六旋翼飞行器的定制和有效载荷集成,增强杂货配送能力

Sifti Arora, Efstratios Ntantis
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引用次数: 0

摘要

该研究论文旨在定制大疆 F550 无人机,通过安装电控挂钩和整合设定坐标,为无人机的导航和送货操作提供一个系统而精确的框架,从而实现高效的杂货配送。主要目标是实现杂货配送自动化,确保客户在任何天气条件下都能获得无忧体验,同时将隐私问题降至最低。本文倡导城市物流,努力节省人力资源、减轻客户负担、缩短送货时间、提高隐私保护并将送货风险降至最低。此外,本文还探讨了优化问题,包括无人机电池和遥控器的升级。本文介绍了使用 CATIA 和 ANSYS 软件进行的应力分析,对无人机的结构完整性提供了有价值的见解,揭示了提高性能和可靠性的关键因素。最后,本文对未来的可扩展性和商业应用进行了研究,最终提出了一个功能齐全的无人机杂货配送系统,以彻底改变传统的购物体验。
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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.
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