Research on the Network Modeling and Intelligent Control System of Deep Mine Ventilation
This paper studies the modeling and intelligent control system of the deep mine ventilation network,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,so as to accurately describe the relationship of each node in the system.By using advanced sensing technol-ogy and real-time data acquisition means,this paper establishes an intelligent monitoring system of deep mine venti-lation,so as to realize the high-frequency and real-time monitoring and feedback of key parameters.In terms of in-telligent control,this paper introduces the deep-learning algorithm,and improves the adaptive adjustment ability of the ventilation system through the learning and optimization of a large number of historical data,so as to ensure the efficient operation of the system under complex conditions.The paper 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.
Deep mineVentilation networkModelingIntelligent control systemComplex networkDeep-learning algorithmReal-time monitoring
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