爆破粒度的图像处理技术及其优化控制模型  

Image Processing Technique of Blasting Fragments and Its Optimization Control Model

作　　者：傅洪贤[1] 张幼蒂[1] 

机构地区：[1]中国矿业大学,江苏徐州221008

出　　处：《矿业安全与环保》2001年第2期8-9,52,共3页Mining Safety & Environmental Protection

摘　　要：基于图像处理技术，对爆堆的图象进行二值化、除噪、平滑、边界跟踪、区域充填，统计图像上块度的面积及周长。通过统计方法，推测块度的筛网尺寸、爆堆的粒度组成。利用回归方法，建立爆破粒度控制模型，为矿山爆破优化提供一种新方法。Based on image analysis techniques, the images of muckpiles become binary ones. The noise of binary ones is removed and the images are smoothed. The contours of targets in the images are extracted and filled up with different digits. The area and perimeters of the targets are calculated. By statistics, the sizes and percents of targets are inferred. By means of regression analysis, a blasting model to control sizes of fragments is established, and a new method of blasting optimization in mining is put forward.

关 键 词：矿岩块度 图像处理 矿山 爆破粒度 控制模型 优化设计 

分 类 号：TD235[矿业工程—矿井建设]