Results 41 to 50 of about 1,939 (176)

An Improved Method of Coal Gangue Deep Learning Recognition

, 2022
Aiming at the problems of the existing coal gangue recognition methods based on image processing, such as the inaccurate positioning of coal gangue targets on the conveyor belt, and the influence of belt background and local surface of coal gangue on the recognition process, a coal gangue recognition method based on deep learning is proposed.
Zheng, Libo, Feng, Yuan
openaire   +1 more source

Influence of Coal Gangue Volume Mixing Ratio on the System Contact Response When Multiple Coal Gangue Particles Impacting the Metal Plate and the Study of Coal Gangue Mixing Ratio Recognition Based on the Metal Plate Contact Response and the Multi-Information Fusion

IEEE Access, 2020
In order to clearly grasp the influence rules of the coal gangue volume mixture ratio on the system contact response, and finally realize the coal gangue mixing ratio recognition according to the contact response differences, on the basis of the Hertz ...
Yang Yang, Qingliang Zeng, Lirong Wan, Guangjun Yin   +3 more
doaj   +1 more source

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

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

Radiation characteristics of natural gamma-ray from coal and gangue for recognition in top coal caving

, 2018
Recognition of coal and gangue (roof rock) is a key technology to realize fully mechanized top coal caving automated mining. This paper proposes to detect the instantaneous refuse content of drawn coal and gangue mixture during top coal caving by using ...
Changyou Liu (1919344), Ningbo Zhang (20121294)   +1 more
core   +2 more sources

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

Coal and gangue recognition research based on improved YOLOv5

, 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.
ZHANG Shiru, ZHANG Ao, JI Liang, HUANG Zongliu, ZHANG Yuanhao   +4 more
core   +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