摘要
针对复杂多样的事故原因对制造工人作业安全造成的影响,文中对制造工人作业事故报告的数据进行了收集整理,提取制造工人作业事故报告的风险因素,进行人为因素数据分析;构建基于数据驱动的作业事故模型,探究人为因素对事故类型的影响;进行敏感性分析验证模型有效性,通过情景分析构造高风险事故场景,揭示事故类型最可能发生的情况,帮助识别工人作业的潜在危害,为制造企业事故预防提供理论支持。
Various factors lead to operation accidents,which have influence on safety of manufacturing workers.In this article,efforts are made to collect and straight out the reported data on those accidents.Then,the risk factors are extracted;the data on the human factors are analyzed.Besides,a data-driven model of operation accidents is set up to explore the influence of the human factors on the accident types.Finally,the sensitivity analysis is carried out to verify whether the model is valid,and the highrisk accident scenarios are constructed by means of the scenario analysis,so as to reveal the most frequent accident types,which is helpful to identify the potential hazard of operations and provide theoretical support for accident prevention in manufacturing enterprises.
作者
梁迪
李羽婷
辛江
卢列兆
LIANG Di;LI Yu-ting;XIN Jiang;LU Lie-zhao(School of Mechanical Engineering,Shenyang University,Shenyang 110044)
出处
《机械设计》
CSCD
北大核心
2022年第12期72-77,共6页
Journal of Machine Design
关键词
贝叶斯网络
制造工人
作业事故
人为因素
数据驱动
情景分析
Bayesian network
manufacturing worker
operation accident
human factor
data-driven
scenario analysis
