CN103455715A - Linear-interpolation-based cloud image profile projection method - Google Patents

Linear-interpolation-based cloud image profile projection method Download PDF

Info

Publication number
CN103455715A
CN103455715A CN2013103713858A CN201310371385A CN103455715A CN 103455715 A CN103455715 A CN 103455715A CN 2013103713858 A CN2013103713858 A CN 2013103713858A CN 201310371385 A CN201310371385 A CN 201310371385A CN 103455715 A CN103455715 A CN 103455715A
Authority
CN
China
Prior art keywords
height
data
matrix
linear interpolation
layer
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN2013103713858A
Other languages
Chinese (zh)
Other versions
CN103455715B (en
Inventor
张佳静
白红利
丁立平
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing LES Information Technology Co. Ltd
Original Assignee
Nanjing LES Information Technology Co. Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing LES Information Technology Co. Ltd filed Critical Nanjing LES Information Technology Co. Ltd
Priority to CN201310371385.8A priority Critical patent/CN103455715B/en
Priority claimed from CN201310371385.8A external-priority patent/CN103455715B/en
Publication of CN103455715A publication Critical patent/CN103455715A/en
Application granted granted Critical
Publication of CN103455715B publication Critical patent/CN103455715B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Abstract

The invention discloses a linear-interpolation-based cloud image profile projection method. The method comprises the following steps of performing east-west and south-north projection on an echo data matrix of each flight level in a matrix trace extraction way to obtain a matrix; performing linear interpolation on each column to obtain a continuous profile projection pixel map. The method is mainly used for an automatic air traffic control system for an airport, and the meteorological data of a weather radar and an air traffic situation are fused for display.

Description

A kind of weather nephogram section projecting method based on linear interpolation
Technical field
The present invention relates to the weather radar data for communication processing technology field, especially a kind of weather radar that utilizes is realized weather nephogram section projecting method.
Background technology
In the process of traffic control aloft, weather conditions be one important in element.Aircraft accident and delayed one of the main reasons are exactly that the flight of getting off the plane at some bad weather condition is restricted.Although voyage aid of the airport facility and aeroplane performance are more and more advanced, disadvantageous meteorological condition reduces to some extent to the restrictive function of flight, but the airport in certain weather conditions and climatic environment and air route, the passenger that the weather effect of unfavorable flight causes is detained, the flight large tracts of land is incured loss through delay, along with the not obviously minimizing of increase of flight amount.
Cloud is modal a kind of meteorologic factor that affects flight, and it is the visible form be condensed into by airborne aqueous vapor, from cloud in shape, can be divided into cumulus and stratus.Cumulus is always upwardly extending from bottom, its bottom and powerful air-flow is arranged on every side, thereby be unsettled in these zone flights, and the top air-flow of cloud is stably.In cumulus, major part all contains rain.Endanger larger cumulonimbus, thunder cloud aircraft should away from, once aircraft enters, be subject to electric shock, make instrument malfunction, fuel tank explosion, or cause big bump, freeze, make disabledly, and aircraft accident occurs.The cloud of other types is mainly the visibility that affects the driver on the impact of flight, and the fog precipitation changed by cloud, thunderstorm, hail all can bring certain impact to flight safety.
Visibility in cloud is very poor, thereby be the important indicator of flight weather con dition to the coverage rate of an airport sky medium cloud, the coverage rate of sky medium cloud can be divided into 5 grades, the ratio of cloud on high is called fine lower than 1/10,1/10~1/2 is called the distribution cloud, 6/10~9/10 is called cloudyly, is called the moon more than 9/10.In the situation that cloudy, the height of cloud base is an important indicator, and the distance on the bottom of cloud and ground when it refers to the cloth cloud layer is determined the weather condition of flight with this.
Aircarrier aircraft is in flight course, by ground, circulate a notice of, or airborne weather radar is after the safe cloud layer of impact is found in the place ahead, air route, generally can take to change height, or suitably depart from former flight path and have mercy on and fly, avoid this danger cloud layer, but will be clear that, the air route that aircarrier aircraft aloft flies is to height, width, route has strict regulation, depart from this escape way, just likely exist and lose contact, get lost, the danger of bumping against with the barrier such as high mountain, thus, once still can't avoid this cloud layer in the situation that take corresponding measure in safe range, can only end former flight planning, make preparation for dropping other airports or make a return voyage, if meteorological department's look-ahead is during to air route weather effect flight safety and can't avoid the time, aircraft will be waited for after weather takes a turn for the better and carry out corresponding flight again on airport.
In the situation of this external the moon, even control-tower visibility is fine, near airfield runway top, landing passage, highly lower cloud layer also can directly affect aircraft landing, even causes socked-in.Highly lower cloud layer can make the pilot not see runway in the landing process, and aircraft descends through after low cloud layer, overhead too closely also being difficult to the fortuitous event that timely processing may occur, directly affects the safety of aircraft.
, must be examined cloud, in order to provide meteorologic information accurately for the pilot for this reason.Cloud is observed to be often referred to and observe cloud form, cloud amount and the cloud level, comprise the position, scope, intensity of cloud layer etc.
At present, the detection of cloud atlas is mainly contained to two kinds of approach, a kind of is by once or the Weather Channel of secondary air traffic control radar, and another kind is as Doppler radar by special weather radar.
Existing air traffic control automation system, normally gather, analyze once or MAX data that the Weather Channel conveying gas image information of secondary air traffic control radar forms cloud atlas are presented at the form of filled polygon the background map figure layer that situation shows, or show separately the cloud atlas state by special meteorological surveillance.
Existing air traffic control automation system, adopt the MAX data to show that cloud atlas can only provide a reference on the coverage rate of cloud, by this perspective view, can't obtain height of cloud base data.It has only provided the demonstration of cloud atlas horizontal level and cloud atlas grade, and the cloud atlas grade situation on each height layer that is beyond expression out.
Adopt meteorological surveillance to observe the cloud atlas situation, also have a lot of disadvantages in controller's routine work.Because cloud atlas and situation split screen show, during weather condition on checking air route, need on meteorological surveillance display interface, position by longitude and latitude, increased unnecessary workload.
Therefore, need a kind of new technical scheme to address the above problem.
Summary of the invention
The object of the invention is to provide a kind of weather nephogram section projecting method based on linear interpolation of observing intuitively convenient and being easy to realization.
For achieving the above object, the weather nephogram section projecting method that the present invention is based on linear interpolation can adopt following technical scheme:
A kind of weather nephogram section projecting method based on linear interpolation comprises the following steps:
(1), each height layer cloud atlas data acquisition: by processing the early stage to original radar data, obtain the cloud atlas level data of radar at a plurality of height layers, each height layer be take fixed value as vertical separation; Wherein, with the expression matrix of a PIX * PIX, go out the cloud atlas level data, the value of matrix element has represented the grade of cloud atlas, and setting parameter n represents n height layer of cloud atlas;
(2), each section projection of height layer cloud atlas data and integration: get each height layer matrix trace, diagonal element is arranged in order, obtain an one-dimension array that contains PIX lattice element.After respectively the data of each height layer being completed this and convert, by the height order, be arranged in order from high to low, obtain the matrix of a n * PIX;
(3), linear difference, form section projected pixel matrix: the mode that adopts linear interpolation is carried out linear interpolation to each row of n * PIX matrix, and the degree of accuracy needed is imported into by the form of static parameter INSERT; At first calculate and need between every two adjacent height layers, insert the data of several height layers, thereby obtain the change step of a height layer grade numerical value of every increase with reference to the value difference of these two height layers, carry out afterwards one time 0 circulation to INSERT, just the data of known each height layer in the n layer data between any two height layers, belong to which the insertion value between these two height layers, finally in conjunction with step-length, just can obtain the numerical value of this point; Also just obtain INSERT data after completing circulation, completed single-row linear interpolation, completed successively the linear interpolation of each row, just obtained the INSERT needed * PIX section projection matrix;
(4), by display module, export drawing.
With background technology, compare, the weather nephogram section projecting method that the present invention is based on linear interpolation has following advantage:
Demonstrated cloud atlas information by the mode of avatars more all sidedly, simple and clear.Not only comprised that cloud atlas coverage and grade show, also comprised the level data of each height layer simultaneously, can observe easily cloud in data such as the distribution situation of each height layer and Gao, cloud top, cloud base height.
Weather nephogram and air traffic control automation system air traffic situation are merged and shows, more convenient controller observes the weather condition of each flight in its whole air route, for controller's control decision-making provides reliable and effective meteorologic factor.Especially the deep or light grade of cloud atlas that facilitates the controller to observe each height layer on certain and specified point, provide foundation for implementing dispatch control.
Be somebody's turn to do the section projecting method based on linear interpolation, simple and be easy to realize, meeting under the prerequisite of air traffic control to the degree of accuracy requirement of cloud atlas information, just can obtain desirable result by minimum calculated amount and lower computation complexity, algorithm stability is better.
The accompanying drawing explanation
Fig. 1 is the process flow diagram that the present invention is based on the weather nephogram section projecting method of linear interpolation.
Embodiment
Below in conjunction with the drawings and specific embodiments, further illustrate the present invention, should understand these embodiment only is not used in and limits the scope of the invention for the present invention is described, after having read the present invention, those skilled in the art all fall within the application's claims limited range to the modification of the various equivalent form of values of the present invention.
The present invention discloses a kind of weather nephogram section projecting method based on linear interpolation, comprises the following steps:
(1), each height layer cloud atlas data acquisition: by processing the early stage to original radar data, obtain the cloud atlas level data of radar at a plurality of height layers, each height layer be take fixed value as vertical separation; Wherein, with the expression matrix of a PIX * PIX, go out the cloud atlas level data, the value of matrix element has represented the grade of cloud atlas, and setting parameter n represents n height layer of cloud atlas; In the present embodiment, described radar adopts radar Doppler.
(2), each section projection of height layer cloud atlas data and integration: get each height layer matrix trace, diagonal element is arranged in order, obtain an one-dimension array that contains PIX lattice element.After respectively the data of each height layer being completed this and convert, by the height order, be arranged in order from high to low, obtain the matrix of a n * PIX.
(3), linear difference, form section projected pixel matrix: the mode that adopts linear interpolation is carried out linear interpolation to each row of n * PIX matrix, and the degree of accuracy needed is imported into by the form of static parameter INSERT; At first calculate and need between every two adjacent height layers, insert the data of several height layers, thereby obtain the change step of a height layer grade numerical value of every increase with reference to the value difference of these two height layers, carry out afterwards one time 0 circulation to INSERT, just the data of known each height layer in the n layer data between any two height layers, belong to which the insertion value between these two height layers, finally in conjunction with step-length, just can obtain the numerical value of this point; Also just obtain INSERT data after completing circulation, completed single-row linear interpolation, completed successively the linear interpolation of each row, just obtained the INSERT needed * PIX section projection matrix.
(4), by display module, export drawing.Wherein, by the projection matrix writing in files obtained, send message informing air traffic control automation system client display module file reading profile drawing projected image when Data Update.

Claims (3)

1. the weather nephogram section projecting method based on linear interpolation, is characterized in that, comprises the following steps:
(1), each height layer cloud atlas data acquisition: by processing the early stage to original radar data, obtain the cloud atlas level data of radar at a plurality of height layers, each height layer be take fixed value as vertical separation; Wherein, with the expression matrix of a PIX * PIX, go out the cloud atlas level data, the value of matrix element has represented the grade of cloud atlas, and setting parameter n represents n height layer of cloud atlas;
(2), each section projection of height layer cloud atlas data and integration: get each height layer matrix trace, diagonal element is arranged in order, obtain an one-dimension array that contains PIX lattice element.After respectively the data of each height layer being completed this and convert, by the height order, be arranged in order from high to low, obtain the matrix of a n * PIX;
(3), linear difference, form section projected pixel matrix: the mode that adopts linear interpolation is carried out linear interpolation to each row of n * PIX matrix, and the degree of accuracy needed is imported into by the form of static parameter INSERT; At first calculate and need between every two adjacent height layers, insert the data of several height layers, thereby obtain the change step of a height layer grade numerical value of every increase with reference to the value difference of these two height layers, carry out afterwards one time 0 circulation to INSERT, just the data of known each height layer in the n layer data between any two height layers, belong to which the insertion value between these two height layers, finally in conjunction with step-length, just can obtain the numerical value of this point; Also just obtain INSERT data after completing circulation, completed single-row linear interpolation, completed successively the linear interpolation of each row, just obtained the INSERT needed * PIX section projection matrix;
(4), by display module, export drawing.
2. the weather nephogram section projecting method based on linear interpolation according to claim 1, it is characterized in that: in step (4), by the projection matrix writing in files obtained, send message informing air traffic control automation system client display module file reading profile drawing projected image when Data Update.
3. the weather nephogram section projecting method based on linear interpolation according to claim 1, is characterized in that: described radar employing radar Doppler.
CN201310371385.8A 2013-08-22 A kind of weather nephogram section projecting method based on linear interpolation Active CN103455715B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310371385.8A CN103455715B (en) 2013-08-22 A kind of weather nephogram section projecting method based on linear interpolation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310371385.8A CN103455715B (en) 2013-08-22 A kind of weather nephogram section projecting method based on linear interpolation

Publications (2)

Publication Number Publication Date
CN103455715A true CN103455715A (en) 2013-12-18
CN103455715B CN103455715B (en) 2016-11-30

Family

ID=

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108470319A (en) * 2018-01-31 2018-08-31 天津大学 Method based on convergence face three-dimensional reconstruction estimation Your Majesty liter/down draft speed
CN110288856A (en) * 2019-06-21 2019-09-27 中国民用航空总局第二研究所 The Scheduled Flight monitoring system and method for fine forecast based on wind
CN110764090A (en) * 2019-10-22 2020-02-07 上海眼控科技股份有限公司 Image processing method, image processing device, computer equipment and readable storage medium
CN111759216A (en) * 2020-03-19 2020-10-13 广东蓝水花智能电子有限公司 Automatic door opening and closing control 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
CN114842678A (en) * 2022-03-28 2022-08-02 中国民用航空中南地区空中交通管理局广西分局 Similar daily measurement system for civil aviation control operation site

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002025248A1 (en) * 2000-09-22 2002-03-28 Yankee Environmental Systems, Inc. Optical fiber ceilometer for meteorological cloud altitude sensing
CN1945353A (en) * 2006-10-26 2007-04-11 国家卫星气象中心 Method for processing meteorological satellite remote sensing cloud chart
CN101419287A (en) * 2008-12-08 2009-04-29 中国海洋大学 Real time acquiring method for sea fog thickness and height of low cloud base
CN101566692A (en) * 2009-05-26 2009-10-28 吉林大学 Method for detecting cloud height by utilizing cloud shadow information in satellite remote sensing data
CN102129566A (en) * 2011-03-09 2011-07-20 国家卫星气象中心 Method for identifying rainstorm cloud cluster based on stationary meteorological satellite
CN103035001A (en) * 2012-12-06 2013-04-10 中国科学院自动化研究所 Foundation automatic cloud detection method based on superpixel division
CN103246793A (en) * 2013-06-01 2013-08-14 哈尔滨工业大学 Method for drawing tire grounding cloud picture based on ABAQUS analysis result

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002025248A1 (en) * 2000-09-22 2002-03-28 Yankee Environmental Systems, Inc. Optical fiber ceilometer for meteorological cloud altitude sensing
CN1945353A (en) * 2006-10-26 2007-04-11 国家卫星气象中心 Method for processing meteorological satellite remote sensing cloud chart
CN101419287A (en) * 2008-12-08 2009-04-29 中国海洋大学 Real time acquiring method for sea fog thickness and height of low cloud base
CN101566692A (en) * 2009-05-26 2009-10-28 吉林大学 Method for detecting cloud height by utilizing cloud shadow information in satellite remote sensing data
CN102129566A (en) * 2011-03-09 2011-07-20 国家卫星气象中心 Method for identifying rainstorm cloud cluster based on stationary meteorological satellite
CN103035001A (en) * 2012-12-06 2013-04-10 中国科学院自动化研究所 Foundation automatic cloud detection method based on superpixel division
CN103246793A (en) * 2013-06-01 2013-08-14 哈尔滨工业大学 Method for drawing tire grounding cloud picture based on ABAQUS analysis result

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
REN-SHENG CHEN,ET AL.,: "A distributed water-heat coupled model for moutainous watershed of an inland river basin in Northwest China(II) using meteorological and hydrological data", 《ENVIRON GEOL》, vol. 55, 8 August 2007 (2007-08-08), pages 17 - 28, XP019623951 *
ZHOU HOUFU, ET AL.,: "Realization and Application of Aero Hazard weather Forecast Algorithm", 《ICISE2009》, 31 December 2009 (2009-12-31), pages 5014 - 5016, XP031662472 *
杨俊等: "基于局部阈值插值的地基云自动检测方法", 《气象学报》, vol. 68, no. 6, 31 December 2010 (2010-12-31), pages 1007 - 1017 *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108470319A (en) * 2018-01-31 2018-08-31 天津大学 Method based on convergence face three-dimensional reconstruction estimation Your Majesty liter/down draft speed
CN108470319B (en) * 2018-01-31 2021-11-12 天津大学 Method for estimating main ascending/descending airflow speed based on convergence surface three-dimensional reconstruction
CN110288856A (en) * 2019-06-21 2019-09-27 中国民用航空总局第二研究所 The Scheduled Flight monitoring system and method for fine forecast based on wind
CN110764090A (en) * 2019-10-22 2020-02-07 上海眼控科技股份有限公司 Image processing method, image processing device, computer equipment and readable storage medium
CN111759216A (en) * 2020-03-19 2020-10-13 广东蓝水花智能电子有限公司 Automatic door opening and closing control 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
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
CN114842678A (en) * 2022-03-28 2022-08-02 中国民用航空中南地区空中交通管理局广西分局 Similar daily measurement system for civil aviation control operation site
CN114842678B (en) * 2022-03-28 2024-04-26 中国民用航空中南地区空中交通管理局广西分局 Civil aviation control operation site similarity daily measurement system

Similar Documents

Publication Publication Date Title
US10241203B2 (en) Weather radar integrating system combining ground-based and aircraft-based weather radar data
CN103294062B (en) Method for driving aircraft along flight path
US10365365B2 (en) Enhanced weather radar mapping
JP5451881B2 (en) Extraction of air traffic flow for display to pilots
US20220189325A1 (en) Autonomous path planning
US10388171B2 (en) Cockpit display systems and methods for generating cockpit displays including direct approach energy management symbology
US20140207365A1 (en) Methods for determining a flight path
US20140032103A1 (en) Method of displaying a flight plan
JP5255857B2 (en) Turbulence prediction system and turbulence prediction method
CN102859569A (en) Determining landing sites for aircraft
US20120232725A1 (en) Method For Optimizing Aircraft Landing On A Runway
CN109215399B (en) Intelligent flow control strategy generation method for terminal area
CN104615849A (en) Flight plan evaluating system and implementation method applicable for general aviation
CN104406580A (en) Navigation method, device and system for general aviation aircraft
CN104991565A (en) Parachute fixed-wing unmanned aerial vehicle autonomous fixed-point recovery method
JP5276348B2 (en) Aircraft information transmission / reception system
Schilke et al. Dynamic route optimization based on adverse weather data
CN111066074B (en) Aeronautical weather control system
EP4170385A1 (en) Weather radar short-term forecast for in-flight cockpit displays
EP2704126A2 (en) Methods for determining suitable waypoint locations
CN103455715A (en) Linear-interpolation-based cloud image profile projection method
CN103455715B (en) A kind of weather nephogram section projecting method based on linear interpolation
KR20210117761A (en) System and method of designning fligh path for cloud seeding experiment
Sauer On the impact of adverse weather uncertainty on aircraft routing: identification and mitigation
CN111081074A (en) Flight safety early warning system

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant