矿井风速数据预处理中Kalman滤波方法  

Kalman Filtering Method in Mine Wind Speed Data Preprocessing

作　　者：屈世甲 武福生 

机构地区：[1]中煤科工集团常州研究院有限公司,江苏常州213015 [2]天地(常州)自动化股份有限公司,江苏常州213015

出　　处：《煤矿安全》2016年第1期116-118,122,共4页Safety in Coal Mines

摘　　要：结合巷道监测点的特点分析了风速数据的干扰不是平稳过程条件下的高斯白噪声,提出用Kalman滤波对数据进行预处理。结合风速序列的特点及风速传感器测量误差范围对Kalman滤波算法滤波过程中的初始值和各参数的选择进行了说明。选择甘肃某矿连续1 000次巡检的风速数据对Kalman滤波对风速数据的预处理方法进行了验证,结果表明该方法滤波效果较好。Combined with the characteristics of the roadway monitoring point analysis, that Gauss white noise interference of wind speed data is not stationary process conditions, we proposed Kalman filtering data preprocessing. Combined with the characteristics of wind speed and wind speed sensor sequence range of measurement errors, we described Kalman filter algorithm to select the initial value of the filtering process and the parameters. Wind speed data through 1 000 consecutive inspection in a mine of Gansu Province were veri- fied by Kalman filtering of wind speed data preprocessing methods. The results show that wind from the data pre - processing is better.

关 键 词：干扰数据 数据分析 矿井风速 Kalman滤波算法 白噪声 数据预处理 风速传感器 

分 类 号：TD76[矿业工程—矿井通风与安全]