CN111965634A - Air traffic control non-relevant monitoring track data synthesis method - Google Patents
Air traffic control non-relevant monitoring track data synthesis method Download PDFInfo
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- CN111965634A CN111965634A CN202010866953.1A CN202010866953A CN111965634A CN 111965634 A CN111965634 A CN 111965634A CN 202010866953 A CN202010866953 A CN 202010866953A CN 111965634 A CN111965634 A CN 111965634A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
- G01S13/50—Systems of measurement based on relative movement of target
- G01S13/58—Velocity or trajectory determination systems; Sense-of-movement determination systems
- G01S13/60—Velocity or trajectory determination systems; Sense-of-movement determination systems wherein the transmitter and receiver are mounted on the moving object, e.g. for determining ground speed, drift angle, ground track
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/20—Instruments for performing navigational calculations
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/74—Systems using reradiation of radio waves, e.g. secondary radar systems; Analogous systems
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/87—Combinations of radar systems, e.g. primary radar and secondary radar
- G01S13/872—Combinations of primary radar and secondary radar
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
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Abstract
The invention discloses a method for synthesizing air traffic control non-relevant monitoring track data. The method is used for processing track multi-turn series (a plurality of track points are linked into a line end to end in time sequence) on a real-time or historical non-relevant monitoring data point track in an air traffic control relevant system to produce a complete flight track of the aircraft. The method mainly comprises the following steps: 1) the data access module is used for realizing the access of the non-relevant monitoring data of the air traffic control; 2) realizing the clustering grouping of the monitoring data point traces through a data grouping clustering module; 3) splicing individual scattered point tracks by a track line splicing module 4) realizing the combination of the track lines which accord with the rules by a track line combining module.
Description
Technical Field
The invention relates to the technical field of air traffic control monitoring data processing.
Background
The existing stage air traffic control monitoring means mainly comprise three types of manual related monitoring, radar monitoring and automatic related monitoring, wherein the radar monitoring is to realize aircraft flight control by adopting radar monitoring, the implementation means is to jointly monitor by primary radar and secondary radar, and monitoring data generated in the process is non-related monitoring data.
The air traffic control non-relevant monitoring data generally refers to primary radar monitoring data, secondary radar monitoring data and the like, and the current situation is that a single aircraft does not necessarily have a unique identifier in the whole flying process, and in many cases, a track number or a secondary code serving as a similar unique identifier is changed or intermediate data is lost for several times in the flying process, so that the historical trail of the single aircraft is divided into multiple sections. In order to shield the current situation that interference of a fixed target and signal jitter caused by echo signal flicker are avoided as much as possible, and the situation that the signal jitter is divided into multiple sections due to secondary code multiplexing is adopted, secondary codes and track numbers are simultaneously used as unique identifiers to perform grouping clustering, discrete jump points are subjected to multiple rounds of screening, splicing and sequencing based on the conditions of distance, direction, time interval and the like, and finally the track lines are combined through indexes of distance, speed, time, motion trend and the like so as to combine a complete flight track of the aircraft. Experiments prove that the integrity and the correctness of track synthesis can be obviously improved by using the algorithm.
Disclosure of Invention
The invention discloses a method for synthesizing air traffic control non-relevant monitoring track data. The method is used for processing track multi-turn series (a plurality of track points are linked into a line end to end in time sequence) on a real-time or historical non-relevant monitoring data point track in an air traffic control relevant system to produce a complete flight track of the aircraft.
The first step is as follows: building air traffic control non-relevant monitoring data track generation system
The air traffic control non-relevant monitoring data track generation system comprises a data access module, a data grouping and clustering module, a track line splicing module and a track line merging module.
The data access module has the functions of: and realizing the access function of empty management of non-relevant monitoring data.
The data grouping and clustering module has the functions of: and realizing the function of monitoring data point trace grouping and clustering.
The function of the trajectory splicing module is as follows: and the splicing function of the special track point and the track line is realized.
The function of the flight path line merging module is as follows: and realizing the merging function of similar flight paths.
The second step is that: access of air traffic control non-relevant monitoring data through data access module
The module is used for setting an access signal host address, a port number, a transmission protocol or an access file path, and then the module is started to access the monitoring data signal.
The third step: clustering grouping of monitoring track points through data grouping and clustering module
And (3) accessing air traffic control non-relevant monitoring data, wherein each batch of flight tracks are provided with flight track numbers and possibly secondary codes, and clustering and grouping are carried out through combination of the flight track numbers and the secondary codes (if the secondary code data is included) to generate a preprocessed flight track table, namely if the flight track numbers and the secondary codes are the same and the updating time and the distance from the previous point are grouped in a certain range, the preprocessing flight track table is sorted according to the time.
For example: the previous point update time is t0, the longitude and latitude coordinates are (x0, y0), the next point update time is t1, and the longitude and latitude coordinates are (x1, y 1).
Time interval of two points: t ═ T1-t0。
Distance between both ends: D.
and if T is smaller than the set time threshold and D is smaller than the distance threshold, the two track points are considered as a group of targets and are divided into a group.
And then, the track number and the secondary code combination are used as keys, and the track group list is used as a value to generate a track table.
The fourth step: individual scattered point track splicing is realized through a flight path line splicing module
And aiming at the point tracks which are not matched in the last step, traversing the tracks in the existing track list by using the batch elimination time interval T and the minimum safe distance D specified by the safe flight distance management of the air aircrafts as the distance judgment indexes of the same batch of aircrafts, matching according to the minimum time interval and the nearest distance principle, splicing the tracks, and generating the flight track line of the monitoring data of the air traffic control aircrafts close to reality.
The fifth step: rule-compliant trajectory merging implemented by trajectory merging module
And sequencing the trajectory lines generated in the last step according to time aiming at historical non-related data (trajectory data files), combining the trajectory lines meeting the indexes sequentially through a distance index D, a speed change index V, a time index T and a motion trend index R, and further synthesizing the flight trajectory lines of the air traffic control aircraft monitoring data which are closer to reality.
By the method, scattered point tracks due to poor signal quality and tracks with changed secondary codes due to control reasons can be combined, so that the complete flight history track of the aircraft can be really restored.
Drawings
FIG. 1 is a schematic flow diagram of the present invention;
FIG. 2 is a schematic diagram of track table generation according to the present invention.
Fig. 3 is a schematic diagram of a track line splicing process according to the present invention.
FIG. 4 is a schematic diagram of a route line merging process according to the present invention.
FIG. 5 is a diagram illustrating the effect of track generation according to the present invention.
Detailed description of the preferred embodiment
In order to make the technical scheme of the invention clearer, the invention will be clearly and completely described below by taking national air traffic control monitoring data (GJB826-4 format) of 9, 7 and 2018 as a sample in combination with the attached drawings of the invention. The method comprises the following specific steps:
step 1: and accessing the national air traffic control monitoring data of 9, 7 and 2018.
Step 2: according to the principle that the combination of the track number and the secondary code is used as grouping identification, track points with the time interval and the distance interval in a conforming range (the distance is less than 0.8 degrees and the time interval is less than 10min) before and after the monitoring data are grouped, and a track table is generated.
And step 3: and respectively comparing and matching the time interval and the distance interval between the route points which do not enter the grouping and the route lines in the route table, and splicing and grouping the scattered route points according to the principle that the time interval is minimum and the distance is nearest to be grouped into a group.
And 4, step 4: and sequencing the trajectory lines generated in the last step according to time, and combining the trajectory lines meeting the indexes sequentially through a distance index D (<0.8 degrees), a speed change index V (<100km/h), a time index T (<10min) and a motion trend index R (<180 degrees) to generate a new trajectory.
Claims (4)
1. A method for synthesizing air traffic control non-relevant monitoring track data comprises the following main steps:
1) realizing the clustering grouping of the monitoring data point traces through a data grouping clustering module;
2) splicing individual scattered point tracks through a flight path splicing module;
3) and merging the air trace lines which accord with the rules through an air trace line merging module.
2. The method for synthesizing air traffic control non-relevant monitoring track data according to claim 1, step 1) is characterized in that the accessed air traffic control non-relevant monitoring data, each batch of tracks are provided with track numbers and possibly secondary codes, and the track numbers and the secondary codes (if containing secondary code data) are combined to carry out clustering grouping to generate a preprocessed track list, namely, if the track numbers and the secondary codes are the same and the updating time and the distance from the previous point are grouped into a group in a certain range, the preprocessed track list is sorted according to the time; if the time interval of the points is smaller than a set time threshold value and the distance is smaller than a distance threshold value, considering that the two track points are a group of targets and dividing the two track points into a group; and then, the track number and the secondary code combination are used as keys, and the track group list is used as a value to generate a track table.
3. The air traffic control non-correlation monitoring track data synthesis method according to claim 1, wherein the step 2) is characterized in that aiming at the point tracks which are not matched, the tracks in the existing track list are traversed by taking the batch elimination time interval DeltaT and the minimum safe distance DeltaD specified by the air aircraft safe flight distance management as the distance judgment indexes of the same batch of aircraft, the matching is carried out according to the minimum time interval and the nearest distance principle, the tracks are spliced, and the air traffic control non-correlation monitoring track data close to the actual flight track of the air traffic control aircraft is generated.
4. The air traffic control non-correlation monitoring track data synthesis method according to claim 1, wherein in step 3), the track lines generated in the last step are sorted according to time aiming at historical non-correlation data (track data files), and the track lines meeting the indexes are combined sequentially through a distance index D, a speed change index V, a time index T and a motion trend index R, so that flight track lines of the air traffic control aircraft monitoring data which are closer to reality are further synthesized.
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