Unmanned aerial vehicle low-altitude network integrated management platform and method based on layered architecture
Through the integrated management platform for low-altitude networks of drones based on hierarchical architecture, the problems of poor scalability of existing systems and low resource scheduling efficiency are solved, efficient collaboration and resource optimization between drones are achieved, and the efficiency and security of low-altitude network management are improved.
Patent Information
- Application Number
- CN202510522317.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-24
- Publication Date
- 2025-08-08
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing drone low-altitude network management systems have a single architecture, poor scalability, low resource scheduling efficiency, which is difficult to meet the multi-task collaboration needs in complex scenarios, and lack of adaptability to dynamic environments, resulting in system performance bottlenecks and management chaos.
The integrated management platform for low-altitude network of drones based on a hierarchical architecture is adopted, including a control center module, a data storage module, a communication coordination module, an environment perception module and a task scheduling module. The low-altitude environmental information is collected through the environment perception module. The communication coordination module realizes dynamic communication between drones. The task scheduling module assigns task priority, and the control center module generates flight strategies and judges abnormal situations.
It significantly improves the efficiency and security of low-altitude network management, provides reliable guarantees for the efficient operation of drones in complex environments, and realizes efficient collaboration and optimized resource allocation among drones.
Smart Images
Figure CN120456061A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of unmanned aerial vehicle (UAV) communication and network management, and in particular to a UAV low-altitude network integrated management platform and method based on a layered architecture. Background Art
[0002] With the rapid development of drone technology, its applications in logistics and distribution, agricultural monitoring, emergency rescue, environmental surveys, and other fields are becoming increasingly widespread. Especially in low-altitude airspace, the scale of drone networks continues to expand, and the demand for integrated management platforms is becoming more urgent.
[0003] However, existing drone low-altitude network management systems generally suffer from a single architecture, poor scalability, and inefficient resource scheduling, making them difficult to meet the demands of multi-task collaboration in complex scenarios. Furthermore, current technologies lack a layered design for data processing, communication management, and real-time monitoring, leading to performance bottlenecks and management chaos when operating with large drone swarms.
[0004] At the same time, existing platforms lack the ability to adapt to dynamic environments, making it difficult to achieve efficient resource allocation and path optimization, further limiting the application potential of drone networks. Therefore, developing a comprehensive management platform and method for drone low-altitude networks based on a layered architecture to improve the system's scalability, management efficiency, and adaptability has become a pressing technical challenge. Summary of the Invention
[0005] Based on this, it is necessary to provide a UAV low-altitude network comprehensive management platform and method based on a layered architecture to address the problems of low efficiency and uneven resource allocation in UAV low-altitude network management.
[0006] A low-altitude UAV network integrated management platform based on a layered architecture, including:
[0007] Control center module;
[0008] A data storage module, connected to the control center module, for storing drone operation data;
[0009] A communication coordination module, connected to the data storage module, for realizing dynamic communication between UAVs;
[0010] An environmental perception module, connected to the data storage module, for collecting low-altitude environmental information;
[0011] The task scheduling module is connected to the data storage module and is used to assign task priorities to the UAV.
[0012] In one embodiment, the environment perception module includes:
[0013] A meteorological monitoring unit connected to the data storage module for obtaining real-time meteorological data;
[0014] A terrain scanning unit, connected to the data storage module, for drawing a low-altitude terrain map;
[0015] An obstacle detection unit is connected to the data storage module and is used to identify potential obstacles in the flight path.
[0016] In one embodiment, the UAV low-altitude network integrated management platform further includes a resource optimization module, which is connected to the data storage module and is used to dynamically adjust the energy consumption and communication bandwidth allocation of the UAV.
[0017] In one embodiment, the UAV low-altitude network integrated management platform further includes an emergency response module, which is connected to the data storage module and is used to generate an avoidance path in an emergency.
[0018] In one embodiment, the UAV low-altitude network integrated management platform also includes a data visualization module, which is connected to the control center module and is used to display the UAV operation status and low-altitude network topology in real time.
[0019] The UAV low-altitude network integrated management platform provided in this application includes a control center module, a data storage module, a communication coordination module, an environmental perception module, and a task scheduling module. The environmental perception module is connected to the data storage module to collect low-altitude environmental information, thereby providing accurate support for UAV flight decisions. Through a layered architecture design, this application achieves efficient collaboration and optimized resource allocation between UAVs, significantly improving the efficiency and safety of low-altitude network management, and providing reliable protection for UAV applications in complex scenarios.
[0020] A method for low-altitude network management using the UAV low-altitude network integrated management platform as described above comprises:
[0021] Collect low-altitude environmental information through the environmental perception module and store it in the data storage module;
[0022] Realize dynamic communication between drones through the communication coordination module, and store relevant communication data in the data storage module;
[0023] Assigning the task priority of the UAV through the task scheduling module and storing the task information in the data storage module;
[0024] The control center module generates a flight strategy based on the low-altitude environment information, communication data and mission information stored in the data storage module;
[0025] The control center module obtains the current operating status of the low-altitude network and compares it with the flight strategy to determine whether there is any abnormality.
[0026] In one embodiment, the control center module generates a flight strategy based on the low-altitude environment information, communication data, and mission information stored in the data storage module, including:
[0027] Acquiring sensory data through the control center module, wherein the sensory data includes meteorological information, terrain information, and obstacle distribution information;
[0028] Acquiring communication link status data through the control center module;
[0029] The control center module matches the perception data with the communication link status data to evaluate the flight feasibility of the UAV.
[0030] In one embodiment, matching the perception data with the communication link status data by the control center module to evaluate the flight feasibility of the drone includes:
[0031] The control center module matches the meteorological information with a preset safety threshold to determine whether the flight is suitable, thereby obtaining a first evaluation result;
[0032] Matching the terrain information with a preset flight altitude range through the control center module to determine whether there is a terrain restriction, thereby obtaining a second evaluation result;
[0033] If both the first evaluation result and the second evaluation result are feasible, the control center module is combined with the obstacle distribution information to generate an optimal flight path.
[0034] In one embodiment, after the control center module matches the weather information with a preset safety threshold and determines whether the flight is suitable, the method further includes:
[0035] If it is not suitable for flight, the emergency response module is called by the control center module to generate a temporary landing point;
[0036] The temporary landing point is matched with the terrain information through the control center module to ensure the safety of the landing point.
[0037] In one embodiment, if both the first evaluation result and the second evaluation result are feasible, after generating an optimal flight path by combining the obstacle distribution information with the control center module, the method further includes:
[0038] Matching the optimal flight path with the communication link status data through the control center module, determining whether the communication quality on the path meets the requirements, and obtaining a third evaluation result;
[0039] If the third evaluation result is not feasible, the flight path is replanned by the control center module.
[0040] In one embodiment, the UAV low-altitude network integrated management platform further includes a resource optimization module, which collects low-altitude environmental information through the environmental perception module and stores it in the data storage module. The method further includes:
[0041] Dynamically adjust the energy consumption and communication bandwidth allocation of the UAV through the resource optimization module, and store the optimization plan in the data storage module;
[0042] The control center module corrects the flight strategy according to the optimization scheme stored in the data storage module.
[0043] In one embodiment, the UAV low-altitude network integrated management platform further includes a data visualization module. After comparing the flight strategy with the control center module to determine whether there is an abnormality, the method further includes:
[0044] If there is an abnormal situation, the data visualization module displays the abnormal area and the affected drone information in real time.
[0045] In one embodiment, the UAV low-altitude network integrated management platform further includes an emergency response module. After comparing the flight strategy with the control center module to determine whether there is an abnormal situation, the method further includes:
[0046] If there is an abnormal situation, the emergency response module generates an emergency treatment plan and notifies relevant personnel.
[0047] The present invention provides a low-altitude network integrated management platform and method for unmanned aerial vehicles based on a layered architecture. It has the following beneficial effects:
[0048] The low-altitude network management method for drones provided in this application collects low-altitude environmental information through the environmental perception module, implements dynamic communication between drones through the communication coordination module, and assigns drone task priorities through the task scheduling module. The control center module generates a flight strategy based on the low-altitude environmental information, communication data, and task information, and compares the flight strategy to determine whether there are any abnormalities. Through a layered architecture and dynamic resource optimization technology, this application significantly improves the intelligent level of low-altitude network management, providing strong support for the efficient operation of drones in complex environments. BRIEF DESCRIPTION OF THE DRAWINGS
[0049] Figure 1 A schematic diagram of the structure of a low-altitude network integrated management platform for unmanned aerial vehicles provided by one embodiment;
[0050] Figure 2 A schematic diagram of the structure of an environmental perception module provided in one embodiment;
[0051] Figure 3 A flowchart of a method for managing a low-altitude network of a drone is provided in accordance with an embodiment;
[0052] Figure 4 A schematic diagram of a flow chart of a flight strategy generation method provided in one embodiment;
[0053] Figure 5 A schematic diagram of a resource optimization and emergency response method flow diagram provided in one embodiment;
[0054] Figure 6 A flowchart of a data visualization and exception handling method provided in one embodiment. DETAILED DESCRIPTION
[0055] The following will clearly and completely describe the technical solution of the present invention in conjunction with the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all 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.
[0056] The present invention provides a UAV low-altitude network integrated management platform and method based on a layered architecture, which realizes efficient management and resource optimization configuration of UAV low-altitude network through layered architecture design. Figure 1 To the attached Figure 6 And specific embodiments are used to describe the technical solution of the present invention in detail.
[0057] like Figure 1 As shown, the UAV low-altitude network integrated management platform provided by the present invention includes a control center module, a data storage module, a communication coordination module, an environmental perception module, and a task scheduling module. These modules are interconnected and work collaboratively through a layered architecture design, thereby achieving comprehensive management of the UAV low-altitude network. The control center module is the core of the entire platform, responsible for receiving data from other modules and generating flight strategies; the data storage module is used to store UAV operational data, low-altitude environmental information, communication data, and task information; the communication coordination module is responsible for dynamic communication between UAVs; the environmental perception module is used to collect low-altitude environmental information; and the task scheduling module assigns UAV task priorities based on mission requirements.
[0058] In a specific implementation, the environment perception module further includes a weather monitoring unit, a terrain scanning unit and an obstacle detection unit, such as Figure 2 As shown. The meteorological monitoring unit is used to obtain real-time meteorological data, such as wind speed, humidity, temperature, etc., and store these data in the data storage module. The terrain scanning unit uses devices such as lidar or cameras to draw low-altitude terrain maps and stores the terrain information in the data storage module. The obstacle detection unit uses sensors and image recognition technology to identify potential obstacles in the flight path, and records the location and type of obstacles. This information provides accurate support for the UAV's flight decisions. For example, in an actual application scenario, when a UAV needs to perform a logistics delivery task, the environmental perception module will first collect the meteorological conditions, terrain features and obstacle distribution in the area, and transmit this data to the control center module to generate a flight strategy.
[0059] To achieve efficient collaboration between drones, the communication coordination module establishes dynamic communication links between them using wireless communication technologies (such as 5G or LoRa). This module not only transmits drone status information in real time but also dynamically adjusts communication bandwidth based on current network conditions to ensure that communication quality meets mission requirements. For example, when multiple drones collaborate on a search and rescue mission, the communication coordination module prioritizes the transmission of critical data while avoiding information delays caused by communication congestion. Furthermore, the communication coordination module stores communication link status data in the data storage module, enabling the control center module to conduct flight feasibility assessments.
[0060] The mission scheduling module assigns drones based on mission priority. This priority is determined based on factors such as mission urgency, required resources, and execution difficulty. For example, in a disaster response scenario, the mission scheduling module prioritizes drones for reconnaissance and supply delivery to severely affected areas. The mission scheduling module stores mission information in the data storage module and notifies the control center module to generate appropriate flight strategies.
[0061] The control center module generates flight strategies based on the low-altitude environmental information, communication data and mission information in the data storage module. Figure 3 As shown in Figure 2, the specific process of flight strategy generation includes the following steps: First, the control center module obtains the perception data from the data storage module. The perception data includes weather information, terrain information, and obstacle distribution information; second, the control center module obtains the communication link status data; finally, the control center module matches the perception data with the communication link status data to evaluate the flight feasibility of the UAV. The flight feasibility evaluation process is as follows: Figure 4As shown, the process specifically includes the following steps: First, the control center module matches meteorological information with a preset safety threshold to determine whether the flight is suitable, obtaining a first evaluation result; Second, the control center module matches terrain information with a preset flight altitude range to determine whether there are terrain restrictions, obtaining a second evaluation result; Third, if both the first and second evaluation results are feasible, the control center module generates an optimal flight path based on obstacle distribution information. The preset safety threshold and flight altitude range can be adjusted based on the actual application scenario. For example, in strong winds, the preset safety threshold can be set to a wind speed of no more than 10 meters per second; while in mountainous environments, the flight altitude range can be set to be at least 50 meters above the ground.
[0062] In some cases, if the weather information does not meet the preset safety threshold, the control center module will call the emergency response module to generate a temporary landing point. The emergency response module ensures the safety of the landing point by analyzing the terrain information. For example, in an actual application, when a drone encounters a sudden strong wind during flight, the emergency response module will quickly calculate a nearby safe landing point and notify the drone to perform an emergency landing. In addition, if Figure 5 As shown, the emergency response module can also generate an avoidance path in an emergency to help the drone avoid potential risks.
[0063] To further enhance the intelligence level of low-altitude network management, the present invention also introduces a resource optimization module. This module optimizes resource allocation by dynamically adjusting the drone's energy consumption and communication bandwidth allocation. For example, during long-duration cruise missions, the module will replan the flight path based on the drone's remaining battery life and mission requirements to extend flight time. Furthermore, the module will dynamically adjust bandwidth allocation based on communication link status data to ensure that mission-critical data transmission is not affected. The module stores the optimization plan in the data storage module and notifies the control center module to adjust the flight strategy.
[0064] The data visualization module is used to display the UAV operation status and low-altitude network topology in real time. Figure 6 As shown in the figure, when the control center module detects an anomaly, the data visualization module immediately displays the abnormal area and the affected drones. For example, during a multi-drone collaborative operation, if a drone deviates from its planned route, the data visualization module highlights its location and indicates the reason for the deviation. Furthermore, the emergency response module generates an emergency response plan and notifies relevant personnel so that timely action can be taken to resolve the issue.
[0065] In the specific implementation process, the UAV low-altitude network management method provided by the present invention covers the complete process from environmental perception to flight strategy generation to exception handling. For example, in an urban logistics distribution mission, the environmental perception module first collects the meteorological conditions, terrain characteristics and obstacle distribution information of the target area, and stores these data in the data storage module. Subsequently, the communication coordination module establishes a dynamic communication link between the UAVs, and stores the communication link status data in the data storage module. The task scheduling module assigns the task priority of the UAV according to the urgency and resource requirements of the distribution task, and stores the task information in the data storage module. The control center module generates a flight strategy based on the information in the data storage module, and compares the flight strategy to determine whether there is an abnormal situation. If there is an abnormal situation, the data visualization module will display the abnormal area and the affected UAV information in real time, and the emergency response module will generate an emergency treatment plan and notify the relevant personnel.
[0066] In addition, the present invention also involves some specific algorithm formulas for improving the scientificity and accuracy of flight strategy generation. For example, when evaluating the feasibility of drone flight, the following formula can be used:
[0067]
[0068] Here, F represents the flight feasibility score, M represents the weather information score, T represents the terrain information score, and O represents the obstacle distribution score. α, β, and γ represent the weighting coefficients of each factor. By adjusting the weighting coefficients, flight strategies can be optimized for different application scenarios. For example, in severe weather conditions, the weight of the weather information score can be increased to reduce flight risks.
[0069] In summary, the present invention significantly improves the efficiency and safety of low-altitude network management through layered architecture design and dynamic resource optimization technology, providing reliable protection for drone applications in complex scenarios.
[0070] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.
Claims
1. A UAV low-altitude network integrated management platform based on a layered architecture, characterized by: include: Control center module, used to generate flight strategies; A data storage module, connected to the control center module, for storing drone operation data; A communication coordination module, connected to the data storage module, for realizing dynamic communication between UAVs; An environmental perception module, connected to the data storage module, for collecting low-altitude environmental information; The task scheduling module is connected to the data storage module and is used to assign task priorities to the UAV.
2. The UAV low-altitude network integrated management platform based on a layered architecture according to claim 1 is characterized in that: The environment perception module includes: A meteorological monitoring unit connected to the data storage module for obtaining real-time meteorological data; A terrain scanning unit, connected to the data storage module, for drawing a low-altitude terrain map; An obstacle detection unit is connected to the data storage module and is used to identify potential obstacles in the flight path.
3. The UAV low-altitude network integrated management platform based on a layered architecture according to claim 1 is characterized in that: It also includes a resource optimization module, which is connected to the data storage module and is used to dynamically adjust the energy consumption and communication bandwidth allocation of the drone.
4. The UAV low-altitude network integrated management platform based on a layered architecture according to claim 1 is characterized in that: It also includes an emergency response module, which is connected to the data storage module and is used to generate an escape route in an emergency.
5. The UAV low-altitude network integrated management platform based on a layered architecture according to claim 1 is characterized in that: The UAV low-altitude network integrated management platform according to claim 1 is characterized in that it also includes a data visualization module, which is connected to the control center module and is used to display the UAV operation status and low-altitude network topology in real time.
6. A method for low-altitude network management using the UAV low-altitude network integrated management platform according to any one of claims 1 to 5, characterized in that: include: Collect low-altitude environmental information through the environmental perception module and store it in the data storage module; Realize dynamic communication between drones through the communication coordination module, and store relevant communication data in the data storage module; Assigning the task priority of the UAV through the task scheduling module and storing the task information in the data storage module; The control center module generates a flight strategy based on the low-altitude environment information, communication data and mission information stored in the data storage module; The control center module obtains the current operating status of the low-altitude network and compares it with the flight strategy to determine whether there is any abnormality.
7. The method for comprehensive management of low-altitude UAV networks based on a layered architecture according to claim 6, characterized in that: The control center module generates a flight strategy based on the low-altitude environment information, communication data and mission information stored in the data storage module, including: Acquiring sensory data through the control center module, wherein the sensory data includes meteorological information, terrain information, and obstacle distribution information; Acquiring communication link status data through the control center module; The control center module matches the perception data with the communication link status data to evaluate the flight feasibility of the UAV.
8. The method for comprehensive management of UAV low-altitude networks based on a layered architecture according to claim 7, characterized in that: Matching the perception data with the communication link status data by the control center module to evaluate the flight feasibility of the UAV includes: The control center module matches the meteorological information with a preset safety threshold to determine whether the flight is suitable, thereby obtaining a first evaluation result; Matching the terrain information with a preset flight altitude range through the control center module to determine whether there is a terrain restriction, thereby obtaining a second evaluation result; If both the first evaluation result and the second evaluation result are feasible, the control center module is combined with the obstacle distribution information to generate an optimal flight path.
9. The method for comprehensive management of UAV low-altitude networks based on a layered architecture according to claim 8, characterized in that: After the control center module matches the weather information with a preset safety threshold and determines whether the flight is suitable, the method further includes: If it is not suitable for flight, the emergency response module is called by the control center module to generate a temporary landing point; The temporary landing point is matched with the terrain information through the control center module to ensure the safety of the landing point.
10. The method for comprehensive management of UAV low-altitude network based on layered architecture according to claim 8, characterized in that: If both the first evaluation result and the second evaluation result are feasible, then after generating an optimal flight path by combining the obstacle distribution information with the control center module, the method further includes: Matching the optimal flight path with the communication link status data through the control center module, determining whether the communication quality on the path meets the requirements, and obtaining a third evaluation result; If the third evaluation result is not feasible, the flight path is replanned by the control center module.