|本期目录/Table of Contents|

[1]陈志远,王铁骊.基于文本挖掘和复杂网络的事故致因重要度评估方法*——以房屋市政较大以上事故为例[J].中国安全生产科学技术,2022,18(4):224-230.[doi:10.11731/j.issn.1673-193x.2022.04.032]
　CHEN Zhiyuan,WANG Tieli.Evaluation method of accident causes importance based on text mining and complex network:a case study of larger and above accidents in housing and municipal engineering[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(4):224-230.[doi:10.11731/j.issn.1673-193x.2022.04.032]
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基于文本挖掘和复杂网络的事故致因重要度评估方法*——以房屋市政较大以上事故为例
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
18
期数:
2022年4期
页码:
224-230
栏目:
职业安全卫生管理与技术
出版日期:
2022-04-30

文章信息/Info

Title:
Evaluation method of accident causes importance based on text mining and complex network:a case study of larger and above accidents in housing and municipal engineering
文章编号:
1673-193X(2022)-04-0225-07
作者:
陈志远; 王铁骊
（南华大学 经济管理与法学学院，湖南 衡阳 421001）
Author(s):
CHEN Zhiyuan;  WANG Tieli
(School of Economics Management and Law.University of South China.Hengyang Hunan 421001,China)
关键词:
事故致因; 文本挖掘; 复杂网络; 房屋市政工程; DFn-IG
Keywords:
accident cause;  text mining;  complex network;  housing and municipal engineering;  DFn-IG
分类号:
X947；TU714
DOI:
10.11731/j.issn.1673-193x.2022.04.032
文献标志码:
A
摘要:
为充分挖掘事故调查报告中的有效信息，明确安全管理工作的内容。首先，利用文本挖掘分析事故调查报告，采用最小词频阈值文档频改进信息增益评估函数对分词结果降噪，通过回溯特征项在报告中的具体表述，提取事故致因，再构建同义词词库。然后，引入复杂网络以改进TF-IDF，综合事故致因因素的关联特征评估其重要度。最后，以房屋市政较大及以上生产安全事故为例，收集2010—2019年事故调查报告158份，研究结果表明：监督管理不到位是导致房屋市政较大以上事故最重要的因素。本方法可用于发现以往事故的原因，更能全面准确地衡量事故致因的重要度。
Abstract:
To fully extract the useful information from the accident investigation reports and clarify the contents of safety management work.firstly.the accident investigation reports were analyzed by using the text mining.and the minimum word frequency threshold document frequency was used to improve the information gain evaluation function so as to denoise the segmentation results.The accident causes were extracted by tracing the specific expression of characteristic items in the report.and the thesaurus of synonyms was constructed.Secondly.the complex network was introduced to improve the TF-IDF.and its importance was evaluated by synthesizing the correlation characteristics of accident cause factors.Finally.taking the larger and above work safety accidents in housing and municipal engineering as example.158 accident investigation reports from 2010 to 2019 were collected.The results showed that the lack of supervision and management was the most important factor leading to the larger and above accidents in housing and municipal engineering.This method can be used to find the causes of previous accidents.and can more comprehensively and accurately measure the importance of accident causes.

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备注/Memo

备注/Memo:
收稿日期： 2021-07-10
* 基金项目： 湖南省教育厅重点项目(19A438)；湖南省社科基金项目(19JD56)
作者简介： 陈志远，硕士研究生，主要研究方向为数据挖掘与安全管理。
通信作者： 王铁骊，博士，教授，主要研究方向为数据挖掘与安全文化。
更新日期/Last Update: 2022-05-13