Research on subway operation safety risk management based on ontology technology

doi:10.16265/j.cnki.issn1003-3033.2023.S1.2536

Abstract

Abstract:

In order to promote the sharing and practice of subway operation safety risk knowledge and improve the level of subway operation safety management, this study proposed the construction and application methods of subway operation safety risk ontology. Firstly, this paper introduced the ontology technology and analyzed its advantages in the field of safety risk management. Then, the safety accidents during subway operations in China and abroad were collected, and the domain ontology model of subway operation safety risks was constructed from five aspects: causes, accident types, accident consequences, accident grades, and countermeasures. Finally, association rule analysis and rule construction were carried out based on ontology technology, and the fire accident was taken as an example to carry out the rule-based reasoning research on the fire risk during the subway operation. The results show that the systematic analysis and structured storage of subway operation safety risk knowledge can be achieved based on ontology technology, and rule-based reasoning can be used to determine the level of safety accidents and match response measures, so as to assist emergency decision-making.

Key words: ontology technology, subway operation, safety management, rule-based reasoning, fire accident

DENG Yongliang, ZHANG Ying, LUO Li, LI Yang, LIN Lingna. Research on subway operation safety risk management based on ontology technology[J]. China Safety Science Journal, 2023, 33(S1): 35-41.

Figures/Tables 7

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References 14

[1]	刘双庆, 尤秋菊, 张世杰. 基于事故统计分析的地铁运营安全管理研究[J]. 安全, 2019, 40(1): 62-66.
	LIU Shuangqing, YOU Qiuju, ZHANG Shijie. The study of subway operation safety management based on statistical analysis of accidents[J]. Safety & Security, 2019, 40(1):62-66.
[2]	牟庆泉, 丁小兵, 刘志钢, 等. 基于地铁运营日志文本挖掘的危险源辨识算法研究[J]. 中国安全生产科学技术, 2022, 18(3): 204-210.
	MU Qingquan, DING Xiaobing, LIU Zhigang, et al. Research on identification algorithm of hazard sources based on text mining ofmetro operation log[J]. Journal of Safety Science and Technology, 2022, 18(3): 204-210.
[3]	李晓娟. 地铁运营安全风险分析[J]. 工程管理学报, 2017, 31(1): 83-88.
	LI Xiaojuan. Analysis on the safety risk of subway operation[J]. Journal of Engineering Management, 2017, 31(1): 83-88.
[4]	马云东, 孙佳君, 王洪德. 基于OWA-AHP和熵权法的地铁运营安全风险评估[J]. 大连交通大学学报, 2019, 40(4): 86-91.
	MA Yundong, SUN Jiajun, WANG Hongde. Subway operation security risk assessment based on OWA-AHP and entropy weight method[J]. Journal of Dalian Jiaotong University, 2019, 40(4): 86-91.
[5]	陈文瑛, 杜艳洋, 张艺凡, 等. 基于复杂网络的地铁运营风险传导规律研究[J]. 安全与环境工程, 2017, 24(3): 170-174.
	CHEN Wenying, DU Yanyang, ZHANG Yifan, et al. Research on metro risk conduction based on complex network theory[J]. Safety and Environmental Engineering, 2017, 24(3): 170-174.
[6]	宋亮亮, 李启明, 陆莹, 等. 城市地铁系统脆弱性影响因素研究[J]. 中国安全科学学报, 2016, 26(5): 64-69.
	SONG Liangliang, LI Qiming, LU Ying, et al. Research on factors affecting vulnerability of subway system[J]. China Safety Science Journal, 2016, 26(5): 64-69.
[7]	SUN Jian, GUAN Shituo. Measuring vulnerability of urban metro network from line operation perspective[J]. Transportation Research Part A: Policy and Practice, 2016, 94:348-359. doi: 10.1016/j.tra.2016.09.024
[8]	王如冰, 万欣, 毛鹏. 乘客不安全行为与地铁事故关联性的fsQCA[J]. 中国安全科学学报, 2020, 30(7): 152-158. doi: 10.16265/j.cnki.issn1003-3033.2020.07.023
	WANG Rubing, WAN Xin, MAO Peng. Relevance study between unsafe behaviors of passengers and metro accidents based on fsQCA[J]. China Safety Science Journal, 2020, 30(7): 152-158. doi: 10.16265/j.cnki.issn1003-3033.2020.07.023
[9]	林晓飞, 林必毅, 宋守信. 地铁乘客火灾应激反应过程模型构建与分析[J]. 中国安全科学报, 2021, 31(3): 142-147.
	LIN Xiaofei, LIN Biyi, SONG Shouxin. Model construction and analysis of fire stress response process of subway passengers[J]. China Safety Science Journal, 2021, 31(3): 142-147. doi: 10.16265/j.cnki.issn1003-3033.2021.03.020
[10]	LI Qiming, DENG Yongliang, LIU Cong. Modeling and analysis of subway fire emergency response: an empirical study[J]. Safety Science, 2016, 84: 171-180. doi: 10.1016/j.ssci.2015.12.003
[11]	WU Haitao, ZHONG Botao, MEDJDOUB B, et al. An ontological metro accident case retrieval using CBR and NLP[J]. Applied Sciences-Basel, 2020, 10(15):DOI:10.3390/app10155298.
[12]	杨连报, 李平. 基于本体的高速铁路车载设备智能维护决策树模型[J]. 铁道运输与经济, 2017, 39(2): 55-59.
	YANG Lianbao, LI Ping. Ontology-based decision tree model for intelligent maintenance of high-speed railway onboard equipment[J]. Railway Transport and Economy, 2017, 39(2): 55-59.
[13]	谭文博, 郭海湘, 宫培松, 等. 基于本体和案例推理的深基坑施工安全风险评估[J]. 工程管理报, 2020, 34(2): 147-152.
	TAN Wenbo, GUO Haixiang, GONG Peisong, et al. Safety risk assessment of deep foundation pit construction based on ontology and case-based reasoning[J]. Journal of Engineering Management, 2020, 34(2): 147-152.
[14]	马文笑, 王德鲁. 基于案例推理的突发环境事件应急决策模型[J]. 中国安全生产科学技术, 2017, 13(12): 85-90.
	MA Wenxiao, WANG Delu. Emergency decision-making model of emergency environmental accidents based on case-based reasoning[J]. Journal of Safety Science and Technology, 2017, 13(12): 85-90.

属性名称	定义域	值域
对应事故致因	事故类型	致因因素/事故类型
造成事故后果	事故类型	事故后果
对应事故等级	事故后果	事故等级
采取应对措施	事故类型/事故等级	应对措施

属性名称	值域	取值类型
发生地点	事故类型	string
发生日期	事故类型	string
发生城市	事故类型	string
发生时间段	事故类型	string
受伤人数	事故后果	int
死亡人数	事故后果	int
经济损失	事故后果	float
延误时长	事故后果	float

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