Unmanned aerial vehicle signal control method and system under network communication, electronic equipment and storage medium

Abstract

The invention relates to the technical field of unmanned aerial vehicles, and particularly discloses an unmanned aerial vehicle signal management and control method and system under network communication, electronic equipment and a storage medium, and the method comprises the following steps: S01, a WIFI base station scans an environment WIFI signal state, recognizes an interference channel and an optimal available channel, and generates a trust signal region code; s02, determining to allocate an optimal channel to the WIFI access points of all the unmanned aerial vehicles based on the determined trust signal region codes; s03, all the unmanned aerial vehicles distribute optimal channel identification codes based on the WIFI access points to be connected with a WIFI base station and report WIFI connection states in real time, and the WIFI connection states comprise signal strength, packet loss rate and delay; and S04, the control manager judges whether the WIFI connection state of the unmanned aerial vehicle meets a preset threshold requirement or not, and if yes, the unmanned aerial vehicle is controlled to take off. According to the invention, the signal control of the unmanned aerial vehicle is more intelligent and efficient, and the communication quality and stability of the unmanned aerial vehicle are improved.

Description

Technical Field

[0001] The present invention relates to the field of drone technology, and in particular to a method, system, electronic device, and storage medium for controlling drone signals under network communication. Background Art

[0002] The control of drones is achieved through network communication. Generally, equipment is used to form a local area network covering a certain area. The drones are connected to the control terminal in the area covered by the local area network, so that commands can be input through the terminal to control the drones to complete formation flight missions.

[0003] For example, the Chinese patent, publication number: CN107544528A, discloses a local area network for simultaneous data exchange between a drone and multiple user terminals;

[0004] Chinese patent, publication number: CN111741445A, discloses a drone system and a drone control method.

[0005] Prior art, including the two aforementioned patents, has demonstrated how to establish signal connections between drones and control terminals in a network environment. However, given that drones primarily operate outdoors in complex environments, network signals are inevitably subject to various interferences during transmission. This interference can cause delays in signal reception for some drones within a fleet. Summary of the Invention

[0006] The purpose of the present invention is to provide a method, system, electronic device and storage medium for controlling drone signals under network communication.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a method for controlling drone signals under network communication, comprising the following steps:

[0008] S01, the WIFI base station scans the WIFI signal status of the environment, identifies the interference channel and the best available channel, and generates a trusted signal area code;

[0009] S02. Determine the optimal channel for all UAVs' Wi-Fi access points based on the determined trust signal region code;

[0010] S03. All the drones connect to the WIFI base station based on the optimal channel identification code assigned by the WIFI access point, and report the WIFI connection status in real time, wherein the WIFI connection status includes signal strength, packet loss rate, and delay;

[0011] S04. The control manager determines whether the drone's Wi-Fi connection status meets a preset threshold requirement. If so, the control manager controls the drone to take off. If not, the control manager cancels the drone's current connection, activates the drone's reconnection mechanism, and returns to step S03.

[0012] During the execution process, the control manager dynamically adjusts the pointing angle of the WIFI base station's intelligent rotating directional antenna according to the drone's flight path information and expected return position information, so that the drone is in sync with the pointing angle.

[0013] Preferably, the step S01 of identifying the interference channel and the optimal available channel includes:

[0014] S11, the interference detection antenna in the control manager is parked at any angle, and the area code, signal strength and signal coordinate angle of all signals obtained at the current angle are obtained;

[0015] S12. Generate a first data set by collecting the region codes, signal strengths, and signal coordinate angles of all signals acquired at any angle.

[0016] S13. Analyzing the differences between the electromagnetic interference intensities detected at different angles based on the obtained plurality of first data sets, to obtain an intersection data set and a plurality of complementary data sets at any angle;

[0017] S14. Determine the main frequency WiFi signal, and repeat step S11 to obtain the WiFi signal strength of the interference detection antenna at any angle, and generate a rejection mechanism for the corresponding angle based on the intersection data set and the complement data sets at the multiple angles.

[0018] Preferably, the signal coordinate angle is based on a three-dimensional coordinate grid created by the control manager for the origin.

[0019] Preferably, determining in S02 to allocate optimal channels to the WIFI access points of all drones includes:

[0020] S21. Determine an operating frequency band of the WIFI access point, where the operating frequency band includes a first frequency band and a second frequency band;

[0021] S22, determining that each WIFI access point can access a predetermined number of drones;

[0022] S23. Each drone connected to the WIFI access point communicates with the control manager in the first frequency band and / or the second frequency band.

[0023] Preferably, in step S03, all the drones connect to the WIFI base station based on the optimal channel identification code assigned by the WIFI access point, including accessing the corresponding first frequency band and the second frequency band corresponding to each WIFI access point obtained in step S02, so as to respectively generate a trust signal area code (the code of the trust channel assigned to the first frequency band, or the code of the trust channel assigned to the second frequency band).

[0024] Preferably, the drone reconnection mechanism in step S04 is that when the number of drone disconnected WIFI reaches a set threshold, the control manager starts the reconnection mechanism, including rescanning available channels, adjusting the directional antenna direction, restarting the WIFI communication module, etc., and attempts to re-establish the connection between the drone and the WIFI base station.

[0025] Preferably, step S04, when executing and starting the drone reconnection mechanism and returning to step S03, also includes automatically triggering a troubleshooting and recovery process when a drone communication failure is detected, including checking the drone communication module status, updating the firmware and restarting the drone.

[0026] A system for controlling drone signals under network communication, used to implement the method for controlling drone signals under network communication described in the above scheme, is characterized by comprising:

[0027] A control manager that performs complex signal processing and resource management tasks;

[0028] The Wi-Fi base station consists of at least two Wi-Fi access points (APs). Each AP is equipped with an intelligent rotating directional antenna that can automatically adjust its pointing angle based on the drone's location and flight path to improve communication efficiency and stability. The Wi-Fi base station also has a channel detection and allocation module for real-time scanning and analysis of Wi-Fi signal status in the environment, identifying interference channels and the best available channels.

[0029] A drone cluster consisting of multiple drones establishes a connection with the WIFI base station based on the 2.4GHz and 5GHz frequency bands, and monitors the connection status with the WIFI base station in real time and provides feedback.

[0030] In the above technical solution, the present invention provides a method, system, electronic device and storage medium for controlling drone signals under network communication, which has the following beneficial effects: it can significantly improve the communication quality and stability of the drone, enhance the flexibility and scalability of the system, improve resource utilization and energy efficiency, improve the safety and reliability of the system, optimize flight missions and resource management, and enhance the adaptability and robustness of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments described in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0032] Figure 1 Flowchart provided for an embodiment of the present invention;

[0033] Figure 2 This is an architectural diagram provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0034] 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.

[0035] Example 1

[0036] like Figure 1 As shown, a method for controlling drone signals under network communication includes the following steps:

[0037] S01, the WIFI base station scans the WIFI signal status of the environment, identifies the interference channel and the best available channel, and generates a trusted signal area code;

[0038] S02. Determine the optimal channel for all UAVs' Wi-Fi access points based on the determined trust signal region code;

[0039] S03. All drones connect to the WIFI base station based on the optimal channel identification code assigned by the WIFI access point and report the WIFI connection status in real time. The WIFI connection status includes signal strength, packet loss rate and delay;

[0040] S04. The control manager determines whether the drone's Wi-Fi connection status meets a preset threshold requirement. If so, the control manager controls the drone to take off. If not, the control manager cancels the drone's current connection, activates the drone's reconnection mechanism, and returns to step S03.

[0041] During the execution process, based on the UAV's flight path information and expected return position information, the control manager dynamically adjusts the pointing angle of the WIFI base station's intelligent rotating directional antenna to keep the UAV in sync with the pointing angle.

[0042] The above technologies can significantly improve the communication quality and stability of drones, enhance the flexibility and scalability of the system, improve resource utilization and energy efficiency, improve the safety and reliability of the system, optimize flight missions and resource management, and enhance the adaptability and robustness of the system.

[0043] Furthermore, the step S01 of identifying the interference channel and the best available channel includes:

[0044] S11. Controlling the interference detection antenna in the manager to stop at any angle and obtaining the region code, signal strength, and signal coordinate angle of all signals obtained at the current angle;

[0045] S12. Generate a first data set by combining the region codes, signal strengths, and signal coordinate angles of all signals acquired at any angle.

[0046] S13. Analyzing the differences between the electromagnetic interference intensities detected at different angles based on the multiple first data sets obtained, to obtain an intersection data set and a plurality of complementary data sets at any angle;

[0047] S14. Determine the main frequency WiFi signal and repeat step S11 to obtain the WiFi signal strength of the interference detection antenna at any angle, and generate a rejection mechanism for the corresponding angle based on the intersection data set and the complementary data sets at multiple angles.

[0048] It can accurately identify interfering channels and optimal available channels in the environment. This helps reduce interference during drone communications and improve communication quality and stability. In particular, by generating intersection and complement datasets and developing rejection mechanisms based on these datasets, potential interference sources can be further eliminated, ensuring that drones communicate using the optimal channel.

[0049] It's important to note that the signal coordinate angle is based on the 3D graticule coordinates created by the control manager for the origin. This makes communication between the drone and the Wi-Fi base station more accurate and reliable. This method allows the drone's position to be accurately determined, optimizing antenna pointing angles and channel allocation.

[0050] Furthermore, the determination in S02 above of allocating optimal channels to the Wi-Fi access points of all drones includes:

[0051] S21. Determine the operating frequency band of the WIFI access point, where the operating frequency band includes a first frequency band and a second frequency band;

[0052] S22, determining that each WIFI access point can access a predetermined number of drones;

[0053] S23. The drone connected to each WIFI access point communicates with the control manager in the first frequency band and / or the second frequency band.

[0054] Specifically, by assigning operating frequency bands (first and second bands) to Wi-Fi access points and determining the number of drones that can access each access point, this method can efficiently manage communications between drones and Wi-Fi base stations. This helps avoid communication congestion and signal interference, thereby improving communication efficiency.

[0055] Furthermore, in step S03, all drones connect to the WIFI base station based on the optimal channel identification code assigned by the WIFI access point, including accessing the corresponding first frequency band and the second frequency band of each WIFI access point obtained in step S02 and generating a trust signal area code (the code of the trust channel assigned to the first frequency band, or the code of the trust channel assigned to the second frequency band).

[0056] By assigning a trusted channel to each Wi-Fi access point and generating a corresponding trusted signal region code, this method ensures more secure and reliable communication between drones and Wi-Fi base stations. This helps prevent unauthorized drones from accessing the network, thereby improving system security.

[0057] Furthermore, the drone reconnection mechanism in step S04 is that when the number of drone disconnections from WIFI reaches a set threshold, the control manager starts the reconnection mechanism, including rescanning available channels, adjusting the directional antenna direction, restarting the WIFI communication module, etc., and tries to re-establish the connection between the drone and the WIFI base station.

[0058] In addition, the control manager also has a fault recovery mechanism. When a drone communication failure is detected, it can automatically trigger the troubleshooting and recovery process, including checking the status of the drone communication module, updating the firmware, restarting the drone, etc.

[0059] When the number of disconnected Wi-Fi connections reaches a set threshold, the control manager activates a reconnection mechanism, attempting to reestablish the connection between the drone and the Wi-Fi base station. This helps reduce communication failures and improves system stability and reliability. Furthermore, a fault recovery mechanism automatically triggers troubleshooting and recovery processes when a drone communication failure is detected, further improving the system's resilience and maintenance efficiency.

[0060] Example 2

[0061] Combine Figure 2 As shown, a system for controlling drone signals under network communication is used to implement the method for controlling drone signals under network communication of the first embodiment, including:

[0062] A control manager that performs complex signal processing and resource management tasks;

[0063] The Wi-Fi base station consists of at least two Wi-Fi access points (APs). Each AP is equipped with an intelligent rotating directional antenna that can automatically adjust its pointing angle based on the drone's location and flight path to improve communication efficiency and stability. The Wi-Fi base station also has a channel detection and allocation module for real-time scanning and analysis of Wi-Fi signal status in the environment, identifying interference channels and the best available channels.

[0064] A drone swarm consisting of multiple drones establishes a connection with a Wi-Fi base station based on the 2.4GHz and 5GHz frequency bands, and monitors the connection status with the Wi-Fi base station in real time and provides feedback.

[0065] The above technology enables comprehensive control of drone signals. The control manager performs complex signal processing and resource management tasks, while the Wi-Fi base station features a channel detection and allocation module that scans and analyzes Wi-Fi signal conditions in the environment in real time, providing optimal channels for drones. The drone swarm establishes connections with the Wi-Fi base station using the 2.4GHz and 5GHz frequency bands, monitoring the connection status in real time and providing feedback. This system architecture makes drone signal control more intelligent and efficient, helping to improve the quality and stability of drone communications.

[0066] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0067] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0068] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0069] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0070] Specific embodiments are used in the present invention to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core ideas. At the same time, for those skilled in the art, according to the ideas of the present invention, there may be changes in the specific implementation methods and application scopes. In summary, the contents of this specification should not be understood as limiting the present invention.

[0071] The embodiments of the present application also provide a specific implementation of an electronic device capable of implementing all steps of the method in the above embodiments. The electronic device specifically includes the following contents:

[0072] Processor, memory, communications interface, and bus;

[0073] The processor, memory, and communication interface communicate with each other via the bus.

[0074] The processor is used to call the computer program in the memory, and when the processor executes the computer program, all the steps in the method in the above embodiment are implemented.

[0075] The embodiments of the present application also provide a computer-readable storage medium capable of implementing all the steps of the method in the above embodiments. The computer-readable storage medium stores a computer program, which implements all the steps of the method in the above embodiments when executed by a processor.

[0076] Each embodiment in this specification is described in a progressive manner. The same or similar parts between the embodiments can be referred to in conjunction with each other. Each embodiment focuses on the differences from other embodiments. In particular, for hardware + program embodiments, since they are basically similar to method embodiments, the description is relatively simple. For relevant parts, refer to the partial description of the method embodiment. Although the embodiments of this specification provide method operation steps as described in the embodiments or flow charts, more or fewer operation steps may be included based on conventional or non-inventive means. The order of steps listed in the embodiments is only one way of executing the steps among many, and does not represent the only execution order. When an actual device or terminal product is executed, the method can be executed sequentially or in parallel according to the embodiments or the figures (for example, in a parallel processor or multi-threaded processing environment, or even a distributed data processing environment). The terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, product or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, product or device. Without further limitation, it is not excluded that there are other identical or equivalent elements in the process, method, product or device including the elements. For ease of description, the above devices are described as being functionally divided into various modules and described separately. Of course, when implementing the embodiments of this specification, the functions of each module can be implemented in the same or multiple software and / or hardware, or the modules that implement the same function can be implemented by a combination of multiple sub-modules or sub-units. The device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components that can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, and can be electrical, mechanical or other forms. The present invention is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or box in the flowcharts and / or block diagrams, as well as the combination of processes and / or boxes in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce the instructions for implementing the process Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0077] Those skilled in the art will appreciate that the embodiments of this specification may be provided as methods, systems, or computer program products. Therefore, the embodiments of this specification may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the embodiments of this specification may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. In the description of this specification, the reference terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the embodiments of this specification.

[0078] In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples, unless they contradict each other. The above is only an embodiment of the embodiment of this specification and is not intended to limit the embodiment of this specification. For those skilled in the art, the embodiment of this specification may have various changes and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiment of this specification shall be included within the scope of the claims of the embodiment of this specification.

Claims

1. A method for controlling drone signals under network communication, characterized in that: The following steps are involved: S01, the WIFI base station scans the WIFI signal status of the environment, identifies the interference channel and the best available channel, and generates a trusted signal area code; S02, determining to allocate optimal channels to the WIFI access points of all drones based on the determined trust signal area code; S03, all the drones are connected to the WIFI base station based on the optimal channel identification code allocated by the WIFI access point, and report the WIFI connection status in real time, wherein the WIFI connection status includes signal strength, packet loss rate and delay; S04, the control manager determines whether the WIFI connection status of the drone meets the preset threshold requirement. If so, the drone is controlled to take off. If not, the current connection of the drone is cancelled, the drone reconnection mechanism is started, and the process returns to step S03; During the execution process, according to the UAV flight path information and the expected return position information, the control manager dynamically adjusts the pointing angle of the WIFI base station intelligent rotating directional antenna to make the UAV in sync with the pointing angle.

2. The method for controlling drone signals under network communication according to claim 1, characterized in that: The step S01 of identifying the interference channel and the best available channel comprises: S11, the interference detection antenna in the control manager stops at any angle, and obtains the area code, signal strength and signal coordinate angle of all signals obtained at the current angle; S12, generating a first data set by collecting the area codes, signal strengths and signal coordinate angles of all the signals acquired at any angle; S13, obtaining an intersection data set and a complement data set at any angle based on the differences between the electromagnetic interference intensities detected at different angles according to the obtained multiple first data sets; S14, determining the main frequency WIFI signal, and repeating step S11 to obtain the WIFI signal strength of the interference detection antenna at any angle, and generating a rejection mechanism for the corresponding angle based on the intersection data set and the complement data sets at any angles.

3. The method for controlling drone signals under network communication according to claim 2, characterized in that: The signal coordinate angle is based on the graticule three-dimensional coordinate created by the control manager for the origin.

4. The method for controlling drone signals under network communication according to claim 1, characterized in that: Determining in S02 to allocate optimal channels to the WIFI access points of all drones includes: S21, determining a working frequency band of the WIFI access point, where the working frequency band includes a first frequency band and a second frequency band; S22, determining that each of the WIFI access points can access a predetermined number of drones; S23. Each drone connected to the WIFI access point communicates with the control manager in the first frequency band and / or the second frequency band.

5. The method for controlling drone signals under network communication according to claim 1, characterized in that: In the step S03, all the drones connect to the WIFI base station based on the optimal channel identification code assigned by the WIFI access point, including accessing the corresponding first frequency band and the second frequency band corresponding to the assigned trust channel obtained in the step S02 for each WIFI access point, so as to generate a trust signal area code (the code of the trust channel assigned to the first frequency band, or the code of the trust channel assigned to the second frequency band) respectively.

6. The method for controlling drone signals under network communication according to claim 1, characterized in that: The drone reconnection mechanism in step S04 is that when the number of drone disconnections from WIFI reaches a set threshold, the control manager starts the reconnection mechanism, including rescanning available channels, adjusting the directional antenna direction, restarting the WIFI communication module, etc., to try to re-establish the connection between the drone and the WIFI base station.

7. The method for controlling drone signals under network communication according to claim 1, characterized in that: The step S04 starts the drone reconnection mechanism and returns to step S03, and also includes automatically triggering a troubleshooting and recovery process when a drone communication failure is detected, including checking the drone communication module status, updating the firmware and restarting the drone.

8. A control system for drone signals under network communication, used to implement the control method for drone signals under network communication according to any one of claims 1 to 7, characterized in that: include: A control manager that performs complex signal processing and resource management tasks; The WIFI base station is composed of at least two WIFI access point APs, each of which is equipped with an intelligent rotating directional antenna, which can automatically adjust the pointing angle according to the position and flight path of the drone to improve communication efficiency and stability; the WIFI base station also has a channel detection and allocation module for real-time scanning and analysis of the WIFI signal status in the environment, and identifying interference channels and the best available channels; A drone cluster consisting of multiple drones establishes a connection with the WIFI base station based on the 2.4GHz and 5GHz frequency bands, and monitors the connection status with the WIFI base station in real time and provides feedback.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps of the method for controlling drone signals under network communication according to any one of claims 1 to 7 are implemented.

10. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for controlling drone signals under network communication described in any one of claims 1 to 7 are implemented.

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