Results 1 to 10 of about 1,300 (186)
Research on an Intelligent Mining Complete System of a Fully Mechanized Mining Face in Thin Coal Seam. [PDF]
Sensors (Basel), 2023 The mining environment of thin coal seam working faces is generally harsh, the labor intensity is high, and the production efficiency is low. Previous studies have shown that thin coal seam mining finds it difficult to follow machines, does not have complete sets of equipment, has a low degree of automation, and has difficult system co-control, which ...
Ren B +5 more
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CM-YOLOv8: Lightweight YOLO for Coal Mine Fully Mechanized Mining Face. [PDF]
Sensors (Basel)With the continuous development of deep learning, the application of object detection based on deep neural network in the coal mine has been expanding. Simultaneously, as the production applications demand higher recognition accuracy, most research chooses to enlarge the depth and parameters of the network to improve accuracy.
Fan Y, Mao S, Li M, Wu Z, Kang J.
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Optimization of Process Control Parameters for Fully Mechanized Mining Face Based on ANN and GA. [PDF]
Comput Intell Neurosci, 2021 In the traditional optimization mathod, the process control parameters for fully mechanized mining face are determined by experts or technicians based on their own experience, which is lack of scientific basis, and need long production adjustment cycle. It is cause large loss, and not conducive to improving mine production efficiency. In order to solve
Zhao H, Xu Z, Li Q, Pan T.
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Probe on concept of automatic fully-mechanized coal mining face
Gong-kuang zidonghua, 2014 Technology status of automatic fully-mechanized coal mining face in China was introduced, and fully-mechanized coal mining equipments were classified into production equipment, auxiliary equipment and monitoring and control system.
FU Guoju
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Processing Laser Point Cloud in Fully Mechanized Mining Face Based on DGCNN
ISPRS International Journal of Geo-Information, 2021 Point cloud data can accurately and intuitively reflect the spatial relationship between the coal wall and underground fully mechanized mining equipment. However, the indirect method of point cloud feature extraction based on deep neural networks will lose some of the spatial information of the point cloud, while the direct method will lose some of the
Zhizhong Xing +2 more
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Sudden change mechanism of mine pressure in fully mechanized caving face and its countermeasures
Meikuang Anquan, 2022 In view of the sudden change of mine pressure in 226 upper 02 fully mechanized caving face of Huangyuchuan Coal Mine, the mechanism and countermeasures of sudden change of mine pressure in fully mechanized caving face are studied by using the methods of
LI Yong, WANG Zhuoying
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Research of automation system integration of fully mechanized coal mining face
Gong-kuang zidonghua, 2014 The paper analyzed functions and problems of automation system of fully mechanized coal mining face, and studied automation integration solutions of fully mechanized coal mining face, which had guiding significance for implementation of automation of ...
XIA Huguo, SONG Weijun, YANG Xianguo
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Design and Application of Virtual Reality System in Fully Mechanized Mining Face
Procedia Engineering, 2011 AbstractThis paper introduced function design and development flow of virtual reality system of fully mechanized mining face. In the process of geometric modeling, element partitioning, instance,atomization and other technologies were used to improve the real-time performance of virtual view. With hydraulic support as the example,based on analysis of 4-
Zhang Xiaoqiang
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Characteristics of overburden failure and evolution of fractures in fully mechanized top coal mining face. [PDF]
Sci RepAbstract The characteristics of overlying strata failure and the evolution law of fractures during coal mining are of great significance for mine water prevention and gas control. To further study the overlying strata failure characteristics and fracture evolution in fully mechanized top-coal caving (FMTC) mining faces, a Shanxi coal ...
Wang X, Liu F.
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Gong-kuang zidonghua, 2023 Currently, research on the collaborative control of shearers and scraper conveyors has preliminarily established a collaborative control mechanism for mining and transportation systems.
PI Guoqiang +3 more
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