基于Hopfield神经网络的矿井通风系统分析

矿井通风系统的工作性能对煤矿安全影响较大,保证通风系统效率十分必要。介绍通风机的基本参数和参数计算公式,利用Hopfield神经网络对通风系统进行研究分析,设置PID调节参数,并利用Matlab对优化后的通风系统进行仿真分析,结果显示基于神经网络控制的通风机在风压、风量、风门开闭等方面控制效果良好。

Analysis of Mine Ventilation System Based on Hopfield Neural Network

The performance of the mine ventilation system has a great impact on mine safety, and it is necessary to ensure the efficiency of the ventilation system. Describes the basic parameters and ventilator parameters calculation. Use the Hopfield neural network to conduct research and analysis on the ventilation system. Set the PID tuning parameters and use Matlab for optimized ventilation system's simulation analysis. The result shows that the fan based on neural network control has a good effect in the air pressure, air flow, and other aspects.