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Power-over-Tether UAS Leveraged for Nearly-Indefinite Meteorological Data Acquisition

机译:用于几乎无限期的气象数据采集的电源超级uas

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Use of unmanned aerial systems (UASs) in agriculture has risen in the past decade. These systems are key to modernizing agriculture. UASs collect and elucidate data previously difficult to obtain and used to help increase agricultural efficiency findproduction. Typical commercial off-the-shelf (COTS) UASs are limited by small payloads and short flight times. Such limits inhibit their ability to provide abundant data at multiple spatiotemporal scales. In this paper, we describe the design and construction of the tethered aircraft unmanned system (TAUS), which is a novel power-over-tether UAS leveraging the physical presence of the tether to launch multiple sensors along the tether at multiple altitudes. With power from a ground station, the TAUS canacquire continuous data for several hours . The system is used to sense atmospheric conditions and temperature gradients across altitude. The development of the prototyped system is presented, along with the results offield experiments. The influence that power losses across the tether have on the sensors' abilities to accurately sense is discussed. We demonstrate a 6-hour continuous flight at an altitude of 50 feet, and a 1-hour flight at sunset to acquire the gradually decreasing atmospheric temperature from an array of 6 sensors. An empirical evaluation of the system's performance found that the prototype successively demonstrated proof of concept by considerably increasing flight times and throughput by simultaneously acquiring data from the sensor array. The TAUS will be improved by integrating performance-monitoring circuitry, elevated levels of algorithm-based autonomy, and multivariable sensors.
机译:在过去十年中,在农业中使用非人的空中系统(UASS)在农业上升。这些系统是现代化农业的关键。 uass收集和阐明以前难以获得的数据,以帮助提高农业效率的发现生产。典型的商业废弃货架(COTS)uass受小的有效载荷和短途飞行时间的限制。这种限制抑制了它们在多个时空尺度提供丰富数据的能力。在本文中,我们描述了束缚飞机无人系统(Taus)的设计和构造,这是一种新颖的电力超导UA,利用系绳的物理存在,以沿着多个高度的系绳发射多个传感器。通过从地面站的电力,Taus Canavire连续数据几个小时。该系统用于探测海拔大气条件和温度梯度。提出了原型系统的发展,以及结果漏电实验。讨论了互联网上的功率损耗对传感器能力来精确感知的影响。我们在50英尺的海拔地区展示了6小时的连续飞行,在日落时,1小时飞行,从6个传感器的阵列获得逐渐降低的大气温度。对系统性能的实证评估发现,通过同时从传感器阵列同时获取数据,原型通过相当增加的飞行时间和吞吐量来证明概念证明。通过集成性能监控电路,基于算法的自主性高度和多变量传感器,将改善Taus。

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