• Chinese Core Periodicals
  • Chinese Core Journals of Science and Technology
  • RCCSE Chinese Authoritative Academic Journals
WANG Hongyuan. Intelligent Control Method of Ground Coalbed Methane Extraction Based on Neural Network[J]. Safety in Coal Mines, 2016, 47(4): 114-116.
Citation: WANG Hongyuan. Intelligent Control Method of Ground Coalbed Methane Extraction Based on Neural Network[J]. Safety in Coal Mines, 2016, 47(4): 114-116.

Intelligent Control Method of Ground Coalbed Methane Extraction Based on Neural Network

More Information
  • Published Date: April 19, 2016
  • According to the basic requirements of coalbed methane drainage control system, coalbed methane intelligent extraction control method based on neural network is proposed. This method uses neural network fault diagnosis classification principle; based on the gas concentration data collected from drainage pipe by gas concentration sensor, a programmable logic controller (PLC) is used to adjust the valve opening of extraction pipeline under different concentrations and CBM flow to achieve safe production. To achieve the intelligent control of ground gas drainage pumping station on coal bed methane extraction and to solve the deficiencies of gas extraction manual control and semi-automatic control, this method can achieve intelligent control requirements of multi-line extraction.
  • [1]
    降文萍.地面煤层气抽采效果评价指标初探[J].资源与产业,2010(10):61-67.
    [2]
    翟成,林柏泉,王力.我国煤矿井下煤层气抽采利用现状及问题[J].天然气工业,2008(7):23-26.
    [3]
    刘庆海.采空区瓦斯分布规律及瓦斯抽采措施[J].山东煤炭科技,2010,42(1):209 -211.
    [4]
    翟青妮,刘春富,祝钊,等.采空区煤层气抽采控制装置[J].煤矿安全,2011(12):48-50.
    [5]
    张东旭.煤层气智能抽采监控指标体系的建立[J].煤矿安全,2014(3):95-97.
    [6]
    郭联金,罗炳军.PNN与BP神经网络在钢板表面缺陷分类中的应用研究[J].机电工程,2015(3):352.
    [7]
    付家才,王洪远.基于小波神经网络的采煤机摇臂故障诊断的研究[J].煤矿机械,2013(10):243-245.
    [8]
    李士勇.模糊控制神经控制和智能控制论[M]. 哈尔滨:哈尔滨工业大学出版社,1998.
  • Related Articles

    [1]DING Cui. Numerical research on the influence of ventilation velocity on fire smoke distribution in bifurcated roadway[J]. Safety in Coal Mines, 2025, 56(1): 93-99. DOI: 10.13347/j.cnki.mkaq.20231845
    [2]ZHANG Junliang, ZHU Yunfei, ZHANG Xueliang. Numerical simulation study of the influence of fire source location on parameters of external fire in tunnel[J]. Safety in Coal Mines, 2023, 54(9): 73-79. DOI: 10.13347/j.cnki.mkaq.2023.09.011
    [3]ZHU Lingqi, LIU Kexin, ZHOU Yiting. Design of fire smoke drainage system in transportation roadway[J]. Safety in Coal Mines, 2021, 52(10): 125-129.
    [4]XUE Yanping. Numerical Simulation of Effect of Tunnel Diverging Angles on Fire Smoke Flow[J]. Safety in Coal Mines, 2020, 51(6): 179-183.
    [5]SHEN Yunge, WANG Deming. Numerical Simulation of Smoke Disaster Caused by Mine Roadway Fire Based on FDS[J]. Safety in Coal Mines, 2020, 51(2): 183-187.
    [6]SANG Cong. Calculation and Analysis of Wind Tunnel Resistance Based on Numerical Simulation of Flow Field[J]. Safety in Coal Mines, 2018, 49(12): 194-199.
    [7]ZHAO Yunlong, WANG Fei, LIU Hongwei, LI Pu. FDS Simulation and Analysis of Mine Electromechanical Chamber Fire[J]. Safety in Coal Mines, 2018, 49(12): 181-184.
    [8]LIU Maoxi, DING Qingwen, LIU Yujun, SHI Guoqing. Numerical Analysis on Smoke Distribution Distance Affected by Roadway Air Velocity[J]. Safety in Coal Mines, 2016, 47(5): 185-188.
    [9]JI Jingwei, WANG Zenghui, FAN Yujie. Experiment and Numerical Simulation Study on a Structure System of Smoke Control for Refuge Chamber in Mines[J]. Safety in Coal Mines, 2015, 46(11): 66-69.
    [10]ZHANG Yutao, CHEN Xiaokun, ZHANG Xichen, LI Yaqing, Jerry Tien. Multidimensional Mixed Simulation Study on Smoke Propagation Features of Mine Fire[J]. Safety in Coal Mines, 2015, 46(8): 15-18.

Catalog

    Article views (344) PDF downloads (0) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return