绿色智能矿山建设的关键技术体系研究

Research on Key Technology System of Green Intelligent Mine Construction

  • 摘要: 针对传统矿山能耗偏高、监测滞后及安全事件响应不足等问题,构建绿色智能矿山关键技术体系。依托多源感知、边缘计算与5G通信技术,形成“感知-控制-监管”三层协同结构,设计高精度传感网络、自适应控制算法及安全环境一体化监管系统;通过多协议融合与分布式数据流处理,实现生产参数实时采集与动态优化。以柳林县寨崖底煤矿改造前运行水平为对比基准,应用验证显示:单位能耗由1.20 kW·h/t降至0.97 kW·h/t(降低19.6%),碳排放强度由3.5 kg CO2/t降至2.73 kg CO2/t(下降22%);安全事件响应时长由6.0 min缩短至1.8 min(缩短约70%)。该体系面向高瓦斯矿井特殊工况设计,可实现绿色化与智能化建设深度融合,为煤炭行业智能矿山系统化推广提供技术支撑。

     

    Abstract: Aiming at the problems of relatively high energy consumption, lagging monitoring, insufficient response to safety incidents and others in traditional mines, a key technology system for green intelligent mine is constructed. Relying on multi-source perception, edge computing and 5G communication technology, a three-layer collaborative structure of "perception-control-supervision" is formed, and a high-precision sensor network, adaptive control algorithm and safety environment integrated supervision system are designed; Through multi-protocol fusion and distributed data stream processing, real time acquisition and dynamic optimization of production parameters are achieved. Taking the operational level before the transformation of Zhaiyadi Coal Mine in Liulin County as the comparison benchmark, the application verification indicates that the unit energy consumption is decreased from 1.20 kW·h/t to 0.97 kW·h/t (with a decrease of 19.6%), and the carbon emission intensity is decreased from 3.5 kgCO2/t to 2.73 kgCO2/t (with a decrease of 22%); The response time for safety incidents is shortened from 6.0 minutes to 1.8 minutes (with a reduction of approximately 70%). This system is designed for special working conditions in high gas mines, and can achieve deep integration of green and intelligent construction, which provides a technical support for the systematic promotion of intelligent mines in the coal industry.

     

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