浙江农业学报 ›› 2024, Vol. 36 ›› Issue (6): 1389-1399.DOI: 10.3969/j.issn.1004-1524.20230772

• 生物系统工程 • 上一篇    下一篇

棉花播种监测系统设计与试验

焦丙炎1(), 史增录1,2,*(), 张学军1,2, 张海涛1, 于永良3, 王堆金3   

  1. 1.新疆农业大学 机电工程学院,新疆 乌鲁木齐 830052
    2.新疆智能农业装备重点实验室,新疆 乌鲁木齐 830052
    3.新疆天诚农机具制造有限责任公司,新疆 铁门关 841007
  • 收稿日期:2023-06-17 出版日期:2024-06-25 发布日期:2024-07-02
  • 作者简介:焦丙炎(1998—),男,河南驻马店人,硕士研究生,研究方向为农业机械化与装备工程。E-mail:1803739951@qq.com
  • 通讯作者: *史增录,E-mail:shizlfd@qq.com
  • 基金资助:
    新疆农机研发制造推广应用一体化项目(YTHSD2022-02);自治区区域协同创新专项(科技援疆计划)项目(2021E02055);新疆维吾尔自治区重大科技专项(2022A02003-3)

Design and experimentation of cotton sowing monitoring system

JIAO Bingyan1(), SHI Zenglu1,2,*(), ZHANG Xuejun1,2, ZHANG Haitao1, YU Yongliang3, WANG Duijin3   

  1. 1. College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China
    2. Xinjiang Key Laboratory of Intelligent Agricultural Equipment, Urumqi 830052, China
    3. Xinjiang Tiancheng Agricultural Equipment Manufacturing Co., Ltd., Tiemenguan 841007, Xinjiang, China
  • Received:2023-06-17 Online:2024-06-25 Published:2024-07-02

摘要:

针对新疆地区棉田在播种过程中,因穴播器取种、排种不畅产生的棉种漏播问题,设计了一种准确监测穴播器取种状态的监测系统。系统选用STM32单片机作为主控制器,激光对射型传感器和霍尔传感器作为监测元件,获取穴播器的取种信息,计算出播种总数和空穴率并传输到人机交互显示屏上,同时通过GPRS通信模块将播种数据实时上传到远程服务器。搭建棉花取种信息监测试验台,并通过田间试验验证系统的稳定性和精度。台架试验结果表明,在穴播器转速为30~45 r·min-1时,合格穴数的监测精度不低于98.09%,空穴数的监测精度不低于95.69%,监测系统的精度完全满足工作需求。田间试验结果表明,在拖拉机行驶速度为2.5~3.8 km·h-1时,合格穴数的监测精度最低为95.06%,相比台架试验下降了3.03百分点;空穴数的监测精度最低为91.89%,相比台架试验下降了3.80百分点。将系统监测和人工监测的样本数据进行F检验,系统监测与人工实测的合格穴数和空穴数的F值<F0.975(7.15),P0.05值>0.05,表明系统监测的数据与人工监测的数据无显著性差异。该监测系统在田间作业过程中有较高的稳定性和精度,能够满足棉花精量播种的取种状态监测要求,对棉花的增产增收具有重要意义。

关键词: 传感器, 穴播器, 监测系统, 监测精度

Abstract:

A monitoring system is designed to accurately monitor the seed extraction status of the hole sowers in Xinjiang cotton fields due to seed leakage caused by poor seed extraction and seed discharge of the hole sowers. The system used a STM32 microcontroller as the main controller, a laser sensor and a Hall sensor as the monitoring elements to obtain the seed extraction information of the hole sower, calculated the number of qualified holes and the empty hole rate and transmit them to the human-machine interaction display, and uploaded the seed extraction data to a remote server in real time through a GPRS communication module. A test bench was built to monitor the seed picking information of cotton, and the stability and accuracy of the system were verified through field trials. The results of the bench test showed that the monitoring accuracy of the number of qualified holes was not less than 98.09% and the number of empty holes was not less than 95.69% when the speed of the hole sower was 30-45 r·min-1, and the accuracy of the monitoring system fully met the working requirements. The field test results showed that the monitoring accuracy of the number of qualified holes was 95.06% when the tractor was traveling at 2.5-3.8 km·h-1, which was 3.03 percentage points lower than that of the bench test; the monitoring accuracy of the number of empty holes was 91.89%, which was 3.80 percentage points lower than that of the bench test. The sample data from the system monitoring and manual monitoring were subjected to F-test, and the F-value of the number of qualified holes and empty holes between the system monitoring and manual actual measurement was< F0.975 (7.15), with a P0.05 value>0.05, indicating that there was no significant difference between the data from the system monitoring and manual monitoring. The monitoring system has high stability and accuracy in the field operation process, and can meet the requirements of monitoring the seeding status of cotton precision sowing, which is of great significance to the increase of cotton yield and income.

Key words: sensor, hole sower, monitoring systems, monitoring accuracy

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