| 注册
首页|期刊导航|工矿自动化|矿井智能通风研究进展及展望

矿井智能通风研究进展及展望

刘湘滢

工矿自动化2025,Vol.51Issue(4):44-56,13.
工矿自动化2025,Vol.51Issue(4):44-56,13.DOI:10.13272/j.issn.1671-251x.18241

矿井智能通风研究进展及展望

Research progress and prospects of intelligent mine ventilation

刘湘滢1

作者信息

  • 1. 昆士大学,澳大利亚布里斯班4000
  • 折叠

摘要

Abstract

The research progress has been analyzed from four aspects:ventilation parameter monitoring technology,real-time calculation methods for ventilation networks,emergency regulation technology for ventilation disasters,and the architecture of intelligent mine ventilation systems,focusing on ventilation parameter detection devices,optimization of measurement schemes,real-time monitoring and calculation of networks,anomaly diagnosis methods,and emergency regulation technologies.Currently,intelligent ventilation systems face three major challenges.First,existing ventilation parameter detection devices are insufficient in stability and accuracy,making it difficult for the system to achieve response within seconds and precise regulation.Second,the high uncertainty of the mine environment and the low level of automation in human-machine collaborative decision-making limit the adaptive optimization capabilities of the ventilation network.Third,real-time identification technologies of fire and gas compound disasters have not yet been broken through,restricting the effectiveness of emergency ventilation regulation in disaster conditions.To address these challenges,the future research directions should focus on:① Developing new sensor devices with strong anti-interference capabilities to construct a spatiotemporal dynamic monitoring network that integrates"fixed-point monitoring+mobile inspection",enabling precise multi-parameter ventilation perception.② Establishing an ultra-real-time simulation model for the ventilation network based on digital twin technology,and combining reinforcement learning and game theory methods to optimize the coordination between local decision-making and global strategy,thereby driving intelligent decision-making systems toward a cloud-edge-device collaborative mode.③ Building a digital twin-driven disaster evolution simulation platform,integrating dynamic evacuation path planning and rapid deployment of robot clusters,thereby forming a three-tier emergency response system of"disaster warning-regional isolation-intelligent rescue".

关键词

矿井通风/智能通风/通风参数/风网解算/通风灾害防控

Key words

mine ventilation/intelligent ventilation/ventilation parameters/ventilation network calculation/ventilation disaster prevention and control

分类

矿业与冶金

引用本文复制引用

刘湘滢..矿井智能通风研究进展及展望[J].工矿自动化,2025,51(4):44-56,13.

工矿自动化

OA北大核心

1671-251X

访问量0
|
下载量0
段落导航相关论文