陈树人, 仇华铮, 李耀明, 卢 强. 谷物流量传感器试验台的设计与试验[J]. 农业工程学报, 2012, 28(16): 41-46.
    引用本文: 陈树人, 仇华铮, 李耀明, 卢 强. 谷物流量传感器试验台的设计与试验[J]. 农业工程学报, 2012, 28(16): 41-46.
    Chen Shuren, Qiu Huazheng, Li Yaoming, Lu Qiang. Design and experiment of test-bed for grain flow sensor[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2012, 28(16): 41-46.
    Citation: Chen Shuren, Qiu Huazheng, Li Yaoming, Lu Qiang. Design and experiment of test-bed for grain flow sensor[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2012, 28(16): 41-46.

    谷物流量传感器试验台的设计与试验

    Design and experiment of test-bed for grain flow sensor

    • 摘要: 为了配合切纵流谷物联合收割机大喂入量流量监测系统的开发,该文根据测产需要,研制了一种谷物流量传感器标定试验台。试验台采用刮板式升运器结构,升运器倾角70°~90°。谷物由入粮箱喂入后,通过对插板的调节,可控制试验过程中不同谷物流量大小。基于图像化编程语言LabVIEW,采用NI(national instrument)数据采集卡,建立了一个多通道数据采集系统,可实现喂入粮箱的质量信号、振动信号及谷物流量信号波形和数值的实时显示、存储和分析。室内标定试验结果表明,在没有外力影响的情况下,喂入量的大小对测产精度的影响较大,尤其小流量时,测产误差达到6.55%。系统动态质量平均误差为4.02%,测产平均误差为4.24%,基本满足大喂入量流量监测系统的需要。本试验台研制为谷物流量传感器提供了一个开发平台。

       

      Abstract: In order to developing a large feed flow monitoring system of the tangential-axial grain combine harvester, a grain flow sensor calibrating test-rig was developed. Scraper elevator was adopted on the test-rig, and the inclination angle of the elevator was 75°-90°. After the grain being fed into the grain tank, grain flow rate could be controlled by adjusting the opening gap of the flapper during the test. By using the National Instrument DAQ data board, a multi-channel data acquisition system based on graphical programming language LabVIEW was designed, which could realized functions, such as the real-time displaying, recording, analysis of signal of the feed grain tank’s weight, vibration signal and grain flow signal wave. Excluding the impact of the external forces, indoor calibration tests shown that grain feed rate had a great influence to the yield estimation accuracy. When the flow rate was very small, the yield estimation error was up to 6.55%. The average error of the dynamic grain weighing was 4.02% and the average yield estimation error was 4.24%, which could meet the requirement of the large feed flow monitoring system. The designing of this test rig provides a development platform for the grain flow sensor.

       

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