scholarly journals Research on Hydraulic Support Selection of Unmanned Fully-mechanized Coal Mining Face

2016 ◽  
Author(s):  
Yongsheng Yang ◽  
Xuewen Li ◽  
Lizhi Zhang
Keyword(s):  
Coal Mining ◽  
Hydraulic Support ◽  
Mining Face ◽  
Selection Of

scholarly journals An operation optimization method of a fully mechanized coal mining face based on semi-physical virtual simulation

2019 ◽  
Vol 7 (1) ◽  
pp. 147-163 ◽  
Author(s):  
Hengbo Shi ◽  
Jiacheng Xie ◽  
Xuewen Wang ◽  
Juanli Li ◽  
Xing Ge
Keyword(s):  
Mathematical Model ◽  
Coal Mining ◽  
Production Efficiency ◽  
Optimization Method ◽  
Hydraulic Support ◽  
Tracking Model ◽  
Low Efficiency ◽  
Mining Face ◽  
The Mathematical Model

AbstractA mathematical hydraulic support self-tracking model for three-machine cooperative mining is proposed to address low efficiency and difficulties in strategy evaluation of a fully mechanized coal face. The proposed model uses the coordinates and traction speed of the shearer to calculate the frequency of the circular hydraulic support and realize the coordinated operation of the three-machine mining technology. A unity3d hardware-in-the-loop simulation experimental hearer and hydraulic support platform was used to validate the model of autonomous follow-up. The results indicate that collaborative control of coal mining allowed for an efficiency 3.76% higher than under automatic operation mode and 46.03% higher than under manual control; thus, The mathematical model provided an improved production efficiency of the fully mechanized mining face. The mathematical model also provides a more intelligent and reliable security support, and improves the intelligent level of hydraulic support follow-up control.

Research on Adaptive Advance System of Hydraulic Support Based on Neural Network PID

2012 ◽  
Vol 457-458 ◽  
pp. 758-763
Author(s):  
Guang Xin Zhou ◽  
Wei Li ◽  
Li Ping Zhang
Keyword(s):  
Neural Network ◽  
Coal Mining ◽  
Waiting Time ◽  
Pid Controller ◽  
Hydraulic Support ◽  
Advance Method ◽  
Simulation Results ◽  
Mining Face ◽  
Neural Network Pid

Aiming at the problem that contact advance lags seriously and automatic advance with shearer is not in time in ASQ of hydraulic support on fully mechanized coal mining face, this paper proposed a solution of adaptive advance system based on Neural Network PID. This advance method can effectively reduce invalid waiting time in advance and the probability that friction between top beam and roof increases, and thus to improve advancing velocity and achieve continuity of coal mining automation. This paper finally used SIMULINK to carry out simulation. Results show that Neural Network PID controller has better performance than conventional PID controller.

The Research on Characteristics of Hydraulic Support Advancing Control System in Coal Mining Face

2018 ◽  
Vol 102 (4) ◽  
pp. 2667-2680 ◽  
Author(s):  
Lian-min Cao ◽  
Shi-jiao Sun ◽  
Ya-zhu Zhang ◽  
Hui Guo ◽  
Zhen Zhang
Keyword(s):  
Control System ◽  
Coal Mining ◽  
Hydraulic Support ◽  
Mining Face

The Adaptation Analysis of the Fully Mechanized Coal Mining Face of Huopu Mine’s Third Soft Coal Seam

2014 ◽  
Vol 1049-1050 ◽  
pp. 335-338 ◽  
Author(s):  
Fa Quan Liu ◽  
Xue Wen Geng ◽  
Yong Che ◽  
Xiang Cui
Keyword(s):  
Coal Seam ◽  
Coal Mining ◽  
Geological Condition ◽  
Soft Coal ◽  
Working Face ◽  
Mining Face ◽  
Soft Coal Seam ◽  
Working Resistance

To get the maximum coal in front of the working face of the 17# coal seam, we installed a longer beam which is 1.2m in length in the leading end of the original working face supports ZF3000/17/28, and know that working face supports’ setting load and working resistance are lower .We changed the original supports with shield supports ZY3800/15/33 that are adaptable in the geological condition and got the favorable affection.

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