Results 31 to 40 of about 377 (160)

Extraction of Coal and Gangue Geometric Features with Multifractal Detrending Fluctuation Analysis

Applied Sciences, 2018
The separation of coal and gangue is an important process of the coal preparation technology. The conventional way of manual selection and separation of gangue from the raw coal can be replaced by computer vision technology.
Kai Liu, Xi Zhang, YangQuan Chen
doaj   +1 more source

Forward simulation of electromagnetic waves in coal gangue model based on improved bidirectional peak-valley search algorithm

Gong-kuang zidonghua, 2023
Realizing automatic recognition of coal gangue content during the top coal caving process is an important goal of fully mechanized mining automation. The existing methods for automatic recognition of coal gangue content have problems such as low accuracy
SHI Xiangyu, SI Lei, WANG Zhongbin, WEI Dong, GU Jinheng   +4 more
doaj   +1 more source

Coal-gangue image recognition in fully-mechanized caving face based on random forest

Gong-kuang zidonghua, 2020
Aiming at problems of high difficulty in parameter adjustment, low prediction accuracy and easy over-fitting in present coal-gangue image recognition methods in fully-mechanized caving face, a coal-gangue image recognition method in fully mechanized ...
XUE Guanghui, LI Xiuying, QIAN Xiaoling, ZHANG Yunfei   +3 more
doaj   +1 more source

Fast recognition using convolutional neural network for the coal particle density range based on images captured under multiple light sources

International Journal of Mining Science and Technology, 2021
A method based on multiple images captured under different light sources at different incident angles was developed to recognize the coal density range in this study.
Feiyan Bai, Minqiang Fan, Hongli Yang, Lianping Dong   +3 more
doaj   +1 more source

PCViT: A Pre-Convolutional ViT Coal Gangue Identification Method

Energies, 2022
For the study of coal and gangue identification using near-infrared reflection spectroscopy, samples of anthracite coal and gangue with similar appearances were collected, and different dust concentrations (200 ug/m3, 500 ug/m3 and 800 ug/m3), detection ...
Jianjian Yang, Boshen Chang, Yuzeng Zhang, Yucheng Zhang, Wenjie Luo   +4 more
doaj   +1 more source

Design of photometric separation system for coal and gangue

Gong-kuang zidonghua, 2013
In view of requirements of underground separation and backfilling and utilization for coal and gangue, the paper proposed a design scheme of photometric separation system for coal and gangue based on laser 3D scanning and dynamic weighing.
WANG Wei-dong, ZHANG Chen, MA Zhong-liang, CAO Chun-xiao, WANG Tong-tong, ZHANG Lu-qi, REN Chun-xing, LIANG Jing   +7 more
doaj   +1 more source

Coal gangue recognition method based on water heat transfer and infrared thermal imaging

Gong-kuang zidonghua
The coal gangue recognition method based on visible light images has low accuracy and slow recognition speed. The coal gangue recognition method based on high-energy ray transmission has significant radiation, resulting in limited application.
CHENG Gang, CHEN Jie, PAN Zeye, WEI Yifan, CHEN Sensen   +4 more
doaj   +1 more source

Mechanism and disaster control new technology of strong ground pressure manifestation in ultra‐large mining face

Deep Underground Science and Engineering, EarlyView.
In response to the problem of strong mining pressure manifestation along the goaf roadway in a thick coal seam mining area, this study uses a new type of combined blasting roof cutting technology to effectively control the manifestation and deformation of mining pressure along the goaf roadway.
Xiaoding Xu, Manchao He, Jun Yang, Yubing Gao, Qiang Fu, Qing Ma, Yajun Wang   +6 more
wiley   +1 more source

Coal and gangue recognition research based on improved YOLOv5

Gong-kuang zidonghua, 2022
The existing deep learning-based coal and gangue recognition methods are prone to false detection and missed detection when applied to underground complex environments. The recognition precision of small target coal and gangue is low. In order to solve this problem, an improved YOLOv5 model is proposed, and coal and gangue recognition is realized based
ZHANG Shiru, HUANG Zongliu, ZHANG Yuanhao, ZHANG Ao, JI Liang   +4 more
openaire   +1 more source

Experimental and smoothed particle hydrodynamics‐finite element method simulation investigation of synergistic erosion mechanism of gangue‐based abrasive water jets

Deep Underground Science and Engineering, EarlyView.
This study proposes an eco‐friendly coal permeability enhancement technique by utilizing mine waste gangue as an abrasive in high‐pressure water jets. Integrating erosion experiments with smoothed particle hydrodynamics‐finite element method coupled simulations, the research study elucidates the flow field dynamics and a nonlinear solid–liquid ...
Qingxiang Wang, Jiaxu Tang, Qiheng Ren, Ding Wang, Tong Wang   +4 more
wiley   +1 more source