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基于物联网的水质监测无人任务水陆两栖车设计。

Design of Amphibious Vehicle for Unmanned Mission in Water Quality Monitoring Using Internet of Things.

机构信息

Centre for Autonomous System Research, VelTech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai 600 062, India.

Department of Computer Science Engineering, VelTech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Avadi, Chennai 600 062, India.

出版信息

Sensors (Basel). 2018 Oct 3;18(10):3318. doi: 10.3390/s18103318.

Abstract

Unmanned aerial vehicles (UAVs) have gained significant attention in recent times due to their suitability for a wide variety of civil, military, and societal missions. Development of an unmanned amphibious vehicle integrating the features of a multi-rotor UAV and a hovercraft is the focus of the present study. Components and subsystems of the amphibious vehicle are developed with due consideration for aerodynamic, structural, and environmental aspects. Finite element analysis (FEA) on static thrust conditions and skirt pressure are performed to evaluate the strength of the structure. For diverse wind conditions and angles of attack (AOA), computational fluid dynamic (CFD) analysis is carried out to assess the effect of drag and suitable design modification is suggested. A prototype is built with a 7 kg payload capacity and successfully tested for stable operations in flight and water-borne modes. Internet of things (IoT) based water quality measurement is performed in a typical lake and water quality is measured using pH, dissolved oxygen (DO), turbidity, and electrical conductivity (EC) sensors. The developed vehicle is expected to meet functional requirements of disaster missions catering to the water quality monitoring of large water bodies.

摘要

无人飞行器(UAV)由于其适用于各种民用、军事和社会任务而受到广泛关注。本研究的重点是开发一种集成多旋翼无人机和气垫船特点的无人两栖飞行器。两栖飞行器的部件和子系统的开发充分考虑了空气动力学、结构和环境方面的因素。对静态推力条件和裙边压力进行有限元分析(FEA),以评估结构的强度。针对不同的风况和攻角(AOA),进行计算流体动力学(CFD)分析,以评估阻力的影响,并提出合适的设计修改建议。制造了一个 7 公斤有效载荷的原型,并成功地测试了其在飞行和水上模式下的稳定运行。基于物联网(IoT)的水质测量在一个典型的湖泊中进行,并使用 pH、溶解氧(DO)、浊度和电导率(EC)传感器测量水质。所开发的车辆有望满足满足满足大型水体水质监测的灾害任务的功能要求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9153/6210420/77266ddb8039/sensors-18-03318-g001.jpg

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