植保无人机飞行参数对施药雾滴沉积分布特性的影响

    Effect of flight parameters on distribution characteristics of pesticide spraying droplets deposition of plant-protection unmanned aerial vehicle

    • 摘要: 为探究植保无人机喷雾田间雾滴沉积分布特性和飞行参数及参数精准度对沉积分布影响,该文采用高精度北斗卫星定位系统获取无人机精准飞行参数,以柠檬黄示踪剂水溶液代替农药对4种典型国产植保无人机进行了小麦田间喷雾试验,并将其中2种单旋翼无人机的飞行参数与其变异系数、均方根误差相结合,对雾滴沉积分布特性的影响因素进行了研究。结果表明:4种无人机施药在航线两端区域内沉积量变化剧烈,航线中间区域沉积量较稳定;影响横向雾滴沉积分布主要因素是无人机相邻喷头或喷幅间的雾滴重合度;对于单旋翼无人机,在高度1.1~1.2 m、速度4.2~4.9 m/s的范围内,沉积量与速度均方根误差呈极显著线性正相关关系(P<0.01,r=0.952),纵向沉积量变异系数与速度变异系数呈极显著线性正相关关系(P<0.01,r=0.963),总体沉积量变异系数与高度呈显著线性负相关关系(P<0.01,r=-0.888);使用速度均方根误差、速度变异系数和高度这3个飞行参数和参数精准度指标来分析和预测雾滴沉积量和分布均匀性的方法合理、有效、可行。根据试验结果,该文给出了相关合理建议以改善植保无人机施药效果,研究结果可为植保无人机田间喷雾作业参数确定、作业条件的选择和田间作业规范的制定提供参考。

       

      Abstract: Abstract: As a consequence of population aging and shrinkage in China, the trend of labor shortage for agricultural production has grown and will continue in future. Acceleration of agricultural mechanization has been proposed as a developmental strategy in support of steady and sustainable development of agriculture in China. In alignment with this national developmental plan, the use of unmanned aerial vehicle (UAV) for pesticide application contributes to the advancement of plant protection mechanization by providing improved ability to apply pesticide in a time sensitive manner with enhanced safety and efficiency. The flight parameter of UAV was one kind of the most important indices affecting the quality of aerial pesticide application. To explore the distribution characteristics of pesticide spraying droplets deposition of UAV and the effect of flight parameters (flight altitude and velocity) and parameter accuracy on the deposition distribution characteristics, the spraying droplets depositions of 4 models of typical Chinese domestic UAVs (3WQF120-12, Mercury Ⅰ, 3WCJ8-10 and 3WQFTX-10) were tested in the wheat field in Xinxiang City, Henan Province in April, 2017. The high-precision Beidou navigation satellite system was used for recording the accurate working altitude, velocity and track of UAV, and the tartrazine tracer water solution of 0.5% was adopted to replace pesticide liquid for spraying. The filter paper with the diameter of 7 mm was used for collecting spraying droplets from UAV at the height of 0.7 m on the top of the wheat canopy, and the sensor of Zeno-3200 weather station was set at the height of 6 m to record the environmental parameters at test site. The size of the testing field was 50 m × 100 m and there were 15 sampling points in a straight line with 3 duplications for longitudinal droplet deposition distribution and 11 sampling points also with 3 duplications for crosswise one. During every test, the operator controlled the UAV remotely to take off, when the UAV reached the required height, then open the spraying system and make the unmanned aircraft fly over the experimental area according to the planned flight. After tests, the eluent from the filter paper was used to measure the absorbance of the tracer tartrazine by the 722 type spectrophotometer and the droplet deposition in every test was figured out. Combining the flight parameters with their coefficient of variation (CV) and root mean square error (RMSE), the impact factors on deposition distribution characteristics were studied and the results were analyzed by significance and regression analysis via SPSS 20 software. The results showed: The deposition in the area of both ends of flight route varied violently (30%<CV<70%) and there were the maximal values, while the deposition in the area of the middle of route was relatively steady (CV<20%); the main factor impacting the crosswise deposition distribution was the overlap ratio of droplets of adjacent nozzles and spraying swath, and too high or too low overlap ratio both led to the poor uniformity of droplets distribution; with regard to pesticide application operation of single-rotor UAV, at the altitude of 1.1-1.2 m, and the velocity of 4.2-4.9 m/s, there was a high significant positive correlation between average droplets deposition and the RMSE of flight velocity (P<0.01,r=0.952) and between the CV of the longitudinal droplets deposition and the CV of flight velocity (P<0.01,r=0.963), and the CV of the total deposition was significantly negatively correlated with the average flight altitude (P<0.01,r=-0.888). So, the method that the droplets deposition and distribution uniformity were analyzed and predicted by the flight parameters and their accuracy, such as the RMSE and CV of flight velocity and flight altitude, was reasonable, effective and feasible. The results of this study provide some theory reference for the determination of the ideal spraying parameters of UAV pesticide application work, the choice of environmental conditions of UAV operation and the formulation of standard working practice of UAV aerial spraying.

       

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