在航船舶尾气无人机遥测技术研究与应用

为打好船舶大气污染防治攻坚战,落实交通运输部海事局"陆海空天"一体化海事监管体系建设方向,提升我国海洋、内河及环境情况复杂水域中在航船舶尾气监测的自动化水平,研究了小型化的船舶尾气嗅探传感器,利用无人机搭载嗅探传感器实时监测在航船舶尾气中的SO₂和CO₂浓度,依此反推船舶燃油的硫含量。选择对上海(排放控制区)关键水域的在航船舶开展实验测试,统计不同船长、不同水域的海船尾气监测结果,综合分析船舶的燃油行为,为海事执法提供新的技术手段;总结可推广应用船舶尾气遥测无人机先进技术监管模式,为我国船舶大气污染物排放控制区高效及精准监管树立样板。     

Lifecycle modeling and assessment of unmanned aerial vehicles (Drones) CO2e emissions

There are no studies that model the potential effectiveness of Unmanned Aerial Vehicles (UAVs) or drones to reduce CO₂e lifecycle (including both utilization and vehicle phase) emissions when compared to conventional diesel vans, electric trucks, electric vans, and tricycles. This study presents a novel analysis of lifecycle UAV and ground commercial vehicles CO₂e emissions. Different route and customer configurations are modeled analytically. Utilizing real-word data, tradeoffs and comparative advantages of UAVs are discussed. Breakeven points for operational emissions are obtained and the results clearly indicate that UAVs are more CO₂e efficient, for small payloads, than conventional diesel vans in a per-distance basis. Drastically different results are obtained when customers can be grouped in a delivery route. UAV deliveries are not more CO₂e efficient than tricycle or electric van delivery services if a few customers can be grouped in a route. Vehicle phase CO₂e emissions for UAVs are significant and must be taken into account. Ground vehicles are more efficient when comparing vehicles production and disposal emissions per delivery.     

舰载无人机战术控制系统研究

无人机以其特点已在战场中扮演着举足轻重的角色，随着无人机技术的飞速发展，必须研制通用的无人机战术控制系统（TCS），实现对各类无人机的操控，并将无人机系统与舰艇C^4I系统有效集成。对美军无人机战术控制系统发展情况进行了简要描述，系统地分析了舰载见人机战术控制系统的功能、交互等级和系统组成，并阐述了系统运行方式：     

无人机飞行状态对数据传输的影响研究

无人机飞行过程中,不同飞行状态具有不同的信道特性,从而会影响数据的可靠传输.为分析这一影响,文章基于Bello提出的WSSUS信道模型,在分析无人机通信信道特性的基础上,得出无人机通信信道模型;随后将无人机飞行过程划分为起飞/降落、途中飞行和空中盘旋三个状态,并分别讨论三种状态下的信道参数;最后通过仿真,对三种状态下数据传输的误码率进行比较,分析影响数据可靠传输的主要原因.     

基于灰色层次分析法的察打型无人机作战能力评估

文章简要介绍了某察打型中空无人机的性能特点,运用Matlab仿真的方法,以该型无人机的攻击能力为研究对象,使用灰色层次分析法对无人机作战效能进行评价。通过统计的方法建立各个部件性能之间的相关联系,结合了层次分析法和灰色理论,定量地对飞机攻击能力进行了评估,数值仿真结果证明了该方法对于无人机作战能力评估的有效性。     

联合作战无人机情报处理与共享体系结构研究

联合作战战场上如何实现情报的综合处理和全域共享,满足信息化战场态势感知对电子侦察情报的需求,已成为重要的研究课题。论文对目前我军无人机情报处理与共享的现状和存在的问题进行了分析与总结,尝试性地构建了适应我军无人机未来发展需要的情报处理与共享体系,并提出了对无人机情报处理与共享的发展展望。     

电子战无人机分布配置干扰雷达建模仿真研究

电子战无人机分布配置干扰是对抗新型雷达的有效手段,在电子对抗领域扮演着越来越重要的角色。文章分别建立雷达在无人机分布式干扰情况下的探测威力和暴露区计算数学模型,通过实例仿真对比,得出不同配置情况下无人机干扰对雷达探测能力的影响程度。     

无人机干扰雷达作战仿真系统研究*

论文建立了雷达模型、雷达检测模型和雷达威胁模型,并在此基础上设计了无人机与敌方雷达的交互系统,最后设定具体作战背景,完成了无人机干扰雷达作战系统仿真,为部队使用无人机提供了一定的依据。     

3S技术在土地利用调查中的应用

基于无人机遥感图像的分类精度和高分辨率的图像特征,得出面向对象的遥感影像分类方法,即应用无人机遥感技术进行土地利用的快速详查信息提取。运用GIS技术,着重研究土地利用数据库的建立方法及构建过程,通过该数据库构建的时空模型,可有效地避免数据冗余问题,建立的数据库还可实现土地的详查追溯,通过图像的层次叠加获取历史土地详查的全区土地信息。     

Cooperative path following control of UAV and USV cluster for maritime search and rescue北大核心CSCD

［Objectives ］ This paper studies a three-dimensional (3D) cooperative path-following control problem in the process of maritime search and rescue for a heterogeneous unmanned cluster system composed of unmanned aerial vehicles (UAVs) and unmanned surface vehicles (USVs).［Methods ］ First, kinematic models of the UAVs and USVs are established under a fixed coordinate system and body coordinate system. In order to design a 3D path-following controller suitable for motion control, an air coordinate system is established, and the path tracking error models of the UAVs and USVs are established in the Serret-Frenet coordinate system. Next, a 3D line-of-sight (LOS) guidance law is designed at the kinematic level, and a cooperative path-following control method suitable for heterogeneous clusters of marine vehicles is proposed, allowing the UAVs and USVs to track the preset parameterized path. Finally, the stability of the control system is analyzed based on the Lyapunov stability theory.［Results］The simulation results verify the effectiveness of the proposed cooperative path-following control method for heterogeneous clusters of marine vehicles.［Conclusions］The results of this study can provide references for maritime search and rescue by using the proposed cooperative path-following control method. © 2022 Journal of Clinical Hepatology. All rights reserved.