Results 81 to 90 of about 1,939 (176)

Accurate recognition of coal-gangue image based on lightweight HPG-YOLOX-S model

, 2022
The existing coal-gangue separation methods based on vision technology have problems of large model parameter amount, poor feature extraction capability and low recognition precision. In order to solve the above problems, a coal-gangue recognition method
DAI Wei, DONG Liang, LU Zhaolin, SHAO Ming, YU Dawei, CHEN Biao   +5 more
core   +1 more source

Mullite production by valorization of a hydrodesulphurization catalyst waste

Journal of the American Ceramic Society, Volume 109, Issue 1, January 2026.
Due to its high alumina and silica content, Ni–Mo catalyst waste is a suitable, amorphous raw material for producing aluminosilicate phases. Thermal treatment of the waste at 1200°C for 30 min yields a material containing 50 wt.% mullite and exhibiting 96% overall crystallinity. The addition of amorphous silica significantly enhances mullite formation:
Rafael Carrizosa, Agenor De Noni Jr., Aurora López‐Delgado, Isabel Padilla, Maximina Romero   +4 more
wiley   +1 more source

Influence of Pore Water on Energy Dissipation of Concrete and Its Quantitative Calculation Method

Advances in Civil Engineering, Volume 2026, Issue 1, 2026.
Pore water is widely recognized as a critical factor that exerts a substantial impact on the mechanical strength of concrete materials. The present study centers on investigating the energy dissipation behavior of concrete under various conditions.
Xiaohong Chen, Pei Ge, Chengyi Ai, Wei Li, Yijun Wang, Junwen Zhou, Arnab Biswas   +6 more
wiley   +1 more source

Dynamic weighing method for coal and gangue in coal-gangue sorting robots

Gong-kuang zidonghua
Image recognition-based coal-gangue sorting robots have become a research hotspot in the field of coal-gangue separation. To address the issue of low recognition accuracy caused by complex real-world conditions—such as dust adhesion, lighting variation ...
CAO Xiangang, LIU Yizhe, WU Xudong, WANG Peng, ZHANG Ye   +4 more
doaj   +1 more source

Vibration Response Analysis of Hydraulic Support Based on Real Shape Coal Gangue Particles

, 2022
Top coal caving is an important way of thick coal seam mining. The current coal gangue identification technology is not mature, resulting in a low degree of automation of coal caving.
Jiantao Wang, Zhaoji Li, Qingliang Zeng, Dejian Ma, Yanpeng Zhu, Lirong Wan   +5 more
core   +1 more source

Research on multi-manipulator coal and gangue sorting robot system based on machine visio

Gong-kuang zidonghua, 2019
Existing coal and gangue sorting methods mainly use image processing and pattern recognition technology to identify and sort coal and gangue according to texture characteristic values of coal and rock.
WANG Peng, CAO Xiangang, XIA Jing, WU Xudong, MA Hongwei   +4 more
doaj   +1 more source

Coal and Gangue Recognition Method Based on Local Texture Classification Network for Robot Picking

, 2021
Coal gangue is a kind of industrial waste in the coal mine preparation process. Compared to conventional manual or machine-based separation technology, vision-based methods and robotic grasping are superior in cost and maintenance.
Lutao Yan, Xiaowei Chi, Haiyuan Li, Yuting Xie, Bin Zhang, Qinjian Zhang, Fuwen Wang   +6 more
core   +1 more source

Recognition method of transient falling images of coal and gangue separation in underground solid backfill mining with multimodal large language models

Meitan kexue jishu
Solid backfill coal mining, as a green mining method that balances resource recovery and ecological protection, relies on coal and gangue separation as a core process for the efficient operation of integrated underground mining, selection, and backfill ...
Yun ZHANG, Yixuan YANG, Xingping LAI, Liang TONG, Shenggen CAO, Yongzi LIU, Long ZHANG, Licheng BAI, Hao YE   +8 more
doaj   +1 more source

Research on Coal Gangue Recognition Based on Multi-source Time-Frequency Domain Feature Fusion. [PDF]

ACS Omega, 2023
Zhang Y, Yang Y, Zeng Q.
europepmc   +1 more source

Improved deep learning based multi‐index comprehensive evaluation system for the research on accuracy and real‐time performance of coal gangue particles recognition

, 2023
The problems of insufficient recognition accuracy, poor real‐time performance and lack of consideration of actual working conditions in the process of intelligent construction of coal mines make this technology still in the research stage and not applied
Yao Zhang, Qingliang Zeng, Yang Yang
core   +1 more source