煤矿瓦斯异常数据报警方法应用研究  

Application research of alarming method for abnormal data of coal mine gas

作　　者：邹哲强 屈世甲 

机构地区：[1]中煤科工集团常州自动化研究院,江苏常州213015

出　　处：《工矿自动化》2013年第6期1-5,共5页Journal Of Mine Automation

基　　金："十一.五"国家科技支撑计划项目(2009BAK54B05)

摘　　要：对基于极差值、最小值、相关系数3种关联模型的煤矿瓦斯异常数据报警方法在应用中存在的2个传感器之间数据的延滞时间如何确定、传感器误差的影响、报警的准确率等问题进行了详细分析,提出应采用数据曲线比较法而不是距离风速计算法来确定延滞时间,同时发现巷道中瓦斯气团的运动速度低于风速的现象并对这一现象进行了初步解释;提出采用数理统计法消除传感器误差影响的方法;结合现场数据,对3种关联模型的准确率进行了验证,结果表明该报警方法完全可以在实际中有效应用。The paper detailedly analyzed problems of how to determine lag time of data between two sensors, effect of sensor error, accuracy rate of alarm in application of alarming method for abnormal data of coal mine gas based on three kinds of correlation models of difference between the maximum and the minimum, the minimum and correlation coefficient, and proposed that data curve comparison method should be used instead of distance anemometer algorithm to determine the lag time, meanwhile, found phenomenon that movement speed of gas air mass in roadway is lower than wind speed and gave preliminary explanation for the phenomenon. It proposed a method to use mathematical statistics method to eliminate effect of sensor error. Combined with field data, verification was conducted on accuracy rate of the three kinds of correlation models, and the result shows that the alarming method can be effectively applied in practice.

关 键 词：煤矿安全监控 瓦斯传感器 报警方法 瓦斯扩散 数据异常 传感器误差 报警准确率 关联模型 

分 类 号：TD712[矿业工程—矿井通风与安全]