Unmanned aerial vehicle long-distance control method and platform

Abstract

The invention discloses an unmanned aerial vehicle long-distance control method and platform, and relates to the technical field of unmanned aerial vehicle flight, and the control method comprises the steps: collecting flight data and environment information, and transmitting the flight data and environment information to a remote control center through a communication module; the remote control center performs preliminary analysis on the collected flight data and environment information; according to the data analysis result, the data analysis module generates a corresponding adjustment instruction; the remote control center sends the generated adjustment instruction to the unmanned aerial vehicle terminal through the communication module; and after the unmanned aerial vehicle terminal receives the adjustment instruction, corresponding adjustment operation is executed, and long-distance flight of the unmanned aerial vehicle is stably controlled through the scheme.

Description

Technical Field

[0001] The present invention relates to the field of unmanned aerial vehicle flight technology, and in particular to a method and platform for controlling an unmanned aerial vehicle over a long distance. Background Art

[0002] With the advancement of science and technology, drone technology is increasingly being used in military and civilian fields. The existing drone control methods usually rely on short-range remote control or preset flight plans. As the flight distance of drones increases, there are problems with the safety of long-distance drone flights. Summary of the invention

[0003] The purpose of the present invention is to overcome the shortcomings of the prior art and provide a method and platform for long-distance control of an unmanned aerial vehicle. Compared with the prior art, the solution disclosed in the present invention can solve the above-mentioned technical problems.

[0004] The present invention is implemented by the following technical scheme: The present invention discloses a long-distance control method for an unmanned aerial vehicle, the control method comprising:

[0005] Collect flight data and environmental information, and send them to the remote control center through the communication module;

[0006] The remote control center conducts preliminary analysis of the collected flight data and environmental information;

[0007] According to the data analysis results, the data analysis module generates corresponding adjustment instructions;

[0008] The remote control center sends the generated adjustment instructions to the UAV terminal through the communication module;

[0009] After receiving the adjustment instruction, the UAV terminal performs the corresponding adjustment operation.

[0010] Preferably, the preliminary analysis includes:

[0011] Compare the actual flight trajectory of the UAV terminal with the planned trajectory, calculate the deviation between the two, and generate trajectory correction instructions;

[0012] and / or,

[0013] Use the received environmental information to assess the risk level of the current flight environment, including meteorological conditions and flight route terrain, and generate environmental adaptability adjustment instructions;

[0014] and / or,

[0015] Monitor flight data in real time, identify abnormal flight actions and sensor data, and generate emergency processing instructions.

[0016] Preferably, the flight data includes at least one of speed, altitude, and attitude;

[0017] Environmental information includes meteorological conditions and flight route terrain, and meteorological information includes at least one of temperature, humidity, air pressure, and wind direction.

[0018] Preferably, the step of the data analysis module generating the corresponding adjustment instruction includes:

[0019] Integrate trajectory correction instructions, environmental adaptability adjustment instructions and emergency handling instructions;

[0020] Check whether there are conflicts between different instructions. If there are conflicts, sort and adjust the priority of the instructions according to the preset priority rules to complete the integration of the instruction set;

[0021] The integrated instruction set is optimized, multiple identical or similar instructions are identified and merged, and integrated into adjustment instructions. Preferably, when there are conflicts between different instructions, emergency handling instructions are given the first priority, trajectory correction instructions are given the second priority, and environmental adaptability adjustment instructions are given the third priority.

[0022] Preferably, the emergency handling instructions include:

[0023] Identify changes in the flight altitude of the drone terminal;

[0024] When the flight altitude of the drone terminal is detected to be decreasing and there is a conflict with the command from the remote control center, it is identified as an abnormal state;

[0025] Under abnormal conditions, the drone terminal will throw the mounted signal terminal directly below the drone terminal.

[0026] Preferably, the signal terminal comprises a sound alarm device, and / or a light alarm device, and / or a smoke generating device.

[0027] The present invention also discloses a long-distance control platform for an unmanned aerial vehicle, the control platform comprising:

[0028] A data collection module configured to collect flight data and environmental information of the UAV terminal;

[0029] A communication module configured for bidirectional data transmission between the UAV terminal and the remote control center via the communication module;

[0030] A data analysis module configured to analyze the data and generate adjustment instructions;

[0031] The emergency response module is configured to trigger and execute corresponding emergency measures when an abnormal flight data is detected or an emergency processing instruction is received.

[0032] Preferably, the control platform further comprises a storage unit configured to store all collected flight data, environmental information and generated instruction records.

[0033] The present invention discloses a method and platform for controlling a drone over long distances. Compared with the prior art, the present invention has the following advantages:

[0034] In this application document, the sensors on the drone collect key flight data in real time, such as speed, altitude and attitude, as well as important environmental information, such as meteorological conditions and terrain. After being encoded, compressed and encrypted by the communication module, these data are quickly transmitted to the remote control center to ensure the integrity and security of the data; at the remote control center, the received data will be initially analyzed. This includes comparing the actual flight trajectory of the drone with the predetermined trajectory, timely discovering and correcting deviations; assessing the risks of the current flight environment in order to make adaptive adjustments; and real-time monitoring of flight data, identifying and handling any abnormalities; based on the results of the preliminary analysis, the data analysis module will generate corresponding adjustment instructions, which will be sent back to the drone terminal through the communication module. After receiving the instructions, the drone will immediately perform the corresponding adjustment operations, such as adjusting the flight trajectory, changing the flight speed or altitude, or even starting the emergency procedure to deal with possible emergencies. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 This is a flow chart of a long distance control method in one embodiment;

[0036] Figure 2 A flow chart for generating corresponding adjustment instructions;

[0037] Figure 3 Schematic diagram of the appearance of a drone terminal in one embodiment. DETAILED DESCRIPTION

[0038] The following description with reference to the accompanying drawings is provided to assist in a comprehensive understanding of various exemplary embodiments of the present disclosure as defined by the claims and their equivalents. The description includes various details to assist in understanding, but these details are to be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications may be made to the various embodiments described herein without departing from the scope and spirit of the present disclosure. In addition, descriptions of well-known functions and structures may be omitted for clarity and brevity.

[0039] It will be understood that when an element or layer is referred to as being “on,” “connected to,” or “coupled to” another element or layer, it may be directly on, directly connected to, or coupled to the other element or layer, or one or more intervening elements or layers may also be present. When an element is referred to as being “directly on,” “directly connected to,” or “directly coupled to” another element or layer, there are no intervening elements or layers.

[0040] It will be understood that, although the terms first, second, third, etc. may be used in this article to describe various elements, components, regions, layers and / or sections, these elements, components, regions, layers and / or sections should not be limited to these terms. These terms are used to distinguish an element, component, region, layer or section from another element, component, region, layer or section. Therefore, without departing from the teachings of the exemplary embodiments, the first element, first component, first region, first layer or first section discussed below may be referred to as the second element, second component, second region, second layer or second section. In the accompanying drawings, for clarity of explanation, the sizes of various elements, layers, etc. may be exaggerated.

[0041] Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

[0042] The drone in this application document refers to any autonomous or semi-autonomous vehicle that can perform certain functions without the actual presence of a human pilot. Except as specifically limited in some embodiments, the drone terminal can take various forms. For example, it can take the form of a fixed-wing aircraft, a glider, a tail-seat aircraft, a jet aircraft, a ducted fan aircraft, a lighter-than-air airship (such as a blimp or a steerable balloon), a rotary-wing drone (such as a helicopter or a multi-axis drone) and / or a flapping-wing aircraft.

[0043] Please refer to Figure 1 , Figure 1 The present invention discloses a long-distance control method for an unmanned aerial vehicle, the control method comprising:

[0044] Step 1: Collect flight data and environmental information, and send them to the remote control center through the communication module;

[0045] Specifically, flight data includes but is not limited to key parameters such as the speed, altitude and attitude of the drone. These flight data parameters reflect the flight status and performance of the drone. Environmental information includes external factors such as meteorological conditions and the terrain of the flight route. Meteorological conditions include temperature, humidity, air pressure, wind direction, etc. Environmental factors affect the flight safety of the drone. In one embodiment, flight data and environmental information are detected by various sensors and detection equipment carried on the drone. For example, the speed sensor can monitor the flight speed of the drone in real time, the altitude sensor is used to measure the flight altitude of the drone, and the attitude sensor can sense the tilt angle and steering state of the drone. The meteorological sensor and terrain perception equipment are responsible for collecting relevant information about the surrounding environment.

[0046] The collected flight data and environmental information need to be sent to the remote control center in real time through the communication module. During the transmission process, the communication module will perform necessary encoding and compression processing on the data to improve transmission efficiency and accuracy. In one embodiment, in order to ensure the security of data transmission, the communication module will also use encryption technology to protect the data to prevent the data from being stolen or tampered with during transmission.

[0047] Step 2: The remote control center conducts preliminary analysis of the collected flight data and environmental information;

[0048] For example, the preliminary analysis may include at least one of the following:

[0049] Trajectory comparison and correction: The actual flight trajectory of the drone terminal is compared with the planned trajectory, and the deviation between the two is calculated. If the deviation exceeds the allowable range, the system will generate a trajectory correction instruction to guide the drone to adjust its flight route to ensure that it flies according to the planned trajectory.

[0050] Environmental risk assessment: Use the received environmental information, such as weather conditions and flight route terrain, to assess the risk level of the current flight environment. For example, when bad weather or complex terrain is detected, the system will generate environmental adaptability adjustment instructions to remind the drone to take appropriate measures to deal with potential risks.

[0051] Flight data monitoring and abnormality identification: Real-time monitoring of flight data to promptly detect any abnormalities or potential problems. For example, when an abnormal speed fluctuation or abnormal attitude of the drone is detected, the system will immediately generate emergency processing instructions to guide the drone to take emergency measures to ensure flight safety.

[0052] Step 3: According to the data analysis results, the data analysis module generates corresponding adjustment instructions;

[0053] Specifically, based on the results of the preliminary analysis, the data analysis module further generates corresponding adjustment instructions. These instructions may correct the flight deviation of the drone, adapt to changing environmental conditions, and respond to possible emergencies. When generating adjustment instructions, the data analysis module comprehensively considers multiple factors, including the current state of the drone, environmental conditions, predetermined mission objectives, and safety constraints, and generates an adjustment instruction set that meets the mission requirements and ensures flight safety.

[0054] Step 4: The remote control center sends the generated adjustment command to the drone terminal through the communication module;

[0055] Step 5: After receiving the adjustment command, the drone terminal performs the corresponding adjustment operation, which may include adjusting the flight trajectory, changing the flight altitude or speed, initiating emergency procedures, etc., depending on the content of the received command.

[0056] In one embodiment, the preliminary analysis includes:

[0057] Compare the actual flight trajectory of the UAV terminal with the planned trajectory, calculate the deviation between the two, and generate trajectory correction instructions;

[0058] When the drone performs a flight mission, its actual flight trajectory may deviate from the predetermined trajectory due to various factors (such as airflow, mechanical errors, etc.). In order to ensure that the drone can accurately fly along the predetermined route, in one embodiment, the preliminary analysis step compares the actual flight trajectory of the drone terminal with the predetermined trajectory.

[0059] The above comparison process includes the application of a high-precision positioning system. Positioning systems (such as GPS, Beidou, etc.) can provide real-time location information of the drone, including longitude, latitude, and altitude. The location information is matched and compared with the predetermined trajectory to calculate the deviation between the two; the calculation of the deviation may involve multiple dimensions, including horizontal distance deviation, height deviation, and heading deviation. When the deviation value is calculated, the system will further determine whether these deviations are within an acceptable range. If the deviation exceeds the predetermined threshold, it indicates that the flight trajectory of the drone has deviated from the predetermined route. At this time, the system will generate a trajectory correction instruction; the specific content of the trajectory correction instruction depends on the type and size of the deviation. For example, if the horizontal distance deviation is large, the instruction may require the drone to adjust the heading to realign with the predetermined route; if the height deviation is significant, the instruction may require the drone to rise or descend to restore the predetermined flight altitude.

[0060] In another embodiment, the risk level of the current flight environment is evaluated using the received environmental information, the environmental information including meteorological conditions and flight route terrain, and an environmental adaptability adjustment instruction is generated;

[0061] Specifically, meteorological conditions include key parameters such as wind speed, wind direction, temperature, and humidity to determine whether the current weather conditions are suitable for drone flight. For example, in severe weather conditions such as strong winds or heavy rain, the system will generate corresponding environmental adaptability adjustment instructions, requiring the drone to take measures such as avoidance or return; in terms of flight route terrain, analyze the terrain features of the area that the drone is about to fly over, such as mountains, canyons, and waters. These terrain features may place specific requirements on the drone's flight altitude, speed, etc. For example, when flying over a mountain, the system may need to generate instructions requiring the drone to increase its flight altitude to avoid the risk of hitting the mountain; when flying over water, it may need to lower the flight altitude to ensure a safe distance from the water surface.

[0062] In yet another embodiment, flight data is monitored in real time, abnormal flight actions and sensor data are identified, and emergency processing instructions are generated.

[0063] Specifically, in terms of flight movements, key parameters such as the speed, acceleration, and attitude angle of the drone are monitored. Abnormal fluctuations in these parameters (such as a sudden drop in speed, a sharp change in attitude angle, etc.) indicate that the drone may have encountered some kind of emergency (such as mechanical failure, external impact, etc.). At this time, the system will immediately generate emergency processing instructions, requiring the drone to take emergency avoidance, landing, or start the backup system to ensure safety. In terms of sensor data, check whether the output data of each sensor (such as gyroscopes, accelerometers, barometers, etc.) is normal. When the sensor data is abnormal, some parts of the drone are in poor working condition or have failed. For example, abnormal barometer data may indicate that there is a problem with the drone's altitude measurement; abnormal gyroscope data may affect the drone's attitude control. Once abnormal sensor data is found, the system will also generate emergency processing instructions to deal with potential risks.

[0064] Please refer to Figure 2 In another embodiment, the step of generating corresponding adjustment instructions by the data analysis module includes:

[0065] Step A: Integrate trajectory correction instructions, environmental adaptability adjustment instructions and emergency handling instructions;

[0066] Specifically, trajectory correction instructions are usually generated based on comparative analysis of real-time positioning data and target trajectory. When the system detects a deviation between the actual trajectory and the target trajectory, it will generate a trajectory correction instruction to guide the UAV terminal back to the predetermined path. Environmental adaptability adjustment instructions are generated based on changes in the external environment. For example, when the system detects changes in environmental parameters such as temperature, humidity, and light, it will generate corresponding adjustment instructions. Emergency handling instructions are generated in the event of an emergency. For example, when the system detects a fault, anomaly, or potential safety risk, it will immediately generate an emergency handling instruction. In step A, these three types of instructions are first integrated together.

[0067] Step B: Check whether there is a conflict between different instructions. If there is a conflict, sort and adjust the priority of the instructions according to the preset priority rules to complete the integration of the instruction set;

[0068] Specifically, after integrating various types of instructions, check whether there are conflicts between these instructions. Instruction conflicts may arise from the demand for the same system resources by different instructions, or from the logical inconsistency of different instructions. For example, one instruction may require the system to speed up, while another instruction may require the system to slow down or stop, which constitutes a conflict between instructions; once a conflict is detected, the system will prioritize and adjust the instructions according to preset priority rules. These priority rules may be based on a variety of factors, such as the urgency of the instructions, the impact on system security, and the authority of the source of the instructions. Through priority sorting, the system can ensure that more important instructions are executed first when conflicts occur, thereby ensuring the stability and security of the overall system. After completing the priority sorting, the system will integrate the instruction set. This step is designed to eliminate conflicts and ensure the logical consistency and executableness of all instructions. The integrated instruction set will serve as the basis for subsequent optimization processing;

[0069] Optimization identifies and merges multiple identical or similar instructions to reduce redundancy and improve efficiency. For example, if there are multiple instructions that require the system to adjust to a certain state, these instructions can be merged into one instruction, thereby reducing the burden on the system and improving the response speed; Optimization also includes logical verification and performance evaluation of the instruction set. Logic verification aims to ensure the logical consistency and correctness of the instruction set to avoid contradictions or errors during execution. Performance evaluation is to measure the impact of the instruction set on system performance so that further optimization can be performed when necessary.

[0070] Step C: Optimize the integrated instruction set, identify and merge multiple identical or similar instructions, and integrate them into adjustment instructions.

[0071] In one embodiment, when there is a conflict between different instructions, the emergency handling instruction has the first priority, the trajectory correction instruction has the second priority, and the environmental adaptability adjustment instruction has the third priority;

[0072] Specifically, the emergency handling instruction has the highest priority in the system and is triggered when the system detects an emergency, such as when the drone encounters a sudden obstacle, mechanical failure, or a sudden drop in battery power. Since these situations may directly threaten the safety of the drone, the system must respond immediately and perform corresponding emergency avoidance, landing, or start-up of the backup system. The priority of the emergency handling instruction ensures that the drone can respond quickly when faced with an emergency and minimize potential damage; the trajectory correction instruction ranks second in the priority sorting. It is used to correct the trajectory deviation of the drone during flight to ensure that it can fly accurately along the predetermined route. This priority setting ensures that the drone can maintain the accuracy of the flight trajectory as much as possible when conditions permit while avoiding danger in an emergency; the environmental adaptability adjustment instruction is at the lowest position in the priority sorting. According to changes in the external environment (such as meteorological conditions, terrain, etc.), the flight state of the drone is adjusted to improve its adaptability and flight efficiency. In one embodiment, the generation of various instructions is monitored in real time, and conflicts between instructions are identified through a built-in logical judgment mechanism. Once a conflict is detected, the system will immediately sort and adjust according to the preset priority rules.

[0073] In one embodiment, the emergency handling instructions include:

[0074] Identify changes in the flight altitude of the drone terminal;

[0075] In the above steps, the height detection is achieved through barometers, lidar or ultrasonic sensors. These sensors can continuously measure the height of the drone relative to the ground and transmit the data to the drone. After receiving the height data, the drone performs real-time analysis to identify any abnormal height changes. For example, if the drone descends rapidly in a short period of time, this may mean that there is a mechanical failure, low battery or external interference.

[0076] When the flight altitude of the drone terminal is detected to be decreasing and there is a conflict with the command from the remote control center, it is identified as an abnormal state;

[0077] For example, when the system detects that the flight altitude of the drone terminal has dropped, and this change conflicts with the instructions issued by the remote control center, the system will immediately identify this as an abnormal state. The "conflict state" here refers to the actual behavior of the drone being inconsistent with the expected instructions of the remote control center. For example, the remote control center may instruct the drone to maintain the current altitude or ascend, but in fact the drone is descending.

[0078] Please refer to Figure 3 In an abnormal state, the drone terminal 1 throws the mounted signal terminal 2 directly below the drone terminal. Figure 3 Position A in the middle is the mounting position of the signal terminal 2, wherein the signal terminal includes a sound alarm device, and / or a light alarm device, and / or a smoke generating device.

[0079] Specifically, the signal terminal is a multifunctional device, which may include a sound alarm device, a light alarm device and / or a smoke generating device. These devices are activated in emergency situations to provide various forms of warning signals. The sound alarm device can emit a high-decibel alarm to attract the attention of people around; the light alarm device provides a visual warning through flashing strong light; and the smoke generating device can release obvious smoke signals to further enhance the warning effect. Throwing signal terminals not only provides ground personnel with warnings in various forms such as sound, light or smoke, so that they can take avoidance measures in time, but also facilitates users to quickly locate and find drone terminals that may fall. In addition, by separating the signal terminal and the drone by throwing, it can effectively prevent the drone from being damaged by impact during the fall, causing the signal terminal to fail to start normally.

[0080] The present invention also discloses a long-distance control platform for an unmanned aerial vehicle, the control platform comprising:

[0081] A data collection module configured to collect flight data and environmental information of the UAV terminal;

[0082] A communication module configured for bidirectional data transmission between the UAV terminal and the remote control center via the communication module;

[0083] A data analysis module configured to analyze the data and generate adjustment instructions;

[0084] The emergency response module is configured to trigger and execute corresponding emergency measures when an abnormal flight data is detected or an emergency processing instruction is received.

[0085] Furthermore, the control platform also includes a storage unit, which is configured to store all collected flight data, environmental information and generated instruction records.

[0086] In summary, in this application document, the sensors on the drone collect key flight data in real time, such as speed, altitude and attitude, as well as important environmental information, such as meteorological conditions and terrain. After being encoded, compressed and encrypted by the communication module, these data are quickly transmitted to the remote control center to ensure the integrity and security of the data; at the remote control center, the received data will be initially analyzed. This includes comparing the actual flight trajectory of the drone with the predetermined trajectory, timely discovering and correcting deviations; assessing the risks of the current flight environment in order to make adaptive adjustments; and real-time monitoring of flight data, identifying and handling any abnormalities; based on the results of the preliminary analysis, the data analysis module will generate corresponding adjustment instructions, which will be sent back to the drone terminal through the communication module. After receiving the instructions, the drone will immediately perform the corresponding adjustment operations, such as adjusting the flight trajectory, changing the flight speed or altitude, or even starting the emergency procedure to deal with possible emergencies.

[0087] The above are only preferred specific implementation modes of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solutions and inventive concepts of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

[0088] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article 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, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

Claims

1. A method for long-distance control of an unmanned aerial vehicle, characterized in that: The control method comprises: Collect flight data and environmental information, and send them to the remote control center through the communication module; The remote control center conducts preliminary analysis of the collected flight data and environmental information; According to the data analysis results, the data analysis module generates corresponding adjustment instructions; The remote control center sends the generated adjustment instructions to the UAV terminal through the communication module; After receiving the adjustment instruction, the UAV terminal performs the corresponding adjustment operation.

2. A method for long-distance control of an unmanned aerial vehicle as claimed in claim 1, characterized in that: The preliminary analysis included: Compare the actual flight trajectory of the UAV terminal with the planned trajectory, calculate the deviation between the two, and generate trajectory correction instructions; and / or, Using the received environmental information, assess the risk level of the current flight environment, the environmental information including meteorological conditions and flight route terrain, and generate environmental adaptability adjustment instructions; and / or, Monitor flight data in real time, identify abnormal flight actions and sensor data, and generate emergency processing instructions.

3. A method for controlling a drone over long distances as claimed in claim 1, characterized in that: The flight data includes at least one of speed, altitude, and attitude; The environmental information includes meteorological conditions and flight route terrain, and the meteorological information includes at least one of temperature, humidity, air pressure, and wind direction.

4. A method for controlling a drone over long distances as claimed in claim 3, characterized in that: The step of the data analysis module generating corresponding adjustment instructions comprises: Integrate trajectory correction instructions, environmental adaptability adjustment instructions and emergency handling instructions; Check whether there are conflicts between different instructions. If there are conflicts, sort and adjust the priority of the instructions according to the preset priority rules to complete the integration of the instruction set; The integrated instruction set is optimized, and multiple identical or similar instructions are identified and merged to form adjustment instructions.

5. A method and platform for controlling a drone over long distances as claimed in claim 4, characterized in that: When there is a conflict between different instructions, the emergency handling instruction has the first priority, the trajectory correction instruction has the second priority, and the environmental adaptability adjustment instruction has the third priority.

6. A method and platform for controlling a drone over long distances as claimed in claim 5, characterized in that: The emergency handling instructions include: Identify changes in the flight altitude of the drone terminal; When the flight altitude of the drone terminal is detected to be decreasing and there is a conflict with the command from the remote control center, it is identified as an abnormal state; Under abnormal conditions, the UAV terminal throws the mounted signal terminal directly below the UAV terminal.

7. A method for controlling a drone over long distances as claimed in claim 6, characterized in that: The signal terminal includes a sound alarm device, and / or a light alarm device, and / or a smoke generating device.

8. A UAV long-distance control platform, characterized in that: For executing the control method according to claim 6, the control platform comprises: A data collection module configured to collect flight data and environmental information of the UAV terminal; A communication module configured for bidirectional data transmission between the UAV terminal and the remote control center via the communication module; A data analysis module configured to analyze the data and generate adjustment instructions; The emergency response module is configured to trigger and execute corresponding emergency measures when an abnormal flight data is detected or an emergency processing instruction is received.

9. The UAV long-distance control platform according to claim 8, characterized in that: The control platform also includes a storage unit configured to store all collected flight data, environmental information, and generated instruction records.

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