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智能化农业装备学报(中英文) ›› 2020, Vol. 1 ›› Issue (2): 26-33.DOI: 10.12398/j.issn.2096-7217.2020.02.004

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水稻收割机作业质量在线监测系统研制与试验*

陈满, 金诚谦, 杨腾祥, 张光跃, 倪有亮   

  1. 农业农村部南京农业机械化研究所,南京市, 210014
  • 收稿日期:2020-09-20 出版日期:2020-11-15 发布日期:2021-11-30
  • 通讯作者: 金诚谦,男,1973年生,安徽潜山人,博士,研究员,博导;研究方向为智能农机及农业机械化。E-mail:412114402@qq.com
  • 作者简介:陈满,男,1985年生,福建福清人,博士,副研究员;研究方向为智能农机控制及自动化装备。E-mail:chm_world@163.com
  • 基金资助:
    *国家重点研发计划“智能农机装备”重点专项(2017YFD0700305); 中央级公益性科研院所基本科研业务费专项(S201901、S201902、S201903)

Development and test of on-line monitoring system for rice harvester operation quality*

Man Chen, Chengqian Jin, Tengxiang Yang, Guangyue Zhang, Youliang Ni   

  1. Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing, 210014, China
  • Received:2020-09-20 Online:2020-11-15 Published:2021-11-30
  • Contact: Chengqian Jin, Doctor, Researcher, Doctoral supervisor, research direction: intelligent agricultural machinery and agricultural mechanization. E-mail: 412114402@qq.com
  • About author:Man Chen, Doctor, Associate Researcher, research direction: intelligent agricultural machinery control and automation equipment. E-mail: chm_world@163.com
  • Supported by:
    *National Key R & D Program of China (2017YFD0700305); Basic Scientific Research Service Fee of Chinese Academy of Agricultural Sciences (S201901、S201902、S201903)

摘要: 针对水稻收割机作业质量(破碎率、含杂率、损失率)在线监测系统缺乏的问题,本文构建了水稻收割机作业质量在线监测系统,其中GPS模块实现田间作业速度和作业位置实时监测,破碎含杂率检测装置实现破碎率、含杂率在线监测,损失率检测装置实现损失率的在线检测,各功能模块通过CAN总线与人机交互系统实现数据通信,开展了相关的田间试验验证系统的性能。研究结果表明,水稻收割机作业质量在线监测系统含杂率的监测精度达到82.76%以上,破碎率的监测精度达到78.69%以上,损失率的检测精度达到73.53%以上;针对作业质量实时变化趋势,人工检测与水稻收割机作业质量在线监测系统检测的结果一致,实验组间人工检测到作业质量参数升高或降低时,系统检测结果也显示该参数数值升高或降低。由此可见,本文构建的水稻收割机作业质量在线监测系统能够实现水稻机械化收获质量可视化监测与报警,能够为智能水稻收割机作业质量参数在线监测及自适应控制策略研究提供有力的技术支持。

关键词: 水稻, 收割机, 在线监测, 破碎率, 含杂率, 损失率

Abstract: Aiming at the lack of on-line monitoring system of rice harvester's crushing rate, impurities rate and loss rate, this paper constructs an on-line monitoring system of rice harvester's operation quality. The GPS module in the system can realize the real-time monitoring of field operation speed and operation position. On-line detection devices are used to monitor the crushing rate, impurities rate and the loss rate during field operations. Each function module realizes data communication with a man-machine interaction system through CAN bus. A field experiment was carried out to verify the accuracy of the system. The results show that the accuracy of the on-line monitoring system for the rice harvester operation quality is 82.76% for crushing rate, 78.69% for impurities rate, and 73.53% for loss rate. In the field test, when the manual test results of operation quality increase, the system test results increase correspondingly, and when the manual test results decrease, the system test results decrease correspondingly. Therefore, the detection results of manual and system on the change trend of operation quality are consistent. Therefore, the on-line monitoring system of operation quality of rice harvester constructed in this paper can realize visual monitoring, give an alarm in time when the working quality of harvester becomes worse and provide powerful technical support for intelligent rice harvester and research on adaptive control strategy.

Key words: rice, combine harvester, on-line monitoring, crushing rate, impurities rate, loss rate

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