煤矿井下钻杆加卸机械手动态路径规划方法研究进展

    Research progress on dynamic path planning method of drill pipe loading and unloading manipulator in underground coal mines

    • 摘要: 煤矿井下作业环境复杂多变,钻探成为煤矿开采的必备环节。钻杆加卸是钻探过程中的重要步骤,传统的人工钻杆加卸方式不仅耗时费力,而且劳动强度极大,对工人的身体健康构成严重威胁。为了提高煤矿井下钻机的钻杆加卸效率,降低劳动强度,提升作业安全性,探讨并总结当前煤矿井下智能化钻机配套钻杆自动加卸技术,发现多轴液驱机械手式换杆技术具有高度的灵活性和适应性,可作为解决多规格钻具自动加卸问题的有效方案。基于当前机械手关键技术的研究,分析得出动态路径规划方法是多轴机械手式钻杆加卸系统研究的难点,在总结当前机械手动态轨迹规划领域研究进展的基础上,分析现有路径规划方法的优缺点,特别是在动态环境下的适应性表现。在此基础上,研究了基于快速随机搜索树(Rapidly-exploring Random Tree,RRT)算法的混合轨迹规划策略在复杂环境下的应用,展示了这些方法在提升机械手路径规划精度、减少操作时间以及增强系统鲁棒性方面展现出的显著优势。针对未来研究方向,提出了进一步提升机械手动态轨迹规划算法性能,增强机械手自主作业能力,推动煤矿井下自动化技术全面应用的建议。

       

      Abstract: As the operating environment of underground coal mine is complicated and changeable, drilling exploration has become an essential part of coal mining. Drill pipe loading and unloading is an important step in the drilling process, and the traditional manual drill pipe loading and unloading method is not only time-consuming, but also extremely labor-intensive, which poses a serious threat to the health of workers. In order to improve the efficiency of drill pipe loading and unloading of underground coal mine drilling rigs, reduce the labor intensity, and enhance the safety of operation, we discuss and summarize the current automatic loading and unloading technology of drill pipe supporting the intelligent drilling rigs in underground coal mines, and find that the multiaxial liquid-driven manipulator-type rod changing technology can be used as an effective program to solve the automatic loading and unloading problem of multi-specification drilling tools due to its high degree of flexibility and adaptability. Based on the key technologies of current manipulator research, it is analyzed that the dynamic path planning method is the difficulty in the research of multi-axis manipulator-type drill pipe loading and unloading system. On the basis of summarizing the current research progress in the field of dynamic trajectory planning for manipulators, it analyzes the strengths and weaknesses of the existing path planning methods, especially the adaptive performance in dynamic environment. On this basis, the application of hybrid trajectory planning strategies based on the Rapidly-exploring Random Tree (RRT) algorithm in complex environments is investigated. It is demonstrated that these methods show significant advantages in improving the accuracy of manipulator path planning, reducing the operation time, and enhancing the robustness of the system. Flor the future research direction, suggestions are made to further improve the performance of the dynamic trajectory planning algorithm of the manipulator, to enhance the autonomous operation capability of the manipulator, and to promote the comprehensive application of the automation technology in underground coal mines.

       

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