深度学习算法下煤炭洗选过程中的粒度控制分析  

Particle Size Control in Coal Washing Process under Deep Learning Algorithm

作　　者：马靖远 MA Jingyuan(Puxian Haojinyuan Coal Industry Co.,Ltd.,Shanxi Coal Transportation and Sales Group,Linfen 041206,Shanxi,China)

机构地区：[1]山西煤炭运销集团蒲县昊锦塬煤业有限公司,山西临汾041206

出　　处：《能源与节能》2025年第2期40-43,共4页Energy and Energy Conservation

摘　　要：为提高煤炭洗选过程中粒度控制的精度与实时性,设计了基于深度学习算法的煤炭洗选粒度控制系统,探究了深度学习算法在煤炭洗选过程中的应用。研究发现,深度学习算法可提高粒度控制的精度与实时性,优化煤炭洗选工艺,提升生产效率和产品质量。结论表明,深度学习算法在煤炭行业具有广阔的应用前景,能推动行业的智能化和现代化发展。In order to improve the precision and real-time performance of particle size control in coal washing process,a coal washing particle size control system based on deep learning algorithm was designed.The application of deep learning algorithm in coal washing process was explored.It was found that the deep learning algorithm can improve the precision and real-time of particle size control,optimize the coal washing process,and improve production efficiency and product quality.The conclusion shows that deep learning algorithm has a broad application prospect in the coal industry and can promote the intelligent and modern development of the industry.

关 键 词：深度学习算法 煤炭洗选 粒度控制 

分 类 号：TD94[矿业工程—选矿]