CN116052482A - Method for early warning of aircraft track yaw, electronic equipment and storage medium - Google Patents
Method for early warning of aircraft track yaw, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN116052482A CN116052482A CN202310346485.9A CN202310346485A CN116052482A CN 116052482 A CN116052482 A CN 116052482A CN 202310346485 A CN202310346485 A CN 202310346485A CN 116052482 A CN116052482 A CN 116052482A
- Authority
- CN
- China
- Prior art keywords
- track
- information
- navigation
- similarity
- aircraft
- 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
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
- G08G5/0073—Surveillance aids
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Aviation & Aerospace Engineering (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention provides a method for pre-warning yaw of an aircraft track, which comprises the steps of obtaining navigation point information corresponding to a preset aircraft track of a target aircraft through obtaining an aviation route information list corresponding to a preset aviation route network, obtaining a first track information list corresponding to a first track, further obtaining a longitude and latitude coordinate list of a track point corresponding to the target aircraft in a preset time period, carrying out route network matching on the longitude and latitude coordinates based on the aviation route information list, obtaining middle track information corresponding to a middle track, obtaining a similarity list between a second track information and each first track information, obtaining the maximum value in the similarity list as target similarity, and sending yaw pre-warning information to a server corresponding to the target aircraft when the target similarity is smaller than or equal to a preset first similarity threshold. The situation that a target aircraft is yawed due to special conditions after taking off and a user cannot find and process the yaw in time is avoided.
Description
Technical Field
The invention relates to the field of aircraft yaw early warning, in particular to a method, electronic equipment and a storage medium for aircraft track yaw early warning.
Background
Under the scene of complex airspace structure and unknown navigation condition, the realization of the yaw early warning of the aircraft is a research important point in the air traffic management. On one hand, due to the fact that flights often deviate from a planned route due to various influencing factors, such as bad weather, air control, personal behaviors of a driver and the like, once an aircraft accident occurs due to abnormal navigation behaviors, disastrous results are very easy to be caused; on the other hand, because the actual operation process of the flight often has a round-trip strategy, if the difference between the actual flight path and the planned flight path is compared, a plurality of flights adopting the round-trip strategy are defined as abnormal, and the condition of false alarm is greatly increased; in addition, because the flight operation has the characteristic of strong real-time performance, the situation of deviating from the normal flight path often occurs in a very short time, and high requirements are put on the detection real-time performance. Therefore, an effective aircraft track yaw early warning method is critical to the airspace safety and the running efficiency.
Disclosure of Invention
Aiming at the technical problems, the invention adopts the following technical scheme:
a method for aircraft trajectory yaw warning, comprising the steps of:
s100, acquiring an aviation route information list A= (A) corresponding to a preset aviation road network 1 ，A 2 ，……，A i ，……，A m ) I=1, 2, … …, m, m is the number of aviation route information corresponding to the preset aviation road network; the method comprises the steps of presetting aviation route information A corresponding to an ith aviation route in an aviation route network i =（DA i1 ，DA i2 ），DA i1 Identify for the start navigation point of the ith airline route, DA i2 Identifying a termination navigation point of the ith aviation route;
s200, acquiring navigation point information C= (C) corresponding to a preset aircraft track of a target aircraft 1 ，C 2 ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein the method comprises the steps of，C 1 C, presetting an initial navigation point mark corresponding to the aircraft track 2 A termination navigation point mark corresponding to a preset aircraft track is provided;
s300, according to C, a first track information list D= (D) corresponding to the first track is obtained 1 ，D 2 ，……，D g ，……，D G ) G=1, 2, … …, G being the number of first tracks; wherein D is g The first track information corresponding to the g first track is the initial navigation point C 1 And the termination navigation point is C 2 Historical navigation tracks of (a);
s400, acquiring a longitude and latitude coordinate list W= (W) of a track point corresponding to the target aircraft in a preset time period 1 ，W 2 ，……，W r ，……，W R ) R=1, 2, … …, R is the number of longitude and latitude coordinates of the track point corresponding to the target aircraft obtained in a preset time period; wherein W is r For the longitude and latitude coordinates of the r-th track point corresponding to the target aircraft in the preset time period, W 1 ，W 2 ，……，W r ，……，W R Arranging according to the acquisition time, wherein the ending time of the preset time period is the current time;
s500, performing road network matching on the W based on the A to obtain intermediate track information Z corresponding to the intermediate track 0 The method comprises the steps of carrying out a first treatment on the surface of the The middle track is a navigation track obtained by correcting longitude and latitude coordinates of the track point in the W according to the A;
s600 according to Z 0 Acquiring second track information E corresponding to the second track; the second track is obtained after connecting each historical middle track corresponding to the target aircraft with the middle track, and the historical middle track is the middle track corresponding to the target aircraft obtained before a preset time period;
s700, according to D, obtaining a similarity list B= (B) between E and each first track information 1 ，B 2 ，……，B g ，……，B G ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein B is g For E and D g Similarity between;
s800, according to B, getTaking the target similarity B max The method comprises the steps of carrying out a first treatment on the surface of the Wherein B is max =max (B), max () is a maximum value determination function;
s900, when B max And when the yaw early warning information is smaller than or equal to a preset first similarity threshold value d, sending yaw early warning information to a server corresponding to the target aircraft.
The invention has at least the following beneficial effects:
acquiring navigation point information corresponding to a preset aircraft track of a target aircraft by acquiring an aviation route information list corresponding to a preset aviation route network, acquiring a first track information list corresponding to a first track according to the navigation point information, further acquiring a longitude and latitude coordinate list of a track point corresponding to the target aircraft in a preset time period, performing road network matching on the longitude and latitude coordinates based on the aviation route information list, acquiring middle track information corresponding to a middle track, acquiring second track information corresponding to a second track according to the middle track information, acquiring a similarity list between the second track information and each first track information, acquiring the maximum value in the similarity list as target similarity, and transmitting yaw early warning information to a server corresponding to the target aircraft when the target similarity is smaller than or equal to a preset first similarity threshold. The longitude and latitude data of the target aircraft are acquired in real time to carry out road network matching, the similarity between the second track information obtained after matching and the historical navigation track is calculated, whether the target aircraft is yawed is judged, the situation that the target aircraft is yawed due to special conditions after taking off is avoided, a user cannot find and process the yaw in time is avoided, the acquired longitude and latitude coordinates of the target aircraft are processed by using road network matching, the accuracy is improved, and misjudgment on the navigation track of the target aircraft is avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for early warning of yaw of an aircraft track according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to fall within the scope of the invention.
The invention provides a method for pre-warning yaw of an aircraft track, which is shown in fig. 1 and comprises the following steps:
s100, acquiring an aviation route information list A= (A) corresponding to a preset aviation road network 1 ，A 2 ，……，A i ，……，A m ) I=1, 2, … …, m, m is the number of aviation route information corresponding to the preset aviation road network; the method comprises the steps of presetting aviation route information A corresponding to an ith aviation route in an aviation route network i =（DA i1 ，DA i2 ），DA i1 Identify for the start navigation point of the ith airline route, DA i2 And identifying the termination navigation point of the ith aviation route.
Specifically, the aviation route of the aviation road network is a route formed between two navigation points.
Further, the aviation route of the aviation road network is a route formed between two adjacent navigation points.
In the embodiment of the invention, the aviation line information list A is obtained through the following steps:
s101, obtaining a navigation point information list corresponding to each target track to obtain a navigation point information list set S= (S) 1 ，S 2 ，……，S f ，……，S F ) F=1, 2, … …, F being the number of target tracks; wherein, the navigation point information list S corresponding to the f-th target track f =（S f1 ，S f2 ，……，S fq ，……，S fQ（f） ) Q=1, 2, … …, Q (f) being the number of navigation points corresponding to the f-th target track, navigation point information S of the Q-th navigation point in the f-th target track fq =（QS fq ，XS fq ），QS fq The navigation point mark for the (q) th navigation point in the (f) th target track, XS fq Is QS fq Corresponding navigation sequence numbers, wherein the target track comprises: the planned travel track corresponding to each aircraft and the historical actual travel track corresponding to each aircraft.
And S103, connecting the navigation points in the same target track according to the sequence of the navigation point sequence numbers from large to small, and determining an aviation route information list A.
Specifically, the navigation points in the same target track can be connected according to the sequence of the serial numbers of the navigation points from small to large, so that an aviation route information list A is determined.
Further, firstly connecting navigation points corresponding to each target track according to navigation point sequence numbers to generate a navigation network, secondly obtaining aviation route information corresponding to each aviation route by obtaining two navigation points with connecting lines randomly existing in the navigation network as aviation routes, and generating an aviation route information list A.
S200, acquiring navigation point information C= (C) corresponding to a preset aircraft track of a target aircraft 1 ，C 2 ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein C is 1 C, presetting an initial navigation point mark corresponding to the aircraft track 2 And (5) identifying a termination navigation point corresponding to the preset aircraft track.
Specifically, the initial navigation point corresponds to a take-off position of a preset aviation track of the target aircraft; the termination navigation point corresponds to a landing position of a preset aviation track of the target aircraft.
S300, according to C, a first track information list D= (D) corresponding to the first track is obtained 1 ，D 2 ，……，D g ，……，D G ) G=1, 2, … …, G being the number of first tracks; wherein D is g The first track information corresponding to the g first track is the initial navigation point C 1 And terminateThe navigation point is C 2 Is a historical navigation track of the vehicle.
Specifically, the historical sailing trajectory includes at least: the initial navigation point is C 1 And the termination navigation point is C 2 Is C at the initial navigation point of the planned navigation track 1 And the termination navigation point is C 2 Is a real navigation trajectory of (a).
Further, the historical navigation track is C which is the initial navigation point that can be acquired before the current time 1 And the termination navigation point is C 2 Is a navigation track of the vehicle.
Further, the first track information is a track formed by connecting lines between each navigation point through which the first track passes.
S400, acquiring a longitude and latitude coordinate list W= (W) of a track point corresponding to the target aircraft in a preset time period 1 ，W 2 ，……，W r ，……，W R ) R=1, 2, … …, R is the number of longitude and latitude coordinates of the track point corresponding to the target aircraft obtained in a preset time period; wherein W is r For the longitude and latitude coordinates of the r-th track point corresponding to the target aircraft in the preset time period, W 1 ，W 2 ，……，W r ，……，W R And arranging according to the acquisition time, wherein the ending time of the preset time period is the current time.
In the embodiment of the invention, the longitude and latitude coordinates are obtained through an ADS-B system; every 5-6s, the server corresponding to the target aircraft can receive the target aircraft navigation data transmitted by the ADS-B system, and the target aircraft navigation data at least comprises: the time when the ADS-B receives the navigation data broadcast by the target aircraft corresponds to the longitude and latitude coordinates of the target aircraft.
Specifically, the preset time period can be set by a person skilled in the art according to actual needs, and will not be described herein.
Further, R meets the following condition: r=preset time period/5.
S500, performing road network matching on the W based on the A to obtain a middle corresponding to the middle trackTrack information Z 0 The method comprises the steps of carrying out a first treatment on the surface of the And the middle track is a navigation track obtained by correcting longitude and latitude coordinates of the track point in the W according to the A.
Specifically, each latitude and longitude coordinate in W is matched to the air line in a, which can be understood as matching each latitude and longitude coordinate in W to the air line.
Further, the road network matching algorithm adopts an algorithm corresponding to a hidden Markov model, the observation probability and the state transition probability of each longitude and latitude coordinate on each aviation route are calculated respectively, and under the condition that the longitude and latitude coordinate observation probability is larger than a preset observation probability threshold value, an aviation route corresponding to the maximum value of the state transition probability is selected, and the longitude and latitude coordinates are matched to the obtained aviation route.
Further, the intermediate track is obtained by connecting longitude and latitude coordinates of each matched aviation route according to the sequence from small to large in time.
S600 according to Z 0 Acquiring second track information E corresponding to the second track; the second track is obtained by connecting an intermediate track with each historical intermediate track corresponding to the target aircraft, and the historical intermediate track is the intermediate track corresponding to the target aircraft obtained before a preset time period.
Specifically, the time period for acquiring the longitude and latitude coordinates corresponding to each intermediate track may be the same as or different from the preset time period.
Further, the second track is obtained by connecting each intermediate track in order from small to large according to time.
Further, the second track can be obtained by connecting each intermediate track according to the sequence from the big to the small in time.
S700, according to D, obtaining a similarity list B= (B) between E and each first track information 1 ，B 2 ，……，B g ，……，B G ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein B is g For E and D g Similarity between them.
Specifically, the first track information is subjected to vectorization processing to generate a first track information vector, the second track information is subjected to vectorization processing to generate second track information vectors, and the similarity between each second track information vector and the first track vector is calculated to obtain a similarity list B.
Further, the Euclidean distance is adopted to calculate the similarity between each first track vector and the second track vector.
S800, obtaining target similarity B according to B max The method comprises the steps of carrying out a first treatment on the surface of the Wherein B is max =max (B), max () is a maximum value determination function.
In one embodiment of the present invention, B may also be obtained by the following steps max ：
S801, acquiring a history navigation frequency list CS= (CS) corresponding to a first track 1 ，CS 2 ，……，CS g ，……，CS G ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein CS is g And the historical navigation times corresponding to the g first track.
S802, according to the numerical value decrease, for D 1 ，D 2 ，……，D g ，……，D G Sorting is carried out, and a third track information list W= (W) is obtained 1 ，W 2 ，……，W g ，……，W G ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein W is g And g third track information.
S803, similarity calculation is sequentially carried out on each third track information in the E and the W.
In the embodiment of the invention, the third track information is subjected to vectorization processing to generate third track information vectors, and the similarity between each second track information vector and the third track vector is calculated.
Further, the Euclidean distance is adopted to calculate the similarity between each third track vector and the second track vector.
S804, when obtaining that the similarity is greater than or equal to the preset second similarity threshold d 0 When the key similarity is B max And stopping similarity calculation on the subsequent third track information in the third track information list.
Specifically, d 0 =0.95。
S805, when the similarity between E and each third track information is smaller than d 0 And sending yaw early warning information to a server corresponding to the target aircraft.
And when the key similarity which is larger than or equal to a preset second similarity threshold is obtained, the key similarity is used as the target similarity, and the similarity calculation of the subsequent third track information in the third track information list is stopped. And sequencing the track information according to the historical navigation times, and sequentially carrying out similarity calculation according to the sequencing order and the second track information, so that the second track information is preferentially subjected to similarity calculation with third track information with large historical navigation times, and stopping the similarity calculation when the calculation result is larger than a preset second similarity threshold value, thereby avoiding useless similarity calculation processing and improving the time efficiency.
In another embodiment of the present invention, B may also be obtained by the following steps max ：
S810, when B max When the similarity is smaller than or equal to a preset first similarity threshold D, clustering the D to obtain a fifth track information list set G= (G) 1 ，G 2 ，……，G h ，……，G H ) H=1, 2, … …, H being the number of first track information categories; wherein the h fifth track information list G h =（G h1 ，G h2 ，……，G ht ，……，G hT（h） ) T=1, 2, … …, T (h) being the number of fifth track information in the h th first track information category, G ht Is G h The first track information category may include: the navigation track corresponding to navigation of the aircraft according to the preset planned navigation track, the navigation track corresponding to severe weather when the aircraft starts and the navigation track corresponding to severe weather when the aircraft moves in navigationA navigation track;
s820, acquiring a first priority list Y= (Y) corresponding to G 1 ，Y 2 ，……，Y h ，……，Y H ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein Y is h Is G h Corresponding first priority, Y h Meets the following conditions: y is Y h =w h +T（h）/∑ H h=1 T（h），w b The weight corresponding to the h first track information category;
in the embodiment of the present invention, a person skilled in the art may set w according to actual requirements h For example: w corresponding to fifth track information list containing planned navigation track h W corresponding to a fifth track information list containing navigation tracks changed due to bad weather influence h 。
S830, according to the decreasing number, for Y 1 ，Y 2 ，……，Y h ，……，Y H Sorting is carried out, and a second priority list Y1= (Y1) is obtained 1 ，Y1 2 ，……，Y1 h ，……，Y1 H ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein Y1 h Is the h second priority in Y1;
s840, according to Y, obtaining a sixth track information list set F= (F) 1 ，F 2 ，……，F h ，……，F H ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein Y is h Corresponding sixth track information list F h =（F h1 ，F h2 ，……，F ht ，……，F hT（h） ），F ht Is F h T sixth track information;
s850, carrying out similarity calculation on the E and each piece of sixth track information in a sixth track information list in the F in sequence;
s860, when obtaining the designated similarity greater than or equal to the preset first similarity threshold d, taking the designated similarity as B max And stopping similarity calculation on the sixth track information in the subsequent sixth track information list in the sixth track information list set;
and S870, when the similarity between the E and the sixth track information in the whole sixth track information list is smaller than d, sending yaw early warning information to a server corresponding to the target aircraft.
And when the appointed similarity which is greater than or equal to a preset first similarity threshold is acquired, the appointed similarity is used as the target similarity, similarity calculation is stopped for sixth track information in a subsequent sixth track information list in the sixth track information list, and yaw early warning information is sent to a server corresponding to the target aircraft when the similarity between the second track information and the sixth track information in all the sixth track information lists is smaller than the preset first similarity threshold. The first track information is clustered to obtain a classified fifth track information list, fifth track information in the same fifth track information list is in the same category, a priority value corresponding to each fifth track information is calculated, similarity between the sixth track information and the second track information is calculated according to the order of the priority values from large to small, and further the similarity is calculated orderly instead of being calculated randomly, so that the sixth track information which is larger than a preset first similarity threshold value with the second track information can be found out more quickly, and time efficiency is improved.
S900, when B max And when the yaw early warning information is smaller than or equal to a preset first similarity threshold value d, sending yaw early warning information to a server corresponding to the target aircraft.
Specifically, d=0.95.
Further, the yaw warning information is used for prompting a user that the target aircraft deviates from the route or that the target aircraft does not navigate on the corresponding historical route.
Further, A i Also comprises: DA (DA) i1 Corresponding longitude and latitude coordinates and DA i2 Corresponding longitude and latitude coordinates; d (D) g Comprising the following steps: and D g And the navigation point identifier corresponding to each navigation point corresponding to the first track is overlapped.
In one embodiment of the present invention, in step S900, the following steps may be further included:
s901, when B max When the similarity is smaller than or equal to a preset first similarity threshold d, traversing A to obtain key navigation point information A corresponding to the key navigation points 0 =（SA 0 ，WA 0 ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein SA is 0 For the key navigation point mark corresponding to the key navigation point, WA 0 The longitude and latitude coordinates corresponding to the key navigation points are the longitude and latitude coordinates corresponding to the W R The corresponding longitude and latitude coordinates are closest to the navigation point;
s902, will B max The corresponding first track information is used as fourth track information P 0 ；
S903, when SA 0 And P 0 When the corresponding navigation point identification is the same as one corresponding navigation point identification in the fourth track information, WA is obtained 0 And W is equal to R Distance L between 0 ；
S904, when L 0 And when the yaw early warning information is larger than or equal to a preset distance threshold k, the yaw early warning information is sent to a server corresponding to the target aircraft.
Specifically, k=100 km.
In the embodiment of the invention, when the target similarity is smaller than or equal to the first similarity preset threshold value, the W is acquired R The navigation point with the nearest longitude and latitude coordinates corresponding to the navigation point is obtained to obtain B max Corresponding first track information is used as fourth track information to calculate W 0 The distance from the nearest navigation point in the fourth track, when W 0 When the distance between the navigation point closest to the fourth track and the navigation point is greater than or equal to a preset distance threshold value, yaw early warning information is sent to a server corresponding to the target aircraft, and the situation that the target aircraft which normally runs is misjudged to be yaw is avoided.
According to the method, navigation point information corresponding to a preset aircraft track of a target aircraft is obtained through obtaining an aviation route information list corresponding to a preset aviation route network, a first track information list corresponding to a first track is obtained according to the navigation point information, a longitude and latitude coordinate list of a track point corresponding to the target aircraft in a preset time period is obtained, route network matching is conducted on the longitude and latitude coordinates based on the aviation route information list, middle track information corresponding to a middle track is obtained, second track information corresponding to a second track is obtained according to the middle track information, a similarity list between the second track information and each first track information is obtained, the maximum value in the similarity list is obtained to serve as target similarity, and yaw early warning information is sent to a server corresponding to the target aircraft when the target similarity is smaller than or equal to a preset first similarity threshold. The longitude and latitude data of the target aircraft are acquired in real time to carry out road network matching, the similarity between the second track information obtained after matching and the historical navigation track is calculated, whether the target aircraft is yawed is judged, the situation that the target aircraft is yawed due to special conditions after taking off is avoided, users cannot find and process the target aircraft in time, the acquired longitude and latitude coordinates of the target aircraft are processed by using road network matching, the accuracy is improved, and misjudgment on the navigation track of the target aircraft is avoided.
Embodiments of the present invention also provide a non-transitory computer readable storage medium that may be disposed in an electronic device to store at least one instruction or at least one program for implementing one of the methods embodiments, the at least one instruction or the at least one program being loaded and executed by the processor to implement the methods provided by the embodiments described above.
Embodiments of the present invention also provide an electronic device comprising a processor and the aforementioned non-transitory computer-readable storage medium.
Embodiments of the present invention also provide a computer program product comprising program code for causing an electronic device to carry out the steps of the method according to the various exemplary embodiments of the invention as described in the specification, when said program product is run on the electronic device.
While certain specific embodiments of the invention have been described in detail by way of example, it will be appreciated by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the invention. Those skilled in the art will also appreciate that many modifications may be made to the embodiments without departing from the scope and spirit of the invention. The scope of the invention is defined by the appended claims.
Claims (10)
1. A method for aircraft trajectory yaw warning, the method comprising the steps of:
s100, acquiring an aviation route information list A= (A) corresponding to a preset aviation road network 1 ，A 2 ，……，A i ，……，A m ) I=1, 2, … …, m, m is the number of aviation route information corresponding to the preset aviation road network; the method comprises the steps of presetting aviation route information A corresponding to an ith aviation route in an aviation route network i =（DA i1 ，DA i2 ），DA i1 Identify for the start navigation point of the ith airline route, DA i2 Identifying a termination navigation point of the ith aviation route;
s200, acquiring navigation point information C= (C) corresponding to a preset aircraft track of a target aircraft 1 ，C 2 ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein C is 1 C, presetting an initial navigation point mark corresponding to the aircraft track 2 A termination navigation point mark corresponding to a preset aircraft track is provided;
s300, according to C, a first track information list D= (D) corresponding to the first track is obtained 1 ，D 2 ，……，D g ，……，D G ) G=1, 2, … …, G being the number of first tracks; wherein D is g The first track information corresponding to the g first track is the initial navigation point C 1 And the termination navigation point is C 2 Historical navigation tracks of (a);
s400, acquiring a longitude and latitude coordinate list W= (W) of a track point corresponding to the target aircraft in a preset time period 1 ，W 2 ，……，W r ，……，W R ) R=1, 2, … …, R is the number of longitude and latitude coordinates of the track point corresponding to the target aircraft obtained in a preset time period; wherein W is r For the corresponding r-th track point of the target aircraft in the preset time periodLongitude and latitude coordinates, W 1 ，W 2 ，……，W r ，……，W R Arranging according to the acquisition time, wherein the ending time of the preset time period is the current time;
s500, performing road network matching on the W based on the A to obtain intermediate track information Z corresponding to the intermediate track 0 The method comprises the steps of carrying out a first treatment on the surface of the The middle track is a navigation track obtained by correcting longitude and latitude coordinates of the track point in the W according to the A;
s600 according to Z 0 Acquiring second track information E corresponding to the second track; the second track is obtained after connecting each historical middle track corresponding to the target aircraft with the middle track, and the historical middle track is the middle track corresponding to the target aircraft obtained before a preset time period;
s700, according to D, obtaining a similarity list B= (B) between E and each first track information 1 ，B 2 ，……，B g ，……，B G ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein B is g For E and D g Similarity between;
s800, obtaining target similarity B according to B max The method comprises the steps of carrying out a first treatment on the surface of the Wherein B is max =max (B), max () is a maximum value determination function;
s900, when B max And when the yaw early warning information is smaller than or equal to a preset first similarity threshold value d, sending yaw early warning information to a server corresponding to the target aircraft.
2. The method according to claim 1, wherein the airline information list a is obtained by:
s101, obtaining a navigation point information list corresponding to each target track to obtain a navigation point information list set S= (S) 1 ，S 2 ，……，S f ，……，S F ) F=1, 2, … …, F being the number of target tracks; wherein, the navigation point information list S corresponding to the f-th target track f =（S f1 ，S f2 ，……，S fq ，……，S fQ（f） ) Q=1, 2, … …, Q (f) being the f-th target track correspondenceNavigation point information S of the qth navigation point in the jth target track fq =（QS fq ，XS fq ），QS fq The navigation point mark for the (q) th navigation point in the (f) th target track, XS fq Is QS fq Corresponding navigation sequence numbers, wherein the target track comprises: planned sailing tracks corresponding to all the aircrafts and historical actual sailing tracks corresponding to all the aircrafts;
and S103, connecting the navigation points in the same target track according to the sequence of the navigation point sequence numbers from large to small, and determining an aviation route information list A.
3. The method of claim 1, wherein B is further obtained by max ：
S801, acquiring a history navigation frequency list CS= (CS) corresponding to a first track 1 ，CS 2 ，……，CS g ，……，CS G ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein CS is g The historical navigation times corresponding to the g first track;
s802, according to the numerical value decrease, for D 1 ，D 2 ，……，D g ，……，D G Sorting is carried out, and a third track information list W= (W) is obtained 1 ，W 2 ，……，W g ，……，W G ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein W is g Is the g third track information;
s803, sequentially carrying out similarity calculation on each third track information in the E and the W;
s804, when obtaining that the similarity is greater than or equal to the preset second similarity threshold d 0 When the key similarity is B max And stopping similarity calculation on the subsequent third track information in the third track information list;
s805, when the similarity between E and each third track information is smaller than d 0 And sending yaw early warning information to a server corresponding to the target aircraft.
4. The method according to claim 1, characterized in thatIn that B can also be obtained by max ：
S810, when B max When the similarity is smaller than or equal to a preset first similarity threshold D, clustering the D to obtain a fifth track information list set G= (G) 1 ，G 2 ，……，G h ，……，G H ) H=1, 2, … …, H being the number of first track information categories; wherein the h fifth track information list G h =（G h1 ，G h2 ，……，G ht ，……，G hT（h） ) T=1, 2, … …, T (h) being the number of fifth track information in the h th first track information category, G ht Is G h The first track information category may include: the navigation track corresponding to navigation of the aircraft according to a preset planned navigation track, the navigation track corresponding to severe weather when the aircraft starts, and the navigation track corresponding to severe weather when the aircraft runs in navigation;
s820, acquiring a first priority list Y= (Y) corresponding to G 1 ，Y 2 ，……，Y h ，……，Y H ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein Y is h Is G h Corresponding first priority, Y h Meets the following conditions: y is Y h =w h +T（h）/∑ H h=1 T（h），w b The weight corresponding to the h first track information category;
s830, according to the decreasing number, for Y 1 ，Y 2 ，……，Y h ，……，Y H Sorting is carried out, and a second priority list Y1= (Y1) is obtained 1 ，Y1 2 ，……，Y1 h ，……，Y1 H ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein Y1 h Is the h second priority in Y1;
s840, according to Y, obtaining a sixth track information list set F= (F) 1 ，F 2 ，……，F h ，……，F H ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein Y is h Corresponding sixth track information list F h =（F h1 ，F h2 ，……，F ht ，……，F hT（h） ），F ht Is F h T sixth track information;
s850, carrying out similarity calculation on the E and each piece of sixth track information in a sixth track information list in the F in sequence;
s860, when obtaining the designated similarity greater than or equal to the preset first similarity threshold d, taking the designated similarity as B max And stopping similarity calculation on the sixth track information in the subsequent sixth track information list in the sixth track information list set;
and S870, when the similarity between the E and the sixth track information in the whole sixth track information list is smaller than d, sending yaw early warning information to a server corresponding to the target aircraft.
5. The method of claim 1, wherein a i Also comprises: DA (DA) i1 Corresponding longitude and latitude coordinates and DA i2 Corresponding longitude and latitude coordinates; d (D) g Comprising the following steps: and D g A navigation point identifier corresponding to each navigation point corresponding to the first track superposition;
in step S900, the following steps may be further included:
s901, when B max When the similarity is smaller than or equal to a preset first similarity threshold d, traversing A to obtain key navigation point information A corresponding to the key navigation points 0 =（SA 0 ，WA 0 ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein SA is 0 For the key navigation point mark corresponding to the key navigation point, WA 0 The longitude and latitude coordinates corresponding to the key navigation points are the longitude and latitude coordinates corresponding to the W R The corresponding longitude and latitude coordinates are closest to the navigation point;
s902, will B max The corresponding first track information is used as fourth track information P 0 ；
S903, when SA 0 And P 0 When the corresponding navigation point identification is the same as one corresponding navigation point identification in the fourth track information, WA is obtained 0 And W is equal to R Distance L between 0 ；
S904, when L 0 And when the yaw early warning information is larger than or equal to a preset distance threshold k, the yaw early warning information is sent to a server corresponding to the target aircraft.
6. The method of claim 5, wherein k = 100km.
7. The method of claim 1, wherein d = 0.95.
8. A method according to claim 3, wherein d 0 =d。
9. A non-transitory computer readable storage medium having stored therein at least one instruction or at least one program loaded and executed by a processor to implement the method of any one of claims 1-8.
10. An electronic device comprising a processor and the non-transitory computer readable storage medium of claim 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310346485.9A CN116052482B (en) | 2023-04-03 | 2023-04-03 | Method for early warning of aircraft track yaw, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310346485.9A CN116052482B (en) | 2023-04-03 | 2023-04-03 | Method for early warning of aircraft track yaw, electronic equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116052482A true CN116052482A (en) | 2023-05-02 |
| CN116052482B CN116052482B (en) | 2023-06-23 |
Family
ID=86125919
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310346485.9A Active CN116052482B (en) | 2023-04-03 | 2023-04-03 | Method for early warning of aircraft track yaw, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116052482B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116363908A (en) * | 2023-06-02 | 2023-06-30 | 中航信移动科技有限公司 | Flight track yaw detection method, electronic equipment and storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102819966A (en) * | 2012-09-10 | 2012-12-12 | 南京航空航天大学 | Off-course flight passing time forecasting method based on radar tracks |
| 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 |
| US20180274929A1 (en) * | 2016-04-06 | 2018-09-27 | Hitachi, Ltd. | Moving body management system and method |
| 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 |
| 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 |
| CN113607170A (en) * | 2021-07-31 | 2021-11-05 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | Real-time detection method for track deviation behavior of air and sea target |
| US20220122470A1 (en) * | 2020-10-15 | 2022-04-21 | Beihang University | 4-dimensional trajectory regulatory decision-making method for air traffic |
| CN115148053A (en) * | 2022-06-29 | 2022-10-04 | 沃飞长空科技(成都)有限公司 | Aircraft early warning method and device, terminal device and storage medium |
| CN115759033A (en) * | 2022-11-21 | 2023-03-07 | 厦门海兰寰宇海洋信息科技有限公司 | Method, device and equipment for processing track data |
-
2023
- 2023-04-03 CN CN202310346485.9A patent/CN116052482B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102819966A (en) * | 2012-09-10 | 2012-12-12 | 南京航空航天大学 | Off-course flight passing time forecasting method based on radar tracks |
| US20180274929A1 (en) * | 2016-04-06 | 2018-09-27 | Hitachi, Ltd. | Moving body management system and method |
| 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 |
| 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 |
| US20220122470A1 (en) * | 2020-10-15 | 2022-04-21 | Beihang University | 4-dimensional trajectory regulatory decision-making method for air traffic |
| 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 |
| CN113607170A (en) * | 2021-07-31 | 2021-11-05 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | Real-time detection method for track deviation behavior of air and sea target |
| CN115148053A (en) * | 2022-06-29 | 2022-10-04 | 沃飞长空科技(成都)有限公司 | Aircraft early warning method and device, terminal device and storage medium |
| CN115759033A (en) * | 2022-11-21 | 2023-03-07 | 厦门海兰寰宇海洋信息科技有限公司 | Method, device and equipment for processing track data |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116363908A (en) * | 2023-06-02 | 2023-06-30 | 中航信移动科技有限公司 | Flight track yaw detection method, electronic equipment and storage medium |
| CN116363908B (en) * | 2023-06-02 | 2023-08-04 | 中航信移动科技有限公司 | Flight track yaw detection method, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116052482B (en) | 2023-06-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110992733B (en) | Online detection method and device for flight deviation from normal track behavior | |
| CN116052482B (en) | Method for early warning of aircraft track yaw, electronic equipment and storage medium | |
| CN112396872B (en) | Airplane yaw judging method and device based on computer flight plan CFP data and storage medium | |
| CN111332296A (en) | Prediction of lane change for other vehicles | |
| CN112833903B (en) | Track prediction method, device, equipment and computer readable storage medium | |
| Mahboubi et al. | Learning traffic patterns at small airports from flight tracks | |
| CN111984018A (en) | Automatic driving method and device | |
| US11529951B2 (en) | Safety system, automated driving system, and methods thereof | |
| EP3915851B1 (en) | System and method for estimating take-over time | |
| CN113901951A (en) | Unmanned ship self-identification and obstacle avoidance method and device | |
| CN116430375A (en) | Multi-sensor fusion multi-target tracking method and corresponding system | |
| CN108733042B (en) | Target tracking method and device for automatic driving vehicle | |
| Park et al. | Object detection in adaptive cruise control using multi-class support vector machine | |
| Bonnin et al. | Accurate behavior prediction on highways based on a systematic combination of classifiers | |
| CN112562419B (en) | Off-line multi-target tracking-based weather avoidance zone setting method | |
| US10522032B2 (en) | Driving-state data storage apparatus | |
| CN113119999A (en) | Method, apparatus, device, medium, and program product for determining automatic driving characteristics | |
| CN114771533A (en) | Control method, device, equipment, vehicle and medium for automatic driving vehicle | |
| KR20220153708A (en) | Method for Controlling Controller of Vehicle And Vehicle Integrated Controller Therefor | |
| CN113654557A (en) | Alternative transition track generation method and computer readable storage medium | |
| Fang et al. | Evaluation Model of Ship Berthing Behavior Based on AIS Data | |
| Sarker et al. | A Data Change Rule Based Empirical Framework for Labeling Unlabeled Time Series Driving Data | |
| RU2780081C1 (en) | Vessels safe passing prediction system | |
| CN114333420A (en) | AIS data-based channel navigation safety early warning method | |
| CN116859956B (en) | Unmanned ship navigation route determining method, unmanned ship navigation route determining device and unmanned ship navigation route determining equipment |
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 |