A method and terminal for retrieving high-altitude wind vectors based on radar data

Abstract

The present application relates to the field of aviation technology, in particular to a high-altitude wind vector inversion method and inversion terminal based on radar data, the method comprising: obtaining network messages of secondary radar; obtaining network messages of ADS-B system; analyzing the network messages to obtain the aviation data carried in the network messages; selecting single flight target wind vector calculation or multiple flight target wind vector calculation, and completing the calculation through a wind speed vector solving algorithm to obtain the calculation results; storing the calculation results in the database in categories, and displaying the calculation results; the present application can directly provide the wind field information of the position of the aircraft of the controller, and realize the real-time monitoring of the weather phenomena such as wind shear by accepting the target data issued by the secondary radar data and the ADS-B system, then extracting the position information, S mode address information, ground speed vector information and the like carried therein, and then using the high-altitude wind vector inversion algorithm to calculate the high-altitude wind vector for a single target or multiple targets.

Description

Technical Field

[0001] This invention relates to the field of aviation technology, specifically to a method and terminal for inverting high-altitude wind vectors based on radar data. Background Technology

[0002] In the aviation field, meteorological data is crucial throughout the entire flight process, especially regarding the direct impact of wind shear on flight safety. Wind shear refers to the phenomenon of rapid changes in wind speed and / or direction in the atmosphere, both spatially and temporally. Whether cruising at high altitudes or flying at low altitudes, it can lead to dangerous flight conditions. Aircraft navigating through these rapidly changing air currents can trigger flight anomalies, making real-time and accurate monitoring of wind shear an urgent task in aviation research. The unpredictability, instantaneous nature of wind shear in airport airspace, and its direct impact on flight performance underscore the urgent need for real-time wind field inversion. Wind shear can cause abnormal changes in aircraft climb rate, posing a serious challenge to aircraft handling and stability. Therefore, real-time and accurate monitoring of wind shear is crucial throughout the entire process, from takeoff and cruise to landing.

[0003] Traditional wind field detection technologies face numerous limitations in the aviation field, while the unique properties of wind shear place higher demands on timeliness and accuracy. Against this backdrop, wind field inversion from known meteorological data has become an innovative and necessary approach, providing aircraft with more accurate and real-time wind field information, thereby significantly improving flight safety. Summary of the Invention

[0004] The technical problem to be solved by this invention is the urgent need for real-time and accurate wind field information in the aviation field and the limitations of traditional wind field measurement methods. The purpose is to provide a method and terminal for inverting high-altitude wind vectors based on radar data, which enables real-time monitoring of meteorological phenomena such as wind shear throughout the entire flight process, and can also provide accurate and comprehensive high-altitude wind field data for pilots and air traffic management throughout the entire flight process.

[0005] This invention is achieved through the following technical solution:

[0006] A method for inverting upper-level wind vectors based on radar data includes:

[0007] The first step is to acquire the network messages of the secondary radar and the network messages of the ADS-B system.

[0008] The second step is to parse the network packets and obtain the aviation data carried in the network packets;

[0009] The third step is to choose to perform wind vector calculation for a single flight target or wind vector calculation for multiple flight targets, and to complete the calculation using a wind speed vector solution algorithm to obtain the calculation results.

[0010] The fourth step is to categorize and store the calculation results in the database, and then display the calculation results as data.

[0011] Specifically, in the first step, the secondary radar uses ASTERIX CAT048 messages, and the ADS-B system uses ASTERIX CAT021 messages.

[0012] Network packets are received via the UDP network interface and then placed into a temporary buffer for caching.

[0013] Specifically, if the wind vector calculation for a single flying target is selected, the third step includes:

[0014] Multiple single-flight target linked lists are constructed based on S-mode addresses, and the ground speed vector information obtained from parsing network packets is updated to the single-flight target linked lists respectively.

[0015] Determine whether the ground velocity vector information stored in the single-flight target linked list meets the solution requirements. If not... Solution requires beg, If no action is taken, then no action is taken; if the calculation requirements are met, then the wind speed vector calculation algorithm is called to calculate the wind speed vector information.

[0016] Obtain the calculation results for a single objective.

[0017] Optionally, an upper limit value for the ground speed vector information within a single flight target list can be set;

[0018] The single-flight target list adopts the first-in-first-out principle. If the new ground speed vector information exceeds the upper limit after being updated to the single-flight target list, the ground speed vector information stored first will be removed.

[0019] Set a calculation timer. The calculation timer periodically traverses multiple single-flight target linked lists. If there is a single-flight target linked list whose stored ground speed vector information meets the calculation requirements, the wind speed vector calculation algorithm is called to calculate the wind speed vector information.

[0020] Specifically, in the fourth step: all single-objective calculation results are stored in the single-objective calculation result database, and multiple single-objective calculation results are stored in different files respectively;

[0021] Set the file storage period. The file storage information should include at least the recording time, S-mode address, wind speed value, wind direction, deviation, and correlation value.

[0022] The data displayed includes: update time, S-mode address, wind speed, wind direction, deviation, and correlation value.

[0023] Specifically, if multi-target wind vector calculation is selected, the third step includes:

[0024] The spatial domain is divided into blocks based on different height layers and different regional locations, and multiple spatial domain block linked lists are constructed.

[0025] If the location of the flight target is within a certain airspace block, the ground speed information vector obtained from parsing the network packet will be updated to the corresponding airspace block linked list.

[0026] Determine whether the ground speed vector information stored in the spatial block linked list meets the solution requirements. If it does not meet the solution requirements, no action is taken. If it meets the solution requirements, the wind speed vector solution algorithm is called to solve the wind speed vector information.

[0027] Obtain the calculation results of the spatial block.

[0028] Optionally, an upper limit value for ground velocity vector information within the airspace block linked list can be set;

[0029] The airspace block list adopts the first-in-first-out principle. If the new ground velocity vector information exceeds the upper limit after being updated to the airspace block list, the ground velocity vector information stored first will be removed.

[0030] Set a solution timer. The solution timer periodically traverses multiple spatial block linked lists. If there is a spatial block linked list with stored ground speed vector information that meets the solution requirements, then call the wind speed vector solution algorithm to solve the wind speed vector information.

[0031] Specifically, in the fourth step: all spatial block calculation results are stored in the spatial block calculation result database, and multiple spatial block calculation results are stored in different files respectively;

[0032] Set the file storage period. The file storage information should include at least the recording time, height layer number, plane airspace number, wind speed value, wind direction, deviation, and correlation value.

[0033] The data is displayed in the form of coordinate axis grid plots and lists. Each calculation height layer corresponds to one coordinate axis grid plot and one table. The display interface allows users to switch between different calculation height layers to view the calculation results of the airspace blocks. The data displayed includes: update time, S-mode address, wind speed value, wind direction, deviation, correlation value, height layer number, and plane airspace number.

[0034] Specifically, the methods for updating the data include:

[0035] Set a timer; when the timer expires, read the wind speed vector calculation algorithm to obtain the calculation result, and display the obtained calculation result.

[0036] If it is necessary to query past data, the calculation results stored in the database will be read and displayed.

[0037] A terminal for inverting upper-level wind vectors based on radar data includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the method for inverting upper-level wind vectors based on radar data as described above.

[0038] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0039] This invention receives secondary radar data and target data from the ADS-B system, then extracts the carried position information, S-mode address information, ground speed vector information, etc., and uses an upper-altitude wind vector inversion algorithm to calculate the upper-altitude wind vector for a single target or multiple targets; thus, it can intuitively provide the controller with wind field information of the aircraft's location, and realize real-time monitoring of meteorological phenomena such as wind shear. Attached Figure Description

[0040] The accompanying drawings illustrate exemplary embodiments of the present invention and, together with the description thereof, serve to explain the principles of the invention. These drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, but do not constitute a limitation on the embodiments of the present invention.

[0041] Figure 1 This is a schematic diagram of an inversion method for high-altitude wind vectors based on radar data according to the present invention. Detailed Implementation

[0042] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0043] It should also be noted that, for ease of description, only the parts relevant to the present invention are shown in the accompanying drawings.

[0044] Where there is no conflict, the embodiments and features described in the present invention can be combined with each other. Reference will be made below to the appendix. Figure 1 The present invention will be described in detail with reference to the embodiments.

[0045] ADS-B is considered a special type of radar data, complementing traditional radar data. This advanced surveillance technology achieves efficient air traffic surveillance by automatically broadcasting information such as aircraft position, altitude, and speed. Compared to traditional radar, ADS-B has greater advantages in timeliness and accuracy, further enhancing the flexibility and response speed of the monitoring system. Combining ADS-B with traditional radar data allows for the full integration of information from both data sources, providing a more comprehensive and real-time view of air traffic conditions. This approach of integrating different data sources not only strengthens the monitoring system's ability to perceive aircraft positions but also provides more comprehensive support for the safety and operational efficiency of the aviation system. By integrating ADS-B and traditional radar data, the aviation monitoring system can more accurately grasp the dynamic information of aircraft, providing pilots and ground controllers with more precise and real-time navigation and surveillance capabilities, thereby significantly improving the overall operational level of the aviation system.

[0046] The combination of radar and ADS-B data provides the aviation industry with more comprehensive and real-time wind field information. ADS-B data includes parameters such as aircraft position, speed, heading, and altitude, while radar data obtains aircraft position and infers speed and altitude information through reflected signals and echo analysis. The integrated use of these two technologies overcomes the limitations of their respective data sources, improving the accuracy and timeliness of wind field conditions.

[0047] By combining radar and ADS-B data, we can gain a more comprehensive understanding of the aeolian characteristics of the atmosphere surrounding an aircraft. Radar data provides measured wind speed and direction information, while ADS-B data provides more detailed flight parameters. Comprehensive analysis of these two types of data yields more accurate and comprehensive wind vector information, including wind field variations in both horizontal and vertical directions. This is of great significance for pilot navigation decisions, air traffic management, and weather monitoring.

[0048] Throughout the entire flight process, the use of integrated radar and ADS-B data can provide more reliable real-time monitoring for aviation systems, helping to optimize flight plans, improve flight efficiency, and ultimately enhance the safety and reliability of the entire air transport system. This integrated application provides stronger decision support for pilots and air traffic management under different weather conditions, especially in complex weather environments.

[0049] This invention addresses the urgent need for real-time, accurate wind field information in the aviation field and the limitations of traditional wind field measurement methods by designing an upper-level wind vector inversion system based on radar data. The practical application of this system can not only provide real-time monitoring of meteorological phenomena such as wind shear throughout the entire flight, but also provide pilots and air traffic management with accurate and comprehensive upper-level wind field data. This has a profound impact on flight safety, operational efficiency, and air traffic management in the aviation field. Domestic research has already been conducted on upper-level wind vector inversion systems based on radar data.

[0050] Example 1

[0051] A method for inverting upper-level wind vectors based on radar data includes:

[0052] The first step is to acquire the network packets of the secondary radar and the ADS-B system. The secondary radar uses ASTERIX CAT048 packets, while the ADS-B system uses ASTERIX CAT021 packets. The network packets are received via the UDP network interface and then buffered in a temporary buffer.

[0053] The second step is to parse the network packets and obtain the aviation data carried in the network packets;

[0054] The third step is to choose to perform wind vector calculation for a single flight target or wind vector calculation for multiple flight targets, and to complete the calculation using a wind speed vector solution algorithm to obtain the calculation results.

[0055] The fourth step is to categorize and store the calculation results in the database, and then display the calculation results as data.

[0056] This embodiment receives secondary radar data and target data from the ADS-B system, then extracts the carried position information, S-mode address information, ground speed vector information, etc., and uses an upper-level wind vector inversion algorithm to calculate the upper-level wind vector for a single target or multiple targets. This method realizes the entire process from data reception, data parsing, wind vector inversion, target situation information, and wind vector information display, and has completed actual data access verification. It can achieve real-time monitoring and inversion of wind field changes, especially for complex meteorological phenomena such as wind shear.

[0057] Example 2

[0058] If single-flight target wind vector calculation is chosen, the methods include:

[0059] The first step is to acquire the network packets of the secondary radar and the ADS-B system. The secondary radar uses ASTERIX CAT048 packets, while the ADS-B system uses ASTERIX CAT021 packets. The network packets are received via the UDP network interface and then buffered in a temporary buffer.

[0060] The second step is to parse the network packets and obtain the aviation data carried in the network packets (including latitude and longitude, geographical location, ground speed vector information, and other information); and obtain the location information, S-mode address information, ground speed vector information, meteorological data, etc. carried in the packets.

[0061] The third step is to construct multiple single-flight target linked lists based on the S-mode address, and update the ground speed vector information (ground speed and direction) obtained from parsing network packets to the single-flight target linked lists respectively.

[0062] Set the upper limit value of ground speed vector information within the single-flight target linked list;

[0063] The single-flight target list adopts the first-in-first-out principle. If the new ground speed vector information exceeds the upper limit after being updated to the single-flight target list, the ground speed vector information stored first will be removed.

[0064] Set a calculation timer. The calculation timer periodically traverses multiple single-flight target linked lists. If there is a single-flight target linked list whose stored ground speed vector information meets the calculation requirements, then the wind speed vector calculation algorithm is called to calculate the wind speed vector information (it is determined whether the ground speed vector information stored in the single-flight target linked list meets the calculation requirements. If it does not meet the calculation requirements, no action is taken; if it does meet the calculation requirements, the wind speed vector calculation algorithm is called to calculate the wind speed vector information).

[0065] Obtain the calculation results for a single objective.

[0066] The fourth step is to store all single-objective calculation results in the single-objective calculation result database, and store multiple single-objective calculation results in different files.

[0067] Set the file storage period (you can choose 30min, 1h, 1.5h, etc.). The file storage information should include at least the recording time, S-mode address, wind speed value, wind direction, deviation, and correlation value.

[0068] The data displayed includes: update time, S-mode address, wind speed, wind direction, deviation, and correlation value.

[0069] Example 3

[0070] If multi-flying target wind vector calculation is chosen, the methods include:

[0071] The first step is to acquire the network packets of the secondary radar and the ADS-B system. The secondary radar uses ASTERIX CAT048 packets, while the ADS-B system uses ASTERIX CAT021 packets. The network packets are received via the UDP network interface and then buffered in a temporary buffer.

[0072] The second step is to parse the network packets and obtain the aviation data carried in them, including location information, S-mode address information, ground speed vector information, and meteorological data.

[0073] The third step is to divide the airspace into blocks based on different height layers and different regional locations, and to construct multiple linked lists of airspace blocks.

[0074] If the location of the flight target is within a certain airspace block, the ground speed information vector obtained from parsing the network packet will be updated to the corresponding airspace block linked list.

[0075] Set the upper limit value of the ground velocity vector information in the airspace block linked list;

[0076] The airspace block list adopts the first-in-first-out principle. If the new ground velocity vector information exceeds the upper limit after being updated to the airspace block list, the ground velocity vector information stored first will be removed.

[0077] A solution timer is set up to periodically traverse multiple spatial block lists. If a spatial block list exists that contains ground speed vector information that meets the solution requirements, the wind speed vector solution algorithm is called to solve the wind speed vector information (it is determined whether the ground speed vector information stored in the spatial block list meets the solution requirements; if it does not meet the solution requirements, no action is taken; if it does meet the solution requirements, the wind speed vector solution algorithm is called to solve the wind speed vector information).

[0078] Obtain the calculation results of the spatial block.

[0079] In the fourth step, the spatial block calculation results are all stored in the spatial block calculation result database, and the calculation results of multiple spatial blocks are stored in different files respectively;

[0080] Set the file storage period. The file storage information should include at least the recording time, height layer number, plane airspace number, wind speed value, wind direction, deviation, and correlation value.

[0081] The data is displayed in the form of coordinate axis grid plots and lists. Each calculation height layer corresponds to one coordinate axis grid plot and one table. The display interface allows users to switch between different calculation height layers to view the calculation results of the airspace blocks. The data displayed includes: update time, S-mode address, wind speed value, wind direction, deviation, correlation value, height layer number, and plane airspace number.

[0082] Example 5

[0083] The content displayed on the data needs to be updated according to requirements. Methods for updating the data include:

[0084] If real-time updates are required, a timer is set. When the timer expires, the wind speed vector calculation algorithm is used to obtain the calculation result, which is then displayed.

[0085] If it is necessary to query past data, the calculation results stored in the database will be read and displayed.

[0086] Example 6

[0087] A terminal for inverting upper-level wind vectors based on radar data includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the above-described method for inverting upper-level wind vectors based on radar data.

[0088] Memory is used to store software programs and modules. The processor executes various terminal functions and data processing by running the software programs and modules stored in memory. Memory can mainly consist of a program storage area and a data storage area. The program storage area can store the operating system, at least one executable program required for a given function, etc.

[0089] The storage data area can store data created based on the use of the terminal. Furthermore, the memory can include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory, or other volatile solid-state storage devices.

[0090] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the above-described method for inverting high-altitude wind vectors based on radar data.

[0091] Without loss of generality, computer-readable media can include computer storage media and communication media. Computer storage media includes volatile and non-volatile, removable and non-removable media implemented using any method or technology for storing information such as computer-readable instruction data structures, program modules, or other data. Computer storage media includes RAM, ROM, EPROM, EEPROM, flash memory or other solid-state storage technologies, CD-ROM, DVD or other optical storage, magnetic tape cassettes, magnetic tape, disk storage, or other magnetic storage devices. Of course, those skilled in the art will recognize that computer storage media are not limited to the above-mentioned types. The aforementioned system memories and mass storage devices can be collectively referred to as memory.

[0092] In the description of this specification, the references to terms such as "one embodiment / mode," "some embodiments / modes," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment / mode or example is included in at least one embodiment / mode or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment / mode or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments / modes or examples. Furthermore, without contradiction, those skilled in the art can combine and integrate the different embodiments / modes or examples described in this specification, as well as the features of different embodiments / modes or examples.

[0093] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0094] Those skilled in the art should understand that the above embodiments are merely for illustrating the present invention and are not intended to limit the scope of the invention. Those skilled in the art can make other changes or modifications based on the above invention, and these changes or modifications still fall within the scope of the present invention.

Claims

1. A method for inverting upper-level wind vectors based on radar data, characterized in that, include: The first step is to acquire the network packets from the secondary radar; Obtain network packets from the ADS-B system; The second step is to parse the network packets and obtain the aviation data carried in the network packets; The third step is to choose to perform wind vector calculation for a single flight target or wind vector calculation for multiple flight targets, and to complete the calculation using a wind speed vector solution algorithm to obtain the calculation results. The fourth step is to categorize and store the calculation results in the database, and then display the calculation results on the data. If you choose to calculate the wind vector of a single flying target, the third step specifically includes: Multiple single-flight target linked lists are constructed based on S-mode addresses, and the ground speed vector information obtained from parsing network packets is updated to the single-flight target linked lists respectively. Determine whether the ground speed vector information stored in the single-flight target linked list meets the calculation requirements. If it does not meet the calculation requirements, no action is taken; if it meets the calculation requirements, the wind speed vector calculation algorithm is called to calculate the wind speed vector information. Obtain the calculation results for a single target; If multi-flying target wind vector calculation is selected, the third step specifically includes: The spatial domain is divided into blocks based on different height layers and different regional locations, and multiple spatial domain block linked lists are constructed. If the location of the flight target is within a certain airspace block, the ground speed information vector obtained from parsing the network packet will be updated to the corresponding airspace block linked list. Determine whether the ground speed vector information stored in the spatial block linked list meets the solution requirements. If it does not meet the solution requirements, no action is taken. If it meets the solution requirements, the wind speed vector solution algorithm is called to solve the wind speed vector information. Obtain the calculation results of the spatial block.

2. The method for inverting upper-level wind vectors based on radar data according to claim 1, characterized in that, In the first step, the secondary radar uses ASTERIX CAT048 messages, and the ADS-B system uses ASTERIX CAT021 messages. Network packets are received via the UDP network interface and then placed into a temporary buffer for caching.

3. The method for inverting upper-level wind vectors based on radar data according to claim 1, characterized in that, Set the upper limit value of ground speed vector information within the single-flight target linked list; The single-flight target list adopts the first-in-first-out principle. If the new ground speed vector information exceeds the upper limit after being updated to the single-flight target list, the ground speed vector information stored first will be removed. Set a calculation timer. The calculation timer periodically traverses multiple single-flight target linked lists. If there is a single-flight target linked list whose stored ground speed vector information meets the calculation requirements, the wind speed vector calculation algorithm is called to calculate the wind speed vector information.

4. The method for inverting upper-level wind vectors based on radar data according to claim 1, characterized in that, In the fourth step: all single-objective calculation results are stored in the single-objective calculation result database, and multiple single-objective calculation results are stored in different files; Set the file storage period. The file storage information should include at least the recording time, S-mode address, wind speed value, wind direction, deviation, and correlation value. The data displayed includes: update time, S-mode address, wind speed, wind direction, deviation, and correlation value.

5. The method for inverting upper-level wind vectors based on radar data according to claim 1, characterized in that, Set the upper limit value of the ground velocity vector information in the airspace block list; The airspace block list adopts the first-in-first-out principle. If the new ground velocity vector information exceeds the upper limit after being updated to the airspace block list, the ground velocity vector information stored first will be removed. Set a solution timer. The solution timer periodically traverses multiple spatial block linked lists. If there is a spatial block linked list with stored ground speed vector information that meets the solution requirements, then call the wind speed vector solution algorithm to solve the wind speed vector information.

6. The method for inverting upper-level wind vectors based on radar data according to claim 1, characterized in that, In the fourth step: all spatial block calculation results are stored in the spatial block calculation result database, and the calculation results of multiple spatial blocks are stored in different files respectively; Set the file storage period. The file storage information should include at least the recording time, height layer number, plane airspace number, wind speed value, wind direction, deviation, and correlation value. The data is displayed in the form of coordinate axis grid plots and lists. Each calculation height layer corresponds to one coordinate axis grid plot and one table. The display interface allows users to switch between different calculation height layers to view the calculation results of the airspace blocks. The data displayed includes: update time, S-mode address, wind speed value, wind direction, deviation, correlation value, height layer number, and plane airspace number.

7. The method for inverting upper-level wind vectors based on radar data according to claim 1, characterized in that, Methods for updating data include: Set a timer; when the timer expires, read the wind speed vector calculation algorithm to obtain the calculation result, and display the obtained calculation result. If it is necessary to query past data, the calculation results stored in the database will be read and displayed.

8. A terminal for inverting high-altitude wind vectors based on radar data, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements a method for inverting high-altitude wind vectors based on radar data as described in any one of claims 1-7.

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