CN108648510A - The flight sortie statistical method of data is monitored based on aircraft - Google Patents
The flight sortie statistical method of data is monitored based on aircraft Download PDFInfo
- Publication number
- CN108648510A CN108648510A CN201810378664.XA CN201810378664A CN108648510A CN 108648510 A CN108648510 A CN 108648510A CN 201810378664 A CN201810378664 A CN 201810378664A CN 108648510 A CN108648510 A CN 108648510A
- Authority
- CN
- China
- Prior art keywords
- condition
- aircraft
- area
- statistical
- sortie
- 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
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
- G08G5/0043—Traffic management of multiple aircrafts from the ground
Landscapes
- Engineering & Computer Science (AREA)
- Aviation & Aerospace Engineering (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The present invention relates to civil aviaton's monitoring data analysis and utilize technical field, and in particular to a kind of flight sortie statistical method being monitored data based on aircraft is included the following steps：(1) statistical regions condition is set；(2) monitoring data and pretreatment are obtained；(3) the aircraft target for meeting statistical regions condition is chosen；(4) sortie is counted according to the period；The present invention utilizes the monitoring such as address, height, position, time of aircraft target data, using computer programming count in self-defined spatial domain condition and Sortie in the period, arbitrary region, the flight sortie of period can be counted, has higher accuracy, the needs of the department of control instantly flight sortie statistics can be met, artificial statistics is broken away from, working efficiency is improved.
Description
Technical field
The present invention relates to civil aviaton's monitoring data analysis and utilize technical field, and in particular to one kind monitoring number based on aircraft
According to flight sortie statistical method.
Background technology
In the prior art, flight sortie statistical system is typically integrated in air traffic control automation system, for statistical condition and
Timing statistics section has certain limitations, i.e., can not freely be arranged；And its sortie statistic algorithm has been not suitable with current changeable fly
Line mode and statistical requirements cannot be satisfied the needs that control department counts flight sortie.Currently, control department is only capable of passing through people
Work count it is provisional with complicated spatial domain in flight sortie, under larger control pressure, statistical work be not only unable to get compared with
For accurate statistical result, and the energy of controller is will disperse, influences aviation safety.
Invention content
For the problems of the prior art, the purpose of the present invention is to provide a kind of flights monitoring data based on aircraft
Sortie statistical method meets the requirement of control department flight sortie statistics, improves working efficiency.
To achieve the goals above, the present invention is achieved by the following technical programs：
A kind of flight sortie statistical method being monitored data based on aircraft, is included the following steps：
(1) statistical regions condition is set, and the statistical regions condition is by an active region condition and at least one condition
Area's condition composition；
The active region condition includes an area of space and an activationary time parameter；
The condition portion condition includes one or more area of space, and is wanted correspondingly with the area of space
Seek occurrence number parameter；
(2) monitoring data, the monitoring data packet are obtained from supervision equipment or mating recording equipment using computer
Address, height and the location information of aircraft target are included, and according to the time order and function for detecting aircraft target in monitoring data
Sequence is screened, is sorted；Meanwhile the location information in monitoring data is coordinately transformed, it will not concentric polar coordinates
In position and the unification to the same cartesian coordinate system of WGS84 coordinate positions；
(3) it is that configuration file imports computer, Initialization Analysis program, computer program root by the establishment of statistical regions condition
According to pre-set statistical regions conditional plan, pretreated aircraft targeted surveillance data are analyzed, selection meets
The aircraft target of statistical regions condition, and monitored that information and the time of disengaging statistical regions are recorded；
(4) the aircraft target for meeting statistical regions condition selected is retrieved according to the time, when statistics passes in and out region
Between have the aircraft target number of intersection with timing statistics section, which is sortie statistical result.
Preferably, in the step (1), polygon or circle that the area of space is made of WGS84 coordinate points
Shape plane domain and solid space range defined by minimum, highest height above sea level.
Preferably, in step (3), to monitoring that the analysis of data specifically includes：When aircraft target enters active region condition
Set area of space then starts the calculating that eligible area's condition is persistently made whether to aircraft target：
For aircraft target in the activationary time set by the condition of active region, accumulation appears in the space region of condition portion condition
When requirement occurrence number set by number >=condition portion condition in domain, then it is assumed that the aircraft target meets this condition
Area's condition；The calculating for stopping first condition portion condition after first condition portion condition of the aircraft goal satisfaction, goes forward side by side
Row second condition area calculates, until the last one condition portion condition；
After the activationary time set by the condition of active region, stop condition area condition calculates, and judges aircraft target
Whether meet the last one condition portion condition, if met, is considered as and meets entire statistical regions condition and record the aircraft
It is the monitoring data of target and the time for passing in and out statistical regions, on the contrary then do not meet.
Flight sortie statistical method provided by the invention, utilizes the prisons such as the address of aircraft target, height, position, time
Depending on data, using computer programming count in self-defined spatial domain condition and Sortie in the period, can count arbitrary region, when
The flight sortie of section, has higher accuracy, can meet the needs of the department of control instantly flight sortie statistics, break away from artificial system
Meter improves working efficiency.
Description of the drawings
Fig. 1 is the flow chart provided by the invention that data progress flight sortie statistical method is monitored based on aircraft；
Fig. 2 is the schematic diagram that statistical regions condition forms in the present invention；
Fig. 3 is space accordance calculation flow chart in the present invention；
Fig. 4 is time accordance calculation flow chart in the present invention；
Fig. 5 is the schematic diagram that statistical regions condition is arranged in embodiment 1.
Specific implementation mode
In order to make the technical means, the creative features, the aims and the efficiencies achieved by the present invention be easy to understand, tie below
Specific embodiment is closed, the present invention is furture elucidated.
To ensure accurate flight sortie statistical method, ensure aviation safety, the present invention provides one kind being based on aircraft
Monitor the flight sortie statistical method of data, in conjunction with shown in Fig. 1, the flight sortie statistical method includes the following steps：
S1：Statistical regions condition is set, and the statistical regions condition is by an active region condition and at least one condition
Area's condition composition；
The active region condition includes an area of space and an activationary time parameter；
The condition portion condition includes one or more area of space, and is wanted correspondingly with the area of space
Seek occurrence number parameter；
S2：Obtain monitoring data and pretreatment
Monitoring data are obtained from supervision equipment or mating recording equipment using computer, the monitoring data include boat
Address, height and the location information of pocket target, and according to the chronological order for detecting aircraft target in monitoring data
It screened, sorted；Meanwhile the location information in monitoring data is coordinately transformed, it will not concentric polar coordinate position
And in the unification to the same cartesian coordinate system of WGS84 coordinate positions；
S3：Choose the aircraft target for meeting statistical regions condition
By statistical regions condition establishment be configuration file import computer, Initialization Analysis program, computer program according to
Pre-set statistical regions conditional plan analyzes pretreated aircraft targeted surveillance data, and selection meets system
The aircraft target of area condition is counted, and is monitored that information and the time of disengaging statistical regions are recorded；
S4：Sortie is counted according to the period
The aircraft target for meeting statistical regions condition selected is retrieved according to the time, statistics disengaging zone time with
It is sortie statistical result that timing statistics section, which has the aircraft target number of intersection, the number,.
In conjunction with shown in Fig. 2, the statistical regions condition is for judging whether aircraft target flies over some sector, boat
The area of space condition model on road, destination or specific spatial domain.It is set a series of for uniting according to actual count demand
The parameter summation of meter is made of an active region condition and at least one condition portion condition.
Further, the polygon or round plane that heretofore described area of space is made of WGS84 coordinate points
Region and solid space range defined by minimum, highest height above sea level.The area of space can carry out union, difference set and intersection
It calculates, forms complicated and diversified area of space.
Further, to monitoring that the analysis of data specifically includes in the present invention：
When aircraft target enters the area of space set by the condition of active region, then start persistently to carry out aircraft target
Whether eligible area's condition calculates.
Aircraft target is in the activationary time set by the condition of active region, the accumulative space region for appearing in condition portion condition
The requirement occurrence number set by number >=this condition portion condition in domain, then it is assumed that the aircraft target meets this condition portion item
Part.
Multiple area of space are logical "or" relationship in condition portion condition, as long as that is, aircraft target is in any one space
Occurrence number is then considered as more than or equal to area of space requirement occurrence number and meets in region.
When there are multiple condition portion conditions for statistical regions condition, then first determine whether aircraft target meets first item
Part area condition.After meeting first condition portion condition, then stops first condition portion condition and calculate, start to calculate aircraft mesh
Whether mark meets second condition portion condition.And so on, a to the last condition portion condition.
After the activationary time set by the condition of active region, stop condition area condition calculates, and judges aircraft target
Whether the last one condition portion condition is met.If met, it is considered as the entire statistical regions condition that meets, it is on the contrary then do not meet.
The monitoring data of the aircraft target are recorded if meeting statistical regions condition and pass in and out the time of statistical regions, which is out
Begin the time for entering first condition portion conditioned space region and the time for leaving the last one condition portion conditioned space region.
The computer of flight sortie statistical method set forth in the present invention is realized to be calculated by space accordance to be met with the time
Property calculate two calculation processes composition, flow chart is shown in Fig. 3 and Fig. 4 respectively.According to different application demands, two can be counted
It calculates processing procedure and is divided into lasting sortie statistics program and single sortie statistics program.
Continue the space accordance meter that sortie statistics program carries out the real-time monitoring data that supervision equipment exports duration
It calculates, the aircraft target data for meeting statistical regions condition is preserved into database.When user needs to count certain period region
When sortie, program then obtains aircraft target data corresponding with the region from database and carries out time accordance calculating, system
Count out sortie result.Continue sortie statistics program and be mainly used in the regular not labile region of statistics, advantage is to be united
It is fast to count result, daily regularly statistical demand can be coped with, the disadvantage is that adjustment statistical regions are dumb, once change statistical regions
It needs to accumulate data again.
After single sortie statistics program suitably amplifies statistical time range, the history that recording equipment preserves is loaded into according to the time and is supervised
Depending on data and carry out space accordance calculating.After calculating the aircraft target for meeting statistical regions condition, when directly carrying out
Between accordance calculate, count sortie result.Single sortie statistics program is mainly used in provisional statistics and labile area
Domain, advantage are that adjustment statistical condition is flexible, can cope with the statistical demand of burst, the disadvantage is that acquisition statistical result is slow, unite every time
Meter will carry out a complete room and time accordance and calculate.
Shown in Figure 3, space accordance calculation processing flow is divided into 14 steps.
1, statistical regions condition configuration file initialization program is loaded
According to statistical demand, the statistical regions condition of reasonable design, and it is configuration file to work out.Configuration file is imported and is counted
Calculation machine initializes space accordance calculation procedure.
2, monitoring data are obtained
Lasting sortie is counted, monitoring data obtain in real time from supervision equipment output interface.And it unites for single sortie
Meter after monitoring data need the first appropriate amplification according to timing statistics section, then is obtained from recording equipment output interface or file.
3, judge whether successfully to obtain monitoring data
Monitoring data result is obtained to the 2nd step to judge, if obtain data, whether the data obtained are correct.Such as
Fruit, which obtains, monitors that data are correct, then enters the 4th step.If incorrect, EP (end of program).
4, data prediction is monitored
Parsed from monitoring data, the information such as the address, height, position, the time that sort out aircraft target, and according to when
Between screened, sorted.Meanwhile location information in monitoring data is coordinately transformed, it will not concentric polar coordinate position
And in the unification to the same cartesian coordinate system of WGS84 coordinate positions.
5, judge whether activation condition area condition calculates aircraft target
The aircraft target that program calculates activation condition area condition, which is established state cache and is stored in, has activated target column
Table.Search for this list, you can judge whether certain aircraft target has been activated.If activated, enters the 8th step and execute condition
Area's condition calculates.If be not activated also, judge whether it meets active region condition into the 6th step.
6, judge whether aircraft target meets active region condition
Judge the aircraft target by calculating aircraft target location and whether being in the area of space of active region condition
Whether active region condition is met.If met, enters the 7th step activation condition area condition and calculate.If do not met, abandoning should
Data no longer calculate it.
7, activation aircraft goal condition area condition calculates
Aircraft target to meeting active region condition, which is established state cache and is stored in, has activated object listing.State cache
For being stored in the address of the entire activation computing interval aircraft target, activationary time, passing in and out zone time, condition portion condition
With the information such as corresponding result of calculation.
8, aircraft goal condition area condition calculates
For activated aircraft target, calculate whether be in condition portion using the target position information of newest acquisition
In conditioned space region, and result of calculation is recorded in the state cache of the aircraft target.If the target is for the first time
The last one condition portion is left in entry condition area, then the information such as time, the position of the target are preserved in state cache.
9, judge the whether eligible area's condition of aircraft target
After carrying out aircraft goal condition area condition and calculating, which is judged according to result of calculation in its state cache
The whether eligible area's condition of device target.If met, next condition portion condition is updated into the 10th step.If be not inconsistent
It closes, then judges whether aircraft target reaches activationary time into the 11st step.
10, it is updated to next condition portion condition
According to the statistical regions conditional plan being pre-loaded into, the aircraft target is replaced with the new condition portion condition of the latter
Condition portion condition in state cache, and reset corresponding result of calculation.If the condition portion condition in state cache has been
The last one, then without any operation.
11, judge whether aircraft target reaches activationary time
Activationary time information in being cached by the aircraft dbjective state, judges whether it reaches activationary time.If
Reach, then judges whether the aircraft target meets the last one condition portion condition into the 12nd step.If do not reached, return to
2nd step continues to obtain new data.
12, judge whether aircraft target meets the last one condition portion condition
Conditional area's condition and corresponding calculation result data are cached according to the aircraft dbjective state, judges whether it accords with
Close the last one condition portion condition.If met, dependent surveillance information and disengaging statistical regions time are preserved into the 13rd step.Such as
Fruit does not meet, and cancels the aircraft target state of activation into the 14th step and stops calculating it.
13, aircraft targeted surveillance information and disengaging statistical regions time are preserved
Lasting sortie is counted, the monitoring information of aircraft target and disengaging statistical regions time will be stored in database
In.And single sortie is counted, these information will be used directly to the calculating of time accordance.
14, cancel aircraft target state of activation
The state cache of the aircraft target is emptied, and is removed from having activated in object listing.
Shown in Figure 4, time accordance calculation processing flow is divided into 2 steps.
1, the aircraft target data for meeting statistical regions condition is obtained
Lasting sortie is counted, the aircraft target data for meeting statistical regions condition is obtained from database.And it is right
It is counted in single sortie, these data are calculated by space accordance and directly provided.
2. statistics disengaging zone time meets the aircraft target number of timing statistics section
Lasting sortie is counted, directly database is retrieved according to timing statistics section, inquiry disengaging zone time
There is the aircraft target of intersection with timing statistics section and sum, exports statistical result.And single sortie is counted, by the 1st step
The aircraft target data of acquisition carries out time calculating, judges that it passes in and out whether zone time with timing statistics section has intersection.Such as
Fruit has, and records it and monitors that data, statistical summary fruit add one；If nothing, the data are abandoned.Wait for that all monitoring data all calculate
It finishes, exports statistical result.
In order to keep setting statistical regions condition technical solution set forth in the present invention clearer, below in conjunction with specific reality
Example 1 is applied, setting statistical regions condition is described in detail.
Embodiment 1
Shown in Figure 5, it is 10 nautical miles of square control zone Z to have the length of side, control zone Z height above sea levels from 0 meter to
7800 meters.There are totally 2 course lines positive thing bidirectional flight lines X and positive north and south bidirectional flight lines Y in this control zone Z.Aircraft is in control
Course line is strictly pressed in the Z of region and at the uniform velocity put down and is flown, and speed is 0.1 nautical mile per second.Monitor that the data update period is 4 seconds.In control
X two-way flight sorties in course line are counted in the Z of region, can be arranged：
The area of space of active region condition is AZX, and height above sea level is from 0 meter to 7800 meter.Area of space AZX planar range packets
Entire course line X and appropriate 1 nautical mile of expansion outward in control zone Z are contained, no matter aircraft enters sky from the east or west in this way
Between region AZX will all be activated and count.
The activationary time parameter of active region condition is 120 seconds.According to the flight characteristics of aircraft in control zone Z, fly over whole
A course line X used times are 100 seconds, it is contemplated that active region conditioned space region extends out 1 nautical mile, therefore is further added by 20 seconds.
The area of space of condition portion condition is CZX, and height above sea level is from 0 meter to 7800 meter.Area of space CZX planar ranges exist
In area of space AZX, entire course line X in control zone Z is contained, only suitably expands 0.5 nautical mile in north and south face, is ensureing in this way
Pass in and out the statistical regions time as far as possible accurately in the case of, improve to monitor data error degrees of tolerance.
The area of space CZX of condition portion condition is corresponding, and to require occurrence number be 23 times.Monitor that data update 1 time for every 4 seconds,
According to flight characteristics, 25 monitoring data updates will occur by 10 nautical miles long in entire control zone Z of course line X.
In view of boarding a plane the tolerance and course line Y that monitor data error into the area of space CZX of this condition portion condition
At most there are 2 monitoring data updates, therefore can suitably be reduced on the basis of maximum monitoring data update 25 times.
The basic principles and main features and the features of the present invention of the present invention have been shown and described above.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the above embodiments and description only describe this
The principle of invention, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes
Change and improvement is both fallen in the range of claimed invention.The scope of protection of present invention is by appended claims
And its equivalent thereof.
Claims (3)
1. a kind of flight sortie statistical method monitoring data based on aircraft, it is characterised in that：Include the following steps：
(1) statistical regions condition is set, and the statistical regions condition is by an active region condition and at least one condition portion item
Part forms；
The active region condition includes an area of space and an activationary time parameter；
The condition portion condition includes one or more area of space, and to be found out correspondingly with the area of space
Existing count parameter；
(2) monitoring data are obtained from supervision equipment or mating recording equipment using computer, the monitoring data include boat
Address, height and the location information of pocket target, and according to the chronological order for detecting aircraft target in monitoring data
It screened, sorted；Meanwhile the location information in monitoring data is coordinately transformed, it will not concentric polar coordinate position
And in the unification to the same cartesian coordinate system of WGS84 coordinate positions；
(3) it is that configuration file imports computer by the establishment of statistical regions condition, Initialization Analysis program, computer program is according to pre-
The statistical regions conditional plan being first arranged analyzes pretreated aircraft targeted surveillance data, and selection meets statistics
The aircraft target of area condition, and monitored that information and the time of disengaging statistical regions are recorded；
(4) the aircraft target for meeting statistical regions condition selected is retrieved according to the time, statistics disengaging zone time with
It is sortie statistical result that timing statistics section, which has the aircraft target number of intersection, the number,.
2. the flight sortie statistical method according to claim 1 for monitoring data based on aircraft, it is characterised in that：Step
(1) in, polygon or round plane domain and minimum, highest height above sea level that the area of space is made of WGS84 coordinate points
Solid space range defined by height.
3. the flight sortie statistical method according to claim 1 for monitoring data based on aircraft, it is characterised in that：Step
(3) in, to monitoring that the analysis of data specifically includes：When aircraft target enters the area of space set by the condition of active region, then
Start the calculating that eligible area's condition is persistently made whether to aircraft target：
In activationary time set by the condition of active region, accumulation appears in the area of space of condition portion condition aircraft target
Number >=condition portion condition set by requirement occurrence number when, then it is assumed that the aircraft target meets this condition portion item
Part；Stop the calculating of first condition portion condition after first condition portion condition of the aircraft goal satisfaction, and carries out the
Two condition portions calculate, until the last one condition portion condition；
After the activationary time set by the condition of active region, stop condition area condition calculates, and whether judges aircraft target
Meet the last one condition portion condition, if met, is considered as and meets entire statistical regions condition and record the aircraft target
Monitoring data and pass in and out time of statistical regions, it is on the contrary then do not meet.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810378664.XA CN108648510B (en) | 2018-04-25 | 2018-04-25 | Flight number statistical method based on aircraft monitoring data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810378664.XA CN108648510B (en) | 2018-04-25 | 2018-04-25 | Flight number statistical method based on aircraft monitoring data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108648510A true CN108648510A (en) | 2018-10-12 |
| CN108648510B CN108648510B (en) | 2021-03-02 |
Family
ID=63747546
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810378664.XA Active CN108648510B (en) | 2018-04-25 | 2018-04-25 | Flight number statistical method based on aircraft monitoring data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108648510B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110660274A (en) * | 2019-09-30 | 2020-01-07 | 中国电子科技集团公司第二十八研究所 | Airport capacity demand balance prediction method |
| CN112465336A (en) * | 2020-11-24 | 2021-03-09 | 海南太美航空股份有限公司 | Flight data optimization method and system and electronic equipment |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3409896A (en) * | 1966-06-15 | 1968-11-05 | Martin F. Schultz | Aircraft traffic counter |
| US20040193362A1 (en) * | 2003-03-25 | 2004-09-30 | Baiada R. Michael | Method and system for aircraft flow management |
| CN102074126A (en) * | 2011-01-19 | 2011-05-25 | 清华大学 | Historical radar data based air traffic flow analysis system and method |
| CN102147982A (en) * | 2011-04-13 | 2011-08-10 | 中国民航大学 | Method for predicating dynamic volume of sector area |
| CN105355092A (en) * | 2015-12-03 | 2016-02-24 | 上海民航华东空管工程技术有限公司 | Flight flow pre-control method |
| CN105513431A (en) * | 2015-11-30 | 2016-04-20 | 中国民用航空厦门空中交通管理站 | Dynamic value determining method and system for practical operation standard of air traffic flow management |
| CN105679102A (en) * | 2016-03-03 | 2016-06-15 | 南京航空航天大学 | National flight flow space-time distribution prediction deduction system and method |
| CN107657838A (en) * | 2017-10-10 | 2018-02-02 | 中国民航大学 | The extracting method of parameter index in a kind of transport air flow characteristic parameter index system |
-
2018
- 2018-04-25 CN CN201810378664.XA patent/CN108648510B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3409896A (en) * | 1966-06-15 | 1968-11-05 | Martin F. Schultz | Aircraft traffic counter |
| US20040193362A1 (en) * | 2003-03-25 | 2004-09-30 | Baiada R. Michael | Method and system for aircraft flow management |
| CN102074126A (en) * | 2011-01-19 | 2011-05-25 | 清华大学 | Historical radar data based air traffic flow analysis system and method |
| CN102147982A (en) * | 2011-04-13 | 2011-08-10 | 中国民航大学 | Method for predicating dynamic volume of sector area |
| CN105513431A (en) * | 2015-11-30 | 2016-04-20 | 中国民用航空厦门空中交通管理站 | Dynamic value determining method and system for practical operation standard of air traffic flow management |
| CN105355092A (en) * | 2015-12-03 | 2016-02-24 | 上海民航华东空管工程技术有限公司 | Flight flow pre-control method |
| CN105679102A (en) * | 2016-03-03 | 2016-06-15 | 南京航空航天大学 | National flight flow space-time distribution prediction deduction system and method |
| CN107657838A (en) * | 2017-10-10 | 2018-02-02 | 中国民航大学 | The extracting method of parameter index in a kind of transport air flow characteristic parameter index system |
Non-Patent Citations (2)
| Title |
|---|
| SUZANNE NOWICKI等: "Thermal neutron flux characterization at aircraft altitudes with the TinMan detector", 《2017 IEEE AEROSPACE CONFERENCE》 * |
| 徐肖豪等: "空中交通流量统计和预测系统的设计与实现", 《中国民航学院学报》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110660274A (en) * | 2019-09-30 | 2020-01-07 | 中国电子科技集团公司第二十八研究所 | Airport capacity demand balance prediction method |
| CN112465336A (en) * | 2020-11-24 | 2021-03-09 | 海南太美航空股份有限公司 | Flight data optimization method and system and electronic equipment |
| CN112465336B (en) * | 2020-11-24 | 2024-04-09 | 海南太美航空股份有限公司 | Flight data optimization method and system and electronic equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108648510B (en) | 2021-03-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11024182B2 (en) | System and method to forecast flight delay based on real-time data | |
| US20190080274A1 (en) | Tracking and/or analyzing facility-related activities | |
| US10909858B2 (en) | Aircraft flight management systems and methods | |
| CN105676856B (en) | Exchange method, interactive device and the interactive system of unmanned vehicle | |
| Matthews et al. | Assessment and interpretation of en route weather avoidance fields from the convective weather avoidance model | |
| CN110471055B (en) | Method and device for predicting flight path, readable storage medium and terminal equipment | |
| CN108648510A (en) | The flight sortie statistical method of data is monitored based on aircraft | |
| US20210183253A1 (en) | Aircraft flight strategy selection systems and methods | |
| CN111626519A (en) | Flight arrival time prediction method and device and electronic equipment | |
| CN101465066B (en) | Method for obtaining airplane vertical occupation ratio | |
| CN109669357A (en) | Path planning verification and multi-platform control system and the method for multitask unmanned plane | |
| Kochenderfer et al. | A comprehensive aircraft encounter model of the national airspace system | |
| Schultz et al. | Classification of weather impacts on airport operations | |
| US11704943B2 (en) | Usage-based maintenance service system | |
| US20200356958A1 (en) | Usage-based maintenance system for vehicles and method of operating the same | |
| CN101533566A (en) | Method for predicting air traffic flow and device thereof | |
| CN110017838A (en) | Schedule flight trajectory predictions method, equipment, medium and system | |
| CN113733086A (en) | Robot traveling method, device, equipment and storage medium | |
| EP3736779A1 (en) | System and method for detecting vehicle environmental exposure and for determining maintenance service according to detected exposure | |
| CN105118332A (en) | Air traffic control analog simulation abnormality detection method and device based on clustering analysis method | |
| US20230386346A1 (en) | Aircraft flight management systems and methods | |
| CN114037920A (en) | Intelligent forest and grass comprehensive information management system, method and equipment based on remote sensing technology | |
| Jacquillat et al. | Airport Congestion Mitigation through Dynamic Control of Runway Configurations and of Arrival and Departure Service Rates under Stochastic Operating Conditions | |
| CN111866464A (en) | Agricultural tractor remote control system based on virtual reality technology | |
| CN105303898A (en) | Air traffic control simulation abnormity detection method based on major constituent analysis and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |