基于灰度识别的微粉煤灰分检测研究  

Fine Coal Ash Detection Research Based on Gray Recognition

作　　者：朱劲松[1,2] 章新喜[1,2] 何鑫[1,2] 陈晓炜[1,2] 刘磊[1,2] 李斌[1,2] 李超永 

机构地区：[1]中国矿业大学化工学院,江苏徐州221116 [2]中国矿业大学煤炭加工与高效洁净利用教育部重点实验室,江苏徐州221116

出　　处：《煤炭技术》2017年第3期309-311,共3页Coal Technology

基　　金：国家自然科学基金项目(U1361104);江苏高校优势学科建设工程资助项目(PAPD)

摘　　要：基于对微粉煤中不同组分对于光反射差异的理论基础,不同灰分的微粉煤图像灰度参数与其灰分之间存在相关关系。实验及分析结果表明:在白色光下,不同灰分的微粉煤图像灰度方差与其灰分之间存在明显的正相关关系。通过MATLAB软件拟合了灰度方差与灰分值之间的函数关系式。最后,对拟合关系式的灰分预测效果进行了检验,达到了灰分预测的效果。Based on the theory of different components have different light reflection in the fine coal and may exist a certain relationship with image gray parameter and ash contents of the dust coal. Through analyzing the experimental results, the relationship between image gray parameter and ash content of the fine coal is obvious under the white light. The function between the image gray parameter and ash content were fitted by MATLAB software, at the end, the effects of the function for ash prediction was checked and achieve expect.

关 键 词：微粉煤 图像灰度 灰分检测 数据拟合 

分 类 号：TD924[矿业工程—选矿]