DOI: 10.11799/ce202412037
Feasibility analysis of coal intelligent dry separator in Shengli No.1 Open-pit Mine
ZHANG Haitao
SHI Guangyang
LI Wei
XIAO Bing
LI Yong
LI Hongbo
ZHANG Shuhe
LIU Suhua
SHANG Yi
LI Yongsheng
Abstract：Aiming at the problems of low coal recovery rate and environmental pollution caused by conventional gangue selection methods.We investigate the basic principle,use cases and production effect of intelligent dry separator,and compare the advantages and disadvantages with heavy media,jigging processes.To analyze the application of intelligent dry separator in Shengli No.1 Open-pit Mine,we analyze its feasibility based on the classification algorithm of deep learning,and the training exercises on a certain number of coal and gangue samples from the mine.According to the loss curve and recall curve,the model converges,and the initial combustion value of raw coal is 200 kcal/kg higher using the intelligent dry separator based on this classification model.
Keywords：intelligent dry separationdeep learningclassification modelsloss curverecall curve
Publication Date：2024-12-31
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 27-33 )