摘要
基于大学生的取件需求与驿站供给服务不匹配,产生取件时间长、疫情防控不严密等问题,提出无人机联合全自动机场共同配送的新模式。而在目前研究中,相关方面的研究较少。文章建立了无人机全自动机场选址问题模型,并设计暴力搜索算法进行求解。结果显示,通过对无人机性能、在校学生快递需求等因素的分析,运用模型及算法可求取校园内宿舍区域取货总过程时间最短的全自动无人机机场坐标及集中取货点坐标。
Based on the mismatch between the pick-up demand and the supply service of the delivery station for college students,it occurs the problems such as long pick-up time and lack of strict COVID-19 epidemic prevention and control,then a new model of joint delivery by UAVs and fully automatic airports is proposed.However,there are fewer studies on related aspects in the current research.This paper establishes a UAV fully automatic airport site selection problem model,and designs a violent search algorithm for solving.The results show that,through the analysis of factors such as the UAV performance and express delivery needs of students in school,the model and algorithm can be used to find the location of the fully automatic UAV airport and centralized pick-up point with the shortest total process time for picking up goods in the dormitory area of the campus.
作者
校园配送下无人机全自动机场选址研究项目组
曾嘉怡
顾子龙
秦成欣
马成
任奕天
杨竣旭
UAV Fully Automatic Airport Site Selection Research Project Team under Campus Distribution(Civil Aviation University of China,Tianjin 300300,China)
出处
《现代信息科技》
2022年第5期79-82,87,共5页
Modern Information Technology
基金
中国民航大学大学生创新创业训练计划项目(202110059105)
关键词
无人机物流配送
全自动无人机机场
选址问题
校园配送
UAV logistics delivery
fully automatic UAV airport
site selection issue
campus delivery
