摘要
针对传统的传感器监测矿井环境存在评判可靠性低、数据单一的缺点,提出了一种基于多参数、两级信息融合的安全监测方法。采用多传感器对瓦斯、温度、风速等信号进行采样,并根据矿井下的复杂结构采用分批估计和灰色关联分析的两级融合方式进行信息融合处理,实现对矿井安全环境监测参数的优化和整合,提高矿井监测系统的可靠性。
Aimed at traditional mine environment-monitoring method suffering from lower judgment certainty and less sufficient data,proposes a s^e monitor way based on multi-parameters and two stage information fusion.This mothod sampling gas ,temperature,wind speed and such signals with multi-sensor.According to the complex structure of coal mine ,using batch estimates and gray correlation analysis to proceed information fusion, optimization and integration the momitoring parameters of mine environmental and makes possible an improvement in the reliability and entirety of monitor system.
出处
《煤炭科技》
2010年第2期1-3,共3页
Coal Science & Technology Magazine
关键词
信息融合
瓦斯监测
分批估计
灰色关联分析
information fusion
gas monitoring
batch estimate
gray correlation analysis
