基于文本挖掘的不安全行为诱因关联网络分析  

Associative network analysis of inducements for unsafe behaviors based on text-mining method

作　　者：李琰[1] 张祎 陈侠君 侯涛 李世玺 LI Yan;ZHANG Yi;CHEN Xiajun;HOU Tao;LI Shixi(School of Management,Xi’an University of Science and Technology,Xi’an 710600,China;Shaanxi Zhengtong Coal Industry Co.,Ltd.,Xianyang 712000,China)

机构地区：[1]西安科技大学管理学院,陕西西安710600 [2]陕西正通煤业有限责任公司,陕西咸阳712000

出　　处：《煤矿安全》2023年第4期251-256,共6页Safety in Coal Mines

基　　金：国家自然科学基金资助项目(51604216,51874237);陕西省社会科学基金资助项目(2020R010);教育部人文社科基金资助项目(21YJA630050);西安市社会科学规划基金资助项目(22GL38)。

摘　　要：煤矿安全事故中不安全行为的发生与多种诱因相关,为探究不安全行为的核心诱因及诱因集之间的关联关系及其对不安全行为的影响,收集了339起煤矿安全事故报告,借助文本挖掘技术提取了37个不安全行为及其诱因特征词,运用Apriori算法进行关联规则挖掘,搭建不安全行为及其诱因关联网络。结果表明:安全意识不够、隐患排查治理不到位、安全生产责任制落实不到位等6类核心诱因会对不安全行为产生直接影响,6组核心关联因素集也会对其产生间接影响;因此,煤矿企业应重点排查核心诱因节点及其关联因素集,以预防不安全行为的发生。The occurrence of safety accidents in coal mine caused by unsafe behaviors is related to various inducements.This paper aims to explore the correlation between the core inducements and the inducements of unsafe behaviors and their influence on unsafe behaviors.In this paper,339 coal mine safety accident reports were collected,and 37 unsafe behaviors and their inducement-related words were extracted with the help of text mining method,and the association rules were mined with Apriori algorithm to build the association network of unsafe behaviors and their inducements.Then,the association rules were analyzed.It is show that six types of core inducements,such as insufficient safety awareness,inadequate investigation and management of hidden dangers,and inadequate implementation of the safety production responsibility system,will have a direct impact on unsafe behavior,and six groups of core correlation factor sets will also have an indirect impact.Therefore,coal mining enterprises should focus on the core inducements and their associated factor sets to prevent the occurrence of unsafe behaviors.

关 键 词：煤矿 文本挖掘 核心诱因 关联网络 关联因素 

分 类 号：TD79[矿业工程—矿井通风与安全]