王进美

摘要：本文围绕“煤矿深井通风网络建模与智能控制系统研究”展开，旨在提高煤矿深井通风系统的效率和安全性。通过深入分析深井通风网络，构建了基于复杂网络理论的数学模型，准确描述了系统内各节点的关联关系。利用先进的传感技术和实时数据采集手段，建立了深井通风系统的智能监测系统，实现了对关键参数的高频实时监测与反馈。在智能控制方面，引入深度学习算法，通过大量历史数据的学习和优化，提高了通风系统的自适应调节能力，确保系统在复杂工况下的高效运行。实地试验验证了所提出系统的可行性和有效性，为煤矿深井通风系统的智能化升级提供有力支持，对提高煤矿生产安全水平具有重要意义。

关键词：煤矿深井   通风网络   建模   智能控制系统   复杂网络   深度学习算法   实时监测

中图分类号：TD635

Research on the Network Modeling and Intelligent Control System of Deep Mine Ventilation

WANG Jinmei

Chaili Coal Mine，Zaozhuang Mining （Group）Co.， Ltd.， Zaozhuang， Shangdong Province， 277519 China

Abstract： This paper focuses on "research on the network modeling and intelligent control system of deep mine ventilation"， aiming to improve the efficiency and safety of the deep mine ventilation system. Through the in-depth analysis of the deep mine ventilation network， this paper constructs a mathematical model based on the complex network theory， and accurately describes the relationship of each node in the system. By using advanced sensing technology and real-time data acquisition means， this paper establishes an intelligent monitoring system of the deep mine ventilation system， and realizes the high-frequency and real-time monitoring and feedback of key parameters. In terms of intelligent control， this paper introduces the deep-learning algorithm， improves the adaptive adjustment ability of the ventilation system through the learning and optimization of a large number of historical data， and ensures the efficient operation of the system under complex conditions. The field test verifies the feasibility and effectiveness of the proposed system， which provides strong support for the intelligent upgrading of the deep mine ventilation system， and has great significance for improving the safety level of coal mine production.

Key Words： Deep mine; Ventilation network; Modeling; Intelligent control system; Complex network; Deep-learning algorithm; Real-time monitoring

煤礦深井通风系统在保障矿工安全、提高生产效益方面发挥着至关重要的作用。然而，由于煤矿深井环境的复杂性和危险性，传统的通风系统已经难以满足对矿井通风管理的精细化和智能化要求[1]。本研究目的在于构建一套全面、高效、智能的深井通风网络建模与控制系统，以提高通风系统的响应速度、精准度和稳定性。主要方法包括对深井通风系统的结构进行深入分析，利用先进的数学建模技术建立系统模型，并引入人工智能算法实现对通风系统的智能控制。为煤矿深井通风管理提供了一种全新的技术路径，不仅能够提高通风系统的运行效率和能效，还能有效降低事故风险，进一步保障矿工的生命安全。……