摘要
为探究掘进面照度、温度、噪声、湿度等环境因素对事故数的关联程度影响,利用掘进面各个环境因素之间的灰色系统的特点,分析掘进面不同环境因素对事故发生数量的关联程度大小。在测定数值的基础上,对塔山煤矿发生的煤矿安全事故数采取统计分析调查方法,利用灰色关联分析理论对掘进工作面人因事故导致的事故数的关系进行分析。分析结果可得出,在矿井掘进面照度、温度、噪声、湿度4个环境因素中,温度是影响掘进面事故数的最主要因素,其次是照度影响、再次是湿度影响,最后是噪声影响。
In order to research the influence of environmental factors such as illumination,temperature,noise and humidity on the number of accidents,the correlation degree of different environmental factors on the number of accidents in the heading face is analyzed by using the characteristics of grey system among various environmental factors in the heading face.Based on the measured values,the statistical analysis and investigation is adopted for the number of coal mine safety accidents in Tashan Coal Mine,and the relationship between the number of accidents caused by human accidents in the heading face is analyzed by using the grey correlation analysis theory.The analysis results show that among the four environmental factors of illumination,temperature,noise and humidity in the mine heading face,temperature is the most important factor affecting the number of accidents in the heading face,followed by illumination,humidity and noise.
作者
夏润
王素云
符飞
XIA Run;WANG Suyun;FU Fei(School of safety engineering,North China University of Science and Technology,Beijing 101601,China)
出处
《陕西煤炭》
2022年第1期134-136,140,共4页
Shaanxi Coal
基金
校内自选课题《煤矿粉尘作业环境评价及监控系统研发》(编号:HZXKT2020008)。
关键词
掘进面
环境因素
灰色关联度
关联分析模型
煤矿安全事故
heading face
environmental factors
grey correlation degree
association analysis model
coal mine safety accident
