[1]程明,梅傲然.基于关联规则的跑道着陆事件演化网络构建研究*[J].中国安全生产科学技术,2022,18(12):203-208.[doi:10.11731/j.issn.1673-193x.2022.12.029]
CHENG Ming,MEI Aoran.Research on construction of evolution network for runway landing event based on association rules[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(12):203-208.[doi:10.11731/j.issn.1673-193x.2022.12.029]
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基于关联规则的跑道着陆事件演化网络构建研究*
CHENG Ming,MEI Aoran.Research on construction of evolution network for runway landing event based on association rules[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(12):203-208.[doi:10.11731/j.issn.1673-193x.2022.12.029]
《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]
- 卷:
- 18
- 期数:
- 2022年12期
- 页码:
- 203-208
- 栏目:
- 职业安全卫生管理与技术
- 出版日期:
- 2022-12-31
文章信息/Info
- Title:
- Research on construction of evolution network for runway landing event based on association rules
- 文章编号:
- 1673-193X(2022)-12-0203-06
- Keywords:
- aircraft; runway excursion; hard landing; risk factor; association rule; complex network
- 分类号:
- X949
- 文献标志码:
- A
- 摘要:
- 为了提高航空运输系统安全性，针对航空器着陆过程中冲偏出和重着陆事件的关联机理开展研究。以84起跑道着陆事故调查报告为样本，利用Python分词工具提取风险因素并建立跑道着陆事件数据集，应用Apriori算法挖掘风险因素间关联规则，基于复杂网络理论构建该类事件演化网络，分析社团结构和拓扑特征。研究结果表明：本文所构建的网络密度为0.143，网络较为紧密，风险因素间强关联；网络社团结构显著，符合飞行操纵、运行状态、运行环境、不利条件的分类特点；网络关键节点“航线训练”、“接地速度大”综合值分别为0.599 8、0.589 0。研究结果可为飞行安全研究提供新思路。
- Abstract:
- In order to improve the safety of air transportation system,the correlation mechanism between runway excursion and hard landing events during the process of aircraft landing was studied.Taking the investigation reports of 84 runway landing accident as samples,the Python word segmentation tool was used to extract the risk factors and establish the data sets of runway landing events.The Apriori algorithm was used to mine the association rules among the risk factors,and based on the complex network theory,the evolution network of such events was constructed to analyze the community structure and topological characteristics.The results showed that the network density constructed in this paper was 0.143,the network was relatively close,and the risk factors were strongly correlated.The community structure of network was significant,according with the classification characteristics of flight control,operating status,operating environment and adverse conditions.The comprehensive values of network key nodes “route training” and “high grounding speed” were 0.599 8 and 0.589 0,respectively.The research results can provide new ideas for flight safety research.
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相似文献/References:
[1]霍志勤.中国民航运输航空器偏/冲出跑道统计分析[J].中国安全生产科学技术,2012,8(7):127.
HUO Zhi qin.Statistical analysis on runway excursion of transport aircraft in China[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2012,8(12):127.
[2]孙奕捷,张元,李敬.航空器设计、制造单位安全风险管理方案研究[J].中国安全生产科学技术,2012,8(12):132.
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备注/Memo
- 备注/Memo:
-
收稿日期： 2022-06-26；网络首发日期： 2022-12-02
* 基金项目： 民航安全能力建设项目（ASSA2022/13）；中央高校基本科研业务费项目（3122018F003）；中国民航大学研究生科研创新项目（2021YJS013）
作者简介： 程明，硕士，副研究员，主要研究方向为民航安全与运行、突发事件应急等。
