CN117672014A - Flight path planning method and device, storage medium and electronic equipment - Google Patents

Flight path planning method and device, storage medium and electronic equipment Download PDF

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Publication number
CN117672014A
CN117672014A CN202311568820.6A CN202311568820A CN117672014A CN 117672014 A CN117672014 A CN 117672014A CN 202311568820 A CN202311568820 A CN 202311568820A CN 117672014 A CN117672014 A CN 117672014A
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China
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flight
factors
plan
data
optimizing
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李鹏飞
雷国志
赵庆贺
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CETC 10 Research Institute
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CETC 10 Research Institute
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Priority to CN202311568820.6A priority Critical patent/CN117672014A/en
Publication of CN117672014A publication Critical patent/CN117672014A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G5/00Traffic control systems for aircraft, e.g. air-traffic control [ATC]
    • G08G5/003Flight plan management
    • G08G5/0034Assembly of a flight plan
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/20Instruments for performing navigational calculations

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  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Navigation (AREA)

Abstract

The embodiment of the application provides a flight path planning method, a device, a storage medium and electronic equipment, and relates to the technical field of aviation management, wherein the method comprises the following steps: determining a flight plan for a flight based on flight need data, the flight need data comprising: departure location pattern, destination location pattern, route pattern, historical flight data, flight information, and navigation data; and optimizing the flight plan of the flight according to potential safety hazard factors influencing the safety of the flight to obtain the flight track of the flight, wherein the potential safety hazard factors comprise meteorological environment factors, flight limiting area factors and flight conflict factors of the flight at the waypoint. According to the technical scheme, the flight plan of the flight is determined according to the flight data, the flight plan is optimized by considering potential safety hazard factors, the flight track is generated, the efficiency of making the flight plan and the airspace utilization rate are greatly improved, and the air traffic safety is enhanced.

Description

Flight path planning method and device, storage medium and electronic equipment
Technical Field
The present application relates to the field of aviation management technology, and in particular, to a flight path planning method, a flight path planning apparatus, a computer readable storage medium, and an electronic device.
Background
At present, an air traffic management mode of combining a flight plan with an air management allocation is adopted in the air traffic management of China, a pilot edits the flight plan in a text mode, and then a corresponding flight path is generated after calculation by a flight management computer, in the flight process, a controller regulates the flight plan in real time according to the position, the airspace state, the weather condition and the like of an aircraft, the flight management computer regulates the flight plan according to control information, the management interaction mode is complex, and pre-tactical flight path planning, quick response flight plan change and omnibearing strategic traffic management cannot be realized.
Disclosure of Invention
The embodiment of the application provides a flight path planning method, a flight path planning device, a computer readable storage medium and electronic equipment.
Other features and advantages of the present application will be apparent from the following detailed description, or may be learned in part by the practice of the application.
According to a first aspect of an embodiment of the present application, there is provided a flight path planning method, including:
determining a flight plan for a flight based on flight need data, the flight need data comprising: departure location pattern, destination location pattern, route pattern, historical flight data, flight information, and navigation data;
and optimizing the flight plan of the flight according to potential safety hazard factors influencing the safety of the flight to obtain the flight track of the flight, wherein the potential safety hazard factors comprise meteorological environment factors, flight limiting area factors and flight conflict factors of the flight at the waypoint.
In some embodiments of the present application, based on the foregoing solution, the determining the flight plan of the flight based on the data required for flight of the flight includes:
extracting the waypoint information of the flight by utilizing an image recognition algorithm according to the departure place chart, the destination place chart and the waypoint chart of the flight;
confirming a flight path of the flight from the waypoint information based on historical flight data of the flight;
and combining the flight information and the navigation data of the flights with the flight path to obtain the flight plan.
In some embodiments of the present application, based on the foregoing solution, the optimizing the flight plan of the flight according to the potential safety hazard factor affecting the flight safety to obtain the flight trajectory of the flight includes:
optimizing the flight plan of the flight once according to meteorological environment factors and flight limiting area factors to obtain a once optimized flight plan;
and performing secondary optimization on the primary optimized flight plan of the flight according to flight conflict factors of the flight at the route points to obtain the flight trajectory of the flight.
In some embodiments of the present application, based on the foregoing solution, the optimizing the flight plan of the flight once according to the weather environment factor and the flight restriction area factor includes:
and taking meteorological environment factors and limited flight area factors into consideration, and optimizing the flight plan once by utilizing a path search algorithm.
In some embodiments of the present application, based on the foregoing solution, the performing secondary optimization on the primary optimized flight plan of the flight according to the flight conflict factor of the flight at the waypoint includes:
extracting flight navigation data of the flight from a primary optimized flight plan of the flight, wherein the flight navigation data comprises a waypoint and a flight period at the waypoint;
judging whether flight conflict exists in the set air space based on the navigation data, and performing secondary optimization on the flight with the flight conflict.
In some embodiments of the present application, based on the foregoing solution, the determining, based on the voyage data, whether there is a flight collision in a set air space includes:
acquiring the way points of all flights in a set airspace and the flight time periods at the way points;
judging whether the flight time periods of two flights at the same waypoint have repeated moments or not;
if yes, judging that flight conflict exists between the two flights.
In some embodiments of the present application, based on the foregoing solution, the performing secondary optimization on the flight with the flight conflict includes:
and adjusting the flight speed of any one of the two flights, or adopting an ant colony algorithm to modify the flight path of any one of the two flights.
According to a second aspect of embodiments of the present application, there is provided a flight path planning apparatus, comprising:
a determination unit configured to determine a flight plan of a flight based on flight-required data including: departure location pattern, destination location pattern, route pattern, historical flight data, flight information, and navigation data;
the optimizing unit is used for optimizing the flight plan of the flight according to potential safety hazard factors influencing the flight safety to obtain the flight track of the flight, wherein the potential safety hazard factors comprise meteorological environment factors, flight limiting area factors and flight conflict factors of the flight at the route point.
According to a third aspect of embodiments of the present application, there is provided a computer readable storage medium having stored thereon computer instructions which, when run on a computer, cause the computer to perform the method according to the first aspect described above.
According to a fourth aspect of embodiments of the present application, there is provided an electronic device comprising a memory and a processor;
the memory is used for storing computer instructions;
the processor is configured to invoke the computer instructions stored in the memory, so that the electronic device performs the method according to the first aspect.
According to the technical scheme, the flight plan of the flight is determined according to the flight data, the flight plan is optimized by considering potential safety hazard factors, the flight track is generated, the efficiency of making the flight plan and the airspace utilization rate are greatly improved, and the air traffic safety is enhanced.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application. It is apparent that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art. In the drawings:
FIG. 1 illustrates a flow diagram of a method of flight path planning in accordance with one embodiment of the present application;
FIG. 2 illustrates a schematic structural diagram of a flight path planning apparatus according to one embodiment of the present application;
FIG. 3 illustrates a schematic structural diagram of an electronic device according to one embodiment of the present application;
fig. 4 shows a schematic diagram of a computer system suitable for use in implementing the electronic device of the embodiments of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the present application. One skilled in the relevant art will recognize, however, that the aspects of the application can be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the application.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The following embodiments and features of the embodiments may be combined with each other without conflict.
Referring to fig. 1, a flow diagram of a method of flight path planning according to one embodiment of the present application is shown.
As shown in fig. 1, a flight path planning method is illustrated, including steps S100 to S200.
Step S100, determining a flight plan of a flight based on flight-required data, the flight-required data including: departure location pattern, destination location pattern, route pattern, historical flight data, flight information, and navigation data.
In some possible embodiments, based on the foregoing solution, the step S100 specifically includes:
step S110, extracting the waypoint information of the flight by utilizing an image recognition algorithm according to the departure place chart, the destination place chart and the waypoint chart of the flight.
It will be appreciated that the departure location pattern, destination location pattern, route pattern may be retrieved from a pattern database.
For example, after determining the departure place and destination place of the flight according to the scheduling situation of the flight, the departure place and destination place charts, such as the airport chart, departure chart, route chart, approach chart and approach chart, are searched through an chart database built in the flight plan processing system, and then the relevant route points in the charts are extracted by utilizing the chart recognition algorithm model.
And step S120, confirming the flight path of the flight from the waypoint information based on the historical flight data of the flight.
It will be appreciated that historical flight data may be extracted from a historical flight database.
Illustratively, historical flight data is extracted from a historical flight database, clustering analysis and track fitting are performed by using a flight data analysis algorithm model, and a flight path to be adopted is determined from the waypoints extracted in the step S110.
And step S130, combining the flight information and the navigation data of the flights with the flight path to obtain the flight plan.
It will be appreciated that flight information includes departure time, aircraft weight, fuel volume, flight number, aircraft model, etc., and that navigation data includes altitude, speed, navigation accuracy, restricted airspace, etc. for all waypoints.
The final flight plan is obtained by extracting the navigation data of the altitude, speed, navigation accuracy, limited airspace, and the like of all the waypoints from the departure point to the destination point from the navigation database containing the information of the airport, the wayline, the waypoint, and the like, and combining the flight information of the departure time, the aircraft weight, the oil quantity, the flight number, the aircraft model, and the like on the basis of the flight path determined in step S120.
Step S200, optimizing a flight plan of the flight according to potential safety hazard factors influencing the safety of the flight, and obtaining a flight track of the flight, wherein the potential safety hazard factors comprise meteorological environment factors, flight limiting area factors and flight conflict factors of the flight at a route point.
It will be appreciated that there are many unsafe factors for an aircraft during flight, which need to be avoided during flight planning.
In some possible embodiments, based on the foregoing solution, the step S200 specifically includes:
step S210, optimizing the flight plan of the flight once according to meteorological environment factors and flight limiting area factors to obtain a once optimized flight plan;
step S220, performing secondary optimization on the primary optimized flight plan of the flight according to flight conflict factors of the flight at the waypoint to obtain the flight trajectory of the flight.
It will be appreciated that the weather environmental factors may refer to factors of weather that are detrimental to the flight, the restricted airspace may refer to regions of restricted airspace and dangerous weather, and the flight conflict factors may refer to flight conflicts that occur for two flights at the same location and flight time at the same time.
The primary optimization of the flight plan of the flight according to the meteorological environment factors and the flight limiting area factors comprises the following steps:
in some possible embodiments, based on the foregoing solution, the step S210 specifically includes:
and taking meteorological environment factors and limited flight area factors into consideration, and optimizing the flight plan once by utilizing a path search algorithm.
In some possible embodiments, based on the foregoing solution, the step S220 specifically includes:
extracting flight navigation data of the flight from a primary optimized flight plan of the flight, wherein the flight navigation data comprises a waypoint and a flight period at the waypoint;
judging whether flight conflict exists in the set air space based on the navigation data, and performing secondary optimization on the flight with the flight conflict.
In some possible embodiments, based on the foregoing solution, the determining, based on the voyage data, whether there is a flight collision in the set air space includes:
acquiring the way points of all flights in a set airspace and the flight time periods at the way points;
judging whether the flight time periods of two flights at the same waypoint have repeated moments or not;
if yes, judging that flight conflict exists between the two flights.
It is understood that the flight period is a data set consisting of the time of flight.
Exemplary, for example, setting an air space includes waypoints, chongqing and Beijing; and if the flight time period of the flight 1 in Chongqing is 8.10-8.30 a.m. and the flight time period of the flight 2 in Chongqing is 8.20-8.40 a.m., judging that the flight 1 and the flight 2 have flight conflict.
In some possible embodiments, based on the foregoing solution, the performing secondary optimization on flights with flight conflicts includes:
and adjusting the flight speed of any one of the two flights, or adopting an ant colony algorithm to modify the flight path of any one of the two flights.
It will be appreciated that when there is a conflict between two flights, the flight conflict may be avoided by modifying the flight path or speed of one of the flights.
It can be understood that the track planning can be performed by using the technical scheme of the application before the aircraft takes off, and the dynamic planning can also be performed by using the technical scheme of the application in the aircraft flight process.
In conclusion, the technical scheme can improve the air traffic running efficiency and ensure the navigation safety of the airplane.
The following describes an embodiment of the apparatus of the present application, which may be used to perform a flight path planning method according to the above-described embodiments of the present application. For details not disclosed in the embodiments of the apparatus of the present application, please refer to the embodiments of the method described in the present application.
Referring to fig. 2, a flight path planning apparatus 200 according to one embodiment of the present application includes: a determining unit 201 and an optimizing unit 202.
Wherein the determining unit 201 is configured to determine a flight plan of a flight based on flight required data, the flight required data including: departure location pattern, destination location pattern, route pattern, historical flight data, flight information, and navigation data; the optimizing unit 202 is configured to optimize a flight plan of the flight according to potential safety hazard factors affecting the safety of the flight, so as to obtain a flight trajectory of the flight, where the potential safety hazard factors include weather environment factors, flight limiting area factors, and flight conflict factors of the flight at the waypoint.
In some possible embodiments, based on the foregoing scheme, the determining unit 201 is configured to:
extracting the waypoint information of the flight by utilizing an image recognition algorithm according to the departure place chart, the destination place chart and the waypoint chart of the flight;
confirming a flight path of the flight from the waypoint information based on historical flight data of the flight;
and combining the flight information and the navigation data of the flights with the flight path to obtain the flight plan.
In some possible embodiments, based on the foregoing scheme, the optimizing unit 202 includes: the primary optimization unit is used for carrying out primary optimization on the flight plan of the flight according to the meteorological environment factors and the flight limiting area factors to obtain a primary optimized flight plan; the secondary optimization unit is used for performing secondary optimization on the primary optimized flight plan of the flight according to flight conflict factors of the flight at the route point to obtain the flight trajectory of the flight.
In some possible embodiments, based on the foregoing scheme, the primary optimization unit is configured to:
and taking meteorological environment factors and limited flight area factors into consideration, and optimizing the flight plan once by utilizing a path search algorithm.
In some possible embodiments, based on the foregoing solution, the secondary optimization unit includes: an extracting unit, configured to extract flight data of a flight from an optimized flight plan of the flight, where the flight data includes a waypoint and a flight period at the waypoint; the judging unit is used for judging whether flight conflicts exist in a set air space or not based on the navigation data; and the secondary optimization subunit is used for carrying out secondary optimization on flights with flight conflicts.
In some possible embodiments, based on the foregoing scheme, the determining unit is configured to:
the determining whether flight collision exists in the set air space based on the navigation data comprises the following steps:
acquiring the way points of all flights in a set airspace and the flight time periods at the way points;
judging whether the flight time periods of two flights at the same waypoint have repeated moments or not;
if yes, judging that flight conflict exists between the two flights.
In some possible embodiments, based on the foregoing scheme, the secondary optimization subunit is configured to:
and adjusting the flight speed of any one of the two flights, or adopting an ant colony algorithm to modify the flight path of any one of the two flights.
As shown in fig. 3, the embodiment of the present application further provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and capable of running on the processor, where the processor 320 implements a flight path planning method as described above when executing the computer program 311.
Since the electronic device described in this embodiment is a device for implementing a flight path planning apparatus in this embodiment, based on the method described in this embodiment, those skilled in the art can understand the specific implementation of the electronic device in this embodiment and various modifications thereof, so how the electronic device implements the method in this embodiment will not be described in detail herein, and as long as those skilled in the art implement the device for implementing the method in this embodiment, the method falls within the scope of protection intended by this application.
In a specific implementation, any implementation manner of the embodiment corresponding to the first aspect may be implemented when the computer program 411 is executed by a processor.
Fig. 4 shows a schematic diagram of a computer system suitable for use in implementing the electronic device of the embodiments of the present application.
It should be noted that, the computer system 400 of the electronic device shown in fig. 4 is only an example, and should not impose any limitation on the functions and the application scope of the embodiments of the present application.
As shown in fig. 4, the computer system 400 includes a central processing unit (Central Processing Unit, CPU) 401 that can perform various appropriate actions and processes, such as performing the methods described in the above embodiments, according to a program stored in a Read-Only Memory (ROM) 402 or a program loaded from a storage section 408 into a random access Memory (Random Access Memory, RAM) 403. In the RAM 403, various programs and data required for the system operation are also stored. The CPU 401, ROM 402, and RAM 403 are connected to each other by a bus 404. An Input/Output (I/O) interface 405 is also connected to bus 404.
The following components are connected to the I/O interface 405: an input section 406 including a keyboard, a mouse, and the like; an output portion 407 including a Cathode Ray Tube (CRT), a liquid crystal display (Liquid Crystal Display, LCD), and the like, a speaker, and the like; a storage section 408 including a hard disk or the like; and a communication section 409 including a network interface card such as a LAN (Local Area Network ) card, a modem, or the like. The communication section 409 performs communication processing via a network such as the internet. The drive 410 is also connected to the I/O interface 405 as needed. A removable medium 411 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed on the drive 410 as needed, so that a computer program read therefrom is installed into the storage section 408 as needed.
In particular, according to embodiments of the present application, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 409 and/or installed from the removable medium 411. When executed by a Central Processing Unit (CPU) 401, performs the various functions defined in the system of the present application.
It should be noted that, the computer readable medium shown in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-Only Memory (ROM), an erasable programmable read-Only Memory (Erasable Programmable Read Only Memory, EPROM), flash Memory, an optical fiber, a portable compact disc read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present application, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Where each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present application may be implemented by means of software, or may be implemented by means of hardware, and the described units may also be provided in a processor. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
As another aspect, the present application also provides a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions to cause the computer device to perform a flight path planning method as described in the above embodiments.
As another aspect, the present application also provides a computer-readable medium that may be contained in the electronic device described in the above embodiment; or may exist alone without being incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to implement a flight path planning method as described in the above embodiments.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functions of two or more modules or units described above may be embodied in one module or unit, in accordance with embodiments of the present application. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a usb disk, a mobile hard disk, etc.) or on a network, and includes several instructions to cause a computing device (may be a personal computer, a server, a touch terminal, or a network device, etc.) to perform the method according to the embodiments of the present application.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is to be understood that the present application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims (10)

1. A method of flight path planning comprising:
determining a flight plan for a flight based on flight need data, the flight need data comprising: departure location pattern, destination location pattern, route pattern, historical flight data, flight information, and navigation data;
and optimizing the flight plan of the flight according to potential safety hazard factors influencing the safety of the flight to obtain the flight track of the flight, wherein the potential safety hazard factors comprise meteorological environment factors, flight limiting area factors and flight conflict factors of the flight at the waypoint.
2. The method of claim 1, wherein the determining a flight plan for a flight based on data required for the flight of the flight comprises:
extracting the waypoint information of the flight by utilizing an image recognition algorithm according to the departure place chart, the destination place chart and the waypoint chart of the flight;
confirming a flight path of the flight from the waypoint information based on historical flight data of the flight;
and combining the flight information and the navigation data of the flights with the flight path to obtain the flight plan.
3. The method of claim 1, wherein optimizing the flight plan of the flight based on the potential safety hazard factors affecting the safety of the flight to obtain the flight trajectory of the flight comprises:
optimizing the flight plan of the flight once according to meteorological environment factors and flight limiting area factors to obtain a once optimized flight plan;
and performing secondary optimization on the primary optimized flight plan of the flight according to flight conflict factors of the flight at the route points to obtain the flight trajectory of the flight.
4. A method according to claim 3, wherein optimizing the flight plan of the flight once based on weather environmental factors and limited flight zone factors comprises:
and taking meteorological environment factors and limited flight area factors into consideration, and optimizing the flight plan once by utilizing a path search algorithm.
5. A method according to claim 3, wherein said secondarily optimizing the primary optimized flight plan of the flight based on flight conflict factors of the flight at the waypoint comprises:
extracting flight navigation data of the flight from a primary optimized flight plan of the flight, wherein the flight navigation data comprises a waypoint and a flight period at the waypoint;
judging whether flight conflict exists in the set air space based on the navigation data, and performing secondary optimization on the flight with the flight conflict.
6. The method of claim 5, wherein determining whether a flight has a flight conflict within a set airspace based on the voyage data comprises:
acquiring the way points of all flights in a set airspace and the flight time periods at the way points;
judging whether the flight time periods of two flights at the same waypoint have repeated moments or not;
if yes, judging that flight conflict exists between the two flights.
7. The method of claim 6, wherein the secondarily optimizing flights for which flight conflicts exist comprises:
and adjusting the flight speed of any one of the two flights, or adopting an ant colony algorithm to modify the flight path of any one of the two flights.
8. A flight path planning apparatus, comprising:
a determination unit configured to determine a flight plan of a flight based on flight-required data including: departure location pattern, destination location pattern, route pattern, historical flight data, flight information, and navigation data;
the optimizing unit is used for optimizing the flight plan of the flight according to potential safety hazard factors influencing the flight safety to obtain the flight track of the flight, wherein the potential safety hazard factors comprise meteorological environment factors, flight limiting area factors and flight conflict factors of the flight at the route point.
9. A computer readable storage medium having stored thereon computer instructions which when run on a computer cause the computer to perform the method of any of claims 1-7.
10. An electronic device, comprising:
a memory and a processor;
the memory is used for storing computer instructions;
the processor configured to invoke computer instructions stored in the memory, to cause the electronic device to perform the method of any of claims 1-7.
CN202311568820.6A 2023-11-22 2023-11-22 Flight path planning method and device, storage medium and electronic equipment Pending CN117672014A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311568820.6A CN117672014A (en) 2023-11-22 2023-11-22 Flight path planning method and device, storage medium and electronic equipment

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Application Number Priority Date Filing Date Title
CN202311568820.6A CN117672014A (en) 2023-11-22 2023-11-22 Flight path planning method and device, storage medium and electronic equipment

Publications (1)

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CN117672014A true CN117672014A (en) 2024-03-08

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