Results 91 to 100 of about 609 (196)

Study on emissivity measurement of different types of coal and gangue using the matching method

Gong-kuang zidonghua
The type, surface texture, metamorphic degree, and developmental stage of coal and gangue significantly influence their emissivity. Accurate settings for emissivity parameters are essential for infrared temperature measurements and the identification of ...
ZHANG Jinwang, HE Geng, HAN Xing, ZHANG Jiaming   +3 more
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Research on Coal and Gangue Recognition Based on the Improved YOLOv7-Tiny Target Detection Algorithm

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 ...
Zhipeng Sun, Yiping Sui, Weixun Yi, Lei Zhang, Meng Wang   +4 more
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Key technologies and demonstration of unmanned steeply inclined short-wall fully mechanized top-coal caving intelligent mining [PDF]

Since the 14th Five-Year Plan, my China’s coal mine digital intelligence technology has developed rapidly, especially in thin coal seam mining. However, the unmanned intelligent mining technology of steeply inclined short-wall fully mechanized caving is ...
Xin TIAN, Wu XIONG, Qing LIU, Kunlun LIU, Yupeng YAO, Yanyi SUN, Xinping BAO, Ruibing YAN, Haodang LI, Junfei WU, Bin GU   +10 more
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A key technology for synergistic backfilling of coal-based solid waste and high-salinity wastewater [PDF]

Background and Objective Limited by locations, as well as economic and technical levels, most of the coal-based solid waste is still accumulated in the form of open-air landfills without treatment, thus occupying large quantities of land resources and ...
Shujiang YU, Xiaodong WANG, Xingling DONG, Lei LIU, Shuning DONG, Boqiang WU, Xiaoming GUO, Buqin ZHANG, Kai WANG, Shibin ZHU   +9 more
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Numerical and test study on dynamic characteristics of the tail beam of top coal caving hydraulic supports

Jixie qiangdu
In order to determine the sensitive vibration characteristic parameters of coal and gangue in the process of top coal caving and improve the intelligent identification accuracy of coal and gangue, the dynamic characteristics of the tail beam of the ...
WU Mingke, YANG Shanguo, WANG Yao, MENG Bin, YANG Zheng, LIU Houguang   +5 more
doaj  

High-precision coal gangue recognition method in multi-stage coal transportation with complex backgrounds underground

Meitan kexue jishu
Intelligent coal gangue sorting is one of the key technologies for advancing intelligent and green coal mining. Accurate identification of coal gangue is a prerequisite for intelligent sorting, and overcoming the challenges posed by complex underground ...
Hengxuan LUAN, Le AN, Ying TIAN, Jieying GU, Qiang ZHANG, Hongwei CHEN, Xiang FU, Chengjun HU, Zhifang CUI, Rui CHEN   +9 more
doaj   +1 more source

Creep Characteristics and Fractional-Order Constitutive Modeling of Gangue–Rock Composites: Experimental Validation and Parameter Identification

With the increasing depth of coal resource extraction, the creep characteristics of gangue backfill in deep backfill mining are crucial for the long-term deformation of rock strata. Existing research predominantly focuses on the instantaneous deformation
Yimei Wei, Bo Wu, Peng Huang, Guohui Ren, Shuxuan Ma, Erkan Topal, Qihe Lan   +6 more
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Application of an Automated Top Coal Caving Control System: The Case of Wangjialing Coal Mine

China has made notable advancements in the intelligent construction of coal mines. However, for longwall top coal caving (LTCC) mining faces, a key obstacle impeding the intelligent transition of the coal-cutting process is automated control.
Defu Zhu, Dangwei Zhao, Zhonglun Wang, Yuming Huo   +3 more
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A research study of lightweight state perception algorithm based on improved YOLOv5s‐Tiny for fully mechanized top‐coal caving mining

Real‐time monitoring of the coal caving process in fully mechanized mining is crucial for achieving intelligent and efficient top‐coal caving. While the coal gangue identification method, employing vision and deep learning, has advanced in the realm of ...
PengFei Shan, Tong Yang, XiaoChen Wu, HaoQiang Sun   +3 more
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Research on Coal Gangue Image Recognition Method Based on EMAM-YOLO. [PDF]

ACS Omega
Jia Y, Li B, Du Y, Zheng W, Li Y, Wu S.
europepmc   +1 more source