• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

预测 COVID-19 疫情期间中国不同政策下国际航班机组疲劳风险。

Forecasting crew fatigue risk on international flights under different policies in China during the COVID-19 outbreak.

机构信息

College of Safety Science and Engineering, Civil Aviation University of China, Tianjin, China.

出版信息

Front Public Health. 2022 Oct 18;10:996664. doi: 10.3389/fpubh.2022.996664. eCollection 2022.

DOI:10.3389/fpubh.2022.996664
PMID:36330108
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9623177/
Abstract

To predict the risk of fatigue for flight crews on international flights under the new operating model policy of the civil aviation exemption approach policy during the COVID-19 outbreak, and to provide scientific validation methods and ideas for the exemption approach policy. This paper uses the change in flight crew alertness as a validation indicator, and then constructs an alertness assessment model to predict flight crew fatigue risk based on the SAFTE model theory. Then, the corresponding in-flight rotation plans for the flight is designed according to the exemption approach policy issued by the CAAC, the CCAR-121 part policy and the real operational requirements of the airline, respectively, and finally the simulation results is compared by comparing the pilot alertness and cockpit crew alertness under the exemption approach policy and the CCAR-121 part policy with the flight duration. The results show that the flight crew alertness level for the flight in-flight rotation plan simulation designed under the exemption approach policy is higher or closer to the pilot alertness level for operational flights under the CCAR-121 Part policy. This validates the reasonableness and safety of the exemption approach policy issued by the CAAC to meet the requirements of epidemic prevention and control, and provides scientific support and solutions for fatigue monitoring and management.

摘要

为了预测 COVID-19 疫情期间,按照民航豁免政策的新运行模式政策,国际航班机组人员的疲劳风险,并为豁免政策提供科学验证方法和思路。本文以飞行机组警觉性变化作为验证指标,然后基于 SAFTE 模型理论构建警觉性评估模型,预测飞行机组疲劳风险。接着,根据中国民航局发布的豁免政策、CCAR-121 部政策以及航空公司的实际运行需求,分别为航班设计相应的豁免政策下的飞行中轮班计划,最后通过比较豁免政策和 CCAR-121 部政策下的飞行持续时间与飞行员警觉性和驾驶舱机组警觉性,对模拟结果进行比较。结果表明,豁免政策下设计的飞行中轮班计划模拟的飞行机组警觉性水平更高或更接近 CCAR-121 部政策下的运营航班的飞行员警觉性水平。这验证了中国民航局发布的豁免政策的合理性和安全性,满足了疫情防控的要求,并为疲劳监测和管理提供了科学支持和解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4805/9623177/b99990a08995/fpubh-10-996664-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4805/9623177/0f9727964f19/fpubh-10-996664-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4805/9623177/b7700f0a73b6/fpubh-10-996664-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4805/9623177/1c4200e3b93d/fpubh-10-996664-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4805/9623177/b99990a08995/fpubh-10-996664-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4805/9623177/0f9727964f19/fpubh-10-996664-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4805/9623177/b7700f0a73b6/fpubh-10-996664-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4805/9623177/1c4200e3b93d/fpubh-10-996664-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4805/9623177/b99990a08995/fpubh-10-996664-g0004.jpg

相似文献

1
Forecasting crew fatigue risk on international flights under different policies in China during the COVID-19 outbreak.预测 COVID-19 疫情期间中国不同政策下国际航班机组疲劳风险。
Front Public Health. 2022 Oct 18;10:996664. doi: 10.3389/fpubh.2022.996664. eCollection 2022.
2
Flight crew fatigue risk assessment for international flights under the COVID-19 outbreak response exemption policy.新冠疫情防控豁免政策下国际航班机组人员疲劳风险评估。
BMC Public Health. 2022 Oct 1;22(1):1843. doi: 10.1186/s12889-022-14214-5.
3
Fatigue during Long-Haul Flights of Different Crew Compositions under Exemption from Layover and Flight Time during COVID-19.COVID-19 期间豁免中途停留和飞行时间时,不同机组人员组成的长途飞行中的疲劳。
Int J Environ Res Public Health. 2022 Oct 19;19(20):13567. doi: 10.3390/ijerph192013567.
4
Sleep, alertness and alertness management among commercial airline pilots on short-haul and long-haul flights.短途和长途航班上商业航空公司飞行员的睡眠、警觉性及警觉性管理
Accid Anal Prev. 2017 Jan;98:320-329. doi: 10.1016/j.aap.2016.10.029. Epub 2016 Nov 2.
5
[Stress and fatigue in long distance 2-man cockpit crew].[远程双人驾驶舱机组人员的压力与疲劳]
Wien Med Wochenschr. 1996;146(13-14):272-6.
6
Evaluation of fatigue and sleep problems in cabin crews during the early COVID-19 pandemic period.评估 COVID-19 大流行早期机组人员的疲劳和睡眠问题。
Travel Med Infect Dis. 2022 Nov-Dec;50:102430. doi: 10.1016/j.tmaid.2022.102430. Epub 2022 Aug 25.
7
The sustained attention characteristics of flight crews on exempt and non-exempt flights.豁免和非豁免飞行机组的持续注意力特征。
Chronobiol Int. 2023 Jul 3;40(7):926-937. doi: 10.1080/07420528.2023.2235011. Epub 2023 Jul 11.
8
Two-crew operations: stress and fatigue during long-haul night flights.双人机组操作:长途夜间飞行中的压力与疲劳
Aviat Space Environ Med. 1997 Aug;68(8):679-87.
9
[The relationship between fatigue and the specific features of a flight shift of civil aviation flight crew].[民航飞行机组人员疲劳与飞行班次特定特征之间的关系]
Gig Sanit. 2010 Jan-Feb(1):59-62.
10
Fatigue among Air crews on (Ultra)-Long-Range flights - A comparison of subjective fatigue with objective concentration ability.(超)远程飞行机组人员的疲劳——主观疲劳与客观注意力集中能力的比较
Heliyon. 2023 Nov 2;9(11):e21669. doi: 10.1016/j.heliyon.2023.e21669. eCollection 2023 Nov.

引用本文的文献

1
Fatigue risk assessment for flight crews flying across time zones in different directions to the east or west during the COVID-19 pandemic in China.中国新冠疫情期间,对往返于不同时区东西方向的机组人员进行疲劳风险评估。
BMC Public Health. 2024 Dec 23;24(1):3561. doi: 10.1186/s12889-024-20856-4.

本文引用的文献

1
How should a bio-mathematical model be used within a fatigue risk management system to determine whether or not a working time arrangement is safe?在疲劳风险管理系统中,应该如何使用生物数学模型来确定工作时间安排是否安全?
Accid Anal Prev. 2017 Feb;99(Pt B):469-473. doi: 10.1016/j.aap.2015.11.032. Epub 2016 Mar 31.
2
Fatigue risk management: Organizational factors at the regulatory and industry/company level.疲劳风险管理:监管和行业/公司层面的组织因素。
Accid Anal Prev. 2011 Mar;43(2):573-90. doi: 10.1016/j.aap.2009.11.007.
3
Modelling fatigue and the use of fatigue models in work settings.
疲劳建模及疲劳模型在工作环境中的应用。
Accid Anal Prev. 2011 Mar;43(2):549-64. doi: 10.1016/j.aap.2009.12.030.
4
How well do pilots sleep during long-haul flights?飞行员在长途飞行中睡眠质量如何?
Ergonomics. 2010 Sep;53(9):1072-5. doi: 10.1080/00140139.2010.506246.
5
Benchmark duration of work hours for development of fatigue symptoms in Japanese workers with adjustment for job-related stress.针对日本工人疲劳症状发展情况的工作时长基准,并对与工作相关的压力进行了调整。
Risk Anal. 2008 Dec;28(6):1689-98. doi: 10.1111/j.1539-6924.2008.01107.x. Epub 2008 Sep 11.
6
Predicting road crashes from a mathematical model of alertness regulation--The Sleep/Wake Predictor.基于警觉性调节数学模型——睡眠/觉醒预测器来预测道路交通事故
Accid Anal Prev. 2008 Jul;40(4):1480-5. doi: 10.1016/j.aap.2008.03.016. Epub 2008 Apr 22.
7
Developing mathematical models of neurobehavioral performance for the "real world".为“现实世界”建立神经行为表现的数学模型。
J Biol Rhythms. 2007 Jun;22(3):246-58. doi: 10.1177/0748730407301376.
8
Fatigue in trans-Atlantic airline operations: diaries and actigraphy for two- vs. three-pilot crews.跨大西洋航空运营中的疲劳:两飞行员机组与三飞行员机组的日记及活动记录仪研究
Aviat Space Environ Med. 2006 Jun;77(6):605-12.
9
Predictions from the three-process model of alertness.警觉性三过程模型的预测
Aviat Space Environ Med. 2004 Mar;75(3 Suppl):A75-83.
10
A model to predict work-related fatigue based on hours of work.一个基于工作时长预测与工作相关疲劳的模型。
Aviat Space Environ Med. 2004 Mar;75(3 Suppl):A61-9; discussion A70-4.