矿山用无人驾驶智能汽车关键技术、功能及挑战分析  

Analysis on Key Technologies,Functions and Challenges of Unmanned Intelligent Vehicles in Mines

作　　者：姜昆 Jiang Kun(Xinjiang Zhundong Energy Co.,Ltd.of China Energy Investment Corporation Co.,Ltd.,Changji Prefecture 831700,Xinjiang Uygur Autonomous Region,China)

机构地区：[1]国能新疆准东能源有限责任公司,新疆昌吉州831700

出　　处：《包钢科技》2025年第2期59-67,共9页Science & Technology of Baotou Steel

摘　　要：随着人工智能、自动驾驶技术和矿山开采智能化的快速发展,矿山用无人驾驶智能汽车逐渐成为提升矿山作业效率、降低事故发生率和节约成本的重要工具。文章对矿山用无人驾驶智能汽车的关键技术、功能和面临的挑战进行了系统分析。首先,探讨了无人驾驶技术在矿山环境中的应用背景,分析了其在矿山作业中所需要的感知、决策、控制与通信等关键技术。其次,提出了无人驾驶智能汽车在矿山作业中的核心功能,包括自动巡航和路径规划、协同作业及安全性与异常处理功能等。最后,分析了在矿山复杂地理环境、恶劣天气和高负载工作条件下,无人驾驶智能汽车面临的技术挑战并给出了解决方案,展望未来无人驾驶智能汽车的发展趋势。文章旨在为矿山用无人驾驶智能汽车的研究与应用提供理论支持与技术参考。With the rapid development of artificial intelligence,automatic driving technology and intelligence of mining,unmanned intelligent vehicles in mines have gradually become the important tool for improving operation efficiency in mines,reducing accident incidence and saving costs.In this paper,the key technologies,functions and challenges faced of unmanned intelligent vehicles in mines are systematically analyzed.First,the application background of driverless technology in mine environment is discussed as well as such key technologies as perception,decision making,control and communication it needs in mining operations are analyzed.Second,the core functions of unmanned intelligent vehicles in mines including auto drive and path planning,collaborative operations,safety and exception handling are proposed.Finally,the technical challenges faced by unmanned intelligent vehicles under the working conditions of complex geographical environment,severe weather and high load are analyzed as well as the solutions are proposed and development trend of unmanned intelligent vehicles in the future is prospected.This paper is aimed to provide the theoretical supports and technical references for research and applications of unmanned intelligent vehicles in mines.

关 键 词：无人驾驶 环境感知 计算平台 协同作业 路径规划 

分 类 号：TH16[机械工程—机械制造及自动化]