CN107610531A - Flight based on 4D flight paths and Route reform empirical data crosses a moment predictor method - Google Patents
Flight based on 4D flight paths and Route reform empirical data crosses a moment predictor method Download PDFInfo
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Abstract
The present invention provides a kind of flight based on 4D flight paths and Route reform empirical data and crosses a moment predictor method, comprises the following steps：Step S1, the plan air route information of flight is obtained, the plan air route information includes each way point of the estimated flight of flight；Step S2, obtain flight and spend the point moment by a upper way point, be designated as Ti；Step S3, search history time of flight data of the flight from a upper way point to next target waypoint；Step S4, experience flight time t of the flight from a upper way point to next target waypoint is obtained according to the history time of flight dataI~i+1：Ti+1=Ti+tI~i+1.The present invention can accurately calculate the point moment, and the difference of some time intervals was estimated between reduction flight, effectively utilizes the time, improve clearance efficiency, the clearance flight as much as possible in flight restricted time section, dredge air route congestion.
Description
Technical field
The present invention relates to technical field of aerospace, more particularly to a kind of flight based on 4D flight paths and Route reform empirical data
Cross some moment predictor methods.
Background technology
With the sustained and rapid development of AIRLINE ＆ AIRPORT, air traffic growth is swift and violent, airport, spatial domain and airline network
The crowding phenomenon of network node is serious, and air route congestion, flight tardy problem protrude, it has also become the hot issue of social extensive concern.
Traditional point moment predictor method of crossing calculates flight from upper one based on type classification, using Aerodynamics Model
Then individual way point obtains to the theoretical flight time of next way point according to flight by the point moment that crosses of a upper way point
The point moment is spent to next way point, the theoretical flight time for the point-to-point transmission that this method calculates only considers the boat of standard state
Class's flight progress.And in fact, different airlines in order to save energy consumption, increase the benefit, save fuel oil, in different time sections
Handling capacity of passengers (loading capacity) and fuel oil carrying amount be different, therefore existing method is in the situation of same model difference airline
Under, it is not accurate enough to cross the calculating of point moment.In order that estimation is reported as precisely as possible, conventional method needs artificial frequent maintenance data (such as
Airborne vehicle load-carrying etc.), poor in timeliness, actual motion demand can not be met.
The content of the invention
For above-mentioned the deficiencies in the prior art, passed through it is an object of the invention to provide one kind based on 4D flight paths and Route reform
The flight for testing data crosses a moment predictor method, and to increase in flight amount, air route is further busy, the limited further strict back of the body of flight
Under scape, it's a moment pasts the accurate flight that calculates.
To achieve these goals, the present invention adopts the following technical scheme that：
A kind of flight based on 4D flight paths and Route reform empirical data crosses a moment predictor method, comprises the following steps：
Step S1, the plan air route information of flight is obtained, the plan air route information includes each boat of the estimated flight of flight
Waypoint；
Step S2, obtain flight and spend the point moment by a upper way point, be designated as Ti；
Step S3, search history time of flight data of the flight from a upper way point to next target waypoint；
Step S4, flight is obtained from a upper way point to next target course according to the history time of flight data
The experience flight time t of pointI~i+1：
Step S5, calculate flight and spend point moment T by next target waypointi+1：Ti+1=Ti+tI~i+1。
Further, the step S3 comprises the following steps：
Step S31, search from a upper way point to next target and navigate by the flight number of flight, type and landing airport
The history time of flight data of waypoint, if finding, step S4 is performed, otherwise, perform step S32；
Step S32, searched by the airline of flight, type and landing airport from a upper way point to next target
The history time of flight data of way point, if finding, step S4 is performed, otherwise, perform step S33；
Step S33, searched by the type of flight and landing airport from a upper way point to next target waypoint
History time of flight data, if finding, step S4 is performed, otherwise, perform step S34；
Step S34, when searching the history flight from a upper way point to next target waypoint by the type of flight
Between data, if finding, perform step S4, otherwise, perform step S35；
Step S35, searched by similar type of the flight similarity higher than predetermined value from a upper way point to next
The history time of flight data of target waypoint, if finding, step S4 is performed, otherwise, perform step S36；
Step S36, search history flight time number of other flights from a upper way point to next target waypoint
According to being then transferred to step S4.
Further, in the step S3, if only finding the history time of flight data within N days, the step
Rapid S4 is using the history flight time average value within N days as warp of the flight from a upper way point to next target waypoint
Test flight time tI~i+1；Otherwise, the step S4 calculates flight according to formula (1) and navigated from a upper way point to next target
The experience flight time t of waypointI~i+1：
tI~i+1=(flight was put down from a upper way point to the history flight time of next target waypoint in nearest N days
History flight time average value × (1- of the flight from a upper way point to next target waypoint of average × before w+N days
W))/M (1),
Wherein, N is the natural number between 1~7, and w represents weight, and between 70%~90%, M represents to look into w spans
Total number of days corresponding to the history time of flight data found.
By using above-mentioned technical proposal, the present invention has the advantages that：
(1) it can accurately calculate the point moment, reduce the difference that some time intervals were estimated between flight, effectively using the time,
Clearance efficiency is improved, the clearance flight as much as possible in flight restricted time section, dredges air route congestion；
(2) basic data maintenance frequently manually need not be carried out to the flight experience flight time；
(3) autgmentability is strong, when having the new flight to occur, typing is carried out once data were adopted and is entered as the next flight
The foundation of row weighted calculation.
Brief description of the drawings
Fig. 1 crosses a stream of moment predictor method for a kind of flight based on 4D flight paths and Route reform empirical data of the present invention
Cheng Tu；
Fig. 2 is that history time of flight data of the flight from a upper way point to next target waypoint is searched in Fig. 1
Flow chart.
Embodiment
Embodiments of the invention are described below in detail, the example of the embodiment is shown in the drawings, wherein from beginning to end
Same or similar label represents same or similar element or the element with same or like function.Below with reference to attached
The embodiment of figure description is exemplary, is only used for explaining the present invention, and is not construed as limiting the claims.
A kind of flight based on 4D flight paths and Route reform empirical data of the present invention crosses moment predictor method such as Fig. 1 institutes
Show, comprise the following steps：
Step S1, the plan air route information of flight is obtained, the plan air route information includes each boat of the estimated flight of flight
Waypoint, it is designated as way point set { P1, P2... Pm}。
Step S2, obtain flight and pass through a upper way point PiCross point a moment, be designated as Ti.During schedule flight, often
Clock can receive the flight 4D flight paths that primary radar sends over every few seconds, and 4D flight paths are in the form of room and time, and flight is navigated
Each point locus (longitude, latitude and height) and the accurate description of time in mark.
Step S3, when searching history flight of the flight from a upper way point to next target waypoint under different situations
Between data, specifically as shown in Fig. 2 comprising the following steps：
Step S31, search from a upper way point to next target and navigate by the flight number of flight, type and landing airport
The history time of flight data of waypoint, i.e. whether search has the boat of same flight number, same model and identical landing airport before
Class flies to next target waypoint from a upper way point, if so, recording it from a upper way point to next target
The history time of flight data of way point, subsequent step S4 is then performed, otherwise (such as flight may fly certain course line for the first time),
It is transferred to step S32；
Step S32, searched by the airline of flight, type and landing airport from a upper way point to next target
The history time of flight data of way point, i.e. whether lookup has identical airline, same model and identical landing airport before
Flight flown from a upper way point to next target waypoint, if so, recording it from a upper way point to next
The history time of flight data of target waypoint, subsequent step S4 is then performed, otherwise (certain flight of such as certain airline the
Once fly certain course line), it is transferred to step S33；
Step S33, searched by the type of flight and landing airport from a upper way point to next target waypoint
History time of flight data, i.e. whether lookup has the flight on same model and identical landing airport from a upper way point before
Flight is flown to next target waypoint if so, recording it from a upper way point to the history of next target waypoint
Time data, subsequent step S4 is then performed, otherwise (such as certain type flies certain new airport or from certain new field takeoff for the first time), turned
Enter step S34 step S34, when searching the history flight from a upper way point to next target waypoint by the type of flight
Between data, i.e. search whether have same model before flight flown from a upper way point to next target waypoint, if
Have, record it from a upper way point to the history time of flight data of next target waypoint, then perform subsequent step
S4, otherwise (such as certain type is appearance for the first time), it is transferred to step S35；
Step S35, (such as belong to the machine of same type major class by similar type of the flight similarity higher than predetermined value
Type) history time of flight data of the lookup from a upper way point to next target waypoint, i.e. whether lookup has phase before
Flown like the flight of type from a upper way point to next target waypoint, if so, record its from a upper way point to
The history time of flight data of next target waypoint, subsequent step S4 is then performed, otherwise (such as certain type occurs for the first time
And dissimilar with conventional type), it is transferred to step S36；
Step S36, take acquiescence empirical value, i.e. all before lookup to pass through a upper way point and next target course
The flight of point flies to the history time of flight data of next target waypoint from a upper way point, then performs step
S4。
Step S4, flight is obtained from a upper way point to next according to the history time of flight data that is obtained in step S3
The experience flight time of individual target waypoint.Because the handling capacity of passengers (loading capacity) and fuel oil carrying amount of flight nearest period change
Less, meanwhile, stratospheric Changes in weather is also little in the nearest period, therefore, if only find nearest in step s3
Between history time of flight data within section (such as N days), then this step is using the history flight time average value within N days as boat
Class is from a upper way point to the experience flight time t of next target waypointI~i+1；Otherwise, this step is adopted according to formula (1)
With experience flight time t of the calculated with weighted average method flight from a upper way point to next target waypointI~i+1：
tI~i+1=(flight was put down from a upper way point to the history flight time of next target waypoint in nearest N days
History flight time average value × (1- of the flight from a upper way point to next target waypoint of average × before w+N days
W))/M (1),
Wherein, N is the natural number (preferably 3) between 1~7, and w represents weight, and w spans can between 70%~90%
Adjust (preferably 80%), total number of days corresponding to the history time of flight data that M expressions are found.
It should be understood that considering weather reason and air route reason, weight w value can be adjusted according to actual conditions.
For example, when a certain section of air route by such as the adverse weather conditions such as thunderstorm, wind and snow or air route adjust temporarily when, provided by Meteorological Unit
Meteorological data, ratio data weight in N days is adjusted to 90%.；When a certain section of air route is by such as severe day such as thunderstorm, wind and snow
After gas influences the adjustment temporarily of end or air route, by the meteorological data of Meteorological Unit offer, ratio data weight in N days is adjusted
For 70%.
Step S5, calculate flight and spend point moment T by next target waypointi+1：Ti+1=Ti+tI~i+1。
In summary, the present invention distinguished by carrying out specific refinement to the history flight progress of flight, to history flight when
Between data be weighted averagely to obtain the experience flight time of point-to-point transmission, so as to improve the accurate of some moment estimation
Property.
It is above-described, only it is some embodiments of the present invention, it is noted that for the ordinary skill of the art
For personnel, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications
It should be regarded as protection scope of the present invention.
Claims (3)
1. a kind of flight based on 4D flight paths and Route reform empirical data crosses a moment predictor method, it is characterised in that including
Following steps：
Step S1, the plan air route information of flight is obtained, the plan air route information includes each way point of the estimated flight of flight；
Step S2, obtain flight and spend the point moment by a upper way point, be designated as Ti；
Step S3, search history time of flight data of the flight from a upper way point to next target waypoint；
Step S4, flight is obtained from a upper way point to next target waypoint according to the history time of flight data
Experience flight time tI~i+1：
Step S5, calculate flight and spend point moment T by next target waypointi+1：Ti+1=Ti+tI~i+1。
2. the flight according to claim 1 based on 4D flight paths and Route reform empirical data crosses a moment predictor method,
Characterized in that, the step S3 comprises the following steps：
Step S31, searched by the flight number of flight, type and landing airport from a upper way point to next target waypoint
History time of flight data, if finding, perform step S4, otherwise, perform step S32；
Step S32, searched by the airline of flight, type and landing airport from a upper way point to next target course
The history time of flight data of point, if finding, step S4 is performed, otherwise, perform step S33；
Step S33, the history from a upper way point to next target waypoint is searched by the type of flight and landing airport
Time of flight data, if finding, step S4 is performed, otherwise, perform step S34；
Step S34, the history flight time number from a upper way point to next target waypoint is searched by the type of flight
According to, if finding, step S4 is performed, otherwise, execution step S35；
Step S35, searched by similar type of the flight similarity higher than predetermined value from a upper way point to next target
The history time of flight data of way point, if finding, step S4 is performed, otherwise, perform step S36；
Step S36, history time of flight data of other flights from a upper way point to next target waypoint is searched, and
After be transferred to step S4.
3. the flight according to claim 1 based on 4D flight paths and Route reform empirical data crosses a moment predictor method,
Characterized in that, in the step S3, if only finding the history time of flight data within N days, the step S4 is by N
History flight time average value within it is as experience flight of the flight from a upper way point to next target waypoint
Time tI~i+1；Otherwise, the step S4 calculates flight from a upper way point to next target waypoint according to formula (1)
Experience flight time tI~i+1：
tI~i+1=(history flight time average value × w of the flight from a upper way point to next target waypoint in nearest N days
History flight time average value × (1-w) of the flight from a upper way point to next target waypoint before+N days)/M (1),
Wherein, N is the natural number between 1~7, and w represents weight, and between 70%~90%, M represents to find w spans
History time of flight data corresponding to total number of days.
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| CN109191925A (en) * | 2018-10-17 | 2019-01-11 | 中国电子科技集团公司第二十八研究所 | A kind of more airspace trajectory plannings and machinery of consultation towards the operation of four-dimensional track |
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| CN112216151A (en) * | 2020-10-15 | 2021-01-12 | 北京航空航天大学 | Air traffic four-dimensional track regulation and control decision method |
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| CN112216151A (en) * | 2020-10-15 | 2021-01-12 | 北京航空航天大学 | Air traffic four-dimensional track regulation and control decision method |
| CN112216151B (en) * | 2020-10-15 | 2021-12-28 | 北京航空航天大学 | Air traffic four-dimensional track regulation and control decision method |
| US11922817B2 (en) | 2020-10-15 | 2024-03-05 | Beihang University | 4-dimensional trajectory regulatory decision-making method for air traffic |
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Application publication date: 20180119 |