Results 31 to 40 of about 381 (157)

Research on key generic technology of multi-arm intelligent coal gangue sorting robot

Meitan kexue jishu, 2023
According to the intelligent green development strategy of coal mine in our country, the research status of intelligent coal gangue sorting system at home and abroad is deeply analyzed.
MA Hongwei, ZHANG Ye, WANG Peng, WEI Xiaorong, ZHOU Wenjian   +4 more
doaj   +1 more source

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

An Image Recognition Method for Coal Gangue Based on ASGS-CWOA and BP Neural Network

Symmetry, 2022
To improve the recognition accuracy of coal gangue images with the back propagation (BP) neural network, a coal gangue image recognition method based on BP neural network and ASGS-CWOA (ASGS-CWOA-BP) was proposed, which makes two key contributions. Firstly, a new feature extraction method for the unique features of coal and gangue images is proposed ...
Dongxing Wang, Jingxiu Ni, Tingyu Du
openaire   +1 more source

Research on Coal and Gangue Recognition Model Based on CAM-Hardswish with EfficientNetV2

Applied Sciences, 2023
In response to the multiscale shape of coal and gangue in actual production conditions, existing coal separation methods are inefficient in recognizing coal and gangue, causing environmental pollution and other problems.
Na Li, Jiameng Xue, Sibo Wu, Kunde Qin, Na Liu   +4 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