|本期目录/Table of Contents|

[1]谭章禄,陈孝慈.基于文本挖掘的煤矿安全隐患管理研究[J].中国安全生产科学技术,2020,16(2):43-48.[doi:10.11731/j.issn.1673-193x.2020.02.007]
　TAN Zhanglu,CHEN Xiaoci.Research on management of hidden danger in coal mine based on text mining[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2020,16(2):43-48.[doi:10.11731/j.issn.1673-193x.2020.02.007]
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基于文本挖掘的煤矿安全隐患管理研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
16
期数:
2020年2期
页码:
43-48
栏目:
学术论著
出版日期:
2020-02-29

文章信息/Info

Title:
Research on management of hidden danger in coal mine based on text mining
文章编号:
1673-193X(2020)-02-0043-06
作者:
谭章禄; 陈孝慈
(中国矿业大学(北京) 管理学院，北京 100083)
Author(s):
TAN Zhanglu;  CHEN Xiaoci
(School of Management,China University of Mining & TechnologyBeijing,Beijing 100083,China)
关键词:
隐患; 安全管理; Word2Vec; 词向量; 桑基图
Keywords:
hidden danger;  safety management;  Word2Vec;  word vector;  Sankey diagram
分类号:
X923
DOI:
10.11731/j.issn.1673-193x.2020.02.007
文献标志码:
A
摘要:
为探寻安全隐患的内在特征，加深安全管理人员对安全隐患的理解，提升安全管理效率。以潞安集团司马煤业有限公司2009—2015年安全隐患记录为数据源，利用Word2Vec模型构建安全隐患词向量模型，从模型中获取各类安全隐患主要相关词，利用桑基图解释安全隐患在不同隐患地点、生产作业单位的特征分布，并进一步揭示相关安全隐患的细节特征。结果表明：词向量模型能有效发掘安全隐患特征，桑基图能突出呈现安全隐患的关键信息流动。上述措施有助于管理人员深刻理解安全隐患数据中蕴含的潜在规律，为煤矿安全隐患排查治理工作提供依据，指导安全管理实践。
Abstract:
In order to explore the inherent characteristics of hidden danger,deepen the understanding of safety managers on the hidden danger,and improve the efficiency of safety management,taking the records of hidden danger in Sima Coal Industry Co.,Ltd.of Lu’an Group from 2009 to 2015 as the data source,a word vector model of hidden danger was constructed by using the Word2Vec model,and the main relevant words of various hidden danger were obtained from the model.The Sankey diagram was used to explain the characteristics and distribution of hidden dangers in different locations and operation units,and the detail characteristics of relevant hidden danger were revealed further.The results showed that the word vector model could effectively explore the characteristics of hidden danger,and the Sankey diagram could prominently present the key information flow of hidden danger.The above measures are helpful for the managers to deeply understand the potential rules contained in the data of hidden danger,and provide basis for the investigation and governance of hidden danger in the coal mine,as well as guiding the practice of safety management.

参考文献/References:

［1］牛毅,樊运晓,高远.基于数据挖掘的化工生产事故致因主题抽取［J］.中国安全生产科学技术,2019,15(10):165-170. NIU Yi,FAN Yunxiao,GAO Yuan.Topic extraction on causes of chemical production accidents based on data mining［J］.Journal of Safety Science and Technology,2019,15(10):165-170.
［2］张长鲁.煤矿事故隐患大数据处理与知识发现分析方法研究［J］.中国安全生产科学技术,2016,12(9):176-181. ZHANG Changlu.Study on big data processing and knowledge discovery analysis method for safety hazard in coal mine［J］.Journal of Safety Science and Technology,2016,12(9):176-181.
［3］王明达,陈泼,陈子新,等.基于文本挖掘的物探作业事故分析方法［J］.西安石油大学学报(自然科学版),2019,34(4):119-126. WANG Mingda,CHEN Po,CHEN Zixin,et al.Analysis method of accidents in geophysical prospecting operation based on text mining［J］.Journal of Xi’an Shiyou University(Natural Science Edition),2019,34(4):119-126.
［4］李新琴,史天运,李平,等.基于进化集成分类器的铁路安全隐患智能分类［J］.交通信息与安全,2019,37(2):33-39. LI Xinqin,SHI Tianyun,LI Ping,et al.Intelligent classification of railway safety hazards based on evolutionary ensemble classifier［J］.Journal of Transport Information and Safety,2019,37(2):33-39.
［5］谢斌红,马非,潘理虎,等.煤矿安全隐患信息自动分类方法［J］.工矿自动化,2018,44(10):10-14. XIE Binhong,MA Fei,PAN Lihu,et al.Automatic classification method of coal mine safety hidden danger information［J］.Industry and Mine Automation,2018,44(10):10-14.
［6］原国家安全生产监督管理总局.企业职工伤亡事故分类标准：GB 6441—1986［S］.北京:中国标准出版社,1986.
［7］全国信息分类与编码标准化技术委员会.生产过程危险及有害因素分类与代码：GB/T 13861—2009 ［S］.北京:中国标准出版社,2009.
［8］HINTON G E.Learning distributed representations of concepts［C］//Proceedings of the eighth annual conference of the cognitive science society,1986：1-12.
［9］GUTHRIE D,ALLISON B,LIU W,et al.A closer look at skip-gram modelling［C］// The International Conference on Language Resources and Evaluation,2006:1222-1225.
［10］BOJANOWSKI P,GRAVE E,JOULIN A,et al.Enriching word vectors with subword information［J］.Transactions of the Association for Computational Linguistics,2017,5:135-146.
［11］COLLOBERT R,WESTON J,BOTTOU L,et al.Natural language processing(almost) from scratch［J］.Journal of Machine Learning Research，2011，12(8):2493-2537.
［12］LAI S,LIU K,HE S,et al.How to generate a good word embedding［J］.IEEE Intelligent Systems,2016,31(6):5-14.
［13］MIKOLOV T,SUTSKEVER I,CHEN K,et al.Distributed representations of words and phrases and their compositionality［C］//Advances in Neural Information Processing Systems,2013:3111-3119.
［14］BENGIO Y,DUCHARME R,VINCENT P,et al.A neural probabilistic language model［J］.Journal of Machine Learning Research,2003,3(2):1137-1155.
［15］ZHANG D,XU H,SU Z,et al.Chinese comments sentiment classification based on Word2Vec and SVMperf［J］.Expert Systems with Applications,2015,42(4):1857-1863.

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备注/Memo

备注/Memo:
收稿日期： 2019-11-27
* 基金项目： 国家自然科学基金项目（61471362）
作者简介： 谭章禄，博士，教授，主要研究方向为可视化管理、煤炭企业信息化等。
通信作者： 陈孝慈，博士研究生，主要研究方向为可视化管理、知识可视化等。
更新日期/Last Update: 2020-03-16