油菜播种质量监测系统设计与试验

目的 为了获取油菜播种质量信息，并实现信息的显示、远程传输与云存储，提出了一套油菜播种质量监测系统。方法 该监测系统由油菜籽传感检测装置、播种监测终端、播种质量信息云存储平台组成。采用多种形式小粒径种子传感检测装置实现对播种质量信息的实时获取，基于射频通信模块实现与播种监测终端的数据交互；监测终端完成信息显示，并通过北斗定位单元对播种质量信息位置进行精确定位；通过无线传输模块，实现油菜播种质量信息数据的远程传输和云存储。搭建油菜播种质量监测系统试验台，通过田间试验验证系统的稳定性和可靠性。结果 设计的油菜播种质量监测系统能通过内嵌的北斗定位单元获取播种机经、纬度信息，同时可利用4G无线传输模块将播种质量信息及定位信息传输至云存储平台。台架试验结果表明，当排种器落种频率为16.5~26.2 Hz时，检测准确率不低于97.1%，采集的油菜播种质量信息均能够传输至播种监测终端并进行显示；播种质量信息均准确上传至云存储平台数据库，传输时长不超过2 s，且与终端显示数据一致。田间试验验证结果表明，排种频率为17.4~25.5 Hz时，检测准确率不低于96.6%，且系统运行正常。结论 该系统为油菜播种过程智能化提升、播种状态图生成及产量预测提供了技术支撑。

Design and test of monitoring system for rapeseed sowing quality

Objective To obtain rapeseed sowing quality information and realize information display, remote transmission and cloud storage, a rape sowing quality monitoring system was proposed.Method This system consisted of rapeseed sensor detection device, seeding monitoring terminal and seeding quality information cloud storage platform. Various forms of small particle size seed sensor detection devices were used to achieve real-time acquisition of sowing quality information, and a radio frequency communication module was used to achieve data interaction with the sowing monitoring terminal. The monitoring terminal completed the information display and realized the accurate positioning of the sowing quality information position through the Beidou positioning unit. This system realized the remote transmission and cloud storage of rape sowing quality information through wireless transmission module. A bench test of the rape sowing quality information collection system was built and field performance tests were conducted to verify the stability and reliability of this system.Result The designed seed quality information acquisition system could obtain seeder longitude and latitude information through the embedded Beidou positioning unit, and transmitted the seed quality information and positioning information to the cloud storage platform by 4G wireless transmission module. The bench test results showed that the detection accuracy rate was not lower than 97.1% when the seed dropping frequency of seed platter was 16.5?26.2 Hz. The collected seed quality information of rapeseed could be transmitted to the seed monitoring terminal and displayed. The seed quality information was accurately uploaded to the database of cloud storage platform, the transmission time did not exceed 2 s, and the information was consistent with the terminal display data. The field test results showed that the detection accuracy was no less than 96.6% at the seed dropping frequency of 17.4?25.5 Hz, and the system operated normally.Conclusion This system provides the support for the intelligent improvement of seeding process, the generation of seeding state diagram, and yield prediction.