An integrated interference base station method and system for low-altitude drone safety issues

Abstract

The present invention discloses an integrated interference base station method and system for low-altitude safety issues of unmanned aerial vehicles (UAVs), and relates to the technical field of low-altitude safety issues. The method of the present invention includes UAV flight frequency band analysis, base station interference perception evaluation, base station perception frequency modulation analysis, and base station interference decision-making. By analyzing the frequency band changes of the UAV during flight, it is understood whether the UAV adopts frequency modulation technology, and the impact of the frequency band changes on the accuracy of the base station's perception of the UAV flight in the target area is analyzed, so as to flexibly respond to the changes of the UAV and predict the frequency modulation mode corresponding to the UAV in the target area, thereby ensuring the accuracy and effectiveness of perception, efficiently identifying the current UAV's flight purpose, and taking targeted interference measures in time to prevent the safety factors in the area from being violated or leaked, thereby achieving comprehensive and effective protection of safety and privacy in the area and reducing the risk of privacy leakage.

Description

Technical Field

[0001] The present invention relates to the technical field of low-altitude safety issues, and in particular to a communication-jamming integrated base station method and system for low-altitude safety issues of unmanned aerial vehicles (UAVs). Background Art

[0002] With the widespread application of drones, the potential safety hazards they pose are coming one after another. The frequent occurrence of illegal flights and privacy violations urgently needs to be dealt with efficiently to prevent the leakage of important secrets and further protect privacy security. By monitoring the start-up flight of the drone, we can understand whether the current drone is a regular flight. If it is not a drone using frequency modulation technology, it is necessary to crack the corresponding frequency modulation of the drone to quickly grasp its whereabouts, so as to take interference measures in time to prevent the occurrence of illegal drone flights and protect regional safety and privacy.

[0003] Existing technologies such as the invention patent application with announcement number CN119562265A discloses an integrated communication and interference base station method and system for low-altitude safety issues of drones. The present invention relates to the fields of communications / drone fields / safety supervision, and in particular to a method and system for achieving low-altitude wireless signal coverage using wireless communication network base stations, including communication signals and interference signals, to achieve low-altitude safety management of drones. "Low, slow, and small" drones have become the main users of low-altitude airspace in my country, but safety supervision of drone flights in low-altitude airspace is difficult to achieve. The present invention integrates the function of an interference signal generator into a base station (an integrated communication and interference base station), and through the widespread deployment of a base station network system, can economically achieve effective coverage of communication / interference signals in restricted areas, give restricted areas obvious electromagnetic signal characteristics, and thus effectively prevent illegal flying drones from intruding. At the same time, it realizes the management and control of legally flying networked drones through networked communications, providing a technical means for electronic management of drone low-altitude flights.

[0004] Regarding the above scheme, there are the following technical problems: the above invention mainly integrates the interference signal generator function into the base station, and through the wide deployment of the network system, it economically realizes effective coverage of the communication interference signal in the restricted area, and gives the restricted area obvious electromagnetic signal characteristics, thereby effectively preventing the base station from illegally flying drones invading. At the same time, it realizes the control of legally flying networked drones through networked communication, and provides a technical means for the electronic management of low-altitude drone flights. It does not analyze from the perspective of if the drone uses frequency modulation technology, and does not obtain the corresponding frequency band information of the drone in the target area during the flight. Therefore, it is impossible to know whether the frequency band change of the drone in the target area during the flight is a normal change. It is also impossible to analyze the frequency band change of the drone during the flight. The impact of the frequency band change on the accuracy of the base station's perception of the drone flight in the target area will result in blurred drone flight monitoring, and it is impossible to effectively protect the safety and privacy in the area. Summary of the Invention

[0005] In response to the above-mentioned technical deficiencies, the purpose of the present invention is to provide an integrated interference base station method and system for low-altitude safety issues of drones.

[0006] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides an integrated interference base station method and system for low-altitude safety issues of drones, including: Step 1, drone flight frequency band analysis: obtaining the corresponding frequency band information of drones in the target area during flight, and then analyzing the frequency band changes of drones in the target area during flight.

[0007] Step 2: Base station interference perception assessment: Based on the frequency band changes of the drone during flight, analyze the impact of frequency band changes on the accuracy of base station perception of drone flight within the target area.

[0008] Step 3: Base station perception frequency modulation analysis: Obtain the frequency modulation data corresponding to the drone within the base station perception acquisition time, and based on the impact of frequency band changes on the accuracy of base station perception of drone flight in the target area, predict the frequency modulation pattern corresponding to the drone in the target area.

[0009] Step 4: Base station interference decision: Obtain the echo signal data of the drone during flight, and then analyze whether the drone in the target area is an illegal flight, and analyze and determine the interference measures of the base station corresponding to the drone in the target area.

[0010] In the second aspect, the present invention provides an integrated interference base station system for low-altitude safety issues of drones, including: a drone flight frequency band analysis module, which is used to obtain the corresponding frequency band information of drones in the target area during flight, and then analyze the frequency band changes of drones in the target area during flight.

[0011] The base station interference perception assessment module is used to analyze the impact of frequency band changes on the accuracy of base station perception of drone flights within the target area based on the frequency band changes of the drone during flight.

[0012] The base station perception frequency modulation analysis module is used to obtain the frequency modulation data corresponding to the drone within the base station perception collection time, and based on the impact of frequency band changes on the accuracy of drone flight in the base station perception target area, predict the frequency modulation pattern corresponding to the drone in the target area.

[0013] The base station interference decision module is used to obtain the echo signal data of the drone during flight, and then analyze whether the drone in the target area is an illegal flight, and analyze and obtain the interference measures of the base station corresponding to the drone in the target area.

[0014] Compared with the prior art, the beneficial effects of the present invention are: 1. The present invention provides an integrated interference base station method and system for low-altitude safety issues of drones. By analyzing the frequency band changes of drones during flight, it is understood whether the drone uses frequency modulation technology, and the impact of frequency band changes on the accuracy of base station perception of drone flights in the target area is analyzed, so as to flexibly respond to changes in drones and predict the frequency modulation mode corresponding to drones in the target area, thereby ensuring the accuracy and effectiveness of perception, efficiently identifying the current flight purpose of the drone, and taking targeted interference measures in time to prevent the safety factors in the area from being violated or leaked, thereby achieving comprehensive and effective protection of safety and privacy in the area, reducing the risk of privacy leakage, making illegal flying nowhere to hide, and improving safety in the area.

[0015] 2. Obtain the corresponding frequency band information of the drone during flight in the target area, and then analyze the frequency band changes of the drone during flight in the target area to see whether the current drone uses frequency modulation technology, providing effective data support for subsequent analysis of the drone's motivation. Based on the frequency band changes of the drone during flight, analyze the impact of frequency band changes on the accuracy of the base station's perception of the drone flight in the target area, and then understand the current degree of limitation of the base station's perception of the drone, so as to make efficient response adjustments and ensure the continuous online of the base station's perception function.

[0016] 3. Obtain the frequency modulation data corresponding to the drone within the base station's sensing and collection time, and based on the impact of frequency band changes on the base station's perception of the accuracy of drone flights in the target area, predict the frequency modulation pattern corresponding to the drone in the target area, so that the base station can accurately monitor the drone, thereby reducing the probability of drones obtaining privacy and the risk of leakage, and further ensuring privacy security in the area.

[0017] 4. Obtain the echo signal data of the drone during flight, and then analyze whether the drone in the target area is an illegal flight phenomenon, and analyze the interference measures of the base station corresponding to the drone in the target area, so that the existing safety hazards can be dealt with in a timely and effective manner, making illegal flights nowhere to hide and improving the safety in the area. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 The figure is a flow chart of the steps for implementing the method of the present invention.

[0020] Figure 2 This is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0022] See also Figure 1 As shown, the interference-integrated base station method for low-altitude drone safety issues includes: Step 1, drone flight frequency band analysis: obtaining the corresponding frequency band information of drones in the target area during flight, and then analyzing the frequency band changes of drones in the target area during flight.

[0023] It should be noted that frequency modulation technology will cause the frequency of drone signals to change over time. For example, when the base station begins to detect the frequency characteristics of the drone, it starts with continuous frequency modulation. When the drone turns on the frequency modulation technology, it changes to discrete frequency hopping.

[0024] It should be noted that when a drone appears in the target area, the integrated communication and interference base station will automatically perceive the drone accordingly. The technical algorithm based on base station integration will automatically convert the spectrum data of the drone in the target area during flight into the spectrum time domain, and obtain the spectrum distribution diagram of the drone in the target area during flight. The signal frequency points at the beginning and in several time periods in the spectrum distribution diagram are observed to obtain the initial signal fluctuation type, and the initial signal bandwidth and flight signal bandwidth in several time periods are extracted from the spectrum distribution diagram; the initial perception speed, flight perception rate and perception data volume corresponding to the base station when perceiving the drone are obtained from the corresponding database of the base station.

[0025] In a specific embodiment of the present invention, the frequency band information includes the initial signal fluctuation type, the flight signal bandwidth, the initial perception speed, the flight perception rate and the perception data volume.

[0026] In a specific embodiment of the present invention, the frequency band changes of the drone in the target area during flight are analyzed. The specific analysis process is as follows: by establishing a frequency band evaluation model and a base station perception evaluation model, the frequency band changes of the drone in the target area during flight are analyzed. The frequency band evaluation model formula is: , The drone is flying in the target area The frequency band changes corresponding to the moment, and is the initial signal fluctuation type and flight signal bandwidth corresponding to the UAV in the target area during flight. is an exponential function, is a natural constant, For the flight time of the drone, The flight time of the drone is the time from the initial takeoff to the The corresponding duration between moments is .

[0027] Through the base station perception evaluation model, its expression formula is: , For the base station to sense the drones flying in the target area The corresponding perceptual response at each moment, 、 and The initial perception speed, flight perception rate and perception data volume corresponding to the UAV in the target area perceived by the base station during flight. is the cosine function, The value of .

[0028] Step 2: Base station interference perception assessment: Based on the frequency band changes of the drone during flight, analyze the impact of frequency band changes on the accuracy of base station perception of drone flight within the target area.

[0029] In a specific embodiment of the present invention, the influence of the frequency band change on the accuracy of the base station sensing the flight of the UAV in the target area is analyzed. The specific analysis process is as follows: The frequency band changes corresponding to the time and the base station senses the drone flying in the target area The perceptual response corresponding to each moment is calculated using the formula: , get the change of the perception function of the base station corresponding to the UAV frequency band , 、 are the set frequency band change weight factor and function change weight factor respectively. , .

[0030] It should be noted that and It is based on the existing technology in the current related fields and is set according to the large amount of data and influencing factors in the drone scene. and The value of .

[0031] Obtain the corresponding frequency band information of the drone in the target area during flight, and then analyze the frequency band changes of the drone in the target area during flight to see whether the current drone uses frequency modulation technology, providing effective data support for the subsequent analysis of the drone's motivation. Based on the frequency band changes of the drone during flight, analyze the impact of the frequency band changes on the accuracy of the base station's perception of the drone flight in the target area, and then understand the current degree of limitation of the base station's perception of the drone, so as to make efficient response adjustments and ensure the continuous online of the base station's perception function.

[0032] Step 3: Base station perception frequency modulation analysis: Obtain the frequency modulation data corresponding to the drone within the base station perception acquisition time, and based on the impact of frequency band changes on the accuracy of base station perception of drone flight in the target area, predict the frequency modulation pattern corresponding to the drone in the target area.

[0033] It should be noted that the frequency modulation data corresponding to the drone within the base station sensing collection time under the preset collection number of times is extracted: the starting collection time period of the frequency modulation data corresponding to the drone in each collection time period corresponding to the base station is obtained, the starting collection time period is recorded as the first collection, and based on the preset collection number of times, and so on, the frequency modulation data corresponding to the drone within the collection time corresponding to the base station under the preset collection number of times is obtained; for example, if the preset collection number of times is 5 times, the change data corresponding to the drone in 5 collection time periods are extracted from each collection time period corresponding to the base station, and the change data corresponding to the drone in the extracted 5 collection time periods are recorded as the frequency modulation data corresponding to the drone.

[0034] It should be noted that the preset number of collection times for the drone corresponding to the frequency band change is set by professional base station personnel.

[0035] In a specific embodiment of the present invention, the frequency modulation data corresponding to the UAV within the base station perception and collection time is obtained, and the specific acquisition process is as follows: based on the frequency band changes of the UAV during the flight in the target area, the time interval from the initial frequency band change to the secondary frequency band change and the time interval from the secondary frequency band change to the tertiary frequency band change of the UAV during the flight are extracted respectively. According to the extracted frequency band change time intervals, each collection time period is set to obtain the change data corresponding to the UAV in each collection time period of the base station, and based on the preset number of collection times under the corresponding frequency band change of the UAV, the frequency modulation data corresponding to the UAV within the base station perception and collection time under the preset number of collection times is extracted, including the frequency switching interval, the frequency sequence occurrence frequency and the signal-to-noise ratio.

[0036] In a specific embodiment of the present invention, the prediction obtains the frequency modulation pattern corresponding to the drone in the target area, and the specific prediction process is as follows: based on the influence of frequency band changes on the accuracy of the base station's perception of the drone flight in the target area, the filling value under the influence of accuracy is obtained, and the frequency modulation data corresponding to the drone within the base station's perception and acquisition time are superimposed with the data values of the filling value under the influence of accuracy to obtain the superimposed adjusted frequency switching interval, adjusted frequency sequence occurrence frequency and adjusted signal-to-noise ratio.

[0037] The adjustment frequency switching interval corresponding to the UAV within the base station sensing and acquisition time is compared with the frequency modulation frequency switching interval under each sequential frequency modulation pattern set stored in the database. If the adjustment frequency switching interval corresponding to the UAV within the base station sensing and acquisition time is the same as the frequency modulation frequency switching interval under a certain sequential frequency modulation pattern set stored in the database, the next frequency modulation interval of the frequency modulation frequency switching interval under the sequential frequency modulation pattern set is used as the predicted frequency modulation data, and the next frequency modulation sequence and the next frequency modulation signal-noise are obtained by analogy in this way.

[0038] The frequency modulation pattern corresponding to the UAV in the target area is constructed according to the next frequency modulation interval, the next frequency modulation sequence and the next frequency modulation signal noise, so as to predict the frequency modulation pattern corresponding to the UAV in the target area.

[0039] It should be noted that based on the impact of frequency band changes on the accuracy of base station perception of drone flights in the target area, the filling value for drone prediction is obtained: for example, the base station perception level sets the frequency modulation data monitored by the base station when perceiving drone flight to be accurate to two decimal places. If the current monitored data is 5.5, it is one place short of the set perception accuracy. Then, 0.05 is superimposed based on the value after the decimal point of the current monitoring data, and the superimposed data is recorded as 5.55. If the current monitored data is 5, 0.55 is superimposed based on the value after the decimal point of the current monitoring data. In this way, the missing value of the accuracy of the impact of frequency band changes on drone flights in the base station perception target area is filled.

[0040] It should be noted that each sequential frequency modulation mode set is achieved by transforming and recording the frequency modulation data of each time the base station senses the presence of a drone using frequency modulation technology.

[0041] The frequency modulation data corresponding to the drone within the base station's perception and collection time is obtained, and based on the impact of frequency band changes on the accuracy of the base station's perception of drone flights in the target area, the frequency modulation pattern corresponding to the drone in the target area is predicted, enabling the base station to accurately monitor the drone, thereby reducing the probability of drones obtaining privacy and the risk of leakage, and further ensuring privacy security in the area.

[0042] Step 4: Base station interference decision: Obtain the echo signal data of the drone during flight, and then analyze whether the drone in the target area is an illegal flight, and analyze and determine the interference measures of the base station corresponding to the drone in the target area.

[0043] In a specific embodiment of the present invention, the echo signal data of the drone during flight is obtained, and then the drone in the target area is analyzed to determine whether it is an illegal flight. The specific analysis process is as follows: based on the predicted frequency modulation mode corresponding to the drone in the target area, the base station will switch to the same monitoring frequency band according to the frequency modulation mode corresponding to the drone in the target area, and obtain the echo signal data of the drone during flight, including trajectory data, speed data and distance retraction data, and obtain the trajectory data safety interval, speed data safety interval and distance retraction safety interval corresponding to the historical normal flight drones in the target area from the database, and then obtain the evaluation result value of the corresponding flying drone in the target area. If the evaluation result value of the corresponding flying drone in the target area is 1, it is determined that the drone in the target area does not constitute an illegal flight phenomenon and is in safe flight, and the drone in the target area will continue to be monitored. If the evaluation result value of the corresponding flying drone in the target area is 0, it is determined that the drone in the target area constitutes an illegal flight phenomenon and is in dangerous flight, and interference measures will be taken against the drone in the target area.

[0044] It should be noted that the trajectory data safety interval, speed data safety interval and distance indentation safety interval corresponding to the historical normal flight of drones in the target area are set by professional base station personnel; the trajectory data safety interval is a reference value used to determine whether the corresponding flying drone in the current target area constitutes a black flight. The speed data safety interval and distance indentation safety interval have the same function as the trajectory data safety interval, so they are not repeated here.

[0045] In a specific embodiment of the present invention, the analysis obtains the state value corresponding to the gate releasing flood water. The specific analysis process is as follows: by calculating the formula: , The first Echo signal data, The first time a drone flies in the target area The safety interval of the echo signal data, , The number of the echo signal data.

[0046] It should be noted that There are three echo signal data respectively representing the trajectory data, speed data and distance indentation data in the echo signal data, and the three echo signal data correspond to corresponding safety intervals respectively, which are the safety interval of trajectory data, the safety interval of speed data and the safety interval of distance indentation data.

[0047] It should be noted that one interference measure set corresponds to one evaluation result value, and each interference measure set includes the direction and gain of type I beamforming, the direction and gain of type II beamforming, and the direction and gain of type III beamforming.

[0048] In a specific embodiment of the present invention, the analysis obtains interference measures of drones in the target area corresponding to the base station. The specific analysis process is as follows: the evaluation result value of the corresponding flying drone in the target area is Compare the evaluation results of the illegal drone flight with the preset interference measures set. If the evaluation result value of the illegal flying of drones is the same as that corresponding to a preset interference measure set, the interference measure set will be used as the interference measure for drones in the target area corresponding to the base station, and the interference operation for illegal flying of drones in the target area will be automatically executed immediately, so as to obtain the interference measures for drones in the target area corresponding to the base station.

[0049] It should be noted that the interference measure sets corresponding to the evaluation result values of illegal drone flights are set by professional base station personnel. Each interference measure set is used for interference operations under different illegal drone flight phenomena, so that the current situations of illegal drone flights can be effectively controlled.

[0050] Acquire the echo signal data of the drone during flight, and then analyze whether the drone in the target area is an illegal flight phenomenon, and analyze the interference measures of the base station corresponding to the drone in the target area, so that the existing safety hazards can be dealt with promptly and effectively, making illegal flights nowhere to hide and improving the safety of the area.

[0051] See also Figure 2 As shown in FIG, the interference integrated base station system for low-altitude UAV safety issues includes a UAV flight frequency band analysis module, a base station interference perception assessment module, a base station perception frequency modulation analysis module, a base station interference decision module and a database.

[0052] The UAV flight frequency band analysis module is connected to the base station interference perception evaluation module and the database respectively, the base station interference perception evaluation module is connected to the base station perception frequency modulation analysis module and the database respectively, and the base station perception frequency modulation analysis module is connected to the base station interference decision module and the database respectively.

[0053] The UAV flight frequency band analysis module is used to obtain the corresponding frequency band information of the UAV in the target area during the flight process, and then analyze the frequency band changes of the UAV in the target area during the flight process.

[0054] The base station interference perception assessment module is used to analyze the impact of frequency band changes on the accuracy of base station perception of drone flights within the target area based on the frequency band changes of the drone during flight.

[0055] The base station perception frequency modulation analysis module is used to obtain the frequency modulation data corresponding to the drone within the base station perception collection time, and based on the impact of frequency band changes on the accuracy of drone flight in the base station perception target area, predict the frequency modulation pattern corresponding to the drone in the target area.

[0056] The base station interference decision module is used to obtain the echo signal data of the drone during flight, and then analyze whether the drone in the target area is an illegal flight, and analyze and obtain the interference measures of the base station corresponding to the drone in the target area.

[0057] The database is used to store frequency band information, frequency modulation data, sets of sequential frequency modulation patterns, frequency modulation frequency switching intervals and echo signal data.

[0058] The embodiments of the present invention analyze the frequency band changes of the drone during flight to understand whether the drone uses frequency modulation technology, and analyze the impact of the frequency band changes on the accuracy of the base station's perception of the drone flight in the target area, so as to flexibly respond to the changes of the drone and predict the frequency modulation mode corresponding to the drone in the target area, thereby ensuring the accuracy and effectiveness of perception, efficiently identifying the current flight purpose of the drone, and taking targeted interference measures in time to prevent the security factors in the area from being violated or leaked, thereby achieving comprehensive and effective protection of security and privacy in the area, reducing the risk of privacy leakage, making illegal flying nowhere to hide, and improving security in the area.

[0059] The above content is merely an example and explanation of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the scope of protection of the present invention.

Claims

1. An integrated interference base station method for low-altitude drone safety issues, characterized by: include: Step 1: UAV flight frequency band analysis: Obtain the corresponding frequency band information of the UAVs in the target area during flight, and then analyze the frequency band changes of the UAVs in the target area during flight; Step 2: Base station interference perception assessment: Based on the frequency band changes of the drone during flight, the impact of frequency band changes on the accuracy of base station perception of drone flight within the target area is analyzed; Step 3: Base station-perceived frequency modulation analysis: Obtain the frequency modulation data corresponding to the drone during the base station's perception acquisition time, and based on the impact of frequency band changes on the base station's perception of the accuracy of drone flight within the target area, predict the frequency modulation pattern corresponding to the drone in the target area; Step 4: Base station interference decision: Obtain the echo signal data of the drone during flight, analyze whether the drone in the target area is an illegal flight, and analyze and determine the interference measures taken by the base station for drones in the target area; The analysis of frequency band changes of drones in the target area during flight includes: By establishing a frequency band assessment model and a base station perception assessment model, the frequency band changes of drones in the target area during flight are analyzed. The frequency band assessment model formula is: , The drone is flying in the target area The frequency band changes corresponding to the moment, and is the initial signal fluctuation type and flight signal bandwidth corresponding to the UAV in the target area during flight. is an exponential function, is a natural constant, For the flight time of the drone, The flight time of the drone is the time from the initial takeoff to the The corresponding duration between moments is ; Through the base station perception evaluation model, its expression formula is: , For the base station to sense the drones flying in the target area The corresponding perceptual response at each moment, 、 and The initial perception speed, flight perception rate and perception data volume corresponding to the UAV in the target area perceived by the base station during flight. is the cosine function, The value of .

2. The interference-integrated base station method for low-altitude drone safety issues as claimed in claim 1 is characterized in that: The frequency band information includes the initial signal fluctuation type, flight signal bandwidth, initial perception speed, flight perception rate and perception data volume.

3. The interference-integrated base station method for low-altitude drone safety issues as claimed in claim 2 is characterized in that: The analysis of the impact of frequency band changes on the accuracy of base station perception of drone flight within the target area is as follows: Based on the drone flying in the target area The frequency band changes corresponding to the time and the base station senses the drone flying in the target area The perceptual response corresponding to each moment is calculated using the formula: , get the change of the perception function of the base station corresponding to the UAV frequency band , 、 are the set frequency band change weight factor and function change weight factor respectively. , .

4. The interference-integrated base station method for low-altitude safety of unmanned aerial vehicles according to claim 3 is characterized in that: The specific acquisition process of the frequency modulation data corresponding to the drone during the base station sensing and collection time is as follows: Based on the frequency band changes of the UAV in the target area during flight, the time intervals from the initial frequency band change to the secondary frequency band change and the time intervals from the secondary frequency band change to the tertiary frequency band change are extracted respectively. According to the extracted frequency band change time intervals, each collection time period is set to obtain the change data corresponding to the UAV in each collection time period of the base station. Based on the preset number of collections under the corresponding frequency band change of the UAV, the frequency modulation data corresponding to the UAV within the base station perception collection time under the preset number of collections is extracted, including the frequency switching interval, the frequency sequence occurrence frequency and the signal-to-noise ratio.

5. The interference-integrated base station method for low-altitude safety of unmanned aerial vehicles according to claim 4 is characterized in that: The prediction obtains the frequency modulation pattern corresponding to the drone in the target area. The specific prediction process is as follows: Based on the impact of frequency band changes on the accuracy of UAV flight in the base station's perception of the target area, the filling value under the influence of accuracy is obtained, and the data values of the filling value under the influence of accuracy are superimposed on the frequency modulation data corresponding to the UAV during the base station's perception and acquisition time, and the superimposed adjusted frequency switching interval, adjusted frequency sequence occurrence frequency and adjusted signal-to-noise ratio are obtained; Compare the frequency adjustment switching interval corresponding to the UAV within the base station sensing and acquisition time with the frequency modulation frequency switching interval under each sequential frequency modulation mode set stored in the database. If the frequency adjustment switching interval corresponding to the UAV within the base station sensing and acquisition time is the same as the frequency modulation frequency switching interval under a certain sequential frequency modulation mode set stored in the database, then the next frequency modulation interval of the frequency modulation frequency switching interval under the sequential frequency modulation mode set is used as the predicted frequency modulation data, and the next frequency modulation sequence and the next frequency modulation signal-noise are obtained in this way. The frequency modulation pattern corresponding to the UAV in the target area is constructed according to the next frequency modulation interval, the next frequency modulation sequence and the next frequency modulation signal noise, so as to predict the frequency modulation pattern corresponding to the UAV in the target area.

6. The interference-integrated base station method for low-altitude safety of drones as claimed in claim 5 is characterized in that: The echo signal data of the drone is obtained during flight, and then analyzed to determine whether the drone in the target area is an illegal flight. The specific analysis process is as follows: Based on the predicted frequency modulation mode corresponding to the UAV in the target area, the base station will switch to the same monitoring frequency band according to the frequency modulation mode corresponding to the UAV in the target area, obtain the echo signal data of the UAV during the flight, including trajectory data, speed data and distance retraction data, and obtain the trajectory data safety interval, speed data safety interval and distance retraction safety interval corresponding to the historical normal flight UAVs in the target area from the database, and then obtain the evaluation result value of the corresponding flying UAV in the target area. If the evaluation result value of the corresponding flying UAV in the target area is 1, it is determined that the UAV in the target area does not constitute an illegal flight phenomenon and is in safe flight, and the UAV in the target area will continue to be monitored. If the evaluation result value of the corresponding flying UAV in the target area is 0, it is determined that the UAV in the target area constitutes an illegal flight phenomenon and is in dangerous flight, and interference measures will be taken against the UAV in the target area.

7. The interference-integrated base station method for low-altitude safety of unmanned aerial vehicles according to claim 6, characterized in that: The analysis obtains the state value corresponding to the gate releasing flood water. The specific analysis process is as follows: By calculation formula: , The first Echo signal data, The first time a drone flies in the target area The safety interval of the echo signal data, , The number of the echo signal data.

8. The interference-integrated base station method for low-altitude safety of unmanned aerial vehicles according to claim 7, characterized in that: The analysis obtains the interference measures of drones in the target area corresponding to the base station. The specific analysis process is as follows: The evaluation result value of the corresponding flying drone in the target area Compare the evaluation results of the illegal drone flight with the preset interference measures set. If the evaluation result value of the illegal flying of drones is the same as that corresponding to a preset interference measure set, the interference measure set will be used as the interference measure for drones in the target area corresponding to the base station, and the interference operation for illegal flying of drones in the target area will be automatically executed immediately, so as to obtain the interference measures for drones in the target area corresponding to the base station.

9. A base station system for low-altitude UAV safety that implements the base station method for low-altitude UAV safety as described in any one of claims 1 to 8, characterized in that: include: The UAV flight frequency band analysis module is used to obtain the corresponding frequency band information of the UAVs in the target area during flight, and then analyze the frequency band changes of the UAVs in the target area during flight; The base station interference perception assessment module is used to analyze the impact of frequency band changes on the accuracy of base station perception of UAV flight within the target area based on the frequency band changes of the UAV during flight. The base station perception frequency modulation analysis module is used to obtain the frequency modulation data corresponding to the drone during the base station perception collection time, and based on the impact of frequency band changes on the accuracy of base station perception of drone flight in the target area, predict the frequency modulation pattern corresponding to the drone in the target area; The base station interference decision module is used to obtain the echo signal data of the drone during flight, and then analyze whether the drone in the target area is an illegal flight, and analyze and obtain the interference measures of the base station corresponding to the drone in the target area.

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