|本期目录/Table of Contents|

[1]王霞,孟娟,张海军.基于DBN-GRA的非坠机民航客机火灾风险分析*[J].中国安全生产科学技术,2025,21(4):202-210.[doi:10.11731/j.issn.1673-193x.2025.04.027]
 WANG Xia,MENG Juan,ZHANG Haijun.Analysis onfire risk of non-crash civil aircraft based on DBN-GRA[J].Journal of Safety Science and Technology,2025,21(4):202-210.[doi:10.11731/j.issn.1673-193x.2025.04.027]
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基于DBN-GRA的非坠机民航客机火灾风险分析*

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
21
期数:
2025年4期
页码:
202-210
栏目:
职业安全卫生管理与技术
出版日期:
2025-04-30

文章信息/Info

Title:
Analysis onfire risk of non-crash civil aircraft based on DBN-GRA
文章编号:
1673-193X(2025)-04-0202-09
作者:
王霞孟娟张海军
(中国民航大学 安全科学与工程学院,天津 300300)
Author(s):
WANG Xia MENG Juan ZHANG Haijun
(College of Safety Science and Engineering,Civil Aviation University of China,Tianjin 300300,China)
关键词:
非坠机事件民航客机火灾动态贝叶斯网络灰色关联分析风险分析
Keywords:
non-crash events civilaircraft fire dynamic Bayesian network (DBN) grey relational analysis (GRA) risk analysis
分类号:
X949
DOI:
10.11731/j.issn.1673-193x.2025.04.027
文献标志码:
A
摘要:
为降低民航客机火灾事故率,以飞行全过程及3个关键飞行阶段作为维度,采用动态贝叶斯网络模型对非坠机民航客机火灾进行风险分析。根据火灾起火燃烧的当量比及事故演化的过程,基于事故致因模型确定事件因素,构建火灾风险分析模型;收集2014—2024年民航火灾事故数据,确定基本事件的先验概率,并应用BWM法计算中间事件的条件概率;运用灰色关联分析提取各维度关联因素结合动态时序变化构建动态贝叶斯网络,进行火灾风险分析,识别关键风险因素。研究结果表明:非坠机民航客机火灾初期发展阶段时物的因素与环境因素影响最高,充分燃烧阶段时组织管理因素和货物因素影响最高;飞行关键阶段中飞机机体自身因素和组织管理因素为高风险因素。研究结果可为提高非坠机民航客机火灾风险预警与应急管理能力提供决策参考。
Abstract:
In order to reduce the fire accident rate of civil aircraft,taking the whole flight process and three key flight stages as dimensions,the dynamic Bayesian network (DBN) model was used to analyze the fire risk of non-crash civil aircraft.According to the equivalent ratio of fire combustion and the evolution process of accident,the incident factors were determined based on the accident cause model,and the fire risk analysis model was constructed.The data of civil aviation fire accidents in 2014—2024 were collected,then the prior probability of basic events was determined,and the conditional probability of intermediate events was calculated by BWM method.The grey relational analysis (GRA) was used to extract the relational factors of each dimension,and a dynamic Bayesian network was established combining with dynamic time series change to conduct the fire risk analysis and identify the key risk factors.The results show that the influence of physical factorsand environmental factors are the highest in the initial development stage of non-crash civil aircraft fire,and the influence of organizational and management factors and cargo factors are the highest in the full combustion stage.In the keyflightstages,the factors of aircraft body itself and organization and management are the high risk factors.The research results can provide decision-making reference for improving the ability of risk warning and emergency managementof the non-crash civil aircraft fires.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2024-08-17
* 基金项目: 中央高校基本科研业务费项目(3122019011);天津市科技计划项目(21JCJQJC00040)
作者简介: 王霞,博士,讲师,主要研究方向为民航安全管理、人为因素、系统动力学等。
更新日期/Last Update: 2025-04-28