多分辨率多传感器动态数据的融合和应用

Multiresolution Multisensor Dynamic Data Fusion and Application

基于线性均方估计建立了 q叉树的多尺度自回归模型 .该模型应用于分布式多分辨率多传感器进行建模 ,可实现多分辨率多传感器的动态数据融合 .将该算法用于高精度划线切割机器人系统中多传感器的建模 ,实现了型钢划线切割过程中型钢边缘的动态检测 .实验结果表明 ,多分辨率多传感器数据融合可消除噪声的干扰 。

A class of multiscale autoregression model based on qth-order tree was introduced and the algorithm was based on the linea mean square estimation. The model was applied to deal with the problem of distributed multiresolution dynamic data fusion. The model was also applied to model the multisensor in high precision marking-cutting robot system and to do the dynamic measurement of profiled bars' edge in the marking and cutting process. The experimental result shows that the multiresolution multisensor data fusion can denoise and enhance the precision of measuring and machining of the system.