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疲劳、恢复和环境因素对建筑工人身体稳定性的影响。

The Influence of Fatigue, Recovery, and Environmental Factors on the Body Stability of Construction Workers.

机构信息

Department of Architectural Engineering, Dankook University, 152 Jukjeon-ro, Suji-gu, Yongin-si 16890, Gyeonggi-do, Republic of Korea.

出版信息

Sensors (Basel). 2024 May 28;24(11):3469. doi: 10.3390/s24113469.

DOI:10.3390/s24113469
PMID:38894258
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11175131/
Abstract

In the construction industry, falls, slips, and trips (FST) account for 42.3% of all accidents. The primary cause of FST incidents is directly related to the deterioration of workers' body stability. To prevent FST-related accidents, it is crucial to understand the interaction between physical fatigue and body stability in construction workers. Therefore, this study investigates the impact of fatigue on body stability in various construction site environments using Dynamic Time Warping (DTW) analysis. We conducted experiments reflecting six different fatigue levels and four environmental conditions. The analysis process involves comparing changes in DTW values derived from acceleration data obtained through wearable sensors across varying fatigue levels and construction environments. The results reveal the following changes in DTW values across different environments and fatigue levels: for non-obstacle, obstacle, water, and oil conditions, DTW values tend to increase as fatigue levels rise. In our experiments, we observed a significant decrease in body stability against external environments starting from fatigue Levels 3 or 4 (30% and 40% of the maximum failure point). In the non-obstacle condition, the DTW values were 9.4 at Level 0, 12.8 at Level 3, and 23.1 at Level 5. In contrast, for the oil condition, which exhibited the highest DTW values, the values were 10.5 at Level 0, 19.1 at Level 3, and 34.5 at Level 5. These experimental results confirm that the body stability of construction workers is influenced by both fatigue levels and external environmental conditions. Further analysis of recovery time, defined as the time it takes for body stability to return to its original level, revealed an increasing trend in recovery time as fatigue levels increased. This study quantitatively demonstrates through wearable sensor data that, as fatigue levels increase, workers experience decreased body stability and longer recovery times. The findings of this study can inform individual worker fatigue management in the future.

摘要

在建筑行业中,跌倒、滑倒和绊倒(FST)占所有事故的 42.3%。FST 事故的主要原因直接与工人身体稳定性的恶化有关。为了防止与 FST 相关的事故,了解建筑工人身体疲劳和身体稳定性之间的相互作用至关重要。因此,本研究使用动态时间 warping(DTW)分析来研究疲劳对不同建筑工地环境下身体稳定性的影响。我们进行了反映六个不同疲劳水平和四个环境条件的实验。分析过程涉及比较通过可穿戴传感器获得的加速度数据得出的 DTW 值在不同疲劳水平和建筑工地环境下的变化。结果表明,在不同的环境和疲劳水平下,DTW 值发生以下变化:对于无障碍物、有障碍物、有水和有油的情况,随着疲劳水平的升高,DTW 值呈上升趋势。在我们的实验中,我们观察到从疲劳水平 3 或 4(最大失效点的 30%和 40%)开始,身体稳定性对外部环境的显著下降。在无障碍条件下,DTW 值在 0 级时为 9.4,在 3 级时为 12.8,在 5 级时为 23.1。相比之下,在油条件下,DTW 值最高,在 0 级时为 10.5,在 3 级时为 19.1,在 5 级时为 34.5。这些实验结果证实,建筑工人的身体稳定性受到疲劳水平和外部环境条件的共同影响。对恢复时间(定义为身体稳定性恢复到原始水平所需的时间)的进一步分析表明,随着疲劳水平的增加,恢复时间呈增加趋势。本研究通过可穿戴传感器数据定量证明,随着疲劳水平的增加,工人的身体稳定性降低,恢复时间延长。这项研究的结果可以为未来的个体工人疲劳管理提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f91f/11175131/19b2cb6aae1f/sensors-24-03469-g010.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f91f/11175131/34b59525187f/sensors-24-03469-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f91f/11175131/d95f9f4e07bb/sensors-24-03469-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f91f/11175131/eaf45236dbb9/sensors-24-03469-g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f91f/11175131/19b2cb6aae1f/sensors-24-03469-g010.jpg

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Individual evaluation of fatigue at work to enhance the safety performance in the construction industry: A systematic review.工作疲劳的个体评估对提高建筑业安全绩效的作用:系统综述。
PLoS One. 2024 Feb 7;19(2):e0287892. doi: 10.1371/journal.pone.0287892. eCollection 2024.
2
Influences of different exoskeleton designs and tool mass on physical demands and performance in a simulated overhead drilling task.不同外骨骼设计和工具质量对模拟头顶钻孔任务中体力需求和性能的影响。
Appl Ergon. 2019 Jan;74:55-66. doi: 10.1016/j.apergo.2018.08.004. Epub 2018 Aug 17.
3
Evaluating the stability of a freestanding Mast Climbing Work Platform.
评估独立式桅杆攀爬工作平台的稳定性。
J Safety Res. 2017 Sep;62:163-172. doi: 10.1016/j.jsr.2017.06.014. Epub 2017 Jul 1.
4
State of science: occupational slips, trips and falls on the same level.科学现状:同一平面上的职业滑倒、绊倒和跌倒
Ergonomics. 2016 Jul;59(7):861-83. doi: 10.1080/00140139.2016.1157214. Epub 2016 Mar 30.
5
Influence of fatigue on upper limb muscle activity and performance in tennis.疲劳对网球中上臂肌肉活动和表现的影响。
J Electromyogr Kinesiol. 2014 Feb;24(1):90-7. doi: 10.1016/j.jelekin.2013.10.007. Epub 2013 Oct 30.
6
Effects of general and local fatigue on postural control: a review.全身疲劳和局部疲劳对姿势控制的影响:综述。
Neurosci Biobehav Rev. 2012 Jan;36(1):162-76. doi: 10.1016/j.neubiorev.2011.05.009. Epub 2011 May 27.
7
The link between fatigue and safety.疲劳与安全之间的联系。
Accid Anal Prev. 2011 Mar;43(2):498-515. doi: 10.1016/j.aap.2009.11.011.
8
Work fatigue and physiological symptoms in different occupations of high-elevation construction workers.高海拔地区建筑工人不同职业中的工作疲劳与生理症状
Appl Ergon. 2009 Jul;40(4):591-6. doi: 10.1016/j.apergo.2008.04.017. Epub 2008 Jul 11.
9
Fatigue influences the dynamic stability of the torso.疲劳会影响躯干的动态稳定性。
Ergonomics. 2008 Aug;51(8):1258-71. doi: 10.1080/00140130802030722.
10
Postural orientation and equilibrium: what do we need to know about neural control of balance to prevent falls?姿势定向与平衡:为预防跌倒,我们需要了解哪些关于平衡的神经控制知识?
Age Ageing. 2006 Sep;35 Suppl 2:ii7-ii11. doi: 10.1093/ageing/afl077.