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Development and Integration of a Solar Powered Unmanned Aerial Vehicle and a Wireless Sensor Network to Monitor Greenhouse Gases

机译:太阳能无人飞行器和无线传感器网络的开发和集成,以监测温室气体

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Measuring gases for environmental monitoring is a demanding task that requires long periods of observation and large numbers of sensors. Wireless Sensor Networks (WSNs) and Unmanned Aerial Vehicles (UAVs) currently represent the best alternative to monitor large, remote, and difficult access areas, as these technologies have the possibility of carrying specialized gas sensing systems. This paper presents the development and integration of a WSN and an UAV powered by solar energy in order to enhance their functionality and broader their applications. A gas sensing system implementing nanostructured metal oxide (MOX) and non-dispersive infrared sensors was developed to measure concentrations of CH4 and CO2. Laboratory, bench and field testing results demonstrate the capability of UAV to capture, analyze and geo-locate a gas sample during flight operations. The field testing integrated ground sensor nodes and the UAV to measure CO2 concentration at ground and low aerial altitudes, simultaneously. Data collected during the mission was transmitted in real time to a central node for analysis and 3D mapping of the target gas. The results highlights the accomplishment of the first flight mission of a solar powered UAV equipped with a CO2 sensing system integrated with a WSN. The system provides an effective 3D monitoring and can be used in a wide range of environmental applications such as agriculture, bushfires, mining studies, zoology and botanical studies using a ubiquitous low cost technology.
机译:测量用于环境监测的气体是一项艰巨的任务,需要长时间的观察和大量的传感器。当前,无线传感器网络(WSN)和无人飞行器(UAV)代表了监视大型,偏远和困难地区的最佳选择,因为这些技术可以携带专用的气体传感系统。本文介绍了WSN和由太阳能驱动的无人机的开发和集成,以增强其功能并扩大其应用范围。开发了一种使用纳米结构金属氧化物(MOX)和非分散红外传感器的气体传感系统,以测量CH 4 和CO 2 的浓度。实验室,工作台和现场测试结果证明了无人机在飞行操作过程中捕获,分析和地理定位气体样本的能力。现场测试集成了地面传感器节点和无人机,以同时测量地面和低空高度的CO 2 浓度。任务期间收集的数据被实时传输到中央节点,以进行目标气体的分析和3D映射。结果强调了配备有与无线传感器网络集成的CO 2 传感系统的太阳能无人机的首次飞行任务的完成。该系统提供了有效的3D监控,并且可以使用广泛使用的低成本技术在各种环境应用中使用,例如农业,丛林大火,采矿研究,动物学和植物学研究。

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