Results 21 to 30 of about 609 (196)

Automatic separation method of coal and gangue based on wavelet transform

Gong-kuang zidonghua, 2018
In view of the problems of low recognition accuracy, multiple extraction parameters and low real-time processing efficiency of existing coal gangue recognition and separation methods based on image processing, an automatic separation method of coal ...
CHEN Li, DU Wenhua, ZENG Zhiqiang, WANG Junyuan, WANG Riju   +4 more
doaj   +2 more sources

The Impact Behavior between Coal Gangue Particles and the Tail Beam Based on Rock Failure

Shock and Vibration, 2021
In top coal caving mining, common impact occurs between coal gangue particles and tail beam. Little attention has been paid to the effects of coal gangue particles failure on impact force and tail beam response theoretically, numerically, and ...
Zhengyuan Xin, Qingliang Zeng, Yang Yang
doaj   +2 more sources

A study on the influence of particle size on the identification accuracy of coal and gangue

Gospodarka Surowcami Mineralnymi - Mineral Resources Management, 2023
In order to explore the impact of coal and gangue particle size changes on recognition accuracy and to improve the single particle size of coal and gangue identification accuracy of sorting equipment, this study established a database of different particle sizes of coal and gangue through image gray and texture feature extraction, using a relief ...
Xin Li, Shuang Wang, Lei He, Qisheng Luo
openaire   +2 more sources

Research on light weight intelligent identification method of coal and gangue

Physicochemical Problems of Mineral Processing
Accurate identification of coal and gangue is essential for clean and efficient use of coal. Existing target detection algorithms are ineffective in detecting small-target and overlapping gangue, and contain complex network structure and large parameter volume, which cannot meet the demand of real-time detection of edge devices.
Deyong Li, Guofa Wang, Yongcun Guo, Yuhao Yang, Shuang Wang, Wenshan Wang   +5 more
openaire   +2 more sources

The identification of coal and gangue and the prediction of the degree of coal metamorphism based on the EDXRD principle and the PSO-SVM model

Gospodarka Surowcami Mineralnymi - Mineral Resources Management, 2022
In order to improve the utilization rate of coal resources, it is necessary to classify coal and gangue, but the classification of coal is particularly important. Nevertheless, the current coal and gangue sorting technology mainly focus on the identification of coal and gangue, and no in-depth research has been carried out on the identification of coal
Yanqiu Zhao, Shuang Wang, Yongcun Guo, Gang Cheng, Lei He, Wenshan Wang   +5 more
openaire   +2 more sources

Research on Gangue Detection Algorithm Based on Cross-Scale Feature Fusion and Dynamic Pruning

Algorithms
The intelligent identification of coal gangue on industrial conveyor belts is a crucial technology for the precise sorting of coal gangue. To address the issues in coal gangue detection algorithms, such as high false negative rates, complex network ...
Haojie Wang, Pingqing Fan, Xipei Ma, Yansong Wang   +3 more
doaj   +2 more sources

Monitoring Burning Coal Gangue Dump Based on the 3-D Thermal Infrared Model

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Coal gangue is the byproduct of coal mining and preparation. Due to its susceptibility to spontaneous combustion, it causes significant environmental hazards when piled up in open dumps. The fire not only harms the environment but also poses health risks
Zhenlu Shao, Tong Yang, Rong Deng, Hongwen Shao   +3 more
doaj   +2 more sources

Theory and key technologies for intelligent fully-mechanized top-coal caving faces of annual production of millions of tons [PDF]

Meitan kexue jishu
The research focused on addressing various challenges in intelligent top caving theory, intelligent perception and recognition key technology, intelligent caving comprehensive decision-making technology, and remote caving intelligent control technology ...
Bin YU, Yang TAI, Gang XU, Yong LI, Dongyin LI, Shibo WANG, Tiejun KUANG, Ercun MENG   +7 more
doaj   +2 more sources

RRBM-YOLO: Research on Efficient and Lightweight Convolutional Neural Networks for Underground Coal Gangue Identification. [PDF]

Sensors (Basel)
Coal gangue identification is the primary step in coal flow initial screening, which mainly faces problems such as low identification efficiency, complex algorithms, and high hardware requirements.
Wang Y, Kou Z, Han C, Qin Y.
europepmc   +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