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双极式煤矿灾害信息探测机器人系统研究

Research on Robot System for Information Detection of Bipolar Coal Mine Disaster
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摘要 根据煤矿井下的实际特点,设计和研制了一种沿煤矿工字钢轨道运行的双极式煤矿灾害信息探测机器人系统。该机器人系统采用无线控制方式能够在发生煤矿灾害时,第一时间运行到离灾害发生最近的地点,对灾害现场的图像和环境信息进行检测,并将得到的信息实时传递到地面指挥所,为救援提供必要的信息。该套系统经过实际测试,初步达到了设计要求。 Based on the coal mine actual characteristics, a robot system of coal mine disaster information exploration is designed in this paper. This robot walks along the I-beam track of the coal mine and uses the wireless control. When the disaster happens, the robot runs as quickly as possible to the nearest place of disaster, it can get the image and the information of the disaster environmental. And the information obtained is transmitted to the ground command center in real time. The system reaches a preliminary design requirement through the actual test.
作者 王泰华 张乐意 秦玉鑫 WANG Tai-hua;ZHANG Le-yi;QIN Yu-xin(School of Electrical Engineer and Automation,Henan Polytechnic University,Jiaozuo 454000;School of Intelligent Engineering,Zhengzhou University of Aeronautics,Zhenghzou 450000)
出处 《控制工程》 CSCD 北大核心 2019年第6期1081-1084,共4页 Control Engineering of China
基金 河南省科技攻关项目(182102210111)
关键词 双极 煤矿灾害 机器人 信息探测 Bipolar coal mine disaster robot information detection
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  • 1张国辉.基于三维激光扫描仪的地形变化监测[J].仪器仪表学报,2006,27(z1):96-97. 被引量:54
  • 2TSAKIRI M, VALANI A. Terrestrial Laser Scanning for Deformation Analysis [ EB/OL]. [ 2010-10-09 ]. http : // www. ntua. qr/eseve/Vasikh, Ereyna/Thalis projects English summaries/Tasakiri, pdf. 被引量:1
  • 3ABELLAN A, VILAPLANA J M, MARTINEZ J. Appli- cation of a Long-range Terrestrial Laser Scanner to a Detailed Rockfall Study at Vall de Nuria[ J]. Engineering Geology, 2006(88) : 136-148. 被引量:1
  • 4WASSER F. Deformation Analysis via Terrestrial Laser Scanning[D ]. Zurich : Swiss Federal Institute of Technology Geodetic Engineering Laboratory,2007. 被引量:1
  • 5Faress K N, EL Hagry M T, EL Kosy A A. Trajectory tracking control for a wheeled mobile robot using fuzzy logic controller[J]. WSEAS Transactions on Systems, 2005, 4(7): 1017-1021. 被引量:1
  • 6Wang X, Hou Z, Zou A, et al. A behavior controller based on spiking neural networks for mobile robots[J]. Neurocomputing, 2008, 71(4/5/6): 655-666. 被引量:1
  • 7Er M J, Tan T P, Loh S Y. Control of a mobile robot using generalized dynamic fuzzy neural networks[J]. Microprocessors and Microsystems, 2004, 28(9): 491-498. 被引量:1
  • 8Busoniu L, Babuska R, de Schutter B. A comprehensive survey of multiagent reinforcement learning[J]. IEEE Transactions on Systems, Man and Cybernetics, 2008, 38 (2): 156-172. 被引量:1
  • 9Carrersa M, Yub J K, Batlle J, et al. Application of SONQL for real-time learning of robot behaviors[J]. Robotics and Autonomous System, 2007, 55 (8): 628-642. 被引量:1
  • 10Tan A H, Lu N, Xiao D. Integrating temporal difference methods and self-organizing neural networks for reinforcement learning with delayed evaluative feedback[J]. IEEE Transactions on Neural Networks, 2008, 19(2): 230-244. 被引量:1

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