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[1]朱林,罗筵疆,黄思琪,等.油气钻井现场工人不安全行为模式研究*——基于文本挖掘视角[J].中国安全生产科学技术,2025,21(1):146-152.[doi:10.11731/j.issn.1673-193x.2025.01.019]
　ZHU Lin,LUO Yanjiang,HUANG Siqi,et al.Study on unsafe behavior patterns of workers on oil and gas drilling sites:based on text mining perspective[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2025,21(1):146-152.[doi:10.11731/j.issn.1673-193x.2025.01.019]
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油气钻井现场工人不安全行为模式研究*——基于文本挖掘视角
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
21
期数:
2025年1期
页码:
146-152
栏目:
职业安全卫生管理与技术
出版日期:
2025-01-30

文章信息/Info

Title:
Study on unsafe behavior patterns of workers on oil and gas drilling sites:based on text mining perspective
文章编号:
1673-193X(2025)-01-0146-07
作者:
朱林; 罗筵疆; 黄思琪; 钟赟; 唐桃; 岑康
（1.西南石油大学 土木工程与测绘学院，四川 成都 610500;
2.中国石油集团川庆钻探工程有限公司川西钻探公司，四川 成都 610056;
3.川庆钻探安全环保质量监督研究院，四川 德阳 618300）
Author(s):
ZHU Lin;  LUO Yanjiang;  HUANG Siqi;  ZHONG Yun;  TANG Tao;  CEN Kang
(1.School of Civil Engineering and Geomatics,Southwest Petroleum University,Chengdu Sichuan 610500,China;
2.Chuanxi Drilling Company,CNPC Chuanqing Drilling Engineering Company Limited,Chengdu Sichuan 610056,China;
3.Safety and Environmental Quality Supervision and Inspection Institute,CNPC Chuanqing Drilling Engineering Company Limited,Deyang Sichuan 618300,China)
关键词:
安全社会工程; 不安全行为; 智能文本挖掘; 油气现场工人; 文本聚类; 关联规则; 行为模式
Keywords:
safety social engineering;  unsafe behavior;  intelligent text mining;  workers on oil and gas sites;  text clustering;  association rule;  behavior pattern
分类号:
X913
DOI:
10.11731/j.issn.1673-193x.2025.01.019
文献标志码:
A
摘要:
为加强油气钻井现场安全管理，理解钻井现场工人不安全行为规律，提出基于文本挖掘视角的钻井现场工人不安全行为模式分析框架，以钻井现场工人违章数据为实例进行验证。首先采用频率分析和网络分析方法发现钻井工人高频不安全行为热点，其次采用文本社群聚类分析钻井工人不安全行为聚类，最后采用文本关联规则发现和检验典型不安全行为发生模式。研究结果表明：钻井现场工人不安全行为模式包括7个不安全行为社群和66条不安全行为发生模式，其中油气钻井现场系统与外部系统耦合处、班前会议、钻井下钻和钻进作业、登高作业是现场不安全行为监管的脆弱点。研究结果可为钻井现场安全管理优化提供支持，有利于为钻井现场智慧安全治理提供参考。
Abstract:
In order to strengthen the safety management of oil and gas drilling site and understand the laws of unsafe behavior of workers on drilling site,a framework for analyzing the unsafe behavior patterns of workers on drilling site based on the text mining perspective was proposed,and it was validated by using the cases of violation data of workers on drilling site.Firstly,the frequency analysis and network analysis methods were employed to identify the high-frequency unsafe behavior hotspots among drilling workers.Secondly,the text community clustering was used to analyze the clusters of unsafe behavior of drilling workers.Finally,the text association rules were applied to discover and validate the occurrence patterns of typical unsafe behavior.The results show that the unsafe behavior patterns of workers on drilling site include 7 unsafe behavior communities and 66 occurrence patterns of unsafe behavior.Among them,the coupling of oil and gas drilling site system and external system,pre-shift meeting,tripping and drilling operation,and working at heights are the vulnerable points of on-site unsafe behavior supervision.The research results can provide support for the optimization of drilling site safety management,and provide reference for intelligent safety governance of drilling sites.

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备注/Memo

备注/Memo:
收稿日期： 2024-04-30
* 基金项目： 国家社会科学基金重大项目（22&ZD105）；国家社会科学基金项目（20XJY006）；四川省哲学社会科学基金项目（SCJJ24ND060）；四川省软科学研究计划项目（2017ZR0155）；西南石油大学科研“启航计划”项目（202111103）；西南石油大学校级人文社科专项基金项目（2021RW041）；中国建设劳动学会《住房和城乡建设高质量发展要素和人才支撑》科研项目（CCLI2023R002）；成渝地区双城经济圈科技创新与新经济研究中心20
更新日期/Last Update: 2025-01-26