进口矿产品冻层采样机器人技术研究

Research on Frozen-Layer Sampling Robot Technology of Imported Mineral Products

本研究中的冻层采样机器人采用全新伸缩机械手结构设计,使用研制的高合金新材料,利用点云类聚算法、激光雷达探测、机器视觉、计算机信息和人工智能等技术,适应冬季严寒大风环境,具有破开一定厚度的冻结体能力,实现对进境货运列车装载不同颗粒度煤炭等矿产品机械化、自动化和智能化采样。实验数据表明,此项技术适用于定点定量采样、冻层采样和大块煤炭等矿产品采样,为大宗物料监管、检验提供有力支撑。该研究对解决满洲里铁路口岸进口矿产品采样难、采样慢的痛点,提高采样效率,降低人工作业安全风险,压缩口岸整体通关时间,便利企业通关和优化口岸营商环境,为口岸监管和新装备应用提供决策参考,进一步推进智慧海关建设。

In this study,a novel retractable mechanical arm design is employed for the robotic sampling of frozen layers.Utilizing newly developed high-alloy materials,the robot incorporates technologies such as point cloud clustering algorithms,LiDAR detection,machine vision,computer information,and artificial intelligence.This system is designed to withstand harsh winter conditions,including severe cold and strong winds.It possesses the capability to break through a certain thickness of frozen material and achieve the mechanical,automated,and intelligent sampling of various granularities of coal and other mineral products loaded on incoming freight trains.Experimental data indicates that this technology is suitable for precise and quantitative sampling,frozen layer sampling,and sampling of large coal blocks and other mineral products.It provides robust support for the supervision and inspection of bulk materials.This research addresses the challenges of sampling imported mineral products at the Manzhouli railway port,improving sampling efficiency,reducing manual labor safety risks,compressing overall port clearance time,facilitating enterprise clearance,optimizing port business environments,and providing decision-making references for port supervision and the application of new equipment,to further advance the development of smart customs.