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用于植保的六旋翼无人机的下洗特性及分析

Downwash characteristics and analysis from a six-rotor unmanned aerial vehicle configured for plant protection.

作者信息

Yang Shenghui, Xu Pingfan, Jiang Shijie, Zheng Yongjun

机构信息

College of Engineering, China Agricultural University, Beijing, China.

出版信息

Pest Manag Sci. 2022 Apr;78(4):1707-1720. doi: 10.1002/ps.6790. Epub 2022 Jan 26.

Abstract

BACKGROUND

One theoretical advantage of using unmanned aerial vehicles (UAVs) to spray pesticides for maturing corn is that the strong downwash penetrates canopies. However, only few studies have been conducted to examine in-canopy downwash characteristics. This paper investigated the downwash by a six-rotor UAV in mature cornfields. 3D wind speeds in corn canopies and an open area were measured, and comparisons conducted.

RESULTS

The downwash by the UAV resulted in in-canopy maximum wind speeds. Z-dimensional downwash was sensitive to all factors, whereas the X- and Y-dimensional downwashes were related to layers and crop positions. Meanwhile, when comparing with the downwash between a 2 m hovering position and the optimal flight parameters, the X-dimensional and Y-dimensional motion time of top-layer downwash generally advanced by 3.8 s and 1.6 s, whereas both motion time and the strength of the Z-dimensional downwash were impeded by ≈2.2-s hysteresis at middle layers and ≈4.5-s time reduction, respectively. Thus, combined with distributions, the corn on the left or right might not be sprayed sufficiently. Furthermore, under the convergence requirement error of 0.01, the overall correlation of the model was ≈0.846 in terms of the Z-dimensional downwash and ≈0.55 and 0.61 for the X- and Y-dimensions, respectively.

CONCLUSION

The selection of operation parameters should mainly consider the Z-dimensional downwash. The optimal operation parameters were a height of 2 m with a speed of 4 m s . Meanwhile, the canopy effect could influence the uniformity, motion and strength of downwash. Predictions could be achieved before operation. © 2022 Society of Chemical Industry.

摘要

背景

使用无人机为成熟玉米喷洒农药的一个理论优势是其强大的下冲气流能够穿透作物冠层。然而,仅有少数研究对冠层内的下冲气流特性进行了考察。本文研究了六旋翼无人机在成熟玉米田中的下冲气流情况。测量了玉米冠层和开阔区域内的三维风速,并进行了对比。

结果

无人机产生的下冲气流导致冠层内出现最大风速。Z 维下冲气流对所有因素都很敏感,而 X 维和 Y 维下冲气流与层次和作物位置有关。同时,与 2 米悬停位置和最佳飞行参数下的下冲气流相比,顶层下冲气流的 X 维和 Y 维运动时间通常提前了 3.8 秒和 1.6 秒,而中层的 Z 维下冲气流运动时间和强度分别受到约 2.2 秒的滞后影响和约 4.5 秒的时间减少。因此,结合分布情况来看,左右两侧的玉米可能没有得到充分喷洒。此外,在收敛要求误差为 0.01 的情况下,Z 维下冲气流模型的总体相关性约为 0.846,X 维和 Y 维分别约为 0.55 和 0.61。

结论

操作参数的选择应主要考虑 Z 维下冲气流。最佳操作参数为高度 2 米、速度 4 米/秒。同时,冠层效应会影响下冲气流的均匀性、运动和强度。操作前可以进行预测。© 2022 化学工业协会。

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