摘要
为进一步提高危化品道路运输路径优化的合理性,将事故应急保障引入路径优化中.分析应急保障对路径选择的影响及其确定方法,并把应急保障水平引入风险目标函数中作为补偿系数;在此基础上,构建运输风险最小、运输时间最短、运输成本最低的危化品道路运输多目标路径选择模型,然后应用遗传模拟退火算法进行求解.结果表明:该模型能更加合理科学地选择危化品运输路径,满足运输企业对路径安全性以及经济利益的要求.
To further improve the rationality of optimizing the road transportation path for hazardous chemicals,accident emergency support is introduced into the path optimization.It analyzes the impact of emergency support on path selection and its determination methods,and introduces the level of emergency support into the risk objective function as a compensation coefficient.Based on this,a multi-objective path selection model for hazardous chemical road transportation with the minimum transportation risk,shortest transportation time,and lowest transportation cost is constructed,and then using genetic simulated annealing(GSA)to solve it.The calculation example shows that the model can more reasonably and scientifically select the transportation path of hazardous chemicals,meeting the requirements of transportation enterprises for path safety and economic benefits.
作者
刘灿
周荣义
石云霄
杨璧帆
姜子健
LIU Can;ZHOU Rongyi;SHI Yunxiao;YANG Bifan;JIANG Zijian(School of Resources,Environment and Safety Engineering,Hunan University of Science and Technology,Xiangtan 411201,China;Hunan Provincial Key Laboratory of Safe Mining Techniques of Coal Mines,Hunan University of Science and Technology,Xiangtan 411201,China)
出处
《矿业工程研究》
2024年第2期49-54,共6页
Mineral Engineering Research
基金
湖南省教育厅重点资助项目(20A192)
国家自然科学基金资助项目(52074118)。
关键词
危化品运输
多目标
应急保障
遗传模拟退火
transportation of hazardous chemicals
multiple objectives
emergency support level
genetic simulated annealing
