基于无线传感网络的无人机喷药沉积效果检测
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摘要
农业生产过程面临病虫草害的严重威胁,喷洒农药是较为常用的防治方法。随着农业飞行器的推广,以无人机作为载具的航空喷施发展迅速,成为当前最为理想的农药喷洒方式。无人机喷药的雾滴沉积特性对防治效果有很大影响,是当前研究的重点。为此,设计了一种无人机喷药的雾滴沉积效果检测系统,利用无线传感网络进行航线控制,进行采样点定位以及飞行速度、高度和下方风场的数据采集。结果表明:飞行速度和高度对雾滴沉积量有相似的影响,飞行速度对雾滴沉积量的影响大于飞行高度,而雾滴沉积均匀性主要受到无人机飞行速度的影响。该检测方法具有较高的准确性,可为拓宽无线传感网络的应用范围提供依据。
The agricultural production process faces the serious threat of pests and weeds. Spraying pesticides is a more common control method. With the promotion of agricultural vehicles,the rapid development of aviation spraying using unmanned aerial vehicles as the carrier has become the most ideal pesticide spraying method at present. The drop deposition characteristics of UAV spraying have a great influence on the control effect,which is the focus of current research. In this paper,we design a method to detect the droplet deposition effect of UAV spraying. The wireless sensor networks are used to control the flight path,locate the sampling points,and collect the data of the flight velocity,altitude and wind field below. The results show that the flight velocity and height have a similar effect on the amount of droplet deposition. The effect of flight velocity on the amount of droplet deposition is greater than the flight height. The droplet deposition uniformity is mainly affected by the flight velocity of the UAV. The detection method has higher accuracy and can provide the basis for widening the application range of wireless sensor networks.
The agricultural production process faces the serious threat of pests and weeds. Spraying pesticides is a more common control method. With the promotion of agricultural vehicles,the rapid development of aviation spraying using unmanned aerial vehicles as the carrier has become the most ideal pesticide spraying method at present. The drop deposition characteristics of UAV spraying have a great influence on the control effect,which is the focus of current research. In this paper,we design a method to detect the droplet deposition effect of UAV spraying. The wireless sensor networks are used to control the flight path,locate the sampling points,and collect the data of the flight velocity,altitude and wind field below. The results show that the flight velocity and height have a similar effect on the amount of droplet deposition. The effect of flight velocity on the amount of droplet deposition is greater than the flight height. The droplet deposition uniformity is mainly affected by the flight velocity of the UAV. The detection method has higher accuracy and can provide the basis for widening the application range of wireless sensor networks.
引文
[1]焦险峰,杨邦杰,裴志远.基于分层抽样的中国水稻种植面积遥感调查方法研究[J].农业工程学报,2006,22(5):105-110.
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[11]茹煜,金兰,贾志成,等.无人机静电喷雾系统设计及试验[J].农业工程学报,2015,31(8):42-47.
[12]陈盛德,兰玉彬,Bradley KF,等.多旋翼无人机旋翼下方风场对航空喷施雾滴沉积的影响[J].农业机械学报,2017,48(8):105-113.
[13]陈盛德,兰玉彬,李继宇,等.航空喷施与人工喷施方式对水稻施药效果比较[J].华南农业大学学报,2017,38(4):103-109.
[14]张瑞瑞,陈立平,兰玉彬,等.航空施药中雾滴沉积传感器系统设计与实验[J].农业机械学报,2014(8):123-127.
[15]张宋超,薛新宇,秦维彩,等.N-3型农用无人直升机航空施药漂移模拟与试验[J].农业工程学报,2015,31(3):87-93.
[16]金东勇,陈俊霞.无线传感器网络设计在无人机上的应用[J].中国科技信息,2017(8):79-80.
[2]李波,刘占宇,黄敬峰,等.基于PCA和PNN的水稻病虫害高光谱识别[J].农业工程学报,2009,25(9):143-147.
[3]戴小枫,叶志华,曹雅忠,等.浅析我国农作物病虫草鼠害成灾特点与减灾对策[J].应用生态学报,1999,10(1):119-122.
[4]周志艳,袁旺,陈盛德.中国水稻植保机械现状与发展趋势[J].广东农业科学,2014,41(15):178-183.
[5]弋晓康.我国植保机械的现状及发展趋势探讨[J].农机化研究,2007,29(3):218-220.
[6]薛新宇,梁建,傅锡敏.我国航空植保技术的发展前景[J].中国农机化,2008,29(5):27-28.
[7]巩春源,刘铁军.无人机农业植保的现状分析和产业发展[J].农业开发与装备,2016(9):136.
[8]李宗南,陈仲新,王利民,等.基于小型无人机遥感的玉米倒伏面积提取[J].农业工程学报,2014,30(19):207-213.
[9]杨贵军,李长春,于海洋,等.农用无人机多传感器遥感辅助小麦育种信息获取[J].农业工程学报,2015,31(21):184-190.
[10]娄尚易,薛新宇,顾伟,等.农用植保无人机的研究现状及趋势[J].农机化研究,2017,39(12):1-6.
[11]茹煜,金兰,贾志成,等.无人机静电喷雾系统设计及试验[J].农业工程学报,2015,31(8):42-47.
[12]陈盛德,兰玉彬,Bradley KF,等.多旋翼无人机旋翼下方风场对航空喷施雾滴沉积的影响[J].农业机械学报,2017,48(8):105-113.
[13]陈盛德,兰玉彬,李继宇,等.航空喷施与人工喷施方式对水稻施药效果比较[J].华南农业大学学报,2017,38(4):103-109.
[14]张瑞瑞,陈立平,兰玉彬,等.航空施药中雾滴沉积传感器系统设计与实验[J].农业机械学报,2014(8):123-127.
[15]张宋超,薛新宇,秦维彩,等.N-3型农用无人直升机航空施药漂移模拟与试验[J].农业工程学报,2015,31(3):87-93.
[16]金东勇,陈俊霞.无线传感器网络设计在无人机上的应用[J].中国科技信息,2017(8):79-80.