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煤矿远程智能掘进面临的挑战与研究进展
引用本文:张旭辉,杨文娟,薛旭升,张超,万继成,毛清华,雷孟宇,杜昱阳,马宏伟,赵友军,李晓鹏,胡成军,田胜利.煤矿远程智能掘进面临的挑战与研究进展[J].煤炭学报,2022(1):579-597.
作者姓名:张旭辉  杨文娟  薛旭升  张超  万继成  毛清华  雷孟宇  杜昱阳  马宏伟  赵友军  李晓鹏  胡成军  田胜利
作者单位:西安科技大学机械工程学院;西安煤矿机械有限公司;陕西敏思特科技股份有限公司;中煤(天津)地下工程智能研究院有限公司;山东天河科技股份有限公司
基金项目:国家自然科学基金资助项目(51974228,52104166);陕煤联合基金资助项目(2021JLM-03)。
摘    要:煤矿巷道掘进智能化相关理论与技术研究是当前解决"采掘失衡"难题的基石.远程智能掘进是实现少人甚至无人化掘进作业的根本目标和远景,面临单一掘进装备定位与控制、设备群协同、人-机-环感知与呈现,以及远程智能决策等瓶颈问题.聚焦巷道近程或地面远程智能掘进场景控制需求,提出了数字孪生驱动掘进装备远程智能控制技术构架,通过构建掘...

关 键 词:远程智能掘进  掘进数字孪生  "视觉+"位姿测量  掘进记忆截割  虚拟碰撞

Challenges and developing of the intelligent remote controlonroadheaders in coal mine
ZHANG Xuhui,YANG Wenjuan,XUE Xusheng,ZHANG Chao,WAN Jicheng,MAO Qinghua,LEI Mengyu,DU Yuyang,MA Hongwei,ZHAO Youjun,LI Xiaopeng,HU Chengjun,TIAN Shengli.Challenges and developing of the intelligent remote controlonroadheaders in coal mine[J].Journal of China Coal Society,2022(1):579-597.
Authors:ZHANG Xuhui  YANG Wenjuan  XUE Xusheng  ZHANG Chao  WAN Jicheng  MAO Qinghua  LEI Mengyu  DU Yuyang  MA Hongwei  ZHAO Youjun  LI Xiaopeng  HU Chengjun  TIAN Shengli
Affiliation:(College of Mechanical Engineering,Xi’an University of Science and Technology,Xi’an 710054,China;Xi’an coal mining machinery Co.,Ltd.,Xi’an 710032,China;Shaanxi MINST Technology Co.,Ltd.,Xi’an 710054,China;China Coal(Tianjin) Underground Engineering Intelligent Research Institute Co.,Ltd.,Tianjin 300120,China;Shandong Tianhe Technology Co.,Ltd.,Jining 273500,China)
Abstract:The theoretical and technical study on intelligent roadway development is very important to solve its low efficiency problems in coal mines.The remote intelligent controlling is the fundamental goal and strategic vision of using less people or unmanned operation,facing the bottleneck technical problems such as single driving-gear positioning and control,equipment group coordination,man-machine-surrounding perception and rendering,and remote intelligence decision.Aimed at the requirements on the remote intelligent controlling,this paper proposes a technical framework for remote intelligent control based on DT(Digital Twins).The DT models of intelligent remote driving is built,and the underground personnel,equipment and environmental information are presented in the digital space,realizing the fusion and the mutual intelligent driving of virtual and reality,achieving the intelligent collaborative control of digital driving and the physical driving.So the safety problems in roadway excavation are solved.Aiming at the requirements of the parallel operation of the mining and transport,the remote control framework of automatic drilling anchor and efficient transport is proposed,and the research progress of remote virtual rendering,accurate position perception,DT data sharing,false synchronous drive,process memory cutting and equipment group collision alert are introduced.The paper introduces four technologies such as"DT+VR"remote control decision,"visual+"position estimation,"artificial teaching"memory cutting,and"virtual equipment"collision warning,to overcome the problems in intelligent decision-making,the accurate positioning,the trajectory planning and the equipment group collision warning in underground coal mines.The basic theories and technologies,such as the refraction imaging mechanism modeling and modification of plane flameproof glass and optical ball cover,imaging blur mechanism under vibration condition,the accurate body pose estimation of roadheader,directional navigation and deviation correction,manual teaching cutting track and memory cutting based on visual measurement,devices cooperative control and digital twin driven remote control,are summarized.Based on the imaging refraction correction and de-blurring of visual perception,this paper systematically overviews the progress of vision technology in positioning,orientation and shape cutting,and also analyzes that digital twin drive technology is an effective way to realize the normal production of intelligent remote roadway development.The core technologies mentioned above have been tested in the laboratory and preliminary verified underground,for instance,at the Xiaobadang Coal Mine and the Dahaize Coal Mine in Shaanxi province,China.The researches provide a new realization path for achieving remote intelligent controlling in coal mines.
Keywords:intelligent remote driving  DT-driven roadheader  visual position estimation  memory cutting of roadheader  virtual collision warning
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