CN115221885B - Method for synthesizing digital aviation information dynamic and static information - Google Patents
Method for synthesizing digital aviation information dynamic and static information Download PDFInfo
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Abstract
The invention discloses a method for synthesizing digital aviation information dynamic and static information, and belongs to the technical field of data processing. The method comprises the following steps: improving the AIXM5.1 data model; creating an aviation entity incidence relation; analyzing the influence of aviation information dynamic information; adjusting the effective time of the static aviation information; and extracting and synthesizing aviation information dynamic and static information. The method can realize the digital processing and synthesis of the aviation information dynamic and static information and improve the processing efficiency of the aviation information.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method for synthesizing digitalized aviation intelligence dynamic information and aviation intelligence static information to form an AIXM5.1 standard XML file.
Background
The aviation information is important basic information for guaranteeing flight safety and aviation operation efficiency and is divided according to an updating period, and the aviation information can be divided into aviation information static information and aviation information dynamic information. The static aviation information describes permanent change of aviation elements, and is distributed once every 28 days; the aviation information dynamic information describes sudden and temporary changes of aviation elements and is released in a telegraph mode in real time. In the past, the aviation information dynamic and static information lacks a uniform format, and cannot be synthesized by an automatic means.
In addition, due to the lack of an aviation information relation model, an effective method for analyzing the influence of aviation information dynamic information is lacked for a long time, the influence range of the aviation information dynamic information can only be analyzed manually according to experience and understanding of civil aviation regulations, so that carelessness is often caused, and the influence on aviation operation and safety is generated.
In recent years, the european aviation security organization introduced an aviation data exchange model (AIXM 5.1) which abstracts various aviation elements into aviation entities and unifies the data structure of aviation information dynamic and static information. AIXM5.1 uses baseline time slice to express static information of aviation intelligence, uses temporary time slice to express dynamic information of aviation intelligence, and the baseline and temporary time slices of the same aviation entity have the same structure. At present, all countries try to design and establish an aviation data automatic processing system according to the standard. However, the AIXM5.1 standard cannot completely meet the actual operation requirements of civil aviation in China and cannot be directly applied to an aviation information automatic processing system in China for the following reasons:
one reason is that the operation of civil aviation in China has certain particularity, the requirements on the type and the attribute of aviation data exceed the range of AIXM5.1 standard data, and contents such as airliner data, beijing 54 coordinates, encrypted coordinates and the like which are specific to the civil aviation in China are not related to the AIXM5.1 standard. Airliners are an important aviation data type specific to civil aviation in China, and are used for specifying flight paths between two cities, but the AIXM5.1 data model has no content. The civil aviation coordinate system of China mainly uses a WGS84 coordinate system, but in order to meet the requirements of military aviation and coordinate confidentiality, the aviation data of China needs to contain WGS84 coordinates, beijing 54 coordinates and encryption coordinates, and aviation elements in an AIXM5.1 standard data model only have one set of coordinates.
The second reason is that the time slice mechanism in AIXM5.1 does not meet the requirement of frequent deferral or redistribution of the effective date of aviation data in China. The civil aviation industry in China is developed at a high speed, the newly-built/modified and expanded airports and the adjustment of the airway/airspace are frequent, and the schedule of each party is difficult to be uniformly coordinated, so that the preset effective time of the aviation information is often adjusted repeatedly, and the effective time of the static information of the aviation information needs to be changed frequently. In the time slice model of AIXM5.1, adjacent baseline time slices of each airline entity must be kept end-to-end, and the effective time for modifying a certain baseline time slice must be adjusted to the effective and ineffective time of the adjacent baseline time slice. The high coupling of the effective time and the ineffective time of the adjacent baseline time slices causes that when the effective time of the aviation data is adjusted in a large scale, the modification logic of the historical, present and future three tenses of the baseline time slices is very complicated and time-consuming, and thus, the design and the use of the aviation information automatic processing system are inconvenient.
The third reason is that the AIXM5.1 standard does not completely define the relationship between aviation entities, and many relationships defined in civil aviation regulations between aviation elements having mutual influence are not represented in the AIXM5.1 data model. The consequence is that when some aviation element is changed, other aviation elements affected by the aviation element cannot be completely listed by means of the AIXM5.1 data model, and manual experience processing is still needed.
Citation document 1: the invention discloses a local coding method, a local coding device and a local coding storage medium of an AIXM data structure, which are disclosed in the specification: CN111783397A. This document describes a method of converting a native aviation entity into an AIXM data structure. Compared with the AIXM data structure conversion method, the AIXM data structure conversion method for the native aviation information has wider range and more meets the actual requirement.
Citation document 2: the full text database (electronic journal) of the Chinese outstanding Master academic thesis, no. 12 20201215, "AIXM-based aviation element coding rules and visualization research". This paper introduces the basic concept of AIXM5.1 and AIXM improvements and the methods of localization and patterning. Compared with the method, the improvement and the localization method of the AIXM5.1 standard are from production practice, the method is more specific, the method better meets the actual operation requirements of civil aviation in China, and the adaptability improvement and the actual application of the AIXM5.1 standard in China are emphatically solved.
Citation document 3: academic papers, maintenance of dynamic information management system of navigation information at three-level nodes, science and technology information of China, no. 6 of 2021. This paper presents a method for manually maintaining static aviation data in a dynamic information management system for aviation (CNMS). The article proposes a method for maintaining static data of airports, predefined airlines and the like in a traditional manual mode in a dynamic information processing system of the underway newspaper. The method cannot establish a unified data model for the aviation information dynamic and static information and cannot realize automatic synthesis and processing of the aviation information dynamic and static information, and the method mainly solves the two problems.
Disclosure of Invention
In order to enable the AIXM5.1 standard to adapt to the specific operation requirements of civil aviation in China and realize efficient synthesis and processing of the dynamic and static information of the aviation information, the invention provides a method for synthesizing the digital dynamic and static information of the aviation information, and the method carries out adaptive improvement on the AIXM5.1 standard so as to enable the standard to meet the actual operation requirements of the civil aviation in China, can automatically analyze the influence range of the aviation information, automatically synthesize the dynamic and static information of the aviation information and realize real-time extraction and processing of the dynamic and static information of the aviation information.
In order to achieve the purpose, the technical scheme of the invention comprises the following steps:
step 1: an improved AIXM5.1 data model, comprising:
improvement 1: and creating an airliner airline data model which comprises airliners, airliner trend, all points of the airliners and 4 aviation entities on the airliner height layer. Each aviation entity corresponds to a UML entity class, and the airliner entity class comprises attributes such as an airliner number, a starting airport, a final airport, a total distance, a minimum safety altitude, a use limiting condition and a UUID; the class of the airliner route trend entity comprises attributes such as an airliner route UUID, an entry point ID, an airway ID and an exit point ID of each airway; all the entity classes of the points of the airliner route comprise attributes such as waypoint ID, magnetic direction, intercept point and the like; the entity classes of the flight route height layer comprise attributes such as a turning point, a height layer and a height condition.
And (3) improvement 2: and the coordinate type is added to support Beijing 54 coordinates and encrypted coordinates. Two attributes, coordinate54 and CoordinateAIP, are added to the entity class GM _ POINT of the AIXM5.1 model.
Improvement 3: and canceling the attribute of the expiration time of the baseline time slice, and canceling the coupling relation between the effective time and the expiration time of the adjacent baseline time slices. The improvement has the advantages that the condition that the effective time of the aviation data is adjusted, besides the effective time of the current baseline time slice is modified, the effective time and the ineffective time of the adjacent baseline time slices and related chain adjustment operations are also modified is avoided, and the efficiency is improved obviously when the effective time of the aviation data is modified in batches. The inconvenience brought by the improvement is that when effective data of an aviation entity at a certain time is extracted, a plurality of baseline time slices are selected, additional query needs to be carried out, and the time slice with the largest effective time is selected. Overall, the reduction in efficiency caused by additional queries is negligible compared to the increased efficiency.
Step 2: creating an aviation entity association relation table, and establishing data model association and business rule association between aviation entities; the data model associations are generated by UUID reference relations of the AIXM5.1 data model, and the business rule associations are generated by aviation intelligence business rules.
Further, step 2 comprises the steps of:
step 2-1: the method comprises the steps of establishing an aviation entity association relation table FeaturePyram, wherein the aviation entity association relation table FeaturePyram comprises 6 fields of an aviation entity Feature, a parent aviation entity ParentFeartureUture, an association identification RelatedUUID, a parent aviation entity association attribute RelatedAttribute, an aviation entity affected attribute AfuedAttribute and an association type RelatedType. Feature represents an aviation entity with an association relationship, parentFearture represents other aviation entities influencing the Feature, relatedUUID represents a specific example of the ParentFearture, relatedAttribute represents an attribute changed in the ParentFearture, afxedAttribute represents an influenced attribute in the Feature, and RelatedType can take the value of UML or RULE and is used for distinguishing whether the association relationship is generated through a UML class diagram or a business RULE.
Step 2-2: establishing data model association: traversing UML class diagrams of all aviation entities in an AIXM5.1 data model, if a primary key Feature0_ UUID of a certain aviation entity Feature0 is referred to by another aviation entity Feature1 as an attribute, inserting a new record into a Feature pyrram table, and respectively assigning 6 fields of Feature, parentFearture, relatideUUID, relatideAttribute, affecteAttribute and RelatideType to Feature1_ Name, feature0_ UUID, feature0_ Availability, feature1_ Availability and UML, thereby establishing an association relationship between the aviation entity Feature0 and the Feature 1; continuing recursive processing of Feature1, searching all aviation entities Feature2 which refer to the primary key Feature1_ UUID of Feature1 as an attribute, establishing an association relationship between the two, and establishing association relationships of all levels of aviation entities of Feature0 by analogy; other aviation entities in the UML class diagram that are not added to the featureparam table are treated in the same way.
Step 2-3: establishing business rule association: business rules among weather standards, availability of airport facilities and navigation facilities and flight program operation standards in three regulations of 'civil aviation information working rule CCAR-175', 'establishment and implementation criterion of minimum standard for civil aviation airport operation AC-97-FS-2011' and 'requirement for all-weather operation of aircraft operator AC-91-FS-2012-16' are extracted, and each business rule is converted into data structures of feed, parentFearture, relatideUID, relatideAttribute, affectedAttribute and RelatideType and stored into a FeatePyram table. The method sets the aviation entity participating in aviation operation as Feature, sets the aviation entity corresponding to the necessary condition for guaranteeing normal operation as ParentFearture, sets the UUID of the ParentFearture as RelatedUUID, sets the working state or condition of the ParentFearture as RelatedAttribute, sets the attribute influenced by the working state or condition of the ParentFearture in the Feature as AffectedAttribute, and sets the RelatedType as RULE. Therefore, the business rules are converted into structured data, and the influence analysis can be automatically carried out by a computer conveniently.
And step 3: after receiving the temporary change information of a certain aviation entity, establishing a temporary time slice of the aviation entity, performing association analysis on the temporary change information by using an aviation entity association relation table, judging other affected aviation entities, and establishing the temporary time slice of the affected aviation entity. When a temporary aviation information change notification issued by an original information providing department is received, converting the notification into an AIXM5.1 temporary time slice, setting an aviation entity corresponding to the temporary time slice as Feature0, setting an Attribute value of an Attribute Attribute0 of which the change occurs as a change value, and setting the rest attributes which are not changed as null; searching all records of which the ParentFearture is equal to Feature0 and the RelatedAttribute is equal to Attribute0 in a FeatUrePyram table, marking the aviation entity corresponding to the records as Feature1 and marking the affected Attribute AfxedAttribute as Attribute1; recursively searching records of which the ParantFearture is equal to Feature1 and the relatedAttribute is equal to Attribute1 in the FeaturePyram table, marking the records corresponding to the aviation entity as Feature (i), and marking the influenced Attribute as Attribute (i); and the search is circulated until no new search result exists. And converting each search result Feature (1 … n) and corresponding Attribute Attribute (1 … n) into a temporary time slice, and completing the influence analysis of temporary change of the aviation entity Feature 0.
And 4, step 4: after receiving the permanent change information of a certain aviation entity, establishing a baseline time slice of the aviation entity, and not processing other baseline time slices adjacent to the baseline time slice. Step 1, improvement 3, above, cancels the dead time of the baseline time slice, no forced coupling exists between adjacent time slices of the aviation entity, and creation or adjustment of the baseline time slice no longer involves the effective dead time adjustment of the adjacent baseline time slice. If the new baseline time slice is established according to the original AIXM5.1 standard, whether an adjacent subsequent time slice (future state) exists or not needs to be judged, and if the adjacent subsequent time slice exists, the expiration time of the new baseline time slice needs to be set as the effective time of the subsequent time slice; then, whether the adjacent preorder time slice (history state) exists is judged, if yes, the failure time of the preorder time slice needs to be changed into the effective time of the newly-built baseline time slice. Modification 3 simplifies these operational flows.
And 5: and after receiving the adjustment information of the permanently changed effective time of a certain aviation entity, modifying the effective time of the corresponding baseline time slice, and not processing other baseline time slices adjacent to the baseline time slice. Step 1, improvement 3, eliminates coupling between the baseline timeslices, and adjusting the effective time of a baseline timeslice does not involve adjustment of other baseline timeslices.
Step 6: and creating time slice tables for all the aviation entities one by one according to the AIXM5.1 data model, and storing the baseline time slice and the temporary time slice of each aviation entity in the same time slice table.
And 7: and traversing all the time slice tables, extracting a base line time slice which is effective at a certain time T and a temporary time slice, and combining to form the synthetic data of the aviation information dynamic and static information at the time T.
Further, step 7 comprises the steps of:
step 701: the extraction time T is acquired from an external input.
Step 702: and traversing the time slice tables of all the aviation entities.
Step 703: and extracting all baseline time slices with the effective time less than or equal to T of the current aviation entity, and marking the baseline time slice with the maximum effective time as BaseLineT. Because the failure time of the baseline time slices is cancelled by the improvement 3 in the step 1, the aviation entity extracts a plurality of baseline time slices at the time T, and only the baseline time slice corresponding to the maximum effective time (closest to the time T) is really effective. Compared with the AIXM5.1 standard method, the method has the advantage that the maximum effective time is queried. The efficiency reduction in querying the maximum effective time is negligible compared to the efficiency improvement when the baseline timeslice is created and adjusted.
Step 704: and extracting the temporary time slices with the effective time less than or equal to T and the failure time greater than T, wherein each aviation entity has at most one temporary time slice at the time T and is marked as TempLineT.
Step 705: and creating a snapshot time slice SnapSlotT, and copying all attributes of the BaseLineT into the SnapSlotT.
Step 706: and if the temporary time slice TempLineT exists, replacing the corresponding attribute value of the SnapShott by the attribute value which is not null in the TempLineT.
Step 707: and storing the SnapShott into a set SnapShotStack, and returning to the step 702.
Step 708: and converting the data in the SnapShotStack into an XML file in the AIXM5.1 format. And at this moment, the synthesis of the aviation information dynamic and static information at the time T is finished. The synthesized data can be used for scenes such as aviation operation monitoring, flight route planning, emergency situation disposal, real-time chart display and the like.
The invention has the following advantages:
the invention aims at the practical requirement of China aviation operation, improves the AIXM5.1 standard a plurality of times, and provides a method for analyzing the influence range of aviation information dynamic information and synthesizing the aviation information dynamic and static information, so that the aviation information dynamic and static information processing efficiency is higher, and the method is more suitable for the automatic processing work of China civil aviation information data.
Drawings
FIG. 1 is a diagram of the main steps of a method for synthesizing aviation information dynamic and static information according to an embodiment of the present invention.
FIG. 2 is a flow chart of a process for synthesizing aviation information dynamic and static information according to an embodiment of the present invention.
FIG. 3 is a schematic diagram of an analysis process of dynamic information influence of aviation intelligence according to an embodiment of the present invention.
FIG. 4 is a diagram illustrating a method for extracting a baseline time slice and a temporary time slice according to an embodiment of the invention.
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.
AIXM5.1 is the current international mainstream aviation data standard, but can not completely meet the actual requirements of China aviation operation, and meanwhile, the method for analyzing aviation information dynamic information influence and efficiently synthesizing aviation information dynamic and static information is lacked at present, so that aviation information digital processing can not be automatically completed.
Based on the above, the application provides a method for synthesizing the digital aviation information dynamic and static information, which can improve the AIXM5.1 standard, can automatically analyze the influence of the aviation information dynamic information, and can efficiently complete the synthesis processing of the aviation information dynamic and static information.
As shown in fig. 1, one embodiment of the present invention comprises the steps of:
step 1: improving the AIXM5.1 data model;
step 2: creating an aviation entity association relation table, and establishing data model association and business rule association between aviation entities;
and step 3: after receiving temporary change information of a certain aviation entity, establishing a temporary time slice of the aviation entity, performing association analysis on the temporary change information by using an aviation entity association relation table, and establishing a temporary time slice of the affected aviation entity;
and 4, step 4: after receiving permanent change information of a certain aviation entity, establishing a baseline time slice of the aviation entity, and not processing other baseline time slices adjacent to the baseline time slice;
and 5: after receiving the adjustment information of the effective time permanently changed by a certain aviation entity, modifying the effective time of the corresponding baseline time slice, and not processing other baseline time slices adjacent to the baseline time slice;
step 6: creating time slice tables for all aviation entities one by one according to the AIXM5.1 data model, and storing the baseline time slice and the temporary time slice of each aviation entity in the same time slice table;
and 7: and traversing all the time slice tables, extracting effective baseline time slices and temporary time slices at a certain time T, and combining to form synthetic data of the aviation information dynamic and static information at the time T.
The detailed flow of the method is shown in fig. 2, and includes:
step 1: an improved AIXM5.1 data model, comprising:
improvement 1: creating an airliner flight data model, creating 4 aviation entities such as flight airline (airliner flight line), flight airlinedirection (airliner flight line trend), flight airlineallpoint (all points of the airliner flight line) and flight airlinelevel (airliner flight line height layer) and corresponding UML entity classes, wherein the flight airline entity classes comprise attributes such as an airliner UUID, an airliner line number FltNum, a start airport and end airport StartAir, a total Distance, a minimum safety height SafetyAltitute and a use Restriction condition Restriction; the FlightAirlineDirection entity class comprises attributes such as a airliner route UUID, an airway entry point EnterPointID, an airway EnrouteID, an airway exit point ExitPointID and the like; the FlightAirlineAllPoint entity class comprises properties such as pointID, magnetic direction MagCourse and intercept point CutPoint; the FlightAirlineLevel entity class comprises attributes such as TransAltPoint transition height, flightLevel height layer and AltCondition height.
And (3) improvement 2: and coordinate types are added to support Beijing 54 coordinates and encryption coordinates. Two attributes, coordinate54 and CoordinateAIP, are added to the entity class GM _ POINT of the AIXM5.1 model.
And improvement 3: the expiration time attribute of the BASELINE TimeSlice is cancelled, and the constraint "exception base" is added to the EndValidTime attribute of the AIXM5.1 abstract entity class Timeslice, and the EndValidTime attribute of the BASELINE TimeSlice is disabled.
Step 2: and creating an aviation entity association relation table FeaturePyram (see table 1), and establishing data model association and business rule association between aviation entities.
Table 1: aviation entity association relation table FeaturePyram
The method specifically comprises the following steps:
step 2-1: the method comprises the steps of establishing an aviation entity association relation table FeaturePyram, wherein the aviation entity association relation table FeaturePyram comprises 6 fields of an aviation entity Feature, a parent aviation entity ParentFeartureUture, an association identification RelatedUUID, a parent aviation entity association attribute RelatedAttribute, an aviation entity affected attribute AfuedAttribute and an association type RelatedType.
Step 2-2: and traversing the AIXM5.1UML class diagram to establish data model association. For example for airport aviation entity AirportHeliport: searching all aviation entities which refer to an airport help main key airport help uuid as attributes in the AIXM5.1UML class diagram, such as Runway, taxiWay taxi, airport hot zone airport spot, airport Apon, service Road and the like, sequentially processing each aviation entity, generating an association relationship and inserting the association relationship into a Featurepyram table. As for Runway: the 6 fields of Feature, parentFearture, relatideUUID, relatideAttribute, affectedAttribute, and RelatideType are assigned to Runway, airportHeliport, airpotHeliportuUUID, airport _ Availability, runway _ Availability, and UML, respectively. Continuing the recursive search for subordinate aviation entities with reference to the RunwayUUID main key, aviation entities such as runway edge light RunwayEdgeLight, runway centerline light RunwayCenterLineLight, runway direction RunwayDirection, runway pavement characteristics, runway logo RunwayMarking and the like can be obtained. As for runwayeedgelight: the 6 fields of Feature, parentFearture, relatideUUID, relatideAttribute, affectedAttribute, and RelatideType are assigned RunwayEdgeLight, runway, runwayUUID, runway _ Availability, runwayEdgeLight _ Availability, and UML, respectively, as shown in the first 3 rows of Table 1. And repeating the steps until all the levels of association relations of the airportorport are added into the FeaturePyram table, and then processing the next aviation entity which does not appear in the FeaturePyram in the UML class diagram.
Step 2-3: business rule association is established, and the minimum takeoff standard (see table 2) in the formulation and implementation criteria of the minimum operating standard of civil aviation airports AC-97-FS-2011 is taken as an example in the embodiment.
Table 2: minimum standard for takeoff
Regulations stipulate rules for the availability of runway light facilities and the minimum takeoff visibility (RVR), wherein the takeoff visibility RVR should be more than 500 m (row 1 in table 2) when all runway lights cannot work normally, and the takeoff visibility RVR should be more than 200/250 m (row 3 in table 2) when runway edge lights and center line lights work normally. This rule is converted to a FeaturePyram data structure, as shown in Table 1, lines 4, 5: the method comprises the steps of setting the aviation entity Feature as the lowest takeoff standard TakeOffMinima, setting the parent aviation entity ParentFeartureas runwayEdgeLine, setting the association identification RelatedUUID as runEdgeLightUUID, setting the parent aviation entity association attribute RelatedAttribute as runEdgeLightAvailability, setting the aviation entity influence attribute AffectedAttribute as RVR _ Value, and setting the association type RelatedType as RULE. The data indicates that the visibility (RVR _ Value) attribute of the takeoff minimum standard (TakeOffMinima) is in regular association with the Availability (RunwEdgeLight _ Availability) attribute of the runway edge light (runwayeedgeline), and if the Availability of the runway edge light is temporarily changed, the takeoff minimum standard is affected, and similarly, the regular association between the departure flight procedure departplc and the takeoff minimum standard TakeOffMinima is established.
And 3, step 3: after receiving the temporary change information of a certain aviation entity, establishing a temporary time slice of the aviation entity, performing association analysis on the temporary change information by using the aviation entity association relation table, judging other affected aviation entities, and establishing the temporary time slice of the affected aviation entity. For example, after receiving temporary change information that a certain runway edge light is suspended for maintenance and the duration of the temporary change information is from 11/15/0/2022 to 12/15/0/2022, a temporary time slice runway edge _ TimeSlice of the runway edge light aviation entity is created, where each attribute value is: runwayEdgeLineUUID is the runway edge light UUID, runwEdgeLight _ Availability is Not _ Available, startValidTime is 2022-11-15 00, endvalidtime is 2022-12-15 00, interpretation is TempDlta, and the remaining attributes are set to null. Then, the influence range of the temporary change is judged, as shown in fig. 3: traversing the FeaturePyram table, searching the record that ParentFearture is equal to RunwayEdgeLine and RelatedAttribute is equal to RunwEdgeLight _ Availability, obtaining the lowest takeoff standard TakeOffMinima of the affected aeronautical entity, wherein the affected attribute is RVR _ Value, and the searching result shows that the visibility attribute of the takeoff standard is affected by whether the runway sidelight works or not. And continuing to recursively search records of which the ParentFearture is equal to TakeOffMinima and the RelatedAttribute is equal to RVR _ Value in the FeaturePyram table, further obtaining a lower-level affected aviation entity departure flight program, wherein the affected attribute is ProcedureAvailability, and the search result shows that the working state attribute of the departure flight program is affected by the visibility attribute of the minimum takeoff standard. From the above results, it can be known that the temporary change of the non-operation of a runway edge light will affect the aviation entities such as the take-off minimum standard, the departure flight program, etc. Respectively creating temporary time slices corresponding to the takeoff minimum standard and the departure flight procedure aviation entity, wherein the StartValidTime and EndValidTime of each temporary time slice are set to be 2022-11-15 00 and 2022-12-15 00.
And 4, step 4: after receiving the permanent change information of a certain aviation entity, establishing a baseline time slice of the aviation entity, and not processing the old baseline time slice of the aviation entity. For example, from 0 at 11/10/2022, the intensity of a runway edge light is permanently changed from level 2 to level 3. Creating a baseline time slice RunwayEdgeLine _ TimeSlice of the runway sidelight aviation entity, wherein the attribute values are respectively as follows: runedgelight _ Level is set to 3, startvalidtime is 2022-11-10 00, interpretation is BASELINE, and the rest of attributes copy the attribute values of the last BASELINE time slice of the runway edge light, and the creation of the BASELINE time slice is completed without modifying the effective and ineffective time of the historical or future BASELINE time slices adjacent to the BASELINE time slice.
And 5: and after receiving the adjustment information of permanently changing the effective time of a certain aviation entity, modifying the effective time of the corresponding baseline time slice, and not processing other baseline time slices adjacent to the baseline time slice. For example, the effective date of the permanent change of the runway edge light intensity is postponed to 0 point of 12/10/2022, the effective time corresponding to the baseline time slice is only changed to 2022-12-10 00, and other baseline time slices do not need to be adjusted.
Step 6: and (4) creating a time slice table of each aviation entity, and storing the runway edge light, the takeoff minimum standard, the baseline of the departure flight program and the temporary time slice created in the steps from the step 3 to the step 5 in the time slice table of each aviation entity.
And 7: and traversing all the time slice tables, extracting a base line time slice which is effective at a certain time T and a temporary time slice, and combining the base line time slice and the temporary time slice to form synthetic data of the aviation information static and dynamic information at the time T, as shown in figure 4. The method specifically comprises the following steps:
step 701: the extraction time T is acquired from external input, and for example, T =2022-11-22 is set from synthetic data of the aviation information static and dynamic information at time 2022-11-22.
Step 702: and traversing the time slice tables of all the aviation entities.
Step 703: and extracting all the baseline time slices with the effective time less than or equal to 2022-11-22 of the current aviation entity. For runway sidelight aviation entities, a total of two baseline timeslices are extracted: the baseline time slice 1 (effective time 2022-06-17 00) and the baseline time slice 3 (effective time 2022-10-25 00).
Step 704: extracting a temporary time slice with the effective time being less than or equal to 2022-11-22 15 and the failure time being greater than 2022-11-22, wherein the temporary time slice 1 of the runway edge light aeronautical entity meets the condition and is marked as TempLineT.
Step 705: and creating a snapshot time slice SnapSlotT, and copying all the attributes of the BaseLineT into the SnapSlotT.
Step 706: and replacing the corresponding attribute value of the SnapShott by the attribute value which is Not empty in the TempLineT, and replacing the RunwEdgeLight _ Availability attribute of the SnapShott by Not _ Available from Normal.
Step 707: and storing the SnapShotT into the set SnapShotStack, and returning to the step 702 to extract the snapshot time slices of other aviation entities.
Step 708: and converting the data in the SnapShotStack into an XML file in the AIXM5.1 format. At this point, the synthesis of the aviation information dynamic and static information at the time 2022-11-22-00 is completed. The synthesized data can be used for scenes such as aviation operation monitoring, flight route planning, emergency situation disposal, real-time chart display and the like.
The above description is only one embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications, equivalent changes and modifications made to the above embodiments according to the technical spirit of the present invention still belong to the protection scope of the technical solution of the present invention.
Claims (2)
1. A method for synthesizing digital aviation information dynamic and static information is characterized by comprising the following steps:
step 1: an improved AIXM5.1 data model, comprising:
improvement 1: establishing an airliner airline data model, wherein the airliner airline data model comprises all points of an airliner airline, the trend of the airliner airline, and 4 aviation entities on an airliner airline height layer;
and (3) improvement 2: increasing coordinate types, and supporting Beijing 54 coordinates and encryption coordinates;
improvement 3: canceling the attribute of the expiration time of the baseline time slice, and canceling the coupling relation between the effective time and the expiration time of the adjacent baseline time slices;
and 2, step: creating an aviation entity association relation table, and establishing data model association and business rule association between aviation entities; the data model association is generated by UUID reference relation of AIXM5.1 data model, and the service rule association is generated by aviation intelligence service rule;
and step 3: after receiving temporary change information of a certain aviation entity, establishing a temporary time slice of the aviation entity, performing association analysis on the temporary change information by using the aviation entity association relation table, judging other affected aviation entities, and establishing the temporary time slice of the affected aviation entity;
and 4, step 4: after receiving permanent change information of a certain aviation entity, establishing a baseline time slice of the aviation entity, and not processing other baseline time slices adjacent to the baseline time slice;
and 5: after receiving the adjustment information of the permanently changed effective time of a certain aviation entity, modifying the effective time of the corresponding baseline time slice, and not processing other baseline time slices adjacent to the baseline time slice;
step 6: creating time slice tables for all aviation entities one by one according to the AIXM5.1 data model, and storing the baseline time slice and the temporary time slice of each aviation entity in the same time slice table;
and 7: traversing all the time slice tables of the aviation entities, extracting a base line time slice which is effective at a certain time T and a temporary time slice, and combining to form synthetic data of aviation information dynamic and static information at the time T, wherein the method comprises the following steps:
step 701: obtaining an extraction time T from external input;
step 702: traversing the time slice tables of all the aviation entities;
step 703: extracting all baseline time slices with the effective time less than or equal to T of the current aviation entity, and marking the baseline time slice with the maximum effective time as BaseLineT;
step 704: extracting all temporary time slices with the effective time less than or equal to T and the failure time greater than T of the current aviation entity, wherein each aviation entity has at most one temporary time slice at the time of T and is marked as TempLineT;
step 705: creating a snapshot time slice SnapSlotT of the current aviation entity, and copying all attributes of the BaseLineT into the SnapSlotT;
step 706: if the temporary time slice TempLineT exists, replacing the corresponding attribute value of the SnapShott with the attribute value which is not empty in the TempLineT;
step 707: the SnapShott is stored in a set SnapShotStack, and the step 702 is returned;
step 708: and converting the data in the SnapShotStack into an XML file in the AIXM5.1 format.
2. The method for synthesizing digitized aeronautical information dynamic and static information according to claim 1, wherein the step 2 comprises the following steps:
step 2-1: establishing an aviation entity association relation table FeaturePyram, wherein the aviation entity association relation table FeaturePyram comprises 6 fields of an aviation entity Feature, a parent aviation entity ParentFeartureUture, an association identification RelatedUUID, a parent aviation entity association attribute RelatedAttribute, an aviation entity influenced attribute AfuedAttribute and an association type RelatedType;
step 2-2: establishing data model association: traversing UML class diagrams of all aviation entities in an AIXM5.1 data model, if a primary key Featur 0_ UUID of a certain aviation entity Featur 0 is referred to by another aviation entity Featur 1 as an attribute, inserting a new record into a FeaturePyram table, and respectively assigning fields of Featur, parentFeatureAddress, relatideUUID, relatideAttribute, afxedAttribute and RelatideType 6 into Feature1_ Name, feature0_ UUID, feature0_ AILABILITY, feature1_ Availability and UML, thereby establishing an association relationship between the aviation entity Feature0 and Feature1; continuing recursive processing of Feature1, searching all aviation entities Feature2 which refer to the primary key Feature1_ UUID of Feature1 as an attribute, and establishing an association relationship between the two, so as to establish the association relationship of all levels of aviation entities of Feature 0; processing other aviation entities which are not added into the FeaturePyram table in the UML class diagram in the same method;
step 2-3: establishing business rule association: business rules among weather standards, availability of airport facilities and navigation facilities and flight program operation standards in three regulations of 'civil aviation information working rule CCAR-175', 'establishment and implementation criterion of minimum standard for civil aviation airport operation AC-97-FS-2011' and 'requirement for all-weather operation of aircraft operator AC-91-FS-2012-16' are extracted, and each business rule is converted into data structures of feed, parentFearture, relatideUID, relatideAttribute, affectedAttribute and RelatideType and stored into a FeatePyram table.
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