基于多模态数据融合的飞行员生理心理训练管理系统构建

该文针对飞行员生理心理信息如何充分应用于提高飞行训练绩效,结合飞行职业特点,从结构模块、数据融合、效用分析3个方面对飞行员生理心理信息平台进行介绍。飞行员生理心理信息管理系统基于大数据分析融合技术,对不同类型的生理心理数据进行无效/重复数据清洗、数据降噪等处理,形成有效的数据,迭代优化各数据模型,层层追溯和挖掘,构建“用数据说话、用数据决策、用数据管理、用数据创新”飞行员生理心理训练管理系统,有助于快速掌握飞行人员训练情况,智能形成个性化训练方案,为提高飞行员的体能训练效益提供参考。

Aiming at how to fully apply the physiological and psychological information of pilots to improve the performance of flight training,and combined with the characteristics of flight occupation,this paper introduces the physiological and psychological information platform of pilots from three aspects:structure module,data fusion and utility analysis.Based on big data's analysis and fusion technology,the pilot physiological and psychological information management system carries out invalid/repetitive data cleaning,data denoising and other data processing for different types of physiological and psychological data,so as to form effective data and iteratively optimize each data model.Through tracing and mining,it is supposed to build a"data-based speaking,decision-making,managing and innovating"physiological and psychological management system for pilots.It is helpful to quickly grasp the training situation of pilots,intelligently form a personalized training plan,and provide a reference for improving the efficiency of physical training for pilots.