Route protocol intelligent management system based on hybrid analysis and large language model

By constructing an intelligent management system for route agreements based on hybrid parsing and large language models, the problems of information silos and data security in the process of airlines managing route agreements have been solved, realizing efficient sharing and intelligent application of agreement information, and improving operational efficiency and decision support.

CN122173628APending Publication Date: 2026-06-09COLORFUL GUIZHOU AIRLINES CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
COLORFUL GUIZHOU AIRLINES CO LTD
Filing Date
2026-01-28
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Airlines face problems such as information silos, low collaboration efficiency, insufficient data security, low accuracy of information extraction, and difficulty in utilizing unstructured data when managing route agreements, resulting in low operational efficiency and insufficient decision support.

Method used

The system adopts an intelligent management system for flight route protocols based on hybrid parsing and large language models. By building a unified digital asset management center for protocols within the enterprise, and combining large language models and rule engines, it realizes the digitization, secure storage, structured parsing, and intelligent application of protocols, supporting intelligent question answering, risk warning, and decision support.

Benefits of technology

It has achieved centralized and efficient sharing of protocol information, improved operational efficiency, reduced the risk of human error, provided accurate data support, and enhanced the airline's operational modernization level and core competitiveness.

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Abstract

This invention discloses an intelligent management system for flight route agreements based on hybrid parsing and a large language model, belonging to the field of intelligent management technology for flight route agreements. It includes a protocol digitization and secure storage module, a hybrid intelligent parsing and information extraction module, a structured storage and knowledge accumulation module, and an intelligent application and business empowerment module. This invention achieves accurate and automated extraction of key information from flight route cooperation agreements by employing a hybrid intelligent parsing mode that combines rule matching with LLM semantic understanding. It overcomes the inefficiencies and error-prone nature of traditional manual review and simple OCR technology. The system transforms the processing of agreement information from a human-search-for-information approach to an information-search-for-human approach, freeing managers from tedious and repetitive manual labor. It is estimated that this can improve the efficiency of related business processes and greatly reduce the risk of data errors caused by human negligence or misunderstanding, significantly improving the efficiency and accuracy of agreement management.
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