基于传感器网络的瓦斯传感器故障诊断

Fault Diagnosis of Gas Sensor Based on Wireless Sensor Network

根据矿井巷道的地理特征,构建了一种用于辅助瓦斯监测的链状无线传感器网络,在分析煤矿瓦斯传感器的故障模式的基础上,提出了基于链状无线传感器网络的瓦斯传感器故障诊断技术,给出了基于该诊断技术的具体算法。在此基础上,利用Monte-Carlo模拟,研究了不同参数(瓦斯分布方差、阈值和采样频率)对算法性能的影响。仿真结果表明,在适当的阈值选择条件下,故障诊断系统的性能与瓦斯分布的方差成反比,与采样频率成正比。

A chain-type wireless sensor network(CWSN)for accessorial gas monitoring was established based on the geography features of a coal mine laneway.Fault modes of the coal mine gas sensors were analyzed.A gas sensor diagnosis method using CWSN and its algorithm was presented.The effects of different parameters(the gas distribution variance,thresholds and sampling frequency)on the performance of the algorithm were studied by using the Monte-Carlo simulation.The results show that,under appropriate threshold conditions,the performance of the fault diagnosis system is directly proportional to the sampling frequency and inversely proportional to the gas distribution variance.