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  

Evacuation route planning of toxic gas leakage accident in chemical industry park based on adaptive ant colony algorithm

作　　者：叶继红 吕青青 YE Jihong;LYU Qingqing(School of Petrochemical Engineering&Environment,Zhejiang Ocean University,Zhoushan Zhejiang 316000,China)

机构地区：[1]浙江海洋大学石油化工与环境学院,浙江舟山316000

出　　处：《中国安全生产科学技术》2022年第12期148-153,共6页Journal of Safety Science and Technology

基　　金：浙江省科技厅计划项目(LGF20E040003)。

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。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.

关 键 词：化工园区 毒气泄漏 自适应蚁群算法 疏散路径规划 

分 类 号：X937[环境科学与工程—安全科学]