摘要
为衡量矿工的疲劳状态水平,在疲劳自评量表的基础上设计个体因素下的矿工疲劳评价量表。根据已有矿工疲劳风险因素相关文献确定矿工疲劳指标体系;采用疲劳指数模型得出疲劳指数,运用灰色关联法得出疲劳指标与疲劳指数的关联度;最后根据关联度进行疲劳差异分析。结果表明:班前影响矿工疲劳指数的主要因素为总体疲劳、工种、体力疲劳,班后影响矿工疲劳指数的主要因素为体力疲劳、脑力疲劳、疲劳表现;晚班矿工疲劳指数与早班相比显著升高3.66(p<0.05);矿工在年龄、工种、学历等方面存在疲劳差异性。研究结果为煤炭企业制定合理的疲劳调控措施提供了依据。
Fatigue is a common unsafe state among miners,and the unsafe behaviors it causes can easily lead to coal mine accidents.To measure the level of miners fatigue state,this article designs a miners fatigue evaluation scale under individual factors,which is based on the fatigue self-assessment scale.The essay first established a miner fatigue index system based on existing literature related to miner fatigue risk factors,including individual difference factors and outcome factors.Then,calculating the fatigue exponent of miners by the fatigue exponent mathematical model,the essay derives the correlation degree between the fatigue index and fatigue exponent by the grey correlation method.Finally,according to the results of correlation degree sorting,descriptive statistical analysis and one-way ANOVA are used to analyze the fatigue differences under individual differences.The results indicate that the main factors affecting the fatigue index of miners before shift are overall fatigue,job type,and physical fatigue,and the main factors that affect the fatigue index of miners after work are physical fatigue,mental fatigue,and fatigue performance.The fatigue index of miners in the evening shift is significantly higher by 3.66 compared with that in the morning shift(p<0.05).There are differences in fatigue among miners in terms of age,length of service,type of work,and educational background.According to the analysis of fatigue differences,there is not only a negative correlation between age and fatigue exponent in pre-shift but also a negative correlation between working years and fatigue exponent in pre-shift.On the contrary,there is a positive correlation that exists between age and fatigue exponent in post-shift,while a positive correlation exists between working years and fatigue exponent in post-shift.Compared to management and technical personnel,frontline workers have the highest fatigue exponent.The higher the education level,the more severe the fatigue level.The results of this study provide a scientific basis for
作者
田水承
高晓颖
冯帅
陈磊
TIAN Shuicheng;GAO Xiaoying;FENG Shuai;CHEN Lei(College of Safety Science and Engineering,Xi'an University of Science and Technology,Xi'an 710054,China;Institute of Safety and Emergency Management,Xi'an University of Science and Technology,Xi'an 710054,China)
出处
《安全与环境学报》
CAS
CSCD
北大核心
2024年第7期2721-2730,共10页
Journal of Safety and Environment
基金
国家自然科学基金项目(51874237,U1904210)
国家社会科学基金项目(20XGL025)。
关键词
安全社会工程
疲劳指标
疲劳指数
灰色关联分析
疲劳评定
safety social engineering
fatigue index
fatigue exponent
grey correlation analysis
fatigue assessment
