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| 基于功率监测的联合收割机喂入量预测方法 |
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刘元元1, 刘卉1, 尹彦鑫2,3, 安晓飞2,3
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| (1.首都师范大学 信息工程学院, 北京 100048;2.国家农业智能装备工程技术研究中心, 北京 100097;3.北京农业智能装备技术研究中心, 北京 100097) |
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| 摘要: |
| 针对联合收割机喂入量主要基于人工经验调控，受人为因素影响较大的问题，分析割台螺旋输送器动力学模型，对螺旋输送器功率和喂入量的关系进行研究；开发基于CAN总线通信联合收割机割台工况嵌入式监测系统，对联合收割机工况进行实时监测。结果表明：1）螺旋输送器功率和喂入量具有数学关系；2）本研究设计的联合收割机割台工况嵌入式监测系统运行可靠，能够实时采集联合收割机工况信息；3）对试验数据回归分析，得到了螺旋输送器功率和喂入量的数学表达式，其相关系数为R2=0.909 9，表明监测割台螺旋输送器功率预测喂入量是可行的。 |
| 关键词: 联合收割机 螺旋输送器功率 喂入量预测 嵌入式系统 CAN总线 |
| DOI：10.11841/j.issn.1007-4333.2017.11.18 |
| 投稿时间：2016-10-02 |
| 基金项目:国家"863"高技术研究发展计划项目（2013AA102308）；北京市科技计划课题（D161100003216001）；北京市农林科学院青年科研基金（QNJJ201529）。 |
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| Feeding assessment method for combine harvester based on power measurement |
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LIU Yuanyuan1, LIU Hui1, YIN Yanxin2,3, AN Xiaofei2,3
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| (1.College of Information Engineering, Capital Normal University, Beijing 100048, China;2.National Engineering Research Center for Intelligent Agricultural Equipment, Beijing 100097, China;3.Beijing Research Center for Intelligent Agricultural Equipment, Beijing 100097, China) |
| Abstract: |
| The feeding rate prediction of combine harvester was greatly influenced by artificial experience and artificial factors.The power of header screw conveyer theoretically was analyzed intensely through torsion analysis to reveal the dynamic law between the feeding rate of combine harvester and the power consumption of header screw conveyer.An on-line monitoring system was developed based on CAN bus technology to collect the real-time dynamic data of screw conveyer.Experiments were conducted to verify developed model based on the real-time data.The result demostrated and verified that:1) The model between the feeding rate and power of header screw conveyer could be described as mathematical relationship.2) The on-line monitoring system was realizable to collect working data of combine harvester in real time.3) Regression analysis of real-time data showed that the power of screw conveyor and the feeding rate was a mathematic expression (R2=0.909 9).In conclusion,it was feasible to predict feeding rate by monitoring screw conveyer power consumption. |
| Key words: combine harvester screw conveyer power feeding rate prediction embedded system CAN bus |
