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[1]孙逸林,郑小强,刘丹秀,等.城镇燃气管网施工事故风险耦合机理及关键因素分析*[J].中国安全生产科学技术,2023,19(10):5-12.[doi:10.11731/j.issn.1673-193x.2023.10.001]
　SUN Yilin,ZHENG Xiaoqiang,LIU Danxiu,et al.Analysis on risk coupling mechanism and key factors of construction accidents in urban gas pipeline network[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2023,19(10):5-12.[doi:10.11731/j.issn.1673-193x.2023.10.001]
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城镇燃气管网施工事故风险耦合机理及关键因素分析*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
19
期数:
2023年10期
页码:
5-12
栏目:
学术论著
出版日期:
2023-10-31

文章信息/Info

Title:
Analysis on risk coupling mechanism and key factors of construction accidents in urban gas pipeline network
文章编号:
1673-193X(2023)-10-0005-08
作者:
孙逸林; 郑小强; 刘丹秀; 贺艳艳; 李洪兵
（1.西南石油大学 经济管理学院，四川 成都 610500；
2.西南石油大学 能源安全与低碳发展重点实验室，四川 成都 610500；
3.深圳市燃气集团股份有限公司，广东 深圳 518049；
4.四川师范大学 工学院，四川 成都 610101）
Author(s):
SUN Yilin;  ZHENG Xiaoqiang;  LIU Danxiu;  HE Yanyan;  LI Hongbing
(1.School of Economics and Management,Southwest Petroleum University,Chengdu Sichuan 610500,China;
2.Key Laboratory of Energy Security and Low-carbon Development,Southwest Petroleum University,Chengdu Sichuan 610500,China;
3.Shenzhen Gas Co.,Ltd.,Shenzhen Guangdong 518049,China;
4.College of Engineering,Sichuan Normal University,Chengdu Sichuan 610101,China)
关键词:
燃气管网; 风险耦合; 关键因素; N-K模型; 社会网络
Keywords:
gas pipeline network;  risk coupling;  key factor;  N-K model;  social network
分类号:
X932；X947
DOI:
10.11731/j.issn.1673-193x.2023.10.001
文献标志码:
A
摘要:
为研究我国城镇燃气管网施工事故风险耦合机理及关键因素，将风险因素划分为人、机、环、管4类，风险耦合界定为单、双、多因素，进而基于2016—2022年间我国国内158起城镇燃气管网施工事故调查报告，采用N-K模型测度风险耦合水平，运用SNA方法辨识关键风险因素与风险关系。研究结果表明：事故发生概率取决于风险耦合水平，耦合水平与参与因素的数量成正比；4类因素耦合水平较高，人员风险对耦合影响较大；得到关键因素与关键关系，并根据关键因素和关键关系提出风险防控对策。研究结果可为保障城镇燃气管网施工安全提供一定参考。
Abstract:
To explore the risk coupling mechanism and key factors of construction accidents in the urban gas pipeline network of China,firstly,the risk factors were divided into 4 categories of human,machine,environment and management,and the risk coupling was divided into 3 types,which included single,double and multi-factors risk coupling.Secondly,based on 158 accident investigation reports in mainland China from 2016 to 2022,the N-K model was applied to measure the risk coupling level,and the Social Network Analysis (SNA) method was applied to identify the key risk factors and risk relationships.The results show that the occurrence probability of accidents depends on the level of risk coupling,which is directly proportional to the number of risk factors involved in coupling.The coupling level of four types of factors is the highest,and the human risk has the greatest influence on risk coupling.Obtain key factors and relationships,and the risk prevention and control countermeasures are put forward.The results have reference significance for ensuring the construction safety of urban gas pipeline network.

参考文献/References:

［1］YANG Y,LI S Z,ZHANG P C.Data-driven accident consequence assessment on urban gas pipeline network based on machine learning［J］.Reliability Engineering & System Safety,2022,219:108216.
［2］孙逸林,王冶,刘险峰,等.基于24 Model的燃气管道维抢事故致因定量分析方法［J］.油气储运,2022,41(7):795-801. SUN Yilin,WANG Ye,LIU Xianfeng,et al.Quantitative analysis method for causal factors of gas pipeline repair and rescue accidents based on 24 Model［J］.Oil & Gas Storage and Transportation,2022,41(7):795-801.
［3］LI X H,ZHANG Y,ABBASSI R,et al.Dynamic probability assessment of urban natural gas pipeline accidents considering integrated external activities［J］.Journal of Loss Prevention in the Process Industries,2021,69:104388.
［4］杜雨霁,付明,李静,等.基于Logistic回归的燃气管网风险因素重要度分析方法研究［J］.中国安全生产科学技术,2023,19(4):114-120. DU Yuji,FU Ming,LI Jing,et al.Research on importance analysis method for risk factors of gas pipeline network based on Logistic regression［J］.Journal of Safety Science and Technology,2023,19(4):114-120.
［5］SATYAM R,NEHA S,AKSHI S,et al.City gas distribution incident analysis in India usingpareto principle:a comprehensive analysis［J］.Journal of Failure Analysis and Prevention,2022,22:899-911.
［6］李聪,徐子烜,王雨情,等.城市燃气管网泄漏事故分析知识图谱构建及应用研究［J］.中国安全生产科学技术,2022,18(10):5-12. LI Cong,XU Zixuan,WANG Yuqing,et al.Construction and application of knowledge graph for leakage accident analysis of urban gas pipeline network［J］.Journal of Safety Science and Technology,2022,18(10):5-12.
［7］付邦稳,蒋宏业,徐涛龙,等.基于N-K模型的城市燃气管道失效可能性因素耦合分析［J］.中国安全生产科学技术,2018,14(2):145-149. FU Bangwen,JIANG Hongye,XU Taolong,et al.Coupling analysis on failure possibility factors of urban gas pipeline based on N-K model［J］.Journal of Safety Science and Technology,2018,14(2):145-149.
［8］孙世梅,高小迪,孙赫,等.天然气管道施工事故行为原因研究［J］.中国安全科学学报,2020,30(6):8-13. SUN Shimei,GAO Xiaodi,SUN He,et al.Study on causes of accidents in construction of natural gas pipelines［J］.China Safety Science Journal,2020,30(6):8-13.
［9］KAUFFMANS A.The origins of order:self-organization and selection in evolution［M］.New York:Oxford University Press,1993.
［10］ZHANG J J,XU K L,YOU G,et al.Causation analysis of risk coupling of gas explosion accident in Chinese underground coal mines［J］.Risk Analysis,2019,39(7):1634-1646.
［11］DENG J,LIU S Y,XIE C,et al.Risk coupling characteristics of maritime accidents in Chinese inland and coastal waters based on N-K model［J］.Journal of Marine Science and Engineering,2022,10(1):10010004.
［12］HUANG W C,YIN D Z,XU Y F,et al.Using N-K model to quantitatively calculate the variability in functional resonance analysis method［J］.Reliability Engineering & System Safety,2022,217:108058.
［13］YUE R T,LI J W,HAN M.Aviation accident causation analysis based on complex network theory［J］.Transactions of Nanjing University of Aeronautics and Astronautics,2021,38(4):646-655.
［14］彭知军,王天宝.燃气行业施工生产安全事故案例分析与预防［M］.北京：中国建筑工业出版社,2021.
［15］刘军.整体网分析（第三版）——Ucinet软件实用指南［M］.上海：上海人民出版社,2019.

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备注/Memo

备注/Memo:
收稿日期： 2023-03-30
* 基金项目： 国家社会科学基金项目（21BZZ058）；国家自然科学基金青年基金项目（52004241）；四川省科技计划项目（2023NSFSC1038）；西南石油大学科技攻关项目（2019CXTD12）
作者简介： 孙逸林，博士研究生，主要研究方向为复杂社会技术系统建模、城镇燃气安全管理。
通信作者： 郑小强，博士，教授，主要研究方向为能源经济、风险管理与可持续发展。
更新日期/Last Update: 2023-11-06