基于模糊神经网络的瓦斯监测系统设计

Design of the Gas Monitoring System Based on Fuzzy Neural Network

介绍了智能算法以及在瓦斯监测系统中的应用,包括运用模糊神经网络对瓦斯泄漏信号进行处理,降低瓦斯监测系统的误报率,采用 ARM 处理器作为硬件平台和传感器来实现一个瓦斯监测系统。把神经网络和模糊控制结合起来,将信号模糊化后送入神经网络处理。系统功能的实现为矿井安全提供了重要保障,有广阔的应用前景。

This paper introduces the intelligent algorithm and its application to the gas monitoring system, which includes using the fuzzy neural network to process the gas leakage signals and reducing the rate of false alarm of the system. The gas monitoring system is implemented by the ARM processor as the hardware platform and some sensors. The techniques of neural network and fuzzy control are combined, and the fuzzy signals are processed in the neutral network. The realization of this system function provides an important protection for coal mine sajoty, so it possesses the broad application prospects.