Research on construction of digital twin-based dynamic early warning system for "Yitong Sanfang" in underground coal mines
基于数字孪生的井工煤矿“一通三防”动态预警系统构建研究

摘要

井工煤矿“一通三防”是保障安全生产的核心环节，传统预警系统存在数据滞后、模拟精度不足等问题。数字孪生技术通过构建物理矿井与虚拟矿井的实时映射，为动态预警提供了新方案。该系统整合通风、瓦斯、火灾、粉尘等多源监测数据，实现井下环境参数的实时仿真与趋势预测。借助虚拟仿真可模拟异常工况下的扩散路径与影响范围，提前触发预警并生成处置方案，既提升了预警响应速度，又增强了风险预判的准确性，为井工煤矿“一通三防”安全管理提供了智能化技术支撑。

Abstract

"Ventilation, fire prevention, gas control, and dust prevention" (Yitong Sanfang) in underground coal mines is a core link to ensure safe production. Traditional early warning systems have problems such as data lag and insufficient simulation accuracy. Digital twin technology provides a new solution for dynamic early warning by establishing real-time mapping between physical mines and virtual mines. The system integrates multi-source monitoring data such as ventilation, gas, fire, and dust to realize real-time simulation and trend prediction of underground environmental parameters. With the help of virtual simulation, it can simulate the diffusion path and influence range under abnormal working conditions, trigger early warning in advance and generate disposal plans. This not only improves the response speed of early warning but also enhances the accuracy of risk prediction, providing intelligent technical support for the safety management of "Yitong Sanfang" in underground coal mines.