某重载铁路应急救援物资储备数量分布优化研究
Research on optimization of reserve quantity distribution of emergency rescue materials for a heavy-haul railway
王剑飞 1魏祎璇 2汪澍 2张海东 1李树昆 1金龙哲 2丁天祺3
作者信息
- 1. 国能朔黄铁路发展有限责任公司,北京 100089
- 2. 北京科技大学大安全科学研究院,北京 100083
- 3. 北京市朝阳区国防动员办公室,北京 100020
- 折叠
摘要
为提高重载铁路应急救援响应能力,构建风险评估云模型以确定事故易发区段,采用蒙特卡洛法生成事故场景.设计双目标物资调度模型,优化物资调度方案,采用非支配排序遗传算法(NSGA-Ⅱ)求解最优解.在保持站点不变、确保物资总量不变的情况下,提出匹配线路风险特性的救援物资储备优化方案.研究结果表明:优化后一级响应调度总距离平均缩减31.28％,二级响应缩减46.80％,表明优化后的储备方案能有效缩短响应时间和提高救援效率.研究结果可为重载铁路物资分布与调度提供理论指导.
Abstract
To improve the emergency response capability of heavy-haul railway,a risk assessment cloud model was construc-ted to identify the accident-prone sections,and the accident scenes were generated using Monte Carlo method.A dual-objec-tive materials dispatching model was designed to optimize the materials dispatching scheme,and the non-dominated sorting ge-netic algorithm Ⅱ(NSGA-Ⅱ)was used to solve the optimal solution.While keeping the stations and total amount of mate-rials unchanged,an optimized scheme of rescue materials reserve matching the risk characteristics of the railway line was pro-posed.The results show that after optimization,the total dispatching distance of first-level response is reduced by 31.28％on average,and that of second-level response is reduced by 46.80％,which indicate that the optimized reserve scheme can effec-tively shorten the response time and improve the rescue efficiency.The research results can provide theoretical guidance for the materials distribution and scheduling of heavy-haul railways.
关键词
重载铁路/物资调度/云模型/非支配排序遗传算法Key words
heavy-haul railway/materials dispatching/cloud model/non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ)引用本文复制引用
出版年
2024
NETL
NSTL
万方数据