A Three-dimensional Packing Optimization Model for UAV Rescue

Yindong Zi, Zhenglin Cao, M. Li, Jundong Yang, Haijiang Li, Hai-ying Li
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Abstract

With the development of UAV technology, it is possible to build an efficient disaster response system. Our goal is to build a real-time disaster response system. For recommending the configuration of UAVS and medical package and simplifying the solution process, we roughly determine the preliminary location of three container locations firstly. For designing the associated packing configuration for three ISO cargo containers we established Three-dimensional packing optimization model. We found that when three containers correspond to three separate locations, Container P1 serves the nearest two locations and loads 2691 Med1 and 1638 Med2 and a B UAV at the same time. Container P2 serves the two nearest demand points and needs to load 2042 med1, 1361 mED2 and 1361 med3 and a C-type UAV. Container Placement Point P3 serves the nearest demand point with 3618 med1 and a B UAV loaded simultaneously. The loading efficiency of each container is 91.04%, 91.23% and 90.81% respectively.
无人机救援三维布局优化模型
随着无人机技术的发展,建立高效的灾害响应系统成为可能。我们的目标是建立一个实时的灾难响应系统。为了推荐无人机和医疗包的配置,简化解决流程,我们首先大致确定了三个集装箱位置的初步位置。为了设计三个ISO集装箱的相关包装构型,建立了三维包装优化模型。我们发现,当三个集装箱对应三个不同的位置时,集装箱P1服务于最近的两个位置,同时装载2691个Med1和1638个Med2和一架B无人机。集装箱P2服务于最近的两个需求点,需要装载2042 med1、1361 mED2和1361 med3以及一架c型无人机。集装箱放置点P3为最近的需求点提供3618个med1和一架B无人机同时装载。各集装箱装货效率分别为91.04%、91.23%和90.81%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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