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Study on the Gradation of Crushed Sand by Using a Novel Digital Image Processing Methodology

机译：用新型数字图像处理方法研究碎砂灰尘的研究

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摘要

It is a trend to replace the increasing shortage of natural sand with crushed sand for the development of building materials.To meet the construction requirements, it is necessary to measure the shape and gradation of crushed sand that is difficult tocontrol. To solve this problem, a novel digital image processing methodology is proposed in this paper. Through the setting ofcamera resolution, lens and light source selection, the hardware platform of the measurement systemwas developed. The shapeand gradation characterization method of dynamic falling crushed sand was studied, and the measurement software systemwas developed. Comparative experimental study of equivalent particle size, study of gradations repeatability experiment,comparative experimental study of dynamic digital image methodology and vibration sieving method of gradations andcomparative experimental study before and after correction were conducted, respectively. The experimental results show thatthe equivalent elliptic Feret short diameter is suitable as the equivalent particle size. The maximum repeatability error appearsin the size interval of 1.18–2.36 mm, which is 0.9%. The maximum gradation error is reduced from 6.93% before correctionto 2.77% after correction. The maximum error of fineness modulus is reduced from − 0.13 to − 0.01. The accuracy of thedeveloped measurement system can meet the actual engineering requirements, and it can realize the quality monitoring ofcrushed sand.
机译：这是一种趋势，可以取代自然沙滩不断短缺，以碎砂进行建筑材料的开发。为了满足施工要求，有必要测量难以的碎石的形状和灰度控制。为了解决这个问题，本文提出了一种新型数字图像处理方法。通过设置相机分辨率，镜头和光源选择，测量系统的硬件平台开发。形状研究了动态坠落碎砂的渐变表征方法，以及测量软件系统已开发。相同粒度的比较实验研究，渐变重复性实验研究，动态数字图像方法论和振动筛分方法的比较实验研究与进行校正前后的比较实验研究。实验结果表明等效的椭圆球短直径适合于等同的粒度。出现最大可重复性错误尺寸间隔为1.18-2.36 mm，为0.9％。最大灰度误差从校正前的6.93％降低纠正后的2.77％。细度模量的最大误差从 - 0.13至-01减少。的准确性开发的测量系统可以满足实际的工程要求，可以实现质量监测碎沙。

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  • 来源
    《Arabian Journal for Science and Engineering》 |2021年第5期|4627-4638|共12页
  • 作者

    Xiaoyu Huang; Jianhong Yang; Huaiying Fang; Wen Yu; Wenjing Huang; Weiduan Lin;

  • 作者单位

    Key Laboratory of Process Monitoring and SystemOptimization for Mechanical and Electrical Equipment Huaqiao University Xiamen 361021 Fujian China;

    Key Laboratory of Process Monitoring and SystemOptimization for Mechanical and Electrical Equipment Huaqiao University Xiamen 361021 Fujian China;

    Key Laboratory of Process Monitoring and SystemOptimization for Mechanical and Electrical Equipment Huaqiao University Xiamen 361021 Fujian China;

    Key Laboratory of Process Monitoring and SystemOptimization for Mechanical and Electrical Equipment Huaqiao University Xiamen 361021 Fujian China;

    Fujian South Highway Machinery Co. Ltd Quanzhou362021 Fujian China;

    Fujian South Highway Machinery Co. Ltd Quanzhou362021 Fujian China;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Crushed sand; Gradation; Vibration sieving method; Digital image methodology; Correction;

    机译：碎沙;层次;振动筛分方法;数字图像方法;更正;

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