:

[0023] Based on the transmission time set, the location information of the UAV is obtained, the transmission location set is obtained, the action connection line of the intercepted UAV is obtained, and the real-time path item is obtained;

[0024] Based on the established path, the starting positions of the real-time path item and the established path are set as comparison feature points, the comparison feature points are overlapped, and the real-time path item is compared with the established path;

[0025] The non-overlapping area between the marked real-time path item and the predetermined path is obtained through the target device to obtain a second target set.

[0026] Furthermore, the method for setting the search range includes:

[0027] Set the target search path based on the search starting point and search end point;

[0028] The cutting value is set, and the target value is obtained based on the combination result of the target search path and the cutting value. The target value is used as the target radius to obtain the search range.

[0029] Furthermore, the method for generating the optimized path includes:

[0030] The signal strength data of the target intercepting UAV receiving the transmission request within the search range of the first feature point is obtained, which does not exceed the fluctuation limit value and is the position data closest to the search end point, as a repeated feature point, and the signal strength data of the target intercepting UAV receiving the transmission request within the search range of the repeated feature point is obtained, which does not exceed the fluctuation limit value and is the position data closest to the search end point, and is used as a repeated feature point again, and the steps are repeated to obtain the optimized path.

[0031] Furthermore, the deployment requirements include area requirements, and the deployment methods include:

[0032] Obtain the effective interception range of the intercepted UAV, obtain the interception range item, and obtain the deployment quantity item based on the combination result of the interception range item and the deployment requirement;

[0033] Deploy interception drones based on the deployment quantity item and the interception range item.

[0034] Furthermore, the method for obtaining the first signal feedback item includes: based on the path set, the intercepting drones send detection signal streams to each other, obtain the signal strength of the detection signal stream, the intercepting drones receive the detection signal stream, obtain feedback data, and then obtain the first signal feedback item.

[0035] Furthermore, the adjustment method includes: sorting the signal strength based on the first signal feedback item to obtain a signal sorting item, adjusting the position of the intercepted drone based on the signal sorting item and the position information set, setting the adjustment direction and adjusting the distance sorting, the adjustment direction is the direction of the intercepted drone in the position information set, and the distance sorting is adjusted to the reverse sorting result of the signal sorting item, so that the first signal feedback item remains the same.

[0036] Furthermore, an intelligent strategy optimization system for low-altitude UAV countermeasure scenario uses the above-mentioned intelligent strategy optimization method for low-altitude UAV countermeasure scenario, including:

[0037] Deployment module: deploys interception drones based on deployment requirements, obtains location data of interception drones, obtains location information sets, establishes communication paths between interception drones, obtains path sets, the path sets include at least one path item, detects signal strength of the path sets, and obtains a first signal feedback item;

[0038] The first adjustment module: based on the first signal feedback item, adjusts the position of the intercepted UAV to ensure the stability of the countermeasure area when the intercepted UAV is supporting;

[0039] Data evaluation module: obtain the signal connection strength information between the intercepted UAV and the ground command, set the fluctuation limit value, determine whether the signal strength item exceeds the fluctuation limit value, and when the signal strength item exceeds the fluctuation limit value, determine the signal strength item exceeding the fluctuation limit value as the first target point to obtain the first target set, obtain the position information of the intercepted UAV, obtain the transmission position set, obtain the established path of the intercepted UAV, compare the established path and the transmission position set, determine the point where there is a difference between the established path and the transmission position set as the second target point, and obtain the second target set;

[0040] Data judgment module: judge whether the first target set and the second target set overlap. When the first target set and the second target set overlap, the overlapping part is judged as a judgment target item, and the transmission position corresponding to the judgment target item is obtained to obtain a judgment position item;

[0041] The second adjustment module: take the determined position item as the search starting point, take the end point of the established path as the search end point, set the search range, take the search starting point as the first feature point, search for the target point within the search range of the first feature point as a repeated feature point, repeat the search, and generate an optimized path.

[0042] Compared with the prior art, the present invention has the following beneficial effects:

[0043] The intelligent strategy optimization method and system for the low-altitude UAV countermeasure scenario obtains the deployment requirements and the effective interception range of the interception UAV, obtains the deployment quantity based on the combination of the interception range and the deployment requirements, deploys the interception UAVs, and establishes a communication path between the interception UAVs. By detecting the signal strength of the path, the position of the relevant interception UAVs is adjusted, thereby ensuring the stability of the countermeasure area when the interception UAV is supporting.

[0044] At the same time, by obtaining the signal connection strength information between the intercepted UAV and the ground command, it is determined whether the signal strength exceeds the fluctuation limit value. When the signal strength exceeds the fluctuation limit value, the signal strength item exceeding the fluctuation limit value is determined as the first target point, the position information of the intercepted UAV is obtained, the established path of the intercepted UAV is obtained, and the established path is compared. The points with differences are determined as the second target points, and it is comprehensively determined whether the first target point and the second target point overlap. When the first target point and the second target point overlap, the overlapping point is set as the search starting point, and the path of the intercepted UAV is regenerated, thereby achieving the effect of automatically optimizing the action path of the intercepted UAV. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a schematic diagram of the overall process of the present invention;

[0046] Figure 2 It is a schematic diagram of a pathway item of the present invention;

[0047] Figure 3 It is a schematic diagram of adjusting the drone of the present invention;

[0048] Figure 4 is a schematic diagram of a second target point of the present invention;

[0049] Figure 5 It is a schematic diagram of the positions of the first repeated feature point and the second repeated feature point of the present invention. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] Deploying interceptor drones to counter low-altitude drones is a conventional means of countering low-altitude drones. The effectiveness of interceptor drones depends largely on their communication capabilities with the ground command center. When the interceptor drone is in an area with a poor signal environment, or when its communication signal is strongly interfered with, the target interceptor drone often encounters the dilemma of poor or interrupted information transmission, which not only affects the interceptor drone's ability to receive instructions, but also restricts its flexibility and accuracy in performing countermeasure tasks. For example, in cities or complex terrains, due to the influence of natural obstacles such as buildings and trees, signal propagation may be severely restricted, resulting in delays or deviations in the actions of interceptor drones, making it difficult to effectively achieve the purpose of countermeasures. Therefore, it is particularly important to optimize the action mode of interceptor drones. Flexible and changeable operation strategies should be formulated for different combat environments. Secondly, when deploying multiple interceptor drones to form regional defense, it is necessary to clarify the countermeasure area that each interceptor drone is responsible for. Since the number of interceptor drones is usually limited, the reasonable division of countermeasure areas is the key to improving the overall defense effect. However, in actual operations, some interceptor drones may be restricted in their work due to the environment or other factors, and other interceptor drones may be required to provide support. At this time, if there is a lack of a good regional coordination and information sharing mechanism, it may lead to gaps or loopholes in the countermeasure area, thereby affecting the overall countermeasure effect. The technical solution provided by the present application, in the process of intercepting drone operations, verifies the signal connection strength between the target intercepting drone and the ground command through a verification method, and automatically adjusts the position of the target intercepting drone, thereby providing an automatic optimization effect for the action path of the target intercepting drone, and at the same time establishes a communication path between the intercepting drones to obtain a path set, the path set includes at least one path item, the intercepting drones send detection signal streams to each other, and obtain the signal strength of the detection signal stream, and adjust the position of the intercepting drone through an adjustment method, so that the signal strength of the monitoring signal stream of the path set is always consistent, thereby achieving the effect of ensuring the stability of the countermeasure area while supporting the intercepting drone. Specifically, in the present application, steps S100-S400 are included.

[0052] Step S100: Obtain deployment requirements, deploy the intercepting drone through a deployment method based on the deployment requirements, and obtain location data of the intercepting drone.

[0053] It should be noted that the deployment requirements include area requirements, and the deployment methods include: obtaining the effective interception range of the interception drone, obtaining the interception range item, and obtaining the deployment quantity item based on the combination of the interception range item and the deployment requirements; and deploying the interception drone based on the deployment quantity item and the interception range item.

[0054] In the specific implementation process, the DJI Matrice 600 Pro drone is equipped with a dedicated anti-drone module, which intercepts target drones by interfering with GPS and radio signals. At this time, its effective interception range is 1km, that is, the interception range item is 1km, and the deployment requirement is a target area with a length of 5km. At this time, the deployment requirement is 5km. Based on the combination of the interception range item and the deployment requirement, the deployment quantity item is 5. At the same time, based on the deployment quantity item and the interception range item, the interception drones are deployed, that is, the interception drones are arranged in a line with a spacing of 1km, and are deployed to intercept the target area.

[0055] Step S200: Establish a communication path between intercepting drones, obtain a path set, detect the signal strength of the path set, and obtain a first signal feedback item.

[0056] It should be noted that the method for obtaining the first signal feedback item includes: based on the path set, the intercepting drones send detection signal streams to each other, obtain the signal strength of the detection signal stream, the intercepting drones receive the detection signal stream, obtain feedback data, and then obtain the first signal feedback item.

[0057] In the specific implementation process, Figure 2 As shown, drone A, drone B and drone C are arranged in a straight line and establish a communication path. At this time, there are two path items, namely the path between drone A and drone B and the path between drone B and drone C. At this time, drone A, drone B and drone C send detection signal streams to each other and measure RSSI values. The signal strength of the obtained detection signal stream is -70dBm, that is, drone B sends detection signal streams to drone A and drone C respectively, and feedback data is obtained according to the detection signal streams received by drone A and drone C.

[0058] Step S300: Based on the first signal feedback item, the position of the intercepted UAV is adjusted by an adjustment method.

[0059] It should be noted that the adjustment method includes: sorting the signal strength based on the first signal feedback item to obtain a signal sorting item, adjusting the position of the intercepted UAV based on the signal sorting item and the position information set, setting the adjustment direction and adjusting the distance sorting, the adjustment direction is the direction of the intercepted UAV in the position information set, and the distance sorting is adjusted to the reverse sorting result of the signal sorting item, so that the first signal feedback item remains the same.

[0060] In the specific implementation process, Figure 3As shown, drone A, drone B and drone C are arranged in a discounted shape and establish a communication path. The signal strength of the detection signal flow is -70dBm. Drone B sends detection signal flows to drone A and drone C respectively. The signal strength of the detection signal flow received by drone A is -80dBm, and the signal strength of the detection signal flow received by drone C is -70dBm. At this time, the signal strengths are sorted, and the obtained signal sorting item drone C>drone A. Since the adjustment direction is the direction of the drone intercepted by the location information concentration, the distance sorting is adjusted to the reverse sorting result of the signal sorting item, so that the first signal feedback item remains the same, that is, the distance sorting is adjusted to drone A>drone C, and the adjustment direction is the direction of drone A, that is, drone B moves towards the direction of drone A, so that the signal strength of the detection signal flow received by drone A is consistent with the signal strength of the detection signal flow received by drone C.

[0061] Step S400: adjusting the position of the intercepted UAV through a processing method, and automatically optimizing the action path of the intercepted UAV.

[0062] It should be noted that in the process of intercepting a drone flying to a designated area, the position of the intercepting drone needs to be adjusted according to actual conditions to optimize the action path of the intercepting drone.

[0063] Specifically, the processing method includes steps S4001 to S4004.

[0064] Step S4001: Obtain the signal connection strength information between the intercepted UAV and the ground command, obtain a signal strength set, set a fluctuation limit value, and determine whether the signal strength item exceeds the fluctuation limit value. When the signal strength item exceeds the fluctuation limit value, the signal strength item exceeding the fluctuation limit value is determined as the first target point to obtain the first target set.

[0065] It should be noted that the method for obtaining the signal strength set includes: setting a transmission interval, the transmission interval is 1s, and based on the transmission interval, obtaining a transmission time set, the transmission time set is composed of 1s, 2s, 3s, etc., and the transmission time set includes at least one transmission time item; based on the transmission time set, the ground command sends signal transmission data to the target interception UAV, obtains the signal strength data received by the target interception UAV, and obtains the signal strength set.

[0066] In the specific implementation process, when an intercepting UAV is performing an interception mission, the ground commander continuously sends signal transmission data to the intercepting UAV at a transmission interval of 1s. The strength of the signal transmission data is -70dBm. At this time, the signal strength data received by the target intercepting UAV is obtained. In the cases of 1s, 2s, and 3s, the signal strength data are -70dBm, -70dBm, and -69dBm, respectively. At this time, the signal strength set is composed of the signal strength data received by the target intercepting UAV at different transmission times.

[0067] It should be noted that basic information is stored on the intercepting UAV, and the method for setting the fluctuation limit value includes: based on the basic information, obtaining the model data of the intercepting UAV to obtain the model data item, the model data item includes the signal effective range, and obtaining the target range item, that is, the signal effective range of different models of intercepting UAVs is different; based on the target range item, setting the first fluctuation value and the second fluctuation value, the first fluctuation value and the second fluctuation value are ±10% and ±20% respectively, to determine whether the ground command is within the target range item of the target intercepting UAV, when the ground command is within the target range item of the target intercepting UAV, the combination result of the first fluctuation value and the signal transmission data is the fluctuation limit value, when the ground command is not within the target range item of the target intercepting UAV, the combination result of the second fluctuation value and the signal transmission data is the fluctuation limit value.

[0068] In the specific implementation process, the basic information stored on the intercepted drone is obtained as DJI Mavic 2 Pro, and its signal effective range is 8km, that is, the target range item is 8km. During the execution of the mission by the intercepted drone, the signal connection with the ground command is always maintained. When the ground command exceeds the effective signal range with the intercepted drone, the signal connection between the intercepted drone and the ground command is completed by the relay station. At this time, the quality of the signal connection will be relatively poor. The signal transmission data strength sent by the ground command to the intercepted drone is -70dBm. At this time, it is judged whether the ground command is within the target range item of the target intercepted drone. When the ground command is within the target range item of the target intercepted drone, the combination of the first fluctuation value and the signal transmission data If it is the fluctuation limit value, that is, the fluctuation limit value at this time is -77dBm to -63dBm. When the ground command is not in the target range item of the target intercepting UAV, the combination result of the second fluctuation value and the signal transmission data is the fluctuation limit value. At this time, the fluctuation limit value is -84dBm to -56dBm. It is obtained that the ground command is in the effective signal range of the intercepting UAV. At the same time, the signal strength sets obtained are -70dBm, -70dBm, -69dBm, -78dBm, -70dBm, and -62dBm respectively. That is, the signal strength item exceeds the fluctuation limit value at the 4th and 6th seconds, and the first target point is 4s and 6s.

[0069] Step S4002: Obtain the location information of the intercepted UAV, obtain the transmission location set, obtain the predetermined path of the intercepted UAV, compare the predetermined path and the transmission location set, determine the point where there is a difference between the predetermined path and the transmission location set as the second target point, and obtain the second target set.

[0070] It should be noted that the method for acquiring the second target set includes: based on the transmission time set, acquiring the location information of the UAV, obtaining the transmission location set, acquiring the path connection line of the intercepted UAV, and obtaining the real-time path item; based on the established path, setting the starting position of the real-time path item and the established path as comparison feature points, overlapping the comparison feature points, and comparing the real-time path item with the established path; obtaining the non-overlapping area of ​​the marked real-time path item and the established path through the target device to obtain the second target set, and the target device is a high-definition camera component.

[0071] In the specific implementation process, Figure 4 As shown, when the path connection line of the target intercepting UAV under the transmission time set is compared with the predetermined path, there is no overlap at 4s and 5s, and the second target point is 4s and 5s at this time.

[0072] Step S4003: Determine whether the first target set and the second target set overlap. When the first target set and the second target set overlap, determine the overlapping part as a judgment target item, obtain the transmission position corresponding to the judgment target item, and obtain the judgment position item.

[0073] In the specific implementation process, it is obtained that the ground command is within the effective signal range of the intercepting drone, and the signal strength sets are -70dBm, -70dBm, -69dBm, -78dBm, -70dBm, and -62dBm respectively. That is, the signal strength items exceed the fluctuation limit values ​​at the 4th and 6th seconds. The first target points are 4s and 6s. At the same time, when the travel path connection line of the target intercepting drone under the transmission time set is compared with the established path, there is no overlap at 4s and 5s. At this time, the second target points are 4s and 5s. At this time, there is overlap between the first target set and the second target set, and the overlapping part is 4s. At this time, the position item is judged to be 4s.

[0074] Step S4004: Use the determined position item as the search starting point, the end point of the established path as the search end point, set the search range, use the search starting point as the first feature point, search for the target point within the search range of the first feature point as a repeated feature point, repeat the search, and generate an optimized path.

[0075] It should be noted that the method for setting the search range includes: setting the target search path based on the search start point and the search end point; setting the cutting value, the cutting value is 10%, and obtaining the target value based on the combination of the target search path and the cutting value, and using the target value as the target radius to obtain the search range.

[0076] In the specific implementation process, the length of the target search path is 1 km. At this time, according to the set cutting value, the target value is 100 m. The target value is used as the target radius to obtain the search range.

[0077] It should be noted that the method for generating the optimized path includes: obtaining the signal strength data of the target intercepting drone receiving the transmission request within the search range of the first feature point, which does not exceed the fluctuation limit value and is the position data closest to the search end point, as a repeated feature point, and obtaining the signal strength data of the target intercepting drone receiving the transmission request within the search range of the repeated feature point, which does not exceed the fluctuation limit value and is the position data closest to the search end point, again as a repeated feature point, repeating the steps to obtain the optimized path.

[0078] In the specific implementation process, a circular area with a search range of 100m in radius is obtained. The overlapping part between the first target set and the second target set is 4s, and the position item is judged to be 4s, that is, the position at 4s is used as the search starting point, and the signal strength data of the transmission request received by the search target interception UAV is between -77dBm and -63dBm and the position data closest to the search end point is used as a repeated feature point to obtain the first repeated feature point, and then the first repeated feature point is used as the search starting point, and the signal strength data of the transmission request received by the search target interception UAV is between -77dBm and -63dBm and the position data closest to the search end point is used as a repeated feature point to obtain the second repeated feature point, and so on, until the target interception UAV reaches the search end point and the optimized path is obtained.

[0079] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is limited by the attached embodiments and their equivalents.

Claims

1. An intelligent strategy optimization method for low-altitude drone countermeasure scenarios, characterized in that: include: Obtain deployment requirements, deploy the interception drone through the deployment method based on the deployment requirements, obtain the location data of the interception drone, and obtain a location information set; Establishing a communication path between intercepting UAVs to obtain a path set, the path set including at least one path item, detecting the signal strength of the path set to obtain a first signal feedback item; Based on the first signal feedback item, the position of the intercepted UAV is adjusted by an adjustment method to ensure the stability of the countermeasure area when the intercepted UAV is supported; The position of the intercepted UAV is adjusted through processing methods, and the action path of the intercepted UAV is automatically optimized; The processing method comprises: Step 1: strength acquisition, obtaining the signal connection strength information between the intercepted UAV and the ground command, obtaining a signal strength set, the signal strength set includes at least a signal strength item at a moment, setting a fluctuation limit value, judging whether the signal strength item exceeds the fluctuation limit value, and when the signal strength item exceeds the fluctuation limit value, judging the signal strength item exceeding the fluctuation limit value as the first target point, and obtaining the first target set; Step 2: Position acquisition, obtaining the position information of the intercepted UAV, obtaining a transmission position set, the transmission position set at least includes a transmission position item at a time, obtaining a predetermined path of the intercepted UAV, comparing the predetermined path with the transmission position set, determining the point where there is a difference between the predetermined path and the transmission position set as the second target point, and obtaining a second target set; Step 3: Comprehensively judge whether the first target set and the second target set overlap. When the first target set and the second target set overlap, the overlapping part is determined as a judgment target item, and the transmission position corresponding to the judgment target item is obtained to obtain a judgment position item; Step 4: Path generation, using the determined position item as the search starting point, the end point of the established path as the search end point, setting the search range, using the search starting point as the first feature point, searching for the target point within the search range of the first feature point as a repeated feature point, repeating the search, and generating an optimized path.

2. According to claim 1, the intelligent strategy optimization method for low-altitude drone countermeasure scenarios is characterized by: The method for acquiring the signal strength set includes: A transmission interval is set, and a transmission time set is obtained based on the transmission interval, where the transmission time set includes at least one transmission time item; Based on the transmission time set, the ground command sends signal transmission data to the target intercepting UAV, obtains the signal strength data received by the target intercepting UAV, and obtains the signal strength set.

3. According to claim 2, the intelligent strategy optimization method for low-altitude drone countermeasure scenarios is characterized by: The intercepting drone stores basic information, and the method for setting the fluctuation limit value includes: Based on the basic information, the model data of the intercepted UAV is obtained to obtain the model data item, the model data item includes the effective range of the signal, and the target range item is obtained; Based on the target range item, the first fluctuation value and the second fluctuation value are set to determine whether the ground command is within the target range item of the target interception UAV. When the ground command is within the target range item of the target interception UAV, the combination result of the first fluctuation value and the signal transmission data is the fluctuation limit value. When the ground command is not within the target range item of the target interception UAV, the combination result of the second fluctuation value and the signal transmission data is the fluctuation limit value.

4. According to claim 2, the intelligent strategy optimization method for low-altitude UAV countermeasure scenario is characterized by: The method for acquiring the second target set includes: Based on the transmission time set, the location information of the UAV is obtained, the transmission location set is obtained, the action connection line of the intercepted UAV is obtained, and the real-time path item is obtained; Based on the established path, the starting positions of the real-time path item and the established path are set as comparison feature points, the comparison feature points are overlapped, and the real-time path item is compared with the established path; The non-overlapping area between the marked real-time path item and the predetermined path is obtained through the target device to obtain a second target set.

5. According to claim 1, the intelligent strategy optimization method for low-altitude drone countermeasure scenarios is characterized by: The method for setting the search range includes: Set the target search path based on the search starting point and search end point; The cutting value is set, and the target value is obtained based on the combination result of the target search path and the cutting value. The target value is used as the target radius to obtain the search range.

6. The intelligent strategy optimization method for low-altitude UAV countermeasure scenario according to claim 1 is characterized by: The method for generating the optimized path comprises: The signal strength data of the target intercepting UAV receiving the transmission request within the search range of the first feature point is obtained, which does not exceed the fluctuation limit value and is the position data closest to the search end point, as a repeated feature point, and the signal strength data of the target intercepting UAV receiving the transmission request within the search range of the repeated feature point is obtained, which does not exceed the fluctuation limit value and is the position data closest to the search end point, and is used as a repeated feature point again, and the steps are repeated to obtain the optimized path.

7. The intelligent strategy optimization method for low-altitude UAV countermeasure scenario according to claim 1 is characterized by: The deployment requirements include area requirements, and the deployment methods include: Obtain the effective interception range of the intercepted UAV, obtain the interception range item, and obtain the deployment quantity item based on the combination result of the interception range item and the deployment requirement; Deploy interception drones based on the deployment quantity item and the interception range item.

8. The intelligent strategy optimization method for low-altitude UAV countermeasure scenario according to claim 1 is characterized by: The method for obtaining the first signal feedback item includes: based on the path set, the intercepting drones send detection signal streams to each other, obtain the signal strength of the detection signal stream, the intercepting drones receive the detection signal stream, obtain feedback data, and then obtain the first signal feedback item.

9. The intelligent strategy optimization method for low-altitude UAV countermeasure scenario according to claim 1 is characterized by: The adjustment method includes: sorting the signal strength based on the first signal feedback item to obtain a signal sorting item, adjusting the position of the intercepted drone based on the signal sorting item and the position information set, setting an adjustment direction and adjusting the distance sorting, the adjustment direction is the direction of the intercepted drone in the position information set, and the distance sorting is adjusted to the reverse sorting result of the signal sorting item, so that the first signal feedback item remains the same.

10. An intelligent strategy optimization system for low-altitude drone countermeasure scenarios, characterized by: An intelligent strategy optimization method for a low-altitude drone countermeasure scenario using any one of claims 1 to 9 comprises: Deployment module: deploys interception drones based on deployment requirements, obtains location data of interception drones, obtains location information sets, establishes communication paths between interception drones, obtains path sets, the path sets include at least one path item, detects signal strength of the path sets, and obtains a first signal feedback item; The first adjustment module: based on the first signal feedback item, adjusts the position of the intercepted UAV to ensure the stability of the countermeasure area when the intercepted UAV is supporting; Data evaluation module: obtain the signal connection strength information between the intercepted UAV and the ground command, set the fluctuation limit value, determine whether the signal strength item exceeds the fluctuation limit value, and when the signal strength item exceeds the fluctuation limit value, determine the signal strength item exceeding the fluctuation limit value as the first target point to obtain the first target set, obtain the position information of the intercepted UAV, obtain the transmission position set, obtain the established path of the intercepted UAV, compare the established path and the transmission position set, determine the point where there is a difference between the established path and the transmission position set as the second target point, and obtain the second target set; Data judgment module: judge whether the first target set and the second target set overlap. When the first target set and the second target set overlap, the overlapping part is judged as a judgment target item, and the transmission position corresponding to the judgment target item is obtained to obtain a judgment position item; The second adjustment module: take the determined position item as the search starting point, take the end point of the established path as the search end point, set the search range, take the search starting point as the first feature point, search for the target point within the search range of the first feature point as a repeated feature point, repeat the search, and generate an optimized path.

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