摘要
文章针对单一传感器在煤矿环境监测过程中可能存在的故障和误差问题,提出了一种基于多源信息融合的煤矿安全监测模型。模型以瓦斯传感器、CO传感器和温度传感器3类传感器的数据作为输入,通过一级融合和二级融合的方法处理,将多传感器的信息进行综合,得到对井下环境安全等级的判断。实验结果表明,该模型在识别煤矿环境状态方面具有较高的准确性和可靠性,提高了煤矿安全监测的准确性和可靠性。
This paper proposes a coal mine safety monitoring model based on multi-source information fusion to address the potential faults and errors of single sensors in the coal mine environment monitoring process.The model takes the data from three types of sensors,namely gas sensors,CO sensors,and temperature sensors,as input,and processes them through first-level and second-level fusion methods to integrate the information from multiple sensors,ultimately obtaining judgments on the safety level of the underground environment.Experimental results show that the model has high accuracy and reliability in identifying the coal mine environment status,improving the accuracy and reliability of coal mine safety monitoring.
作者
任文华
薛艳龙
越强
REN Wenhua;XUE Yanlong;YUE Qiang(Guoneng Wuhai Energy Information Technology Co.,Ltd.,Wuhai 016000,China)
关键词
煤矿矿井
安全监测
多传感器信息融合
coal mine
safety monitoring
multi-sensor information fusion
