|本期目录/Table of Contents|

[1]叶继红,吕青青.基于自适应蚁群算法的化工园区毒气泄漏事故疏散路径规划*[J].中国安全生产科学技术,2022,18(12):148-153.[doi:10.11731/j.issn.1673-193x.2022.12.021]
　YE Jihong,LYU Qingqing.Evacuation route planning of toxic gas leakage accident in chemical industry park based on adaptive ant colony algorithm[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(12):148-153.[doi:10.11731/j.issn.1673-193x.2022.12.021]
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基于自适应蚁群算法的化工园区毒气泄漏事故疏散路径规划*
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《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:
148-153
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:
Evacuation route planning of toxic gas leakage accident in chemical industry park based on adaptive ant colony algorithm
文章编号:
1673-193X(2022)-12-0148-06
作者:
叶继红; 吕青青
(浙江海洋大学 石油化工与环境学院，浙江 舟山 316000)
Author(s):
YE Jihong;  LYU Qingqing
(School of Petrochemical Engineering & Environment,Zhejiang Ocean University,Zhoushan Zhejiang 316000,China)
关键词:
化工园区; 毒气泄漏; 自适应蚁群算法; 疏散路径规划
Keywords:
chemical park;  toxic gas leakage;  adaptive ant colony algorithm;  evacuation route planning
分类号:
X937
DOI:
10.11731/j.issn.1673-193x.2022.12.021
文献标志码:
A
摘要:
为了降低人员在化工园区毒气泄漏事故中的伤亡风险，提出1种综合考虑疏散路径距离和毒性负荷值的自适应蚁群算法。通过建立路径评价函数，将疏散路径的毒性负荷值引入蚁群算法中，改进算法的信息素更新策略，采用启发式因子自适应调整策略并改进算法的启发式函数。运用Matlab软件进行仿真，将算法应用到某化工园区毒气泄漏事故中。研究结果表明：该自适应蚁群算法可以保持较高的搜索速度，在寻找距离最短道路的同时避开毒性负荷较高的疏散路径，可为化工园区毒气泄漏事故的应急疏散路径规划提供参考。
Abstract:
In order to reduce the casualties of personnel in the toxic gas leakage accidents of chemical industry parks,an adaptive ant colony algorithm comprehensively considering the distance of evacuation route and the toxic load value was proposed.By establishing the route evaluation function,the toxic load value of evacuation route was introduced into the ant colony algorithm,and the pheromone update strategy of the algorithm was improved.The heuristic factor adaptive adjustment strategy was adopted,and the heuristic function of the algorithm was improved.Using Matlab software for simulation,the algorithm was applied to the toxic gas leakage accident of a chemical industry park.The results showed that the adaptive ant colony algorithm could maintain a high search speed,avoid the evacuation route with higher toxic load when searching for the shortest path.It can provide reference for the emergency evacuation route planning of toxic gas leakage accident in chemical industry parks.

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备注/Memo

备注/Memo:
收稿日期： 2022-03-17；网络首发日期： 2022-12-02
* 基金项目： 浙江省科技厅计划项目（LGF20E040003）
作者简介： 叶继红，博士，副教授，主要研究方向为石化系统风险评估和灾害控制。
通信作者： 吕青青，硕士研究生，主要研究方向为油气安全工程。
更新日期/Last Update: 2023-01-16