A method and device for sharing airborne intent based on data link

Abstract

The application discloses an airborne intention sharing method and device based on a data chain, which comprises the following steps: performing pre-checking on an airborne intention message received by a data link, filtering out invalid messages, and completing compliance and element integrity verification of valid messages; performing cross-consistency confidence calibration on the airborne intention data that passes the verification, relying on multi-source situation linkage comparison and air-ground procedure coding mapping to improve data reliability; dynamically adjusting intention data collection timing and frequency according to the flight phase of an aircraft, and realizing adaptive collection on demand; and according to a business subject demand label, distributing the airborne intention data to corresponding business subjects, and completing differentiated data sharing. The application considers both airborne data reliability and business adaptability, can dynamically adjust the collection strategy according to the flight state, closes loop to guarantee data quality, and is convenient for each business subject to accurately acquire valid situation data.

Description

Technical Field

[0001] This invention relates to the field of air traffic management, and more particularly to a method and apparatus for sharing airborne intent based on a data link. Background Technology

[0002] Air traffic management, as a core support for civil aviation operations, is widely used in flight scheduling and airspace control. Among related technologies, a surveillance-based situational awareness system has been constructed through the collaboration of radar, Mode S, and flight plans. Specifically, this system covers the entire process from aircraft position parameter acquisition to flight situation prediction, including the monitoring and processing of key parameters such as real-time position, altitude, and speed.

[0003] However, existing surveillance methods, which directly employ radar and Mode S, do not acquire onboard dynamic parameters and intent information. This may result in ground systems being unable to monitor the aircraft's operational status in real time or to anticipate flight conflicts, thereby affecting airspace operational safety. Summary of the Invention

[0004] The present invention aims to at least partially solve one of the technical problems in the related art.

[0005] Therefore, the first objective of this invention is to propose an airborne intent sharing method based on a data link.

[0006] Another object of the present invention is to provide an airborne intent-sharing device based on a data link.

[0007] The third objective of this invention is to provide a computer device.

[0008] A fourth objective of this invention is to provide a non-transitory computer-readable storage medium.

[0009] To achieve the above objectives, a first aspect of the present invention proposes an airborne intent sharing method based on a data link, comprising:

[0010] S1 performs pre-verification on airborne intent messages received via data link, identifies and discards invalid messages, and verifies the data compliance and element integrity of valid messages.

[0011] S2 performs cross-consistency confidence calibration on the verified airborne intent data, and improves data credibility through multi-source situational linkage comparison and air-to-ground program coding mapping;

[0012] S3 dynamically adjusts the timing and frequency of airborne intent data collection according to the flight phase of the aircraft, enabling on-demand data collection;

[0013] S4 distributes airborne intent data to the corresponding business entities based on their demand tags, enabling differentiated sharing.

[0014] In one embodiment of the present invention, S1 includes:

[0015] The system performs abnormal message screening and processing on the airborne intent messages received via data link, identifies and discards invalid messages that are out of format, have abnormal data link communication, or are rejected by airborne equipment, and obtains valid messages.

[0016] The valid messages are checked for data compliance and element integrity to determine whether they conform to the standard message format specifications. The core information of the arrival and departure procedures, approach procedures, take-off and landing runways, and activated routes obtained by parsing and extracting them is matched and compared with the standard procedure code to obtain the verified airborne intent data.

[0017] In one embodiment of the present invention, S2 includes:

[0018] Multi-source situational awareness calibration is carried out by comparing the airborne intent data collected by the data link with the operational status, flight plan, and control instructions of the ground air traffic control system to narrow down the range of usable airborne intent data transmitted by the data link and obtain calibrated airborne intent data.

[0019] To address the inconsistency between the airborne navigation database program code encoding rules, which follow the ARINC 424 standard, and the ground system, an air-to-ground program encoding mapping mechanism is constructed. This mechanism reverse-analyzes the logic used by the airborne end to delete delimiters and truncate duplicate fields due to character limits, and establishes a mapping relationship between the simplified airborne encoding and the complete standard program encoding, thereby obtaining the encoded and mapped airborne intent data.

[0020] In one embodiment of the present invention, S3 includes:

[0021] The intent map is constructed and targeted selection is carried out. Combining the operational attributes and characteristics of the aircraft in each flight phase, the airborne trajectory prediction, flight intent, and flight operation data that can be obtained through the data link in different operational phases are sorted out and identified. A standardized correspondence map of "flight phase - airborne intent" is built, and the targeted and on-demand accurate collection of airborne intent data is completed based on the real-time flight phase of the aircraft.

[0022] It implements intelligent adjustment of collection frequency using multiple strategies, employing a dual-mechanism collaborative approach of dynamic variable frequency collection mode and event-triggered collection mode to flexibly control the collection frequency and timing of airborne intent data.

[0023] In one embodiment of the present invention, it further includes:

[0024] A dynamic variable frequency acquisition mode is adopted, and the basic data acquisition cycle is set according to the current flight phase of the aircraft.

[0025] Based on the deviation between the estimated time of arrival (ETA) and the actual time of arrival (ATA) in the subsequent four-dimensional track profile calculated by the airborne system, and combined with the real-time airspeed of the aircraft to comprehensively analyze the trend of deviation changes, the acquisition interval of the subsequent four-dimensional track profile calculated by the airborne system is adaptively and dynamically adjusted, and the ETA information calculated by the airborne system in real time is simultaneously transmitted back to the ground control system.

[0026] In one embodiment of the present invention, it further includes:

[0027] The event-triggered data acquisition mode is adopted. When the air traffic control department issues control instructions or the aircraft is about to enter a critical flight phase, the onboard intent acquisition is triggered in real time in conjunction with the intent map.

[0028] In one embodiment of the present invention, S4 includes:

[0029] Establish a linkage and matching mechanism between demand tags and data categories, and combine the performance and application needs of various business entities in civil aviation to dynamically identify, accurately match, and intelligently differentiate and distribute and share airborne trajectory prediction, flight intention, and flight operation data collected based on data chains.

[0030] Push flight intention data to air traffic control units;

[0031] Push flight path prediction data to cross-regional air traffic control units along the flight route;

[0032] Push estimated arrival time flight path prediction data to airports;

[0033] The system pushes flight operation data such as cost index, aircraft weight, onboard fuel remaining, and engine operating status to airlines.

[0034] To achieve the above objectives, a second aspect of the present invention provides an airborne intent-sharing device based on a data link, comprising:

[0035] The message pre-verification module is used to pre-verify the airborne intent messages received via data link, identify and discard invalid messages, and verify the data compliance and element integrity of valid messages.

[0036] The data confidence calibration module is used to perform cross-consistency confidence calibration on the verified airborne intent data. It improves data credibility through multi-source situational linkage comparison and air-to-ground program coding mapping.

[0037] The dynamic acquisition and control module is used to dynamically adjust the timing and frequency of airborne intent data acquisition according to the flight phase of the aircraft, so as to achieve on-demand acquisition.

[0038] The differentiated targeted distribution module is used to distribute onboard intent data to the corresponding business entities based on their demand tags, thereby achieving differentiated sharing.

[0039] An embodiment of the present invention provides an airborne intent sharing method and apparatus based on a data link, which can achieve accurate collection and real-time sharing of airborne intent, improve the ability to predict flight conflicts, and enhance data reliability and airspace operation coordination efficiency.

[0040] To achieve the above objectives, a third aspect of this application provides a computer device, including a processor and a memory; wherein the processor runs a program corresponding to the executable program code by reading executable program code stored in the memory, for implementing the method described in the first aspect embodiment.

[0041] To achieve the above objectives, a fourth aspect of this application provides a non-transitory computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the method described in the first aspect.

[0042] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0043] Figure 1 This is a flowchart of an airborne intent sharing method based on a data link according to an embodiment of the present invention;

[0044] Figure 2 This is an architecture diagram of an airborne intent-sharing system based on a data link according to an embodiment of the present invention;

[0045] Figure 3 This is a structural diagram of an airborne intent-sharing device based on a data link according to an embodiment of the present invention;

[0046] Figure 4 It is a computer device according to an embodiment of the present invention. Detailed Implementation

[0047] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0048] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0049] The following description, with reference to the accompanying drawings, describes an airborne intent sharing method and apparatus based on a data link, according to an embodiment of the present invention.

[0050] Figure 1 This is a flowchart of an airborne intent sharing method based on a data link according to an embodiment of the present invention, such as... Figure 1 As shown, it includes:

[0051] S1 performs pre-verification on airborne intent messages received via data link, identifies and discards invalid messages, and verifies the data compliance and element integrity of valid messages.

[0052] Understandably, pre-verification of airborne intent messages received via data links aims to perform preliminary screening and verification of various airborne intent messages transmitted via the air-to-ground data link from the data source end, ensuring that the data entering subsequent processing has basic validity and standardization. This pre-verification process first identifies and handles invalid messages. By determining whether the message format conforms to the basic requirements of the data link communication protocol, whether there are abnormal interruptions or interference in the communication link, and whether the airborne equipment has responded normally and completed data transmission, messages that do not meet the above basic communication and equipment status requirements are identified and discarded. This eliminates invalid data generated from communication failures, equipment malfunctions, or format errors at the source, preventing invalid data from consuming subsequent processing resources or causing misjudgments. Based on this, the valid messages retained after initial screening undergo further data compliance and element integrity checks. Data compliance checks determine whether the message content conforms to the preset standard message format specifications, ensuring that the message structure, field definitions, and encoding rules meet established standards. Element integrity checks verify whether the message contains core information elements required for subsequent intent analysis, such as key data items related to flight procedures, routes, and runways. These elements can be matched against a pre-set standard program code library to verify their accuracy and compliance. As one implementation method, this pre-verification can specifically include: first, identifying and discarding invalid messages generated due to communication anomalies, format inconsistencies, or rejection by airborne equipment based on the data link communication status and message format characteristics; then, performing compliance checks on valid messages to confirm their conformity to the standard message format specifications; and finally, matching and comparing each core information element extracted through parsing, such as arrival and departure procedures, approach procedures, runways, and activated routes, against the standard program code to comprehensively verify the accuracy and compliance of various airborne intent information elements transmitted via the data link.

[0053] Furthermore, the aforementioned pre-verification effectively filters out invalid or abnormal messages, ensuring that the airborne intent data entering subsequent processing stages has basic validity, standardization, and completeness, thereby reducing the risk of errors in subsequent data processing and improving the reliability and accuracy of the overall airborne intent sharing process.

[0054] S2 performs cross-consistency confidence calibration on the verified airborne intent data, and improves data credibility through multi-source situational linkage comparison and air-to-ground program coding mapping;

[0055] Understandably, cross-consistency confidence calibration of verified airborne intent data aims to eliminate ambiguity and uncertainty caused by differences in data sources or inconsistent encoding formats through multi-dimensional data correlation comparison and encoding rule conversion, thereby significantly improving the credibility and usability of airborne intent data. Specifically, this calibration process first involves multi-source situational awareness comparison, comprehensively analyzing the correlation between airborne intent data collected via data link and multi-source information such as operational status, flight plans, and control instructions held by the ground air traffic control system. Utilizing the mutual corroboration and constraint relationships between different information sources, the usable set of airborne intent data is reasonably narrowed, effectively eliminating abnormal data that clearly contradicts ground operational status or is inconsistent with control instructions, thus improving the accuracy and reliability of data verification. Based on this, air-to-ground procedure encoding mapping is further implemented. Addressing the differences in procedure encoding rules between the airborne navigation database and the ground system, a code mapping calibration mechanism is constructed. This involves reverse parsing and restoring the encoding reduction logic used by the airborne end due to character length limitations, establishing a correspondence between the airborne simplified encoding and the complete standard ground procedure encoding, thereby preventing ambiguity caused by inconsistent encoding rules. Figure 1 To prevent errors in semantic recognition and ensure a unified semantic basis for airborne intent data between air and ground systems, this air-to-ground program encoding mapping addresses the issue that airborne navigation databases, which follow ARINC 424 specifications, only support a maximum of 6 characters for program code, differing from the standard program name encoding rules of ground systems. It reverse-parses the logic used by the airborne system to remove delimiters and truncate duplicate fields due to character limits, restoring the encoding format and establishing a mapping relationship between the simplified airborne encoding and the complete standard program encoding. This effectively eliminates semantic errors caused by encoding differences. Figure 1 Inconsistency judgment error.

[0056] Furthermore, through the aforementioned cross-consistency confidence calibration, the credibility and accuracy of airborne intent data can be effectively improved, providing a reliable data foundation for subsequent data link-based flight conflict prediction, control command consistency verification, and multi-agent collaborative decision-making, and significantly reducing operational risks caused by data ambiguity or coding differences.

[0057] S3 dynamically adjusts the timing and frequency of airborne intent data collection according to the flight phase of the aircraft, enabling on-demand data collection;

[0058] Understandably, this method dynamically adjusts the timing and frequency of onboard intent data collection based on the aircraft's flight phase, aiming to achieve on-demand collection of onboard intent data. The core of this method lies in establishing a correspondence between flight phases and the onboard intent data to be collected, based on the operational attributes and characteristics of the aircraft at different flight phases. This determines the specific categories and scope of onboard intent data that need to be acquired via data link in the current flight phase. Based on this, and combined with real-time flight phase information, the timing of onboard intent data collection is precisely controlled in a targeted and on-demand manner, avoiding the collection of long-term data irrelevant or unnecessary to the current operational phase, thereby simplifying the scope and content of data collection. Simultaneously, this method also involves intelligent control of the collection frequency. By combining dynamic adjustment of the collection interval with event-triggered collection, the frequency and timing of onboard intent data collection are flexibly managed. Dynamic adjustment of the collection interval can adaptively adjust the subsequent data collection cycle based on the aircraft's real-time flight status parameters and their changing trends; event-triggered collection can instantly trigger the collection of relevant onboard intent data when specific conditions are met. By coordinating the timing and frequency as described above, the amount of data link interaction messages can be effectively reduced, while ensuring that the ground system can obtain the latest airborne intent information in a timely and accurate manner. As one implementation method, a standardized correspondence map of "flight phase - airborne intent" can be constructed, and a dual-mechanism strategy combining a dynamic variable frequency acquisition mode and an event-triggered acquisition mode can be adopted to achieve the aforementioned on-demand acquisition.

[0059] Furthermore, by dynamically adjusting the timing and frequency of data collection according to the flight phase, this method significantly improves the targeting and efficiency of airborne intent data collection. While effectively reducing the data link communication load, it ensures the real-time nature and accuracy of key intent data, thereby enhancing the overall operational safety level.

[0060] S4 distributes airborne intent data to the corresponding business entities based on their demand tags, enabling differentiated sharing.

[0061] Understandably, after completing the collection and verification of airborne intent data, this step further constructs a linkage and matching mechanism between requirement tags and data categories based on the differentiated performance needs of each business entity. This mechanism distributes the pre-verified and confidence-calibrated airborne intent data to the corresponding business entities, achieving precise and differentiated data sharing. Specifically, by pre-defining requirement tags that match the scope of responsibilities for each type of business entity and establishing a mapping relationship between requirement tags and airborne intent data categories (including trajectory prediction data, flight intent data, flight operation data, etc.), the system can automatically identify the category to which the data to be distributed belongs and push the corresponding data to the corresponding target based on the requirement tags of each business entity. This distribution process does not rely on manual intervention but is automatically executed based on preset matching rules, thereby ensuring that each business entity only receives core information directly related to its business and avoiding redundant transmission of irrelevant data. As one implementation method, flight intent data can be pushed to air traffic control units to support the consistency analysis of control instructions; flight path prediction data can be pushed to cross-regional air traffic control units to support traffic flow coordination; flight path prediction data such as estimated arrival times can be pushed to airports to assist in the overall planning of ground resources; and flight operation data can be pushed to airlines to meet the needs of flight status monitoring and operation scheduling. Through the above mechanisms, this step realizes the on-demand, targeted, and differentiated sharing of airborne intent data from the collection end to the application end, effectively breaking down information barriers between various business ends.

[0062] Furthermore, this step, by constructing a linkage matching mechanism between demand tags and data categories, achieves precise and targeted distribution of airborne intent data, avoids redundant data transmission, significantly improves the relevance and practicality of data sharing, reduces the communication load of the data link, and ensures that each business entity can obtain core information that is highly matched with its performance requirements in a timely manner, thereby improving the overall collaborative efficiency of airspace operations.

[0063] This invention discloses an airborne intent-sharing system based on existing narrowband secure air-to-ground data links, such as... Figure 2 As shown, this method enables accurate collection, verification, timing adaptation, and differentiated sharing of airborne intentions. It breaks down information barriers between air and ground, allowing for the downlink of airborne intentions and improving the efficiency of intention transmission. Figure 1 Improve consistency assessment and airspace operation coordination efficiency, enhance flight safety, and address the shortcomings of the existing air traffic control system.

[0064] It is understood that the airborne intent data specifically includes: trajectory prediction data such as four-dimensional predicted trajectory profiles calculated autonomously by the airborne crew and transmitted in real time via data link; flight intent data such as approach / departure procedures, takeoff / landing runways, approach procedures, and activated routes actually entered by the crew on the airborne terminal based on data link transmission; and flight operation data such as cost index, aircraft weight, remaining fuel, and engine operating status transmitted in real time via data link transmission.

[0065] It is understood that the embodiments of the present invention include modules for pre-verification of airborne intent messages, cross-consistency confidence calibration, dynamic control of execution timing, and multi-entity intelligent intent distribution and sharing. This method relies on a secure air-to-ground data link. Through the pre-verification module for airborne intent messages, it pre-screens and verifies transmitted data to ensure the effectiveness and standardization of data transmission. With the help of the cross-consistency confidence calibration module, it enhances data credibility through multi-source data linkage and program code mapping. Through the dynamic control module for execution timing, it achieves on-demand collection and intelligent frequency control of airborne intents in conjunction with flight operation phases. Relying on the multi-entity intelligent intent distribution and sharing module, it pushes relevant data in a targeted manner according to the performance needs of various civil aviation business entities, achieving precise and differentiated data sharing and interaction.

[0066] Understandably, the airborne intent message pre-verification module performs pre-verification of various airborne intent messages transmitted via the data link. First, it identifies and handles abnormal messages, discarding invalid messages such as those with incorrect formats, abnormal data link communication, or those rejected by airborne equipment, ensuring the basic validity of the data transmitted from the data link at the source. Based on this, it simultaneously verifies data compliance and element integrity, determining whether the message conforms to standard message format specifications. It matches and compares the core information extracted from the parsing, such as arrival and departure procedures, approach procedures, runways, and activated routes, with standard procedure codes to comprehensively verify the accuracy and standardization of various airborne intent information elements transmitted via the data link.

[0067] Understandably, the cross-consistency confidence calibration module implements multi-source situational awareness linkage calibration and air-to-ground procedure coding mapping. From the perspectives of operational situation and data coding rules, it completes data consistency verification and calibration, comprehensively improving the reliability of airborne intent data transmitted via the data link. Firstly, it conducts multi-source situational awareness linkage calibration, comparing the airborne intent data collected by the data link with multi-source information such as the operational situation, flight plan, and control instructions from the ground air traffic control system. This reasonably narrows the range of usable airborne intent data transmitted via the data link, effectively improving the accuracy of control instruction verification. Secondly, it implements air-to-ground procedure coding mapping. Addressing the issue that the airborne navigation database, which follows the ARINC 424 standard, only supports a maximum of 6 characters for its program code and is inconsistent with the standard program name coding rules of the ground system, a code mapping calibration mechanism is constructed. This mechanism reverse-parses the logic used by the airborne end to remove separators and truncate duplicate fields due to character limits (taking NOBIK-9W reduced to NOBI9W as an example) to restore the encoding format, establishing a mapping relationship between the simplified airborne code and the complete standard procedure code, preventing intentional errors caused by encoding differences. Figure 1 Inconsistency judgment error.

[0068] Understandably, the execution timing dynamic control module relies on the flight phase to achieve precise coordination between onboard intent collection and actual flight operation sequence based on the data chain, from the dimensions of intent map construction and targeted selection to intelligent control of multi-strategy collection frequency. Firstly, intent map construction and targeted selection, combined with the operational attributes and characteristics of each flight phase, clarifies the onboard trajectory prediction, flight intent, and flight operation data that can be obtained through the data chain at different operational phases, establishing a standardized correspondence map of "flight phase - onboard intent," and completing the time-series and systematic overall management of onboard intent data. Based on this, combined with the aircraft's real-time flight phase, it completes the targeted and on-demand precise collection of onboard intent data. For example, when the aircraft is in the takeoff preparation and departure operation phase, only the departure procedures and departure runway data entered by the crew in the onboard equipment are collected through the data chain, without needing to collect long-term non-essential data such as activation routes, approach procedures, and approach runways in advance, effectively simplifying the scope and content of data collection. Secondly, it employs a multi-strategy intelligent control of data acquisition frequency, using a dual-mechanism collaborative approach to flexibly manage the frequency and timing of airborne intent data acquisition. The first is a dynamic variable-frequency acquisition mode, which sets a basic data acquisition cycle based on the aircraft's current flight phase. It relies on the deviation between the estimated time of arrival (ETA) and the actual time of arrival (ATA) in the subsequent four-dimensional trajectory profile calculated by the airborne system, combined with the aircraft's real-time airspeed to comprehensively analyze the trend of deviation changes, and adaptively and dynamically adjusts the acquisition interval of the subsequent four-dimensional trajectory profile calculated by the airborne system. Simultaneously, the airborne ETA information is transmitted back to the ground control system in real time. The second is an event-triggered acquisition mode, which triggers airborne intent acquisition immediately when air traffic control issues control instructions or when the aircraft is about to enter a critical flight phase, based on the intent map. Through the coordinated use of these two acquisition mechanisms, the amount of data link interaction and transmission messages is effectively reduced, while ensuring that the ground system obtains the latest airborne intent in a timely and accurate manner, thus improving operational safety.

[0069] Understandably, the multi-entity intelligent airborne intent distribution and sharing module constructs a linkage and matching mechanism between demand tags and data categories. Combined with the operational application needs of various civil aviation business entities, it achieves dynamic identification, accurate matching, and intelligent differentiated distribution and sharing of airborne trajectory prediction, flight intent, and flight operation data collected based on the data chain. This module relies on the data chain to deliver targeted data to various civil aviation business entities: to air traffic control units, it pushes flight intent data transmitted via the data chain, facilitating real-time assessment of the consistency between the crew's actual flight intent and control instructions; to cross-regional air traffic control units along the route, it pushes trajectory prediction data transmitted via the data chain, obtaining the aircraft's estimated arrival time in each control sector, supporting cross-regional traffic coordination; to airports, it pushes trajectory prediction data such as estimated arrival times transmitted via the data chain, helping airports to coordinate and allocate various ground support resources in advance; and to airlines, it pushes flight operation data such as cost indices, aircraft weight, remaining fuel, and engine operating status transmitted via the data chain, meeting the airlines' needs for flight status monitoring and operational scheduling. This module effectively breaks down information barriers between various business units, ensuring that all types of business entities can quickly obtain the core information required for their specific business, and comprehensively improve the accuracy, practicality, and overall airspace operational coordination efficiency of airborne intent information sharing based on data chains.

[0070] The embodiments of the present invention also have the following technical effects:

[0071] This invention enables real-time two-way data interaction between airborne equipment and ground systems, collects the unique information from the airborne equipment in real time, shares the airborne intentions with relevant systems such as ground air traffic control, airlines, and airports, and issues instructions in conjunction with actual air traffic control, thereby enabling early prediction of flight conflicts, effectively making up for the shortcomings of existing systems, and comprehensively improving the safety level of civil aviation flight operations.

[0072] To achieve the above embodiments, such as Figure 3 As shown, this embodiment also provides an airborne intent-sharing device 10 based on a data link, including:

[0073] The message pre-verification module 100 is used to pre-verify the airborne intent messages received via data link, identify and discard invalid messages, and verify the data compliance and element integrity of valid messages.

[0074] The data confidence calibration module 200 is used to perform cross-consistency confidence calibration on the verified airborne intent data. It improves data credibility through multi-source situational linkage comparison and air-to-ground program coding mapping.

[0075] The dynamic acquisition and control module 300 is used to dynamically adjust the acquisition timing and frequency of airborne intent data according to the flight phase of the aircraft, so as to achieve on-demand acquisition.

[0076] The differentiated targeted distribution module 400 is used to distribute airborne intent data to the corresponding business entities based on their demand tags, thereby achieving differentiated sharing.

[0077] An airborne intent sharing device based on a data link according to an embodiment of the present invention can realize the accurate collection and real-time sharing of airborne intent, improve the ability to predict flight conflicts, and enhance data reliability and airspace operation coordination efficiency.

[0078] To implement the methods of the above embodiments, the present invention also provides a computer device, such as... Figure 4 As shown, the computer device 600 includes a memory 601 and a processor 602; wherein, the processor 602 reads executable program code stored in the memory 601 to run a program corresponding to the executable program code, so as to implement the various steps of the method described above.

[0079] To implement the above embodiments, this application also proposes a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the method described in the foregoing embodiments.

[0080] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0081] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

Claims

1. A data link-based airborne intent sharing method, characterized in that, include: S1 performs pre-verification on airborne intent messages received via data link, identifies and discards invalid messages, and verifies the data compliance and element integrity of valid messages. S2 performs cross-consistency confidence calibration on the verified airborne intent data, and improves data credibility through multi-source situational linkage comparison and air-to-ground program coding mapping; S3 dynamically adjusts the timing and frequency of airborne intent data collection according to the flight phase of the aircraft, enabling on-demand data collection; S4 distributes airborne intent data to the corresponding business entities based on their demand tags, enabling differentiated sharing.

2. The method as described in claim 1, characterized in that, S1 includes: The system performs abnormal message screening and processing on the airborne intent messages received via data link, identifies and discards invalid messages that are out of format, have abnormal data link communication, or are rejected by airborne equipment, and obtains valid messages. The valid messages are checked for data compliance and element integrity to determine whether they conform to the standard message format specifications. The core information of the arrival and departure procedures, approach procedures, take-off and landing runways, and activated routes obtained by parsing and extracting them is matched and compared with the standard procedure code to obtain the verified airborne intent data.

3. The method as described in claim 1, characterized in that, The S2 includes: Multi-source situational awareness calibration is carried out by comparing the airborne intent data collected by the data link with the operational status, flight plan, and control instructions of the ground air traffic control system to narrow down the range of usable airborne intent data transmitted by the data link and obtain calibrated airborne intent data. To address the inconsistency between the airborne navigation database program code encoding rules, which follow the ARINC 424 standard, and the ground system, an air-to-ground program encoding mapping mechanism is constructed. This mechanism reverse-analyzes the logic used by the airborne end to delete delimiters and truncate duplicate fields due to character limits, and establishes a mapping relationship between the simplified airborne encoding and the complete standard program encoding, thereby obtaining the encoded and mapped airborne intent data.

4. The method as described in claim 1, characterized in that, The S3 includes: The intent map is constructed and targeted selection is carried out. Combining the operational attributes and characteristics of the aircraft in each flight phase, the airborne trajectory prediction, flight intent, and flight operation data that can be obtained through the data link in different operational phases are sorted out and identified. A standardized correspondence map of "flight phase - airborne intent" is built, and the targeted and on-demand accurate collection of airborne intent data is completed based on the real-time flight phase of the aircraft. It implements intelligent adjustment of collection frequency using multiple strategies, employing a dual-mechanism collaborative approach of dynamic variable frequency collection mode and event-triggered collection mode to flexibly control the collection frequency and timing of airborne intent data.

5. The method as described in claim 4, characterized in that, The method further includes: A dynamic variable frequency acquisition mode is adopted, and the basic data acquisition cycle is set according to the current flight phase of the aircraft. Based on the deviation between the estimated time of arrival (ETA) and the actual time of arrival (ATA) in the subsequent four-dimensional track profile calculated by the airborne system, and combined with the real-time airspeed of the aircraft to comprehensively analyze the trend of deviation changes, the acquisition interval of the subsequent four-dimensional track profile calculated by the airborne system is adaptively and dynamically adjusted, and the ETA information calculated by the airborne system in real time is simultaneously transmitted back to the ground control system.

6. The method as described in claim 5, characterized in that, The method further includes: The event-triggered data acquisition mode is adopted. When the air traffic control department issues control instructions or the aircraft is about to enter a critical flight phase, the onboard intent acquisition is triggered in real time in conjunction with the intent map.

7. The method as described in claim 1, characterized in that, The S4 includes: Establish a linkage and matching mechanism between demand tags and data categories, and combine the performance and application needs of various business entities in civil aviation to dynamically identify, accurately match, and intelligently differentiate and distribute and share airborne trajectory prediction, flight intention, and flight operation data collected based on data chains. Push flight intention data to air traffic control units; Push flight path prediction data to cross-regional air traffic control units along the flight route; Push estimated arrival time flight path prediction data to airports; The system pushes flight operation data such as cost index, aircraft weight, onboard fuel remaining, and engine operating status to airlines.

8. An airborne intent-sharing device based on a data link, characterized in that, include: The message pre-verification module is used to pre-verify the airborne intent messages received via data link, identify and discard invalid messages, and verify the data compliance and element integrity of valid messages. The data confidence calibration module is used to perform cross-consistency confidence calibration on the verified airborne intent data. It improves data credibility through multi-source situational linkage comparison and air-to-ground program coding mapping. The dynamic acquisition and control module is used to dynamically adjust the timing and frequency of airborne intent data acquisition according to the flight phase of the aircraft, so as to achieve on-demand acquisition. The differentiated targeted distribution module is used to distribute onboard intent data to the corresponding business entities based on their demand tags, thereby achieving differentiated sharing.

9. A computer device, characterized in that, Including processor and memory; The processor reads executable program code stored in the memory to run a program corresponding to the executable program code, so as to implement the method as described in any one of claims 1-7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in any one of claims 1-7.

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