首页|高海拔隧道施工体力劳动强度模型实验研究

高海拔隧道施工体力劳动强度模型实验研究

扫码查看
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.
Experimental study of physical labor intensity model for high-altitude tunnel construction
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 satu-ration,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.

high-altitude tunnelphysical labor intensityexperimentcloud modelgroup method of data handling

刘杰、卢锋、王婉青、许云美、邓禾苗

展开 >

昆明理工大学 公共安全与应急管理学院,云南 昆明 650093

云南财经大学 金融学院,云南 昆明 650221

高海拔隧道 体力劳动强度 实验 云模型 数据分组处理方法

云南省重点研发计划项目

202003AC100002

2024

中国安全生产科学技术
中国安全生产科学研究院

中国安全生产科学技术

CSTPCD北大核心
影响因子:1.119
ISSN:1673-193X
年,卷(期):2024.20(2)
  • 25