Yindong Zi, Zhenglin Cao, M. Li, Jundong Yang, Haijiang Li, Hai-ying Li
{"title":"无人机救援三维布局优化模型","authors":"Yindong Zi, Zhenglin Cao, M. Li, Jundong Yang, Haijiang Li, Hai-ying Li","doi":"10.1109/ICEIEC49280.2020.9152298","DOIUrl":null,"url":null,"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.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Three-dimensional Packing Optimization Model for UAV Rescue\",\"authors\":\"Yindong Zi, Zhenglin Cao, M. Li, Jundong Yang, Haijiang Li, Hai-ying Li\",\"doi\":\"10.1109/ICEIEC49280.2020.9152298\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":352285,\"journal\":{\"name\":\"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEIEC49280.2020.9152298\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEIEC49280.2020.9152298","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Three-dimensional Packing Optimization Model for UAV Rescue
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.