安光辉, 马 蓉, 芦 帅, 刘 阳, 林鑫洁. 棉纤维质量密度光学检测模型的优化[J]. 农业工程学报, 2012, 28(10): 253-258.
    引用本文: 安光辉, 马 蓉, 芦 帅, 刘 阳, 林鑫洁. 棉纤维质量密度光学检测模型的优化[J]. 农业工程学报, 2012, 28(10): 253-258.
    An Guanghui, Ma Rong, Lu Shuai, Liu Yang, Lin Xinjie. Optimization of optical measurement model for mass density of cotton fiber[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2012, 28(10): 253-258.
    Citation: An Guanghui, Ma Rong, Lu Shuai, Liu Yang, Lin Xinjie. Optimization of optical measurement model for mass density of cotton fiber[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2012, 28(10): 253-258.

    棉纤维质量密度光学检测模型的优化

    Optimization of optical measurement model for mass density of cotton fiber

    • 摘要: 建立棉纤维质量密度检测模型对于在线测量气力输送管道内棉花流量具有重要作用。该文运用光吸收基本定律,研究棉纤维对不同波长光源的衰减作用。结果表明,选用波长940?nm近红外光作为光源时,品种、水分和环境温度的变化对测试结果影响不显著。因此,选用940?nm近红外光源作为发射器,构建棉纤维质量密度测量系统。通过测算透过棉纤维的光强衰减率,结合实际测量的相应区域棉纤维质量,利用回归分析建立棉纤维质量密度检测模型。模型验证结果显示,测量结果的平均误差达到6.1%,该研究为开发棉花流量传感器及输棉管内棉花流量的在线监测奠定基础。

       

      Abstract: The establishment of the detectible model of the cotton fiber mass density plays an important role in detecting the cotton flow for the pipeline of the online measurement through the pneumatic transportation. In this paper, the basic law of the light absorption was managed to study the attenuation of the cotton fibers for the light of the different wavelength. The results showed that changes of breed, moisture and ambient temperature had no significant relationship with the test results, when the near-infrared of the wavelength of 940 nm was selected as a light source. Therefore the near-infrared of the wavelength of 940 nm was selected as the emitter and the mass density measurement system of the cotton fiber was built. The decay rate of the light intensity of the cotton fiber was measured, the corresponding region of the actual measurement of cotton fiber quality was combined and regression analysis was used to establish the detectible model of the cotton fiber mass density. The validation results of the model demonstrated that the average error of the measurement results reached 6.1%.This research lays a foundation for on line monitoring of cotton flow rate in cotton pipe and developing sensors of cotton flow rate.

       

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