CN106323295A - Method for diverting aircraft under dangerous weather conditions on basis of weather radar data - Google Patents

Method for diverting aircraft under dangerous weather conditions on basis of weather radar data Download PDF

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Publication number
CN106323295A
CN106323295A CN201610753818.XA CN201610753818A CN106323295A CN 106323295 A CN106323295 A CN 106323295A CN 201610753818 A CN201610753818 A CN 201610753818A CN 106323295 A CN106323295 A CN 106323295A
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thunderstorm
airborne vehicle
region
bit path
weather
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CN106323295B (en
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蒋昕
陈龙
陈平
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709th Research Institute of CSIC
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709th Research Institute of CSIC
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    • 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
    • G01C21/24Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for cosmonautical navigation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88Radar or analogous systems specially adapted for specific applications
    • G01S13/95Radar or analogous systems specially adapted for specific applications for meteorological use
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/10Simultaneous control of position or course in three dimensions
    • G05D1/101Simultaneous control of position or course in three dimensions specially adapted for aircraft
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

The invention discloses a method for diverting an aircraft under dangerous weather conditions on the basis of weather radar data. Firstly, related weather data are acquired through weather radar, thunderstorm areas at different dangerous grades are drawn, and the position and the range of influence of the thunderstorm area at each dangerous grade are determined; secondarily, an aircraft diversion route planning model is established according to the dangerous grades of the thunderstorm areas; finally, a safe flight route avoiding the dangerous thunderstorm areas is planned in real time for the aircraft in combination with a dynamic diversion route planning method, and the aircraft is diverted in the dangerous weather. By means of the method, the safe flight route can be automatically planned for the aircraft under the dangerous weather condition, the workload of an air traffic control worker is effectively reduced, and safe flight of the aircraft in the dangerous weather is guaranteed.

Description

Airborne vehicle under a kind of dangerous meteorological condition based on weather radar data for communication changes boat method
Technical field
The present invention relates to specific technique field, air traffic control field, be specifically related to a kind of danger based on weather radar data for communication Airborne vehicle under meteorological condition changes boat method.
Background technology
Along with the fast development of China's aviation transport, a large amount of flights are delayed following, and wherein hazardous weather has become For affecting the delayed key factor of China, the most how to reduce the flight under hazardous weather and be delayed phenomenon, improve sky The utilization rate of territory resource, guarantee airborne vehicle safe flight, have become as and be badly in need of the problem that we solve.
In civil aviation system, hazardous weather refers to the aircraft influential weather phenomenon of safety, predominantly: Thunderstorm, turbulent flow, wind shear, obstruction to vision and strong wind etc., from the point of view of history Civil Aviation Meteorological aviation accident statistical data, have 47% Aviation accident caused by thunderstorm, therefore the present invention sets up and changing boat research on the basis of to thunderstorm analysis, follow-up mentions Hazardous weather all refer to thunderstorm.
Airborne vehicle under hazardous weather changes boat and refers in the case of hazardous weather affects airborne vehicle planned course, for aviation One safety of device arrangement, economic temporary track dodge hazardous weather.At present, the boat research that changes under hazardous weather uses vacation more If weather data, not well do not combine with China meteorological system.The airborne vehicle that the present invention focuses under hazardous weather changes Boat technology, the data provided in conjunction with weather radar, under thunderstorm meteorological condition, the flight path of a safety is planned for airborne vehicle.
Summary of the invention
In order to overcome the deficiencies in the prior art, the present invention provides under a kind of dangerous meteorological condition based on weather radar data for communication Airborne vehicle change boat method, under thunderstorm meteorological condition, in conjunction with meteorological system be airborne vehicle planning one safety flight path, Reduce the flight under hazardous weather to be delayed phenomenon, the utilization rate improving spatial domain resource, guarantee airborne vehicle safe flight.Used Technical scheme is:
Airborne vehicle under a kind of dangerous meteorological condition based on weather radar data for communication changes boat method, comprises the following steps:
Step 1, changes and sets thunderstorm region
The radar return picture provided according to weather radar, uses image processing techniques to isolate different grades of thunderstorm belt Territory, height picture at the bottom of the echo high provided in combination with weather radar and echo, obtain the height change in each thunderstorm region Scope, and different grades of thunderstorm region is shown on empty graph;
Step 2, rerouting strategy models
The thunderstorm region set according to step 1 stroke, in conjunction with corresponding thunderstorm danger classes, takes into full account that pilot works negative The limiting factor such as lotus, aircraft performance, using single airborne vehicle as object of study, sets up the mathematical model changing bit path planning;
Step 3, dynamic programming changes bit path
The feature constantly move for thunderstorm, changed, in conjunction with rerouting strategy model, thunderstorm zone level coverage and Highly coverage, changes bit path for airborne vehicle planning in real time.
Having the beneficial effects that of the method that the present invention provides: first pass through weather radar and obtain relevant weather data, draw and set Going out the thunderstorm region of different danger classes, determine position and the coverage in each grade thunderstorm region, the method is different from Traditional drawing the method setting single hazardous weather region, different grades of thunderstorm region is carried out drawing and sets by the present invention, determines simultaneously The height change scope of thunderstorm;Secondly according to thunderstorm region danger classes, the shortest to change bit path, averagely change bit path danger etc. The minimum optimization aim of level is set up airborne vehicle and is changed bit path plan model;Finally combine and dynamically change bit path planing method, in real time Plan that a safe flight path dodging thunderstorm deathtrap, the method and conventional dynamic change bit path planning side for airborne vehicle The difference of method is, it is considered to while the horizontal coverage of thunderstorm, it is also contemplated that thunderstorm height change scope is to changing air route The impact of footpath planning.Therefore, the present invention can realize automatically planning for airborne vehicle the flight of a safety under dangerous meteorological condition Path, is effectively reduced the workload of air traffic controller, it is ensured that airborne vehicle safe flight under hazardous weather, improves sky Territory resource utilization, efficiently reduces the flight under hazardous weather and is delayed.
Accompanying drawing explanation
Fig. 1 is that the airborne vehicle under a kind of based on weather radar data for communication the dangerous meteorological condition that the present invention provides changes boat method Overall flow figure
Fig. 2 is that the airborne vehicle under a kind of based on weather radar data for communication the dangerous meteorological condition that the present invention provides changes boat method Thunderstorm region draw and set flow chart
Fig. 3 is that the airborne vehicle under a kind of based on weather radar data for communication the dangerous meteorological condition that the present invention provides changes boat method Dynamically change bit path planning flow chart
Fig. 4 is that the airborne vehicle under a kind of based on weather radar data for communication the dangerous meteorological condition that the present invention provides changes boat method Described in thunderstorm grade circle schematic diagram
Detailed description of the invention
Below in conjunction with the accompanying drawings the present invention is described further.
In conjunction with Fig. 1, Fig. 2, Fig. 3, the boat under a kind of based on weather radar data for communication the dangerous meteorological condition that the present invention proposes Pocket changes boat method, specifically includes following steps:
Step 1, changes and sets thunderstorm region
The radar return picture provided according to weather radar, uses image processing techniques to isolate different grades of thunderstorm belt Territory, height picture at the bottom of the echo high provided in combination with weather radar and echo, obtain the height change in each thunderstorm region Scope, and different grades of thunderstorm region is shown on empty graph;Particularly as follows:
Step 101, processes radar echo map, it is thus achieved that the RGB color value of each echo grade, and according to thunderstorm etc. Level, obtains the position of each grade thunderstorm pixel;
Step 102, processes height figure at the bottom of echo high, echo, it is thus achieved that the RGB color value of each height, and according to The thunderstorm pixel position obtained in step 101, obtains corresponding echo high in height figure at the bottom of echo high figure and echo, returns Wave base high data;
Step 103, it is corresponding more than or equal to the pixel and this pixel specifying thunderstorm grade to preserve echo reflection rate Coordinate, forms the picture in this grade thunderstorm belt territory;
Step 104, the thunderstorm region picture of a certain grade that step 103 is obtained, use image processing techniques, obtaining should The polygonal profile in thunderstorm region;
Step 105, is scheming according to the latitude and longitude coordinates of weather radar position, the resolution of picture and thunderstorm region Position coordinates on sheet, calculates the latitude and longitude coordinates that different brackets thunderstorm region pixel is corresponding;
Step 106, according to the latitude and longitude coordinates in thunderstorm region, draws different brackets thunderstorm region contour different colours On empty graph, form thunderstorm grade circle.
Thunderstorm region is divided into 0-6 grade according to the echo class information of weather radar, as shown in the table:
Table 1 thunderstorm region grade classification
Step 2, rerouting strategy models
The thunderstorm region set according to step 1 stroke, in conjunction with corresponding thunderstorm danger classes, takes into full account that pilot works negative The limiting factor such as lotus, aircraft performance, using single airborne vehicle as object of study, the shortest to change bit path, averagely change bit path The minimum optimization aim of danger classes sets up the mathematical model changing bit path planning;
Object function:
min D i s = Σ i = 0 N T l d ( p i , p i + 1 ) min S a f e = Σ i = 0 N T Σ e c h o = 0 6 e c h o 6 × d e c h o ( p i , p i + 1 )
Dis represents and changes bit path length, wherein p0、pNT+1For changing boat starting point and end point, piFor changing turning during boat Curved, NTFor turning point number, ld(pi,pi+1) represent leg pi-pi+1Voyage;Safe represents the average danger changing bit path Grade, change equal to every section bit path through the danger classes sum in thunderstorm region.Wherein echo is the danger classes in thunderstorm region, decho(pi,pi+1) it is the thunderstorm regional effect (p of this gradei,pi+1) section changes the leg length of bit path.
Constraints:
Echo < 3 (1)
l d ( p i , p i + 1 ) ≥ l d m i n , ∀ i = 0 , ... , N T - - - ( 2 )
θ p i ≤ θ m a x , ∀ i = 1 , ... , N T - - - ( 3 )
Formula (1) represents for security consideration, changes bit path and does not allow to be more than through danger classes the thunderstorm region of 3;Formula (2) Representing guarantee airborne vehicle and smoothly complete turning, its leg length should be greater than equal to the shortest leg length, wherein ldMin represents The shortest leg length;Formula (3) expression combines aircraft performance and pilot guidance level, and the angle of turn of airborne vehicle should be less than Equal to the maximum angle of turn allowed, wherein θpiRepresent the angle of turn changing bit path, θmaxRepresent the maximum turning angle allowed Degree.
Step 3, dynamic programming changes bit path
The feature constantly move for thunderstorm, changed, in conjunction with rerouting strategy model, thunderstorm zone level coverage and Highly coverage, changes bit path for airborne vehicle planning in real time.Particularly as follows:
Step 301, updates the time according to airborne vehicle cruising speed, weather radar, it is judged that airborne vehicle flies in this timeslice Time whether affected by thunderstorm, if having an impact, then go to step 302, otherwise terminate;
Step 302, arranges current time sheet i=1;
Step 303, according to hazardous weather region (the thunderstorm danger classes region more than the 3) position that i-th timeslice is corresponding Put, horizontal coverage, in conjunction with the latitude and longitude information in airborne vehicle project flight path, it is judged that whether airborne vehicle is subject at two-dimensional space To this thunderstorm regional occlusion, if blocking, then go to step 304, otherwise go to step 307;
Step 304, according to the height change scope in the aircraft height hazardous weather region corresponding with this timeslice, Judge whether airborne vehicle flies in this altitude range, be to go to step 305, otherwise go to step 307;
Step 305, for needing to change the airborne vehicle of boat, determines and changes boat starting point and end point, utilize rerouting strategy model Plan one and change bit path;
Step 306, updates the time according to changing bit path voyage, airborne vehicle cruising speed and weather radar, calculates and change boat Path needs timeslice number n of flight;
Step 307, i=i+1;
Step 308, it was predicted that airborne vehicle edge changes the position after bit path one timeslice of flight, and arranging this position is P, according to The position in hazardous weather region corresponding to i-th timeslice, horizontal extent, the longitude and latitude in conjunction with airborne vehicle project flight path is believed Breath, it is judged that airborne vehicle from P point to change boat end point change whether bit path is blocked by thunderstorm, if blocking, then go to step 309, otherwise go to step 307;
Step 309, according to aircraft height, the height change scope in the hazardous weather region that this timeslice is corresponding, Judge whether airborne vehicle flies in this altitude range, be to go to step 310, otherwise go to step 307;
Step 310, with P for changing boat starting point, changes boat end point constant, re-starts and change bit path planning;
Step 311, if i=n, dynamically changes bit path planning and terminates, otherwise go to step 307.
The part not illustrated in description is prior art or common knowledge.The present embodiment is merely to illustrate this invention, Rather than restriction the scope of the present invention, the equivalent replacement that those skilled in the art are made for the present invention etc. is revised and is all considered Fall in this invention claims institute protection domain.

Claims (6)

1. the airborne vehicle under a dangerous meteorological condition based on weather radar data for communication changes boat method, it is characterised in that:
Idiographic flow is as follows:
Step 1, changes and sets thunderstorm region
The radar return picture provided according to weather radar, uses image processing techniques to isolate different grades of thunderstorm region, Height picture at the bottom of the echo high provided in combination with weather radar and echo, obtains the height change model in each thunderstorm region Enclose, and different grades of thunderstorm region is shown on empty graph;
Step 2, rerouting strategy models
The thunderstorm region set according to step 1 stroke, in conjunction with corresponding thunderstorm danger classes, takes into full account pilot work load, boat The limiting factors such as pocket performance, using single airborne vehicle as object of study, set up the mathematical model changing bit path planning;
Step 3, dynamic programming changes bit path
The feature constantly move for thunderstorm, changed, in conjunction with rerouting strategy model, thunderstorm zone level coverage and height Coverage, changes bit path for airborne vehicle planning in real time.
Airborne vehicle under a kind of dangerous meteorological condition based on weather radar data for communication the most according to claim 1 changes boat side Method, it is characterised in that: described thunderstorm region is divided into 0-6 grade according to the echo class information of weather radar, such as following table institute Show:
Table 1 thunderstorm region grade classification
Airborne vehicle under a kind of dangerous meteorological condition based on weather radar data for communication the most according to claim 2 changes boat side Method, it is characterised in that: described step 1 idiographic flow is as follows:
Step 101, processes radar echo map, it is thus achieved that the RGB color value of each echo grade, and according to thunderstorm grade, Obtain the position of each grade thunderstorm pixel;
Step 102, processes height figure at the bottom of echo high, echo, it is thus achieved that the RGB color value of each height, and according to step The thunderstorm pixel position obtained in 101, obtains at the bottom of corresponding echo high, echo in height figure at the bottom of echo high figure and echo High data;
Step 103, preserves echo reflection rate more than or equal to the pixel specifying thunderstorm grade and the coordinate that this pixel is corresponding, Form the picture in this grade thunderstorm belt territory;
Step 104, the thunderstorm region picture of a certain grade that step 103 is obtained, use image processing techniques, obtain this thunderstorm The polygonal profile in region;
Step 105, according to the latitude and longitude coordinates of weather radar position, the resolution of picture and thunderstorm region on picture Position coordinates, calculate the latitude and longitude coordinates that different brackets thunderstorm region pixel is corresponding;
Step 106, according to the latitude and longitude coordinates in thunderstorm region, is plotted to sky by different brackets thunderstorm region contour different colours On figure, form thunderstorm grade circle.
Airborne vehicle under a kind of dangerous meteorological condition based on weather radar data for communication the most according to claim 3 changes boat side Method, it is characterised in that: described step 2 particularly as follows:
In conjunction with thunderstorm danger classes, the shortest to change bit path, averagely change the foundation of bit path danger classes minimum optimization aim and change Bit path mathematics for programming model, model is as follows:
Object function:
Dis represents and changes bit path length, wherein p0For changing boat starting point and end point, piFor changing the turning during boat Point, NTFor turning point number, ld(pi,pi+1) represent leg pi-pi+1Voyage;Safe represents the average danger etc. changing bit path Level, change equal to every section bit path through the danger classes sum in thunderstorm region.Wherein echo is the danger classes in thunderstorm region, decho(pi,pi+1) it is the thunderstorm regional effect (p of this gradei,pi+1) section changes the leg length of bit path.
Constraints:
Echo < 3 (1)
Formula (1) represents for security consideration, changes bit path and does not allow to be more than through danger classes the thunderstorm region of 3;Formula (2) represents In order to ensure that airborne vehicle smoothly completes turning, its leg length should be greater than equal to the shortest leg length, wherein ldMin represents the shortest Leg length;Formula (3) expression combines aircraft performance and pilot guidance level, and the angle of turn of airborne vehicle should be less than being equal to The maximum angle of turn allowed, whereinRepresent the angle of turn changing bit path, θmaxRepresent the maximum angle of turn allowed.
Airborne vehicle under a kind of dangerous meteorological condition based on weather radar data for communication the most according to claim 4 changes boat side Method, it is characterised in that: the idiographic flow of described step 3 is as follows:
Step 301, updates the time according to airborne vehicle cruising speed, weather radar, it is judged that airborne vehicle when this timeslice flight is No affected by thunderstorm, if having an impact, then go to step 302, otherwise terminate;
Step 302, arranges current time sheet i=1;
Step 303, according to hazardous weather regional location corresponding to i-th timeslice, horizontal coverage, in conjunction with airborne vehicle plan The latitude and longitude information of flight path, it is judged that whether airborne vehicle, by this thunderstorm regional occlusion then goes to if blocking at two-dimensional space Step 304, otherwise goes to step 307;
Step 304, according to the height change scope in the aircraft height hazardous weather region corresponding with this timeslice, it is judged that Whether airborne vehicle flies in this altitude range, is to go to step 305, otherwise goes to step 307;
Step 305, for needing to change the airborne vehicle of boat, determines and changes boat starting point and end point, utilize rerouting strategy model to plan Article one, change bit path;
Step 306, updates the time according to changing bit path voyage, airborne vehicle cruising speed and weather radar, calculates and change bit path Need timeslice number n of flight;
Step 307, i=i+1;
Step 308, it was predicted that airborne vehicle edge changes the position after bit path one timeslice of flight, and arranging this position is P, according to i-th The position in hazardous weather region corresponding to individual timeslice, horizontal extent, in conjunction with the latitude and longitude information in airborne vehicle project flight path, Judge airborne vehicle from P point to change boat end point change whether bit path is blocked by thunderstorm, if blocking, then go to step 309, Otherwise go to step 307;
Step 309, according to aircraft height, the height change scope in the hazardous weather region that this timeslice is corresponding, it is judged that Whether airborne vehicle flies in this altitude range, is to go to step 310, otherwise goes to step 307;
Step 310, with P for changing boat starting point, changes boat end point constant, re-starts and change bit path planning;
Step 311, if i=n, dynamically changes bit path planning and terminates, otherwise go to step 307.
Airborne vehicle under a kind of dangerous meteorological condition based on weather radar data for communication the most according to claim 5 changes boat side Method, it is characterised in that: the hazardous weather region described in step 303 refers to the thunderstorm danger classes region more than 3.
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Cited By (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107153177A (en) * 2017-06-28 2017-09-12 中国航空工业集团公司雷华电子技术研究所 A kind of verification method of airborne weather radar rainfall result of detection
CN107194493A (en) * 2017-04-14 2017-09-22 南京航空航天大学 The air traffic of terminal spatial domain is delayed Forecasting Methodology under the influence of a kind of Short-term Weather
CN107560614A (en) * 2017-08-04 2018-01-09 北京小米移动软件有限公司 Route planning method and device
CN107830864A (en) * 2017-11-01 2018-03-23 飞友科技有限公司 A kind of aircarrier aircraft bad weather is diversion route planning system and method
CN108151746A (en) * 2017-12-27 2018-06-12 中国人民解放军国防科技大学 Improved label real-time airway re-planning method based on multi-resolution situation mapping
CN108871371A (en) * 2018-04-08 2018-11-23 广东容祺智能科技有限公司 A kind of UAV Navigation System
CN109215399A (en) * 2018-11-07 2019-01-15 中国电子科技集团公司第二十八研究所 A kind of termination environment intelligence stream interface driver generation method
CN109376895A (en) * 2018-08-28 2019-02-22 中国电子科技集团公司第二十八研究所 Civil aviaton's flow management policy development method and system based on real time radar reflectogram
CN109978286A (en) * 2019-05-07 2019-07-05 中国民用航空飞行学院 It is a kind of to be diversion thunderstorm Route planner based on the more aircrafts for improving ant group algorithm
CN110531360A (en) * 2019-08-28 2019-12-03 中船重工鹏力(南京)大气海洋信息系统有限公司 A kind of X-band weather radar networking data processing method
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CN111680840A (en) * 2020-06-09 2020-09-18 大蓝洞(南京)科技有限公司 Flight re-navigation method around dangerous weather
CN111780766A (en) * 2020-07-07 2020-10-16 中国民航大学 Dynamic diversion planning method integrating dynamic risk graph and improved A-algorithm
CN112083734A (en) * 2019-06-12 2020-12-15 中国民航大学 Collective flight path planning method using probabilistic weather forecast
CN112102650A (en) * 2019-06-18 2020-12-18 波音公司 Method and device for generating diversion route and storage medium
CN112562419A (en) * 2020-11-03 2021-03-26 南京航空航天大学 Off-line multi-target tracking-based weather avoidance zone setting method
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CN112711816A (en) * 2021-03-26 2021-04-27 南京信息工程大学 Flight projectile trajectory correction method based on meteorological grid
CN113012478A (en) * 2021-02-23 2021-06-22 中国民用航空华东地区空中交通管理局 Rapid and simple method for changing sails in thunderstorm dangerous weather
CN113483773A (en) * 2021-06-11 2021-10-08 南京航空航天大学 Method for using air route in convection weather
CN113593306A (en) * 2021-08-13 2021-11-02 中国民航大学 Scattered-point thunderstorm dangerous weather re-voyage method based on safety
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1222983A (en) * 1996-06-07 1999-07-14 塞克斯丹航空电子公司 Method for controlling aerodyne for vertical avoidance of a zone
US20100057276A1 (en) * 2008-09-02 2010-03-04 Thales Method of Monitoring Atmospheric Areas for an Aircraft
CN104406580A (en) * 2014-11-21 2015-03-11 北京科航军威科技有限公司 Navigation method, device and system for general aviation aircraft
CN104991895A (en) * 2015-05-15 2015-10-21 南京航空航天大学 Low-altitude rescue aircraft route planning method based on three dimensional airspace grids
WO2016116725A1 (en) * 2015-01-20 2016-07-28 Bae Systems Plc Cloud feature detection

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1222983A (en) * 1996-06-07 1999-07-14 塞克斯丹航空电子公司 Method for controlling aerodyne for vertical avoidance of a zone
US20100057276A1 (en) * 2008-09-02 2010-03-04 Thales Method of Monitoring Atmospheric Areas for an Aircraft
CN104406580A (en) * 2014-11-21 2015-03-11 北京科航军威科技有限公司 Navigation method, device and system for general aviation aircraft
WO2016116725A1 (en) * 2015-01-20 2016-07-28 Bae Systems Plc Cloud feature detection
CN104991895A (en) * 2015-05-15 2015-10-21 南京航空航天大学 Low-altitude rescue aircraft route planning method based on three dimensional airspace grids

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
D.A.RHODA,ETC.: "An Assessment of Thunderstorm Penetrations and Deviations by Commercial Aircraft in the Terminal Area", 《DECISION SUPPORT SYSTEMS》 *
王莉莉等: "突发天气条件下航空器改变高度的改航模型和算法研究", 《中国安全科学学报》 *
蒋昕等: "基于飞行受限区域划设的航班改航研究", 《华东交通大学学报》 *

Cited By (37)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107194493A (en) * 2017-04-14 2017-09-22 南京航空航天大学 The air traffic of terminal spatial domain is delayed Forecasting Methodology under the influence of a kind of Short-term Weather
CN107194493B (en) * 2017-04-14 2020-07-07 南京航空航天大学 Terminal airspace air traffic delay prediction method under short-term weather influence
CN107153177A (en) * 2017-06-28 2017-09-12 中国航空工业集团公司雷华电子技术研究所 A kind of verification method of airborne weather radar rainfall result of detection
CN107153177B (en) * 2017-06-28 2021-02-19 中国航空工业集团公司雷华电子技术研究所 Method for verifying rainfall detection result of airborne weather radar
CN107560614A (en) * 2017-08-04 2018-01-09 北京小米移动软件有限公司 Route planning method and device
CN107560614B (en) * 2017-08-04 2020-02-07 北京小米移动软件有限公司 Route planning method and device
CN107830864A (en) * 2017-11-01 2018-03-23 飞友科技有限公司 A kind of aircarrier aircraft bad weather is diversion route planning system and method
CN108151746A (en) * 2017-12-27 2018-06-12 中国人民解放军国防科技大学 Improved label real-time airway re-planning method based on multi-resolution situation mapping
CN108871371A (en) * 2018-04-08 2018-11-23 广东容祺智能科技有限公司 A kind of UAV Navigation System
CN109376895A (en) * 2018-08-28 2019-02-22 中国电子科技集团公司第二十八研究所 Civil aviaton's flow management policy development method and system based on real time radar reflectogram
CN109215399A (en) * 2018-11-07 2019-01-15 中国电子科技集团公司第二十八研究所 A kind of termination environment intelligence stream interface driver generation method
CN109978286A (en) * 2019-05-07 2019-07-05 中国民用航空飞行学院 It is a kind of to be diversion thunderstorm Route planner based on the more aircrafts for improving ant group algorithm
CN112083734B (en) * 2019-06-12 2024-03-05 中国民航大学 Method for planning integrated flight path by utilizing probabilistic weather forecast
CN112083734A (en) * 2019-06-12 2020-12-15 中国民航大学 Collective flight path planning method using probabilistic weather forecast
CN112102650B (en) * 2019-06-18 2024-04-05 波音公司 Navigation route changing generation method, device and storage medium
CN112102650A (en) * 2019-06-18 2020-12-18 波音公司 Method and device for generating diversion route and storage medium
CN110531360A (en) * 2019-08-28 2019-12-03 中船重工鹏力(南京)大气海洋信息系统有限公司 A kind of X-band weather radar networking data processing method
CN111338366A (en) * 2020-02-26 2020-06-26 酷黑科技(北京)有限公司 Flight route determination method and flight auxiliary system
CN111508279A (en) * 2020-03-18 2020-08-07 南京航空航天大学 Method for marking weather avoidance field
CN111680840A (en) * 2020-06-09 2020-09-18 大蓝洞(南京)科技有限公司 Flight re-navigation method around dangerous weather
CN111680840B (en) * 2020-06-09 2023-12-29 大蓝洞(南京)科技有限公司 Flight diversion method around flying dangerous weather
CN111780766A (en) * 2020-07-07 2020-10-16 中国民航大学 Dynamic diversion planning method integrating dynamic risk graph and improved A-algorithm
CN111780766B (en) * 2020-07-07 2023-10-31 中国民航大学 Dynamic navigation-changing planning method integrating dynamic risk graph and improved A-algorithm
CN112562419B (en) * 2020-11-03 2022-04-08 南京航空航天大学 Off-line multi-target tracking-based weather avoidance zone setting method
CN112562419A (en) * 2020-11-03 2021-03-26 南京航空航天大学 Off-line multi-target tracking-based weather avoidance zone setting method
CN113012478A (en) * 2021-02-23 2021-06-22 中国民用航空华东地区空中交通管理局 Rapid and simple method for changing sails in thunderstorm dangerous weather
CN113012478B (en) * 2021-02-23 2022-02-11 中国民用航空华东地区空中交通管理局 Rapid and simple method for changing sails in thunderstorm dangerous weather
CN112698666B (en) * 2021-03-24 2021-07-06 南京信息工程大学 Aircraft route optimization method based on meteorological grid
CN112698666A (en) * 2021-03-24 2021-04-23 南京信息工程大学 Aircraft route optimization method based on meteorological grid
CN112711816B (en) * 2021-03-26 2021-06-29 南京信息工程大学 Flight projectile trajectory correction method based on meteorological grid
CN112711816A (en) * 2021-03-26 2021-04-27 南京信息工程大学 Flight projectile trajectory correction method based on meteorological grid
CN113483773A (en) * 2021-06-11 2021-10-08 南京航空航天大学 Method for using air route in convection weather
CN113483773B (en) * 2021-06-11 2024-02-13 南京航空航天大学 Method for using route under convection weather
CN113593306A (en) * 2021-08-13 2021-11-02 中国民航大学 Scattered-point thunderstorm dangerous weather re-voyage method based on safety
WO2023015864A1 (en) * 2021-08-13 2023-02-16 中国民航大学 Safety-based course changing method in scattered thunderstorm dangerous weather
CN115792918A (en) * 2022-12-07 2023-03-14 中国民用航空飞行学院 Method for identifying aviation convection risk area based on multi-source data fusion batching method
CN115792918B (en) * 2022-12-07 2023-09-05 中国民用航空飞行学院 Method for identifying aviation convection risk area by batching method based on multi-source data fusion

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