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液压机械臂在煤炭工业领域应用进展及关键技术

Advances and critical technologies of hydraulic robotic arms in coal industry applications

  • 摘要: 煤矿智能化是煤炭工业高质量发展的必经之路,煤矿机器人研发应用推动煤矿智能化迈向高水平,液压机械臂作为煤炭机器人的重要组成部分,具备大面积推广应用的潜力和广阔的工业应用场景。研究提出了完整的液压机械臂技术体系框架,详细阐释了液压机械臂的软硬件系统组成,阐述了当前煤矿智能化建设过程中基于液压机械臂的不同场景和系统下的应用情况,综述了液压机械臂在巷道掘锚、喷浆、抓管、救援等场景下的需求及难点;科学阐明了液压机械臂研发的共性关键技术支撑,具体分析了液压机械臂结构设计、高精度液压伺服技术、运动学与动力学建模及解算、路径规划、可靠性保障及人机协作等关键技术研究进展;指出煤矿领域液压机械臂在感知手段受限、精准控制困难、可靠性要求难以满足等方面仍存在挑战;提出了未来液压机械臂研究的发展方向:构建多模态传感体系,针对井下高粉尘、潮湿等复杂环境,结合数字孪生和边缘计算技术,提升机械臂的环境适应性和控制精度;机械臂与运载平台的协同控制实现“移动+操作”的动态优化,扩展作业范围;通过标准化接口实现功能快速切换,提高对不同工况的适应性的同时降低了维护。未来,随着人工智能技术的深入应用,煤矿液压机械臂将向更智能、更安全的方向持续发展,为井下作业提供更高效的装备支撑。

     

    Abstract: Coal mine intellectualization constitutes an inevitable pathway for high-quality development in the coal industry. The research and application of mining robots are driving coal mine intellectualization to advanced levels, with hydraulic robotic arms - as critical components of mining robotics - demonstrating significant potential for widespread implementation and broad industrial application scenarios. This study establishes a comprehensive technological framework for hydraulic robotic arm systems, detailing their hardware configurations and software architectures. It systematically elaborates their diversified applications across various scenarios in intelligent coal mine construction, including comprehensive practical deployments in roadway excavation-anchoring, shotcrete, pipe-handling, and rescue. The paper scientifically elucidates common core technologies underpinning hydraulic robotic arm development, providing in-depth analysis of critical research advancements in structural optimization, high-precision hydraulic servo-control systems, as well as kinematic and dynamic modeling algorithms. Current challenges are specifically identified, including restricted environmental perception capabilities, difficulties in precision control implementation, and reliability compliance issues under harsh operating conditions. Future research directions are proposed: Developing multimodal sensing systems integrating digital twin and edge computing technologies to enhance environmental adaptability and control accuracy in high-dust and humid underground environments; Implementing coordinated control between robotic arms and mobile platforms to achieve dynamic optimization of “mobility + manipulation”, thereby expanding operational ranges; Adopting standardized interfaces to enable rapid functional switching, improving operational adaptability while reducing maintenance requirements. With deepening integration of artificial intelligence technologies, coal mine hydraulic robotic arms are predicted to evolve towards enhanced intelligence and operational safety, ultimately providing more efficient equipment support for underground operations.

     

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