矿山救援智能化发展路径与人工智能技术应用探讨  

Exploration of Intelligentization Development Path and Artificial Intelligent Technology Application of Mine Rescue

作　　者：吴肖 Wu Xiao(Militarized Ambulance Brigade of Huaibei Mining Industry Co.,Ltd.,Huaibei 235000,China)

机构地区：[1]淮北矿业股份有限公司军事化救护大队,安徽淮北235000

出　　处：《山东煤炭科技》2025年第4期51-55,共5页Shandong Coal Science and Technology

摘　　要：针对矿山救援中设备智能化水平低、信息传递滞后、人员应急能力不足等问题,基于人工智能(AI)、大数据分析和物联网(IoT)技术,提出矿山救援智能化发展路径与人工智能技术应用方案,利用智能设备改造和救援机器人技术,提升实时数据采集和传输的效率;基于大数据分析建立灾害预测模型,提高灾害预警能力;应用AI决策支持系统,优化救援指挥和调度流程;结合虚拟现实(VR/AR)技术,增强救援人员的训练效果。研究结果表明,这些措施显著提升了矿山救援的效率和应急响应速度,减少了人员伤亡,为矿山救援智能化提供了强有力的技术支撑和发展路径。In response to the problems such as low level of equipment intelligence,lagging information transmission,insufficient personnel emergency capabilities and others in mine rescue.Based on artificial intelligence(AI),big data analysis,and the Internet of Things(IoT)technology,this paper proposes an intelligentization development path for mine rescue and an application scheme for artificial intelligent technology.By utilizing intelligent equipment transformation and rescue robot technology,the efficiency of real-time data collection and transmission is improved;Establishing disaster prediction models based on big data analysis to improve disaster early warning capabilities;Applying AI decision-making support system to optimize rescue command and scheduling processes;Combining virtual reality(VR/AR)technology to enhance the training effect of rescue personnel.The research results indicate that these measures significantly improve the efficiency and emergency response speed of mine rescue,reduce personnel casualties,and provide strong technical support and development path for the intelligentization of mine rescue.

关 键 词：矿山救援 智能化 人工智能 决策支持系统 自动化救援 灾害预警 

分 类 号：TD77[矿业工程—矿井通风与安全]