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基于图像处理的皮带机上煤量体积计量 被引量:10

Volume Measurement of Coal Volume on Belt Conveyor Based on Image Processing
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摘要 为了实现皮带机上煤体积实时计量,提出了一种基于图像处理技术实现皮带上煤量计量方法。通过线激光仪器和工业相机进行皮带机煤图像采集,首先对图像进行预处理,包括滤波、灰度化、二值化;然后通过图像膨胀减少骨架提取的毛刺现象,根据获取的空载无煤时刻的基线与实时获取的激光线,通过对比形成煤轮廓;计算出皮带上煤量截面积,根据截面积与皮带机带速关系实现皮带上煤量体积计量。通过在皮带机不同带速下进行试验测量,最大误差为4.2%,最小误差为0.9%,并且运行稳定。 In order to realize the real-time measurement of coal volume on belt conveyor,a method of measuring coal volume on belt based on image processing technology is proposed.The coal image of belt conveyor is collected by online laser instrument and industrial camera.First,the image is preprocessed,including filtering,graying and binarization,and then the bone is reduced by image expansion.According to the baseline of no-load coal-free time and the laser line of real-time acquisition,the coal profile is formed by comparison,and the cross-sectional area of coal quantity on belt is calculated.According to the relationship between cross-sectional area and belt speed of belt conveyor,the volume of coal quantity on belt is measured.The maximum error is 4.2%,the minimum error is 0.9%,and the operation is stable.
作者 贺杰 王桂梅 刘杰辉 杨立洁 HE Jie;WANG Gui-mei;LIU Jie-hui;YANG Li-jie(College of Mechanical and Equipment Engineering,Hebei University of Engineering,Handan,Hebei 056038,China)
出处 《计量学报》 CSCD 北大核心 2020年第12期1516-1520,共5页 Acta Metrologica Sinica
基金 河北省自然科学基金(E2019402436)。
关键词 计量学 煤体积计量 皮带机 图像处理 实时煤量计量 metrology coal volume measurement belt conveyor image processing real-time coal measurement
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  • 1刘健庄,栗文青.灰度图象的二维Otsu自动阈值分割法[J].自动化学报,1993,19(1):101-105. 被引量:365
  • 2方原柏.核子皮带秤的计量精度及其分析[J].自动化仪表,1994,15(9):12-15. 被引量:5
  • 3梁漫春,衣宏昌,张志康.一种新的在线称重方法[J].核电子学与探测技术,2006,26(4):443-445. 被引量:6
  • 4Medina-Oarnicer R, Madrid-Ouevas F J,Oarmona-Poyato A, et al. On candidates selection for hysteresis thresholds in edge detection[J]. Pattern Recognition,2009,42(7) :1284-1296.
  • 5LIN Chun-li, WANG Ke-jun, XlA Yu, et al. Detection method of moving object with small displacement[J]. Journal of Optoe- lectronics Laser,2011 ,:Z2(3) :418-421.
  • 6Sen D,Pal S K. Gradient histogramThresholding in a region of interest for edge detection[J]. Image and Vision Computing, 2010,28:677-695.
  • 7Otsu N. A threshold selection method form gray-level histo- grams[J]. IEEE transactions on systems, man, and cybernet- ics,1979,9(1) :62-66.
  • 8Baradez M O,McGuckin C P,Forraz N,et ai. Robust and auto- mated unimodal histogram thresholding and potential applica- tions[J]. Pattern Recognition, 2004,37: 1131-1148.
  • 9Rosin P L. Unimodal thresholding[J]. Pattern Recognition, 2001,34 : 2083-2096.
  • 10Medina-Oarnicer R, Madrid-Ouevas F J. Unimodal thresholding for edge detection[J]. Pattern Recognition, 2008,41 (7) : 2337- 2346.

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