摘要
介绍了一种数据融合方法在智能仪表多传感器系统中的应用,它对测量值进行一致性检测和分批估计,得出融合值。实验数据分析结果表明,使用此算法处理的数据有更小的误差和方差。这种实时数据处理方法采用有限次等精度测量,具有计算量小,计算机编程容易等特点,适用于缓变量智能检测系统。
A method of data fusion applied to intelligence instrument multi-sensor system is presented.In accordance with the consistent test of the sample data and then the results handed by division estimation,it gets the fusion data. Actual data analysis shows that the result gets lesser errors and mean square errors by means of the algorithm.There is many advantages in the real-time data processing of finite equal precision measurement,but less computational burden,easy programming.It suits for the intelligence instruments of slow circumstance variables.
出处
《自动化与仪表》
2006年第6期76-79,共4页
Automation & Instrumentation
关键词
数据融合
一致性估计
分批估计
有限次测量
data fusion
test of consistency
division estimation
finite measurement