基于信息融合的煤层自然发火监测系统研究

Study on coal spontaneous combustion monitoring system based on information fusion

针对目前我国在矿井火灾预警系统检测处理数据不可靠等问题,以单片机作为中央处理器,基于模糊信息融合理论,应用多传感器对煤层自然发火的指标气体和参量进行监测,将监测设备的多只传感器所获得的信息模糊化,再将其融合,从而获取设备精确的状态估计。该系统利用信息融合技术对各种参量进行融合运算和决策,实现了煤层自然发火的早期预测预报,实验结果表明:基于信息融合的煤矿火灾预警系统识别准确率与可靠性大大提高。

In view of the present problem that the mine fire early warning system processes data unreliable in coal mine,took the microcontroller as the central processor, based on the fuzzy information fusion theory, the multisensors is applied to carry on monitoring to the coal spontaneous combustion target gas and the parameter, monitoring facilities＇ many sensors will obtain information fuzzy, again its fusion, thus the equipment precise state estimation is gained. This system carries on the fusion operation and the decision-making to each kind of parameter using the information fusion technology, and the coal bed spontaneous combustion early prediction is realized. The experimental result shows that recognition rate of accuracy and the reliability of coal mine fire early warning system based on information fusion is enhanced greatly.