煤矿瓦斯监测及多传感器信息融合的研究

Research on gas monitoring in colliery and multi-sensor information fusion

针对单纯的瓦斯含量监控不能全面反应矿井下的安全状况这一问题,首先对采集的数据信息进行模糊预处理,以得到更全面的矿井下状况信息,然后经过处理转化为满足D-S归一化条件的基本概率分配,最后改进D-S合成算法融合瓦斯监测传感器采集的高度冲突信息,得出矿井下安全状况的预判结果。通过分析可知,该方法简便有效,提高了瓦斯监测技术水平,从而保障矿井下的安全作业。

Mere gas content failed to fully reflect the security situation of the colliery. In view of the issue, fuzzy preprocessing of the acquired data was conducted first, so as to obtain more comprehensive information about the colliery. And then, the processed data was converted into the basic probability assignment that satisfied D-S normalization condition. Finally, the D-S synthesis algorithm was improved and combined with highly conflicting information acquired by the sensor, thus the security situation of the colliery was estimated. Analysis results showed the proposed method was simple and effective, and contributive to enhancement of gas monitoring level, so as to guarantee the safe operation of the colliery.