一种基于知识集成的竞争机制双通道低空风切变航空安全风险因果提取方法
By constructing a professional domain dictionary, data dimensionality reduction and clustering, and simulating the competitive mechanism of human brain causal reasoning, the problem of insufficient identification and causal analysis of low-altitude wind shear aviation risks has been solved, achieving high-precision risk causal identification and in-depth analysis.
CN119671285BActive Publication Date: 2026-07-17NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
- Filing Date
- 2024-12-11
- Publication Date
- 2026-07-17
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Figure CN119671285B_ABST
Abstract
本发明提供了一种基于知识集成的竞争机制双通道低空风切变航空安全风险因果提取方法，包括：收集分析航空系统低空风切变不安全事件数据、构建面向航空系统低空风切变不安全事件报告的BERTopic专业领域主题识别模型、构建模拟人类因果推理思维的直觉因果识别‑逻辑因果识别竞争机制双通道因果关系提取模型、构建面向低空风切变航空风险致因分析的跨层级因果解耦模型。本发明针对低空风切变风险识别未能充分利用历史数据和智能化水平较低的问题，设计了面向低空风切变这一具体情境的领域专用风险识别模型；基于低空风切变的风险演化规律，结合直觉因果推理和逻辑因果推理设计了面向低空风切变的全新的竞争机制双通道因果关系提取模型，为准确识别低空风切变下航空系统风险、深入挖掘风险致因链路，提升航空系统总体安全水平提供理论支撑。
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