Unmanned aircraft identification method and device based on ATC system

Abstract

The embodiment of the invention discloses an unmanned aerial vehicle identification method and device based on an ATC system. The method comprises the following steps: acquiring monitoring data and flight data through an air traffic control automation system; a plurality of recognition modes are adopted to recognize the unmanned aerial vehicle; the multiple identification modes comprise an unmanned aerial vehicle flight number / responder / 24-bit address code library, aircraft category data items in an ADS-B datagram, AFTN message keywords and an unmanned aerial vehicle flight service station information interaction mode; and carrying out track highlighting and flight data highlighting on the identified unmanned aircraft. Compared with manual screening, identification and attention of the unmanned aircraft, the unmanned aircraft identification and display can be automatically and visually carried out, a controller can be assisted in mastering the flight dynamic state of the unmanned aircraft more easily, conveniently and comprehensively, and a basic control tool is provided for the unmanned aircraft to enter a control airspace in a large scale.

Description

Technical Field

[0001] The present invention relates to the technical field of aircraft identification, and in particular to an unmanned aircraft identification method and device based on an ATC system. Background Art

[0002] To ensure flight safety, countries are currently generally cautious about the operation and management of drones, restricting drones to specific airspaces and isolating and controlling them separately from manned aircraft. However, with limited airspace resources, the isolated operation mode will be difficult to meet the growing application needs of drones. The future development trend is for drones and manned aircraft to share airspace. The Air Traffic Control Automation System (ATC) is the core system for civil aviation air traffic control departments to implement air control. With the widespread application of new aircraft such as drones, the air traffic control automation system will also face more challenges and opportunities. The control procedures and safety intervals of unmanned aircraft and manned aircraft are different. At this stage, the air traffic control automation system lacks the ability to distinguish and display the identifiers and track point signs of unmanned aircraft and manned aircraft, making it difficult to achieve effective control of the integrated operation of manned and unmanned aircraft in shared airspace.

[0003] Currently, the air traffic control automation system has no automatic identification and highlighting capabilities for unmanned aerial vehicles, and requires manual identification and attention. This work is cumbersome and easy to miss, with low operating efficiency and easy to cause safety risks. Summary of the invention

[0004] In view of the defects of the prior art, an object of the embodiments of the present invention is to provide a method and device for identifying an unmanned aerial vehicle based on an ATC system.

[0005] To achieve the above objectives, in a first aspect, an embodiment of the present invention provides an unmanned aerial vehicle identification method based on an ATC system, comprising:

[0006] Obtain surveillance data and flight data through air traffic control automation systems;

[0007] Using multiple identification methods to identify the unmanned aerial vehicle from the surveillance data and / or flight data; the multiple identification methods include identification based on the flight number / transponder / 24-bit address code library of the unmanned aerial vehicle, identification based on the aircraft category data item in the ADS-B data report, identification based on the AFTN message keyword, and identification based on the information interaction method of the unmanned aerial vehicle flight service station;

[0008] Track highlighting and flight data highlighting for identified unmanned aerial vehicles.

[0009] As a first specific implementation method of the present application, an unmanned aerial vehicle is proposed, specifically:

[0010] Create a 24-bit address code knowledge base, a transponder secondary code knowledge base, and a drone flight number knowledge base;

[0011] If one or more of the flight number, transponder secondary code and 24-bit address code in the surveillance data / flight data matches the above-mentioned knowledge base, the unmanned aerial vehicle is identified and the corresponding surveillance data / flight data is marked with an unmanned aerial vehicle identification.

[0012] As a second specific implementation of the present application, an unmanned aerial vehicle is provided, specifically:

[0013] parsing the monitoring data;

[0014] If the 020 data item in the monitoring data is parsed to be 13, an unmanned aerial vehicle is identified, and the corresponding monitoring data is marked with an unmanned aerial vehicle identifier.

[0015] As a third specific implementation of the present application, an unmanned aerial vehicle is proposed, specifically:

[0016] When the air traffic control automation system receives the FPL message from AFTN, if the RMK item of group 18 contains the REMOTEPILOT keyword, the unmanned aircraft is identified and the unmanned aircraft identification is marked on the corresponding flight data.

[0017] As a fourth specific implementation of the present application, an unmanned aerial vehicle is proposed, specifically:

[0018] When the air traffic control automation system creates a new flight plan, it sends the plan verification information to the UAV flight service station, including key elements such as flight number, take-off and landing airports, and estimated take-off time;

[0019] If the flight plan is consistent with the drone plan approval information of the drone flight service station, the drone pilot aircraft identification is marked on the corresponding flight data.

[0020] As a specific implementation of the present application, the track and flight data of the identified unmanned aerial vehicle are highlighted, specifically:

[0021] On the human-machine interface of the air traffic control automation system, the unmanned aircraft system track symbol is marked with a special shape or sign, or the flight number field is underlined to give the controller a prominent reminder;

[0022] On the human-computer interaction interface of the air traffic control automation system, the flight plan will be included in the dedicated unmanned aerial vehicle plan list, giving the controller a prominent prompt.

[0023] In a second aspect, the embodiment of the present application further provides an unmanned aerial vehicle identification device based on an ATC system, comprising:

[0024] An acquisition unit, used to acquire surveillance data and flight data through an air traffic control automation system;

[0025] an identification unit, configured to identify the unmanned aerial vehicle from the surveillance data and / or flight data by using a plurality of identification methods; the plurality of identification methods including identification based on the flight number / transponder / 24-bit address code library of the unmanned aerial vehicle, identification based on the aircraft category data item in the ADS-B data report, identification based on the keyword of the AFTN message, and identification based on the information interaction method of the unmanned aerial vehicle flight service station;

[0026] A display unit is used to highlight the track and flight data of the identified unmanned aerial vehicle.

[0027] In a third aspect, an embodiment of the present invention further provides another unmanned aerial vehicle identification device for an ATC system, comprising a processor, an input device, an output device and a memory, wherein the processor, input device, output device and memory are interconnected, wherein the memory is used to store a computer program, and the computer program includes program instructions, and the processor is configured to call the program instructions to execute the method of the first aspect above.

[0028] The implementation of the embodiment of the present invention provides an unmanned aerial vehicle identification and integrated display solution based on the ATC system. Compared with manual screening, identification and attention to unmanned aerial vehicles, the solution can automatically and intuitively identify and display unmanned aerial vehicles, assisting controllers to grasp the flight dynamics of unmanned aerial vehicles more easily, conveniently and comprehensively, and providing basic control tools for large-scale entry of unmanned aerial vehicles into controlled airspace. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the specific implementation of the present invention or the technical solution in the prior art, the drawings required for use in the specific implementation or the description of the prior art are briefly introduced below.

[0030] Figure 1 is a flow chart of an unmanned aerial vehicle identification method based on an ATC system provided by an embodiment of the present invention;

[0031] Figure 2 yes Figure 1 Another flow chart of the method shown;

[0032] Figure 3 is a structural diagram of an unmanned aerial vehicle identification device based on an ATC system provided by an embodiment of the present invention;

[0033] Figure 4 yes Figure 3 Another structural diagram of the device shown. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0036] The inventive concept of the present invention is that the air traffic control automation system processes two basic data, namely monitoring data and flight data. The present invention identifies unmanned aerial vehicles in multiple ways from the two aspects of monitoring data and flight data, and at the same time highlights the monitoring data and flight data of the unmanned aerial vehicle.

[0037] Please refer to Figure 1 And, the unmanned aerial vehicle identification method based on the ATC system provided by the embodiment of the present invention comprises the following steps:

[0038] S1, create multiple knowledge bases.

[0039] In specific implementation, the flight number, secondary radar transponder code, and 24-bit address code can be used as aircraft identification marks to uniquely confirm the identity of an aircraft separately or in combination. A 24-bit address code knowledge base is created based on the unmanned aircraft airworthiness approval information, a secondary code knowledge base is created based on the dedicated secondary radar transponder code applicable to the drone, and a flight number knowledge base is created based on the unmanned aircraft plan approval information.

[0040] S2, obtains surveillance data and flight data through the air traffic control automation system.

[0041] In specific implementation, surveillance data / flight data such as ADS-B data, AFTN messages and UAV flight service station signals are accessed from the air traffic control automation system.

[0042] S3, using multiple identification methods to identify the unmanned aerial vehicle from the surveillance data and / or flight data.

[0043] In this embodiment, the identification methods mainly include the following:

[0044] (1) Based on flight number / transponder / 24-bit address code library matching and identification

[0045] The air traffic control automation system monitors the surveillance data and flight data in real time. When the flight number / transponder / 24-bit address code of the surveillance / flight data matches the information in the above knowledge base, the unmanned aerial vehicle identification is marked on the corresponding surveillance data and flight data.

[0046] (2) Identification of aircraft category data items based on ADS-B datagrams

[0047] The ADS-B surveillance data format standard CAT021 stipulates that the 020 data item indicates the transmitter category. When the field is 13, it means that the aircraft is an unmanned aerial vehicle. The surveillance data processing module parses the data items sent by the ADS-B surveillance source. When the 020 data item is 13, the unmanned aerial vehicle identification is marked on the corresponding surveillance data.

[0048] (3) Recognition of keywords based on AFTN message grouping 18RMK items

[0049] When the air traffic control automation system receives the FPL message from AFTN, if the RMK item of group 18 contains the REMOTEPILOT keyword, the unmanned aircraft identification is marked on the corresponding flight data.

[0050] (4) Based on the interactive identification of UAV flight service station information

[0051] When the air traffic control automation system creates a new flight plan, it sends plan verification information to the drone flight service station, including key elements such as flight number, take-off and landing airports, and estimated take-off time. If the plan is consistent with the drone plan approval information of the drone flight service station, the unmanned aircraft identification will be marked on the corresponding flight data.

[0052] S4, highlight the track and flight data of the identified unmanned aerial vehicle.

[0053] In this embodiment, the unmanned aerial vehicle is highlighted in the following two ways:

[0054] (1) System track highlighting

[0055] At present, the track symbols of aircraft in the air traffic control automation system cannot distinguish between manned and unmanned aircraft. In this embodiment, the monitoring data has been marked whether it is unmanned aircraft data according to the first and second identification methods. If it is an unmanned aircraft, the human-computer interaction interface will specially mark the system's track symbol with a special shape or sign highlighting or underlining the flight number field, giving the controller a significant prompt.

[0056] (2) Flight data highlighting

[0057] Currently, the plan list in the air traffic control automation system cannot distinguish between manned and unmanned aircraft. This embodiment has marked whether the flight data is unmanned aircraft data according to the first, third, and fourth identification methods. If it is an unmanned aircraft, the human-computer interaction interface will include the plan in the dedicated unmanned aircraft plan list to give the controller a prominent prompt.

[0058] The unmanned aerial vehicle identification and integrated display solution based on the ATC system provided in the embodiment of the present invention can automatically and intuitively identify and display unmanned aerial vehicles compared to manual screening, identification and attention to unmanned aerial vehicles, assisting controllers to grasp the flight dynamics of unmanned aerial vehicles more easily, conveniently and comprehensively, and providing basic control tools for large-scale entry of unmanned aerial vehicles into controlled airspace.

[0059] Based on the same inventive concept, the embodiment of the present invention also provides an unmanned aerial vehicle identification device based on an ATC system, such as Figure 3 As shown, including:

[0060] An acquisition unit, used to acquire surveillance data and flight data through an air traffic control automation system;

[0061] an identification unit, configured to identify the unmanned aerial vehicle from the surveillance data and / or flight data by using a plurality of identification methods; the plurality of identification methods including identification based on the flight number / transponder / 24-bit address code library of the unmanned aerial vehicle, identification based on the aircraft category data item in the ADS-B data report, identification based on the keyword of the AFTN message, and identification based on the information interaction method of the unmanned aerial vehicle flight service station;

[0062] A display unit is used to highlight the track and flight data of the identified unmanned aerial vehicle.

[0063] The identification unit is used for:

[0064] Data matching based on the pre-made 24-bit address code knowledge base, transponder secondary code knowledge base and drone flight number knowledge base;

[0065] If one or more of the flight number, transponder secondary code and 24-bit address code in the surveillance data / flight data matches the above-mentioned knowledge base, the unmanned aerial vehicle is identified and the corresponding surveillance data / flight data is marked with an unmanned aerial vehicle identification.

[0066] Furthermore, the identification unit is also used for:

[0067] Parsing the monitoring data, if the parsed data item 020 in the monitoring data is 13, identifying an unmanned aerial vehicle, and marking the corresponding monitoring data with an unmanned aerial vehicle identifier; or

[0068] When the ATC automation system receives the FPL message from AFTN, if the RMK item of group 18 contains the REMOTEPILOT keyword, it will identify the unmanned aircraft and mark the corresponding flight data with the unmanned aircraft identification; or

[0069] When the air traffic control automation system creates a new flight plan, it sends plan verification information to the drone flight service station, including key elements such as flight number, take-off and landing airports, and estimated take-off time; if the flight plan is consistent with the drone plan approval information of the drone flight service station, the drone pilot aircraft identification is marked on the corresponding flight data.

[0070] Furthermore, the display unit is used for:

[0071] On the human-machine interface of the air traffic control automation system, the unmanned aircraft system track symbol is marked with a special shape or sign, or the flight number field is underlined to give the controller a prominent reminder;

[0072] On the human-computer interaction interface of the air traffic control automation system, the flight plan will be included in the dedicated unmanned aerial vehicle plan list, giving the controller a prominent prompt.

[0073] It should be noted that the specific working process of this embodiment can be found in the aforementioned method embodiment part, which will not be described in detail here.

[0074] Furthermore, another embodiment of the present invention also provides an unmanned aerial vehicle identification device based on an ATC system. Figure 4 As shown, the apparatus may include: one or more processors 101, one or more input devices 102, one or more output devices 103 and a memory 104, wherein the processors 101, the input devices 102, the output devices 103 and the memory 104 are interconnected via a bus 105. The memory 104 is used to store a computer program, wherein the computer program includes program instructions, and the processor 101 is configured to call the program instructions to execute the method of the above method embodiment.

[0075] It should be understood that in the embodiment of the present invention, the processor 101 may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0076] The input device 102 may include a keyboard, etc., and the output device 103 may include a display (LCD, etc.), a speaker, etc.

[0077] The memory 104 may include a read-only memory and a random access memory, and provides instructions and data to the processor 101. A portion of the memory 104 may also include a non-volatile random access memory. For example, the memory 104 may also store information on the device type.

[0078] In a specific implementation, the processor 101, input device 102, and output device 103 described in the embodiment of the present invention can execute the implementation method described in the embodiment of the unmanned aerial vehicle identification method based on the ATC system provided in the embodiment of the present invention, which will not be repeated here.

[0079] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0080] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, or it can be an electrical, mechanical or other form of connection.

[0081] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present invention.

[0082] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0083] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for identifying unmanned aerial vehicles based on an ATC system, characterized in that: include: Obtain surveillance data and flight data through air traffic control automation systems; identifying the unmanned aerial vehicle from the surveillance data and / or flight data using a plurality of identification methods; Multiple identification methods include identification based on the drone flight number / transponder / 24-bit address code library, identification based on aircraft category data items in ADS-B data reports, identification based on AFTN message keywords, and identification based on the information interaction method of the drone flight service station; Track and flight data highlighting for identified unmanned aerial vehicles.

2. The method according to claim 1, characterized in that Unmanned aerial vehicles are identified as: Create a 24-bit address code knowledge base, a transponder secondary code knowledge base, and a drone flight number knowledge base; If one or more of the flight number, transponder secondary code and 24-bit address code in the surveillance data / flight data matches the above-mentioned knowledge base, the unmanned aerial vehicle is identified and the corresponding surveillance data / flight data is marked with the unmanned aerial vehicle identification.

3. The method according to claim 2, characterized in that Create a 24-bit address code knowledge base based on the unmanned aerial vehicle airworthiness approval information; Create a transponder secondary code knowledge base based on the dedicated secondary radar transponder codes applicable to drones; Create a flight number knowledge base based on unmanned aerial vehicle program approval information.

4. The method according to claim 1, characterized in that Unmanned aerial vehicles are identified as: parsing the monitoring data; If the 020 data item in the monitoring data is parsed to be 13, an unmanned aerial vehicle is identified, and the corresponding monitoring data is marked with an unmanned aerial vehicle identifier.

5. The method according to claim 1, characterized in that Unmanned aerial vehicles are identified as: When the air traffic control automation system receives the FPL message from AFTN, if the RMK item of group 18 contains the REMOTE PILOT keyword, the unmanned aircraft is identified and the unmanned aircraft identification is marked on the corresponding flight data.

6. The method according to claim 1, characterized in that Unmanned aerial vehicles are identified as: When the air traffic control automation system creates a new flight plan, it sends the plan verification information to the UAV flight service station, including key elements such as flight number, take-off and landing airports, and estimated take-off time; If the flight plan is consistent with the drone plan approval information of the drone flight service station, the drone pilot aircraft identification is marked on the corresponding flight data.

7. The method according to claim 6, characterized in that Track and flight data of identified unmanned aerial vehicles are highlighted, specifically: On the human-machine interface of the air traffic control automation system, the unmanned aircraft system track symbol is marked with a special shape or sign, or the flight number field is underlined to give the controller a prominent reminder; On the human-computer interaction interface of the air traffic control automation system, the flight plan will be included in the dedicated unmanned aerial vehicle plan list, giving the controller a prominent prompt.

8. An unmanned aircraft identification device based on an ATC system, characterized in that: include: An acquisition unit, used to acquire surveillance data and flight data through an air traffic control automation system; an identification unit, configured to identify the unmanned aerial vehicle from the surveillance data and / or flight data by using a plurality of identification methods; the plurality of identification methods including identification based on the flight number / transponder / 24-bit address code library of the unmanned aerial vehicle, identification based on the aircraft category data item in the ADS-B data report, identification based on the keyword of the AFTN message, and identification based on the information interaction method of the unmanned aerial vehicle flight service station; A display unit is used to highlight the track and flight data of the identified unmanned aerial vehicle.

9. An unmanned aircraft identification device based on an ATC system, characterized in that: The method comprises a processor, an input device, an output device and a memory, wherein the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program comprises program instructions, and the processor is configured to call the program instructions to execute the method according to any one of claims 1 to 7.

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