基于多传感器二级信息融合模型的煤矿安全监测系统研究

Research of Coal Mine Safety Monitoring System Based on Multi-sensor Secondary Information Fusion Model

传统煤矿安全监测系统采用单一传感器采集数据,存在监测精度差、可靠性低等问题,提出一种基于多传感器二级信息融合的数据分析处理模型。首先采用多种传感器对需要监测的数据信号进行采集;其次对采集的数据进行二级融合处理,其中第一级融合采用自适应加权方法来求取同类传感器数据的平均值,第二级融合采用D-S证据理论对不同传感器的融合结果进行再次融合处理;然后根据融合的结果判断煤矿井下的安全性。最后通过实验测试对所提方法进行了验证。

The traditional coal mine safety monitoring system uses a single sensor to collect data, whichhas poor monitoring accuracy and low reliability. A data analysis and processing model based on multi-sensor secondary information fusion is proposed. Firstly, a variety of sensors are used to collect the datasignals which need to be monitored; secondly, the secondary fusion of the collected data is carried out,the first-level fusion adopts the adaptive weighting method to obtain the average value of the samesensor data, the second-level fusion adopts D-S evidence theory to re-fuse the fusion results ofdifferent sensors; then, the safety of underground coal mine is judged according to the result of fusion.Finally, the proposed method is verified by experimental tests.