摘要
本文以金属矿山打造的多套智能化系统作为研究对象,深入探究5G、AI与物联网技术在矿山场景的融合应用路径与实践成效。研究中系统分析矿山风机远程控制系统、矿用工业以太网系统、矿山智能AI视频监测系统、专用设备系统、无轨胶轮车调度系统以及自动排水系统的技术架构、功能实现与实施效果,旨在为金属矿山安全高效、低碳绿色的智能AI建设提供可复制、可推广的实践方案。
This research conducts a systematic analysis of the technical architecture,functional deployment,and operational performance of several key systems in the mining industry,including the remote control systems for mine ventilation fans,industrial Ethernet systems tailored for mining environments,intelligent AI-powered video surveillance systems for mining operations,specialized equipment systems,trackless rubber-tired vehicle dispatching systems,and automated drainage systems.The objective is to offer replicable and scalable practical solutions to facilitate the safe,efficient,low-carbon,and environmentally friendly intelligent AI-driven construction of metal mines.
作者
邱臣
QIU Chen(Erguna Chengcheng Mining Co.,Ltd.,Hulunbuir 022250,China)
出处
《世界有色金属》
2026年第2期41-43,共3页
World Nonferrous Metals
关键词
5G
AI
物联网
金属矿山
智能建设
远程控制
精准定位
安全监测
5G
AI
Internet of Things
Metal mines
Intelligent construction
Remote control
Accurate positioning
safety monitoring
