Research on the Memory Cutting Model of Shearer

2012 ◽  
Vol 510 ◽  
pp. 170-175 ◽  
Author(s):  
Zhi Peng Xu ◽  
Zhong Bin Wang
Keyword(s):  
Fuzzy Control ◽  
Control Theory ◽  
Coal Mining ◽  
Coal Industry ◽  
Geological Condition ◽  
Working Face ◽  
Memory Cutting ◽  
Cutting Model ◽  
Cutting Path ◽  
Self Adaptive

Automatic" and "less people" in fully mechanized working face is the target of China's coal industry development, and the key to achieve this goal is the automation of coal mining. According to the previous technology of memory cutting cannot adapt to the complicated geological condition in China, this paper proposed the technology of shearer self-adaptive memory cutting based on fuzzy control theory, the shearer positioning system and fuzzy control system of self-adaptive cutting. These systems can get the message of shearer's position and attitude at any point, trace the memorial cutting path automatically, judge whether the shearer cuts rocks based on fuzzy control theory and find the optimal scheme when it works. The authors make the experiments of path tracing in laboratory and the experiment of shelf-adaptive adjust in Xi'an Coal Mining Machinery. All the experimental results show that this technology not only can realize the shearer memory cutting, but also can discriminate the abnormal state of shearer cutting rocks, then adjust the drawing speed and drum height automatically.

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.

scholarly journals Research on Physical Similarity Simulation of Mining Uphill and Downhill at the Large-Angle Working Face

2019 ◽  
Vol 2019 ◽  
pp. 1-19 ◽  
Author(s):  
Meng Zhang ◽  
Yidong Zhang ◽  
Ming Ji ◽  
Hongjun Guo ◽  
Haizhu Li
Keyword(s):  
Coal Mining ◽  
Large Angle ◽  
Elevation Angle ◽  
Coal Industry ◽  
Physical Similarity ◽  
Working Face ◽  
Geological Conditions ◽  
Mining Face ◽  
Mining Pressure ◽  
Dip Angle

With the development of coal mining and the continuous expansion of mining intensity, large dip angle comprehensive mechanized coal mining as an important development direction and goal has become a worldwide research topic in the coal industry. The working face faces many production problems that need to be solved, such as the large-angle downhill mining, the large-angle uphill mining, and other complicated geological conditions (such as skew, anticline, and fault). In view of the above problems, with the specific conditions of Xinji No. 2 Mine, through the physical similarity simulation, the research on the roof movement law of the fully mechanized mining face under the mining conditions of large dip angle (depression angle and elevation angle are more than 40° and 20°, respectively) is studied. The distribution law of abutment pressure, movement law, and distribution range of water-conducting fracture zone after mining are emphasized. Meanwhile, the paper analyzes and compares the related mining pressure law of inclined longwall fully mechanized mining face under general conditions, forming a systematic, comprehensive, and scientific understanding of the law of mining pressure under such conditions. This achievement is of great significance to the prevention and control of water, support design, safety production, environmental improvement, improvement of enterprise efficiency, and advancement of coal science and technology.

scholarly journals Dynamic Update Method of Working Face Geological Model Driven by Multi-Source Data

2021 ◽  
Author(s):  
Zaibin Liu ◽  
Mingxing Li ◽  
Lin An ◽  
Kai Shen ◽  
Hui Yue ◽  
...  
Keyword(s):  
Path Planning ◽  
Coal Mining ◽  
High Precision ◽  
Geological Model ◽  
Geological Data ◽  
Dynamic Update ◽  
Working Face ◽  
Source Data ◽  
Data Volume ◽  
Cutting Path

Abstract In order to build a high-precision dynamic geological model to serve the intelligent mining, working face is explored step by step through the comprehensive prospecting technology. A multi-source data fusion method was applied to realize mutual verification, supplement, fusion and interpretation of non-uniform heterogeneous geological data to obtain a high-precision geological data volume. Also, the dynamic update model method was proposed to update 3D geological model of working face quickly so that the accuracy of the geological model can be improved effectively. Furthermore, cutting path planning technology was developed based on the dynamic geological model. The field test showed that the cutting path planning based on the high-precision dynamic geological model can improve the coal mining efficiency and improve the fusion efficiency between geology and coal mining systems. Dynamic update of multi-attribute geological information should be studied and developed to improve the automatic level of mining driven by geological data.

Research on Ground Subsidence Law Using FEM for Comprehensive Mechanized Caving Coal Mining under Railway

2012 ◽  
Vol 178-181 ◽  
pp. 1479-1483
Author(s):  
Yang Wang ◽  
Qing Yuan Li
Keyword(s):  
Coal Mining ◽  
Horizontal Displacement ◽  
Coal Industry ◽  
Deformation Monitoring ◽  
In Situ Monitoring ◽  
Ground Subsidence ◽  
Nonlinear Fem ◽  
Term Operation ◽  
Fem Method ◽  
Working Face

With the project of mining 701 Working Face of Baojianshan Coalmine of Jingyuan Coal Industry Group undermine special railway as a background, the authors predict ground subsidence law caused by routine comprehensive mechanized caving coal mining method and back filling method with elastic-plastic nonlinear FEM method. By different exploitation methods, development law of horizontal displacement, vertical displacement, shift angle of strata during mining is given. According to predication by FEM method, the maximum vertical settlement of subsidence area near railway subgrade is 7cm, which is caused by mining 701 Working Face. The in-situ monitoring results were essentially identical with the FEM predication value, this indicates that FEM predication is reliable. The rehabilitation technical measure of railway bed and deformation monitoring scheme of railway during long-term operation are advised.

ENVIRONMENTAL IMPACT OF COAL MINING

2020 ◽  
Author(s):  
Наталья Алексеевна Бойко ◽  
Наталья Владимировна Ромашева
Keyword(s):  
Environmental Impact ◽  
Organizational Structure ◽  
Coal Mining ◽  
Negative Impact ◽  
Coal Industry ◽  
Coal Production ◽  
Atmospheric Air

Представлена характеристика угольной отрасли России по таким направлениям как организационная структура, объем и регионы добычи, потребители угля. Выявлены положительные тенденции, определены проблемы в развитии угольной промышленности. Исследованы негативное воздействие угольного производство на такие компоненты окружающей среды, как атмосферный воздух, водные ресурсы, земная поверхность. The characteristic of the Russian coal industry in such areas as the organizational structure, volume and regions of production, coal consumers has been presented. Positive trends and problems in the development of the coal industry have been identified. The negative impact of coal production on environmental components such as atmospheric air, water, the earth’s surface has been investigated.

Fuzzy control based on genetic algorithm in intelligent psychology teaching system

2021 ◽  
pp. 1-9
Author(s):  
Xiaojia Pang ◽  
Yuwen Ning
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Control ◽  
Control Theory ◽  
Classroom Teaching ◽  
Improved Genetic Algorithm ◽  
Group Function ◽  
Teaching Process ◽  
Teaching Management ◽  
Teaching System ◽  
Volume Group

The advancement of science has made computer technology and the education industry more and more closely related, and the development of intelligent teaching systems has also opened a new path for classroom teaching. This paper studies the application of fuzzy control based on genetic algorithms in the intelligent psychology teaching system. Facing the complicated variables in the teaching process, the improved genetic algorithm can better realize dynamic teaching decisions through fuzzy control. This article aims to improve the quality of psychology classroom teaching, and develops an intelligent psychology teaching system based on the fuzzy control theory of genetic algorithm. Combined with the current development of fuzzy control theory, the problems existing in the intelligent teaching system are studied and analyzed, and they have been optimized and improved. This paper proposes a control algorithm based on a teaching management system. The algorithm can implement fuzzy control on student models, knowledge organization structure, intelligent test papers and teaching decision-making. While restoring the real teaching process, it can better realize teaching students in accordance with their aptitude and improve teaching. The intelligence of the system. According to the system test data, the proportions of the difficulty of the system’s automatic test paper are 30.1%, 51.6%, 18.3%, which are in line with the designer’s set expectation of 3 : 5:2, which shows the improved genetic algorithm. It can realize the intelligent volume group function very well.

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