基于心率監測的建筑工人生理疲勞分析

徐明偉; 金龍哲; 張驎; 于露; 劉建國; 田興華

doi:10.13374/j.issn2095-9389.2018.06.015

基于心率監測的建筑工人生理疲勞分析

doi: 10.13374/j.issn2095-9389.2018.06.015

1) 北京科技大學土木與資源工程學院, 北京 100083
2) 國家安監總局培訓中心, 北京 100010

基金項目:

國家重點研發計劃課題資助項目(2016YFC0801706)

詳細信息

中圖分類號: TG142.71
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出版歷程
- 收稿日期: 2017-11-27

Research on the fatigue of construction workers by heart rate monitoring

1) School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
2) State Administration of Work Safety Training Center, Beijing 100010, China

摘要

摘要: 人體在進入疲勞狀態時生理參數會發生相應的變化.為了探討砌磚工人在持續體力勞動作業時心率和心率變異(HRV)對人體生理疲勞的影響,針對疲勞與心率的關系提出評價生理疲勞的數學模型.選取15名健康受試者(男性)在搭建的86 cm平臺模擬砌磚工人作業.持續作業30 min進行一次心率變異數據的收集.同時,使用心率傳感器對心率進行實時監測.本文采用方差分析、t檢驗和非線性擬合的方法對疲勞對心率和心率變異的影響進行分析.結果表明,生理疲勞使心率波動程度有顯著變化(檢驗水準α=0.05水平,概率P<0.05),隨著生理疲勞程度的加重,人體心率需要更長的時間才能恢復至正常值.受試者HRV并無顯著性差異(α=0.05,P>0.05).非線性擬合結果(R²=0.8892)顯示,生理疲勞的發展趨勢呈現出"S型"的趨勢.據此提出,生理疲勞分為3個階段:疲勞調整期、疲勞穩定期和疲勞失穩期.在疲勞失穩期前(試驗中約為90min)受試者休息,可以減緩或延遲生理疲勞的發生.
- 建筑工人 /
- 生理疲勞 /
- 心率變異 /
- 相對心率 /
- 疲勞監測
Abstract: The safety situation in the construction industry across the world has been complicated for a long time, and the high incidence of accidents poses great challenges to this situation. Research on occupational safety and health indicates that people are prone to misconduct or unsafe behavior when they are tired. A large number of accident analyses show that fatigue is one of the most important reasons for accidents. When the human body enters into a fatigue state, the physiological parameters change accordingly. The aim of this study was to investigate the effects of heart rate and heart rate variability (HRV) on physiological fatigue in a sustained bricklaying task. A mathematical model was proposed for evaluating physiological fatigue. Five male healthy participants were selected to imitate construction by engaging in bricklaying on an 86 cm platform. HRV data were collected every 30 min during the sustained task, and heart rate was measured every minute. Analysis of variance, one-sample t-test, and nonlinear curve fitting were adopted in this study. Physiological fatigue shows a significant change with heart rate fluctuation (significant level α=0.05, P<0.05). With an increase in physiological fatigue, the heart rate needs a longer time to decrease to the normal level. No significant difference is observed in HRV between the subjects (α=0.05, P>0.05). The trend of the physiological fatigue curve follows a cubic function. The nonlinear curve fitting results (R²=0.8892) show that the development trend of physiological fatigue shows an "S" trend, which can be divided into the following three stages:fatigue adjustment period, fatigue stability period, and fatigue instability period. Proper rest in the fatigue failure period (In this experiment, it was about 90 min.) can slow or delay physiological fatigue.
- construction worker /
- physiological fatigue /
- heart rate variability /
- relative heart rate /
- fatigue monitoring

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