基于机器视觉的带送煤炭体积测量方法研究

Research on volume measurement method of coal on belt conveying based on machine visio

  • 摘要: 在分析现有带送煤炭动态计量方法特点及其应用现状的基础上,针对激光胶带秤计量精度较低的问题,提出了一种基于机器视觉的带送煤炭体积测量方法。该方法采用三角测距原理建立体积测量模型,通过一套适合于煤矿环境的图像获取装置完成图像采集;利用基于梯度优化的快速骨架抽取算法获取激光条纹中心,并基于距离阈值插值算法实现激光断线修补;通过计算激光条纹中心偏移量,根据体积测量模型实现煤炭体积测量。试验结果表明,该方法的体积测量误差低于常用激光胶带秤,更适用于带送煤炭动态计量。

     

    Abstract: Through analyzing characteristics and application status of current dynamic measurement methods of coal on belt conveying, a volume measurement method of coal on belt conveying based on machine vision was proposed in view of problem of lower precision of laser belt scale. Firstly, a volume measurement model was established based on principle of trigonometric distance measurement, and a set of image acquisition device suitable for coal mine environment was used to collect images. And then fast skeleton extraction algorithm based on gradient optimization was used to get center of line laser stripe, the interpolation method based on distance threshold was adopted to repair break line. Finally, according to the volume measurement model, the volume measurement of coal was realized by calculating the center offset of the laser stripe. Test results show that volume measurement error of the method is lower than that of the common laser belt scale, which is more suitable for dynamic measurement of coal on belt conveying.

     

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