一种基于大模型的航空保障任务调度方法及系统
By using a large language model and a near-end policy optimization algorithm, an emergency resource scheduling model is constructed, which solves the problems of slow response and insufficient adaptability in traditional aviation support task scheduling methods, and realizes intelligent and efficient dynamic scheduling of aviation support tasks.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DALIAN MARITIME UNIVERSITY
- Filing Date
- 2025-12-02
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional aviation support mission scheduling methods are slow to respond, lack flexibility, are difficult to achieve optimal global resource allocation, and lack adaptive adjustment capabilities in complex environments.
A large language model is used to parse aviation operation text data, an emergency resource scheduling model is constructed, and the optimal scheduling strategy is generated through model context protocol and near-end policy optimization algorithm. The scheduling plan is updated in real time, and scheduling execution information is recorded to achieve intelligent scheduling.
It improves the system's intelligence level and environmental adaptability, realizes dynamic optimization of resources and precision in scheduling, and reduces the limitations of human intervention.
Smart Images
Figure CN121599396B_ABST