• 论文
主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
基于虚拟现实的煤矿救援机器人远程控制技术
  • Title

    Study on remote control technology of mine rescue robot based on virtual reality

  • 作者

    张旭辉董润霖马宏伟杜昱阳毛清华王川伟薛旭升马琨

  • Author

    Zhang Xuhui Dong Runlin Ma Hongwei Du Yuyang Mao Qinghua Wang Chuanwei Xue Xusheng Ma Kun

  • 单位

    西安科技大学机械工程学院

  • Organization
    School of Mechanical Engineering, Xi'an University of Science and Technology
  • 摘要

    针对当前煤矿井下救援机器人自主导航效率低下,难以满足矿难时效性的救援要求,提出了一种基于虚拟现实(VR)的煤矿救援机器人远程控制方案,以虚拟仿真技术、智能检测与控制、远程通信、环境动态建模等技术为基础,以煤矿救援机器人的远程控制为目标,建立了煤矿救援机器人虚拟仿真模型以及井下工作环境场景,对传感器数据进行解析动态建模,完成机器人井下的以巷道为基础的局部定位,并实时更新煤矿救援机器人井下作业场景,为机器人自主控制增加了判据。此方案定位于复杂工况下有效的人工远程干预,借助VR技术充分融合人、机和环境信息,可有效提升井下矿难救援效率。

  • Abstract
    According to a low automatic navigation efficiency of the mine rescue robot in the present mines and hard to meet the rescue requirements of the mine disaster timeliness, a r emote control plan of the mine rescue robot was provided based on VR. Based on the virtual simulation technology, intelligent detection and control, remote communication, environment dynamic, modeling and other technology, with the remote control of the mine rescue robot as the target, a virtual simulation model of the mine rescue robot and the working environment scene in the underground mine were established. An analysis of the dynamic modeling was conducted on the data from the sensors. The local positioning of the robot in the underground mine was completed with the mine roadway as the basis. Meanwhile, the operation scene of the mine rescue robot should be timely updated in order to increase the criteria to the automatic control of the mine robot. The plan was to effective manual remote interferences under the complicated performances. With the help of the VR technology, the human, machine ad environment information was integrated and the rescue efficiency of the mine disaster could be effectively improved.
  • 关键词

    救援机器人虚拟现实远程控制智能检测动态建模

  • KeyWords

    rescue robot; virtual reality; remote control; intelligent detection; dynamic modeling;

  • 基金项目(Foundation)
    国家自然科学基金资助项目(50674075);陕西省科技统筹创新工程计划资助项目(2013KTCL01-02);西安市产学研协同创新计划资助项目(CXY1519);
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主办单位:煤炭科学研究总院有限公司 中国煤炭学会学术期刊工作委员会

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