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LU Shi-bin, LI Han-han. The Study of Intelligent Control Systems in Coal Yard Safety Based on Machine Vision[J]. Safety in Coal Mines, 2012, 43(1): 70-72.
Citation: LU Shi-bin, LI Han-han. The Study of Intelligent Control Systems in Coal Yard Safety Based on Machine Vision[J]. Safety in Coal Mines, 2012, 43(1): 70-72.

The Study of Intelligent Control Systems in Coal Yard Safety Based on Machine Vision

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  • Published Date: January 09, 2012
  • During the operations of producing flat yard in the coal mine,locomotive is the main driver of mine car running.Because of the operator or vehicle breakdown,etc.,it will occur that locomotive can not stop in normal which was deviated into inclined shaft and causing car accidents.In this paper,the operations of motor vehicle hung to top intelligently,using machine vision technology to identify the location of locomotive,locomotive was set the alarm location,deceleration position,stop position and corresponding position during the operation.This method is effective to prevent motor vehicle accidents and improve safety of job site.Experiments show that the security is improved since system is running great.
  • [1]
    杨胜强.加快发展煤矿安全生产环境监测技术与装备产业的对策[J].煤矿安全,2010(9).
    [2]
    章毓晋.图像工程(上册)[M].北京:清华大学出版社,2006.
    [3]
    廖俊必.图像匹配中噪声分析和预处理[J].光电工程,2002,29(6):61-66.
    [4]
    曾卫明,罗立民.基于小波分析的功能磁共振图像的去噪预处理[J].应用科学学报,2004,22(1):118-123.
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