首页|基于24Model的受限空间事故行为致因分析

基于24Model的受限空间事故行为致因分析

扫码查看
为有效预防化工行业受限空间事故,减少人员伤亡,基于化工行业受限空间事故统计数据,明确事故发生规律。应用24Model系统探究"4·15"重大着火中毒事故致因要素,并深入挖掘要素间的内在关联,计算各致因要素总输入输出度,由此明确预防措施的优先级。研究结果表明:我国化工行业受限空间事故发生数呈平稳变化趋势,事故级别多为较大事故(占比65。6%),主要事故类型为中毒和窒息事故(占比59。1%)。在"4·15"重大着火中毒事故致因要素中,车间地下室不正确存放LMZ冷媒增效剂总输入输出度最大(CB1=0。44),具有预控的优先级别。研究结果为化工行业受限空间事故预防措施的制定提供数据支持及策略参考。
Behavioral Causal Analysis of Confined Space Accidents based on 24Model
In order to effectively prevent confined space accidents in the chemical industry and reduce casualties,based on the statistical data of confined space accidents in the chemical industry,the rules of accident occurrence were clarified.The 24Model system was used to explore the causal factors of the"4·15"major fire poisoning accident,and deeply explore the internal correlation between the factors,calculate the total input and output degree of each causal factor,and thus clarify the priority of preventive measures.The researchs result indicated that the number of confined space accidents in China's chemical industry showed a stable trend of change,with the majority of accidents classified as major accidents(accounting for 65.6%),and the main types of accidents were poisoning and suffocation(accounting for 59.1%).Among the factors causing the"4·15"major fire poisoning accident,the total input and output of LMZ refrigerant synergist incorrectly stored in the workshop basement is the highest(C(B1)=0.44),which has a priority level of pre-control.The research results provide data support and strategic reference for the development of accident prevention measures in confined space in chemical industry.

chemical industryconfined space24Modelaccident causationassociation path

祝冠军、付净、李亚志、刘耀辉、崔健禧

展开 >

吉林化工学院资源与环境工程学院,吉林吉林 132022

太原理工大学安全与应急管理工程学院,山西太原 030600

西安科技大学安全科学与工程学院,陕西西安 710054

化工行业 受限空间 24Model 事故致因 关联路径

吉林省教育厅科研项目吉林化工学院校级重大科研项目吉林化工学院博士启动基金

JJKH20220225SK20200112021036

2024

吉林化工学院学报
吉林化工学院

吉林化工学院学报

影响因子:0.351
ISSN:1007-2853
年,卷(期):2024.41(1)