Unmanned aircraft HIRF protection management method and system and readable storage medium

Abstract

The invention discloses an unmanned aircraft HIRF protection management method and system and a readable storage medium. The method comprises the following steps: identifying an electromagnetic interference source; matching the current flight state of the unmanned aerial vehicle based on the electromagnetic interference source so as to perform protection management, and when the unmanned aerial vehicle is in a midway flight stage, performing grade identification based on the electromagnetic interference source so as to manage a flight control system and a sensing system corresponding to the unmanned aerial vehicle; and when the unmanned aircraft is in a take-off and landing stage, performing avionics system protection management corresponding to the unmanned aircraft based on the electromagnetic interference source, including electromagnetic database directional fixed-frequency identification. Different high-intensity radiation protection measures can be taken according to different flight stages of the unmanned aerial vehicle, so that the fuselage safety and electromechanical safety are effectively guaranteed, protection can be more refined under the condition of limited energy supply, and the protection effect is effectively improved.

Description

Technical Field

[0001] This invention relates to the field of unmanned aerial vehicle (UAV) operation technology, and more specifically, to a method, system, and readable storage medium for UAV HIRF protection management. Background Technology

[0002] With the continuous development of science and technology, the application of unmanned aerial vehicles (UAVs) has achieved unprecedented development, especially in the civilian sector. UAVs have been applied in various fields such as aerial photography, agriculture, plant protection, miniature selfies, express delivery, disaster relief, wildlife observation, infectious disease monitoring, surveying and mapping, news reporting, power line inspection, disaster relief, film and television shooting, and creating romance, greatly expanding the uses of UAVs themselves.

[0003] Meanwhile, during takeoff, landing, or operation, unmanned aerial vehicles are subject to strong interference from high-intensity radiated fields (HIRF). In order to protect the airframe and flight safety, protective management is required. Summary of the Invention

[0004] The purpose of this invention is to provide a method, system, and readable storage medium for HIRF protection management of unmanned aerial vehicles (UAVs). This method can take different high-intensity radiation protection measures according to different flight stages of the UAV, thereby effectively ensuring the safety of the airframe and electromechanical systems. Furthermore, under limited power supply conditions, it can make the protection more refined and effectively improve the protection effect.

[0005] The first aspect of this invention provides a HIRF protection management method for unmanned aerial vehicles, comprising the following steps:

[0006] Identify sources of electromagnetic interference;

[0007] Protection management is implemented based on the electromagnetic interference source and the current flight status of the unmanned aerial vehicle, wherein...

[0008] When the unmanned aerial vehicle is in the flight phase, the level of electromagnetic interference source is identified to manage the flight control system and sensing system of the unmanned aerial vehicle.

[0009] When the unmanned aerial vehicle is in the take-off and landing phase, the avionics system protection management of the unmanned aerial vehicle is carried out based on the electromagnetic interference source, including electromagnetic database directional and frequency identification.

[0010] In this solution, the identification of electromagnetic interference sources specifically includes:

[0011] Acquire electromagnetic signals;

[0012] Frequency band analysis is performed based on the electromagnetic signal and a target database, wherein...

[0013] The electromagnetic interference source is obtained by extracting the electromagnetic frequency bands that cannot be successfully matched from the target database.

[0014] In this solution, the step of performing protection management based on matching the current flight status of the unmanned aerial vehicle with the electromagnetic interference source specifically includes:

[0015] Acquire the current flight status of the unmanned aerial vehicle to identify state factors;

[0016] Based on the state factor and the electromagnetic interference source, a protection mechanism is identified, wherein...

[0017] If the identified state factor is a factor during the flight phase, then a matching level identification and protection mechanism will be used for protection management.

[0018] If the identified state factor is a takeoff and landing phase factor, then a directional and fixed-frequency identification mechanism is used for protection management.

[0019] In this solution, when the unmanned aerial vehicle (UAV) is in the mid-flight phase, the method of classifying the electromagnetic interference source to manage the corresponding flight control system and sensing system of the UAV specifically includes:

[0020] When the level identification and protection mechanism is matched, the intensity level is identified based on the electromagnetic interference source, wherein,

[0021] If the intensity level is identified as Level I, the corresponding sensor group will go into sleep mode based on the sensing system.

[0022] When an intensity level of II is detected, the corresponding sensor group is put into sleep mode based on the sensing system, and a strong interference countermeasure operation is initiated based on the flight control system.

[0023] In this solution, when the unmanned aerial vehicle (UAV) is in the takeoff or landing phase, the avionics system protection management corresponding to the UAV is based on the electromagnetic interference source. This includes electromagnetic database-based directional and frequency-based identification, specifically comprising:

[0024] When the directional frequency protection mechanism is matched, directional frequency band analysis is performed based on the electromagnetic interference source, wherein,

[0025] Interference frequency bands in different directions from the electromagnetic interference sources are filtered out based on a preset direction;

[0026] Interference frequency bands of different frequencies from the electromagnetic interference sources are filtered out based on a preset frequency.

[0027] In this scheme, when performing protection management based on the directional fixed-frequency identification protection mechanism, if no user terminal command is obtained, a strong interference countermeasure operation is initiated based on the flight control system.

[0028] A second aspect of the present invention also provides an unmanned aerial vehicle (UAV) HIRF protection management system, including a memory and a processor. The memory includes a UAV HIRF protection management method program, which, when executed by the processor, performs the following steps:

[0029] Identify sources of electromagnetic interference;

[0030] Protection management is implemented based on the electromagnetic interference source and the current flight status of the unmanned aerial vehicle, wherein...

[0031] When the unmanned aerial vehicle is in the flight phase, the level of electromagnetic interference source is identified to manage the flight control system and sensing system of the unmanned aerial vehicle.

[0032] When the unmanned aerial vehicle is in the take-off and landing phase, the avionics system protection management of the unmanned aerial vehicle is carried out based on the electromagnetic interference source, including electromagnetic database directional and frequency identification.

[0033] In this solution, the identification of electromagnetic interference sources specifically includes:

[0034] Acquire electromagnetic signals;

[0035] Frequency band analysis is performed based on the electromagnetic signal and a target database, wherein...

[0036] The electromagnetic interference source is obtained by extracting the electromagnetic frequency bands that cannot be successfully matched from the target database.

[0037] In this solution, the step of performing protection management based on matching the current flight status of the unmanned aerial vehicle with the electromagnetic interference source specifically includes:

[0038] Acquire the current flight status of the unmanned aerial vehicle to identify state factors;

[0039] Based on the state factor and the electromagnetic interference source, a protection mechanism is identified, wherein...

[0040] If the identified state factor is a factor during the flight phase, then a matching level identification and protection mechanism will be used for protection management.

[0041] If the identified state factor is a takeoff and landing phase factor, then a directional and fixed-frequency identification mechanism is used for protection management.

[0042] In this solution, when the unmanned aerial vehicle (UAV) is in the mid-flight phase, the method of classifying the electromagnetic interference source to manage the corresponding flight control system and sensing system of the UAV specifically includes:

[0043] When the level identification and protection mechanism is matched, the intensity level is identified based on the electromagnetic interference source, wherein,

[0044] If the intensity level is identified as Level I, the corresponding sensor group will go into sleep mode based on the sensing system.

[0045] When an intensity level of II is detected, the corresponding sensor group is put into sleep mode based on the sensing system, and a strong interference countermeasure operation is initiated based on the flight control system.

[0046] In this solution, when the unmanned aerial vehicle (UAV) is in the takeoff or landing phase, the avionics system protection management corresponding to the UAV is based on the electromagnetic interference source. This includes electromagnetic database-based directional and frequency-based identification, specifically comprising:

[0047] When the directional frequency protection mechanism is matched, directional frequency band analysis is performed based on the electromagnetic interference source, wherein,

[0048] Interference frequency bands in different directions from the electromagnetic interference sources are filtered out based on a preset direction;

[0049] Interference frequency bands of different frequencies from the electromagnetic interference sources are filtered out based on a preset frequency.

[0050] In this scheme, when performing protection management based on the directional fixed-frequency identification protection mechanism, if no user terminal command is obtained, a strong interference countermeasure operation is initiated based on the flight control system.

[0051] A third aspect of the present invention provides a computer-readable storage medium comprising a machine-defined unmanned aerial vehicle (UAV) HIRF protection management method program, wherein when executed by a processor, the UAV HIRF protection management method program implements the steps of an UAV HIRF protection management method as described in any of the preceding claims.

[0052] The present invention discloses a method, system and readable storage medium for HIRF protection management of unmanned aerial vehicles (UAVs). It can take different high-intensity radiation protection measures according to different flight stages of the UAV, thereby effectively ensuring the safety of the fuselage and electromechanical systems. Moreover, under limited power supply conditions, it can make the protection more refined and effectively improve the protection effect. Attached Figure Description

[0053] Figure 1 A flowchart of a HIRF protection management method for unmanned aerial vehicles according to the present invention is shown;

[0054] Figure 2 A block diagram of an unmanned aerial vehicle HIRF protection management system according to the present invention is shown. Detailed Implementation

[0055] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0056] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0057] Figure 1 A flowchart of a HIRF protection management method for unmanned aerial vehicles according to this application is shown.

[0058] like Figure 1 As shown, this application discloses a HIRF protection management method for unmanned aerial vehicles, including the following steps:

[0059] S102, Identify electromagnetic interference sources;

[0060] S104, Based on the electromagnetic interference source, match the current flight status of the unmanned aerial vehicle for protection management;

[0061] S106, When the unmanned aircraft is in the en route flight phase, the level of electromagnetic interference source is identified to manage the flight control system and sensing system corresponding to the unmanned aircraft.

[0062] S108, When the unmanned aerial vehicle is in the take-off and landing phase, the avionics system protection management of the unmanned aerial vehicle is carried out based on the electromagnetic interference source, including electromagnetic database directional and frequency identification.

[0063] It should be noted that, in this embodiment, the unmanned aerial vehicle (UAV) is subject to interference from radiation fields of varying degrees during operation. Therefore, it is necessary to distinguish and identify the sources of electromagnetic interference in order to provide separate protection for different flight states, thereby ensuring the effectiveness of protection and minimizing power consumption. Specifically, when the UAV is in the mid-flight phase, the level of electromagnetic interference can be identified based on the source to protect the corresponding flight control system and sensor system, thereby reducing sensor damage and improving flight control stability. Correspondingly, the avionics system is also affected by the level of electromagnetic interference. When the UAV is in the takeoff and landing phase, the avionics system protection management is performed based on the source of electromagnetic interference, including electromagnetic database directional and frequency identification, thereby ensuring the normal and safe takeoff and landing of the UAV. Correspondingly, the flight control system and sensor system are also affected by the directional and frequency identification during takeoff and landing.

[0064] According to an embodiment of the present invention, the identification of electromagnetic interference sources specifically includes:

[0065] Acquire electromagnetic signals;

[0066] Frequency band analysis is performed based on the electromagnetic signal and a target database, wherein...

[0067] The electromagnetic interference source is obtained by extracting the electromagnetic frequency bands that cannot be successfully matched from the target database.

[0068] It should be noted that, in this embodiment, the unmanned aerial vehicle communicates using transmission signals on a fixed frequency band during flight. Therefore, electromagnetic signals can be acquired and frequency bands analyzed based on a target database. If the frequency bands match, it indicates a successful match, meaning that the frequency band is the target frequency band. If the frequency bands do not match, it indicates a failed match, meaning that the frequency band is not the target frequency band. Therefore, the electromagnetic interference source can be obtained by extracting the electromagnetic frequency bands that cannot be successfully matched from the target database.

[0069] According to an embodiment of the present invention, the step of performing protection management based on matching the current flight status of the unmanned aerial vehicle with the electromagnetic interference source specifically includes:

[0070] Acquire the current flight status of the unmanned aerial vehicle to identify state factors;

[0071] Based on the state factor and the electromagnetic interference source, a protection mechanism is identified, wherein...

[0072] If the identified state factor is a factor during the flight phase, then a matching level identification and protection mechanism will be used for protection management.

[0073] If the identified state factor is a takeoff and landing phase factor, then a directional and fixed-frequency identification mechanism is used for protection management.

[0074] It should be noted that, in this embodiment, different flight states of the unmanned aerial vehicle (UAV) correspond to different attributes. Therefore, the current flight state of the UAV can be obtained to identify state factors. Based on these state factors and the electromagnetic interference source, a protection mechanism can be identified. Specifically, if the identified state factor is a flight phase factor, a level identification protection mechanism is matched for protection management, so as to identify the intensity level of the electromagnetic interference source and provide targeted protection for different control systems. If the identified state factor is a takeoff and landing phase factor, a directional frequency identification mechanism is matched for protection management, so as to identify the electromagnetic interference source in a directional frequency manner and provide targeted protection for different control systems.

[0075] According to an embodiment of the present invention, when the unmanned aerial vehicle is in the en route phase of flight, the step of performing level identification based on the electromagnetic interference source to manage the flight control system and sensing system corresponding to the unmanned aerial vehicle specifically includes:

[0076] When the level identification and protection mechanism is matched, the intensity level is identified based on the electromagnetic interference source, wherein,

[0077] If the intensity level is identified as Level I, the corresponding sensor group will go into sleep mode based on the sensing system.

[0078] When an intensity level of II is detected, the corresponding sensor group is put into sleep mode based on the sensing system, and a strong interference countermeasure operation is initiated based on the flight control system.

[0079] It should be noted that in this embodiment, different intensity levels correspond to different protective measures. Specifically, the intensity level is identified based on the electromagnetic interference source. If the intensity level is identified as Level I, the corresponding sensor group of the sensing system is put into sleep mode. In this case, only the sensor group of the sensing system needs to be put into sleep mode to avoid data acquisition disorder and / or sensor damage. If the intensity level is identified as Level II, the corresponding sensor group of the sensing system is put into sleep mode, and the strong interference countermeasure operation is activated based on the flight control system. In this case, not only is it necessary to put the sensor group into sleep mode, but also to focus energy to activate the strong interference countermeasure operation to reduce the interference phenomenon of the radiation field.

[0080] According to an embodiment of the present invention, when the unmanned aerial vehicle is in the takeoff and landing phase, the protection management of the avionics system corresponding to the unmanned aerial vehicle is performed based on the electromagnetic interference source, which includes electromagnetic database directional and frequency identification, specifically including:

[0081] When the directional frequency protection mechanism is matched, directional frequency band analysis is performed based on the electromagnetic interference source, wherein,

[0082] Interference frequency bands in different directions from the electromagnetic interference sources are filtered out based on a preset direction;

[0083] Interference frequency bands of different frequencies from the electromagnetic interference sources are filtered out based on a preset frequency.

[0084] It should be noted that, in this embodiment, during takeoff and landing, the received communication signals mostly come from a fixed direction. Therefore, directional and frequency identification can be performed during the takeoff and landing of the unmanned aerial vehicle. Specifically, since electromagnetic signals are subject to interference and can propagate in an unpredictable manner, it is necessary to perform directional screening of the electromagnetic interference sources to eliminate interference frequency bands that are not in the preset direction. At this time, even after eliminating the frequency bands that are not in the preset direction, there are still a certain amount of interference signals. Therefore, it is necessary to perform frequency filtering to eliminate the frequency bands that are not in the preset frequency range to obtain the target frequency band, thereby ensuring stable communication connection during takeoff and landing.

[0085] According to an embodiment of the present invention, when performing protection management based on the directional fixed-frequency identification protection mechanism, if no user terminal instruction is obtained, a strong interference countermeasure operation is initiated based on the flight control system.

[0086] It should be noted that in this embodiment, when the unmanned aerial vehicle is in the takeoff and landing phase and the directional frequency identification and protection mechanism is activated, the system first continuously monitors the reception status of user terminal commands. If no valid user terminal command is obtained within a preset time, indicating that the directional frequency protection has failed to maintain the communication link, the strong interference countermeasure module of the flight control system is immediately triggered. The control link is rebuilt by actively transmitting anti-interference signals or switching to the protected communication frequency band. This process strictly relies on the built-in countermeasure function of the flight control system to avoid calling additional energy-consuming modules. The core logic of this embodiment is that when complex protection measures cannot be activated due to limited power supply during the takeoff and landing phase, the failure of the directional frequency mechanism is regarded as a critical condition for communication interruption. Instead, the basic countermeasure capability of the flight control system is activated as a degraded redundancy scheme, thereby prioritizing the stability of the avionics command channel under energy constraints and preventing loss of control of takeoff and landing attitude due to momentary communication loss. At the same time, this embodiment complements the directional frequency screening. The former handles conventional interference in a preset direction or frequency band, while the latter deals with extreme scenarios of complete communication interruption. The two constitute a hierarchical protection system for the takeoff and landing phase.

[0087] It is worth mentioning that the method also includes:

[0088] The comparison is based on the level identification results of the electromagnetic interference sources, wherein,

[0089] If the intensity level is greater than or equal to the limit level, control the unmanned aerial vehicle to enter a silent state and initiate automatic return-to-home tracking.

[0090] It should be noted that in this embodiment, during the identification of the intensity level of the electromagnetic interference source, the intensity level is compared with a preset limit threshold in real time. When the identified intensity is greater than or equal to the limit level, it indicates an encounter with a destructive radiation field, and a two-level emergency response is immediately executed. The first level is to force entry into a radio silence state, that is, to shut down all active signal transceiver modules to cut off the external electromagnetic coupling path and avoid physical breakdown of the flight control computer, sensors, and avionics equipment by high-intensity radiation. The second level is to automatically activate the track-following return-to-home operation, which is based on calling the complete historical flight trajectory data recorded in the onboard memory, generating a return-to-home path by reverse parsing the trajectory coordinate sequence, so that the aircraft can cruise in reverse along the original flight trajectory under zero communication conditions. This embodiment uses a dual-response mechanism to eliminate the physical carrier of electromagnetic energy intrusion in the silence state, while the return-to-home based on the stored trajectory replaces GPS or remote control signals to achieve autonomous navigation. The two work together to solve the survival and escape problems in destructive interference scenarios; in particular, the generation of the return-to-home path strictly depends on the trajectory recording results, forming a closed-loop safety logic of trajectory storage, silent disconnection, and historical path backtracking.

[0091] It is worth mentioning that the method also includes:

[0092] Record the flight path of unmanned aerial vehicles;

[0093] The flight trajectory is stored in real time.

[0094] It should be noted that, in this embodiment, the unmanned aerial vehicle (UAV) collects spatial coordinate data in real time through its positioning module throughout the flight and constructs a continuous trajectory chain indexed by timestamps. The trajectory data is written to onboard non-volatile memory to ensure that historical nodes are not lost in the event of a sudden power outage or system reset. The storage mechanism employs a cyclic overwrite and key point compression strategy. During regular flight segments, only the coordinates of path inflection points and state change points are retained, while attitude parameters are recorded at full density during takeoff and landing, thereby optimizing storage resource usage. The core function of real-time trajectory storage is to provide a data foundation for track-based return. When the aircraft initiates automatic return due to extreme interference, the flight control system directly reads the encrypted trajectory data from local memory, decrypts the coordinates, and performs path reversal calculations to generate a return command. This embodiment completely avoids reliance on real-time communication; the physical isolation of the storage medium ensures data integrity under electromagnetic interference conditions; and the deterministic path of the historical trajectory avoids navigation blind spots in the absence of signal, ultimately achieving the goal of failure protection.

[0095] It is worth mentioning that the method also includes:

[0096] Real-time monitoring of energy fluctuations in electromagnetic signals;

[0097] The matching tolerance threshold for frequency band analysis is dynamically adjusted based on the energy fluctuation value;

[0098] When the fluctuation value exceeds the preset fluctuation threshold, the frequency band matching tolerance range of the target database is expanded to identify potential broadband interference sources.

[0099] It should be noted that, in this embodiment, during the electromagnetic interference source identification process, the energy fluctuation value of the environmental electromagnetic signal is captured in real time by a broadband sensor, and this fluctuation value is continuously compared with a preset fluctuation threshold. When the detected fluctuation value exceeds the tolerance threshold, it indicates the presence of a transient strong interference event, such as lightning or radar pulse, and the frequency band matching tolerance range of the target database is dynamically adjusted. As one implementation method, this specifically includes expanding the basic tolerance from ±0.5MHz to ±2MHz to cover adjacent harmonics and broadband noise that were originally determined to be non-target frequency bands. Then, after expanding the tolerance, the frequency band analysis is re-executed; first, known communication frequency bands in the target database are screened out; then, signal components with abrupt amplitude changes in the remaining unmatched frequency bands are extracted and classified as broadband interference sources. This embodiment breaks the fixed tolerance limitation and triggers the elastic expansion of the tolerance through energy fluctuation, enabling the system to capture transient interference that is missed in traditional frequency band analysis, thereby improving the completeness of interference source identification in complex electromagnetic environments, and is especially suitable for densely radared urban areas or thunderstorm weather operation scenarios.

[0100] It is worth mentioning that the method also includes:

[0101] When the identification intensity level is Level II, the power output mode of the strong interference countermeasure operation is further adjusted according to the remaining energy of the unmanned aerial vehicle.

[0102] If the remaining energy supply is lower than the first threshold, the pulse intermittent countermeasure mode is activated;

[0103] If the remaining power supply is lower than the second threshold, the sensor system's sleep function will be turned off and switched to the minimum power continuous countermeasure mode.

[0104] It should be noted that in this embodiment, when the system identifies electromagnetic interference intensity level II and initiates strong interference countermeasures, it simultaneously monitors the remaining power supply of the unmanned aerial vehicle (UAV) and establishes a dynamic mapping relationship between the countermeasures power output mode and the power supply status. If the remaining power is higher than a first threshold, the flight control system maintains a full-power continuous countermeasures mode. If the remaining power drops to between the first and second thresholds, it switches to a pulse-intermittent countermeasures mode; this mode starts and stops the countermeasures operation according to a preset duty cycle, delaying power decay by reducing average power consumption. If the remaining power is lower than the second threshold, the sensor group sleep operation of the sensing system is terminated, and the saved power is allocated to the countermeasures system, enabling it to maintain basic countermeasures functions at minimum power. At the same time, the flight control system prioritizes attitude control and communication links. This embodiment constructs a survival-first energy consumption strategy, extending the survival time of the countermeasures system by sacrificing non-core functions under extreme power supply conditions, and avoiding premature power failure and crash of the entire aircraft due to protective operations.

[0105] Figure 2 A block diagram of an unmanned aerial vehicle HIRF protection management system according to the present invention is shown.

[0106] like Figure 2 As shown, this invention discloses an unmanned aerial vehicle (UAV) HIRF protection management system, including a memory and a processor. The memory includes a UAV HIRF protection management method program, which, when executed by the processor, performs the following steps:

[0107] Identify sources of electromagnetic interference;

[0108] Protection management is implemented based on the electromagnetic interference source and the current flight status of the unmanned aerial vehicle, wherein...

[0109] When the unmanned aerial vehicle is in the flight phase, the level of electromagnetic interference source is identified to manage the flight control system and sensing system of the unmanned aerial vehicle.

[0110] When the unmanned aerial vehicle is in the take-off and landing phase, the avionics system protection management of the unmanned aerial vehicle is carried out based on the electromagnetic interference source, including electromagnetic database directional and frequency identification.

[0111] It should be noted that, in this embodiment, the unmanned aerial vehicle (UAV) is subject to interference from radiation fields of varying degrees during operation. Therefore, it is necessary to distinguish and identify the sources of electromagnetic interference in order to provide separate protection for different flight states, thereby ensuring the effectiveness of protection and minimizing power consumption. Specifically, when the UAV is in the mid-flight phase, the level of electromagnetic interference can be identified based on the source to protect the corresponding flight control system and sensor system, thereby reducing sensor damage and improving flight control stability. Correspondingly, the avionics system is also affected by the level of electromagnetic interference. When the UAV is in the takeoff and landing phase, the avionics system protection management is performed based on the source of electromagnetic interference, including electromagnetic database directional and frequency identification, thereby ensuring the normal and safe takeoff and landing of the UAV. Correspondingly, the flight control system and sensor system are also affected by the directional and frequency identification during takeoff and landing.

[0112] According to an embodiment of the present invention, the identification of electromagnetic interference sources specifically includes:

[0113] Acquire electromagnetic signals;

[0114] Frequency band analysis is performed based on the electromagnetic signal and a target database, wherein...

[0115] The electromagnetic interference source is obtained by extracting the electromagnetic frequency bands that cannot be successfully matched from the target database.

[0116] It should be noted that, in this embodiment, the unmanned aerial vehicle communicates using transmission signals on a fixed frequency band during flight. Therefore, electromagnetic signals can be acquired and frequency bands analyzed based on a target database. If the frequency bands match, it indicates a successful match, meaning that the frequency band is the target frequency band. If the frequency bands do not match, it indicates a failed match, meaning that the frequency band is not the target frequency band. Therefore, the electromagnetic interference source can be obtained by extracting the electromagnetic frequency bands that cannot be successfully matched from the target database.

[0117] According to an embodiment of the present invention, the step of performing protection management based on matching the current flight status of the unmanned aerial vehicle with the electromagnetic interference source specifically includes:

[0118] Acquire the current flight status of the unmanned aerial vehicle to identify state factors;

[0119] Based on the state factor and the electromagnetic interference source, a protection mechanism is identified, wherein...

[0120] If the identified state factor is a factor during the flight phase, then a matching level identification and protection mechanism will be used for protection management.

[0121] If the identified state factor is a takeoff and landing phase factor, then a directional and fixed-frequency identification mechanism is used for protection management.

[0122] It should be noted that, in this embodiment, different flight states of the unmanned aerial vehicle (UAV) correspond to different attributes. Therefore, the current flight state of the UAV can be obtained to identify state factors. Based on these state factors and the electromagnetic interference source, a protection mechanism can be identified. Specifically, if the identified state factor is a flight phase factor, a level identification protection mechanism is matched for protection management, so as to identify the intensity level of the electromagnetic interference source and provide targeted protection for different control systems. If the identified state factor is a takeoff and landing phase factor, a directional frequency identification mechanism is matched for protection management, so as to identify the electromagnetic interference source in a directional frequency manner and provide targeted protection for different control systems.

[0123] According to an embodiment of the present invention, when the unmanned aerial vehicle is in the en route phase of flight, the step of performing level identification based on the electromagnetic interference source to manage the flight control system and sensing system corresponding to the unmanned aerial vehicle specifically includes:

[0124] When the level identification and protection mechanism is matched, the intensity level is identified based on the electromagnetic interference source, wherein,

[0125] If the intensity level is identified as Level I, the corresponding sensor group will go into sleep mode based on the sensing system.

[0126] When an intensity level of II is detected, the corresponding sensor group is put into sleep mode based on the sensing system, and a strong interference countermeasure operation is initiated based on the flight control system.

[0127] It should be noted that in this embodiment, different intensity levels correspond to different protective measures. Specifically, the intensity level is identified based on the electromagnetic interference source. If the intensity level is identified as Level I, the corresponding sensor group of the sensing system is put into sleep mode. In this case, only the sensor group of the sensing system needs to be put into sleep mode to avoid data acquisition disorder and / or sensor damage. If the intensity level is identified as Level II, the corresponding sensor group of the sensing system is put into sleep mode, and the strong interference countermeasure operation is activated based on the flight control system. In this case, not only is it necessary to put the sensor group into sleep mode, but also to focus energy to activate the strong interference countermeasure operation to reduce the interference phenomenon of the radiation field.

[0128] According to an embodiment of the present invention, when the unmanned aerial vehicle is in the takeoff and landing phase, the protection management of the avionics system corresponding to the unmanned aerial vehicle is performed based on the electromagnetic interference source, which includes electromagnetic database directional and frequency identification, specifically including:

[0129] When the directional frequency protection mechanism is matched, directional frequency band analysis is performed based on the electromagnetic interference source, wherein,

[0130] Interference frequency bands in different directions from the electromagnetic interference sources are filtered out based on a preset direction;

[0131] Interference frequency bands of different frequencies from the electromagnetic interference sources are filtered out based on a preset frequency.

[0132] It should be noted that, in this embodiment, during takeoff and landing, the received communication signals mostly come from a fixed direction. Therefore, directional and frequency identification can be performed during the takeoff and landing of the unmanned aerial vehicle. Specifically, since electromagnetic signals are subject to interference and can propagate in an unpredictable manner, it is necessary to perform directional screening of the electromagnetic interference sources to eliminate interference frequency bands that are not in the preset direction. At this time, even after eliminating the frequency bands that are not in the preset direction, there are still a certain amount of interference signals. Therefore, it is necessary to perform frequency filtering to eliminate the frequency bands that are not in the preset frequency range to obtain the target frequency band, thereby ensuring stable communication connection during takeoff and landing.

[0133] According to an embodiment of the present invention, when performing protection management based on the directional fixed-frequency identification protection mechanism, if no user terminal instruction is obtained, a strong interference countermeasure operation is initiated based on the flight control system.

[0134] It should be noted that in this embodiment, when the unmanned aerial vehicle is in the takeoff and landing phase and the directional frequency identification and protection mechanism is activated, the system first continuously monitors the reception status of user terminal commands. If no valid user terminal command is obtained within a preset time, indicating that the directional frequency protection has failed to maintain the communication link, the strong interference countermeasure module of the flight control system is immediately triggered. The control link is rebuilt by actively transmitting anti-interference signals or switching to the protected communication frequency band. This process strictly relies on the built-in countermeasure function of the flight control system to avoid calling additional energy-consuming modules. The core logic of this embodiment is that when complex protection measures cannot be activated due to limited power supply during the takeoff and landing phase, the failure of the directional frequency mechanism is regarded as a critical condition for communication interruption. Instead, the basic countermeasure capability of the flight control system is activated as a degraded redundancy scheme, thereby prioritizing the stability of the avionics command channel under energy constraints and preventing loss of control of takeoff and landing attitude due to momentary communication loss. At the same time, this embodiment complements the directional frequency screening. The former handles conventional interference in a preset direction or frequency band, while the latter deals with extreme scenarios of complete communication interruption. The two constitute a hierarchical protection system for the takeoff and landing phase.

[0135] It is worth mentioning that the method also includes:

[0136] The comparison is based on the level identification results of the electromagnetic interference sources, wherein,

[0137] If the intensity level is greater than or equal to the limit level, control the unmanned aerial vehicle to enter a silent state and initiate automatic return-to-home tracking.

[0138] It should be noted that in this embodiment, during the identification of the intensity level of the electromagnetic interference source, the intensity level is compared with a preset limit threshold in real time. When the identified intensity is greater than or equal to the limit level, it indicates an encounter with a destructive radiation field, and a two-level emergency response is immediately executed. The first level is to force entry into a radio silence state, that is, to shut down all active signal transceiver modules to cut off the external electromagnetic coupling path and avoid physical breakdown of the flight control computer, sensors, and avionics equipment by high-intensity radiation. The second level is to automatically activate the track-following return-to-home operation, which is based on calling the complete historical flight trajectory data recorded in the onboard memory, generating a return-to-home path by reverse parsing the trajectory coordinate sequence, so that the aircraft can cruise in reverse along the original flight trajectory under zero communication conditions. This embodiment uses a dual-response mechanism to eliminate the physical carrier of electromagnetic energy intrusion in the silence state, while the return-to-home based on the stored trajectory replaces GPS or remote control signals to achieve autonomous navigation. The two work together to solve the survival and escape problems in destructive interference scenarios; in particular, the generation of the return-to-home path strictly depends on the trajectory recording results, forming a closed-loop safety logic of trajectory storage, silent disconnection, and historical path backtracking.

[0139] It is worth mentioning that the method also includes:

[0140] Record the flight path of unmanned aerial vehicles;

[0141] The flight trajectory is stored in real time.

[0142] It should be noted that, in this embodiment, the unmanned aerial vehicle (UAV) collects spatial coordinate data in real time through its positioning module throughout the flight and constructs a continuous trajectory chain indexed by timestamps. The trajectory data is written to onboard non-volatile memory to ensure that historical nodes are not lost in the event of a sudden power outage or system reset. The storage mechanism employs a cyclic overwrite and key point compression strategy. During regular flight segments, only the coordinates of path inflection points and state change points are retained, while attitude parameters are recorded at full density during takeoff and landing, thereby optimizing storage resource usage. The core function of real-time trajectory storage is to provide a data foundation for track-based return. When the aircraft initiates automatic return due to extreme interference, the flight control system directly reads the encrypted trajectory data from local memory, decrypts the coordinates, and performs path reversal calculations to generate a return command. This embodiment completely avoids reliance on real-time communication; the physical isolation of the storage medium ensures data integrity under electromagnetic interference conditions; and the deterministic path of the historical trajectory avoids navigation blind spots in the absence of signal, ultimately achieving the goal of failure protection.

[0143] It is worth mentioning that the method also includes:

[0144] Real-time monitoring of energy fluctuations in electromagnetic signals;

[0145] The matching tolerance threshold for frequency band analysis is dynamically adjusted based on the energy fluctuation value;

[0146] When the fluctuation value exceeds the preset fluctuation threshold, the frequency band matching tolerance range of the target database is expanded to identify potential broadband interference sources.

[0147] It should be noted that, in this embodiment, during the electromagnetic interference source identification process, the energy fluctuation value of the environmental electromagnetic signal is captured in real time by a broadband sensor, and this fluctuation value is continuously compared with a preset fluctuation threshold. When the detected fluctuation value exceeds the tolerance threshold, it indicates the presence of a transient strong interference event, such as lightning or radar pulse, and the frequency band matching tolerance range of the target database is dynamically adjusted. As one implementation method, this specifically includes expanding the basic tolerance from ±0.5MHz to ±2MHz to cover adjacent harmonics and broadband noise that were originally determined to be non-target frequency bands. Then, after expanding the tolerance, the frequency band analysis is re-executed; first, known communication frequency bands in the target database are screened out; then, signal components with abrupt amplitude changes in the remaining unmatched frequency bands are extracted and classified as broadband interference sources. This embodiment breaks the fixed tolerance limitation and triggers the elastic expansion of the tolerance through energy fluctuation, enabling the system to capture transient interference that is missed in traditional frequency band analysis, thereby improving the completeness of interference source identification in complex electromagnetic environments, and is especially suitable for densely radared urban areas or thunderstorm weather operation scenarios.

[0148] It is worth mentioning that the method also includes:

[0149] When the identification intensity level is Level II, the power output mode of the strong interference countermeasure operation is further adjusted according to the remaining energy of the unmanned aerial vehicle.

[0150] If the remaining energy supply is lower than the first threshold, the pulse intermittent countermeasure mode is activated;

[0151] If the remaining power supply is lower than the second threshold, the sensor system's sleep function will be turned off and switched to the minimum power continuous countermeasure mode.

[0152] It should be noted that in this embodiment, when the system identifies electromagnetic interference intensity level II and initiates strong interference countermeasures, it simultaneously monitors the remaining power supply of the unmanned aerial vehicle (UAV) and establishes a dynamic mapping relationship between the countermeasures power output mode and the power supply status. If the remaining power is higher than a first threshold, the flight control system maintains a full-power continuous countermeasures mode. If the remaining power drops to between the first and second thresholds, it switches to a pulse-intermittent countermeasures mode; this mode starts and stops the countermeasures operation according to a preset duty cycle, delaying power decay by reducing average power consumption. If the remaining power is lower than the second threshold, the sensor group sleep operation of the sensing system is terminated, and the saved power is allocated to the countermeasures system, enabling it to maintain basic countermeasures functions at minimum power. At the same time, the flight control system prioritizes attitude control and communication links. This embodiment constructs a survival-first energy consumption strategy, extending the survival time of the countermeasures system by sacrificing non-core functions under extreme power supply conditions, and avoiding premature power failure and crash of the entire aircraft due to protective operations.

[0153] A third aspect of the present invention provides a computer-readable storage medium comprising a method program for managing the HIRF protection of an unmanned aerial vehicle (UAV), wherein when executed by a processor, the UAV HIRF protection management method program implements the steps of a method for managing the HIRF protection of an UAV as described in any of the preceding claims.

[0154] The present invention discloses a method, system and readable storage medium for HIRF protection management of unmanned aerial vehicles (UAVs). It can take different high-intensity radiation protection measures according to different flight stages of the UAV, thereby effectively ensuring the safety of the fuselage and electromechanical systems. Moreover, under limited power supply conditions, it can make the protection more refined and effectively improve the protection effect.

[0155] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0156] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0157] In addition, in the various embodiments of the present invention, each functional unit can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0158] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0159] Alternatively, if the integrated units of this invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

Claims

1. A method for HIRF protection management of unmanned aerial vehicles, characterized in that, Includes the following steps: Identify sources of electromagnetic interference; Protection management is implemented based on the electromagnetic interference source and the current flight status of the unmanned aerial vehicle, wherein... When the unmanned aerial vehicle is in the flight phase, the level of electromagnetic interference source is identified to manage the flight control system and sensing system of the unmanned aerial vehicle. When the unmanned aerial vehicle is in the take-off and landing phase, the avionics system protection management of the unmanned aerial vehicle is carried out based on the electromagnetic interference source, including electromagnetic database directional and frequency identification.

2. The HIRF protection management method for unmanned aerial vehicles according to claim 1, characterized in that, The identification of electromagnetic interference sources specifically includes: Acquire electromagnetic signals; Frequency band analysis is performed based on the electromagnetic signal and a target database, wherein... The electromagnetic interference source is obtained by extracting the electromagnetic frequency bands that cannot be successfully matched from the target database.

3. The HIRF protection management method for unmanned aerial vehicles according to claim 2, characterized in that, The protection management based on matching the current flight status of the unmanned aerial vehicle with the electromagnetic interference source specifically includes: Acquire the current flight status of the unmanned aerial vehicle to identify state factors; Based on the state factor and the electromagnetic interference source, a protection mechanism is identified, wherein... If the identified state factor is a factor during the flight phase, then a matching level identification and protection mechanism will be used for protection management. If the identified state factor is a takeoff and landing phase factor, then a directional and fixed-frequency identification mechanism is used for protection management.

4. The HIRF protection management method for unmanned aerial vehicles according to claim 3, characterized in that, When the unmanned aerial vehicle (UAV) is in the en route phase of flight, the system manages the corresponding flight control system and sensing system by identifying the electromagnetic interference source based on its level. Specifically, this includes: When the level identification and protection mechanism is matched, the intensity level is identified based on the electromagnetic interference source, wherein, If the intensity level is identified as Level I, the corresponding sensor group will go into sleep mode based on the sensing system. When an intensity level of II is detected, the corresponding sensor group is put into sleep mode based on the sensing system, and a strong interference countermeasure operation is initiated based on the flight control system.

5. The HIRF protection management method for unmanned aerial vehicles according to claim 4, characterized in that, When the unmanned aerial vehicle (UAV) is in the takeoff or landing phase, the avionics system protection management of the UAV is based on the electromagnetic interference source, which includes electromagnetic database directional and frequency identification, specifically including: When the directional frequency protection mechanism is matched, directional frequency band analysis is performed based on the electromagnetic interference source, wherein, Interference frequency bands in different directions from the electromagnetic interference sources are filtered out based on a preset direction; Interference frequency bands of different frequencies from the electromagnetic interference sources are filtered out based on a preset frequency.

6. The HIRF protection management method for unmanned aerial vehicles according to claim 5, characterized in that, When performing protection management based on the directional fixed-frequency identification protection mechanism, if no user terminal command is obtained, a strong interference countermeasure operation is initiated based on the flight control system.

7. A HIRF protection management system for unmanned aerial vehicles, characterized in that, The system includes a memory and a processor. The memory contains a program for managing the HIRF protection of unmanned aerial vehicles (UAVs). When executed by the processor, the UAV HIRF protection management program performs the following steps: Identify sources of electromagnetic interference; Protection management is implemented based on the electromagnetic interference source and the current flight status of the unmanned aerial vehicle, wherein... When the unmanned aerial vehicle is in the flight phase, the level of electromagnetic interference source is identified to manage the flight control system and sensing system of the unmanned aerial vehicle. When the unmanned aerial vehicle is in the take-off and landing phase, the avionics system protection management of the unmanned aerial vehicle is carried out based on the electromagnetic interference source, including electromagnetic database directional and frequency identification.

8. The HIRF protection management system for unmanned aerial vehicles according to claim 7, characterized in that, The identification of electromagnetic interference sources specifically includes: Acquire electromagnetic signals; Frequency band analysis is performed based on the electromagnetic signal and a target database, wherein... The electromagnetic interference source is obtained by extracting the electromagnetic frequency bands that cannot be successfully matched from the target database.

9. The HIRF protection management system for unmanned aerial vehicles according to claim 8, characterized in that, The protection management based on matching the current flight status of the unmanned aerial vehicle with the electromagnetic interference source specifically includes: Acquire the current flight status of the unmanned aerial vehicle to identify state factors; Based on the state factor and the electromagnetic interference source, a protection mechanism is identified, wherein... If the identified state factor is a factor during the flight phase, then a matching level identification and protection mechanism will be used for protection management. If the identified state factor is a takeoff and landing phase factor, then a directional and fixed-frequency identification mechanism is used for protection management.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a method program for managing the HIRF protection of an unmanned aerial vehicle (UAV), which, when executed by a processor, implements the steps of a method for managing the HIRF protection of an UAV as described in any one of claims 1 to 6.

Images