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Development of an autonomous unmanned aerial system to collect time-stamped samples from the atmosphere and localize potential pathogen sources

机译:开发自主的无人机系统,以从大气中收集带时间戳的样本并定位潜在的病原体来源

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摘要

This paper presents the hardware development and testing of a new concept for air sampling via the integrationudof a prototype spore trap onboard an unmanned aerial system (UAS).We propose the integration of a prototypeudspore trap onboard a UAS to allow multiple capture of spores of pathogens in single remote locations at highudor low altitude, otherwise not possible with stationary sampling devices.We also demonstrate the capability ofudthis system for the capture of multiple time-stamped samples during a single mission.Wind tunnel testing wasudfollowed by simulation, and flight testing was conducted to measure and quantify the spread during simulatedudairborne air sampling operations. During autonomous operations, the onboard autopilot commands the servoudto rotate the sampling device to a new indexed location once the UAS vehicle reaches the predefined waypointudor set of waypoints (which represents the region of interest). Time-stamped UAS data are continuously loggedudduring the flight to assist with analysis of the particles collected. Testing and validation of the autopilot andudspore trap integration, functionality, and performance is described. These tools may enhance the ability to detectudnew incursions of spores
机译:本文介绍了通过无人飞行器(UAS)上的原型孢子捕集器集成 ud进行空气采样的新概念的硬件开发和测试。在高/低海拔的单个偏远地区对病原体的孢子进行检测,否则使用固定采样设备是不可能的。我们还展示了该系统在一次任务中捕获多个带时间戳的样本的能力。在模拟之后,进行了飞行测试,以测量和量化模拟/空中飞行空气采样操作期间的扩散。在自主运行期间,一旦UAS车辆到达预定义的航点或路点集(代表感兴趣区域),则车载自动驾驶仪命令伺服 ud将采样设备旋转到新的索引位置。带时间戳的UAS数据会在飞行过程中连续记录,以帮助分析收集到的颗粒。描述了自动驾驶仪和游标陷阱集成,功能和性能的测试和验证。这些工具可以增强检测发现新孢子入侵的能力

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