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[1]林其彪,李鑫,葛樊亮,等.基于数据驱动贝叶斯网络的化工事故风险分析*[J].中国安全生产科学技术,2024,20(4):180-185.[doi:10.11731/j.issn.1673-193x.2024.04.025]
　LIN Qibiao,LI Xin,GE Fanliang,et al.Risk analysis of chemical accidents based on data-driven Bayesian network[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2024,20(4):180-185.[doi:10.11731/j.issn.1673-193x.2024.04.025]
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基于数据驱动贝叶斯网络的化工事故风险分析*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
20
期数:
2024年4期
页码:
180-185
栏目:
职业安全卫生管理与技术
出版日期:
2024-04-30

文章信息/Info

Title:
Risk analysis of chemical accidents based on data-driven Bayesian network
文章编号:
1673-193X(2024)-04-0180-06
作者:
林其彪; 李鑫; 葛樊亮; 阳富强
（1.福州大学 至诚学院，福建 福州 350108；
2.福州大学 环境与安全工程学院，福建 福州 350108）
Author(s):
LIN Qibiao;  LI Xin;  GE Fanliang;  YANG Fuqiang
(1.Zhicheng College,Fuzhou University,Fuzhou Fujian 350108,China;
2.School of Environmental and Safety Engineering,Fuzhou University,Fuzhou Fujian 350108,China)
关键词:
风险分析; 数据驱动; 事故数据; 关联规则; 贝叶斯网络
Keywords:
risk analysis;  data-driven;  accident data;  association rule;  Bayesian network
分类号:
X937
DOI:
10.11731/j.issn.1673-193x.2024.04.025
文献标志码:
A
摘要:
为减少化工厂风险分析中的主观干预，基于关联规则和贝叶斯网络构建1种数据驱动风险分析模型。该模型涵盖3个任务项，分别为数据集项、关联规则驱动项和贝叶斯网络风险评估项。首先，收集事故报告和事故因素构建事故数据库；其次，将事故数据导入Apriori算法，并根据关联规则的因素相关性确定贝叶斯网络和条件概率表结构；然后，基于事故因素出现频率计算先验概率和条件概率，并采用Fussel-Vesely计算事故因素的敏感度；最后，收集94起危险化学品中毒窒息事故实例，运用数据驱动风险分析模型评估事故因素的影响大小。研究结果可为减少和避免化工事故提供一定参考，有助于提高相关企业的整体安全水平。
Abstract:
To reduce the subjective intervention in risk analysis of chemical plants,a data-driven risk analysis model based on the association rules and Bayesian network was constructed,which covered three task items,including data set item,association rule driven item and Bayesian network risk assessment item.Firstly,the accident reports and accident factors were collected to construct an accident database.Secondly,the accident data were imported into the Apriori algorithm,and the structure of Bayesian network and conditional probability table were determined based on the factor correlation of association rules.Then,the prior probability and conditional probability were calculated according to the occurrence frequency of accident factors,and the sensitivity of factors was calculated by Fussel-Vesely.Finally,a chemical poisoning and asphyxiation accident was used as an example,and the influence of the accident factors was assessed using the data-driven risk analysis model.The research results can provide new ideas to reduce and avoid chemical accidents,and help improve the overall safety level of related enterprises.

参考文献/References:

［1］中华人民共和国中央人民政府.天津港“8·12”瑞海公司危险品仓库特别重大火灾爆炸事故调查报告公布［EB/OL］.（2016-02-05）［2023-10-10］.https://www.gov.cn/xinwen/2016-02/05/content_5039785.htm.
［2］河南省自然资源厅.江苏响水天嘉宜化工有限公司“3·21”特别重大爆炸事故调查报告［EB/OL］.(2024-02-06)［2024-03-10］.https://dnr.henan.gov.cn/2024/02-06/2946758.html.
［3］ZHOU Q J,WONG Y D,HUI S L,et al.A fuzzy and bayesian network cream model for human reliability analysis—the case of tanker shipping［J］.Safety Science,2018,105:149-157.
［4］SINGH K,KAUSHI M,KUMAR M.Integrating α-cut interval based fuzzy fault tree analysis with Bayesian network for criticality analysis of submarine pipeline leakage:a novel approach［J］.Process Safety and Environmental Protection,2022,166:189-201.
［5］杨能普,杨月芳,冯伟.基于模糊贝叶斯网络的铁路危险货物运输过程风险评估［J］.铁道学报,2014,36(7):8-15. YANG Nengpu,YANG Yuefang,FENG Wei.Risk assessment of railway dangerous goods transport process based onfuzzy Bayesian network［J］.Journal of the China Railway Society,2014,36(7):8-15.
［6］赵宁宁,赵宇婷.基于事故树和贝叶斯网络的飞机偏冲出跑道风险分析［J］.安全与环境学报,2014,14(3):141-145. ZHAO Ningning ZHAO Yuting.Risk analysis of the runway excursion and overrun event based on the fault tree and Bayesian networks［J］.Journal of Safety and Environment,2014,14(3):141-145.
［7］张超,翁文国,陈勇,等.基于贝叶斯网络的地铁暴雨内涝风险预警模型及协同响应机制研究［J］.中国安全生产科学技术,2023,19(12):179-186. ZHANG Chao,WEN Wenguo,CHEN Yong,et al.Research on risk warning model and collaborative response mechanism of subway rainstorm waterlogging based on Bayesian network［J］.Journal of Safety Science and Technology,2023,19(12):179-186.
［8］DING R,LIU Z H,XU J T,et al.A novel approach for reliability assessment of residual heat removal system for HPR1000 based on failure mode and effect analysis,fault tree analysis,and fuzzy Bayesian network methods［J］.Reliability Engineering and System Safety,2021,216:107911.
［9］HUANG W Q,LI H,FAN H B,et al.Causation mechanism analysis of excess emission of flue gas pollutants from municipal solid waste incineration power plants by employing the fault tree combined with Bayesian network:a case study in Dongguan［J］.Journal of Cleaner Production,2021,327:129533.
［10］余杨,高涵韬,徐立新,等.基于毕达哥拉斯模糊贝叶斯网络的海底管道泄漏风险分析［J］.中国安全生产科学技术,2022,18(11):19-25. YU Yang,GAO Hantao,XU Lixin,et al.Risk analysis on leakage of submarine pipeline based on Pythagorean fuzzy Bayesian network［J］.Journal of Safety Science and Technology,2022,18(11):19-25.
［11］王博,赵志博,多依丽,等.基于模糊贝叶斯网络的煤气化职业健康风险分析［J］.中国安全生产科学技术,2019,15(8):187-192. WANG Bo,ZHAO Zhibo,DUO Yili,et al.Analysis on occupational health risk of coal gasification based on fuzzy Bayesian network［J］.Journal of Safety Science and Technology,2019,15(8):187-192.
［12］BAYAZIT O,KAPTAN M.Evaluation of the risk of pollution caused by ship operations through bow-tie-based fuzzy Bayesian network［J］.Journal of Cleaner Production,2022,382:135386.
［13］BARALDI P,PODOFILLINI L,MKRTCHYAN L,et al.Comparing the treatment of uncertainty in Bayesian networks and fuzzy expert systems used for a human reliability analysis application［J］.Reliability Engineering and System Safety,2015,138(2):176-193.
［14］LAN H,MA X X,QIAO W L,et al.Determining the critical risk factors for predicting the severity of ship collision accidents using a data-driven approach［J］.Reliability Engineering and System Safety,2023,230:108934.
［15］LI X,CHEN C,HONG Y D,et al.Exploring hazardous chemical explosion accidents with association rules and Bayesian networks［J］.Reliability Engineering and System Safety,2023,233:109099.
［16］李鑫,阳富强.危化品事故人为因素关联规则挖掘与分析［J］.中国安全科学学报,2022,32(11):134-139. LI Xin,YANG Fuqiang.Human factor association rules mining and analysis for hazardous chemical accidents［J］.China Safety Science Journal,2022,32(11):134-139.
［17］王艺钦,林卫东,余龙星,等.基于关联规则的燃气事故不安全行为复杂网络研究［J］.中国安全生产科学技术,2023,19(12):121-126. WANG Yiqin,LIN Weidong,YU Longxing,et al.Research on complex network of unsafe behavior in gas accident based on association rules［J］.Journal of Safety Science and Technology,2023,19(12):121-126.
［18］HONG J,TAMAKLOE R,PARK D.Application of association rules mining algorithm for hazardous materials transportation crashes on expressway［J］.Accident Analysis and Prevention,2020,142:105497.
［19］GUO X X,JIE J,KHAN F,et al.Fuzzy bayesian network based on an improved similarity aggregation method for risk assessment of storage tank accident［J］.Process Safety and Environmental Protection,2021,144:242-252.
［20］中华人民共和国应急管理部.警示信息［EB/OL］.（2023-10-20）.https://www.mem.gov.cn/fw/jsxx/.
［21］安徽省应急厅.安徽昊源化工集团有限公司“2022·5·11”较大中毒和窒息事故调查报告［EB/OL］.（2022-08-05）［2023-10-20］.https://yjt.ah.gov.cn/public/9377745/146805771.html.

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备注/Memo

备注/Memo:
收稿日期： 2023-11-13
* 基金项目： 国家自然科学基金项目（52274181）；福建省科技计划区域发展项目（2023Y3001）
作者简介： 林其彪，硕士，讲师，主要研究方向为安全管理。
通信作者： 阳富强，博士，教授，主要研究方向为安全科学与工程。
更新日期/Last Update: 2024-05-09