Defense method, device and equipment for low-power-consumption power grid unmanned aerial vehicle, storage medium and program product

Abstract

The invention relates to a defense method, device and equipment for a low-power-consumption power grid unmanned aerial vehicle, a storage medium and a program product. The method comprises the steps of collecting audio data of an electric target area, monitoring whether a target unmanned aerial vehicle exists in the target area according to the audio data, and controlling a radar to scan the target area under the condition that the target unmanned aerial vehicle exists in the target area is monitored, so as to obtain scanning radar data, an airflow sensor is controlled to collect air velocity information in the target area, and the current spatial position of the target unmanned aerial vehicle is determined according to the scanning radar data and the air velocity information; when it is determined that the current spatial position is in the first early warning range, generating warning information, acquiring a communication frequency band of the target unmanned aerial vehicle, and sending the warning information to the target unmanned aerial vehicle; the warning information is used for warning the target UAV away from the power facility; according to the method, the spatial position of the unmanned aerial vehicle is positioned through the radar data and the air velocity information, positioning errors are reduced, and the warning energy utilization rate is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of power grid security, and in particular to a low-power consumption power grid unmanned aerial vehicle defense method, device, equipment, storage medium and program product. BACKGROUND

[0002] With the rapid development of low-altitude economy, unauthorized flight of unmanned aerial vehicles in the vicinity of power grid facilities has become an important security risk. Such intrusion can lead to power data leakage, such as power facility layout, equipment operating parameters can be stolen by unmanned aerial vehicle shooting, physical facility damage and communication interference.

[0003] Therefore, how to accurately monitor illegal intrusion of unmanned aerial vehicles in the power facility area has become a problem to be solved in the field of power security. SUMMARY

[0004] Therefore, it is necessary to provide a low-power consumption power grid unmanned aerial vehicle defense method, device, equipment, storage medium and program product for the above technical problems.

[0005] In a first aspect, the present application provides a low-power consumption power grid unmanned aerial vehicle defense method, comprising:

[0006] Audio data of a target area of a power facility is collected, and whether a target unmanned aerial vehicle exists in the target area is monitored according to the audio data. In the case that the target area is monitored to exist the target unmanned aerial vehicle, a radar is controlled to sweep the target area to obtain swept radar data, and an air flow sensor is controlled to collect air flow speed information in the target area, and a current spatial position of the target unmanned aerial vehicle is determined according to the swept radar data and the air flow speed information.

[0007] In the case that the current spatial position is in a first warning range, a warning information is generated, a communication frequency band of the target unmanned aerial vehicle is obtained, and the warning information is sent to the target unmanned aerial vehicle according to the communication frequency band. The warning information is used to warn the target unmanned aerial vehicle to move away from the power facility.

[0008] In one of the embodiments, whether the target unmanned aerial vehicle exists in the target area is monitored according to the audio data, comprising:

[0009] The audio data is denoised to obtain processed audio information, and the processed audio information is analyzed to obtain a plurality of timbre sound data.

[0010] The plurality of timbre sound data is split to obtain sound track data corresponding to the plurality of timbre sound data, and sound features of the sound track data are extracted.

[0011] The sound feature is matched with the features of the audio information in the drone audio database, if there is audio information matching the sound feature in the drone audio database, it is determined that there is a target drone in the target area; if there is no audio information matching the sound feature in the drone audio database, it is determined that there is no target drone in the target area.

[0012] In one of the embodiments, the current spatial position of the target drone is determined according to the scanning radar data and the air flow speed information, comprising:

[0013] The two-dimensional coordinate position of the target drone is determined according to the scanning radar data;

[0014] The air flow change period of the target drone is determined according to the air flow speed information;

[0015] The current spatial position is determined according to the two-dimensional coordinate position and the air flow change period by using a triangulation algorithm.

[0016] In one of the embodiments, the warning information is sent to the target drone according to the communication frequency band, comprising:

[0017] The warning information is encapsulated to generate an alarm data packet according to the communication protocol corresponding to the communication frequency band;

[0018] The alarm data packet is sent to the target drone.

[0019] In one of the embodiments, the current spatial position is determined according to the two-dimensional coordinate position and the air flow change period by using a triangulation algorithm, comprising:

[0020] If it is monitored that the target drone does not move away from the power facility after a predetermined time period, the power parameter of the electromagnetic pulse emitter is configured according to the standard attack power and the defense value of the target drone, and the electromagnetic pulse generator is controlled to generate an electromagnetic pulse, and the electromagnetic pulse is emitted to the target drone.

[0021] In one of the embodiments, the standard attack power and the defense value of the target drone, comprising:

[0022] The standard attack power of the electromagnetic pulse emitter is obtained;

[0023] The defense value of the target drone is determined according to the model and the attack mode of the target drone;

[0024] The power parameter of the electromagnetic pulse emitter is generated according to the standard attack power and the defense value of the target drone.

[0025] In one of the embodiments, when it is determined that the current spatial position is in the first warning range, the warning information is generated, and the communication frequency band of the target drone is obtained, comprising:

[0026] In a case where it is determined that the current spatial position of the target UAV is in the second early warning range, a return instruction is generated, a communication frequency band of the target UAV is acquired, and the return instruction is sent to the target UAV according to the communication frequency band; the return instruction is used to control the target UAV to move away from the power facility.

[0027] In a second aspect, the application further provides a low-power-consumption power grid UAV defense device, comprising:

[0028] The monitoring module collects audio data of a target area of the power facility, and monitors whether a target UAV exists in the target area according to the audio data; in a case where it is monitored that the target UAV exists in the target area, the monitoring module controls the radar to sweep the target area to obtain swept radar data, and controls an air flow sensor to collect air flow speed information in the target area, and determines a current spatial position of the target UAV according to the swept radar data and the air flow speed information.

[0029] The warning module generates warning information in a case where it is determined that the current spatial position is in the first early warning range, acquires a communication frequency band of the target UAV, and sends the warning information to the target UAV according to the communication frequency band; the warning information is used to warn the target UAV to move away from the power facility.

[0030] In a third aspect, the application further provides a low-power-consumption power grid UAV defense device, comprising a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0031] The monitoring module collects audio data of a target area of the power facility, and monitors whether a target UAV exists in the target area according to the audio data; in a case where it is monitored that the target UAV exists in the target area, the monitoring module controls the radar to sweep the target area to obtain swept radar data, and controls an air flow sensor to collect air flow speed information in the target area, and determines a current spatial position of the target UAV according to the swept radar data and the air flow speed information.

[0032] The warning module generates warning information in a case where it is determined that the current spatial position is in the first early warning range, acquires a communication frequency band of the target UAV, and sends the warning information to the target UAV according to the communication frequency band; the warning information is used to warn the target UAV to move away from the power facility.

[0033] In a fourth aspect, the application further provides a readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the following steps:

[0034] acquire audio data of a target area of the power facility, and monitor whether the target area has the target UAV according to the audio data, and in a case where it is monitored that the target area has the target UAV, control the radar to sweep the target area to obtain swept radar data, and control the airflow sensor to acquire airflow speed information in the target area, and determine a current spatial position of the target UAV according to the swept radar data and the airflow speed information;

[0035] In a case where it is determined that the current spatial position is in the first early warning range, generate warning information, acquire a communication frequency band of the target UAV, and send the warning information to the target UAV according to the communication frequency band; the warning information is used to warn the target UAV to move away from the power facility.

[0036] In a case where it is determined that the current spatial position is in the first early warning range, generate warning information, acquire a communication frequency band of the target UAV, and send the warning information to the target UAV according to the communication frequency band; the warning information is used to warn the target UAV to move away from the power facility.

[0037] acquire audio data of a target area of the power facility, and monitor whether the target area has the target UAV according to the audio data, and in a case where it is monitored that the target area has the target UAV, control the radar to sweep the target area to obtain swept radar data, and control the airflow sensor to acquire airflow speed information in the target area, and determine a current spatial position of the target UAV according to the swept radar data and the airflow speed information;

[0038] In a case where it is determined that the current spatial position is in the first early warning range, generate warning information, acquire a communication frequency band of the target UAV, and send the warning information to the target UAV according to the communication frequency band; the warning information is used to warn the target UAV to move away from the power facility.

[0039] The above-mentioned power grid UAV defense method, device, equipment, storage medium and program product acquire audio data of a target area of the power facility, and monitor whether the target area has the target UAV according to the audio data, and in a case where it is monitored that the target area has the target UAV, control the radar to sweep the target area to obtain swept radar data, and control the airflow sensor to acquire airflow speed information in the target area, and determine a current spatial position of the target UAV according to the swept radar data and the airflow speed information; in a case where it is determined that the current spatial position is in the first early warning range, generate warning information, acquire a communication frequency band of the target UAV, and send the warning information to the target UAV according to the communication frequency band; the warning information is used to warn the target UAV to move away from the power facility; the above-mentioned method realizes accurate positioning of the spatial position of the target UAV through the swept radar data and the airflow speed information, reduces positioning errors, and determines whether the target area has a UAV by combining the audio data, the radar data and the airflow speed information, reduces the misjudgment rate, and improves the alarm energy utilization rate. BRIEF DESCRIPTION OF DRAWINGS

[0040] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 This is an application environment diagram of a defense method for low-power grid drones in one embodiment;

[0042] Figure 2 This is one of the flowcharts illustrating a defense method for a low-power grid drone in one embodiment;

[0043] Figure 3 This is a second flowchart illustrating a method for defending against low-power grid drones in one embodiment.

[0044] Figure 4 This is the third flowchart illustrating a method for defending against low-power grid drones in one embodiment;

[0045] Figure 5 This is the fourth flowchart illustrating a method for defending against low-power grid drones in one embodiment;

[0046] Figure 6 This is the fifth flowchart illustrating a method for defending against low-power grid drones in one embodiment;

[0047] Figure 7 This is the sixth flowchart illustrating a method for defending against low-power grid drones in one embodiment;

[0048] Figure 8 This is the seventh flowchart illustrating a method for defending against low-power grid drones in one embodiment;

[0049] Figure 9 This is the eighth flowchart illustrating a method for defending against low-power grid drones in one embodiment;

[0050] Figure 10 This is a block diagram of the device structure of a defense device for a low-power grid-connected drone in one embodiment of the application.

[0051] Figure 11 This is an internal structural diagram of a defense device for a low-power grid drone in one embodiment. Detailed Implementation

[0052] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0053] It should be noted that the terms "first," "second," etc., used in this application can be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "comprising" and "having," and any variations thereof, used in this application, are intended to cover non-exclusive inclusion. The term "multiple" used in this application refers to two or more. The term "and / or" used in this application refers to one of the embodiments, or any combination of multiple embodiments.

[0054] With the rapid development of the low-altitude economy, unauthorized drone flights around power grid facilities have become a significant security threat. Such intrusions can lead to the leakage of power data, such as the theft of power facility layout and equipment operating parameters through drone photography, damage to physical facilities, and communication interference.

[0055] Therefore, how to accurately monitor unauthorized drones intruding into power facility areas has become an urgent problem to be solved in the field of power security.

[0056] In view of the above-mentioned technical problems, this application provides a method for defending against low-power grid drones. The following embodiments will specifically illustrate the method for defending against low-power grid drones.

[0057] The low-power grid drone defense method provided in this application embodiment can be applied to, for example... Figure 1 The illustrated low-power grid system includes: power facilities 101 and monitoring and management equipment 102; wherein, power facilities 101 include several power devices or instruments, such as substations, transformers, or distribution stations; monitoring devices, such as cameras, microphones, and sensors, can be installed around the power devices or instruments, and these monitoring devices are connected to the monitoring and management equipment 102. In practical applications, the monitoring devices can collect data from the surrounding environment of the power devices or instruments (e.g., ...). Figure 1The environmental information of the target area 103 can be sound data, airflow data (such as airflow speed / fluctuation), and spatial data (such as distance / coordinates) around the power facility 101 or instrument, which can reflect the surrounding state of the power facility 101 or instrument. The collection range can extend to more than 1,000 meters around the power facility. Then, the collected environmental information is transmitted to the monitoring and management device 102. The monitoring and management device 102 can analyze the environmental information, monitor whether there are any illegally intruding drones around the power facility 101, and realize the interactive operation between the monitoring and management device 102 and the control segment of the illegally intruding drone to ensure the stable and safe operation of the power facility 101. The monitoring and management device 102 can be, but is not limited to, a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a quantum computing-based data processing logic device, an artificial intelligence (AI) processor, etc.

[0058] Those skilled in the art will understand that Figure 1 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0059] In one exemplary embodiment, such as Figure 2 As shown, a defense method for low-power grid drones is provided, which can be applied to... Figure 1 Taking the monitoring and management equipment in the middle as an example, the following is an explanation:

[0060] S201 collects audio data of the target area of ​​the power facility, monitors whether there is a target drone in the target area based on the audio data, and if the target drone is detected, controls the radar to scan the target area to obtain the scanning radar data, and controls the airflow sensor to collect the airflow speed information in the target area, and determines the current spatial position of the target drone based on the scanning radar data and airflow speed information.

[0061] The target area refers to the area surrounding the power facilities and key protection areas; the audio data refers to the mixed sound collected in the target area of ​​the power facilities, including low-frequency noise from transformers (such as a continuous 50dB roar), natural sounds (such as cicada chirping at 60dB), and drone propeller sounds.

[0062] In this embodiment, the drone monitoring device ensures coverage by deploying multiple directional microphone arrays in the target area of ​​power facilities. The system collects raw sound data (audio data) without blind spots, including transformer noise and natural sounds. It then processes the audio data, performing noise reduction and track splitting. The system monitors the target area for the presence of a target drone. If a target drone is detected, the monitoring device calculates the sound propagation delay based on the time difference of arrival of audio data from the microphone array. For example, 0.1ms corresponds to a 30-meter distance difference, and this initially determines the target drone's azimuth (e.g., northeast by north). The system uses a range (e.g., ±100 meters) and controls the radar to scan the target area based on the azimuth of the target UAV. This obtains the sweeping radar data, generates radar positioning coordinates, and controls the airflow sensor to collect airflow velocity information within the target area. The system then obtains the sound source height, i.e., the height of the target UAV. By combining the sweeping radar data and the airflow velocity information, the current spatial position of the target UAV can be determined.

[0063] S202, if it is determined that the current spatial location is within the first warning range, generate a warning message, obtain the communication frequency band of the target drone, and send the warning message to the target drone according to the communication frequency band; the warning message is used to warn the target drone to stay away from power facilities.

[0064] In this embodiment, the monitoring device continuously monitors the current spatial position of the target drone. If it finds that the current spatial position of the target drone is within the first warning range of the power facility target area (e.g., 1000 meters away from the power facility target area), it scans the communication frequency band of the target drone, identifies active channels through spectrum analysis, intercepts its communication protocol frame structure, and encapsulates the pre-generated warning information (e.g., "Warning! You have entered the power facility no-fly zone, please return immediately!"). The encapsulated warning information is then sent to the target drone, warning the target drone to immediately move away from the power facility.

[0065] The aforementioned low-power grid drone defense method, device, equipment, storage medium, and program product collects audio data of the target area of ​​the power facility, monitors the presence of a target drone within the target area based on the audio data, and, upon detection of a target drone, controls a radar to scan the target area to obtain scanning radar data. It also controls an airflow sensor to collect airflow velocity information within the target area, determining the current spatial location of the target drone based on the scanning radar data and airflow velocity information. If the current spatial location is determined to be within the first warning range, a warning message is generated, and the communication frequency band of the target drone is acquired and sent to the target drone based on the communication frequency band. The warning message serves to warn the target drone to move away from the power facility. This method achieves accurate spatial positioning of the target drone through scanning radar data and airflow velocity information, reducing positioning errors. Furthermore, by combining audio data, radar data, and airflow velocity information to jointly determine the presence of a drone in the target area, it reduces the false alarm rate and improves the energy utilization rate of warning signals.

[0066] In an exemplary embodiment, S201, "monitoring whether a target drone exists within the target area based on audio data," is as follows: Figure 3 As shown, it includes:

[0067] S301 performs noise reduction on the audio data to obtain processed audio information, and performs timbre analysis on the processed audio information to obtain multiple timbre sound data bars.

[0068] Among them, timbre analysis refers to the analysis method of separating and labeling the sound sources of UAVs through frequency domain features.

[0069] In this embodiment, the drone monitoring device ensures coverage by deploying multiple directional microphone arrays in the target area of ​​power facilities. Without blind spots, it collects raw sound data, such as transformer noise and natural sounds. It then performs noise reduction on the audio data and filters background noise using noise reduction algorithms. For example, it removes transformer noise with frequencies below 200Hz through spectral analysis, retaining high-frequency target data. Subsequently, it classifies the timbre of the processed high-frequency target data to obtain multiple timbre sound data bars.

[0070] S302, split the multiple timbre sound data bars into audio tracks, obtain the audio track data corresponding to the multiple timbre sound data bars, and extract the sound features of the audio track data.

[0071] In this embodiment, after obtaining multiple timbre sound data strips, the monitoring device can further decompose the timbre sound data strips. For example, non-negative matrix decomposition technology can be used to decompose the processed high-frequency target data into independent audio tracks. For instance, the processed high-frequency target data can be classified by timbre to identify three independent audio tracks: the first track is cicada chirping (frequency range 4kHz-6kHz), the second track is wind noise (frequency range 200Hz-500Hz), and the third track is propeller noise (frequency range 800Hz-1.2kHz). Optionally, each audio track corresponds to a sound source azimuth angle (accuracy ± The third audio track was extracted as an independent data stream, and its characteristics were further analyzed to determine whether a target drone exists in the target area.

[0072] S303, match the sound features with the features of audio information in the UAV audio database. If audio information matching the sound features exists in the UAV audio database, it is determined that a target UAV exists in the target area; if audio information matching the sound features does not exist in the UAV audio database, it is determined that a target UAV does not exist in the target area.

[0073] In this embodiment, after extracting the third audio track as an independent data stream, the monitoring device can further extract sound features and compare them with a sound feature database. The monitoring device can obtain drone flight recording data from publicly available channels (such as manufacturer websites, technical forums, and user-uploaded videos) via the network, covering consumer-grade (such as DJI and Parrot series drones), industrial-grade, and customized models. Simultaneously, it collects model parameters (such as the number of propellers and motor power) to establish a "model-sound" association tag. The acquired drone flight recording data is preprocessed, using Fourier transform to convert the time-domain signal to a frequency-domain signal, extracting the fundamental frequency range. For example, the propeller sound of the DJI Mavic Air 2 exhibits periodic pulses in the 900Hz to 1300Hz range, while the Parrot series drones show dense amplitude fluctuations between 700Hz and 1100Hz. Voiceprint analysis is performed on each flight recording to extract key features, such as those of the DJI Mavic Air 2. A pulse peak of 12 times per second was detected in the voiceprint of 2, labeled "DJI_MA2_P1", and its amplitude decay rate decreased by 5dB per millisecond, labeled "DJI_MA2_A1". Each feature is associated with a corresponding drone model, generating a corresponding "feature-model" query. Statistics show the frequency of drone models captured around the substation over the past year, revealing that DJI Mavic series drones account for 75%. Therefore, the system prioritizes these data entries at the top of the sound feature database. For example, "DJI_MA2_P1" and "DJI_MA2_A1" are placed at the top, while features of the less frequently used Parrot series drones are placed later. This establishes a drone sound feature database. The third audio track is compared and analyzed against the database. If a matching audio feature exists in the drone audio database, the presence of a target drone in the target area is confirmed. For example, the amplitude fluctuation frequency of the third audio track is 15 times per second, with peaks concentrated at 1kHz, matching "DJI_MA2_P1" in the sound feature database with a 92% match. The system then labels this audio track as "DJI Mavic Air 2 drone flight sound" and confirms the presence of a target drone in the target area. If no matching audio feature exists in the drone audio database, the absence of a target drone in the target area is confirmed.

[0074] In an exemplary embodiment, the phrase "determine the current spatial position of the target UAV based on the sweeping radar data and airflow information" in S201 above, such as... Figure 4 As shown, it includes:

[0075] S401 determines the two-dimensional coordinates of the target UAV based on scanning radar data.

[0076] In this embodiment, for the initial positioning of the target UAV by the monitoring device, a sweeping radar is used to obtain the reflection cutoff area and radial velocity of the target UAV, generating radar positioning coordinates to determine the two-dimensional coordinate position of the target UAV. For example, if the arrival time difference of the UAV's sound in the microphone array is 0.1 milliseconds, the system determines its orientation to be 30 degrees northeast of the substation. Subsequently, the radar performs a directional scan in this direction and detects a moving object 1.2 kilometers away from the substation, with a radar reflection signal strength of -50 dBm, thus determining the radar positioning data (coordinates X=123.5, Y=456.7).

[0077] S402 determines the airflow change cycle of the target UAV based on airflow velocity information.

[0078] The airflow change cycle refers to the periodic airflow fluctuations caused by the target UAV's propellers disturbing the air. Its frequency is directly related to the propeller speed. In this embodiment, the monitoring device can locate the target UAV by monitoring this cycle.

[0079] In this embodiment of the application, the monitoring device can use an airflow sensor to monitor airflow speed and airflow fluctuation intensity, and perform time-frequency fluctuation transformation (such as short-time Fourier transform) on the airflow fluctuation data to extract the dominant frequency component information. The airflow period information can be obtained by counting the reciprocal of the dominant frequency component information (e.g., if a fluctuation of 2Hz is detected, the period is 0.5 seconds). For example, if the airflow sensor detects that the airflow speed in the area is abnormal, 2 meters / second higher than the surrounding environment, and exhibits periodic fluctuations, then the airflow change period of the target UAV can be obtained as 0.5 seconds.

[0080] S403 uses a triangulation algorithm to determine its current spatial location based on its two-dimensional coordinates and the airflow cycle.

[0081] Among them, the triangulation algorithm refers to the calculation using the two-dimensional intersection of radar and airflow data.

[0082] In this embodiment, the monitoring device obtains the radar positioning data of the target UAV through scanning radar data, obtains the airflow change cycle information of the target UAV through airflow speed information, and calculates the current spatial position of the target UAV using a triangulation algorithm. For example, if the radar positioning data is X=123.5, Y=456.7 (relative to the origin of the power facility), and the airflow change cycle information is 0.5 seconds, then the intersection of the two is the UAV's position, at 116.3 degrees east longitude, 39.9 degrees north latitude, and an altitude of 120 meters. The positioning accuracy error of the target UAV's current position information obtained using the triangulation algorithm is less than 5 meters.

[0083] In an exemplary embodiment, the "sending warning information to the target drone according to the communication frequency band" in S202 above, such asFigure 5 As shown, it includes:

[0084] S501 encapsulates the warning information and generates an alarm data packet according to the communication protocol corresponding to the communication frequency band.

[0085] In this embodiment of the application, if the monitoring device detects that the current location of the target drone is within the first warning range, it will scan the communication frequency band of the target drone, obtain spectrum analysis to identify active channels (such as detecting that the drone is using the 2.4GHz frequency band to maintain a connection with the control terminal), intercept its communication protocol frame structure, and encapsulate the warning information (such as "Warning! You have entered the no-fly zone of power facilities, please return immediately!") into a communication structure that conforms to the communication protocol.

[0086] S502 sends alarm data packets to the target drone.

[0087] In this embodiment, the monitoring device encapsulates the warning information into a communication structure conforming to the communication protocol. It then sends the warning information to the target drone's control terminal by simulating the handshake protocol of the drone's controller, ensuring that the target drone's control terminal can receive pop-up or SMS notifications. Optionally, if the target drone uses 4G backhaul (such as industrial-grade models), the signal from the target drone's control terminal can be obtained through base station positioning, and an SMS warning can be sent. If the target drone uses a direct wireless network connection, the image transmission data stream can be directly injected to overlay the real-time screen display of the warning information, for example, detecting that the drone is using the 2.4GHz band to maintain a connection with the control terminal. The system generates a warning message: "Warning! You have entered a no-fly zone for power facilities, please return immediately!" and encapsulates this information into a data packet conforming to the 2.4GHz protocol. By simulating the handshake protocol of the drone's control terminal, the system successfully enters the communication channel and sends the warning information directly to the operator's mobile app. For example, the operator's mobile phone displays a pop-up warning, while a red warning box is superimposed on the drone's image transmission screen.

[0088] In one exemplary embodiment, Figure 4 Specific implementation methods of the scheme described in the embodiments, such as Figure 6 As shown, it includes:

[0089] S404 If it is detected that the target drone has not moved away from the power facility after a predetermined time period, the power parameters of the electromagnetic pulse transmitter are configured according to the standard strike power and the defense value of the target drone, and the configured electromagnetic pulse generator is controlled to generate electromagnetic pulses and transmit electromagnetic pulses to the target drone.

[0090] In this embodiment, the monitoring device continuously monitors the current movement trajectory of the UAV. If a warning message is issued but no response is received within 30 seconds, the system records its communication ID (e.g., "DJI_MA2_1234") and upgrades the handling measures. Based on the target UAV's model defense value and standard strike power, the system configures the power parameters of the electromagnetic pulse transmitter in the directional antenna, controls the configured electromagnetic pulse generator to generate electromagnetic pulses, and transmits the electromagnetic pulses to the target UAV.

[0091] In an exemplary embodiment, the "configuring the power parameters of the electromagnetic pulse transmitter according to the standard strike power and the defense value of the target UAV" in S404 above, such as Figure 7 As shown, it includes:

[0092] S601, obtains the standard strike power of the electromagnetic pulse transmitter.

[0093] In this embodiment of the application, the monitoring device obtains the standard strike power of the electromagnetic pulse transmitter from the preset defense equipment parameters, for example, the standard strike power is 100W.

[0094] S602 determines the defense value of the target drone based on its model and attack method.

[0095] In this embodiment of the application, after the monitoring device compares the current drone with the sound feature database, it can identify the model corresponding to the current drone, and call up the preset defense evaluation parameters according to the identified model of the current drone, and determine the defense value of the target drone in combination with the attack method (such as electromagnetic pulse or microwave).

[0096] S603 generates the power parameters of the electromagnetic pulse transmitter based on the standard strike power and the defense value of the target drone.

[0097] In this embodiment, when the monitoring device detects a target drone in the target area and the drone does not return within the warning period, it invokes the standard power of the defense equipment (e.g., 100W) and evaluates the target drone's defense value (e.g., electromagnetic interference resistance level) based on the drone model and attack method. The power is adjusted according to distance (e.g., reducing 100W to 80W for every kilometer) and power parameters for the electromagnetic pulse transmitter are generated. For example, if the drone does not change its course within 60 seconds after the warning (distance data remains 1 kilometer), the monitoring device retrieves preset attack parameters based on the drone model (e.g., DJI Mavic Air 2): electromagnetic pulse frequency of 5GHz, duration of 0.5 seconds. Based on the current distance, the system adjusts the standard power from 100W to 80W (to avoid excessive energy consumption) and generates the power parameters for the electromagnetic pulse transmitter.

[0098] In one exemplary embodiment, Figure 2 Specific implementation methods of the scheme described in the embodiments, such as Figure 8 As shown, it includes:

[0099] S203, if the current spatial location of the target drone is determined to be within the second warning range, a return-to-home command is generated, the communication frequency band of the target drone is obtained, and the return-to-home command is sent to the target drone according to the communication frequency band; the return-to-home command is used to control the target drone to move away from the power facilities.

[0100] In this embodiment, the monitoring device continuously monitors the current spatial position of the target drone. If it finds that the target drone's current spatial position is within a second warning range from the target area of ​​the power facility, and this second warning range is smaller than the first warning range (e.g., the first warning range is 1000 meters and the second warning range is 500 meters), the device encapsulates a pre-generated return-to-home command into an official firmware upgrade package and sends the command to the target drone via a communication frequency band. This controls the drone to automatically terminate its current mission, initiate the return-to-home procedure, climb to a safe altitude, and return to the takeoff point along a preset safe path. For example, when the drone enters the second warning range of 500 meters from the target area of ​​the power facility, the monitoring device generates a return-to-home code disguised as an official command (e.g., simulating a DJI official firmware upgrade package, version number V01.23), containing a forced return-to-home command. This command exploits a vulnerability in the drone's firewall, bypasses authentication, and is directly written into the flight control system. Upon receiving the command, the drone automatically terminates its current mission, initiates a return-to-home procedure, climbs to an altitude of 150 meters, and returns to its takeoff point along a preset safe path (e.g., a Parrot series drone adjusts its course within 10 seconds, increases its speed to 8 meters per second, and finally lands at its original takeoff coordinates, i.e., 116.2 degrees east longitude and 39.8 degrees north latitude, without intervention from the control terminal). Optionally, if the target drone does not execute the return-to-home command and continues to approach the power facility target area, the destruction procedure is initiated. This can be done by using a camera to identify the target drone's external features (e.g., propeller position coordinates), distinguishing between the flight strike location (propeller) and the storage strike location (chip), and adjusting the standard strike power according to defense values ​​(e.g., propeller protection level), generating both kill power and destruction power. The kill power is used to damage the propeller motor, and the destruction power is used to directionally damage the storage chip and erase the data. For example, if the target drone refuses to return and continues to approach to within 300 meters of the power facility target area, the destruction procedure is initiated based on the target drone model (e.g., DJI Mavic Air). 2) Calculate the destruction power: Increase the electromagnetic pulse frequency to 10GHz and adjust the power to 200W. Simultaneously, capture the target drone's appearance using an optical camera to identify its propeller (attack position A) and memory chip location (attack position B). For example, if the propeller is located at the top of the fuselage (X=0, Y=0, Z=5cm) and the memory chip is located at the bottom (X=0, Y=0, Z=-3cm), the monitoring device will emit high-energy microwaves twice: the first time at the propeller (power 150W), causing the motor to overheat and stop; the second time at the memory chip (power 50W), erasing the flight log and captured data.

[0101] In summary, based on all the above embodiments, a method for defending against low-power grid drones is also provided, such as... Figure 9 As shown, the method includes:

[0102] S701, collects audio data from the target area of ​​power facilities;

[0103] S702 performs noise reduction on the audio data to obtain processed audio information, and performs timbre analysis on the processed audio information to obtain multiple timbre sound data bars;

[0104] S703 splits multiple timbre sound data bars into audio tracks, obtains the audio track data corresponding to the multiple timbre sound data bars, and extracts the sound features of the audio track data;

[0105] S704: Match the sound features with the features of audio information in the UAV audio database. If audio information matching the sound features exists in the UAV audio database, it is determined that a target UAV exists in the target area; if audio information matching the sound features does not exist in the UAV audio database, it is determined that a target UAV does not exist in the target area.

[0106] S705, when a target drone is detected in the target area, determines the two-dimensional coordinate position of the target drone based on the scanning radar data;

[0107] S706 determines the airflow change cycle of the target UAV based on airflow velocity information;

[0108] S707 uses a triangulation algorithm to determine its current spatial location based on two-dimensional coordinates and airflow change cycles.

[0109] S708, upon determining that the current spatial location is within the first warning range, generates a warning message and acquires the communication frequency band of the target UAV;

[0110] S709 encapsulates the warning information and generates an alarm data packet according to the communication protocol corresponding to the communication frequency band;

[0111] S710 sends alarm data packets to the target drone;

[0112] S711: If the target drone is detected to have not moved away from the power facility after a predetermined time period, the strike parameters and strike method of the electromagnetic pulse transmitter are obtained.

[0113] S712 determines the defense value of a target drone based on its model and attack method;

[0114] The S713 configures the power parameters of the electromagnetic pulse transmitter according to the standard strike power and the defense value of the target drone, controls the configured electromagnetic pulse generator to generate electromagnetic pulses, and transmits the electromagnetic pulses to the target drone.

[0115] S714, upon determining that the target drone's current spatial location is within the second warning range, generates a return-to-home command, acquires the target drone's communication frequency band, and sends the return-to-home command to the target drone according to the communication frequency band; the return-to-home command is used to control the target drone to move away from power facilities.

[0116] The methods described in each of the above steps have been described in the foregoing embodiments. For details, please refer to the foregoing descriptions. They will not be repeated here.

[0117] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0118] Based on the same inventive concept, this application also provides a defensive device for implementing the aforementioned defense method for low-power grid drones. The solution provided by this device is similar to the implementation described in the above method; therefore, the specific limitations in one or more embodiments of the low-power grid drone defense device provided below can be found in the limitations of the low-power grid drone defense method described above, and will not be repeated here.

[0119] In one exemplary embodiment, such as Figure 10 As shown, a defense device for a low-power grid-connected drone is provided, comprising: a monitoring module, a warning module, and an attack module, wherein:

[0120] The monitoring module 801 is used to collect audio data of the target area of ​​the power facility, monitor whether there is a target drone in the target area based on the audio data, and control the radar to scan the target area to obtain the scanning radar data when the target drone is detected, and control the airflow sensor to collect the airflow speed information in the target area, and determine the current spatial position of the target drone based on the scanning radar data and the airflow speed information.

[0121] The warning module 802 is used to generate warning information and obtain the communication frequency band of the target UAV when it is determined that the current spatial location is within the first warning range, and to send the warning information to the target UAV according to the communication frequency band; the warning information is used to warn the target UAV to stay away from power facilities.

[0122] In one embodiment, the monitoring module 801 includes:

[0123] The first processing unit is used to denoise the audio data to obtain the processed audio information, and to perform timbre analysis on the processed audio information to obtain multiple timbre sound data bars.

[0124] The second processing unit is used to split multiple timbre sound data bars into audio tracks, obtain the audio track data corresponding to the multiple timbre sound data bars, and extract the sound features of the audio track data.

[0125] The third processing unit is used to match the sound features with the features of audio information in the UAV audio database. If there is audio information in the UAV audio database that matches the sound features, it is determined that there is a target UAV in the target area; if there is no audio information in the UAV audio database that matches the sound features, it is determined that there is no target UAV in the target area.

[0126] In one embodiment, the third processing unit includes:

[0127] The first subunit is used to determine the two-dimensional coordinate position of the target UAV based on the scanning radar data;

[0128] The second subunit is used to determine the airflow change cycle of the target UAV based on airflow velocity information;

[0129] The third sub-unit is used to determine the current spatial position based on the two-dimensional coordinate position and the airflow change cycle using a triangulation algorithm.

[0130] In one embodiment, the warning module 802 includes:

[0131] The communication subunit is used to encapsulate warning information and generate alarm data packets according to the communication protocol corresponding to the communication frequency band.

[0132] The data subunit is used to send alarm data packets to the target drone.

[0133] In one embodiment, the aforementioned third subunit is specifically configured to, if it is detected that the target drone has not moved away from the power facility after a predetermined time period, configure the power parameters of the electromagnetic pulse transmitter according to the standard strike power and the defense value of the target drone, control the configured electromagnetic pulse generator to generate electromagnetic pulses, and transmit the electromagnetic pulses to the target drone.

[0134] In one embodiment, the aforementioned third subunit is further specifically used to obtain the standard strike power of the electromagnetic pulse transmitter; determine the defense value of the target drone based on the model and strike method of the target drone; and generate the power parameters of the electromagnetic pulse transmitter based on the standard strike power and the defense value of the target drone.

[0135] In one embodiment, the defense device for the aforementioned low-power grid drone further includes:

[0136] The strike module 803 is used to generate a return-to-home command when it is determined that the current spatial location of the target UAV is within the second warning range, obtain the communication frequency band of the target UAV, and send the return-to-home command to the target UAV according to the communication frequency band; the return-to-home command is used to control the target UAV to move away from the power facilities.

[0137] The various modules in the aforementioned low-power grid-connected drone defense device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0138] In one exemplary embodiment, a defense device for a low-power grid drone is provided. This defense device can be a terminal, and its internal structure diagram can be as follows: Figure 11 As shown.

[0139] The defensive device of this low-power grid-connected drone includes a processor, memory, input / output interfaces, a communication interface, a display unit, and an input device. The processor, memory, and input / output interfaces are connected via a system bus, as are the communication interface, display unit, and input device. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides the environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The input / output interfaces are used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When executed by the processor, the computer program implements a defect identification method for gas-insulated equipment. The display unit of the low-power grid-connected drone's defensive device forms a visually visible image and can be a display screen, projection device, or virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen, and the output device of the defense device of this low-power grid drone can be a touch layer covering the display screen.

[0140] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0141] The system collects audio data of the target area of ​​the power facility, monitors whether there is a target drone in the target area based on the audio data, and controls the radar to scan the target area to obtain the scanning radar data, and controls the airflow sensor to collect the airflow speed information in the target area. Based on the scanning radar data and airflow speed information, the system determines the current spatial position of the target drone.

[0142] If the current spatial location is determined to be within the first warning range, a warning message is generated, the communication frequency band of the target drone is obtained, and the warning message is sent to the target drone according to the communication frequency band; the warning message is used to warn the target drone to stay away from power facilities.

[0143] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0144] The audio data is denoised to obtain processed audio information, and the processed audio information is analyzed for timbre to obtain multiple timbre sound data bars.

[0145] The audio tracks of multiple timbre and sound data bars are split into audio tracks to obtain the audio track data corresponding to the multiple timbre and sound data bars, and the sound features of the audio track data are extracted.

[0146] The sound features are matched with the features of audio information in the drone audio database. If audio information matching the sound features exists in the drone audio database, it is determined that a target drone exists in the target area; if no audio information matching the sound features exists in the drone audio database, it is determined that a target drone does not exist in the target area.

[0147] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0148] The two-dimensional coordinates of the target UAV are determined based on the data from the scanning radar.

[0149] Determine the airflow change cycle of the target UAV based on airflow velocity information;

[0150] Using a triangulation algorithm, the current spatial location is determined based on the two-dimensional coordinate position and the airflow change cycle.

[0151] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0152] The warning information is encapsulated according to the communication protocol corresponding to the communication frequency band, and an alarm data packet is generated.

[0153] Send alarm data packets to the target drone.

[0154] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0155] If the target drone is detected not to have moved away from the power facility after a predetermined time period, the power parameters of the electromagnetic pulse transmitter are configured according to the standard strike power and the target drone's defense value. The configured electromagnetic pulse generator is then controlled to generate an electromagnetic pulse and transmit the electromagnetic pulse to the target drone.

[0156] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0157] Obtain the standard strike power of the electromagnetic pulse transmitter;

[0158] Determine the defense value of the target drone based on its model and attack method;

[0159] The power parameters of the electromagnetic pulse transmitter are generated based on the standard strike power and the defense value of the target drone. In one embodiment, the processor, while executing the computer program, also performs the following steps:

[0160] Once the target drone's current spatial location is determined to be within the second warning range, a return-to-home command is generated, the target drone's communication frequency band is obtained, and the return-to-home command is sent to the target drone according to the communication frequency band; the return-to-home command is used to control the target drone to move away from power facilities.

[0161] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0162] The system collects audio data of the target area of ​​the power facility, monitors whether there is a target drone in the target area based on the audio data, and controls the radar to scan the target area to obtain the scanning radar data, and controls the airflow sensor to collect the airflow speed information in the target area. Based on the scanning radar data and airflow speed information, the system determines the current spatial position of the target drone.

[0163] If the current spatial location is determined to be within the first warning range, a warning message is generated, the communication frequency band of the target drone is obtained, and the warning message is sent to the target drone according to the communication frequency band; the warning message is used to warn the target drone to stay away from power facilities.

[0164] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0165] The audio data is denoised to obtain processed audio information, and the processed audio information is analyzed for timbre to obtain multiple timbre sound data bars.

[0166] The audio tracks of multiple timbre and sound data bars are split into audio tracks to obtain the audio track data corresponding to the multiple timbre and sound data bars, and the sound features of the audio track data are extracted.

[0167] The sound features are matched with the features of audio information in the drone audio database. If audio information matching the sound features exists in the drone audio database, it is determined that a target drone exists in the target area; if no audio information matching the sound features exists in the drone audio database, it is determined that a target drone does not exist in the target area.

[0168] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0169] The two-dimensional coordinates of the target UAV are determined based on the data from the scanning radar.

[0170] Determine the airflow change cycle of the target UAV based on airflow velocity information;

[0171] Using a triangulation algorithm, the current spatial location is determined based on the two-dimensional coordinate position and the airflow change cycle.

[0172] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0173] The warning information is encapsulated according to the communication protocol corresponding to the communication frequency band, and an alarm data packet is generated.

[0174] Send alarm data packets to the target drone.

[0175] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0176] If the target drone is detected not to have moved away from the power facility after a predetermined time period, the power parameters of the electromagnetic pulse transmitter are configured according to the standard strike power and the target drone's defense value. The configured electromagnetic pulse generator is then controlled to generate an electromagnetic pulse and transmit the electromagnetic pulse to the target drone.

[0177] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0178] Obtain the standard strike power of the electromagnetic pulse transmitter;

[0179] Determine the defense value of the target drone based on its model and attack method;

[0180] The power parameters of the electromagnetic pulse transmitter are generated based on the standard strike power and the defense value of the target drone.

[0181] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0182] Once the target drone's current spatial location is determined to be within the second warning range, a return-to-home command is generated, the target drone's communication frequency band is obtained, and the return-to-home command is sent to the target drone according to the communication frequency band; the return-to-home command is used to control the target drone to move away from power facilities.

[0183] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps:

[0184] The system collects audio data of the target area of ​​the power facility, monitors whether there is a target drone in the target area based on the audio data, and controls the radar to scan the target area to obtain the scanning radar data, and controls the airflow sensor to collect the airflow speed information in the target area. Based on the scanning radar data and airflow speed information, the system determines the current spatial position of the target drone.

[0185] If the current spatial location is determined to be within the first warning range, a warning message is generated, the communication frequency band of the target drone is obtained, and the warning message is sent to the target drone according to the communication frequency band; the warning message is used to warn the target drone to stay away from power facilities.

[0186] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0187] The audio data is denoised to obtain processed audio information, and the processed audio information is analyzed for timbre to obtain multiple timbre sound data bars.

[0188] The audio tracks of multiple timbre and sound data bars are split into audio tracks to obtain the audio track data corresponding to the multiple timbre and sound data bars, and the sound features of the audio track data are extracted.

[0189] The sound features are matched with the features of audio information in the drone audio database. If audio information matching the sound features exists in the drone audio database, it is determined that a target drone exists in the target area; if no audio information matching the sound features exists in the drone audio database, it is determined that a target drone does not exist in the target area.

[0190] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0191] The two-dimensional coordinates of the target UAV are determined based on the data from the scanning radar.

[0192] Determine the airflow change cycle of the target UAV based on airflow velocity information;

[0193] Using a triangulation algorithm, the current spatial location is determined based on the two-dimensional coordinate position and the airflow change cycle.

[0194] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0195] The warning information is encapsulated according to the communication protocol corresponding to the communication frequency band, and an alarm data packet is generated.

[0196] Send alarm data packets to the target drone.

[0197] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0198] If the target drone is detected not to have moved away from the power facility after a predetermined time period, the power parameters of the electromagnetic pulse transmitter are configured according to the standard strike power and the target drone's defense value. The configured electromagnetic pulse generator is then controlled to generate an electromagnetic pulse and transmit the electromagnetic pulse to the target drone.

[0199] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0200] Obtain the standard strike power of the electromagnetic pulse transmitter;

[0201] Determine the defense value of the target drone based on its model and attack method;

[0202] The power parameters of the electromagnetic pulse transmitter are generated based on the standard strike power and the defense value of the target drone.

[0203] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0204] Once the target drone's current spatial location is determined to be within the second warning range, a return-to-home command is generated, the target drone's communication frequency band is obtained, and the return-to-home command is sent to the target drone according to the communication frequency band; the return-to-home command is used to control the target drone to move away from power facilities.

[0205] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0206] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0207] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0208] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A low-power grid-based drone defense method, characterized in that, The method includes: The system collects audio data of the target area of ​​the power facility, monitors whether there is a target drone in the target area based on the audio data, and if the target drone is detected, controls the radar to scan the target area to obtain scanning radar data. It also controls the airflow sensor to collect airflow speed information in the target area and determines the current spatial position of the target drone based on the scanning radar data and the airflow speed information. If the current spatial location is determined to be within the first warning range, a warning message is generated, and the communication frequency band of the target drone is obtained, and the warning message is sent to the target drone according to the communication frequency band; the warning message is used to warn the target drone to stay away from the power facility.

2. The method according to claim 1, characterized in that, The step of monitoring whether a target drone exists within the target area based on the audio data includes: The audio data is denoised to obtain processed audio information, and the processed audio information is analyzed for timbre to obtain multiple timbre sound data bars. The multiple timbre sound data bars are split into audio tracks to obtain the audio track data of the sounds corresponding to the multiple timbre sound data bars, and the sound features of the audio track data are extracted. The sound features are matched with the features of audio information in the drone audio database. If audio information matching the sound features exists in the drone audio database, it is determined that the target drone exists in the target area; if audio information matching the sound features does not exist in the drone audio database, it is determined that the target drone does not exist in the target area.

3. The method according to claim 2, characterized in that, Determining the current spatial position of the target UAV based on the scanning radar data and the airflow speed information includes: The two-dimensional coordinates of the target UAV are determined based on the scanning radar data. The airflow change cycle of the target UAV is determined based on the airflow velocity information; The current spatial position is determined using a triangulation algorithm based on the two-dimensional coordinates and the airflow change cycle.

4. The method according to claims 1-3, characterized in that, Sending the warning information to the target drone according to the communication frequency band includes: The warning information is encapsulated according to the communication protocol corresponding to the communication frequency band to generate an alarm data packet; The alarm data packet is sent to the target drone.

5. The method according to claims 1-3, characterized in that, The method further includes: If the target drone is detected not to have moved away from the power facility after a predetermined time period, the power parameters of the electromagnetic pulse transmitter are configured according to the standard strike power and the defense value of the target drone, and the configured electromagnetic pulse generator is controlled to generate an electromagnetic pulse and transmit the electromagnetic pulse to the target drone.

6. The method according to claim 5, characterized in that, The method further includes: Obtain the standard strike power of the electromagnetic pulse transmitter; The defense value of the target drone is determined based on its model and attack method. The power parameters of the electromagnetic pulse transmitter are generated based on the standard strike power and the defense value of the target drone.

7. The method according to claim 1, characterized in that, The method further includes: If the current spatial location of the target drone is determined to be within the second warning range, a return-to-home command is generated, the communication frequency band of the target drone is obtained, and the return-to-home command is sent to the target drone according to the communication frequency band; the return-to-home command is used to control the target drone to move away from the power facility.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

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