信息融合技术在矿井安全监测系统中的应用

为了能够准确的判断矿井内环境的安全状况,利用信息融合技术设计了一套矿井安全监测系统.该系统主要由传感器节点、数据处理单元、地面监控单元和融合算法等几部分构成.传感器节点由温度传感器、瓦斯传感器、CO传感器和风速传感器组成,完成对井内各项数据的采集并将数据传送给数据处理单元;数据处理单元以CC2530芯片为控制芯片,对采集到的数据进行处理,并通过ZigBee技术实现无线传感器网络节点的数据传输;算法部分基于反向传播(BP)神经网络的融合算法,利用MATLAB实现的训练样本对实际数据进行融合,完成对实际情况的判断,最后做出决策.MATLAB仿真结果显示,融合后的结果与实际情况吻合,为矿井的安全监控提供更好的保障.

Information fusion technology in application of mine safety monitoring system

To determine the security situation accurately,a mine safety monitoring system was designed based on the information fusion technology.The system is mainly divided into four parts of sensor nodes,data processing unit,ground monitoring unit and fusion algorithm.Sensor nodes,consisting of temperature sensors,gas sensors,carbon monoxide sensors and wind speed sensors,collect and deliver the data to the processing unit;data processing unit uses CC2530 as control chip to process the collected data,then the wireless sensor network nodes transmit data by ZigBee technology; combined with the MATLAB,the fusion algorithm completes the training samples and carries out the fusion of actual data based on back propagation neural network,finally makes a decision.The MATLAB experiment simulation shows that the fused results are consistent with the actual situation,providing a stable and safe monitoring environment for the miners.