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丝状物料堆积体积的激光在线测量方法

Online measurement method of stacked volume of filamentary material based on laser sensing technology

  • 摘要: 为了实时、准确测量皮带输送过程中丝状加工物料的堆积体积流量,采用激光传感技术,结合物料表面轮廓点云数据平滑算法,提出了一种丝状物料堆积体积的在线测量方法,并进行了理论分析和实验验证,取得了3种不同平滑算法处理后的堆积体积测量精度及重复性数据。结果表明,该方法能够准确获得被测物的高度、宽度、截面积等信息,但体积的重复性较差,变异系数接近5%;3种算法中,Moving算法对烟丝表面轮廓点云数据的平滑效果最好;使用Moving算法对表面轮廓数据进行前处理后,体积测量的极差降至105.20 cm3,变异系数降至1.36%,烟丝堆体积的单次测量精度和多次测量的重复性均大幅提高。该研究对提升卷烟生产各工序的控制稳定性、优化各项工艺指标是有帮助的。

     

    Abstract: In order to measure the stacked volume of filamentary material on the conveyor belt in real-time and accurately, a laser sensing technology was used to establish an online measurement method, combined with the smoothing algorithm of material surface contour point cloud data. Theoretical analysis and experimental verification were conducted to obtain the measurement accuracy and repeatability data of stacked volume after processed by three smoothing algorithms. The results show that, the height, width and cross-sectional area of the material accurately can be obtained, but the repetitiveness of volume is bad, whose variation coefficient is close to 5%. The smoothing effect of Moving algorithm is best. After the contour data is processed by Moving algorithm, the range and variation coefficient of volume decreased to 105.20 cm3 and 1.36% respectively, the single accuracy and multiple repetitiveness are both greatly improved. The results are helpful to improve the control stability and various indicators of process in cigarette production.

     

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