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[1]高玉坤,冯芊,王皖,等.10 kV带电作业风险评估模型构建与应用研究*[J].中国安全生产科学技术,2024,20(7):208-214.[doi:10.11731/j.issn.1673-193x.2024.07.028]
　GAO Yukun,FENG Qian,WANG Wan,et al.Research on construction and application of risk assessment model for 10kV live working[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2024,20(7):208-214.[doi:10.11731/j.issn.1673-193x.2024.07.028]
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10 kV带电作业风险评估模型构建与应用研究*
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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7期
页码:
208-214
栏目:
职业安全卫生管理与技术
出版日期:
2024-07-31

文章信息/Info

Title:
Research on construction and application of risk assessment model for 10kV live working
文章编号:
1673-193X(2024)-07-0208-07
作者:
高玉坤; 冯芊; 王皖; 秦挺鑫; 张星宇; 王世豪
（1.北京科技大学 土木与资源工程学院，北京 100083；
2.中国标准化研究院，北京100191；
3.北京理工大学 宇航学院，北京100081）
Author(s):
GAO Yukun;  FENG Qian;  WANG Wan;  QIN Tingxin;  ZHANG Xingyu;  WANG Shihao
(1.School of Civil and Resource Engineering,Beijing University of Science and Technology,Beijing 100083,China;
2.China Institute of Standardization,Beijing 100191,China;
3.School of Astronautics,Beijing Institute of Technology,Beijing 100081,China)
关键词:
带电作业; 灰色关联度法; 贝叶斯网络; 风险评估
Keywords:
live working;  grey relational analysis;  Bayesian network;  risk assessment
分类号:
X934
DOI:
10.11731/j.issn.1673-193x.2024.07.028
文献标志码:
A
摘要:
为准确评估带电作业中关于10kV架空线路带电接支接线路引线的风险因素，建立1种基于灰色关联度法和贝叶斯网络模型相结合的风险综合评估模型。首先，通过分析593项带电作业事故案例，利用灰色关联度法计算出人、物、环境、管理4种风险因素关联系数。然后，将带电作业分为验电阶段、确认支接线路阶段、设置绝缘遮蔽—拆除和离开阶段、做支接线路搭接阶段，并针对专家打分结果运用Netica软件计算风险因素后验概率，构建贝叶斯网络安全评估模型。最后，对研究结果进行综合权重计算，建立10 kV带电作业风险评估模型。研究结果表明：贝叶斯后验概率的计算结果更倾向人和设备设施因素，而综合灰度计算之后，提高了环境因素权重，评估结果与以往的历史数据更加吻合。灰度计算结合贝叶斯模型的综合评价方法能够更真实地反映实际电力作业情况。研究结果可为电力作业风险评估提供理论和方法参考。
Abstract:
In order to accurately assess the risk factors of live connecting branch line lead wire for 10 kV overhead line in live working,a comprehensive risk assessment model based on the grey relational analysis and Bayesian network model was established.Firstly,593 cases of live working accidents were analyzed,and the relation coefficients of four risk factors,including human,material,environment and management,were calculated by the grey relational analysis.Secondly,the live working was divided into the electricity checking stage,confirming branch line stage,setting insulation shielding stage,removing and leaving stage,and making branch line lap stage.According to the expert scoring results,the Netica software was used to calculate the posterior probabilities of risk factors,and a Bayesian network safety assessment model was constructed.Finally,the comprehensive weight calculation was conducted on the results,and a risk assessment model of 10 kV live working was established.The results show that the calculation result of Bayesian posterior probability is more inclined to the human factor and the equipment and facility factor,while the weight of environment factor is increased after combining the grey scale calculation.The assessment results are more consistent with the previous historical data,which proves that the comprehensive assessment method of grey scale calculation combined with Bayesian model can more truly reflect the practical power operation situation.The research results can provide theoretical and methodological support for the risk assessment of electric power operations.

参考文献/References:

［1］ALJAROUDJ A，KHAN F，AKINTURK A.Risk assessment of offshore crude oil pipeline failure［J］.Journal of Loss Prevention in the Process Industries，2015，37：101-109.
［2］ALOINI D,DULMIN R,MININNO V.Modelling and assessing ERP project risks:a petri net approach［J］.European Journal of Operational Research，2012，220(2)：484-495.
［3］CHENG H B，HE Z Y，WANG Q,et al.Fault diagnosis method based on petri nets considering service feature of information source devices［J］.Computers and Electrical Engineering，2015，46:1-13.
［4］PETROVIC V D，TANASIJEVIC M，MILIC V,et al.Risk assessment model of mining equipment failure based on fuzzy logic［J］.Expert Systems With Applications，2014，41(18)：8157-8164.
［5］AMIN V,MADJID T,KONSTANTINOS C,et al.A socio-economic and environmental vulnerability assessment model with causal relationships in electric power supply chains［J］.Socio-Economic Planning Sciences，2022，80:101156.
［6］徐斌.10 kV配网旁路带电作业风险与预防控制分析［J］.电工技术，2022(6):166-167，170. XU Bin.Risk prevention and control analysis of 10 kV distribution network bypass live operation ［J］.Electrotechnical Engineering，2022(6):166-167，170.
［7］刘根宝，周莹珣.10 kV配电线路带电作业安全综合评价应用研究［J］.通讯世界，2016(16):140-141.
［8］叶旺，梁健钊，吴天磊.基于朴素贝叶斯算法的电力数据合规风险智能监督方法［J］.电脑编程技巧与维护，2024(2):113-116.
［9］熊家敏，丁宙.基于灰色关联分析法的电力基建施工普通基础作业安全风险评价方法［J］.电工技术，2024(2):199-201，205. XIONG Jiamin，DING Zhou.Safety risk assessment method for common basic operations of electric power infrastructure construction based on grey correlation analysis ［J］.Electric Engineering，2024(2):199-201，205.
［10］宁齐元，段瑜，刘祖德.煤矿安全度与安全成本的灰色关联度研究［J］.安全与环境工程，2009，16（4）：92-94. NING Qiyuan，DUAN Yu，LIU Zude.Study on grey correlation degree between coal mine safety degree and safety cost ［J］.Safety and Environmental Engineering，2009,16(4):92-94.
［11］兰建义，乔美英，周英.基于灰色系统理论的煤矿人因事故关键因素分析［J］.中国安全生产科学技术，2015，11(2):178-185. LAN Jianyi，QIAO Meiying，ZHOU Ying.Analysis of key factors of human factor accidents in coal mines based on grey system theory ［J］.Journal of Safety Science and Technology，2015，11(2):178-185.
［12］全国信息分类与编码标准化技术委员会.生产过程危险和有害因素分类与代码:GB/T 13861—2022［S］.北京：中国标准出版社，2022.
［13］国家电网公司.国家电网公司供电企业安全风险评估规范［M］.北京:中国电力出版社，2008.
［14］朱紫阳,王文钰,田猛,等.变电站操作不安全行为核心影响因素分析［J］.中国安全生产科学技术,2022,18(11):203-208. ZHU Ziyang,WANG Wenyu,TIAN Meng,et al.Analysis of core influencing factors of unsafe behavior during substation operation ［J］.Journal of Safety Science and Technology,2022,18(11):203-208.
［15］胡笑旋.贝叶斯网建模技术及其在决策中的应用［D］.合肥：合肥工业大学，2006.
［16］钟虹,何沙.基于贝叶斯网络的连续管作业人因失误风险因素评价分析［J］.中国安全生产科学技术,2023,19(5):144-150. ZHONG Hong,HE Sha.Evaluation and analysis of human error risk factors for continuous pipe operators based on bayesian networks ［J］.Journal of Safety Science and Technology，2023，19(5)：144-150.

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备注/Memo

备注/Memo:
收稿日期： 2023-12-15
* 基金项目： 山东省重点研发计划项目(2021CXGC011301)
作者简介： 高玉坤，博士，高级工程师，主要研究方向为应急管理、实验室安全。
通信作者： 秦挺鑫，博士，研究员，主要研究方向为公共安全与应急管理标准化。
更新日期/Last Update: 2024-07-26