小麦精量播种无线远程可视化监测系统设计OA
Design of Wireless Remote Visualization Monitoring System for Wheat Precision Sowing
针对智慧农业的建设需求,开发了基于LabVIEW的小麦精量播种无线远程可视化监测软硬件系统,通过光纤落料传感器、高速计数模块和LoRa无线收发模块,实现了小麦颗粒播种实时计数、动态曲线显示、播种量预估、掉电保持、数据表显示与保存等功能.为降低由于外界干扰等造成的误计数,采用LabVIEW与MatLab混合编程的方法,开发了小波阈值滤波降噪程序,提升了系统的可靠性.开发了小麦精量播种试验系统,进行了精量播种与排种器监测试验,在排种器电机转速为12.6 r/min、排种器螺旋角度为30°的试验条件下,测得小麦精量播种监测系统的平均相对误差为2.59%;对小麦监测数进行了最小二乘拟合和相关性分析,线性度较好,表明监测系统测量的准确性与可靠性.排种器状态监测试验表明:系统能有效监测排种器故障造成的漏播,准确率达 90.71%.同时,开发了播种量计算模块,可通过目标产量、实产系数、穗粒数、千粒质量、分蘖率、种子纯度、发芽率和出苗率实现公顷播种量(kg/hm2)与公顷群体(万穗)的预估.以上研究表明:系统工作可靠、测量精度高、可视化效果好,对智慧农业精量播种的自动化与信息化建设具有重要的参考价值.
Aiming at the construction requirements of intelligent agriculture,a wireless remote visual monitoring software and hardware system for wheat precision seeding based on LabVIEW was developed.Through optical fiber blanking sen-sor,high-speed counting module and LoRa wireless transceiver module,the functions of real-time counting of wheat grain seeding,dynamic curve display,seeding quantity estimation,power-down maintenance,data table display and saving were realized.In order to reduce the error count caused by external interference,a wavelet threshold filtering noise reduc-tion program was developed by using LabVIEW and MatLab mixed programming method,which improved the reliability of the system.The wheat precision seeding test system was developed,and the precision seeding and metering device monito-ring test was carried out.Under the test conditions that the motor speed of the metering device was 12.6 r/min and the spiral angle of the metering device was 30°,the average relative error of the wheat precision seeding monitoring system was 2.59%.The least squares fitting and correlation analysis of the wheat monitoring number were carried out,and the linea rity was good,indicating the monitoring system was accurate and reliable.The condition monitoring test of the seed mete-ring device showed that the system could effectively monitor the missing seeding caused by the fault of the seed metering device,and the accuracy rate was 90.71%.The seeding amount calculation module was also developed,which could re-alize the estimation of seeding amount per hectare(kg/hm2)and population per hectare(ten thousand ears)by target yield,actual yield coefficient,grain number per ear,thousand grain weight,tillering rate,seed purity,germination rate and seedling emergence rate.The above research showed that the system was reliable,high measurement accuracy,good visualization effect,and had important reference significance for the automation and information construction of precision seeding in intelligent agricultural.
Zhang Huixian;Wang Rongxian;Ma Hao;Tian Liping;Yang Haijun;Miao Lingxia
School of Intelligent Manufacturing,Luoyang Institute of Science and Technology,Luoyang 471023,ChinaSchool of Intelligent Manufacturing,Luoyang Institute of Science and Technology,Luoyang 471023,China||Long-men Laboratory,Luoyang 471000,ChinaLong-men Laboratory,Luoyang 471000,China||College of Agricultural Equipment Engineering,Henan University of Science and Technology,Luoyang 471000,ChinaSchool of Intelligent Manufacturing,Luoyang Institute of Science and Technology,Luoyang 471023,ChinaSchool of Intelligent Manufacturing,Luoyang Institute of Science and Technology,Luoyang 471023,ChinaSchool of Intelligent Manufacturing,Luoyang Institute of Science and Technology,Luoyang 471023,China
信息技术与安全科学
精量播种监测系统LabVIEW通信协议最小二乘法
precision sowingmonitoring systemLabVIEWcommunication protocolleast squares method
《农机化研究》 2026 (4)
206-213,8
河南省重大科技专项(龙门实验室重大科技项目)(231100220200)河南省重大科技专项(221100110800)河南省高等学校重点科研项目(23A460023)河南省科技攻关项目(242102221015)
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