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
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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。Abstract: 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.
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Keywords:
- coal mine /
- text mining /
- core inducement /
- associative network /
- associated factors
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[1] 谭章禄，宋庆正．基于扎根理论的煤矿安全事故致因分析[J]．煤矿安全，2017，48（9）：238－240. TAN Zhanglu, SONG Qingzheng. Analysis of coal mine safety accidents based on grounded theory[J]. Safety in Coal Mines, 2017, 48（9）: 238-240.
[2] 阴东玲， 陈兆波， 曾建潮， 等． 煤矿作业人员不安全行为的影响因素分析[J]．中国安全科学学报，2015， 25（12）：151－156. YIN Dongling, CHEN Zhaobo, ZENG Jianchao, et al. Analysis of factors affecting coal mine operators’unsafe acts[J]. China Safety Science Journal, 2015, 25（12）: 151-156.
[3] 孟远，谢东海，苏波，等．2010年－2019年全国煤矿生产安全事故统计与现状分析[J]．矿业工程研究，2020， 35（4）：27－33. MENG Yuan, XIE Donghai, SU Bo. Statistics and analysis of coal mine production safety accidents in China from 2010 to 2019[J]. Mineral Engineering Research, 2020, 35（4）: 27-33.
[4] 李琰，赵梓焱，田水承，等．矿工不安全行为研究综述[J]．中国安全生产科学技术，2016，12（8）：47－54. LI Yan, ZHAO Ziyan, TIAN Shuicheng, et al. Review of research on unsafe behavior of miners[J]. Journal of Safety Science and Technology, 2016, 12（8）: 47-54.
[5] 张长鲁．基于关联规则挖掘的煤矿危险源耦合作用分析[J]．煤矿安全，2016，47（12）：222－225. ZHANG Changlu. Analysis of danger source coupling in coal mines based on association rules mining[J]. Safety in Coal Mines, 2016, 47（12）: 222-225.
[6] 雷煜斌，陈兆波，曾建潮，等．基于关联规则的煤矿瓦斯事故致因链研究[J]．煤矿安全，2016，47（8）：240－243. LEI Yubin, CHEN Zhaobo, ＺENG Jianchao, et al. Research on causal chain of coal mine gas accidents based on association rule[J]. Safety in Coal Mines, 2016, 47（8）: 240-243.
[7] 王少军，宋金成，白朝军，等．关联规则的违规采矿时空发生特征研究[J]．测绘科学，2020，45（4）：168－174. WANG Shaojun, SONG Jincheng, BAI Chaojun, et al. Study the spatial and temporal occurrence characteristics of illegal mining sites based on association rules[J]. Science of Surveying and Mapping, 2020, 45（4）: 168-174.
[8] 石记斌，石记红．关联分析数据挖掘在煤矿瓦斯安全监测预警中的应用[J]．能源与环保，2017，39（8）：1－5. SHI Jibin, SHI Jihong. Application of correlation analysis on data mining in coal mine gas safety monitoring and early warning[J]. China Energy and Environmental Protection, 2017, 39（8）: 1-5.
[9] 陈运启．数据挖掘技术在煤矿隐患管理中的应用[J]． 工矿自动化，2016，42（2）：27－30. CHEN Yunqi. Application of data mining technology in coal mine hidden hazard management[J]. Industry and Mine Automation, 2016, 42（2）: 27-30.
[10] 杨雪，杨娟，张瀚元．基于系统动力学的矿工情绪演化机理研究[J]．煤矿安全，2021，52（1）：252－256. YANG Xue, YANG Juan, ZHANG Hanyuan. Study on emotional evolution mechanism of miners based on system dynamics[J]. Safety in Coal Mines, 2021, 52（1）: 252-256.
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