Results 21 to 30 of about 1,612 (205)

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   +2 more sources

Research on coal gangue recognition method based on infrared thermal imaging

Gong-kuang zidonghua
Coal and gangue sorting methods based on heavy-medium coal selection technology, jigging technology, flotation technology, dry coal selection technology and γ-ray detection method have high investment costs, low sorting efficiency and serious ...
CHENG Gang, PAN Zeye, WEI Yifan, CHEN Jie   +3 more
doaj   +2 more sources

Research on Coal and Gangue Recognition Based on the Improved YOLOv7-Tiny Target Detection Algorithm [PDF]

Sensors
The recognition technology of coal and gangue is one of the key technologies of intelligent mine construction. Aiming at the problems of the low accuracy of coal and gangue recognition models and the difficult recognition of small-target coal and gangue ...
Yiping Sui, Lei Zhang, Zhipeng Sun, Weixun Yi, Meng Wang   +4 more
doaj   +2 more sources

Study on recognition of coal and gangue based on multimode feature and image fusion

PLoS ONE, 2023
Aiming at the problems of low accuracy of coal gangue recognition and difficult recognition of mixed gangue rate, a coal rock recognition method based on modal fusion of RGB and infrared is proposed. A fully mechanized coal gangue transportation test bed
Lijuan Zhao, Liguo Han, Haining Zhang, Zifeng Liu, Feng Gao, Shijie Yang, Yadong Wang   +6 more
doaj   +2 more sources

Performance Analysis of Coal Gangue Recognition Based on Hierarchical Filtering and Coupled Wrapper Feature Selection Method

IEEE Access, 2023
Coal gangue recognition of top coal caving is one of the important links in the process of intelligent coal mine construction. However, the recognition accuracy of this technology in practical application is still challenging, because the recognition ...
He Li, Yao Zhang, Yang Yang, Qingliang Zeng   +3 more
doaj   +1 more source

Research progress and key technologies of intelligent coal-gangue sorting robot

Gong-kuang zidonghua, 2022
The gangue is wrapped by slurry in underground coal mine, which causes difficult coal-gangue recognition and sorting. The underground working space is narrow, so the equipment layout is difficult, and the diversion of coal-gangue is difficult. Therefore,
ZHANG Ye, MA Hongwei, WANG Peng, CAO Xiangang, WEI Xiaorong, ZHOU Wenjian   +5 more
doaj   +1 more source

YOLOv4-Tiny-Based Coal Gangue Image Recognition and FPGA Implementation

Micromachines, 2022
Nowadays, most of the deep learning coal gangue identification methods need to be performed on high-performance CPU or GPU hardware devices, which are inconvenient to use in complex underground coal mine environments due to their high power consumption, huge size, and significant heat generation.
Shanyong Xu, Yujie Zhou, Yourui Huang, Tao Han   +3 more
openaire   +3 more sources

Image feature extraction and recognition model construction of coal and gangue based on image processing technology

Scientific Reports, 2022
Using image recognition technology to realize coal gangue recognition is one of the development directions of intelligent fully mechanized caving mining.
Lei Zhang, YiPing Sui, HaoSheng Wang, ShangKai Hao, NingBo Zhang   +4 more
doaj   +1 more source

Experimental platform for coal gangue sorting robot based on image detection

Gong-kuang zidonghua, 2023
Currently, coal gangue pre-sorting is still mostly done manually, with high labor intensity, low sorting efficiency, and safety hazards. Using coal gangue sorting robots to replace manual coal gangue pre-sorting is an effective way to ensure the health ...
LI Sanxi, LI Ya'nan, WANG Zijie, HOU Peng, XUE Guanghui   +4 more
doaj   +1 more source

Recognition Methods for Coal and Coal Gangue Based on Deep Learning [PDF]

IEEE Access, 2021
Recognizing coal and coal gangue is an important part of the coal industry and is mainly conducted via human sorting at present. Consequently, considerable manpower is needed, which adds a burden to enterprises and results in low efficiency. As an important branch of artificial intelligence, deep learning has been widely applied in many fields ...
Qiang Liu, Jingao Li, Yusheng Li, Mingwang Gao   +3 more
openaire   +2 more sources