煤矿井下管路安装机器人智能管路抓举控制技术研究

Research on Intelligent Pipeline Lifting Control Technology for Coal Mine Un-derground Pipeline Installation Robot

  • 摘要: 摘 要:考虑到现有管路安装机器人无法实现掘进面的常用管路抓举和安装,本文研究一种针对于掘进工作面的管路安装机器人,并对智能管路抓举控制技术开展深入研究。以煤矿掘进工作面工况为研究背景,进行管路安装车总体方案设计,并为了减少人员控制设备反复抓取和托举管路,制定了管路安装机器人控制系统总体方案,并进行管路安装机器人运动学分析,采用DH方法建立其运动学模型,并对运动学进行求解,分析机械臂的工作空间,为验证本文设计的安装机器人运动学特性和所建立的运动学模型准确性。在地面开展煤矿掘进面管路安装机器人试验研究,试验结果表明,本文研究设计的管路安装机器人能够实现φ108~φ500mm管路的抓取,可实现井下代替人工完成管路的抓、举功能,降低工人劳动强度。本文研究设计的管路安装机器人能够黄、绿、灰、蓝四种管路的颜色识别和定位,从而可实现管路的自动抓取,减少工人安装管路的劳动强度。本文研究成果可为煤矿井下掘进工作面管路安装机器人研发和推广应用提供支撑。

     

    Abstract: Abstract: Considering that existing pipeline installation robots cannot achieve common pipeline lifting and installation on excavation faces, this paper studies a pipeline installation robot for excavation workfaces and conducts in-depth research on intelligent pipeline lifting control technology. Taking the working conditions of coal mine excavation face as the project background, the overall scheme design of pipeline installation vehicle was carried out. In order to reduce the repeated grasping and lifting of pipelines by personnel control equip-ment, the overall scheme of pipeline installation robot control system was formulated, and the kinematics anal-ysis of pipeline installation robot was carried out. The DH method was used to establish its kinematic model, and the kinematics was solved to analyze the working space of the robotic arm. To verify the kinematic charac-teristics of the installation robot designed in this paper and the accuracy of the established kinematic model. Experimental research was conducted on the installation robot of coal mine excavation face pipelines on the ground. The test results showed that the pipeline installation robot designed in this paper can grasp pipelines with a diameter of 108~500mm, and can replace manual labor to complete pipeline grasping and lifting func-tions underground, reducing the labor intensity of workers. The pipeline installation robot designed in this ar-ticle can recognize and locate the colors of yellow, green, gray, and blue pipelines, thereby achieving automatic grasping of pipelines and reducing the labor intensity of workers installing pipelines. The research results of this article can provide support for the development and promotion of pipeline installation robots for under-ground coal mine excavation working faces.

     

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