基于模糊信息融合的矿井火灾监测系统研究

Study on Mine Fire Detection System Based on Fuzzy Information Fusion

针对目前我国矿井火灾探测系统检测处理数据不可靠等问题,基于模糊信息融合理论,应用多传感器对煤矿井下火灾预防的指标气体和参量进行监测,将监测设备的多个传感器所获得的CO、温度、烟雾浓度参数信息模糊化,再将其融合而获取设备精确的状态估计。该系统可对各种参量进行融合运算和决策,实现矿井火灾的早期预测预报。实验结果表明,基于信息融合的矿井火灾探测系统识别准确率及可靠性大大提高。

In view of the existing issues such as the data detected and processed by China＇ s coal mine fire detection system are unreliable, based on fuzzy information fusion theory, the target gases and parameters of fire prevention underground in coal mine are detected by applying multi-sensor, the information of the parameters such as Co, temperature, smoke concentration acquired from multiple sensors of the detection system is carries on fuzzy processing to be fusion again, and the precise state estimation of equipment is gained. The system can be fusion computing and decision-making of various system parameters to realize the early prediction for mine fire. The experimental result indicates that the discerning accuracy and reliability of mine fire detection system based on fuzzy information fusion is greatly increased.