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Unmanned Aerial Vehicle-Borne Sensor System for Atmosphere-Particulate-Matter Measurements: Design and Experiments

机译:用于大气颗粒物测量的无人机飞行器传感器系统:设计和实验

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摘要

An unmanned aerial vehicle (UAV) particulate-matter (PM) monitoring system was developed that can perform three-dimensional stereoscopic observation of PM2.5 and PM10 in the atmosphere. The UAV monitoring system was mainly integrated by modules of data acquisition and processing, wireless data transmission, and global positioning system (GPS). Particularly, in this study, a ground measurement-control subsystem was added that can display and store collected data in real time and set up measurement scenarios, data-storage modes, and system sampling frequency as needed. The UAV PM monitoring system was calibrated via comparison with a national air-quality monitoring station; the data of both systems were highly correlated. Since rotation of the UAV propeller affects measured PM concentration, this study specifically tested this effect by setting up another identical monitoring system fixed at a tower as reference. The UAV systems worked simultaneously to collect data for comparison. A correction method for the propeller disturbance was proposed. Averaged relative errors for the PM2.5 and PM10 concentrations measured by the two systems were 6.2% and 6.6%, respectively, implying that the UAV system could be used for monitoring PM in an atmosphere environment.
机译:开发了一种无人飞行器(UAV)颗粒物(PM)监视系统,该系统可以对大气中的PM2.5和PM10进行三维立体观察。无人机监视系统主要由数据采集和处理,无线数据传输和全球定位系统(GPS)模块集成在一起。特别是,在本研究中,添加了一个地面测量控制子系统,该子系统可以实时显示和存储收集的数据,并根据需要设置测量方案,数据存储模式和系统采样频率。通过与国家空气质量监测站进行比较,对无人机PM监测系统进行了校准;两个系统的数据高度相关。由于无人机螺旋桨的旋转会影响测得的PM浓度,因此本研究通过在塔架上安装另一个相同的监视系统作为参考来专门测试了这种效果。无人机系统同时工作以收集数据进行比较。提出了螺旋桨扰动的校正方法。两个系统测得的PM2.5和PM10浓度的平均相对误差分别为6.2%和6.6%,这意味着该无人机系统可用于监测大气环境中的PM。

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