Portable unmanned aerial vehicle defense device control method and system

Abstract

The application is suitable for the technical field of defense equipment control, and particularly relates to a portable unmanned aerial vehicle defense equipment control method and system. The method comprises the following steps: delimiting a defense area of an unmanned aerial vehicle, traversing possible signal sources in the defense area, configuring characteristic data of the signal sources, wherein each signal source corresponds to at least one characteristic data, integrating the signal sources and the characteristic data, and generating a characteristic library; activating a plurality of spectrum analyzers pre-deployed in the defense area, collecting spectrum data, comparing the characteristic library, and judging whether there is a data link of an illegal unmanned aerial vehicle. The application can verify the intrusion behavior of the illegal unmanned aerial vehicle by activating the repelling unmanned aerial vehicle, provide a data basis for the control and adjustment of the defense equipment, and can visually interfere with the illegal unmanned aerial vehicle by starting the visual interference rule, enhance the deterrent effect, and promote the illegal unmanned aerial vehicle to actively withdraw, thereby greatly improving the use efficiency of the defense equipment.

Description

Technical Field

[0001] The present invention relates to the field of defense equipment control technology, and in particular to a convenient unmanned aerial vehicle defense equipment control method and system. Background Art

[0002] Drone defense equipment refers to specialized systems or devices used to detect, identify, track, and respond to illegal drone intrusions. Its purpose is to ensure airspace security, personnel safety, information security, and facility security. Such equipment is widely used in sensitive areas such as concert venues and large-scale event areas.

[0003] In actual use, when the defense device is turned on, the intruding drone will be cut off from the remote control signal, causing it to lose navigation and positioning information. However, this may trigger the default "loss of connection response mechanism" in the intruding drone, such as hovering, returning or directly falling. However, in complex airspace or urban environments, the positioning signal is not stable. If the interference is too strong or the target drone does not have a safe return mechanism, it is very likely to cause the intruding drone to crash directly, affecting the safety of equipment and personnel.

[0004] Therefore, “how to safely drive away an intruding drone” is the technical problem that the present invention needs to solve. Summary of the Invention

[0005] The purpose of the present invention is to provide a convenient drone defense equipment control method and system to solve the problem of "how to safely drive away intruding drones" raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A convenient method for controlling drone defense equipment, the method comprising:

[0008] Delineate the drone's defense area, traverse the possible signal sources within the defense area, configure the feature data of the signal sources, where each signal source corresponds to at least one feature data, integrate the signal sources and feature data to generate a feature library;

[0009] Activate several spectrum analyzers pre-deployed in the defense area to collect spectrum data, compare it with the feature library, and determine whether there is a data link with an illegal drone. If so, select the illegal drone's image transmission signal from the data link and calculate its approximate location. Activate the built-in radio frequency module in the drone defense equipment to interfere with the image transmission signal.

[0010] Based on the approximate location, a take-off command is generated and sent to the driving-away drone. A binocular visual camera integrated in the driving-away drone is used to collect a disparity map containing the illegal drone, verify the data link, locate the relative coordinates of the illegal drone, calculate an offset value, generate an offset route, and adjust the offset route in real time. When the illegal drone is located at the center of the disparity map and the offset value is less than a preset threshold, the visual interference rule pre-embedded in the driving-away drone is activated.

[0011] Furthermore, the steps of defining the defense area of ​​the drone and traversing possible signal sources within the defense area include:

[0012] Dividing the signal source into a static signal and a mobile signal, and defining the signal source corresponding to the data link as a target source;

[0013] Determine whether the target source is a mobile signal. If so, integrate all mobile signals, generate an early warning list, and send it to a preset terminal.

[0014] Furthermore, the step of activating several spectrum analyzers pre-deployed in the defense area, collecting spectrum data, comparing the spectrum data with the feature library, and determining whether there is a data link of an illegal drone includes:

[0015] Configuring the deployment location of the mimic controller, synchronizing the data link to the mimic controller, and generating a handshake signal;

[0016] The handshake signal is sent to the signal source, a feedback signal is received, and the illegal drone is redefined.

[0017] Furthermore, the steps of selecting the image transmission signal of the illegal drone and calculating its approximate location include:

[0018] Integrate all spectrum analyzers, generate a collaborative processing architecture, and embed multilateration algorithms;

[0019] The collaborative processing architecture and the image transmission signal are integrated to calculate the approximate location.

[0020] Furthermore, the step of activating the radio frequency module built into the drone defense device to interfere with the image transmission signal includes:

[0021] Determine the frequency band of the image transmission signal, build the interference range, and input it into the RF module;

[0022] The defense area is divided into several danger zones, and handling rules corresponding to the danger zones are edited. The approximate location of the danger zone is located, and the corresponding handling rules are triggered.

[0023] Furthermore, the step of generating a takeoff instruction based on the approximate location and sending it to the drone driving away device includes:

[0024] Collect spatial distribution information within the defense area, draw a building distribution map, and mark risk points;

[0025] A virtual fence is constructed through the risk points and a trigger mechanism is embedded.

[0026] Furthermore, the method further comprises:

[0027] updating the approximate location at a preset frequency and marking it on the building distribution map;

[0028] Connect all approximate locations, generate an intrusion route, find the take-off point, and send it to the preset terminal.

[0029] The present invention also provides a portable drone defense equipment control system, the system comprising:

[0030] The generation module is used to delineate the defense area of ​​the drone, traverse the possible signal sources in the defense area, configure the feature data of the signal sources, where each signal source corresponds to at least one feature data, integrate the signal sources and feature data, and generate a feature library;

[0031] The jamming module is used to activate several spectrum analyzers pre-deployed in the defense area, collect spectrum data, compare it with the feature library, and determine whether there is a data link of an illegal drone. If so, it selects the image transmission signal of the illegal drone from the data link, calculates its approximate location, and activates the built-in radio frequency module in the drone defense equipment to interfere with the image transmission signal;

[0032] The adjustment module is configured to generate a takeoff command based on the approximate location and send it to the repelling drone. The adjustment module utilizes a binocular visual camera integrated in the repelling drone to collect a disparity map containing the illegal drone, verify the data link, locate the relative coordinates of the illegal drone, calculate an offset value, generate an offset route, and adjust the offset route in real time. When the illegal drone is located at the center of the disparity map and the offset value is less than a preset threshold, the visual interference rule pre-embedded in the repelling drone is activated.

[0033] Furthermore, the generation module includes:

[0034] A segmentation unit, configured to segment the signal source into a static signal and a mobile signal, and define the signal source corresponding to the data link as a target source;

[0035] The sending unit is used to determine whether the target source is a mobile signal. If so, it integrates all mobile signals, generates an early warning list, and sends it to a preset terminal.

[0036] Furthermore, the interference module includes:

[0037] A configuration unit, configured to configure a deployment location of the mimic controller, synchronize the data link to the mimic controller, and generate a handshake signal;

[0038] A definition unit, configured to send the handshake signal to a signal source, receive a feedback signal, and redefine the illegal drone;

[0039] Embedding unit, used to integrate all spectrum analyzers, generate a collaborative processing architecture, and embed the multilateration algorithm;

[0040] A calculation unit, configured to integrate the collaborative processing architecture and the image transmission signal to calculate an approximate location;

[0041] The input unit is used to determine the frequency band of the image transmission signal, build the interference range, and input it into the RF module;

[0042] The handling unit is used to divide the defense area into a plurality of danger zones, edit handling rules corresponding to the danger zones, locate the approximate location of the danger zones, and trigger the corresponding handling rules.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] By determining the source of the signal, the recognition accuracy of illegal drones can be improved and the risk of false interference can be reduced. By building a feature library, the feature data can be identified and classified with high precision, which is convenient for comparison and retrieval, so as to quickly lock the illegal drones. By interfering with the image transmission signal, the illegal drones can be guided to return, avoiding the drones from losing control and crashing, improving safety, ensuring the safety of personnel and equipment, and achieving the purpose of safely driving away intruding drones. By activating the driving away drone, the intrusion behavior of illegal drones can be verified, providing a data basis for the control adjustment of defense equipment. By starting the visual interference rules, illegal drones can be visually interfered with, enhancing the deterrent effect, and prompting illegal drones to evacuate actively, greatly improving the efficiency of the use of defense equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention.

[0046] Figure 1This is a flowchart of a method for controlling a portable drone defense device according to an embodiment of the present invention.

[0047] Figure 2 This is a block diagram of the first sub-process of the portable drone defense device control method provided in an embodiment of the present invention.

[0048] Figure 3 This is a block diagram of the second sub-process of the portable drone defense device control method provided in an embodiment of the present invention.

[0049] Figure 4 This is a block diagram of the third sub-process of the portable drone defense equipment control method provided in an embodiment of the present invention.

[0050] Figure 5 A block diagram of the portable drone defense equipment control system provided in an embodiment of the present invention.

[0051] Figure 6 This is a block diagram of the composition of the generation module in the portable drone defense equipment control system provided by an embodiment of the present invention.

[0052] Figure 7 This is a block diagram of the composition of the interference module in the portable drone defense equipment control system provided by an embodiment of the present invention.

[0053] Figure 8 This is a block diagram of the composition of the adjustment module in the portable drone defense equipment control system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0055] In Example 1, Figure 1 The implementation process of the portable drone defense device control method provided by the embodiment of the present invention is shown and described in detail below:

[0056] S100: Delineate the defense area of ​​the drone, traverse the possible signal sources in the defense area, configure feature data of the signal sources, where each signal source corresponds to at least one feature data, integrate the signal sources and feature data, and generate a feature library.

[0057] Define the airspace that needs to be monitored and protected, namely the defense area, which can be a performance venue or a public activity area. Conduct a comprehensive scan and traversal of all possible signal sources within the defense area. Signal sources include audience terminal equipment, performance communication systems, broadcasting equipment, and legal drones. Extract and configure the characteristic data of each signal source. The characteristic data includes but is not limited to: operating frequency, modulation mode, signal strength and time characteristics, etc. Establish a correspondence between each signal source and the characteristic data, integrate all the correspondences, and generate a feature library. The feature library is mainly used to quickly identify the communication signals of illegal drones and improve the response efficiency of defense equipment.

[0058] S200: Activate several spectrum analyzers pre-deployed in the defense area, collect spectrum data, compare it with the feature library, and determine whether there is a data link of an illegal drone. If so, select the image transmission signal of the illegal drone from the data link, calculate its approximate location, and activate the built-in radio frequency module in the drone defense equipment to interfere with the image transmission signal.

[0059] Based on actual resource allocation or monitoring arrangements, several spectrum analyzers are deployed in the defense area in advance. A spectrum analyzer is an electronic test device that can measure and analyze radio spectrum signals. The spectrum analyzer is used to collect spectrum data in the defense area in real time, including information such as frequency, bandwidth, modulation method, signal strength and time domain characteristics, and generate a spectrum scan graph. The collected spectrum data is compared with a pre-established feature library to identify whether there are signals in the spectrum data that meet the characteristics of illegal drone data links.

[0060] If so, filter out the frequency bands and signal types that meet the characteristics of the illegal drone's image transmission signal from the captured data link, and use the multi-point positioning algorithm in the existing technology, combined with the spectrum data from multiple deployed spectrum analyzers, to infer the approximate spatial position of the illegal drone; activate the radio frequency module integrated inside the portable drone defense device, where the radio frequency module refers to an electronic device specifically used to transmit interfering radio signals, which can block or interfere with the normal transmission of the target communication link by generating interference waves, noise signals or false signals within a specific frequency range, so that the drone pilot cannot receive clear image feedback; it should be noted that this process does not affect the drone's flight control system, and there is no risk of crash. At the same time, it effectively weakens the reconnaissance and monitoring functions of illegal drones, further improving the use effect of the defense equipment.

[0061] S300: Based on the approximate location, a take-off command is generated and sent to the driving-away drone. A binocular visual camera integrated in the driving-away drone is used to collect a disparity map containing the illegal drone, verify the data link, locate the relative coordinates of the illegal drone, calculate the offset value, generate an offset route, and adjust the offset route in real time. When the illegal drone is located at the center of the disparity map and the offset value is less than a preset threshold, the visual interference rule pre-embedded in the driving-away drone is activated.

[0062] Generate a takeoff command, which includes the approximate location of the illegal drone, the takeoff position of the driving-away drone, and the flight path planning. The takeoff command is sent to the driving-away drone. After receiving the takeoff command, the driving-away drone starts the takeoff procedure and flies according to the flight plan path. During the flight, the driving-away drone will continue to use its own sensors and vision system to track the illegal drone, adjust its heading and altitude in real time, ensure that it can stably approach the illegal drone, and implement subsequent interference.

[0063] The repelling drone is equipped with a binocular vision camera, which consists of two cameras installed side by side with slightly different viewing angles. By simultaneously capturing two images of the same scene, the binocular vision camera uses the principle of parallax to calculate the depth information and three-dimensional spatial position of each object in the image. The binocular vision camera in the repelling drone synchronously captures two images with slightly different viewing angles to generate a disparity map containing the illegal drone, and calculates the three-dimensional spatial position and distance of the illegal drone relative to the repelling drone. Based on the calculation results, the data link of the illegal drone is verified, where verification includes: determining whether the illegal drone actually exists and verifying whether the approximate location is correct.

[0064] The relative coordinates of the illegal drone are calculated based on the three-dimensional spatial position and distance of the illegal drone relative to the driving drone, combined with the real-time position of the driving drone. The relative coordinates are: the spatial position coordinates of the illegal drone relative to the driving drone, that is, the position of the illegal drone is represented by the values ​​of the X, Y, and Z axes, with the driving drone as the coordinate origin. The offset value is calculated from the relative coordinates. The offset value is the distance the driving drone needs to move in the X, Y, and Z axes to reach under the illegal drone.

[0065] The offset value is used to generate an offset route, and the driving drone is controlled to fly along the offset route. The offset route is adjusted in real time based on the relative coordinates. When the binocular vision camera detects that the illegal drone is exactly at the center of the disparity map and the current offset value is less than the preset threshold, it means that the driving drone has reached the area directly below the illegal drone (which may not be located on the vertical projection), and the built-in visual interference rules are immediately activated. The visual interference rules include: controlling the driving drone to emit strong flashing lights, lasers or other optical signals.

[0066] In this application, the driving away drone is controlled to fly to the area directly below the illegal drone and perform visual interference, thereby affecting the normal shooting of the illegal drone and forcing the illegal drone to return. In actual operation, the location where the driving away drone performs visual interference should include, in addition to the area directly below the illegal drone, other interference locations on the connecting line between the illegal drone and the performance center (or other main locations). Regardless of whether the driving away drone is located below the illegal drone or at other interference locations, when the driving away drone emits a flashing light, the strong and frequent flashing light will directly interfere with the shooting effect of the illegal drone's camera, causing the image in its image transmission signal to be severely jittered, blurred or completely blocked, ultimately making the illegal drone lose its shooting significance and forcing it to return.

[0067] In Example 2, Figure 2 The implementation process of the portable drone defense device control method provided by an embodiment of the present invention is shown. The steps of demarcating the drone's defense area and traversing the possible signal sources within the defense area are described in detail below:

[0068] S101: Divide the signal source into a static signal and a mobile signal, and define the signal source corresponding to the data link as a target source.

[0069] Signal sources are divided into static signal sources and mobile signal sources. Static signals refer to devices with fixed locations and stable communication parameters, such as performance audio equipment, surveillance cameras, broadcasting systems, and Wi-Fi hotspots. The transmission frequency band, power, and location of such devices remain basically unchanged throughout the performance or event; mobile signals include smart terminals carried by the audience, legal drones, and wearable devices. The signal source corresponding to the data link is defined as the target source, where the data link refers to the communication signal corresponding to suspected illegal drones.

[0070] S102: Determine whether the target source is a mobile signal. If so, integrate all mobile signals, generate an early warning list, and send it to a preset terminal.

[0071] Determine whether the target source is a mobile signal. If so, integrate all mobile signals to generate an early warning list. The early warning list is a collection of all communication signals suspected to be illegal drones. The early warning list is sent to a preset terminal, where the preset terminal is the drone defense equipment management personnel terminal.

[0072] In Example 3, Figure 3 The following describes the implementation process of the portable drone defense device control method provided by an embodiment of the present invention. The following details the steps of activating several spectrum analyzers pre-deployed in the defense area, collecting spectrum data, comparing the spectrum data with the feature library, and determining whether there is a data link with an illegal drone.

[0073] S201: Configuring a deployment location of the mimic controller, synchronizing the data link to the mimic controller, and generating a handshake signal.

[0074] Mimetic controllers are deployed at communication relay points and edge computing units within the defense area. The mimetic controllers can simulate the characteristics of legitimate communication links and build false interaction channels. The spectrum data of the data link (communication frequency, modulation method, data packet structure, and signal timing characteristics, etc.) is transmitted to the mimetic controllers. After receiving the spectrum data, the mimetic controllers actively initiate simulated interactions with the data link and generate handshake signals.

[0075] S202: Send the handshake signal to the signal source, receive a feedback signal, and redefine the illegal drone.

[0076] After the handshake signal is sent, the mimic controller continuously monitors the response behavior of the signal source, receives and parses the feedback signal returned, which may include confirmation response, rejection, silence, or intention to continue communication. By obtaining the feedback signal, it can further confirm whether the signal source is an illegal drone, avoiding ambiguous judgment based solely on spectrum data.

[0077] In Example 4, Figure 3 The following is a detailed description of the steps for selecting the image transmission signal of an illegal drone and calculating its approximate location.

[0078] S203: Integrate all spectrum analyzers, generate a collaborative processing architecture, and embed a multilateration positioning algorithm.

[0079] All spectrum analyzers are used to generate a collaborative processing architecture. The collaborative processing architecture connects the data acquisition modules, signal processing modules, and control nodes of each spectrum analyzer through a network, thereby achieving data synchronization, task allocation, and sharing of processing results among multiple devices. A multi-point positioning algorithm is embedded in the collaborative processing architecture to achieve rapid positioning of illegal drones.

[0080] S204: Integrate the collaborative processing architecture and the image transmission signal to calculate an approximate location.

[0081] Based on the spectrum data received by multiple spectrum analyzers, combined with the arrival time, arrival time difference or phase difference, etc., the approximate location of the illegal drone is calculated using the multi-point positioning algorithm.

[0082] In this embodiment, only the approximate location of the illegal drone needs to be calculated. Subsequently, the approximate location of the illegal drone is refined by visual positioning of the driving away drone. Refinement means reducing the error range.

[0083] In Example 5, Figure 3 The implementation process of the portable drone defense device control method provided by an embodiment of the present invention is shown. The following details the steps of activating the built-in RF module in the drone defense device and interfering with the image transmission signal.

[0084] S205: Determine the frequency band of the image transmission signal, build an interference range, and input it into the radio frequency module.

[0085] Determine the frequency band of the image transmission signal, including data such as the center frequency, bandwidth, and upper and lower boundary frequencies, and construct the interference range, where the interference range refers to the frequency range covered by the radio frequency interference signal. The interference range is input into the radio frequency module. After receiving the command, the radio frequency module starts immediately and transmits interference signals according to the interference range, thereby interfering with the image transmission signal of the illegal drone, causing its image return to be interrupted or severely degraded.

[0086] S206: Divide the defense area into several dangerous zones, edit handling rules corresponding to the dangerous zones one by one, locate the approximate location of the dangerous zone, and trigger the corresponding handling rules.

[0087] The defense area is divided into several small blocks, each of which is a dangerous area. A corresponding handling rule is created for each dangerous area. The handling rule is the specific method of dealing with illegal drones in the block; the handling rules include: early warning notification, flight restriction, decoy return and forced landing, etc.

[0088] For example, when an illegal drone enters a dangerous area far away from a performance or activity center, the corresponding handling rules are activated. The handling rules include sending an early warning notification to the drone defense equipment manager to alert him of the presence of an illegal drone, so that he can conduct further observation and decision-making.

[0089] In Example 6, Figure 4 The implementation process of the portable drone defense device control method provided by an embodiment of the present invention is shown. The following details the steps of generating a takeoff command based on the approximate location and issuing it to the drone driving away device, as follows:

[0090] S301: Collect spatial distribution information within the defense area, draw a building distribution map, and mark risk points.

[0091] From the building and facility management within the defense area, obtain the distribution data of various buildings, structures and terrain features in the area, that is, spatial distribution information, and generate a building distribution map, marking the risk points therein, including: important safety protection facilities, management centers or energy supply areas, etc.

[0092] S302: Construct a virtual fence via the risk points and embed a trigger mechanism.

[0093] A virtual fence is constructed with the risk point as the center and a preset distance as the radius. The virtual fence is a three-dimensional electronic boundary. When an illegal drone (approximate location) enters the virtual fence, a trigger mechanism is activated, where the trigger mechanism is an emergency response method for ground equipment or personnel; for example, a warning device is activated to remind ground personnel to stay away from the ground area corresponding to the virtual fence.

[0094] In Example 7, different from Example 1, in this embodiment of the present invention, the method further includes:

[0095] updating the approximate location at a preset frequency and marking it on the building distribution map;

[0096] Connect all approximate locations, generate an intrusion route, find the take-off point, and send it to the preset terminal.

[0097] The approximate location of illegal drones is updated according to the preset frequency, where the preset frequency can be every 1 minute. The updated approximate location is marked on the building distribution map, and all the approximate locations are connected to generate a continuous intrusion route. The intrusion route reflects the complete flight trajectory of the illegal drone from entering the defense area to the current location; the suspected take-off point is found and sent to the preset terminal to facilitate the drone defense equipment management personnel to go and deal with it in time.

[0098] Figure 5The following is a structural block diagram of a portable drone defense device control system according to an embodiment of the present invention. The portable drone defense device control system 1 includes:

[0099] The generation module 11 is used to delineate the defense area of ​​the drone, traverse the possible signal sources in the defense area, configure the feature data of the signal sources, where each signal source corresponds to at least one feature data, integrate the signal sources and feature data, and generate a feature library;

[0100] The jamming module 12 is configured to activate several spectrum analyzers pre-deployed in the defense area, collect spectrum data, compare it with the feature library, and determine whether there is a data link of an illegal drone. If so, the jamming module 12 extracts the image transmission signal of the illegal drone from the data link, calculates its approximate location, and activates the radio frequency module built into the drone defense device to jam the image transmission signal.

[0101] The adjustment module 13 is configured to generate a takeoff command based on the approximate location and send it to the repelling drone. The adjustment module 13 utilizes a binocular visual camera integrated in the repelling drone to collect a disparity map containing the illegal drone, verify the data link, locate the relative coordinates of the illegal drone, calculate an offset value, generate an offset route, and adjust the offset route in real time. When the illegal drone is located at the center of the disparity map and the offset value is less than a preset threshold, the visual interference rule pre-embedded in the repelling drone is activated.

[0102] Figure 6 The following is a structural block diagram of the portable drone defense device control system provided by an embodiment of the present invention. The generation module 11 includes:

[0103] A segmentation unit 111 is configured to segment the signal source into a static signal and a mobile signal, and define the signal source corresponding to the data link as a target source;

[0104] The sending unit 112 is configured to determine whether the target source is a mobile signal. If so, it integrates all mobile signals, generates a warning list, and sends the warning list to a preset terminal.

[0105] Figure 7 The block diagram of the structure of the portable drone defense device control system provided by an embodiment of the present invention is shown. The interference module 12 includes:

[0106] The configuration unit 121 is used to configure the deployment location of the mimic controller, synchronize the data link to the mimic controller, and generate a handshake signal;

[0107] A defining unit 122 is configured to send the handshake signal to a signal source, receive a feedback signal, and redefine the illegal drone;

[0108] an embedding unit 123 for integrating all spectrum analyzers, generating a collaborative processing architecture, and embedding a multilateration algorithm;

[0109] A calculation unit 124 is used to integrate the collaborative processing architecture and the image transmission signal to calculate an approximate location;

[0110] The input unit 125 is used to determine the frequency band of the image transmission signal, construct the interference range, and input it into the radio frequency module;

[0111] The handling unit 126 is used to divide the defense area into a plurality of danger zones, edit handling rules corresponding to the danger zones, locate the approximate location of the danger zone, and trigger the corresponding handling rules.

[0112] Figure 8 The following is a structural block diagram of the portable drone defense device control system provided by an embodiment of the present invention. The adjustment module 13 includes:

[0113] The marking unit 131 is used to collect spatial distribution information within the defense area, draw a building distribution map, and mark risk points;

[0114] The trigger unit 132 is used to build a virtual fence through the risk point and embed a trigger mechanism.

[0115] The generation module 11 is mainly used to complete step S100, the interference module 12 is mainly used to complete step S200, and the adjustment module 13 is mainly used to complete step S300;

[0116] The segmentation unit 111 is mainly used to complete step S101, and the sending unit 112 is mainly used to complete step S102;

[0117] The configuration unit 121 is mainly used to complete step S201, the definition unit 122 is mainly used to complete step S202, the embedding unit 123 is mainly used to complete step S203, the inference unit 124 is mainly used to complete step S204, the input unit 125 is mainly used to complete step S205, and the handling unit 126 is mainly used to complete step S206;

[0118] The marking unit 131 is mainly used to complete step S301, and the triggering unit 132 is mainly used to complete step S302.

[0119] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A convenient drone defense device control method, characterized in that: The method comprises: Delineate the drone's defense area, traverse the possible signal sources within the defense area, configure the feature data of the signal source, where each signal source corresponds to at least one feature data, integrate the signal source and feature data to generate a feature library; Activate several spectrum analyzers pre-deployed in the defense area to collect spectrum data, compare it with the feature library, and determine whether there is a data link with an illegal drone. If so, select the illegal drone's image transmission signal from the data link and calculate its approximate location. Activate the built-in radio frequency module in the drone defense equipment to interfere with the image transmission signal. Based on the approximate location, a takeoff command is generated and sent to the repelling drone. A binocular visual camera integrated in the repelling drone is used to collect a disparity map containing the illegal drone, verify the data link, locate the relative coordinates of the illegal drone, calculate an offset value, generate an offset route, and adjust the offset route in real time. When the illegal drone is at the center of the disparity map and the offset value is less than a preset threshold, the visual interference rule pre-embedded in the repelling drone is activated; The steps of defining the defense area of ​​the drone and traversing possible signal sources within the defense area include: Dividing the signal source into a static signal and a mobile signal, and defining the signal source corresponding to the data link as a target source; Determine whether the target source is a mobile signal. If so, integrate all mobile signals, generate a warning list, and send it to a preset terminal; The steps of activating a plurality of spectrum analyzers pre-deployed in the defense area, collecting spectrum data, comparing the spectrum data with the signature database, and determining whether there is a data link of an illegal drone include: Configuring the deployment location of the mimic controller, synchronizing the data link to the mimic controller, and generating a handshake signal; The handshake signal is sent to the signal source, a feedback signal is received, and the illegal drone is redefined.

2. The portable drone defense device control method according to claim 1, characterized in that: The steps of selecting the image transmission signal of the illegal drone and calculating its approximate location include: Integrate all spectrum analyzers, generate a collaborative processing architecture, and embed multilateration algorithms; The collaborative processing architecture and the image transmission signal are integrated to calculate the approximate location.

3. The portable drone defense device control method according to claim 1, characterized in that: The step of activating the radio frequency module built into the drone defense device to interfere with the image transmission signal includes: Determine the frequency band of the image transmission signal, build the interference range, and input it into the RF module; The defense area is divided into several danger zones, and handling rules corresponding to the danger zones are edited. The approximate location of the danger zone is located, and the corresponding handling rules are triggered.

4. The portable drone defense device control method according to claim 3, characterized in that: The step of generating a takeoff instruction based on the approximate location and sending the instruction to drive away the drone includes: Collect spatial distribution information within the defense area, draw a building distribution map, and mark risk points; A virtual fence is constructed through the risk points and a trigger mechanism is embedded.

5. The portable drone defense device control method according to claim 4, characterized in that: The method further comprises: updating the approximate location at a preset frequency and marking it on the building distribution map; Connect all approximate locations, generate an intrusion route, find the take-off point, and send it to the preset terminal.

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