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现代矿业 ›› 2026, Vol. 42 ›› Issue (04): 1-7.

• 综合述评 •    下一篇

矿井智能通风调控技术研究进展与展望

黄锦坤 钟裔禄 黄光傲   

  1. 南京宝地梅山产城发展有限公司矿业分公司
  • 出版日期:2026-04-25 发布日期:2026-05-06

Advances and Prospects in Intelligent Mine Ventilation Control Technology

  1. Mining Branch of Nanjing Baodi Meishan Industrial City Development Co.,Ltd.
  • Online:2026-04-25 Published:2026-05-06

摘要: 随着开采深度增加,矿井通风系统复杂性和通风阻力显著增大,传统通风控制方法 存在计算精度低及应急控制滞后等问题,对通风控制进行智能优化是实现安全生产和高效运行的 重要途径之一。系统梳理了矿井通风智能化进程,重点分析了通风网络解算方法与风流调控技术 的研究进展及现存瓶颈。结果表明,当前智能通风仍面临传感信息覆盖不全、决策算法效率不足、 多物理场耦合机理不明确、系统集成难度大、灾变应急能力评价体系缺失等关键挑战。在此基础 上,从技术、系统、标准与应用4 个层面,提出未来矿井智能通风应聚焦于新型传感器研发、多物理 场耦合建模、数字孪生平台构建、行业标准统一化,以及深部复杂环境系统应急响应评估方法等重 点方向。研究结果可为促进矿井通风安全化、高效化及智能化的进一步发展提供参考。

关键词: 智能通风, 动态解算, 风流调控, 数字孪生, 多物理场耦合

Abstract: As the mining depth increases,the complexity of the mine ventilation system and the ven ⁃ tilation resistance significantly increase.Traditional ventilation risk control methods have problems such as low calculation accuracy and delayed emergency control.Intelligent optimization of ventilation risk control is one of the important ways to achieve safe and efficient operation in production.The research systematical⁃ ly reviewed the intelligent process of mine ventilation and focused on analyzing the research progress and existing bottlenecks of ventilation network calculation methods and air flow regulation technologies.The re⁃ sults showed that current intelligent ventilation still faces key challenges such as incomplete coverage of sensor information,insufficient efficiency of decision algorithms,unclear coupling mechanism of multiple physical fields,high difficulty in system integration,and the absence of a disaster emergency capability evaluation system.Based on this,from the four aspects of technology,system,standards and application, it was proposed that future mine intelligent ventilation should focus on the development of new sensors, multi-physical field coupling modeling,digital twin platform construction,standard unification in the in⁃ dustry,and emergency response assessment methods for deep complex environment systems.The research results can provide a reference for promoting the further development of mine ventilation safety,efficiency and intelligence.

Key words: intelligent ventilation, dynamic simulation, airflow control, digital twin, multi-physics coupling