摘要
为保障在高海拔隧道低压缺氧环境下工人的合理作息,从心率、血氧饱和度、脉搏、肺通气量和能量代谢率5个指标探究工人体力劳动强度等级,设计实验并分析得到不同工种的劳动时间率和体力劳动强度等级,提出隧道施工体力劳动强度多因素度量模型。研究结果表明:开挖、喷浆、衬砌、抽水、爆破5个工种人员劳动时间率分别为81.25%,75.00%,81.25%,79.16%,79.16%;测试对象中有23.81%,61.90%和14.29%的工人分别处于Ⅱ级,Ⅲ级,Ⅳ级体力劳动强度,即有76.19%的工人处于“重”或“很重”的体力劳动强度;从人体机能指标与体力劳动强度关系来看,二者具有相关性,但线性相关关系不明显;体力劳动强度模型首次考虑5个指标,得出结果更加精准科学,有良好推广性。研究结果可为进一步优化该类型环境中工人体力劳动强度分级和职业健康与安全保障提供参考。
In order to ensure the reasonable work and rest of workers in the low-pressure and hypoxic environment of high-altitude tunnels,the physical labor intensity grade of workers was explored from five indicators:heart rate,blood oxygen saturation,pulse,pulmonary ventilation and energy metabolism rate.Through experimental design and result analysis,the labor time rate and physical labor intensity grade of different types of work were obtained,and a multi-factor measurement model of physical labor intensity of tunnel construction was proposed.The results show that the labor time rates of personnel in five types of work:excavation,guniting,lining,pumping,and blasting are 81.25%,75.00%,81.25%,79.16%,and 79.16%,respectively.Among the test objects,23.81%,61.90%and 14.29%of the workers are in grade II,III and IV physical labor intensity,namely 76.19%of the workers are in“heavy”or“very heavy”physical labor intensity.From the perspective of the relationship between body function indicators and physical labor intensity,the two are correlated,but the linear correlation is not obvious.The physical labor intensity model considers five indicators for the first time,and the results obtained are more accurate and scientific,and have good generalization.The research results can provide a reference for further optimization of workers’physical labor intensity classification and occupational health and safety guarantee in this type of environment.
作者
刘杰
卢锋
王婉青
许云美
邓禾苗
LIU Jie;LU Feng;WANG Wanqing;XU Yunmei;DENG Hemiao(Faculty of Public Security and Emergency Management,Kunming University of Science and Technology,Kunming Yunnan 650093,China;School of Finance,Yunnan University of Finance and Economics,Kunming Yunnan 650221,China)
出处
《中国安全生产科学技术》
CAS
CSCD
北大核心
2024年第2期145-152,共8页
Journal of Safety Science and Technology
基金
云南省重点研发计划项目(202003AC100002)。
关键词
高海拔隧道
体力劳动强度
实验
云模型
数据分组处理方法
high-altitude tunnel
physical labor intensity
experiment
cloud model
group method of data handling