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基于心率特征的围裙控制器作业疲劳发展过程研究

Study on the development process of apron controller's work fatigue based on heart rate characteristics.

作者信息

Sun He, Jia Aiping

机构信息

College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China.

Beijing Daxing International Airport, Beijing 102602, China.

出版信息

Heliyon. 2024 Feb 10;10(4):e26296. doi: 10.1016/j.heliyon.2024.e26296. eCollection 2024 Feb 29.

DOI:10.1016/j.heliyon.2024.e26296
PMID:38434009
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10907528/
Abstract

In order to study the fatigue development and change pattern of apron controllers in the process of each work, experiments were carried out at Beijing Daxing International Airport, and the physiological data of personnel were collected by smart band senselessly. The incremental relationship between heart rate characteristics and personnel reaction time before and after work was compared and analyzed; the change in duty time, workload and heart rate of controllers were studied quantitatively, and the regulatory role of the body and fatigue changes were analyzed, then the pattern of heart rate changes with fatigue development was found. The results of the study showed that the heart rate characteristics were related to the workload of the controllers, correlated with the change pattern of personnel reaction time characteristics. The p-values are less than 0.05. So the fatigue state of personnel could be objectively characterized by heart rate. The heart rate of apron controllers showed a jittering decreasing trend during 3 h of work, and its distribution showed obvious banded dense areas. The relative heart rate gradually decreases from 0.6 to about 0.2. The 95% confidence intervals for time of the occurrence of minimal values of heart rate during the first 2 h and the last 1 h of work time were statistically estimated as [57.38,81.42] and [143.79,155.45] respectively, and further calculated the corresponding confidence intervals for number of flights, which are the possible fatigue severity intervals. The study can provide valuable references for controller shift management and personnel status monitoring timing during daily work.

摘要

为研究停机坪管制员各工作过程中的疲劳发展及变化规律,在北京大兴国际机场开展实验,通过智能手环无感采集人员生理数据。对比分析工作前后心率特征与人员反应时间的增量关系;定量研究管制员的值班时间、工作量及心率变化,分析身体的调节作用和疲劳变化,进而找出心率随疲劳发展的变化规律。研究结果表明,心率特征与管制员的工作量相关,与人员反应时间特征的变化规律具有相关性。P值小于0.05。因此,可通过心率客观表征人员的疲劳状态。停机坪管制员在工作3小时内心率呈抖动下降趋势,其分布呈现明显的带状密集区。相对心率从0.6逐渐降至约0.2。统计估计工作时间前2小时和最后1小时内心率最小值出现时间的95%置信区间分别为[57.38,81.42]和[143.79,155.45],并进一步计算出相应的航班次数置信区间,即可能的疲劳严重程度区间。该研究可为日常工作中管制员排班管理及人员状态监测时机提供有价值的参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9a/10907528/89227118e913/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9a/10907528/e113dd9971b3/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9a/10907528/a3efc859ddaa/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9a/10907528/d3927bf7e605/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9a/10907528/bf18a462a416/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9a/10907528/48d0a41cd02c/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9a/10907528/4fd4ce3ac268/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9a/10907528/89227118e913/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9a/10907528/e113dd9971b3/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9a/10907528/a3efc859ddaa/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9a/10907528/d3927bf7e605/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9a/10907528/bf18a462a416/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9a/10907528/48d0a41cd02c/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9a/10907528/4fd4ce3ac268/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9a/10907528/89227118e913/gr7.jpg

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