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CN-121639858-B - International navigation system layout chart message and image generation method based on AI image recognition

CN121639858BCN 121639858 BCN121639858 BCN 121639858BCN-121639858-B

Abstract

The invention discloses an international navigation system layout chart message and picture generation method based on AI image recognition, which relates to the technical field of aviation informatization and computer application, and comprises the steps of acquiring a data flow record and a cabin information log in a layout chart management process for generating the international navigation system layout chart message and the layout chart picture from a digital tool through interaction of a multiparty collaboration system, and acquiring a layout chart source picture corresponding to cabin information; the international navigation chart message and picture generation method based on AI image recognition improves the automation level, stability and overall operation efficiency of the generation of the international navigation chart.

Inventors

  • YU XIAOTONG

Assignees

  • 飞友科技有限公司

Dates

Publication Date
20260508
Application Date
20260202

Claims (10)

  1. 1. An international navigation chart message and picture generation method based on AI image recognition is characterized by comprising the following steps: S1, acquiring a data flow record and a cabin information log in a layout map management process for generating an international aviation department layout map message and a layout map picture from a digital tool through interaction of a multiparty collaboration system, and acquiring a layout map source picture corresponding to cabin information; S2, carrying out AI image recognition on the layout source picture, extracting a bin mark, a region boundary and a coordinate position thereof to form layout structured data, carrying out encryption algorithm processing on the data flow record, the bin information log and the layout structured data to obtain an encrypted data block, and determining a data integrity check value in an abnormal interference detection link; S3, judging whether abnormal interference exists in the data flow process according to the check value calculated by the encrypted data block, and if the check value is not matched with a preset threshold value, activating the permission control module to perform isolation processing on illegal modification attempts to obtain an isolated safe data flow; S4, extracting the cabin information and cabin allocation details from the isolated safety data stream by adopting a verification algorithm, and determining whether the cabin information meets the requirements of generating a layout diagram in a system interaction environment by combining the cabin coordinate position and the regional boundary layout elements obtained by AI image recognition to generate a layout diagram data set for directly constructing an international navigation layout diagram message and a layout diagram picture; s5, acquiring an associated authority control log from the multiparty collaboration platform through the layout diagram data set, and comparing and analyzing the authority control log to judge whether a potential illegal modification trace exists or not, so as to obtain a purified authority log set; s6, repackaging the layout diagram data set by adopting an encryption algorithm according to the purified authority log set, determining whether the packaged data has the capability of resisting abnormal interference in a digital tool updating link, and outputting an enhanced data packet containing an international navigation layout diagram message and a layout diagram picture; And S7, verifying the reinforced data packet through a verification algorithm in a data flow test, distributing the data packet qualified in verification to a system interaction node, summarizing node feedback to obtain a final integrity confirmation report, acquiring a cabin information updating instruction in a flight scheduling system through the final integrity confirmation report, executing the verification algorithm on the instruction to judge whether passengers are prevented from influencing, and completing generation and release of international aviation department layout diagram messages and layout diagram pictures.
  2. 2. The international navigation chart message and picture generation method based on AI image recognition of claim 1, wherein the S1 comprises: acquiring a data flow record and a cabin position dynamic update record in the management process of the layout diagram from a digital tool through multiparty cooperative interaction to obtain the data flow record and the cabin position dynamic update record; acquiring a cabin information log according to the data flow record and the cabin dynamic update record, and determining the cabin information log; matching the source pictures of the layout picture through the cabin information log and comparing the source pictures of the layout picture with the dynamic update record; if the layout picture source picture corresponds to the cabin information log, integrating the information log, checking the picture source and obtaining an integrated information log and a checked picture source by using an international standard message format; And fusing the integrated information log and the checked picture source to generate an international navigation map message and a map picture to obtain the map message and the map picture.
  3. 3. The international navigation chart message and picture generation method based on AI image recognition of claim 1, wherein the S2 comprises: extracting a position mark and a boundary coordinate from a layout picture source picture through AI image recognition to obtain a layout element, forming structural data corresponding to the layout element, and fusing a position occupation state record to determine extended layout data; Encrypting the data flow record by adopting the expanded layout data and fusing the bin information log to construct an encryption block, acquiring the encryption block, and adjusting encryption parameters to obtain an adjusted encryption block by performing interference detection and judgment if abnormal interference exceeds a preset threshold; Performing complete verification on the adjustment encryption block to determine a data integrity verification value, and acquiring a dynamic layout adjustment verification and picture verification integration record from the data integrity verification value; And preparing to generate an international navigation chart layout chart message and a layout chart picture according to the dynamic layout adjustment verification and picture verification integration record fusion message.
  4. 4. The international navigation chart message and picture generation method based on AI image recognition of claim 1, wherein the S3 comprises: Obtaining a check value from the encrypted data block, and executing interference anomaly judgment by comparing the check value with a preset threshold value to determine a threshold value matching verification result; if the threshold value matching verification result is not consistent, activating an authority control module, and attempting isolation processing on illegal modification to obtain an isolated safety data stream; fusing the position change tracking record by adopting the isolated safety data stream, and executing a response strategy construction process monitoring record; And integrating control intervention data according to the process monitoring record to obtain a safe data stream for generating a layout message and a picture.
  5. 5. The international navigation chart message and picture generation method based on AI image recognition of claim 1, wherein the S4 comprises: Extracting the cabin information and cabin allocation details from the isolated safety data stream, and calculating the data integrity by adopting a hash function through a verification algorithm to obtain an extracted cabin data set; the method comprises the steps of obtaining coordinate positions and region boundary division to generate a fused layout element by adopting an extracted cabin data set to fuse an image recognition result; aiming at the coincidence judgment of the verification requirement of the fused layout elements in the interactive environment, if the judgment result is coincidence, determining a verified layout element group; constructing message data according to the verified layout element group to obtain a data stream after message construction; and integrating the picture generation elements through the data stream after the message construction, and outputting a layout diagram data set.
  6. 6. The international navigation chart message and picture generation method based on AI image recognition of claim 1, wherein S5 includes: acquiring an associated authority control log from the multiparty collaboration platform through a layout diagram data set, and processing the authority control log by adopting a comparison analysis mechanism to obtain a preliminary analysis result; Aiming at the primary analysis result, fusing the cabin layout fusion attribute, judging whether illegal modification traces exist or not, and thus determining a potential risk set; Performing security data verification according to the potential risk set and the image coordinate boundary, and acquiring a purification processing element to generate an intermediate log group; And integrating the interactive verification requirement and the message data construction by adopting the intermediate log group, and outputting the purified authority log set.
  7. 7. The international navigation chart message and picture generation method based on AI image recognition of claim 1, wherein S6 includes: adopting a purification log set to implement an AES encryption algorithm on the layout data set to obtain a packaged preliminary data set; And injecting a preset interference simulation signal sequence into the tool updating link through the preliminary data set, and judging the capability of the packaged data for resisting abnormal interference so as to obtain a verification result set.
  8. 8. The method for generating an international navigation chart message and picture based on AI image recognition as set forth in claim 7, wherein S6 further comprises: fusing a preset cabin level authority mapping verification table aiming at the verification result set, and determining potential vulnerability points to generate an enhanced policy group; Integrating the standby message path of the international navigation system layout according to the enhanced policy group to obtain an intermediate inclusion containing the picture message and the layout picture; And constructing a preset boundary checking mechanism from the middle bag body, and outputting the reinforced data packet.
  9. 9. The international navigation chart message and picture generation method based on AI image recognition of claim 1, wherein S7 includes: Adopting the reinforced data packet to inject a verification algorithm through a preset sequence in a data flow test to obtain a verification qualified data packet; distributing the qualified data packet to a system interaction node through verification to obtain a node feedback set; And determining a final integrity confirmation report aiming at the fusion and summarization processing of the node feedback set.
  10. 10. The method for generating an international navigation chart message and picture based on AI image recognition as set forth in claim 9, wherein S7 further comprises: Extracting a cabin information updating instruction from the final integrity confirmation report, and judging whether an instruction execution verification algorithm accords with a preset standard or not to obtain a result; and obtaining a result to generate an international navigation system layout diagram message and a layout diagram picture, and constructing a release path.

Description

International navigation system layout chart message and image generation method based on AI image recognition Technical Field The invention relates to the technical field of aviation informatization and computer application, in particular to an international navigation chart message and picture generation method based on AI image recognition. Background Along with the rapid development of the international air transportation industry, the dependence degree of airlines on an informatization system in the aspects of machine type configuration, cabin layout, flight operation management and the like is continuously improved. As an important data carrier for describing the cabin structure, the seat distribution and the related configuration information of the aircraft, the layout chart is usually circulated among a plurality of systems in the airline in the form of messages, pictures and the like, and the accuracy and consistency of the layout chart directly influence key services such as flight planning, cabin sales management, operation scheduling and the like. In the prior art, the generation and management of the international navigation system layout is dependent on a manual maintenance or semi-automatic processing mode, and the layout data source is complex, and comprises not only the bilge information record of text types, but also the layout file in an image form. Because of the need of frequently sharing and updating the data of the layout diagram among different systems and different posts, the layout diagram is easily influenced by human operation difference, inconsistent system interfaces and cross-system cooperation complexity in the process of generating, modifying and distributing, and further the problems of inconsistent information of the layout diagram, disordered version or delayed updating and the like are caused. On the other hand, with the introduction of digitizing tools and multiparty collaboration platforms, it has become normal for layout-related data to be streamed between multiple system nodes. In this process, the layout data not only faces the challenges of format conversion and content parsing, but also risks abnormal interference or unauthorized modification of the data during transmission and processing. The prior art is usually focused on post-verification or manual verification, lacks a systematic protection mechanism for the generation process of the layout diagram, and is difficult to discover and isolate potential abnormal operation in time, thereby influencing the reliability of the generation result of the layout diagram. In addition, key information such as a cabin position and a region boundary contained in the layout picture source picture often needs to be manually identified or analyzed depending on experience, so that the efficiency is low, and errors are easily generated due to subjective judgment. Under the scene that the layout diagram needs to be frequently updated, how to accurately extract cabin related elements from the layout diagram picture and effectively fuse the cabin related elements with structured data such as cabin information logs and the like is a common difficulty in the prior art. Disclosure of Invention The invention aims to provide an international navigation chart message and picture generation method based on AI image recognition, which solves the problems existing in the prior art. In order to achieve the above purpose, the invention provides the following technical scheme that the international navigation chart message and picture generation method based on AI image recognition comprises the following steps: S1, acquiring a data flow record and a cabin information log in a layout map management process for generating an international aviation department layout map message and a layout map picture from a digital tool through interaction of a multiparty collaboration system, and acquiring a layout map source picture corresponding to cabin information; S2, carrying out AI image recognition on the layout source picture, extracting a bin mark, a region boundary and a coordinate position thereof to form layout structured data, carrying out encryption algorithm processing on the data flow record, the bin information log and the layout structured data to obtain an encrypted data block, and determining a data integrity check value in an abnormal interference detection link; S3, judging whether abnormal interference exists in the data flow process according to the check value calculated by the encrypted data block, and if the check value is not matched with a preset threshold value, activating the permission control module to perform isolation processing on illegal modification attempts to obtain an isolated safe data flow; And S4, extracting the cabin information and cabin allocation details from the isolated safety data stream by adopting a verification algorithm, and determining whether the cabin information meets the requirements of generating a