CN104808679B - General Aviation AIP file intelligent Matching methods based on Flight Trajectory Prediction - Google Patents
General Aviation AIP file intelligent Matching methods based on Flight Trajectory Prediction Download PDFInfo
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- CN104808679B CN104808679B CN201510089009.9A CN201510089009A CN104808679B CN 104808679 B CN104808679 B CN 104808679B CN 201510089009 A CN201510089009 A CN 201510089009A CN 104808679 B CN104808679 B CN 104808679B
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Abstract
A kind of General Aviation AIP file intelligent Matching methods based on Flight Trajectory Prediction.Its mapping relations and generation XML configuration file for including setting up navigational information assembling file and geography information；Record flight path information；The movement tendency of aircraft is predicted based on polynomial prediction method；Screening POI points of interest；Reversely search the steps such as navigational information assembling file.The General Aviation AIP file intelligent Matching methods based on Flight Trajectory Prediction that the present invention is provided have advantages below：1. the mapping relations of navigational information assembling file and geography information are established, the brand-new file hierarchy being easily managed is formd.2. the Forecasting Methodology of flight path is employed, the intelligent Matching of file is realized, solves the problems, such as that traditional ff is difficult.3. computing is simple, highly reliable.4. more convenient, intelligent, three-dimensional navigational intelligence service can be provided.
Description
Technical field
The invention belongs to blank pipe technical field of automation, more particularly to a kind of General Aviation based on Flight Trajectory Prediction
AIP (Aeronautial Information Publication, navigational information compilation) file intelligent Matching method.
Background technology
General Aviation refers to that the Civil Aviation Activities beyond public air transport, events in operation are engaged in using civil aircraft
Cover agriculture, woods, herd, fishing, industry, building, scientific research, traffic, multiple industries such as amusement.The particular content of General Aviation covers ten thousand
As, with maneuverability, rapidly and efficiently the features such as, in the last few years, with the development of civil aviaton of China cause and opening for low altitude airspace
Put, the industry size of General Aviation expands day by day, flight demand is gradually vigorous, therefore with very big market prospects.
Navigational intelligence service is the important component in operational service.Accurately and timely navigational intelligence is provided to unit
Service is the basis of safe flight.General Aviation operation has very strong flexibility, and airborne equipment is relatively easy, therefore, logical
It is very high with being required navigational intelligence service convenience, ease for use in aviation.Navigational intelligence service include to pilot provide chart,
Navigational information collects and informs the multinomial content such as notice to navigator.Chart and navigational information assembling file refer to need in flight course
Using files such as regulations handbook, airport and the en-route datas for arriving, quantity is big, and content is numerous and diverse.Traditional navigational information ways of distribution
It is to provide a large amount of papery version files to unit, uses extremely inconvenience, therefore be unsuitable for General Aviation.
At present, there are many manufacturers have developed both at home and abroad and used the EFB in intelligent movable equipment
(Electronic Flight Bag system, EFB), the EFB is by chart and navigational information assembling file electronics
Change, improve the convenience for using.But Railway Project is there is also simultaneously, and such as these manufacturers are generally planemaker, such as Boeing, sky
Visitor etc., with very strong monopoly, therefore, equipment price is high, and maintenance cost is huge.Due to General Aviation operating cost compared with
It is low, thus do not possess the condition for being equipped with EFB extensively.In addition, EFB is not carried out further to navigational information file
Treatment, still needing to be browsed by file from level to level can just find the file for in-flight needing.
In view of the foregoing, General Aviation is badly in need of a kind of intellectual search method of electronics navigational information assembling file to solve
Certainly complicated ground ff problem in traditional approach and existing EFB, so as to ensure the flight safety of General Aviation.
The content of the invention
In order to solve the above problems, it is easily managed it is an object of the invention to provide one kind, realizes intelligent of file
Match somebody with somebody, broken away from traditional heap file and searched difficult problem, using the teaching of the invention it is possible to provide the navigational intelligence service of intelligent three-dimensional based on flying
The General Aviation AIP file intelligent Matching methods of row trajectory predictions.
In order to achieve the above object, intelligent of the General Aviation AIP files based on Flight Trajectory Prediction that the present invention is provided
Method of completing the square includes the following steps for carrying out in order：
Step (1) sets up navigational information assembling file with the mapping relations of geography information and the S01 of generation XML configuration file
Stage：It is according to letter including the catalogue including course line, guidance station, Aerial Ports File in initial navigational information assembling file
It is tactic, these files, and self-defined two XML configuration files are arranged successively to describe navigational information assembling file with ground
Mapping relations between reason information；
Step (2) records the S02 stages of flight path information：In flight course, current newest 5 of aircraft real time record
Track points information, including speed, longitude and latitude, deflection, and store that data in local database；
The S03 stages that step (3) is predicted based on polynomial prediction method to the movement tendency of aircraft：If ti(i=
1,2,3 ..., n) moment target direction angle s (ti) can be represented with one group of orthogonal polynomial function of time, further according to ti(i=1,2,
3 ..., n) the measured value x at moment target direction angleiUsing least square method to coefficient ajLeast-squares estimation is carried out to obtainMost
Afterwards according to coefficientTo (tn+ dt) moment target direction angle is predicted；
Step (4) screens the S04 stages of POI points of interest：Target direction angle according to prediction defines a deflection nargin
θ, the geography information in traversal XML configuration file, using the mapping relations between geography information and navigational information assembling file, will
These points with navigational information assembling file attribute are defined as POI points of interest, afterwards the latitude and longitude coordinates meter according to aircraft
The declinate α between POI points of interest and the target direction angle of prediction is calculated, and whether judges declinate α less than deflection nargin θ, if
Declinate α then continues to calculate the distance between the POI points of interest and aircraft within deflection nargin θ, and the minimum point of distance is just
It is matching degree highest point；
Step (5) reversely searches the S05 stages of navigational information assembling file：Navigated by water by parsing XML configuration file
Mapping relations between data compilation file and geography information, i.e., can be reverse according to the geography information of the POI points of interest of matching
Corresponding navigational information assembling file is found, so as to realize the intelligent Matching of navigational information assembling file.
In step (3), the described method being predicted to the movement tendency of aircraft based on polynomial prediction method
Including the following steps for performing in order：
1) t is seti(i=1,2,3 ..., n) moment target direction angle s (ti) an orthogonal polynomial function of time table can be used
Show, wherein ti=iT, T are the sampling interval of track：
2) according to ti(i=1,2,3 ..., n) the measured value x at moment target direction angleiUsing least square method to coefficient aj
Least-squares estimation is carried out, can be solved by following formula：
A=(PT·P)-1PTX (2)
In formula：
Therefore the optimal estimation of target direction angle s (t) is：
Thus can be using formula (3) to (tn+ dt) the target direction angle at moment is predicted, i.e.,：
In above-mentioned formula, n=5, n represents historical track sampled point, xiIt is 5 prescriptions of database output in the S02 stages
To angular data, the deflection of t is exactlyThen the polynomial function at target direction angle is：
Recycle 5 newest prescriptions to angular data, coefficient a is determined using formula (2)iLeast-squares estimationSo
Just being capable of basisTo tnThe movement locus at moment is predicted, i.e.,：
In step (4), the method for described screening POI points of interest includes the following steps for performing in order：
1) the target direction angle according to prediction defines a deflection nargin θ, and direction angle nargin θ must be at 0 ° -180 °
Between, according to the motor-driven parameter of navigation aircraft, deflection nargin θ is typically taken as 60 °；
2) XML configuration file is parsed, navigational information assembling file and geography information is obtained, is had according to geographical information definition
The POI points of interest of navigational information assembling file attribute；
3) latitude and longitude coordinates (x according to aircraft0,y0), the latitude and longitude coordinates (x of POI points of interest1,y1), and prediction
Target direction angle φ calculate declinate α between POI points of interest and the target direction angle of prediction, specific formula is as follows：
4) whether declinate α is judged less than deflection nargin θ, if declinate calculates the POI within deflection nargin θ
Then these POI points of interest are ranked up by the distance between point of interest and aircraft by distance, and the minimum point of distance is exactly
With degree highest point.
The General Aviation AIP file intelligent Matching methods based on Flight Trajectory Prediction that the present invention is provided have following excellent
Point：1. the mapping relations of navigational information assembling file and geography information are established, the brand-new file layers being easily managed are formd
It is secondary.2. the Forecasting Methodology of flight path is employed, the intelligent Matching of file is realized, traditional ff difficulty is solved
Problem.3. computing is simple, highly reliable.4. more convenient, intelligent, three-dimensional navigational intelligence service can be provided.
Brief description of the drawings
The General Aviation AIP file intelligent Matching method flow diagrams based on Flight Trajectory Prediction that Fig. 1 is provided for the present invention.
Fig. 2 is the method flow being predicted to the movement tendency of aircraft based on polynomial prediction method in the present invention
Figure.
Fig. 3 is the method flow diagram of screening POI points of interest in the present invention.
Fig. 4 is the schematic diagram that target direction angle in the present invention according to prediction defines deflection nargin θ.
Specific embodiment
The General Aviation AIP files based on Flight Trajectory Prediction for being provided the present invention with instantiation below in conjunction with the accompanying drawings
Intelligent Matching method is described in detail.
As shown in figure 1, the General Aviation AIP file intelligent Matching method bags based on Flight Trajectory Prediction that the present invention is provided
Include the following steps for performing in order：
Step (1) sets up navigational information assembling file with the mapping relations of geography information and the S01 of generation XML configuration file
Stage：It is according to letter including the catalogue including course line, guidance station, Aerial Ports File in initial navigational information assembling file
It is tactic, arrange these files successively, and self-defined two XML (Extensible Markup Language, it is expansible
Markup language) configuration file describes the mapping relations between navigational information assembling file and geography information；
Step (2) records the S02 stages of flight path information：In flight course, current newest 5 of aircraft real time record
Track points information, including speed, longitude and latitude, deflection etc., and stores that data in local database；
The S03 stages that step (3) is predicted based on polynomial prediction method to the movement tendency of aircraft：If ti(i=
1,2,3 ..., n) moment target direction angle s (ti) can be represented with one group of orthogonal polynomial function of time, further according to ti(i=1,2,
3 ..., n) the measured value x at moment target direction angleiUsing least square method to coefficient ajLeast-squares estimation is carried out to obtainMost
Basis afterwardsTo (tn+ dt) moment target direction angle is predicted；
As shown in Fig. 2 the described method bag being predicted to the movement tendency of aircraft based on polynomial prediction method
Include the following steps for performing in order：
1) t is seti(i=1,2,3 ..., n) moment target direction angle s (ti) an orthogonal polynomial function of time table can be used
Show, wherein ti=iT, T are the sampling interval of track：
2) according to ti(i=1,2,3 ..., n) the measured value x at moment target direction angleiUsing least square method to coefficient aj
Least-squares estimation is carried out, can be solved by following formula：
A=(PT·P)-1PTX (2)
In formula：
Therefore the optimal estimation of target direction angle s (t) is：
Thus can be using formula (3) to (tn+ dt) the target direction angle at moment is predicted, i.e.,：
In above-mentioned formula, n=5 (n represents historical track sampled point), xiIt is 5 prescriptions of database output in the S02 stages
To angular data, the deflection of t is exactlyThen the polynomial function at target direction angle is：
Recycle 5 newest prescriptions to angular data, coefficient a is determined using formula (2)iLeast-squares estimationThus
Being capable of basisTo tnThe movement locus at moment is predicted, i.e.,：
Step (4) screens the S04 stages of POI points of interest：Target direction angle according to prediction defines a deflection nargin
θ, the geography information in traversal XML configuration file, using the mapping relations between geography information and navigational information assembling file, will
These points with navigational information assembling file attribute are defined as POI points of interest, are calculated according to aircraft latitude and longitude coordinates afterwards
Declinate α between POI points of interest and the target direction angle of prediction, and whether declinate α is judged less than deflection nargin θ, if poor
Angle α then continues to calculate the distance between the POI points of interest and aircraft within deflection nargin θ, and the minimum point of distance is exactly
Matching degree highest point；
As shown in figure 3, the method for described screening POI points of interest includes the following steps for performing in order：
1) as shown in figure 4, the target direction angle according to prediction defines a deflection nargin θ, nargin θ is necessary at direction angle
Between 0 ° -180 °, and can not be excessive or too small, the effect of screening POI points of interest is otherwise just lost, according to navigation aircraft
Motor-driven parameter, is typically taken as 60 ° by deflection nargin θ；
2) XML configuration file is parsed, navigational information assembling file and geography information is obtained, is had according to geographical information definition
The POI points of interest of navigational information assembling file attribute；
3) latitude and longitude coordinates (x according to oneself aircraft0,y0), the latitude and longitude coordinates (x of POI points of interest1,y1), and
The target direction angle φ of prediction calculates the declinate α between POI points of interest and the target direction angle of prediction, and specific formula is as follows：
4) whether declinate α is judged less than deflection nargin θ, if declinate calculates the POI within deflection nargin θ
Then these POI points of interest are ranked up by the distance between point of interest and aircraft by distance, and the minimum point of distance is exactly
With degree highest point.
Step (5) reversely searches the S05 stages of navigational information assembling file：Navigated by water by parsing XML configuration file
Mapping relations between data compilation file and geography information, i.e., can be reverse according to the geography information of the POI points of interest of matching
Corresponding navigational information assembling file is found, so as to realize the intelligent Matching of navigational information assembling file.
Claims (3)
1. a kind of General Aviation AIP file intelligent Matching methods based on Flight Trajectory Prediction, it is characterised in that：It is included by suitable
The following steps that sequence is performed：
Step (1) sets up navigational information assembling file with the mapping relations of geography information and the S01 ranks of generation XML configuration file
Section：It is suitable according to letter including the catalogue including course line, guidance station, Aerial Ports File in initial navigational information assembling file
Sequence arrangement, these files, and self-defined two XML configuration files are arranged successively to describe navigational information assembling file with geography
Mapping relations between information；
Step (2) records the S02 stages of flight path information：In flight course, the current 5 newest flight paths of aircraft real time record
Point information, including speed, longitude and latitude, deflection, and store that data in local database；
The S03 stages that step (3) is predicted based on polynomial prediction method to the movement tendency of aircraft：If ti, i=1,2,
3 ..., n, moment target direction angle s (ti) can be represented with one group of orthogonal polynomial function of time, further according to ti, i=1,2,3 ...,
N, the measured value x at moment target direction angleiUsing least square method to coefficient ajLeast-squares estimation is carried out to obtainLast root
According to coefficientTo (tn+ dt) moment target direction angle is predicted；
Step (4) screens the S04 stages of POI points of interest：Target direction angle according to prediction defines a deflection nargin θ, time
The geography information gone through in XML configuration file, using the mapping relations between geography information and navigational information assembling file, by these
Point with navigational information assembling file attribute is defined as POI points of interest, and the latitude and longitude coordinates according to aircraft calculate POI afterwards
Declinate α between point of interest and the target direction angle of prediction, and whether declinate α is judged less than deflection nargin θ, if declinate α
Then continue to calculate the distance between the POI points of interest and aircraft within deflection nargin θ, the minimum point of distance is exactly to match
Degree highest point；
Step (5) reversely searches the S05 stages of navigational information assembling file：Navigational information is obtained by parsing XML configuration file
Mapping relations between assembling file and geography information, i.e., can reversely search according to the geography information of the POI points of interest of matching
To corresponding navigational information assembling file, so as to realize the intelligent Matching of navigational information assembling file.
2. the General Aviation AIP file intelligent Matching methods based on Flight Trajectory Prediction according to claim 1, its feature
It is：In step (3), described is included based on polynomial prediction method to the method that the movement tendency of aircraft is predicted
The following steps for performing in order：
1) t is seti, i=1,2,3 ..., n, moment target direction angle s (ti) can be represented with an orthogonal polynomial function of time, its
Middle ti=iT, T are the sampling interval of track：
2) according to ti, i=1,2,3 ..., n, the measured value x at moment target direction angleiUsing least square method to coefficient ajCarry out
Least-squares estimation, can be solved by following formula：
A=(PT·P)-1PTX (2)
In formula：
Therefore target direction angle s (ti) optimal estimation be：
Thus can be using formula (3) to (tn+ dt) the target direction angle at moment is predicted, i.e.,：
In above-mentioned formula, n=5, n represents historical track sampled point, xiIt is 5 groups of deflection numbers of database output in the S02 stages
According to the deflection of t is exactlyThen the polynomial function at target direction angle is：
Recycle 5 newest prescriptions to angular data, coefficient a is determined using formula (2)iLeast-squares estimationThis makes it possible to
According toTo tnThe target direction angle at moment is predicted, i.e.,：
。
3. the General Aviation AIP file intelligent Matching methods based on Flight Trajectory Prediction according to claim 1, its feature
It is：In step (4), the method for described screening POI points of interest includes the following steps for performing in order：
1) the target direction angle according to prediction defines a deflection nargin θ, direction angle nargin θ must between 0 ° -180 °,
According to the motor-driven parameter of navigation aircraft, deflection nargin θ is taken as 60 °；
2) XML configuration file is parsed, navigational information assembling file and geography information is obtained, navigation is had according to geographical information definition
The POI points of interest of data compilation file attribute；
3) latitude and longitude coordinates (x according to aircraft0,y0), the latitude and longitude coordinates (x of POI points of interest1,y1), and the target predicted
DeflectionThe declinate α between POI points of interest and the target direction angle of prediction is calculated, specific formula is as follows：
4) judge that whether declinate α, less than deflection nargin θ, if declinate is within deflection nargin θ, calculates the POI interest
Then these POI points of interest are ranked up by the distance between point and aircraft by distance, and the minimum point of distance is exactly matching degree
Highest point.
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Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106529705A (en) * | 2016-10-25 | 2017-03-22 | 合肥飞友网络科技有限公司 | Low-frequency latitude and longitude data supplement optimization flight locus method |
| CN106933246B (en) * | 2017-03-29 | 2020-04-14 | 厦门大学 | Multi-unmanned aerial vehicle complex task planning method |
| CN108663683B (en) * | 2017-04-01 | 2020-07-14 | 湖北华中光电科技有限公司 | Distance wave gate algorithm |
| CN112286049A (en) * | 2019-07-27 | 2021-01-29 | 华为技术有限公司 | Motion trajectory prediction method and device |
| CN110608737B (en) * | 2019-09-16 | 2023-03-10 | 中国民航大学 | Land-based radio navigation station selection method based on total system error estimation |
| CN112911497B (en) * | 2019-12-02 | 2022-03-29 | 南京航空航天大学 | Real-time prediction method and system for track of cooperative unmanned aerial vehicle |
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