数字孪生应用于金属矿山通风系统的现状及发展趋势
Current status and development trends of digital twin application in ventilation systems of metal mines
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摘要:
随着矿山开采不断向深部化、智能化方向推进,如何解决传统通风系统存在的网络结构 复杂、调控滞后及动态适应性差等问题是目前研究的热点方向之一。数字孪生凭借其虚拟仿真推 演、实时数据交互等优势,为金属矿山通风系统的智能化升级提供新的技术路径。系统分析了金 属矿山当前通风系统的运行现状与痛点,以及其与数字孪生技术的高度适配性;从矿山不同作业 地点通风需求、设备智能控制、关键技术融合3个角度,结合工程实践,梳理了数字孪生在金属矿山 通风系统中的应用现状;从一体化平台建设、AI驱动决策、多维度可视化、绿色节能协同4个方向 展望了数字孪生技术在矿山通风领域的未来发展趋势。研究成果可为金属矿山通风系统的数字 化、智能化转型升级提供理论参考与实践指导。
Abstract:With the continuous advancement of mining operations toward deeper and more intelligent directions, addressing issues such as complex network structures, lagging regulation, and poor dynamic adaptability in traditional ventilation systems has become one ofthe key research focuses.Digitaltwin,leveraging its advantages in virtualsimulation and real‐time data interaction, offers a new technological pathway for the intelligent upgrading of ventilation systems in metal mines. The current operational status and pain points of ventilation systems in metal mines were systematically analyzed,as well as their high compatibility with digital twin technology.From three perspectives,ventilation requirements at different mining sites, intelligent control of equipment, and integration of key technologies, combined with practical engineering operations, the application status of digital twins in ventilation systems of metal mines was reviewed. Future development trends of digital twin technology in mine ventilation were prospected in four directions: integrated platform construction, AI‐driven decision‐making, multi‐dimensional visualization, and green energy‐saving synergy. The research findingscan provide theoreticalreference and practicalguidance forthe digitaland intelligenttransformation and upgrading of ventilation systems in metal mines.
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