摘要
针对目前煤矿监控水平和现有煤矿监控系统的应用技术,将嵌入式技术应用到煤矿监控系统中,实现矿用通风机的监测。同时,利用神经网络算法建立了矿用通风机监测系统的数学模型,并通过实验的方法验证了使用此方法建立数学模型的正确性,不仅为研究系统的特性做出了铺垫,而且为该方法在复杂系统建模中的应用提供了依据。
According to the present level of coal mine monitoring and the existing application technology of coal mine monitoring system, applying the embed technology in coal mine monitoring system, realizes the mine fan monitoring system. Using neural network builds the modeling of the mine fan monitoring system. And then, validating the method is right though the experiment, which will not only supply the base to research the characteristic of the monitoring system, and also provide the base to build the modeling of the complex systems.
出处
《煤矿机械》
北大核心
2009年第12期60-63,共4页
Coal Mine Machinery
