Study on the prediction of gangue content rate in fully mechanized caving face based on DeepLab v3+

To tackle the challenge of accurately determining the volumetric gangue content rate under actual stacking conditions of coal-gangue in fully mechanized caving faces, a prediction method based on the DeepLab v3+ model was proposed. A dataset consisting of images depicting coal-gangue accumulation wa...

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Bibliographic Details

Published in:	Gong-kuang zidonghua
Main Authors:	WANG Zhifeng, WANG Jiachen, LI Lianghui, AN Bochao
Format:	Article
Language:	Chinese
Published:	Editorial Department of Industry and Mine Automation 2024-10-01
Subjects:	intelligent coal caving fully mechanized caving faces gangue content rate coal- gangue identification volumetric gangue content rate semantic segmentation deeplab v3+ model
Online Access:	http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024070001