{"title":"六旋翼飞行器的定制和有效载荷集成,增强杂货配送能力","authors":"Sifti Arora, Efstratios Ntantis","doi":"10.31893/multiscience.2024126","DOIUrl":null,"url":null,"abstract":"The research paper aims to customize the DJI F550 drone for efficient grocery deliveries by incorporating an electrically controlled hook and integrating set coordinates, providing a systematic and precise framework for the drone's navigation and delivery operations. The objectives encompass constructing a hexacopter equipped with a servo hook for payload detachment, creating a mobile application for order management, demonstrating ground operations and communication, and analyzing stress and load-bearing capacity.The primary goal is to automate grocery delivery, ensuring a hassle-free experience for customers in all weather conditions while addressing minimal privacy concerns. The current paper advocates for Urban Logistics, striving to save human resources, reduce customer burden, shorten delivery times, enhance privacy, and minimise delivery risks. Additionally, it explores optimization, including the upgrade of the drone’s battery and remote controller. Stress analysis using CATIA and ANSYS software is presented providing valuable insights into the structural integrity of the drone, revealing key considerations for enhancing performance and reliability. Conclusively, this paper investigates future scalability and commercial applications, ultimately proposing a fully functional drone-based grocery delivery system to revolutionise traditional shopping experience.","PeriodicalId":218411,"journal":{"name":"Multidisciplinary Science Journal","volume":"52 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Customisation and payload integration of hexacopter for enhanced grocery delivery\",\"authors\":\"Sifti Arora, Efstratios Ntantis\",\"doi\":\"10.31893/multiscience.2024126\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The research paper aims to customize the DJI F550 drone for efficient grocery deliveries by incorporating an electrically controlled hook and integrating set coordinates, providing a systematic and precise framework for the drone's navigation and delivery operations. The objectives encompass constructing a hexacopter equipped with a servo hook for payload detachment, creating a mobile application for order management, demonstrating ground operations and communication, and analyzing stress and load-bearing capacity.The primary goal is to automate grocery delivery, ensuring a hassle-free experience for customers in all weather conditions while addressing minimal privacy concerns. The current paper advocates for Urban Logistics, striving to save human resources, reduce customer burden, shorten delivery times, enhance privacy, and minimise delivery risks. Additionally, it explores optimization, including the upgrade of the drone’s battery and remote controller. Stress analysis using CATIA and ANSYS software is presented providing valuable insights into the structural integrity of the drone, revealing key considerations for enhancing performance and reliability. Conclusively, this paper investigates future scalability and commercial applications, ultimately proposing a fully functional drone-based grocery delivery system to revolutionise traditional shopping experience.\",\"PeriodicalId\":218411,\"journal\":{\"name\":\"Multidisciplinary Science Journal\",\"volume\":\"52 6\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Multidisciplinary Science Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31893/multiscience.2024126\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Multidisciplinary Science Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31893/multiscience.2024126","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Customisation and payload integration of hexacopter for enhanced grocery delivery
The research paper aims to customize the DJI F550 drone for efficient grocery deliveries by incorporating an electrically controlled hook and integrating set coordinates, providing a systematic and precise framework for the drone's navigation and delivery operations. The objectives encompass constructing a hexacopter equipped with a servo hook for payload detachment, creating a mobile application for order management, demonstrating ground operations and communication, and analyzing stress and load-bearing capacity.The primary goal is to automate grocery delivery, ensuring a hassle-free experience for customers in all weather conditions while addressing minimal privacy concerns. The current paper advocates for Urban Logistics, striving to save human resources, reduce customer burden, shorten delivery times, enhance privacy, and minimise delivery risks. Additionally, it explores optimization, including the upgrade of the drone’s battery and remote controller. Stress analysis using CATIA and ANSYS software is presented providing valuable insights into the structural integrity of the drone, revealing key considerations for enhancing performance and reliability. Conclusively, this paper investigates future scalability and commercial applications, ultimately proposing a fully functional drone-based grocery delivery system to revolutionise traditional shopping experience.