Analysis method and system of low-altitude economic development forms based on high-density cities

Abstract

The present application relates to a method and system for analyzing the development forms of low-altitude economy based on high-density cities, the method comprising obtaining the mission address information and mission type information of each aircraft, and performing path planning within a preset airspace according to the mission address information and mission type information, and obtaining the flight path information of each aircraft; obtaining the real-time traffic flow and airspace status information within the preset airspace, and optimizing and adjusting the flight path information in real time according to the real-time traffic flow and airspace status information; real-time monitoring of aircraft activities within the airspace, obtaining the flight information of each aircraft, and judging whether the corresponding aircraft has any flight violations according to the flight information; real-time tracking and feedback of the flight mission status, and monitoring the aircraft status and equipment operation status within the airspace, triggering equipment alarms in the event of an abnormality and taking preset emergency treatment measures. The present application has the effect of improving the efficiency of low-altitude aircraft control.

Description

Technical Field

[0001] The present application relates to the technical field of air traffic control, and in particular to a method and system for analyzing low-altitude economic development forms based on high-density cities. Background Art

[0002] At present, with the development of the low-altitude economy, the application scenarios of low-altitude aircraft such as drones are becoming increasingly rich, and they are widely used in logistics distribution, emergency rescue, urban monitoring and other fields. In high-density urban areas, low-altitude aircraft need to strictly abide by airspace management rules to avoid affecting the normal operation of ground transportation, building safety and air traffic. To this end, urban airspace management and flight path planning have become core technologies for the development of the low-altitude economy. However, existing low-altitude aircraft airspace management and path planning methods mainly rely on methods such as manual division of airspace areas and manual setting of path rules, which are difficult to respond to dynamic changes in complex environments in real time.

[0003] The above-mentioned existing technical solutions have the following defects: the existing low-altitude aircraft airspace management methods lack the ability to make real-time adjustments to various dynamic factors such as real-time traffic flow, weather conditions, airspace traffic congestion, etc. in high-density urban environments, so there is room for improvement. Summary of the invention

[0004] In order to improve the control efficiency of low-altitude aircraft, the present application provides a method and system for analyzing the development forms of low-altitude economy based on high-density cities.

[0005] The above-mentioned invention objective of the present application is achieved through the following technical solutions:

[0006] A method for analyzing the development forms of low-altitude economy based on high-density cities, the method comprising:

[0007] Acquire mission address information and mission type information of each aircraft, and perform path planning within a preset airspace according to the mission address information and the mission type information to obtain flight path information of each aircraft;

[0008] Acquire real-time traffic flow and airspace status information within the preset airspace, and optimize and adjust the flight path information in real time according to the real-time traffic flow and the airspace status information;

[0009] Monitor aircraft activities in the airspace in real time, obtain flight information of each aircraft, and determine whether the corresponding aircraft has any flight violations based on the flight information;

[0010] Provide real-time tracking and feedback of flight mission status, monitor aircraft status and equipment operation in the airspace, trigger equipment alarms and take preset emergency response measures in the event of abnormalities.

[0011] By adopting the above technical solution, by obtaining the mission address information and mission type information of each aircraft, and performing path planning within the preset airspace according to the mission address information and mission type information, it is possible to achieve a reasonable allocation of the tasks of each aircraft, ensure the adaptability of the path planning of the aircraft under different mission conditions, thereby improving the efficiency of mission execution and flight safety; by obtaining real-time traffic flow and airspace status information within the preset airspace, and performing real-time optimization and adjustment of the flight path information according to the real-time traffic flow and airspace status information, it is possible to dynamically adapt to changes in airspace traffic, ensure a high degree of match between the path planning and the actual airspace conditions, thereby reducing flight path errors. By real-time monitoring of aircraft activities in the airspace, obtaining flight information of each aircraft, and judging whether the corresponding aircraft has any flight violations based on the flight information, it is possible to promptly discover and intervene in flight violations to ensure the orderly operation of aircraft in the airspace, thereby improving the overall safety of the airspace; by real-time tracking and feedback of flight mission status, and monitoring the aircraft status and equipment operation in the airspace, triggering equipment alarms and taking preset emergency response measures in the event of an abnormality, it is possible to effectively ensure the safety of aircraft and equipment in abnormal situations and prevent the expansion of unexpected events, thereby improving the stability of airspace control and emergency response capabilities.

[0012] In one example, the present application may be further configured as follows: before performing path planning within a preset airspace according to the task address information and the task type information, the method further includes:

[0013] Based on the preset city map database and airspace distribution data, the GIS module is used to divide the airspace into no-fly zones, suitable-fly zones, and available-route zones;

[0014] According to the different airspace division areas, boundary conditions for flight path planning are established.

[0015] By adopting the above technical solution, based on the preset city map database and airspace distribution data, using the GIS module to divide the airspace into no-fly zones, suitable flying zones, and available flight zones, it is possible to clearly distinguish between the available airspace and restricted areas for aircraft, effectively reduce the risk of aircraft mistakenly entering no-fly zones, thereby improving the accuracy and safety of airspace management; by establishing boundary conditions for flight path planning according to different airspace division areas, it is possible to ensure that aircraft activities comply with airspace boundary specifications during path planning, avoid entering inapplicable areas, thereby improving the rationality of path planning and the utilization efficiency of airspace division.

[0016] In one example, the present application may be further configured as follows: performing path planning within a preset airspace according to the mission address information and the mission type information to obtain flight path information of each of the aircraft specifically includes:

[0017] Convert the task address information into geographic coordinate format, and map the task type information into a corresponding priority identifier;

[0018] Matching the geographical coordinates of the mission address with the geographical information within the preset airspace, combining the priority identification determined by the aircraft mission type, and establishing obstacle avoidance rules based on the boundary conditions of the flight path planning;

[0019] The optimal path of each of the aircraft is calculated based on the Dijkstra algorithm, the mission address information is matched with the preset airspace range, and the optimal flight path information suitable for tasks of different priorities is generated.

[0020] By adopting the above technical solution, by converting the task address information into a geographic coordinate format and mapping the task type information to a corresponding priority identifier, the task requirement can be associated with the geographic location and priority, ensuring the accurate expression of the task attributes during path planning, thereby realizing dynamic adaptation of path allocation and task requirements; by matching the task address geographic coordinates with the geographic information within a preset airspace range, combining the priority identifier determined by the aircraft task type, and establishing obstacle avoidance rules based on the boundary conditions of flight path planning, it is possible to automatically avoid no-fly zones and obstacles during path calculation, avoid unnecessary flight deviations, thereby ensuring the safe operation of the aircraft and the smoothness of path execution; by calculating the optimal path of each aircraft based on the Dijkstra algorithm, matching the task address information with the preset airspace range, and generating the optimal flight path information suitable for tasks of different priorities, it is possible to complete the task goal with the shortest path, reduce unnecessary path detours, and thus optimize the aircraft's fuel consumption and task response speed.

[0021] In one example, the present application may be further configured as follows: the real-time traffic flow and airspace status information within the preset airspace is obtained, and the flight path information is optimized and adjusted in real time according to the real-time traffic flow and the airspace status information, specifically including:

[0022] Collect and calculate real-time airspace traffic based on the building density, aircraft quantity and flight speed data within the preset airspace to obtain traffic density data;

[0023] By using a flow-aware based path optimization algorithm, the flight speed and direction parameters of the flight path information are adjusted according to the flow density data, and the flight spacing and entry times of the aircraft are calculated;

[0024] The traffic changes in different areas are calculated according to the traffic density data, and based on the path switching strategy with preset priority, dynamic path switching is performed when airspace traffic congestion is detected.

[0025] By adopting the above technical solution, real-time airspace traffic calculation is performed by collecting and based on the building density, number of aircraft and flight speed data within the preset airspace range, and the traffic density data is obtained, which can dynamically reflect the traffic flow situation in the airspace and provide a data basis for path adjustment, thereby ensuring that the flight path selection adapts to the current airspace conditions; through the path optimization algorithm based on traffic perception, the flight speed and direction parameters of the flight path information are adjusted according to the traffic density data, and the flight spacing and entry times of the aircraft are calculated, so that the speed and direction of the aircraft can be adjusted in time to reduce the airspace burden in high-density areas, thereby achieving reasonable allocation of airspace resources and efficient use of flight paths; by calculating the traffic changes in different areas according to the traffic density data, and based on the path switching strategy with preset priorities, dynamic path switching is performed when airspace traffic congestion is detected, which can achieve fast path switching in congested areas to prevent mission delays caused by airspace congestion, thereby improving the flexibility and response speed of the airspace management system.

[0026] In one example, the present application may be further configured as follows: the real-time optimization and adjustment of the flight path information according to the real-time traffic flow and the airspace status information further includes:

[0027] Acquire weather data of the current airspace in real time, and adjust the flight speed and altitude of the aircraft according to the weather data to reduce flight deviations caused by adverse weather conditions;

[0028] The relative distance between the aircraft is detected by a distance-based detection module, and when the relative distance is less than a preset safety distance threshold, the flight speed and / or flight direction of the aircraft is adjusted.

[0029] By adopting the above technical solution, by acquiring the weather data of the current airspace in real time and adjusting the flight speed and altitude of the aircraft according to the weather data to reduce the flight deviation affected by adverse weather, the stability of the aircraft in complex weather conditions can be improved, and the risk of yaw caused by weather can be reduced, thereby ensuring that the mission is smoothly executed as planned; by detecting the relative distance between aircraft through a distance-based detection module, and adjusting the flight speed and / or flight direction of the aircraft when the relative distance is less than a preset safety distance threshold, the safety distance between aircraft can be maintained in high-density airspace, preventing aircraft from being too close to cause a collision, thereby improving the safety factor of aircraft operation in the airspace.

[0030] In one example, the present application may be further configured as follows: the real-time monitoring of aircraft activities in the airspace, obtaining flight information of each aircraft, and determining whether the corresponding aircraft has a flight violation according to the flight information specifically includes:

[0031] A high-frequency radar system is used to capture the position information, speed information and route trajectory of the aircraft in real time, and by comparing the flight path information, it is determined whether the aircraft has deviated from the preset route;

[0032] In combination with the real-time speed data of the aircraft, by comparing the difference between the real-time speed data and the preset speed limit value, it is determined whether the flight speed of the aircraft is abnormal.

[0033] By adopting the above technical solution, by using a high-frequency radar system to capture the position information, speed information and route trajectory of the aircraft in real time, and by comparing the flight path information to determine whether the aircraft has deviated from the preset route, it is possible to promptly discover and deal with deviation behavior to prevent the aircraft from entering an erroneous area, thereby ensuring the normal operation of the flight mission and the safety of the airspace; by combining the real-time speed data of the aircraft, by comparing the real-time speed data with the preset speed limit value, it is possible to determine whether the aircraft has an abnormal flight speed, and effectively identify speeding flight behavior to avoid safety hazards caused by speeding aircraft, thereby ensuring that the aircraft operates within a safe speed range and complies with airspace management requirements.

[0034] The second object of the invention is achieved by the following technical solutions:

[0035] A low-altitude economic development form analysis system based on high-density cities, the low-altitude economic development form analysis system based on high-density cities comprising:

[0036] A mission information processing module, used to obtain mission address information and mission type information of each aircraft, and perform path planning within a preset airspace according to the mission address information and the mission type information to obtain flight path information of each aircraft;

[0037] An airspace status adjustment module, used to obtain real-time traffic flow and airspace status information within the preset airspace range, and to optimize and adjust the flight path information in real time according to the real-time traffic flow and the airspace status information;

[0038] A violation monitoring module is used to monitor the aircraft activities in the airspace in real time, obtain the flight information of each aircraft, and determine whether the corresponding aircraft has any flight violation according to the flight information;

[0039] The mission status feedback module is used to track and feedback the flight mission status in real time, and monitor the aircraft status and equipment operation in the airspace. In the event of an abnormality, it triggers equipment alarms and takes preset emergency treatment measures.

[0040] By adopting the above technical solution, by obtaining the mission address information and mission type information of each aircraft, and performing path planning within the preset airspace according to the mission address information and mission type information, it is possible to achieve a reasonable allocation of the tasks of each aircraft, ensure the adaptability of the path planning of the aircraft under different mission conditions, thereby improving the efficiency of mission execution and flight safety; by obtaining real-time traffic flow and airspace status information within the preset airspace, and performing real-time optimization and adjustment of the flight path information according to the real-time traffic flow and airspace status information, it is possible to dynamically adapt to changes in airspace traffic, ensure a high degree of match between the path planning and the actual airspace conditions, thereby reducing flight path errors. By real-time monitoring of aircraft activities in the airspace, obtaining flight information of each aircraft, and judging whether the corresponding aircraft has any flight violations based on the flight information, it is possible to promptly discover and intervene in flight violations to ensure the orderly operation of aircraft in the airspace, thereby improving the overall safety of the airspace; by real-time tracking and feedback of flight mission status, and monitoring the aircraft status and equipment operation in the airspace, triggering equipment alarms and taking preset emergency response measures in the event of an abnormality, it is possible to effectively ensure the safety of aircraft and equipment in abnormal situations and prevent the expansion of unexpected events, thereby improving the stability of airspace control and emergency response capabilities.

[0041] In summary, this application includes the following beneficial technical effects:

[0042] 1. By obtaining the mission address information and mission type information of each aircraft, and performing path planning within the preset airspace based on the mission address information and mission type information, it is possible to achieve a reasonable allocation of missions for each aircraft, ensure the adaptability of path planning for aircraft under different mission conditions, thereby improving mission execution efficiency and flight safety; by obtaining real-time traffic flow and airspace status information within the preset airspace, and performing real-time optimization and adjustment of flight path information based on real-time traffic flow and airspace status information, it is possible to dynamically adapt to changes in airspace traffic, ensure a high degree of match between path planning and actual airspace conditions, and thereby reduce the risk of flight path conflicts. ;By real-time monitoring of aircraft activities in the airspace, obtaining flight information of each aircraft, and judging whether the corresponding aircraft has any flight violations based on the flight information, it is possible to promptly discover and intervene in flight violations, ensure the orderly operation of aircraft in the airspace, and thus improve the overall safety of the airspace; by real-time tracking and feedback of flight mission status, and monitoring the aircraft status and equipment operation in the airspace, triggering equipment alarms and taking preset emergency response measures in the event of an abnormality, it can effectively ensure the safety of aircraft and equipment in abnormal situations, prevent the expansion of unexpected events, and thus improve the stability of airspace control and emergency response capabilities;

[0043] 2. Based on the preset city map database and airspace distribution data, the GIS module is used to divide the airspace into no-fly zones, suitable flying zones, and available flight zones. This can clearly distinguish the available airspace and restricted areas for aircraft, effectively reduce the risk of aircraft mistakenly entering no-fly zones, and thus improve the accuracy and safety of airspace management. By establishing boundary conditions for flight path planning according to different airspace division areas, it can ensure that aircraft activities comply with airspace boundary specifications during path planning and avoid entering inapplicable areas, thereby improving the rationality of path planning and the utilization efficiency of airspace division.

[0044] 3. By converting the task address information into geographic coordinate format and mapping the task type information to the corresponding priority identifier, the task requirements can be associated with the geographic location and priority, ensuring the accurate expression of task attributes during path planning, thereby achieving dynamic adaptation of path allocation and task requirements; by matching the task address geographic coordinates with the geographic information within the preset airspace range, combining the priority identifier determined by the aircraft task type, and establishing obstacle avoidance rules based on the boundary conditions of flight path planning, it is possible to automatically avoid no-fly zones and obstacles during path calculation, avoid unnecessary flight deviations, and ensure the safe operation of the aircraft and the smoothness of path execution; by calculating the optimal path for each aircraft based on the Dijkstra algorithm, matching the task address information with the preset airspace range, and generating the optimal flight path information suitable for tasks of different priorities, it is possible to complete the task objectives with the shortest path, reduce unnecessary path detours, and thus optimize the aircraft's fuel consumption and task response speed. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 is a flow chart of a method for analyzing low-altitude economic development forms in high-density cities in one embodiment of the present application;

[0046] Figure 2 It is a flowchart of implementation before step S10 in the method for analyzing low-altitude economic development forms based on high-density cities in one embodiment of the present application;

[0047] Figure 3 This is a flowchart for implementing step S10 in the method for analyzing low-altitude economic development forms in high-density cities in one embodiment of the present application;

[0048] Figure 4 It is a flowchart for realizing step S20 in the method for analyzing low-altitude economic development forms in high-density cities in one embodiment of the present application;

[0049] Figure 5 This is another implementation flow chart of step S20 in the method for analyzing low-altitude economic development forms in high-density cities in one embodiment of the present application;

[0050] Figure 6 It is a flowchart for realizing step S30 in the method for analyzing low-altitude economic development forms in high-density cities in one embodiment of the present application;

[0051] Figure 7 It is a principle block diagram of a low-altitude economic development form analysis system based on high-density cities in one embodiment of the present application. DETAILED DESCRIPTION

[0052] The present application is further described in detail below in conjunction with the accompanying drawings.

[0053] In one embodiment, if Figure 1 As shown, the present application discloses a method for analyzing the development forms of low-altitude economy based on high-density cities, which specifically includes the following steps:

[0054] S10: Obtain mission address information and mission type information of each aircraft, and perform path planning within a preset airspace according to the mission address information and mission type information to obtain flight path information of each aircraft.

[0055] Specifically, the mission address information and mission type information of the aircraft are extracted, and the mission address information is formatted to match the airspace data. The mission priorities are divided according to the mission type to facilitate flexible priority management in path planning. During the path planning process, the paths are reasonably allocated according to the airspace restrictions within the preset airspace range. The smooth execution of various tasks is guaranteed while meeting the flight safety requirements. Through a comprehensive assessment of the mission requirements and airspace conditions, a preliminary path plan that meets the flight mission requirements is planned.

[0056] S20: Obtain real-time traffic flow and airspace status information within a preset airspace range, and optimize and adjust the flight path information in real time based on the real-time traffic flow and airspace status information.

[0057] Specifically, real-time data on traffic flow and airspace conditions are obtained within the airspace, and path planning settings are dynamically adjusted according to the current flight density and traffic conditions in the airspace to ensure safe spacing and smooth operation between aircraft. Each flight path is automatically optimized based on the real-time data, and the speed and route of the aircraft are adjusted to adapt to the current airspace conditions. When necessary, airspace resources are reallocated to ensure the applicability of the flight path in a high-density environment.

[0058] S30: Monitor the activities of aircraft in the airspace in real time, obtain flight information of each aircraft, and determine whether the corresponding aircraft has any flight violations based on the flight information.

[0059] Specifically, the real-time position information, speed and route trajectory of aircraft in the airspace are obtained, and by comparing the real-time flight data of the aircraft with the preset path information, it is determined whether there is any deviation from the path or non-compliance with flight rules. During the monitoring process, continuous judgments are made on flight altitude, speed limit and other conditions to identify whether the aircraft has any violations, thereby ensuring that all aircraft in the airspace operate according to the planned route and specified speed.

[0060] S40: Provides real-time tracking and feedback of flight mission status, and monitors the aircraft status and equipment operation in the airspace. In the event of an abnormality, it triggers equipment alarms and takes preset emergency response measures.

[0061] Specifically, it monitors the mission progress and current status of the aircraft in real time, including battery power, signal strength and location information. When encountering abnormal situations, it triggers an alarm signal according to the preset alarm conditions and sends emergency processing instructions. If necessary, it issues return or landing instructions to ensure the safety of the aircraft, and records relevant information for subsequent analysis and processing.

[0062] In one embodiment, if Figure 2 As shown, before step S10, that is, before performing path planning within a preset airspace according to the task address information and the task type information, it also includes:

[0063] S101: Based on the preset city map database and airspace distribution data, a GIS module is used to divide the airspace into no-fly zones, suitable-fly zones, and airspace available zones.

[0064] Specifically, the city map database and airspace distribution data are imported into the GIS module, and the city’s geographical location, building distribution and traffic conditions are marked through map parsing tools. Different types of areas such as no-fly zones, suitable flying zones, and available flight routes are specifically divided. The boundary lines and boundary points of each area are marked in the GIS module, and an airspace distribution map suitable for low-altitude aircraft is created. These area data are stored in the path planning database for reference in subsequent path planning, so that the aircraft can follow the distribution division in actual flight.

[0065] S102: Divide the regions according to different airspaces and establish boundary conditions for flight path planning.

[0066] Specifically, the data of airspace areas such as no-fly zones and suitable flying zones are converted into boundary conditions for path planning, and different entry and obstacle avoidance rules are set according to the attributes of each area. Path entry conditions are set during the path planning process to prevent the aircraft from entering no-fly zones or unsuitable airspace areas. Flight altitude, speed limit and other conditions are set for the paths in suitable flying zones. A specific path planning rule set is created to dynamically call the boundary conditions during path calculation, ensuring that the path planning process completes the optimal calculation and reasonable planning of the path within the set airspace rules.

[0067] In one embodiment, if Figure 3 As shown, in step S10, path planning is performed within a preset airspace according to the mission address information and the mission type information to obtain flight path information of each aircraft, specifically including:

[0068] S11: Convert the task address information into a geographic coordinate format, and map the task type information into a corresponding priority identifier.

[0069] Specifically, the mission address information is extracted and converted into standardized geographic coordinate data through a geocoding tool, the geographic coordinate information is entered into the aircraft path database to ensure that it can match the geographic information data in the preset airspace range, the mission type information is compared with the data in the priority identification table to generate a corresponding priority identification, and it is attached to the path planning conditions of the mission, so that the path planning can dynamically adjust the priority of the flight path according to the importance of the mission during execution, and provide basic mission data for subsequent path optimization.

[0070] S12: Match the geographical coordinates of the mission address with the geographical information within the preset airspace, combine the priority identification determined by the aircraft mission type, and establish obstacle avoidance rules based on the boundary conditions of the flight path planning.

[0071] Specifically, the converted geographic coordinates of the mission address are automatically matched with the airspace range data, the position of the address point in the airspace distribution is analyzed, and the obstacle avoidance rules for path planning are established according to the mission priority identification. The paths of no-fly zones, suitable flying zones and obstacle-dense areas are screened and excluded. In path planning, the boundary conditions for aircraft entry or avoidance are set with reference to the priority identification. In combination with airspace restrictions, path guidance for tasks of different priorities is generated to form a final obstacle avoidance plan and output it to the path planning system for application.

[0072] S13: Calculate the optimal path for each aircraft based on the Dijkstra algorithm, match the mission address information with the preset airspace range, and generate optimal flight path information suitable for missions of different priorities.

[0073] Specifically, the Dijkstra algorithm is called during the path calculation process, and the mission address point, path nodes in the airspace range and boundary conditions are input into the algorithm. Priority weights are set so that the algorithm gives priority to important tasks and safe airspace nodes. The optimal path is generated based on the path weights and the connection relationship between the nodes. The path weights are calculated and updated in real time during the algorithm iteration process. After each path is generated, safety checks are performed on key points in the path to ensure that the path plan adapts to the priority and airspace distribution of the current task. Finally, the optimal flight path is generated and stored in the path database so that the aircraft can perform the flight mission according to the optimal path.

[0074] In one embodiment, if Figure 4 As shown, in step S20, the real-time traffic flow and airspace status information within the preset airspace is obtained, and the flight path information is optimized and adjusted in real time according to the real-time traffic flow and airspace status information, specifically including:

[0075] S21: Collect and calculate real-time airspace traffic based on building density, aircraft quantity and flight speed data within the preset airspace range to obtain traffic density data.

[0076] Specifically, multiple distributed sensors in the airspace continuously collect data on building density, real-time number of aircraft and aircraft speed in the current area, and combine these data to calculate traffic density. The building density data is combined with the aircraft speed and number of flights to generate a dynamic traffic distribution in the airspace. The real-time traffic density data of the current area is calculated based on the traffic calculation model, and the traffic density data is used as the basis for flight path adjustment and provides input for traffic-aware path optimization to ensure the adaptability of real-time traffic in path calculation.

[0077] S22: Through the flow-aware based path optimization algorithm, the flight speed and direction parameters of the flight path information are adjusted according to the flow density data, and the flight spacing and entry times of the aircraft are calculated.

[0078] Specifically, the traffic density data is input into the path optimization algorithm model, and the flight speed is adjusted and the direction parameters are optimized according to the changes in traffic density in different areas. The safety distance between aircraft is measured and adjusted in real time, and the number of times aircraft enter the airspace is counted and restricted to avoid excessive congestion in high-traffic areas. By adjusting the speed and direction parameters of the flight path, the aircraft can adapt to the traffic distribution in the current area and ensure safe operation in the airspace.

[0079] S23: Calculate the traffic changes in different areas based on the traffic density data, and perform dynamic path switching based on the path switching strategy with preset priorities when airspace traffic congestion is detected.

[0080] Specifically, the traffic changes in each airspace area in the traffic density data are analyzed in real time. According to the traffic density changes in the current area, it is determined whether path switching needs to be triggered. The aircraft path is dynamically adjusted through the preset path priority switching strategy, and the aircraft in the traffic congestion area is guided to the area with lower traffic. The airspace load caused by congestion is reduced through dynamic path adjustment. After the path switching is completed, the aircraft's airspace resources are reallocated, thereby realizing effective airspace management.

[0081] In one embodiment, if Figure 5 As shown, in step S20, the flight path information is optimized and adjusted in real time according to the real-time traffic flow and airspace status information, and further includes:

[0082] S201: Acquire the weather data of the current airspace in real time, and adjust the flight speed and altitude of the aircraft according to the weather data to reduce flight deviations caused by adverse weather conditions.

[0083] Specifically, it receives weather data provided by the meteorological monitoring module, including real-time meteorological information such as wind speed, wind direction, temperature and humidity, and adjusts the speed and altitude parameters of the aircraft in real time according to the meteorological conditions of the current airspace. When encountering weather with excessive wind speed or drastic changes in air pressure, it reduces the risk of aircraft yaw in bad weather to a minimum by appropriately adjusting the speed and altitude, thereby ensuring the stability of the aircraft under complex weather conditions.

[0084] S202: Detect the relative distance between the aircrafts through a distance-based detection module, and adjust the flight speed and / or flight direction of the aircraft when the relative distance is less than a preset safety distance threshold.

[0085] Specifically, a distance-based detection module is used to measure the relative position of each aircraft. When the relative distance is less than the set safety distance threshold, the aircraft's flight speed is automatically reduced or the flight direction is changed. Aircraft that are too close are automatically guided to an appropriate distance range. The safety distance is maintained through dynamic distance adjustment to ensure that aircraft remain in a safe flight state in areas with dense aircraft.

[0086] In one embodiment, if Figure 6 As shown, in step S30, the aircraft activities in the airspace are monitored in real time, the flight information of each aircraft is obtained, and it is determined whether the corresponding aircraft has any flight violation according to the flight information, which specifically includes:

[0087] S31: Use a high-frequency radar system to capture the position information, speed information and route trajectory of the aircraft in real time, and determine whether the aircraft has deviated from the preset route by comparing the flight path information.

[0088] Specifically, the high-frequency radar system scans the aircraft position information in the airspace in real time, records the aircraft's speed and route trajectory data, and compares the real-time captured trajectory data with the route information set in the flight path planning. When it is found that the aircraft's position or speed deviates from the preset route, it is judged that the aircraft has deviated, and the deviated aircraft position and speed data are stored, and an early warning process is triggered when the deviation data exceeds the set threshold.

[0089] S32: In combination with the real-time speed data of the aircraft, by comparing the real-time speed data with a preset speed limit value, it is determined whether the flight speed of the aircraft is abnormal.

[0090] Specifically, the real-time speed data of the aircraft is continuously monitored, and the current speed is dynamically compared with the speed limit value according to the speed limit in the flight mission. When it is detected that the speed of the aircraft exceeds the speed limit value, the system records the speed anomaly and triggers the speed control mechanism. On the premise of keeping the aircraft speed within a safe range, it ensures that its operation complies with the speed limit stipulated in the airspace.

[0091] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0092] In one embodiment, a system for analyzing low-altitude economic development forms based on high-density cities is provided, and the system for analyzing low-altitude economic development forms based on high-density cities corresponds one-to-one with the method for analyzing low-altitude economic development forms based on high-density cities in the above embodiment. Figure 7 As shown in the figure, the low-altitude economic development form analysis system based on high-density cities includes a task information processing module, an airspace status adjustment module, a violation monitoring module, and a task status feedback module. The detailed description of each functional module is as follows:

[0093] The mission information processing module is used to obtain the mission address information and mission type information of each aircraft, and perform path planning within a preset airspace according to the mission address information and mission type information to obtain the flight path information of each aircraft;

[0094] The airspace status adjustment module is used to obtain real-time traffic flow and airspace status information within the preset airspace range, and optimize and adjust the flight path information in real time according to the real-time traffic flow and airspace status information;

[0095] The violation monitoring module is used to monitor the aircraft activities in the airspace in real time, obtain the flight information of each aircraft, and determine whether the corresponding aircraft has any flight violations based on the flight information;

[0096] The mission status feedback module is used to track and feedback the flight mission status in real time, and monitor the aircraft status and equipment operation in the airspace. In the event of an abnormality, it triggers equipment alarms and takes preset emergency treatment measures.

[0097] Optionally, before the task information processing module, it also includes:

[0098] The airspace division module is used to divide the airspace into no-fly zones, suitable-fly zones, and available-route zones using the GIS module based on the preset city map database and airspace distribution data;

[0099] The path boundary setting module is used to divide the area according to different airspaces and establish the boundary conditions for flight path planning.

[0100] Optionally, the task information processing module specifically includes:

[0101] A coordinate conversion submodule is used to convert the task address information into a geographic coordinate format and map the task type information into a corresponding priority identifier;

[0102] The path matching submodule is used to match the geographical coordinates of the mission address with the geographical information within the preset airspace, combine the priority identification determined by the aircraft mission type, and establish obstacle avoidance rules based on the boundary conditions of the flight path planning;

[0103] The path optimization submodule is used to calculate the optimal path for each aircraft based on the Dijkstra algorithm, match the mission address information with the preset airspace range, and generate the optimal flight path information suitable for tasks of different priorities.

[0104] Optionally, the airspace status adjustment module specifically includes:

[0105] The traffic calculation submodule is used to collect and calculate the real-time airspace traffic based on the building density, aircraft quantity and flight speed data within the preset airspace range to obtain the traffic density data;

[0106] A path adjustment submodule is used to adjust the flight speed and direction parameters of the flight path information according to the flow density data through a flow-aware based path optimization algorithm, and calculate the flight spacing and entry times of the aircraft;

[0107] The dynamic path switching submodule is used to calculate the traffic changes in different areas based on the traffic density data, and based on the path switching strategy with preset priorities, perform dynamic path switching when airspace traffic congestion is detected.

[0108] Optionally, the airspace status adjustment module further includes:

[0109] The weather adjustment submodule is used to obtain the weather data of the current airspace in real time and adjust the flight speed and altitude of the aircraft according to the weather data to reduce the flight deviation caused by bad weather;

[0110] The distance detection submodule is used to detect the relative distance between the aircrafts through the distance-based detection module, and adjust the flight speed and / or flight direction of the aircraft when the relative distance is less than a preset safety distance threshold.

[0111] Optionally, the violation monitoring module specifically includes:

[0112] The deviation detection submodule is used to use a high-frequency radar system to capture the position information, speed information and route trajectory of the aircraft in real time, and to determine whether the aircraft has deviated from the preset route by comparing the flight path information;

[0113] The speed monitoring submodule is used to combine the real-time speed data of the aircraft and determine whether the aircraft has an abnormal flight speed by comparing the real-time speed data with the preset speed limit value.

[0114] Those skilled in the art will clearly understand that for the sake of convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above.

[0115] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for analyzing the development forms of low-altitude economy based on high-density cities, characterized in that: The method for analyzing the low-altitude economic development forms based on high-density cities includes: Acquire the mission address information and mission type information of each aircraft, and perform path planning within a preset airspace according to the mission address information and the mission type information to obtain the flight path information of each aircraft; the performing of path planning within a preset airspace according to the mission address information and the mission type information to obtain the flight path information of each aircraft specifically includes: converting the mission address information into a geographic coordinate format, and mapping the mission type information to a corresponding priority identifier; matching the mission address geographic coordinates with the geographic information within the preset airspace, combining the priority identifier determined by the aircraft mission type, and establishing obstacle avoidance rules according to the boundary conditions of the flight path planning; calculating the optimal path of each aircraft based on the Dijkstra algorithm, matching the mission address information with the preset airspace, and generating the optimal flight path information suitable for missions of different priorities; Acquire real-time traffic flow and airspace status information within the preset airspace, and optimize and adjust the flight path information in real time according to the real-time traffic flow and airspace status information; Acquire real-time traffic flow and airspace status information within the preset airspace, and optimize and adjust the flight path information in real time according to the real-time traffic flow and airspace status information, specifically including: collect and calculate real-time airspace traffic based on building density, number of aircraft and flight speed data within the preset airspace to obtain traffic density data; adjust the flight speed and direction parameters of the flight path information according to the traffic density data through a traffic-aware path optimization algorithm, and calculate the flight spacing and entry times of the aircraft; calculate the traffic changes in different areas according to the traffic density data, and perform dynamic path switching based on a preset priority path switching strategy when airspace traffic congestion is detected; Real-time monitoring of aircraft activities in the airspace, obtaining flight information of each aircraft, and judging whether the corresponding aircraft has any flight violations based on the flight information; Real-time monitoring of aircraft activities in the airspace, obtaining flight information of each aircraft, and judging whether the corresponding aircraft has any flight violations based on the flight information, specifically includes: using a high-frequency radar system to capture the position information, speed information and route trajectory of the aircraft in real time, and judging whether the aircraft has deviated from the preset route by comparing the flight path information; combining the real-time speed data of the aircraft, judging whether the aircraft has an abnormal flight speed by comparing the difference between the real-time speed data and the preset speed limit value; Provide real-time tracking and feedback of flight mission status, monitor aircraft status and equipment operation in the airspace, trigger equipment alarms and take preset emergency response measures in the event of abnormalities.

2. The method for analyzing low-altitude economic development forms based on high-density cities according to claim 1 is characterized in that: Before performing path planning within a preset airspace according to the task address information and the task type information, the method further includes: Based on the preset city map database and airspace distribution data, the GIS module is used to divide the airspace into no-fly zones, suitable-fly zones, and available-route zones; According to the different airspace division areas, boundary conditions for flight path planning are established.

3. The method for analyzing the development forms of low-altitude economy based on high-density cities according to claim 1 is characterized in that: The real-time optimization and adjustment of the flight path information according to the real-time traffic flow and the airspace status information also includes: Acquire weather data of the current airspace in real time, and adjust the flight speed and altitude of the aircraft according to the weather data to reduce flight deviations caused by adverse weather conditions; The relative distance between the aircraft is detected by a distance-based detection module, and when the relative distance is less than a preset safety distance threshold, the flight speed and / or flight direction of the aircraft is adjusted.

4. A low-altitude economic development form analysis system based on high-density cities, characterized by: The low-altitude economic development form analysis system based on high-density cities includes: A mission information processing module, used to obtain mission address information and mission type information of each aircraft, and perform path planning within a preset airspace according to the mission address information and the mission type information to obtain flight path information of each aircraft; An airspace status adjustment module, used to obtain real-time traffic flow and airspace status information within the preset airspace range, and to optimize and adjust the flight path information in real time according to the real-time traffic flow and the airspace status information; A violation monitoring module is used to monitor the aircraft activities in the airspace in real time, obtain the flight information of each aircraft, and determine whether the corresponding aircraft has any flight violation according to the flight information; Mission status feedback module, used to track and feedback flight mission status in real time, monitor aircraft status and equipment operation in the airspace, trigger equipment alarms and take preset emergency measures in the event of an abnormality; The task information processing module specifically includes: A coordinate conversion submodule is used to convert the task address information into a geographic coordinate format and map the task type information into a corresponding priority identifier; The path matching submodule is used to match the geographical coordinates of the mission address with the geographical information within the preset airspace, combine the priority identification determined by the aircraft mission type, and establish obstacle avoidance rules based on the boundary conditions of the flight path planning; The path optimization submodule is used to calculate the optimal path for each aircraft based on the Dijkstra algorithm, match the mission address information with the preset airspace range, and generate the optimal flight path information suitable for tasks of different priorities; The airspace status adjustment module specifically includes: The traffic calculation submodule is used to collect and calculate the real-time airspace traffic based on the building density, aircraft quantity and flight speed data within the preset airspace range to obtain the traffic density data; A path adjustment submodule is used to adjust the flight speed and direction parameters of the flight path information according to the flow density data through a flow-aware based path optimization algorithm, and calculate the flight spacing and entry times of the aircraft; The dynamic path switching submodule is used to calculate the traffic changes in different areas based on the traffic density data, and perform dynamic path switching based on the path switching strategy with preset priorities when airspace traffic congestion is detected; The violation monitoring module specifically includes: The deviation detection submodule is used to use a high-frequency radar system to capture the position information, speed information and route trajectory of the aircraft in real time, and to determine whether the aircraft has deviated from the preset route by comparing the flight path information; The speed monitoring submodule is used to combine the real-time speed data of the aircraft and determine whether the aircraft has an abnormal flight speed by comparing the real-time speed data with the preset speed limit value.

5. The low-altitude economic development form analysis system based on high-density cities according to claim 4 is characterized in that: Before the task information processing module, it also includes: The airspace division module is used to divide the airspace into no-fly zones, suitable-fly zones, and available-route zones using the GIS module based on the preset city map database and airspace distribution data; The path boundary setting module is used to establish boundary conditions for flight path planning according to different airspace division areas.

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