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针对矿井火灾事故中传统反风调控存在决策滞后、参数精度不足的问题，提出一种煤矿通风系统反风效果动态模拟及风流调控参数库构建方法。以陕西省榆林市三道沟煤矿通风系统为例，通过三维建模技术建立巷道拓扑关系数据库，采用改进的遗传-蚁群融合算法进行通风网络解算，实现火灾时期井下风流场分布的高精度动态仿真。通过多场景火灾模拟，建立了反风可行性评价体系，重点分析了烟流扩散路径、关键节点风速变异系数和反风达标时间等参数。基于模拟数据构建层次化反风流调控参数库，采用关联性编码技术实现巷道编号-火灾坐标-调控参数的智能映射。实际应用表明，该参数库使反风操作准备时间减少了68%，风流稳定性标准差由±15.3%降至±5.7%，既提高了矿井对突发事件的应急响应效率，也为矿井智能通风系统在灾变应急中的应用提供了新范式。
Abstract：To address the issues of decision-making delay and insufficient parameter accuracy in traditional anti-wind control during mine fire accidents, a method for dynamic simulation of anti-wind effect in coal mine ventilation systems and construction of an airflow regulation parameter database was proposed. Taking the ventilation system of Sandaogou Coal Mine in Yulin City, Shaanxi Province as an example, a roadway topology database was established through 3D modeling technology. An improved genetic-ant colony hybrid algorithm was used to solve the ventilation network, achieving high-precision dynamic simulation of underground airflow distribution during fire periods. Through multi-scenario fire simulations, an anti-wind feasibility evaluation system was established, focusing on parameters such as smoke diffusion paths, variation coefficients of wind speed at key nodes, and anti-wind compliance time. Based on simulation data, a hierarchical airflow regulation parameter database was constructed, and an intelligent mapping of roadway numbering, fire coordinates, and regulation parameters was realized using associative coding technology. Practical application showed that the p arameter database reduced anti-wind preparation time by 68% and decreased airflow stability standard deviation from ±15.3% to ±5.7%, enhancing the mine's emergency response efficiency to sudden incidents and providing a new paradigm for the application of intelligent ventilation systems in mine disaster emergencies.
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基本信息:
DOI：10.13272/j.issn.1671-251x.2025020052
中图分类号:TD724
引用信息:
[1]王智欣,刘立仁,陈博,等.煤矿通风系统反风效果动态模拟及风流调控参数库构建[J].工矿自动化,2025,51(07):27-35.DOI:10.13272/j.issn.1671-251x.2025020052.
基金信息:
2022年度中央引导地方科技发展资金项目(YDZX2022097)