|本期目录/Table of Contents|

[1]许慧,蔡林.轨道交通运营风险事件的事理图谱构建及演化分析*[J].中国安全生产科学技术,2024,20(4):12-19.[doi:10.11731/j.issn.1673-193x.2024.04.002]
 XU Hui,CAI Lin.Construction and evolution analysis on event causal graph of operational risk events in rail transit[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2024,20(4):12-19.[doi:10.11731/j.issn.1673-193x.2024.04.002]
点击复制

轨道交通运营风险事件的事理图谱构建及演化分析*
分享到:

《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:
12-19
栏目:
学术论著
出版日期:
2024-04-30

文章信息/Info

Title:
Construction and evolution analysis on event causal graph of operational risk events in rail transit
文章编号:
1673-193X(2024)-04-0012-08
作者:
许慧蔡林
(1.重庆邮电大学 经济管理学院,重庆 400065;
2.重庆邮电大学 理学院,重庆 400065)
Author(s):
XU Hui CAI Lin
(1.School of Economics and Management,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;
2.College of Science,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)
关键词:
轨道交通运营风险事件事理图谱Bert模型层次聚类事件泛化
Keywords:
operational risk events in rail transit event causal graph Bert model hierarchical clustering event generalization
分类号:
X951
DOI:
10.11731/j.issn.1673-193x.2024.04.002
文献标志码:
A
摘要:
为厘清轨道交通运营风险中碎片化、口语化事件信息的演化逻辑,以轨道交通运营风险事件新闻中的部分内容作为数据源,抽取事件信息和事件关系,通过Neo4j构建轨道交通运营风险事件的事理图谱,进而利用Bert模型、层次聚类和莱文斯坦距离对风险事件进行泛化,并进一步梳理得出泛化事件的逻辑关系,由此得到轨道交通运营风险事件的演化路径和发展方向。研究结果表明:层次聚类方法中轮廓系数大于0.9,本文方法具有可行性。研究结果可为轨道交通运营风险防范及应急决策选择提供参考和支持。
Abstract:
In order to clarify the evolutionary logic of fragmented and colloquial event information in the operational risk of rail transit,taking part of the contents of news about the operation risk events in rail transit as the data source,the event information and event relationship were extracted,and an event causal graph of the operation risk events in rail transit was constructed by Neo4j.The Bert model,hierarchical clustering,and Levenstein distance were used to generalize the risk events.Furthermore,the logic relationship of generalized events was further clarified,and the evolution path and development direction of operational risk events in rail transit were obtained.The results show that the silhouette coefficient in the hierarchical clustering method is greater than 0.9,which demonstrates the feasibility of the proposed method.The research results can provide reference and support for risk prevention and emergency decision-making in rail transit operation.

参考文献/References:

[1]中国城市轨道交通系统协会.城市轨道交通系统2022年度统计和分析报告[EB/OL].(2023-03-31)[2024-01-12].https://www.camet.org.cn/tjxx/11944.
[2]周义棋,刘畅,龙增,等.电网应急预案知识图谱构建方法与应用[J].中国安全生产科学技术,2023,19(1):5-13. ZHOU Yiqi,LIU Chang,LONG Zeng,et al.Construction method and application of knowledge graph in emergency plans for power grid[J].Journal of Safety Science and Technology,2023,19(1):5-13.
[3]许慧,廖桧铭.基于知识图谱的建筑工程施工事故智能分析[J].中国安全生产科学技术,2023,19(3):46-52. XU Hui,LIAO Huiming.Intelligent analysis of construction accidents in construction engineering based on knowledge graph[J].Journal of Safety Science and Technology,2023,19(3):46-52.
[4]王翠,胡昊天,邓三鸿.面向道路交通违法行为的事理图谱构建技术[J].交通信息与安全,2022,40(1):36-44. WANG Cui,HU Haotian,DENG Sanhong.Development of a knowledge base for reasoning penalty for traffic violations based on event evolutionary graph[J].Journal of Transport Information and Safety,2022,40(1):36-44.
[5]曾子明,李青青,孙守强,等.面向突发公共卫生事件网络舆情的事理图谱构建及演化分析[J].情报理论与实践,2023,46(8):147-155. ZENG Ziming,LI Qingqing,SUN Shouqiang,et al.Construction of the event evolution graph and analysis of evolutionary situation of network public opinion for public health emergencies[J].Information Studies:Theory & Application,2023,46(8):147-155.
[6]MAO Q R,LI X,PENG H,et al.Event prediction based on evolutionary event ontology knowledge[J].Future Generation Computer Systems,2021,115:76-89.
[7]单晓红,庞世红,刘晓燕,等.基于事理图谱的政策影响分析方法及实证研究[J].复杂系统与复杂性科学,2019,16(1):74-82. SHAN Xiaohong,PANG Shihong,LIU Xiaoyan,et al.Analysis and empirical study of policy impact based on event evolution graph[J].Complex Systems and Complexity Science,2019,16(1):74-82.
[8]ZHOU B,HUA B,GU X H,et al.An end-to-end tabular information-oriented causality event evolutionary knowledge graph for manufacturing documents[J].Advanced Engineering Informatics,2021,50:101441.
[9]LI Y H,WU J J,CHEN X H,et al.TMG:a topology-based motion generalization method with spatial relationship preservation[J].Robotics and Autonomous Systems,2023,166:104445.
[10]田依林,李星.基于事理图谱的新冠肺炎疫情网络舆情演化路径分析[J].情报理论与实践,2021,44(3):76-83. TIAN Yilin,LI Xing.Analysis on the evolution path of COVID-19 network public opinion based on the event evolutionary graph[J].Information Studies:Theory & Application,2021,44(3):76-83.
[11]徐海玲.基于事理图谱的多维特征网络舆情演化路径研究[J].情报科学,2022,40(7):48-54. XU Hailing.The evolution path of multi-dimensional feature network public opinion based on the event evolutionary graph [J].Information Science,2022,40(7):48-54.
[12]于赐龙,史振宇,谢允昊,等.基于自然语言处理的舆情分析和股价涨跌预测系统[J].系统工程,2021,39(5):114-123. YU Cilong,SHI Zhenyu,XIE Yunhao,et al.Public opinion analysis and stock index prediction system based on natural language processing[J].Systems Engineering,2021,39(5):114-123.
[13]CABEZAS L M C,IZBICKI R,STERN R B.Hierarchical clustering:visualization,feature importance and model selection[J].Applied Soft Computing,2023,141:110303.
[14]朱连江,马炳先,赵学泉.基于轮廓系数的聚类有效性分析[J].计算机应用,2010,30(增刊2):139-141,198. ZHU Lianjiang,MA Bingxian,ZHAO Xuequan.Clustering validity analysis based on silhouette coefficient[J].Journal of Computer Applications,2010,30(Supplement 2):139-141,198.
[15]李腾,吕飞鹏,王星宇,等.基于烟花算法计算莱文斯坦距离权重的虚端子自动连接方法[J].电测与仪表,2023,60(11):90-94. LI Teng,LYU Feipeng,WANG Xingyu,et al.Virtual terminal automatic connection method for calculating Levenstein distance weight based on fireworks algorithms[J].Electrical Measurement & Instrumentation,2023,60(11):90-94.
[16]PUTRA M E W,SUWARDI I S.Structural off-line handwriting character recognition using approximate subgraph matching and levenshtein distance[J].Procedia Computer Science,2015,59:340-349.
[17]崔竞松,薛慧,王兰兰,等.LEDA:一种基于Levenshtein距离的DNA序列拼接算法[J].武汉大学学报(理学版),2022,68(3):271-278. CUI Jingsong,XUE Hui,WANG Lanlan,et al.LEDA:a DNA sequence assembly algorithm based on Levenshtein distance[J].Journal of Wuhan University(Natural Science Edition),2022,68(3):271-278.
[18]中华人民共和国中央人民政府.中华人民共和国突发事件应对法(主席令第六十九号)[EB/OL]. (2007-08-30)[2024-04-08].https://www.gov.cn/zhengce/2007-08/30/content_2602205.htm?eqid=bce3f9d30009323c00000002648127c4.
[19]新华网.北京地铁列车今晨起火 内环线停运50分钟[EB/OL].(2005-08-26)[2024-04-08].https://news.sina.com.cn/c/2005-08-26/09446786633s.shtml.
[20]GEEKSFORGEEKS.Implementing agglomerative clustering using sklearn[EB/OL].(2010-02-01)[2024-04-04].https://www.geeksforgeeks.org/implementing-agglomerative-clustering-using-sklearn/.
[21]GDALYAHU Y,WEINSHALL D,WERMAN M.Self-organization in vision:stochastic clustering for image segmentation,perceptual grouping,and image database organization[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2001,23(10):1053-1074.

相似文献/References:

[1]林穿,徐启峰,黄奕钒.基于事理图谱的电力安全事故预控方法*[J].中国安全生产科学技术,2021,17(10):39.[doi:10.11731/j.issn.1673-193x.2021.10.006]
 LIN Chuan,XU Qifeng,HUANG Yifan.Pro-control method of power safety accidents based on event evolutionary graph[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2021,17(4):39.[doi:10.11731/j.issn.1673-193x.2021.10.006]
[2]李诗轩.基于事理图谱的公共卫生事件次生衍生事件预警模型构建研究*[J].中国安全生产科学技术,2024,20(3):12.[doi:10.11731/j.issn.1673-193x.2024.03.002]
 LI Shixuan.Construction of early-warning model for secondary and derivative events of public health emergencies based on event evolutionary graph[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2024,20(4):12.[doi:10.11731/j.issn.1673-193x.2024.03.002]

备注/Memo

备注/Memo:
收稿日期: 2023-11-15
* 基金项目: 国家社会科学基金项目(22XGL013)
作者简介: 许慧,博士,副教授,主要研究方向为基础设施风险管理、智能公共安全。
更新日期/Last Update: 2024-05-09