管制员疲劳对管制运行品质影响机理及预警关键技术研究

结题报告

项目介绍

AI项目解读

基本信息

批准号：
U1933201
项目类别：
联合基金项目
资助金额：
202.0万
负责人：
胡文东
依托单位：
中国人民解放军第四军医大学
学科分类：
电子学与信息系统
结题年份：
2023
批准年份：
2019
项目状态：
已结题
起止时间：
2019 至 2023

项目参与者：
胡文东；
关键词：
疲劳心理选拔疲劳恢复空中交通管制员

项目摘要

The fatigue of air traffic controllers is of great significance to the safety and efficiency of civil aviation transportation. According to the nature and characteristics of air traffic controllers, the poor competence of air traffic controllers is easy to induce fatigue. Referring to mature pilot selection technology, this study developed an air traffic controllers psychophysiological selection system; established actual and simulated experimental conditions for air traffic control operations, and used group and self-repeated experiments before and after air traffic control operations to obtain test data, and carried out physiological and psychological characteristics of induced fatigue. Research, clarify the fatigue influence mechanism of air traffic controllers in the process of operation, screen out sensitive physiological and psychological indicators that can reflect the fatigue of air traffic controllers; Through feature extraction and optimization, develop key fatigue monitoring technologies combined with various monitoring principles and methods, research and develop intelligent early warning system with practical application prospects for fatigue early warning, and realize the pre-work and in-work of air traffic controllers. Through fatigue early warning system and fatigue self-perception of air traffic controllers, key technologies for rapid fatigue relief are developed. Through the implementation of the project, innovative achievements have been achieved in the above aspects, promoting the development of related scientific research and application technology, and improving the efficiency and safety of regulatory operation.

空管员疲劳事关民航运输安全高效，具有重要意义。本研究根据空管员的工作性质和特点，空管员胜任能力差容易诱发疲劳，借鉴成熟飞行人员选拔技术，研制空管员心理生理选拔系统；建立实际和模拟空管作业实验条件，采用分组和空管作业前后自身重复实验，获取检测数据，对诱发疲劳的生理心理指标特性进行研究，阐明空管员作业过程中疲劳影响机理，筛选出能反映空管员疲劳的敏感生理心理指标；通过特征提取和优化，发展多种监测原理和方法相结合的疲劳监测关键技术，研究与开发用于疲劳预警的有实际应用前景的智能化预警系统，实现对空管员工作前和工作中的疲劳状态检测和预警；通过疲劳预警系统和空管员疲劳自我感知，研制快速解除疲劳关键技术。通过项目实施，在上述几个方面取得创新性的成果，推动相关科学研究和应用技术的发展，提高管制工作运行的高效安全。