煤炭工程 ›› 2013, Vol. 45 ›› Issue (12): 78-80.doi: doi:10.11799/ce201312028

• 研究探讨 • 上一篇    下一篇

煤仓煤位视觉检测机理及动态模型研究

陈昕1,乔铁柱2,申瑞屏3,郑补祥4   

  1. 1. 太原理工大学
    2. 太原理工大学测控技术研究所
    3. 山西省晋城煤业胡底煤业公司
    4. 西山煤电邢家社煤业有限责任公司
  • 收稿日期:2013-04-24 修回日期:2013-05-22 出版日期:2013-12-10 发布日期:2013-12-10
  • 通讯作者: 陈昕 E-mail:479138554@qq.com
  • 基金资助:

    山西省特色学科项目[2012]145号]资助

New visual inspection mechanism of coal bunker and dynamic model study

  • Received:2013-04-24 Revised:2013-05-22 Online:2013-12-10 Published:2013-12-10

摘要:

为了研究图像测距检测煤位的理论和方法,首先综合三维影像成像规律、视频信号合成及分解理论建立了基于Faugeras标定方法的煤仓煤位检测数学模型,分析得出了煤位图像信号与煤位变化之间的规律;其次,构建了煤仓煤位变化的试验仿真平台,研究了煤仓内煤位动态变化时图像信号的显示规律;根据数学模型建立煤堆顶点与轮廓点在图像显示中的数值计算模型;结果表明,图像波形显示的波形幅度越大,且煤位变化的绝对幅度值越大,曲线变化的斜率越大,煤位就越有可能出现凹陷区域;最后通过图像重建、仿真三维立体模型分析,并给出实验数据,表明理论研究、实验研究以及数值计算的结果是一致的。

关键词: 三维成像规律, 视觉煤位测距, 图像显示, 三维重建

Abstract:

In order to analyze theory and method of coal level detection by intelligent camera, firstly, mathematic model of coal level detection in bunker was established by three-dimensional imaging and synthesis and decomposition of vision signal, the variation law between image signal and coal level variation in bunker were obtained by theory analysis. Secondly, the experimental system for coal level detection in variation induced by the variation of image signal was constructed, and the image signal variation law was revealed. The numerical simulation model of the coal level detection in vision display was established, the simulation show that the greater the peak and contour points of coal level are, the faster the variation of image signal is, and the greater the initial value of coal level is, the higher the image signal is, and the coal level may have lightly pit. Finally, the image reconstruction shows that the theoretical analysis, experimental research and numerical results are consistent.

Key words: 3D image- forming principle, The coal level detection in vision, Image display, Image reconstruction