CN112349148B - Frequency processing device and method for temporary air routes of airlines - Google Patents
Frequency processing device and method for temporary air routes of airlines Download PDFInfo
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- CN112349148B CN112349148B CN202011146054.0A CN202011146054A CN112349148B CN 112349148 B CN112349148 B CN 112349148B CN 202011146054 A CN202011146054 A CN 202011146054A CN 112349148 B CN112349148 B CN 112349148B
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Abstract
An airline temporary route frequency processing apparatus includes: the ADS-B message persistence module receives the ADS-B original message, splits and analyzes the ADS-B original message into meaningful fields, and persistently stores the meaningful fields in a database; the temporary flight segment data preparation module constructs an actual flight track by using ADS-B data with the help of a flight path fitting algorithm, identifies flight segments which do not fly according to a plan, and marks non-basic flight segments; adopting a flight identification module of the temporary flight segment, and screening out a flight path which accords with the characteristics of the temporary flight segment through two different filtering rules; the route storage module containing the temporary route section constructs a data set of the route containing the temporary route section in the fitting result and the corresponding plan data respectively, and stores the data set into a database in a lasting manner; the positioning identification storage module of the temporary navigation segment is used for positioning and identifying a starting point and an end point of the temporary navigation segment in the navigation path and separately storing the starting point and the end point into a new data set; and the temporary flight section counting module counts the service condition of the temporary flight section from the dimensions of use frequency, long flying time and distance saving.
Description
Technical Field
The invention relates to the technical field of civil aviation airspace data processing, in particular to a device and a method for processing the frequency of temporary air routes of an airline company, and provides a basis for saving the operation cost and obtaining greater economic benefits for the airline company.
Background
The route flight phase is the phase which takes the longest time in the whole flight process, and the economy of route selection greatly influences the economy of the whole flight. The selection of the flight route of an airline company is limited, and the practical significance of saving the cost in the actual operation of researching how to efficiently utilize the temporary route is realized. The temporary route refers to the whole route of the flight adopting the temporary route segment during the flight. The temporary flight segment is understood to be a flight segment that is not present in the route information table in the information data, and the flight distance of the aircraft using the temporary flight segment is generally shorter than the planned flight distance. The premise of the research in this aspect is that big navigation data is accurate; the secondary data is continuous and complete, and short-term sample data has no reference value. And broadcast automatic dependent surveillance (ADS-B) as a new generation of surveillance technology can meet the requirements of this research.
ADS-B is determined by the international civil aviation organization and is a future main monitoring technology greatly promoted in China, the advanced technologies such as satellite navigation, communication technology, airborne equipment, ground equipment and the like are combined, a safer and more efficient air traffic monitoring means is provided, the operation situation perception capability of controllers and pilots can be effectively improved, the monitoring coverage range is expanded, and the air traffic safety level, the airspace capacity and the operation efficiency are improved. Civil aviation data communication Limited liability company has been deeply cultivated in the ADS-B field, not only can more than one hundred stations be built in the country, but also is a construction unit of ADS-B first-level data centers in eastern regions. By means of the inherent advantages of the civil aviation data communication Limited liability company in ADS-B data acquisition, big data research in the field of airway flight can be developed, an airline company is assisted to select a more economic temporary airline, and the economic benefit of the airway stage is assisted to be improved.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a frequency processing device for temporary air routes of an airline company, which provides a basis for saving operation cost and obtaining greater economic benefit for the airline company.
The technical scheme of the invention is as follows: this kind of frequency processing apparatus of airline temporary route, it includes:
the ADS-B message persistence module receives the ADS-B original message, splits and analyzes the ADS-B original message into meaningful fields, and persistently stores the meaningful fields in a database;
the temporary flight segment data preparation module constructs an actual flight track by using ADS-B data by means of a flight path fitting algorithm, further identifies flight segments which do not fly according to a plan, and marks non-basic flight segments in the flight segments;
adopting a flight identification module of the temporary flight segment, and screening out a flight path which accords with the characteristics of the temporary flight segment through two different filtering rules;
the route storage module containing the temporary route section constructs data sets of the route containing the temporary route section in the fitting result and the corresponding plan data respectively and stores the data sets into a database in a persistent mode;
the positioning identification storage module of the temporary navigation segment is used for positioning and identifying a starting point and an end point of the temporary navigation segment in the navigation path and separately storing the starting point and the end point into a new data set;
and the statistical module of the temporary flight section is used for counting the service condition of the temporary flight section from the dimensionalities of the use frequency, the flight time and the distance saving.
According to the method, an ADS-B message persistence module, a temporary flight segment data preparation module, a flight identification module adopting a temporary flight segment, a route storage module containing the temporary flight segment, a positioning identification storage module of the temporary flight segment and a statistical module of the temporary flight segment are used for establishing a track model of each airline company adopting the temporary flight path, studying and judging flight efficiency, comparing key indexes inside the airline company and between the company and defining difference, and providing a basis for saving operation cost and obtaining greater economic benefit for the airline company.
The method for processing the frequency of the temporary air routes of the airlines comprises the following steps:
(1) receiving an ADS-B original message, splitting and analyzing the ADS-B original message into meaningful fields, and persistently storing the meaningful fields in a database;
(2) executing a route fitting algorithm, identifying a route section which does not fly according to a plan, and marking the route section of the non-basic route;
(3) screening out the air routes which accord with the characteristics of the temporary flight sections through two different filtering rules;
(4) constructing data sets of the routes containing the temporary flight sections in the fitting results and the corresponding plan data respectively, and storing the data sets into a database in a persistent mode;
(5) positioning and identifying a starting point and an end point of the temporary flight segment in the air route, and independently storing the starting point and the end point into a new data set;
(6) and counting the use condition of the temporary flight section from the dimensions of use frequency, long flight time and distance saving.
Drawings
FIG. 1 is a schematic structural diagram of an airline temporary route frequency processing device according to the present invention;
FIG. 2 is a schematic structural diagram of an ADS-B message persistence module according to the present invention;
FIG. 3 is a block diagram of a temporary leg data preparation module according to the present invention;
FIG. 4 is a schematic structural diagram of a flight identification module using a temporary leg according to the present invention;
FIG. 5 is a schematic structural diagram of a route storage module including temporary route segments according to the present invention;
FIG. 6 is a schematic structural diagram of a temporary leg positioning, identifying and storing module according to the present invention;
FIG. 7 is a schematic diagram of a statistical block structure of the temporary leg according to the present invention;
FIG. 8 is a flowchart of the operation of the ADS-B message persistence module;
FIG. 9 is a flowchart of the operation of the temporary leg data preparation module;
FIG. 10 is a flow chart of the operation of the flight identification module using the temporary leg;
FIG. 11 is a flowchart of the operation of the route storage module including the temporary leg;
FIG. 12 is a flowchart of the operation of the location identification storage module for the temporary leg;
FIG. 13 is a flowchart of the operation of the statistics module for the temporary leg;
FIG. 14 shows a scenario corresponding to the path from step e7 to step e 8;
FIG. 15 shows a scenario corresponding to the transition from step e7 to step e 9.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In order to make the description of the present disclosure more complete and complete, the following description is given for illustrative purposes with respect to the embodiments and examples of the present invention; it is not intended to be the only form in which the embodiments of the invention may be practiced or utilized. The embodiments are intended to cover the features of the various embodiments as well as the apparatus steps and sequences for constructing and operating the embodiments. However, other embodiments may be utilized to achieve the same or equivalent functions and step sequences.
As shown in fig. 1, the device for processing the frequency of temporary routes of an airline comprises:
the ADS-B message persistence module receives the ADS-B original message, splits and analyzes the ADS-B original message into meaningful fields, and persistently stores the meaningful fields in a database;
the temporary flight segment data preparation module constructs an actual flight track by using ADS-B data by means of a flight path fitting algorithm, further identifies flight segments which do not fly according to a plan, and marks non-basic flight segments in the flight segments;
adopting a flight identification module of the temporary flight segment, and screening out a flight path which accords with the characteristics of the temporary flight segment through two different filtering rules;
the route storage module containing the temporary route section constructs data sets of the route containing the temporary route section in the fitting result and the corresponding plan data respectively and stores the data sets into a database in a persistent mode;
the positioning identification storage module of the temporary navigation segment is used for positioning and identifying a starting point and an end point of the temporary navigation segment in the navigation path and separately storing the starting point and the end point into a new data set;
and the statistical module of the temporary flight section is used for counting the service condition of the temporary flight section from the dimensionalities of the use frequency, the flight time and the distance saving.
According to the method, an ADS-B message persistence module, a temporary flight segment data preparation module, a flight identification module adopting a temporary flight segment, a route storage module containing the temporary flight segment, a positioning identification storage module of the temporary flight segment and a statistical module of the temporary flight segment are used for establishing a track model of each airline company adopting the temporary flight path, studying and judging flight efficiency, comparing key indexes inside the airline company and between the company and defining difference, and providing a basis for saving operation cost and obtaining greater economic benefit for the airline company.
Preferably, the ADS-B packet persistence module includes:
receiving an ADS-B data unit and receiving an ADS-B original message;
analyzing the ADS-B data unit, and splitting and analyzing the ADS-B data unit into meaningful attribute fields;
and storing the ADS-B data unit, and storing the meaningful attribute fields into the database in a persistent mode.
Preferably, the temporary leg data preparation module includes:
the flight plan preprocessing unit is used for reconstructing a flight plan table and organizing the flight plan into a form of a plurality of records of each flight, so that the efficiency of comparing the follow-up flight plan with the fitting result is improved;
the air route fitting algorithm unit is used for fitting an actual flight path through ADS-B data, storing the actual flight path as a fitted air route result table and identifying air sections which do not fly according to the plan;
and judging and marking the non-basic flight segment units, and identifying and recording non-basic flight segments which do not fly according to the plan.
Preferably, the flight identification module using the temporary leg includes:
the DCT filtering unit screens out non-basic flight sections which do not fly according to the plan from the fitting flight path table through DCT marks;
and the distance filtering unit is used for secondarily screening the air routes containing the temporary flight sections by comparing the actual flight path distance with the planned air route distance.
Preferably, the route storage module including the temporary route segment includes:
constructing a temporary route fitting data set unit, and newly constructing a data set to intensively store flight fitting route records of the temporary flight section;
and constructing a temporary route planning data set unit, and newly establishing a data set to intensively store the flight planning record of the temporary route section.
Preferably, the location identification storage module of the temporary leg comprises:
the starting point identification unit of the temporary flight segment identifies the starting point of the temporary flight segment;
the key point identification unit of the temporary flight segment identifies the end point of the temporary flight segment;
and the storage unit of the temporary flight segment stores the identified fitting record and the plan record of the section from the starting point to the end point as new data sets respectively.
Preferably, the statistical module of the temporary leg includes:
the statistical range parameter transmission unit is used for providing user-defined statistical parameters for a user;
the temporary flight segment extracting and grouping unit extracts records meeting the statistical parameter conditions, extracts the records and groups the records according to the temporary flight segments;
and the multi-dimensional statistical unit is used for counting and generating statistical results according to different elements of the temporary flight section.
The present invention is described in more detail below.
Fig. 1 is a schematic structural diagram of the apparatus of the present invention, including:
and the ADS-B message persistence module 1 is used for receiving the ADS-B original message, splitting and analyzing the ADS-B original message into meaningful fields, and persistently storing the meaningful fields in the database.
And the temporary flight segment data preparation module 2 constructs an actual flight track by using the ADS-B data with the help of a flight path fitting algorithm, further identifies flight segments which do not fly according to the plan, and marks non-basic flight segments.
And (3) screening out the airway conforming to the characteristics of the temporary flight section by adopting the flight identification module 3 of the temporary flight section and two different filtering rules.
And the route storage module 4 containing the temporary route sections is used for constructing data sets of the routes containing the temporary route sections in the fitting result and the corresponding plan data respectively and storing the data sets into a database in a persistent mode.
And the positioning identification storage module 5 of the temporary flight segment is used for positioning and identifying the starting point and the ending point of the temporary flight segment in the air route, and separately storing the starting point and the ending point into a new data set.
And the statistical module 6 of the temporary flight segment is used for counting the service condition of the temporary flight segment from multiple dimensions such as use frequency, flight time, distance saving and the like.
The algorithm is established on the basis of related technologies such as ADS-B technology, big data and the like, is combined with civil aviation flight route routes, is fitted with historical flight data, is used for establishing temporary route models of all airlines, can provide transverse efficiency comparison of internal flights for the airlines, can provide longitudinal efficiency comparison with other airlines, and provides reference basis for airline design of an airline department planning company.
Fig. 2 is a schematic structural diagram of an ADS-B packet persistence module of the present invention, which includes:
an ADS-B receiving data unit 11, configured to receive an ADS-B original message;
the ADS-B data unit 12 is used for splitting and analyzing into meaningful attribute fields;
and an ADS-B data unit 13 for storing the meaningful attribute fields in the database in a persistent manner.
Fig. 3 is a schematic structural diagram of a temporary leg data preparation module according to the present invention, which includes:
the flight plan preprocessing unit 21 is configured to reconstruct a flight plan table, organize the flight plan into a form of multiple records for each flight, and improve the efficiency of comparing the subsequent flight plan with the fitting result;
the air route fitting algorithm unit 22 is used for fitting an actual flight path similar to the form of 'air route point-air route point' through ADS-B data, storing the actual flight path as a fitted air route result table and identifying the air route section which does not fly according to the plan;
and the non-basic flight segment judging and marking unit 23 is used for identifying and recording non-basic flight segments which do not fly according to the plan.
Fig. 4 is a schematic structural diagram of a flight identification module using a temporary leg according to the present invention, where the module includes:
the DCT filtering unit 31 is used for screening out non-basic flight sections which do not fly according to the plan from the fitting flight path table through DCT marks;
and the distance filtering unit 32 is used for secondarily screening the air routes containing the temporary flight sections by comparing the actual flight path distance with the planned air route distance.
FIG. 5 is a schematic structural diagram of a route storage module including a temporary route segment according to the present invention, the module includes:
constructing a temporary route fitting data set unit 41 for newly building a data set to intensively store flight fitting route records of the temporary flight segment;
a temporary route planning dataset unit 42 is constructed for creating a dataset for centrally storing flight plan records for the temporary leg of the flight.
Fig. 6 is a schematic structural diagram of a positioning, identifying and storing module of a temporary leg of the present invention, where the module includes:
a starting point identification unit 51 for identifying a starting point of the temporary leg;
a key point identification unit 52 of the temporary leg, configured to identify an end point of the temporary leg;
and a temporary leg storage unit 53 for storing the identified start-to-end leg fitting record and the identified plan record as new data sets, respectively.
Fig. 7 is a schematic structural diagram of a statistical module of the temporary leg of the present invention, where the statistical module includes:
and the statistical range parameter transmission unit 61 is used for providing user-defined statistical parameters, such as date range, navigation department selection and the like.
And a temporary flight extraction and grouping unit 62 for extracting records meeting the statistical parameter conditions and grouping the records according to the temporary flight.
And the multidimensional statistic module 63 is used for counting and generating a statistic result according to different elements of the temporary flight segment by the system.
FIG. 8 is a detailed working flow of the ADS-B message persistence module:
step a1, receiving ADS-B CAT021 format v2.1 version message in seven regions nationwide.
Turning to the next step;
step a2, analyzing the message according to the format specification of CAT021, and splitting meaningful fields such as longitude and latitude, height, speed, heading and the like. Turning to the next step;
step a 3: and performing fusion processing on ADS-B data from 7 regions, mainly performing deduplication operation. Turning to the next step;
step a 4: and after the processing is finished, storing the data into a database, wherein an HBase database suitable for mass data storage is adopted.
FIG. 9 is a detailed workflow of the temporary leg data preparation module:
step b1, organizing the flight schedule into a structure of multiple records per flight according to the flight description and storing the structure. Turning to the next step;
and B2, fitting the ADS-B data into a form similar to 'waypoint-waypoint' according to flights by using a route fitting algorithm, and storing a fitting route table of a plurality of records of each flight. Turning to the next step;
step B3, try to fetch the next leg of each flight, such as A-B, in order from the fitted route table. Turning to the next step;
and B4, judging whether the flight segment A-B is empty, namely judging whether all the fitted flight segments of the flight are traversed. If yes, indicating that the data preparation work of the flight at the stage is finished; otherwise step b5 is executed.
And step B5, comparing the A-B with the processed flight schedule record, and checking whether the flight passes through the point A in the schedule and flies along the A-B leg. If yes, go to step b 3; otherwise go to step b 6;
step B6, judging whether the A-B section exists in the air route basic situation report. If yes, go to step b 3; otherwise go to step b 7;
and step b7, updating the fitting route table. And adding a mark field 'DCT' for the record corresponding to the A-B section. Meaning a leg marked as "DCT", is a route that is not flying as planned and does not belong to the underlying leg. Turning to step b3, the loop continues.
FIG. 10 is a detailed workflow of the flight identification module using the temporary leg:
and step c1, screening all records with air _ name value of 'DCT' from the fitted route table. Turning to the next step;
and c2, grouping the screened records according to the flightplan _ id, sequencing each group according to seg _ seqno, and storing the result into a data set datasetA, namely storing the fitting result in the data set. Turning to the next step;
and c3, executing circulation on the data set datasetatA, sequentially searching the associated records in the plan table according to each flightplan _ id, and storing the associated records in the data set datasetB according to the sequence of seg _ seqno, namely the data set stores plan data. Turning to the next step;
step c4, comparing the size relation of the flight _ id in the sum of the flight distances in datasetA A and datasetB, if Σ SEG _ DISTANCE (A) <ΣSEG _ DISTANCE (B) + redundancy m, then go to step c6 (the redundancy in the formula can be customized, the algorithm is set to 0). Otherwise go to step c 5;
and c5, turning to the step to explain that the actual flight distance of the flight is longer than the planned flight distance, not considering that the flight adopts the temporary flight segment for flight, and continuing to execute the next loop. Go to step c 3;
and c6, turning to the step to explain that the actual flight distance of the flight is shorter than the planned flight distance, the flight is considered to adopt the temporary flight segment for flight.
FIG. 11 is a detailed workflow of the route storage module including temporary leg:
step d1, copy all fitted leg records in datasetA that are considered flights that fly using the temporary leg into the new dataset datasetDCTA. Turning to the next step;
step d2, copy all flight plan records in datasetB that are considered flights that fly using the temporary leg into the new data set datasetDCTB.
Fig. 12 is a detailed work flow of the positioning, identifying and storing module of the temporary leg, and the overall idea is to find records with different endpoints in two data sets, then find records with the same endpoints on both sides, and finally take the middle record as the temporary leg.
And e1, searching for the flight segment records with the same Start point in the data on both sides of the datasetDCT _ A and the datasetDCT _ B according to the sequence by taking the flightplan _ id as a reference. Turning to the next step;
step e2, circularly comparing the leg records at both sides of datasetDCT _ a and datasetDCT _ B, starting with the record. Turning to the next step;
step e3, determine whether the value of End _ point in the two records is the same. If yes, go to step e2, continue to circulate; otherwise go to step e 3;
step e4, turn to this step to explain that the record position where the first startpoint point matches but the end point does not match is found, mark the record sequence number seq _ a _ start in the datasetDCT _ a and the record sequence number seq _ B _ start in the datasetDCT _ B. Turning to the next step;
step e5 marks the end point Value of the record in datasetDCT _ a as Value mark.
Turning to the next step;
step e6, loop down to fetch the next record in datasetDCT _ B, starting with the record seq _ B _ start. Turning to the next step;
and e7, judging whether the taken record is null. If not null, go to step e8, otherwise go to step e 9. The scenario corresponding to the path from step e7 to step e8 can be summarized as fig. 14: the right hand side indicates that several legs are required for the planned flight from point a to point B, and the left hand side indicates that a straight flight is actually used.
And the scenario corresponding to the transition from step e7 to step e9 can be summarized as fig. 15: the right side shows that the plan to fly from point a to point B requires route one, while the other route two is actually taken.
Step e8, determine whether the End _ point Value in the retrieved record is equal to Value _ mark. If not, turning to step e6, continuing to circulate, otherwise, finding 2 records with the same starting point and different ending points in the data set, and turning to step e 10;
step e9, take the next record in the datasetDCT _ A, record its sequence number seq _ A _ end, and set its end _ point Value as Value _ mark. Go to step e 6;
step e10 marks the sequence number seq _ B _ end of this record in datasetDCT _ B. Turning to the next step;
step e11, regarding the record corresponding to seq _ A _ start to seq _ A _ end in datasetDCT _ A as a temporary flight, and storing the temporary flight in the new data set datasetDCT _ A _ final; and taking the record from seq _ B _ start to seq _ B _ end in the datasetDCT _ B as the planned route corresponding to the temporary leg, and storing the record into the new data set datasetDCT _ B _ final. Turning to the next step;
step e12, storing the temporary flight segment in the datasetDCT _ A _ final and datasetDCT _ B _ final with the same unique identifier.
Fig. 13 is a detailed workflow of the statistics module of the temporary leg:
and f1, extracting each temporary leg in a selected time range (such as 1 month, which can be referred to) from the datasetDCT _ A. Turning to the next step;
step f2, grouping the extracted records by temporary leg (same start and end points) and then by unique identifier. Then, turning to a plurality of steps, synchronously executing: f3, f4, f6, f12 and f 17;
and f3, counting the number of the unique identifiers which are not repeated for the same temporary navigation section, and regarding the number freq _ A of the temporary navigation section.
And f4, calculating the difference between the TOD ending time of the ending point and the TOD starting time of the starting point of each temporary flight segment. Turning to the next step;
and f5, grouping according to the temporary flight sections, taking the average value of the difference values of the start time and the stop time of the same group, and regarding the average time length of the flight passing through the flight sections.
And f6, calculating the distance between the ending point and the starting point of each temporary flight segment, reading the distance values between the two points recorded in the flight segment, and summing to obtain the distance value. Turning to the next step;
and f7, grouping according to the temporary flight segments, taking the summation average value of the starting distances and the stopping distances of the same group as the average flying distance Dis _ ave _1 passing through the flight segments. Turning to the next step;
and f8, searching the corresponding record in the datasetDCT _ B _ final according to the unique identifier of the temporary flight segment. Turning to the next step;
step f9, the sum average is also performed on each recorded distance field value, and the result is regarded as the average flight distance of the temporary leg that is not flown straight. Turning to the next step;
step f10, the sum average is also performed on each recorded distance field value, and the result is considered as the average flying distance Dis _ ave _ 2. Turning to the next step;
in step f11, the value (Dis _ ave _2-Dis _ ave _1) is regarded as the average saving distance.
Step f12, extract all flight numbers flying through each temporary leg. Turning to the next step;
and f13, grouping according to the temporary flight sections, and taking the flight numbers of the same group. Turning to the next step;
and f14, grouping the flight numbers of the same group, and arranging the flight numbers in descending order according to the occurrence times. Turning to the next step;
and f15, taking the flight numbers of the first three in sequence, and listing the flight numbers as the first three flights with the most frequency using the temporary leg. Turning to the next step;
and f16, taking the airline company corresponding to the flight number to obtain the airline company condition with the most frequent use of the temporary flight segment.
And f17, searching all records in the fitting route table passing through the starting point and the end point of each temporary route segment. Turning to the next step;
and f18, counting the number of non-repeated flightplan _ ids in the records, and regarding the number as freq _ B of the temporary flight section which does not fly straight. Turning to the next step;
and f19, taking a value (freq _ A/freq _ B), namely, considering the ratio of the use frequency of the temporary route.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications, equivalent variations and modifications made to the above embodiment according to the technical spirit of the present invention still belong to the protection scope of the technical solution of the present invention.
Claims (3)
1. Frequency processing apparatus of airline temporary route, its characterized in that: it includes:
the ADS-B message persistence module receives the ADS-B original message, splits and analyzes the ADS-B original message into meaningful fields, and persistently stores the meaningful fields in a database, wherein the meaningful fields comprise longitude and latitude, height, speed and course;
the temporary flight segment data preparation module constructs an actual flight track by using ADS-B data by means of a flight path fitting algorithm, further identifies flight segments which do not fly according to a plan, and marks non-basic flight segments in the flight segments;
adopting a flight identification module of the temporary flight segment, and screening out a flight path which accords with the characteristics of the temporary flight segment through two different filtering rules;
the route storage module containing the temporary route section constructs data sets of the route containing the temporary route section in the fitting result and the corresponding plan data respectively and stores the data sets into a database in a persistent mode;
the positioning identification storage module of the temporary navigation segment is used for positioning and identifying a starting point and an end point of the temporary navigation segment in the navigation path and separately storing the starting point and the end point into a new data set;
the temporary flight section counting module counts the use condition of the temporary flight section from the dimensions of use frequency, flight time and distance saving;
the temporary leg data preparation module comprises:
the flight plan preprocessing unit is used for reconstructing a flight plan table and organizing the flight plan into a form of a plurality of records of each flight, so that the efficiency of comparing the follow-up flight plan with the fitting result is improved;
the air route fitting algorithm unit is used for fitting an actual flight path through ADS-B data, storing the actual flight path as a fitted air route result table and identifying air sections which do not fly according to the plan;
judging and marking a non-basic flight segment unit, and identifying and recording a non-basic flight segment which does not fly according to a plan;
the flight identification module adopting the temporary flight segment comprises:
the DCT filtering unit screens out non-basic flight sections which do not fly according to the plan from the fitting flight path table through DCT marks, wherein DCT is a route which does not fly according to the plan and does not belong to the basic flight sections;
the distance filtering unit is used for secondarily screening the route containing the temporary route section by comparing the actual route distance with the planned route distance;
the route storage module comprising the temporary route section comprises:
constructing a temporary route fitting data set unit, and newly constructing a data set to intensively store flight fitting route records of the temporary flight section;
constructing a temporary route plan data set unit, and newly establishing a data set to intensively store flight plan records of the temporary flight section;
the positioning, identifying and storing module of the temporary segment comprises:
the starting point identification unit of the temporary flight segment identifies the starting point of the temporary flight segment;
the key point identification unit of the temporary flight segment identifies the end point of the temporary flight segment;
the storage unit of the temporary flight segment stores the identified fitting record and the plan record from the starting point to the end point segment as new data sets respectively;
the statistic module of the temporary flight segment comprises:
the statistical range parameter transmission unit is used for providing user-defined statistical parameters for a user;
the temporary flight segment extracting and grouping unit extracts records meeting the statistical parameter conditions, extracts the records and groups the records according to the temporary flight segments;
and the multi-dimensional statistical unit is used for counting and generating statistical results according to different elements of the temporary flight section.
2. The airline temporary route frequency processing apparatus according to claim 1, wherein: the ADS-B message persistence module comprises:
receiving an ADS-B data unit and receiving an ADS-B original message;
resolving the ADS-B data unit, and splitting and resolving into meaningful fields;
and storing the ADS-B data unit, and storing the meaningful fields into the database in a persistent mode.
3. A frequency processing method of an airline temporary route based on the frequency processing device of the airline temporary route according to claim 1, characterized in that: which comprises the following steps:
(1) receiving an ADS-B original message, splitting and analyzing the ADS-B original message into meaningful fields, and persistently storing the meaningful fields in a database;
(2) executing a route fitting algorithm, identifying a route section which does not fly according to a plan, and marking the route section of the non-basic route;
(3) screening out the air routes which accord with the characteristics of the temporary flight sections through two different filtering rules;
(4) constructing data sets of the routes containing the temporary flight sections in the fitting results and the corresponding plan data respectively, and storing the data sets into a database in a persistent mode;
(5) positioning and identifying a starting point and an end point of the temporary flight segment in the air route, and independently storing the starting point and the end point into a new data set;
(6) and counting the use condition of the temporary flight section from the dimensions of use frequency, long flight time and distance saving.
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