Results 31 to 40 of about 843,741 (156)

Feature extraction and classification method of coal gangue acoustic signal during top coal caving

矿业科学学报, 2021
To achieve the intelligent recognition of coal gangue in fully mechanized caving face, a coal caving acoustic signal collection device is designed, which can sense the movement of the tail beam and automatically trigger data collection.Field data is ...
Yuan Yuan, Wang Jiawen, Zhu Desheng, Wang Jiachen, Wang Tonghai, Yang Kehu   +5 more
doaj   +1 more source

Determination on Reasonable Mining Height and Top Coal Caving Technology in Huating Coal Mine

, 2020
In view of the problems, such as coal wall spalling, roof caving and low recovery rate of top coal in 250107-1 fully mechanized caving face of Huating Coal Mine at present, the method of combining FLAC3D numerical analysis and theoretical calculation was
QIAO Zhongdong, QU Ying, YANG Guohong, LIU Biao
core   +1 more source

Technique of top coal caving with vibration [PDF]

, 2009
How to understand the top coal caving process and increase the top coal recovery ratio is one of the urgent problems to be resolved for the longwall top coal caving technology.
Xie, Yao-she, Zhao, Yang-sheng
core   +1 more source

Study on the Structural System of Roof in Fully Mechanized Top Coal Caving

, 2011
Based on the structural characters of roof in fully mechanized top coal caving, mechanical analysis, mechanical calculation and simulation experiment were used to explore the particularity of roof structure in fully mechanized top coal caving.
Jie Shen, Wei LK, Da Meng, Shen J, Li Ke Wei, Meng D(孟达)   +5 more
core   +3 more sources

Research on the intelligent coordinated top-coal caving model and key technologies in extra-thick coal seams

河南理工大学学报. 自然科学版
ObjectivesFully mechanized top-coal caving is a safe and efficient mining method for extra-thick coal seams. However， the complexity of the caving environment， the challenges in coordinating mining and caving， and the numerous factors influencing caving ...
LI Dongyin, WANG Zuguang, WANG Shen, LI Huamin, PENG Weiping, LI Hongbin, ZHANG Guopeng, ZHANG Xuhe   +7 more
doaj   +1 more source

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

Current status and prospects of surrounding rock control and intelligent coal drawing technology in fully mechanized caving face

Gong-kuang zidonghua
This paper analyzes the current status and existing issues in the control technology of surrounding rock and intelligent top coal caving technology for thick and ultra-thick coal seams in fully mechanized caving faces.
PANG Yihui, GUAN Shufang, JIANG Zhigang, BAI Yun, LI Peng   +4 more
doaj   +1 more source

Research progress on intelligent coal caving theory and technology

Gong-kuang zidonghua
The longwall top-coal caving technology is an effective method for extracting thick and ultra-thick coal seams, and it has become a hallmark technology in China's coal mining industry.
WANG Jiachen, YANG Shengli, LI Lianghui, ZHANG Jinwang, WEI Weijie   +4 more
doaj   +1 more source

Top coal thickness detection method for intelligent fully-mechanized working face

Gong-kuang zidonghua, 2021
Detecting the thickness of the top coal in a fully mechanized working face in advance can provide a basis for precise control of the top coal caving, which is beneficial to achieving a balance between the coal caving recovery rate and coal quality.
YANG Xiuyu1, LIU Shuai2,3, LIU Qing2,3, YANG Qingxiang1   +3 more
doaj   +1 more source

An optimizing microseismic method for rock burst early warning based on mining production process

Deep Underground Science and Engineering, EarlyView.
A classification early warning method of rock burst based on hourly microseismic data is proposed, which can be combined with the on‐site production process to provide more timely warning. Abstract Microseismic (MS) events have been reported in nearly every coal mining country, which could well lead to rock burst in underground coal mines.
Zepeng Han, Linming Dou, Wu Cai, Mingbo Chi, Guojun Xi, Shuai Chen, Biao Jiao   +6 more
wiley   +1 more source