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基于文本挖掘的叉车事故致因因素分析

刘宇 邓代军 李军

起重运输机械Issue(13):46-52,7.
起重运输机械Issue(13):46-52,7.

基于文本挖掘的叉车事故致因因素分析

刘宇 1邓代军 1李军1

作者信息

  • 1. 湖北特种设备检验检测研究院宜昌分院 宜昌 443005
  • 折叠

摘要

Abstract

To more scientifically analyze the relationship between the causative factors of forklift accidents,reveal the evolution mechanism of accidents and effectively prevent accidents,based on 118 forklift accident reports officially notified in recent five years,16 accident-causing factors from four aspects,namely personnel,equipment,environment and management,were extracted,and the association rules among causative factors were mined by Apriori algorithm.Then,based on the co-occurrence matrix,the causative factor network diagram was drawn,and the key causative factors of forklift accidents were determined through the analysis on degree centrality,tight centrality and betweenness centrality.The results show that operation against rules,lack of safety awareness,inadequate investigation of potential safety hazards,lack of safety management system and inadequate safety education and training are the key factors leading to forklift accidents.

关键词

叉车事故/事故致因/文本挖掘/关联规则/Apriori算法

Key words

forklift accident/causative factor of accident/text mining/Association rules/Apriori algorithm

分类

机械制造

引用本文复制引用

刘宇,邓代军,李军..基于文本挖掘的叉车事故致因因素分析[J].起重运输机械,2024,(13):46-52,7.

起重运输机械

1001-0785

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