摘要
为减少铁路作业“三违”行为、避免铁路交通事故,以甘泉铁路近一年的不安全行为观察记录为样本,采用数据归纳法、数据分析法,分析“三违”行为的主要成因;采用人因模型分析对比,选取行动型失误模型作为分析模板,引入关联分析工具决策树C5.0算法建立分析模型,导入成因因子和关联属性,区分神经元与触突,构建神经网络图形结构;通过数据分析得出简化作业流程优先级最高,且其与职工入企时间、职工业务能力紧密相关。研究结果表明:简化作业流程是铁路“三违”行为最主要成因,且入企时间长、业务能力较差的老职工更易简化作业流程;人因失误主要发生在人的执行、计划阶段,铁路企业应结合模型分析结论,针对性制定管控措施,切断“三违”形成的闭环途径,预防铁路人身伤亡事故的发生。
In order to reduce railway violations and avoid railway traffic accidents,taking the observation records of unsafe behavior of Ganquan Railway in the past year as samples,data induction method and data analysis method were used to analyze the main causes of railway violations.The human factor model was used for analysis and comparison,and the action-type error model was selected as the analysis template.The correlation analysis tool decision tree C5.0 algorithm was introduced to establish the analysis model,the causal factors and correlation attributes were introduced,the neurons and contacts were distinguished,and the neural network graphic structure was constructed.After data analysis,it was concluded that the simplified operation process had the highest priority,and it was closely related to the employee's time in the enterprise and the employee's operation ability.The results show that:simplified operation process is the main cause of railway violations.Old employees with long working time and poor operation ability are more likely to simplify the operation process,and human errors mainly occur in the execution and planning stages.Railway enterprises should consider the analysis results of the model and develop targeted control measures to cut off the closed-loop path formed by railway violations,so as to prevent the occurrence of railway personal injury accidents.
作者
景菲
JING Fei(Guoneng Ganquan Railway Co.,Ltd,Bayannur,Inner Mongolia 015000,China)
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2022年第S02期54-59,共6页
China Safety Science Journal
关键词
铁路作业
不安全行为
人因模型
关联分析
决策树
railway operation
violation of regulations
human factor model
analysis of association
decision tree
