Development of Drone Cargo Bay with Real-Time Temperature Control

In order to deliver medical products (medicines, vaccines, blood packs, etc.) in time for needed areas, a method of transporting goods using drones is being studied. However, temperature-sensitive medical products may decay due to outside temperature changes. The time required to transport over the distance may vary a lot as well. As a result, the likelihood of the goods deteriorating is very high. There is a need for a study on cargo bay to prevent this and to protect the medical goods. In this paper, in order to protect the temperature sensitive medical goods, the inside cargo bay is equipped with the cooling fan device and the electric heating elements. These elements can be monitored and controlled according to the user’s discretion. By using the web server built inside the cloud server, the temperature can be controlled in real-time from anywhere without the limitation of distance. We built the proposed device, and installed it on the drone cargo bay. The test results show that the cargo bay can be temperature-controlled, and the setting can be maintained over a great distance. The user can watch the temperature variations during the transport and ascertain the goodness of the medical supply with the data. It is expected that such development can greatly enhance the utility of the drone operations, especially for the medical supply transport applications.

国际货运无人机市场及技术发展态势研究

货运无人机能够使现有物流配送方式得到优化和提升,并降低运行成本,在我国发展空间巨大。本文通过调研开源信息方式,对货运无人机的市场前景、专利技术发展态势、关键技术特点进行深入分析,结论可得:一是货运无人机在我国市场前景广阔,经济规模可观;二是货运无人机技术近年呈井喷式发展,我国具有专利数量优势;三是我国小型民用物流无人机技术相对成熟,建议军工及科研院所在研发中大型货运无人机时加强与电商及物流企业的合作交流。

基于反向拍卖算法的任务导向型货运无人机任务分配研究

目前,我国社会经济明显复苏,物流经济蓬勃发展,货运无人机在物流领域的作用日益凸显。供应链中的运输任务涉及食品、日用品、大宗补给品等物资,因此选择适应任务类型的货运无人机将直接影响物资的运输效率。同时,在优先完成任务的基础上,货运无人机需要对任务执行成本进行有效控制,这将成为货运无人机任务规划的重要考量。

支线货运无人机的发展现状、运行方式与关键技术分析

支线货运无人机为偏远地区、山地、高原、海岛和城市快捷货运等提供了一种更经济、更高效的物资运输方式,并在应急救援和前线补给中发挥着重要作用。本文回顾了支线货运无人机的国内外发展现状,对比了支线货运无人机与有人机、陆地交通之间的竞争优势,论述了当前技术条件下支线货运无人机相对安全的运行方式——点对点管道飞行,并分析了支线货运无人机需要解决的关键技术,包括适航技术、飞行器平台技术、智能控制技术、数据链路技术、导航技术和自主起降技术等。支线货运无人机的广泛应用需要开展体系性建设工作,重视运行风险,除平台研制外,还必须关注法律法规、空域管理、飞行管理、机场设施等方面的工作。

基于人工智能与无人机技术的船舶水尺智能识读应用与探讨

本文聚焦智慧商检重量鉴定应用中的一个具体、特定场景——大宗散货船舶水尺智能识读,主要介绍国内外特别是中国海关在人工智能与无人机技术相结合背景下的船舶水尺智能识读系统研究情况,重点是无人机飞行采集、实时传输数据情况,深度学习卷积神经网络技术识读分析的进展,大规模深度学习模型训练的有关成果。新技术的应用对节约人力、提高效率、统一执法尺度等方面具有积极意义。