CN113112876A - Flight behavior detection method - Google Patents

Flight behavior detection method Download PDF

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Publication number
CN113112876A
CN113112876A CN202110385991.XA CN202110385991A CN113112876A CN 113112876 A CN113112876 A CN 113112876A CN 202110385991 A CN202110385991 A CN 202110385991A CN 113112876 A CN113112876 A CN 113112876A
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track
navigation
flight
passenger plane
module
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张一诺
路紫
白龙
董雅晴
冯富晶
闫宇航
乔亚奇
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Hebei Normal University
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Hebei Normal University
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Priority to CN202110385991.XA priority Critical patent/CN113112876A/en
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G5/00Traffic control systems for aircraft, e.g. air-traffic control [ATC]
    • G08G5/0073Surveillance aids
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G5/00Traffic control systems for aircraft, e.g. air-traffic control [ATC]
    • G08G5/003Flight plan management

Abstract

The invention discloses a flight behavior detection method, and relates to the technical field of aerospace. The system comprises an information acquisition module, a track planning module, a real-time detection module and an abnormal track alarm module; the method specifically comprises the following steps: acquiring flight information to be detected; planning and calculating flight navigation track; searching the passenger plane meeting the navigation changing condition through the calculated navigation track and selecting the passenger plane which can smoothly complete the navigation; when the passenger plane navigates, the navigation track of the passenger plane is detected and whether deviation occurs is judged; if the deviation occurs, an abnormal alarm is sent to the empty pipe, the empty pipe determines and solves the deviation problem, and then the step four is executed; if the deviation does not occur, an alarm is not sent out to smoothly complete the navigation, the navigation state of the passenger plane is detected in real time by acquiring the track of the navigation state of the passenger plane, so that the real-time behavior of the passenger plane in the flight process is effectively monitored, the passenger plane can be reflected at the first time when a problem occurs, and the safety and the navigation efficiency of the passenger plane during the navigation are improved.

Description

Flight behavior detection method
Technical Field
The invention relates to the technical field of aerospace, in particular to a flight behavior detection method.
Background
The fault tolerance rate in aviation flight is relatively low, both artificial negligence and transient failure of instruments can cause very serious results, and the situation of deviation from a planned airway is easy to happen due to various influence factors such as severe weather, air control, personal behaviors of pilots and the like when a passenger plane flies, and catastrophic results are caused by accidents of the plane due to the abnormal flying behaviors, so that abnormal detection is vital to aviation flight; the traditional aviation anomaly detection lacks of exploration about the flight trajectory, but the flight trajectory is the most intuitive embodiment mode after the anomaly occurs, and has important value.
In the existing detection method for flight deviation from normal track behavior, detection accuracy and timeliness are generally difficult to be considered at the same time, and Chinese patent number CN201811020348.1 is searched to disclose a large-scale four-dimensional track dynamic prediction device.
Disclosure of Invention
The invention aims to provide a flight behavior detection method aiming at the existing problems.
The invention is realized by the following technical scheme: the system comprises an information acquisition module, a track planning module, a real-time detection module and an abnormal track alarm module; the method specifically comprises the following steps:
the method comprises the following steps: acquiring flight information to be detected;
step two: planning and calculating flight navigation track;
step three: searching the passenger plane meeting the navigation changing condition through the calculated navigation track and selecting the passenger plane which can smoothly complete the navigation;
step four: when the passenger plane navigates, the navigation track of the passenger plane is detected and whether deviation occurs is judged;
step five: if the deviation occurs, an abnormal alarm is sent to the empty pipe, the empty pipe determines and solves the deviation problem, and then the step four is executed; if no deviation occurs, no alarm is given to smoothly complete the navigation.
Preferably, the data collected in the information collection module comprises flight numbers, start-stop yard codes, navigation distances, landing airport codes, flight plans, planned flight routes and necessary data required by other civil airliner flights.
Preferably, the trajectory planning module performs route selection according to the data provided by the information acquisition module.
Preferably, the real-time detection module samples track points of the passenger plane in flight in real time and calculates the track points.
Preferably, the track point algorithm is as follows;
T={x1,x2,x3,x4,…,xj,y1,y2,y3,y4,…,yj};
Q={f1,f2,…fj,…fj-1};fj={xj,,yj,dxj,dyj};dxj=xj+1-xj;dyj=yj+1-yj
Figure BDA0003014010870000021
wherein theta isjE (-pi, pi); t is a track point set; j is a track point; if thetajθj+1If < 0, it means that the trajectory is greatly shifted at j, i.e. the passenger aircraft has a trajectory anomaly.
Preferably, the abnormal track alarm module is arranged on the passenger planeDeviation of flight path, i.e. thetajθj+1When the number is less than 0, an abnormal alarm report is sent to a ground air traffic control department by the ATN through the ADS, and information exchange is carried out to the crew in the passenger plane by the air traffic control department through the CPDLC.
Compared with the prior art, the invention has the following advantages:
compared with the existing flight behavior detection method, the method has the advantages that the navigation state of the passenger plane is detected in real time by collecting the track of the passenger plane in the navigation state, the flight behavior of the passenger plane is detected on line, so that the real-time behavior of the passenger plane in the flight process can be effectively monitored, the abnormal behavior can be reflected at the first time, and the safety and the navigation efficiency of the passenger plane in the navigation process are improved.
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FIG. 1 is a schematic overall flow diagram of the present invention;
fig. 2 is an overall block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments; all other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
referring to fig. 1, the present invention provides a technical solution, which includes an information acquisition module, a trajectory planning module, a real-time detection module, and an abnormal trajectory alarm module; the method specifically comprises the following steps:
the method comprises the following steps: acquiring flight information to be detected;
step two: planning and calculating flight navigation track;
step three: searching the passenger plane meeting the navigation changing condition through the calculated navigation track and selecting the passenger plane which can smoothly complete the navigation;
step four: when the passenger plane navigates, the navigation track of the passenger plane is detected and whether deviation occurs is judged;
step five: if the deviation occurs, an abnormal alarm is sent to the empty pipe, the empty pipe determines and solves the deviation problem, and then the step four is executed; if no deviation occurs, no alarm is given to smoothly complete the navigation.
In this embodiment: the steps enable the real-time behavior of the passenger plane in the flying process to be effectively monitored, and the real-time behavior can be reflected in the first time when problems occur, so that the safety and the navigation efficiency of the passenger plane during navigation are improved.
Example two:
referring to fig. 2, on the basis of the first embodiment, the present invention provides a technical solution: the data collected in the information collection module comprises flight numbers, starting and stopping yard codes, navigation distance, landing airport codes, flight plans, planned flight routes and other necessary data required by the flight of the civil passenger aircraft, the route planning module performs route selection according to the data provided by the information collection module, the real-time detection module performs real-time sampling on track points of the passenger aircraft in flight and calculates the track points, and a track point algorithm is as follows;
T={x1,x2,x3,x4,…,xj,y1,y2,y3,y4,…,yj};
Q={f1,f2,…fj,…fj-1};fj={xj,,yj,dxj,dyj};dxj=xj+1-xj;dyj=yj+1-yj
Figure BDA0003014010870000041
wherein theta isjE (-pi, pi); t is a track point set; j is a track point; if thetajθj+1If the value is less than 0, the track is deviated at a large angle at the position j, namely the track of the passenger plane is abnormal, and an abnormal track alarm module is arranged on the flight track of the passenger planeTrace offset θjθj+1When the number is less than 0, an abnormal alarm report is sent to a ground air traffic control department by the ATN through the ADS, and information exchange is carried out to the crew in the passenger plane by the air traffic control department through the CPDLC.
In this embodiment: the multiple groups of modules work cooperatively, so that the track detection real-time performance of the airliner navigation is higher, and the navigation safety is further improved.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (6)

1. A flight behavior detection method is characterized by comprising the following steps: the system comprises an information acquisition module, a track planning module, a real-time detection module and an abnormal track alarm module; the method specifically comprises the following steps:
the method comprises the following steps: acquiring flight information to be detected;
step two: planning and calculating flight navigation track;
step three: searching the passenger plane meeting the navigation changing condition through the calculated navigation track and selecting the passenger plane which can smoothly complete the navigation;
step four: when the passenger plane navigates, the navigation track of the passenger plane is detected and whether deviation occurs is judged;
step five: if the deviation occurs, an abnormal alarm is sent to the empty pipe, the empty pipe determines and solves the deviation problem, and then the step four is executed; if no deviation occurs, no alarm is given to smoothly complete the navigation.
2. A flight behavior detection method according to claim 1, characterized in that: the data collected in the information collection module comprises flight numbers, start-stop field codes, navigation distances, landing airport codes, flight plans, planned flight routes and other necessary data required by the flight of civil airliners.
3. A flight behavior detection method according to claim 1, characterized in that: and the track planning module is used for carrying out route preference selection according to the data provided by the information acquisition module.
4. A flight behavior detection method according to claim 1, characterized in that: the real-time detection module samples the track points of the passenger plane in flight in real time and calculates the track points.
5. A flight behavior detection method according to claim 4, characterized in that: the track point algorithm is as follows;
T={x1,x2,x3,x4,…,xj,y1,y2,y3,y4,…,yj};
Q={f1,f2,…fj,…fj-1};fj={xj,,yj,dxj,dyj};dxj=xj+1-xj;dyj=yj+1-yj
Figure FDA0003014010860000011
wherein theta isjE (-pi, pi); t is a track point set; j is a track point; if thetajθj+1<A 0 indicates that the trajectory is greatly shifted at j, i.e. that the passenger aircraft is out of trajectory.
6. A flight behavior detection method according to claim 1, characterized in that: the abnormal track alarm module generates deviation theta in the flight track of the passenger planejθj+1<And when 0, sending an abnormal alarm report to a ground air traffic control department by the ATN through the ADS, and exchanging information to the crew in the passenger plane by the air traffic control department through the CPDLC.
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104260896A (en) * 2014-09-01 2015-01-07 陈宜中 Method for passengers to participate in alarming when passenger plane meets with hijacking
CN107808552A (en) * 2017-10-27 2018-03-16 中航信移动科技有限公司 Flight behavioral value method and apparatus
CN108717300A (en) * 2018-04-24 2018-10-30 中国商用飞机有限责任公司北京民用飞机技术研究中心 A kind of auxiliary monitoring device in flight control system
CN110992733A (en) * 2019-12-11 2020-04-10 北京航空航天大学 Online detection method and device for flight deviation from normal track behavior
CN111915930A (en) * 2020-07-21 2020-11-10 北京航空航天大学 Airborne empty pipe enhancement co-processing system and method
CN112396872A (en) * 2020-11-03 2021-02-23 海丰通航科技有限公司 Airplane yaw judging method and device based on computer flight plan CFP data and storage medium

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104260896A (en) * 2014-09-01 2015-01-07 陈宜中 Method for passengers to participate in alarming when passenger plane meets with hijacking
CN107808552A (en) * 2017-10-27 2018-03-16 中航信移动科技有限公司 Flight behavioral value method and apparatus
CN108717300A (en) * 2018-04-24 2018-10-30 中国商用飞机有限责任公司北京民用飞机技术研究中心 A kind of auxiliary monitoring device in flight control system
CN110992733A (en) * 2019-12-11 2020-04-10 北京航空航天大学 Online detection method and device for flight deviation from normal track behavior
CN111915930A (en) * 2020-07-21 2020-11-10 北京航空航天大学 Airborne empty pipe enhancement co-processing system and method
CN112396872A (en) * 2020-11-03 2021-02-23 海丰通航科技有限公司 Airplane yaw judging method and device based on computer flight plan CFP data and storage medium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
张浩东: "基于飞行轨迹的飞机飞行异常检测算法", 《现代计算机》 *

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