玉米脱粒参数多工作模式智能决策研究
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国家现代玉米产业技术体系建设项目(CARS-02)和产业基础再造和制造业高质量发展专项(2023ZY02006)


Intelligent Decision Making for Maize Threshing Parameters in Multiple Operating Modes
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    摘要:

    针对玉米联合收获机作业过程中存在的籽粒损失严重、工作参数无法实时调节等问题,本文设计了一种玉米脱粒参数多工作模式智能决策系统,可动态调整脱粒装置工作参数,从而降低收获损失。探究了脱粒参数调控机理。开发了夹带损失监测系统和脱粒参数智能调控系统。基于Simulink环境构建了脱粒参数智能决策模型,对提出的系统进行了仿真测试,结果表明,在高效收获模式及低损收获模式下,系统均能较好地达到设定目标。通过现场测试验证了智能调控系统性能,试验结果表明,低损收获模式下,夹带损失率均值为1.767%,相对传统模式下降16.536%;高效收获模式下,夹带损失率均值为2.030%,相对传统模式上升1.970%,证明了所提出的系统表现良好,能够满足实际收获作业需求。研究结果为提升玉米联合收获机智能化水平提供了技术支撑。

    Abstract:

    Aiming at the problems of serious grain loss and working parameters not being able to be adjusted in real time during the operation of maize combine harvester, a maize threshing parameter multi-mode intelligent decision-making system was designed, which can dynamically adjust the working parameters of the threshing device so as to reduce the harvest loss. The mechanism of threshing parameter regulation was explored. The entrainment loss monitoring system and threshing parameter intelligent regulation system were developed. The intelligent decision model of threshing parameters was constructed based on Simulink environment, and the proposed system was simulated and tested, and the results showed that the system could better achieve the set objectives in both high-efficiency harvesting mode and low-loss harvesting mode. The performance of the intelligent regulation system was verified through field tests, and the test results showed that the average value of the entrainment loss rate was 1.767% in the low-loss harvesting mode, which was decreased by 16.536% relatively to the traditional mode;and the average value of the entrainment loss rate was 2.030% in the high-efficiency harvesting mode, which was increased by 1.970% relatively to the traditional mode, which proved that the proposed system performed well and met the requirements of actual harvesting operations. The research results can provide technical support for improving the intelligent level of maize combine harvester, and provide a reference for the improvement of maize crop harvesting yield and quality.

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董佳琪,崔涛,张东兴,杨丽,和贤桃,邢书仑.玉米脱粒参数多工作模式智能决策研究[J].农业机械学报,2025,56(8):314-319. DONG Jiaqi, CUI Tao, ZHANG Dongxing, YANG Li, HE Xiantao, XING Shunlun. Intelligent Decision Making for Maize Threshing Parameters in Multiple Operating Modes[J]. Transactions of the Chinese Society for Agricultural Machinery,2025,56(8):314-319.

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  • 收稿日期:2025-03-14
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  • 在线发布日期: 2025-08-10
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