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基于空间质量平衡法的植保无人机施药雾滴沉积分布特性测试
引用本文:王昌陵,何雄奎,王潇楠,王志翀,王士林,李龙龙,Jane. Bonds,Andreas. Herbst,王志国,梅水发.基于空间质量平衡法的植保无人机施药雾滴沉积分布特性测试[J].农业工程学报,2016,32(24):89-97.
作者姓名:王昌陵  何雄奎  王潇楠  王志翀  王士林  李龙龙  Jane. Bonds  Andreas. Herbst  王志国  梅水发
作者单位:1. 中国农业大学理学院,北京 100193;,1. 中国农业大学理学院,北京 100193;,1. 中国农业大学理学院,北京 100193;,1. 中国农业大学理学院,北京 100193;,1. 中国农业大学理学院,北京 100193;,1. 中国农业大学理学院,北京 100193;,2. 邦德斯咨询有限公司,巴拿马城 32408 美国;,3. 德国联邦作物研究中心植保施药技术研究所,布伦瑞克D-38104 德国;,4. 安阳全丰航空植保科技有限公司,安阳 455001;,5. 中国人民解放军61833部队,北京 100094;
基金项目:国家自然科学基金资助项目(31470099),公益性行业(农业)科研专项资助项目(201503130)
摘    要:为了探究飞行方式、飞行参数及侧风等因素对无人机喷雾雾滴空间质量平衡分布和旋翼下旋气流场分布的影响,该文基于无人机施药雾滴空间质量平衡测试方法,测定了3WQF80-10型单旋翼油动植保无人机在不同飞行方式(前进、倒退)、飞行高度和侧风速条件下的喷雾雾滴空间不同部位的沉积率和下旋气流风速。结果表明:对于该型无人机,在飞行高度(3.0±0.1)m、速度(5.0±0.2)m/s、1.2 m/s侧风速条件下,机头朝前与机尾朝前2种飞行方式对雾滴分布有显著影响,机尾朝前的飞行方式底部沉积比例可达60%,作业效果更佳;在2.0~3.5 m高度、(5.0±0.3)m/s速度和0.8 m/s侧风速条件下,空间质量平衡收集装置底部雾滴沉积率变异系数与高度呈现线性负相关,线性回归方程决定系数为0.9178,即高度越高雾滴分布均匀性越好;在(3.0±0.1)m高度和(5.0±0.3)m/s速度条件下,空间质量平衡收集装置底部雾滴加权平均沉积率与侧风风速呈线性正相关,线性回归方程决定系数为0.9684,即侧风速越大雾滴越集中分布在下风向处;飞行方式、高度和侧风3种因素对单旋翼无人机喷雾雾滴产生的影响都是通过改变其旋翼下旋气流场在垂直于地面向下方向的强度,减弱气流对雾滴的下压作用来实现的。研究结果可以为植保无人机设计定型、田间喷雾作业参数确定和作业条件的选择提供理论参考。

关 键 词:喷雾  农药  机械化  植保无人机  雾滴  空间质量平衡  飞行参数  沉积
收稿时间:2016/7/23 0:00:00
修稿时间:2016/11/21 0:00:00

Distribution characteristics of pesticide application droplets deposition of unmanned aerial vehicle based on testing method of deposition quality balance
Wang Changling,He Xiongkui,Wang Xiaonan,Wang Zhichong,Wang Shilin,Li Longlong,Jane. Bonds,Andreas. Herbst,Wang Zhiguo and Mei Shuifa.Distribution characteristics of pesticide application droplets deposition of unmanned aerial vehicle based on testing method of deposition quality balance[J].Transactions of the Chinese Society of Agricultural Engineering,2016,32(24):89-97.
Authors:Wang Changling  He Xiongkui  Wang Xiaonan  Wang Zhichong  Wang Shilin  Li Longlong  Jane Bonds  Andreas Herbst  Wang Zhiguo and Mei Shuifa
Institution:1. College of Science, China Agricultural University, Beijing 100193, China;,1. College of Science, China Agricultural University, Beijing 100193, China;,1. College of Science, China Agricultural University, Beijing 100193, China;,1. College of Science, China Agricultural University, Beijing 100193, China;,1. College of Science, China Agricultural University, Beijing 100193, China;,1. College of Science, China Agricultural University, Beijing 100193, China;,2. Bonds Consulting Group LLC, Panama City Florida 32408, USA 3. Institute for Chemical Application Technology of JKI, Messeweg 11/12 D-38104 Braunschweig, Germany;,4. Quanfeng Aviation Plant Protection Technology Co., Ltd., Anyang 455001, China;,5. 61889 Regiment of PLA, Beijing 100094, China; and 5. 61889 Regiment of PLA, Beijing 100094, China
Abstract:Abstract: In order to explore the effect of flight parameters and other factors on unmanned aerial vehicle (UAV) spatial pesticide spraying deposition distribution and rotor''s downwash flow field distribution, in this study, we usedthe testing method of spatial pesticide spraying deposition quality balance to test model ''3WQF80-10'' single-rotor diesel plant-protection UAV. The test included the spatial deposition quality balance distribution, the bottom deposition distribution, and the coefficient of variation of deposition with downwash flow field to evaluate the application effect. The spraying droplets deposition rate of different spatial parts and downwash flow wind speed were measured with different flight directions, heights and crosswind speeds. The spatial spray deposition sampling frame (SSDSF) with triple monofilament wires was applied for collecting the droplets of UAV pesticide application in four directions, and a set of multi-channel micro-meteorology measurement system (MMMS) was used for measuring the downwash wind speed in three directions of X,Y and Z. The MMMS had 16 wireless micro-meteorology sensors, and all these sensors, separated into two rows at the spacing of 1.5 m, were arranged below the UAV flight path and in line with the SSDSF in wheat field. Besides, Beidou Navigation Satellite System was used for controlling and recording the working height, velocity and track of this model of single-rotor UAV. The sensor of model ''ZENO-3200'' weather station was set at the height of 6 m to record the environmental parameters at test site. Taking 0.1% mass fraction of brilliantsulfoflavin water solution as spraying liquid and pour the tracer liquid into the tank of the UAV before test. During every test, the operator controlled the UAV remotely to take off, when the UAV reached the required height, then opened the spray system and made the unmanned aircraft fly over the experimental area and went through the SSDSF. After tests, the monofilament wires on the SSDSF were measured for the absorbance of the tracer brillantsulfoflavin by the model ''SFM25'' fluorescence spectrometer. In tests of flight direction, four flights were implemented in the forward and backward directions and the results showed: at the height of (3.0±0.1) m, the velocity of (5.0±0.2) m/s and the crosswind speed of 1.2 m/s, the flight directions of ahead and back had an impact on droplets deposition distribution and the working effect of flying backwards, with 60% of deposition ratio of the bottom part of the SSDSF, was better than flying forwards. For tests of flight height, six tests of different heights were conducted and results were: at the height from 2.0 to 3.5 m, the velocity of (5.0±0.3) m/s and the crosswind speed of 0.8 m/s, the coefficient of variation (R2) of the bottom part was linearly associated with the flight height which was 0.9178, indicating that the deposition distribution became more uniform with the increase of height. Additionally, when it came to the tests of crosswind speed, five treatments were performed and results indicated that at the height of (3.0±0.1) m and the velocity of (5.0±0.3) m/s, there was a linear correlation between weighted mean deposition rate and crosswind speed and the coefficient of variation (R2) was 0.9684, which showed the deposition distribution got more concentrated towards the downwind part with the rise of the crosswind speed. Overall, according to the result of tests of downwash flow wind speed, our results showed that regardless of the flight direction and height and the crosswind, all these factors influenced the droplets deposition distribution via weakening the intensity of the downwash wind field in direction Y.
Keywords:spraying  pesticides  mechanization  plant-protection unmanned aerial vehicle  droplets  spatial spraying deposition quality balance  flight parameters  deposition
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