一种基于轻量化设备的驾驶负荷实时检测方法及系统
An adaptive spectral clustering integrated flight load detection model built with lightweight equipment solves the problem of individual differences, achieving efficient and accurate flight load detection. It is suitable for real-time monitoring of pilot status and improves flight safety.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- TONGJI UNIV
- Filing Date
- 2024-05-07
- Publication Date
- 2026-07-17
AI Technical Summary
Existing flight load detection technologies cannot effectively account for individual differences, resulting in low detection accuracy and poor generalization. Furthermore, they rely on heavy equipment, which can interfere with pilots, making it difficult to achieve real-time and efficient flight load monitoring.
An adaptive spectral clustering ensemble driving load detection model (ASE-PLD) was built using lightweight equipment. Through physiological feature clustering, data preprocessing and enhancement, base learner training, and ensemble learning model, personalized driving load detection was achieved.
It improves the accuracy and flexibility of pilot load detection, has a certain degree of generalization ability, is suitable for real-time monitoring of pilot flight status, enhances the stability and adaptability of the model, and reduces interference to pilots.
Smart Images
Figure CN118520221B_ABST