Results 1 to 10 of about 481 (133)

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, Luo Wenjie, Zhang Yucheng   +2 more
exaly   +3 more sources

Dielectric identification method and system design of coal gangue based on frequency shift characteristics [PDF]

Scientific Reports
This paper investigates the impact of variations in excitation frequency variations on the dielectric properties of coal gangue to enhance identification accuracy in challenging underground conditions.
Xinquan Wang, Meng Wu, Panpan Zhao
doaj   +2 more sources

Design and application of coal gangue sorting system based on deep learning [PDF]

Scientific Reports
With the advancement of science and technology, coal-washing plants are transitioning to intelligent, information-based, and professional sorting systems.
Kun Zhang, Zhen Wang, Zengbao Zhang, Zhiyuan Shi, Yuhao Qi, Mingchao Du, Yong Chen, Tijun Liu, Yumeng Chen, Zhuang Yin   +9 more
doaj   +2 more sources

A multi modal fusion coal gangue recognition method based on IBWO-CNN-LSTM [PDF]

Scientific Reports
Accurate identification of coal and gangue is a crucial guarantee for efficient and safe mining of top coal caving face. This article proposes a coal-gangue recognition method based on an improved beluga whale optimization algorithm (IBWO), convolutional
Wenchao Hao, Haiyan Jiang, Qinghui Song, Qingjun Song, Shirong Sun   +4 more
doaj   +2 more sources

Coal gangue recognition based on spectral imaging combined with XGBoost.

PLoS ONE, 2023
The identification of coal gangue is of great significance for its intelligent separation. To overcome the interference of visible light, we propose coal gangue recognition based on multispectral imaging and Extreme Gradient Boosting (XGBoost).
Minghao Zhou, Wenhao Lai
doaj   +2 more sources

Recognition method of coal and gangue based on multispectral spectral characteristics combined with one-dimensional convolutional neural network

Frontiers in Earth Science, 2022
Accurate identification of coal and gangue is very important for realizing efficient separation of coal and gangue and clean utilization of coal. Therefore, a method for identifying coal and gangue by using multispectral spectral information and a ...
Feng Hu, Feng Hu, Mengran Zhou, Mengran Zhou, Rongying Dai, Yu Liu   +5 more
doaj   +1 more source

Research on key technologies of intelligent gangue sorting robot

Gong-kuang zidonghua, 2022
This paper introduces the application and research status of the intelligent gangue sorting robot. This paper points out that the intelligent gangue sorting robot is mainly based on the principle of X-ray and image identification.
ZHANG Yuanhao, PAN Xiangsheng, CHEN Xiaojing, HUO Zhenlong, REN Shuwen, JI Liang   +5 more
doaj   +1 more source

Experimental study on microwave propagation characteristics of different coal-gangue mixtures

Meitan kexue jishu, 2023
The problem of coal-gangue identification is one of the technical problems that have not been effectively solved for a long time in the coal industry. By analyzing the characteristics and limitations of existing coal-gangue identification methods, the ...
Lei SI, Jiahao LI, Feng XING, Dong WEI, Jianbo DAI, Zhongbin WANG   +5 more
doaj   +1 more source

A coal-gangue optimization identification method

Gong-kuang zidonghua, 2020
Aiming at problem that target detection of coal-gangue image is not accurate due to wear of conveyor belt, which affects identification accuracy of coal-gangue, a coal-gangue optimization identification method is proposed.
ZHAO Minghui
doaj   +1 more source

Research on method of acquiring high quality coal gangue images under multi-factor illumination condition

Meitan kexue jishu, 2023
Aiming at the problem of poor imaging quality of coal and gangue surface features and low identification rate of coal and gangue caused by insufficient illumination conditions in the process of online coal separation,a new high-quality coal gangue image ...
CAO Xiangang, HAO Pengying, WANG Peng, LIU Siying, WU Xudong, HUO Xiaoquan   +5 more
doaj   +1 more source