An intelligent strategy optimization method and system for a low-altitude unmanned aerial vehicle countermeasure scene

Abstract

The application discloses a kind of low-altitude unmanned aerial vehicle countermeasure scene intelligent strategy optimization method and system, it is related to unmanned aerial vehicle countermeasure strategy optimization technical field. Including: obtaining deployment requirement, intercepting unmanned aerial vehicle is deployed by deployment mode based on deployment requirement, obtains the position data of intercepting unmanned aerial vehicle, obtains position information set;Establish the communication path between intercepting unmanned aerial vehicle, obtain path set, path set at least includes one path item, detect the signal strength of path set, obtain first signal feedback item.The present application obtains deployment requirement, obtains the effective interception range of intercepting unmanned aerial vehicle, obtains deployment quantity based on the combination result of interception range and deployment requirement, carries out the deployment of intercepting unmanned aerial vehicle, and establishes the communication path between intercepting unmanned aerial vehicle, adjusts the position of relevant intercepting unmanned aerial vehicle by detecting the signal strength of path, to ensure the stability of countermeasure area when intercepting unmanned aerial vehicle supports.

Description

Technical Field

[0001] This invention relates to the field of drone countermeasure strategy optimization technology, specifically to an intelligent strategy optimization method and system for low-altitude drone countermeasure scenarios. Background Technology

[0002] Low-altitude drones are unmanned aerial vehicles (UAVs) that can fly at relatively low altitudes and are typically used to perform specific tasks. The advantages of low-altitude drones are their flexibility in operation, ease of deployment, and, in some cases, lower cost than traditional manned aircraft or ground equipment. Low-altitude drone countermeasures refer to a series of preventative and countermeasure 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. Furthermore, there are various methods and technologies for countering low-altitude drones, which usually need to be selected and deployed in conjunction with specific application scenarios.

[0003] A method and system for detecting and countering unmanned aerial vehicles (UAVs) with patent publication number CN117423271A is disclosed. The method involves processing countermeasure tasks issued by an anti-UAV verification and swarm countermeasure teaching system in a task processing module, receiving tasks from the task processing module in an equipment management module, managing and controlling countermeasure equipment according to task requirements, and feeding back the working status of the countermeasure equipment to a data fusion and display module and a situation display module. The situation display module receives feedback data from the task processing module, data fusion and display module, and monitoring strategy module, fuses and processes the feedback data to generate three-dimensional situation information, presents the current simulation scene, feeds back the real-time situation to the anti-UAV verification and swarm countermeasure teaching system, feeds back strategy actions to the situation display module, and feeds back simulation results to the anti-UAV verification and swarm countermeasure teaching system. This method solves the problem of how to improve the accuracy and efficiency of UAV detection and countermeasure while reducing the impact on other users and public safety.

[0004] When deploying interceptor drones to counter low-altitude drones, the aforementioned and similar technical solutions face challenges. Since the interceptor drones' actions require ground control, poor signal conditions or strong interference can disrupt normal communication between the target drone and ground command, preventing the target drone from receiving signals or completing its countermeasures mission. Therefore, it's necessary to optimize the interceptor drone's actions based on the specific circumstances of the target drone. Furthermore, due to the limited number of interceptor drones, each drone is responsible for a different countermeasure area. When some interceptor drones are affected by natural or non-natural environmental factors and require support from others, countermeasure loopholes may appear between the drones, hindering optimal countermeasure effectiveness. Summary of the Invention

[0005] The purpose of this invention is to provide an intelligent strategy optimization method and system for low-altitude unmanned aerial vehicle (UAV) countermeasure scenarios, so as to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an intelligent strategy optimization method for low-altitude unmanned aerial vehicle (UAV) countermeasure scenarios, comprising:

[0007] Obtain deployment requirements, deploy interceptor drones based on deployment requirements, obtain location data of the interceptor drones, and obtain a set of location information.

[0008] Establish communication paths between intercepting drones to obtain a path set, which includes at least one path item. Detect the signal strength of the path set to obtain the first signal feedback item.

[0009] Based on the first signal feedback, the position of the intercepting drone is adjusted by adjusting the method to ensure the stability of the countermeasures area when the intercepting drone is supported;

[0010] By adjusting the position of the intercepting drone through processing methods, the movement path of the intercepting drone can be automatically optimized.

[0011] The processing method includes:

[0012] Step 1: Strength Acquisition. Acquire the signal connection strength information between the intercepting drone and the ground command to obtain a signal strength set. The signal strength set includes at least one signal strength item at a given moment. 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 that exceeds the fluctuation limit value is determined as the first target point, and the first target set is obtained.

[0013] Step 2: Location acquisition. Obtain the location information of the intercepting drone and obtain the transmission location set. The transmission location set includes at least one transmission location item at a given moment. Obtain the predetermined path of the intercepting drone. Compare the predetermined path with the transmission location set. Identify the points where the predetermined path differs from the transmission location set as the second target points and obtain the second target set.

[0014] Step 3: Comprehensive judgment. Determine whether the first target set and the second target set overlap. If the first target set and the second target set overlap, the overlapping part is determined as the judgment target item, and the transmission position corresponding to the judgment target item is obtained to obtain the judgment position item.

[0015] Step 4: Path generation. The search starts with the determined location item and ends with the predetermined path. The search range is set, and the target points within the search range of the search start point are used as repeated feature points. The search is repeated to generate an optimized path.

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

[0017] Set a transmission interval, and based on the transmission interval, obtain a transmission time set, which 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 drone, obtains the signal strength data received by the target intercepting drone, and obtains the signal strength set.

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

[0020] Based on the basic information, obtain the model data of the intercepting drone to get the model data item. The model data item includes the effective signal range, and the target range item is obtained.

[0021] Based on the target range item, a first fluctuation value and a second fluctuation value are set to determine whether the ground command is within the target range item of the target intercepting drone. When the ground command is within the target range item of the target intercepting drone, 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 drone, the combination result of the second fluctuation value and the signal transmission data is the fluctuation limit value.

[0022] Furthermore, the method for obtaining 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 path connection 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. When the comparison feature points coincide, the real-time path item is compared with the established path.

[0025] The second target set is obtained by acquiring the non-overlapping areas between the real-time path items marked by the target device and the predetermined path.

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

[0027] Set the target search path based on the search start and search end points;

[0028] Set a cutting value, and obtain the target value based on the combination of the target search path and the cutting value. Use the target value 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 drone receiving the transmission request within the search range of the first feature point does not exceed the fluctuation limit value and the location data closest to the search endpoint is obtained as a repeat feature point. Then, the signal strength data of the target intercepting drone receiving the transmission request within the search range of the repeat feature point does not exceed the fluctuation limit value and the location data closest to the search endpoint is obtained as a repeat feature point again. 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 drone to obtain the interception range item. Based on the combination of the interception range item and the deployment requirements, obtain the deployment quantity item.

[0033] The deployment of interceptor drones is based on the number of deployments and the interception range.

[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 streams, the intercepting drones receive the detection signal streams, 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 intercepting drone based on the signal sorting item and the location information set; setting the adjustment direction and the adjustment distance sort; the adjustment direction is the direction of the intercepting drone in the location information set; and the adjustment distance sort is 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 scenarios utilizes the aforementioned intelligent strategy optimization method for low-altitude UAV countermeasure scenarios, including:

[0037] Deployment module: Deploys interceptor drones based on deployment requirements, acquires the location data of the interceptor drones to obtain a location information set, establishes communication paths between the interceptor drones to obtain a path set, the path set includes at least one path item, detects the signal strength of the path set to obtain the first signal feedback item;

[0038] First adjustment module: Based on the first signal feedback item, adjust the position of the intercepting drone to ensure the stability of the countermeasures area when the intercepting drone is supported;

[0039] Data evaluation module: acquires signal connection strength information between the intercepting drone and ground command, sets fluctuation limit values, determines whether the signal strength item exceeds the fluctuation limit value, and 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, thus obtaining the first target set; acquires the position information of the intercepting drone, thus obtaining the transmission position set; acquires the predetermined path of the intercepting drone, compares the predetermined path with the transmission position set, and determines the points where the predetermined path and the transmission position set differ as the second target points, thus obtaining the second target set;

[0040] Data Judgment Module: Determines 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 the judgment target item, the transmission position corresponding to the judgment target item is obtained, and the judgment position item is obtained.

[0041] The second adjustment module uses the determined location item as the search starting point and the end point of the predetermined path as the search ending point. It sets the search range, uses the search starting point as the first feature point, and searches for target points within the search range of the first feature point as repeating feature points. The search is repeated to generate an optimized path.

[0042] Compared with the prior art, the beneficial effects of the present invention are:

[0043] The intelligent strategy optimization method and system for low-altitude drone countermeasure scenarios obtains deployment requirements, acquires the effective interception range of intercepting drones, and determines the deployment quantity based on the combination of the interception range and deployment requirements. It then deploys the intercepting drones and establishes communication channels between them. By detecting the signal strength of these channels, it adjusts the positions of the relevant intercepting drones, thereby ensuring the stability of the countermeasure area when the intercepting drones provide support.

[0044] Simultaneously, by acquiring the signal connection strength information between the intercepting drone and the ground command, it is determined whether the signal strength exceeds the fluctuation limit. When the signal strength exceeds the fluctuation limit, the signal strength item exceeding the fluctuation limit is identified as the first target point. The location information of the intercepting drone is acquired, and the predetermined path of the intercepting drone is obtained. By comparing the predetermined path, points with discrepancies are identified as the second target points. A comprehensive judgment is made on 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 intercepting drone is regenerated, thereby achieving the effect of automatically optimizing the movement path of the intercepting drone. Attached Figure Description

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

[0046] Figure 2 This is a schematic diagram of the pathway terms of the present invention;

[0047] Figure 3 This is a schematic diagram of the drone adjustment according to the present invention;

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

[0049] Figure 5 This is a schematic diagram showing the positions of the first and second repeating feature points of the present invention. Detailed Implementation

[0050] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0051] Deploying interceptor drones to counter low-altitude drones is a conventional method for countering low-altitude drones. The effectiveness of interceptor drones largely depends on their communication capabilities with the ground command center. When interceptor drones are in areas with poor signal or when their communication signals are strongly interfered with, the target interceptor drones often encounter difficulties in information transmission or interruption. This not only affects the interceptor drones' ability to receive commands but also restricts their flexibility and accuracy in executing countermeasures. For example, in urban areas or complex terrain, signal propagation may be severely restricted due to natural obstacles such as buildings and trees, leading to delays or deviations in the interceptor drones' actions and making it difficult to effectively achieve the countermeasure objective. Therefore, optimizing the operation methods of interceptor drones is particularly important, and flexible and adaptable operational strategies should be developed for different combat environments. Secondly, when deploying multiple interceptor drones to form an area of ​​defense, the countermeasure area of ​​each interceptor drone must be clearly defined. 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 operation, some interceptor drones may be limited in their operation due to environmental or other factors, thus requiring support from other interceptor drones. At this time, if there is a lack of a good regional coordination and information sharing mechanism, gaps or loopholes may appear in the countermeasures area, thus affecting the overall countermeasures effect. The technical solution provided in this application verifies the signal connection strength between the target intercepting drone and the ground command during the drone interception operation, and automatically adjusts the position of the target intercepting drone, thereby providing an automatic optimization effect for the target intercepting drone's movement path. At the same time, it establishes communication channels between the intercepting drones to obtain a channel set, which includes at least one channel item. The intercepting drones send detection signal streams to each other and obtain the signal strength of the detection signal streams. The position of the intercepting drones is adjusted by adjusting the method to keep the signal strength of the monitoring signal streams in the channel set consistent. This achieves the effect of ensuring the stability of the countermeasures area while supporting the interception of drones. Specifically, this application includes steps S100-S400.

[0052] Step S100: Obtain deployment requirements, deploy interceptor drones according to the deployment requirements, and obtain the location data of the interceptor drones.

[0053] It should be noted that deployment requirements include area requirements, and deployment methods include: obtaining the effective interception range of the intercepting drone to obtain the interception range item; obtaining the deployment quantity item based on the combination of the interception range item and the deployment requirements; and deploying the intercepting 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 the target drone by interfering with GPS and radio signals. At this time, its effective interception range is 1km, that is, the interception range item is 1km. The obtained deployment requirement is a target area with a length of 5km, that is, 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 intercepting drones are deployed, that is, the intercepting drones are arranged in a line with a spacing of 1km, and the interception is carried out in the target area.

[0055] Step S200: Establish communication channels between intercepting drones, obtain a channel set, detect the signal strength of the channel set, and obtain the 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 streams, the intercepting drones receive the detection signal streams, obtain feedback data, and then obtain the first signal feedback item.

[0057] In the specific implementation process, such as Figure 2 As shown, drones A, B, and C are arranged in a line and establish a communication path. There are two paths: one between drone A and drone B, and the other between drone B and drone C. Drones A, B, and C send detection signal streams to each other and measure the RSSI value. The signal strength of the detected signal stream is -70dBm, meaning that drone B sends detection signal streams to both drone A and drone C. Feedback data is obtained based on the detection signal streams received by drones A and C.

[0058] Step S300: Based on the first signal feedback item, adjust the position of the intercepting drone by adjusting the method.

[0059] It should be noted that the adjustment method includes: sorting the signal strength based on the first signal feedback item to obtain the signal sorting item; adjusting the position of the intercepting drone based on the signal sorting item and the position information set; setting the adjustment direction and adjustment distance sort; the adjustment direction is the direction of the intercepting drone in the position information set; and the adjustment distance sort is 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, such as Figure 3As shown, UAVs A, B, and C are arranged in a folded shape and establish a communication path. The signal strength of the detection signal stream is -70dBm. UAV B sends detection signal streams to both UAV A and UAV C. The detection signal stream received by UAV A has a signal strength of -80dBm, and the detection signal stream received by UAV C has a signal strength of -70dBm. At this point, the signal strength is sorted, and the resulting signal ranking is UAV C > UAV A. Since the adjustment direction is the direction of the UAV intercepting the location information, the adjustment distance ranking is the reverse of the signal ranking, so that the first signal feedback item remains the same, that is, the adjustment distance ranking is UAV A > UAV C, and the adjustment direction is the direction of UAV A, that is, UAV B moves towards the direction of UAV A, so that the detection signal stream received by UAV A is consistent with the detection signal stream received by UAV C.

[0061] Step S400: Adjust the position of the intercepting drone through the processing method and automatically optimize the movement path of the intercepting drone.

[0062] It is important to note that during the process of intercepting a drone flying to a designated area, the position of the intercepting drone needs to be adjusted according to the actual situation in order to optimize the drone's trajectory.

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

[0064] Step S4001: Obtain the signal connection strength information between the intercepting drone and the ground command, obtain the signal strength set, 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 that exceeds the fluctuation limit value as the first target point, and obtain the first target set.

[0065] It should be noted that the method for obtaining the signal strength set includes: setting a transmission interval of 1 second; obtaining a transmission time set based on the transmission interval, which consists of 1 second, 2 seconds, 3 seconds, etc., and the transmission time set includes at least one transmission time item; and obtaining the signal strength data received by the target intercepting drone from the ground command based on the transmission time set.

[0066] In the specific implementation process, during the interception mission, the ground command continuously sends signal transmission data to the interception drone at a transmission interval of 1 second. The signal transmission data strength is -70dBm. At this time, the signal strength data received by the target interception drone is acquired. At 1 second, 2 seconds, and 3 seconds, the signal strength data are -70dBm, -70dBm, and -69dBm, respectively. The signal strength set is composed of the signal strength data received by the target interception drone at different transmission times.

[0067] It is important to note that the interceptor drone stores basic information. The method for setting the fluctuation limit value includes: based on the basic information, obtaining the model data of the interceptor drone to obtain the model data item, which includes the effective signal range, and obtaining the target range item, i.e., different models of interceptor drones have different effective signal ranges; based on the target range item, setting a first fluctuation value and a second fluctuation value, which are ±10% and ±20% respectively, to determine whether the ground command is within the target range item of the target interceptor drone. When the ground command is within the target range item of the target interceptor drone, 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 interceptor drone, 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 intercept drone was obtained as DJI Mavic 2 Pro, with an effective signal range of 8km, i.e., the target range was 8km. During the mission, the intercept drone maintained a constant signal connection with ground command. When ground command exceeded the effective signal range of the intercept drone, a relay station re-established the signal connection between the intercept drone and ground command. At this point, the signal quality was relatively poor, with the signal transmission data strength from ground command to the intercept drone being -70dBm. The system then determined whether ground command was within the target range of the intercept drone. When ground command was within the target range, the combination of the first fluctuation value and the signal transmission data... If the fluctuation limit is -77dBm to -63dBm, and the ground command is not within the target range of the intercepting drone, the combination of the second fluctuation value and the signal transmission data is the fluctuation limit, which is -84dBm to -56dBm. This indicates that the ground command is within the effective signal range of the intercepting drone, and the obtained signal strength sets are -70dBm, -70dBm, -69dBm, -78dBm, -70dBm, and -62dBm. This means that the signal strength exceeds the fluctuation limit at 4s and 6s, therefore the first target points are at 4s and 6s.

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

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

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

[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, the overlapping part is determined as the target item to be judged, and the transmission position corresponding to the target item to be judged is obtained to obtain the judgment position item.

[0073] In the specific implementation process, it was determined that the ground command was within the effective signal range of the intercepting drone, and the signal strength sets were -70dBm, -70dBm, -69dBm, -78dBm, -70dBm, and -62dBm. That is, the signal strength exceeded the fluctuation limit at 4s and 6s, so the first target point was at 4s and 6s. At the same time, the path of the target intercepting drone under the transmission time set was compared with the predetermined path. There was no overlap at 4s and 5s, so the second target point was at 4s and 5s. At this time, the first target set and the second target set overlapped, and the overlapped part was 4s. The position was determined at 4s.

[0074] Step S4004: Using the determined location item as the search starting point and the end point of the predetermined path as the search ending point, set the search range, use the search starting point as the first feature point, search for target points within the search range of the first feature point as repeating feature points, repeat the search, and generate an optimized path.

[0075] It is important to note that the method for setting the search range includes: setting the target search path based on the search start point and search end point; setting a cut value of 10%; obtaining the target value based on the combination of the target search path and the cut 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 obtained as 1km. At this time, according to the set cutting value, the target value is 100m. The search range is obtained by using the target value as the target radius.

[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 closest location data to the search endpoint, as a repeating feature point; obtaining the signal strength data of the target intercepting drone receiving the transmission request within the search range of the repeating feature point, which does not exceed the fluctuation limit value and is the closest location data to the search endpoint, as a repeating feature point again, and repeating the steps to obtain the optimized path.

[0078] In the specific implementation process, a circular area with a radius of 100m is obtained as the search range. The overlap between the first target set and the second target set is 4s. The position is determined at 4s. That is, the position at 4s is taken as the search starting point. The position data of the target intercepting drone receiving the transmission request with a signal strength between -77dBm and -63dBm and closest to the search endpoint is taken as the repeating feature point, and the first repeating feature point is obtained. Then, the first repeating feature point is taken as the search starting point. The position data of the target intercepting drone receiving the transmission request with a signal strength between -77dBm and -63dBm and closest to the search endpoint is taken as the repeating feature point, and so on, until the target intercepting drone reaches the search endpoint, and the optimized path is obtained.

[0079] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended embodiments and their equivalents.

Claims

1. A method for optimizing intelligent strategies in a low-altitude unmanned aerial vehicle (UAV) countermeasure scenario, characterized in that, include: Obtain deployment requirements, deploy interceptor drones based on deployment requirements, obtain location data of the interceptor drones, and obtain a set of location information. Establish communication paths between intercepting drones to obtain a path set, which includes at least one path item. Detect the signal strength of the path set to obtain the first signal feedback item. Based on the first signal feedback, the position of the intercepting drone is adjusted by adjusting the method to ensure the stability of the countermeasures area when the intercepting drone is supported; By adjusting the position of the intercepting drone through processing methods, the movement path of the intercepting drone can be automatically optimized. The processing method includes: Step 1: Strength Acquisition. Acquire the signal connection strength information between the intercepting drone and the ground command to obtain a signal strength set. The signal strength set includes at least one signal strength item at a given moment. 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 that exceeds the fluctuation limit value is determined as the first target point, and the first target set is obtained. Step 2: Location acquisition. Obtain the location information of the intercepting drone and obtain the transmission location set. The transmission location set includes at least one transmission location item at a given moment. Obtain the predetermined path of the intercepting drone. Compare the predetermined path with the transmission location set. Identify the points where the predetermined path differs from the transmission location set as the second target points and obtain the second target set. Step 3: Comprehensive judgment. Determine whether the first target set and the second target set overlap. If the first target set and the second target set overlap, the overlapping part is determined as the judgment target item, and the transmission position corresponding to the judgment target item is obtained to obtain the judgment position item. Step 4: Path generation. The search starts with the determined location item and ends with the predetermined path. The search range is set, and the target points within the search range of the search start point are used as repeated feature points. The search is repeated to generate an optimized path.

2. The intelligent strategy optimization method for low-altitude UAV countermeasure scenarios according to claim 1, characterized in that: The method for obtaining the signal strength set includes: Set a transmission interval, and based on the transmission interval, obtain a transmission time set, which includes at least one transmission time item; Based on the transmission time set, the ground command sends signal transmission data to the target intercepting drone, obtains the signal strength data received by the target intercepting drone, and obtains the signal strength set.

3. The intelligent strategy optimization method for low-altitude UAV countermeasure scenarios according to claim 2, characterized in that: The interceptor drone stores basic information, and the method for setting the fluctuation limit value includes: Based on the basic information, obtain the model data of the intercepting drone to get the model data item. The model data item includes the effective signal range, and the target range item is obtained. Based on the target range item, a first fluctuation value and a second fluctuation value are set to determine whether the ground command is within the target range item of the target intercepting drone. When the ground command is within the target range item of the target intercepting drone, 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 drone, the combination result of the second fluctuation value and the signal transmission data is the fluctuation limit value.

4. The intelligent strategy optimization method for low-altitude UAV countermeasure scenarios according to claim 2, characterized in that: The methods for obtaining the second target set include: Based on the transmission time set, the location information of the UAV is obtained, the transmission location set is obtained, the path connection 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. When the comparison feature points coincide, the real-time path item is compared with the established path. The second target set is obtained by acquiring the non-overlapping areas between the real-time path items marked by the target device and the predetermined path.

5. The intelligent strategy optimization method for low-altitude UAV countermeasure scenarios according to claim 1, characterized in that: The method for setting the search range includes: Set the target search path based on the search start and search end points; Set a cutting value, and obtain the target value based on the combination of the target search path and the cutting value. Use the target value as the target radius to obtain the search range.

6. The intelligent strategy optimization method for low-altitude UAV countermeasure scenarios according to claim 1, characterized in that: The method for generating the optimized path includes: The signal strength data of the target intercepting drone receiving the transmission request within the search range of the first feature point does not exceed the fluctuation limit value and the location data closest to the search endpoint is obtained as a repeat feature point. Then, the signal strength data of the target intercepting drone receiving the transmission request within the search range of the repeat feature point does not exceed the fluctuation limit value and the location data closest to the search endpoint is obtained as a repeat feature point again. The steps are repeated to obtain the optimized path.

7. The intelligent strategy optimization method for low-altitude UAV countermeasure scenarios according to claim 1, characterized in that: The deployment requirements include area requirements, and the deployment methods include: Obtain the effective interception range of the drone to obtain the interception range item. Based on the combination of the interception range item and the deployment requirements, obtain the deployment quantity item. The deployment of interceptor drones is based on the number of deployments and the interception range.

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

9. The intelligent strategy optimization method for low-altitude UAV countermeasure scenarios according to claim 1, characterized in 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 intercepting drone based on the signal sorting item and the location information set; setting the adjustment direction and adjustment distance sort; the adjustment direction is the direction of the intercepting drone in the location information set; and the adjustment distance sort is 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 countering low-altitude unmanned aerial vehicles (UAVs), characterized in that: A smart strategy optimization method for low-altitude UAV countermeasure scenarios, as described in any one of claims 1-9, includes: Deployment module: Deploys interceptor drones based on deployment requirements, acquires the location data of the interceptor drones to obtain a location information set, establishes communication paths between the interceptor drones to obtain a path set, the path set includes at least one path item, detects the signal strength of the path set to obtain the first signal feedback item; First adjustment module: Based on the first signal feedback item, adjust the position of the intercepting drone to ensure the stability of the countermeasures area when the intercepting drone is supported; Data evaluation module: acquires signal connection strength information between the intercepting drone and ground command, sets fluctuation limit values, determines whether the signal strength item exceeds the fluctuation limit value, and 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, thus obtaining the first target set; acquires the position information of the intercepting drone, thus obtaining the transmission position set; acquires the predetermined path of the intercepting drone, compares the predetermined path with the transmission position set, and determines the points where the predetermined path and the transmission position set differ as the second target points, thus obtaining the second target set; Data Judgment Module: Determines 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 the judgment target item, the transmission position corresponding to the judgment target item is obtained, and the judgment position item is obtained. The second adjustment module uses the determined location item as the search starting point and the end point of the predetermined path as the search ending point. It sets the search range, uses the search starting point as the first feature point, and searches for target points within the search range of the first feature point as repeating feature points. The search is repeated to generate an optimized path.

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