摘要
目前,我国施药技术落后,造成了农药浪费和环境污染。为此,提出了WiFi遥控精确对靶喷雾控制系统的设计方案,并针对无驾驶室喷雾机设计了基于Android对靶喷雾控制系统遥控软件、喷雾控制器,以及基于二维激光传感器的靶标检测算法。Android遥控软件通过socket将喷雾启停等参数传递给喷雾控制器,控制喷雾控制器进行激光数据采集及数据处理等工作。引入软件延时,将喷头状态通过串口延时发送给下位机并通过socket延时发送给Android遥控器显示,确保靶标检测与喷雾的一致性。本文的靶标检测算法经过MatLab软件仿真,能准确实现各喷头区域内靶标的检测。试验表明:Android遥控器能在WiFi环境下远程控制喷雾控制器,软件界面能实时显示各喷头状态,下位机模块的LED能实时模拟喷头状态。
At present,pesticide application technology is backward in China,resulting in pesticide waste and environmental pollution. Therefore, this paper proposes a design scheme of accurate target spray system remote controlled through Wi Fi,including Android remote controller aimed at controlling the sprayer without a driver's cab,spray controller and target detection algorithm based on two-dimensional laser sensor. Android remote controller passes the parameters such as spray start and stop to the spray controller through socket in order to control the spray controller to collect laser data,process data. Software delay has been introduced to the system. The states of the nozzles are sent to the lower computer through the serial port and are sent to the Android remote controller through socket delay to ensure the consistency of target detection and spray. Through simulation with MATLAB,the target detection algorithm of this paper can detect the target of each nozzle area accurately. The test proves that the Android remote controller can remote control the spray controller in the WiFi environment and the software interface can display the states of nozzles in real time. At the same time,the LED of the lower computer module can simulate the states of the nozzles in real-time.
作者
徐波
李秋洁
束义平
周宏平
孙靓
Xu Bo;Li Qiujie;Shu Yiping;Zhou Hongping;Sun Jing(College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China;College of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China)
出处
《农机化研究》
北大核心
2018年第11期51-57,共7页
Journal of Agricultural Mechanization Research
基金
国家林业局"948计划"项目(2015-4-56)
江苏省产学研联合创新资金-前瞻性联合研究项目(BY2014006-02)
江苏省人社厅博士后科研资助计划项目(KY201503551)