基于多传感器数据融合记忆截割的研究

Research of Memory Cut Based on Multi-sensors Data Fuse

在分析了国内外多种煤岩识别传感器不足的基础上,提出了以记忆截割为主,多传感器检测为辅的调高方式。通过分析采煤机工作参数的影响因素,采用BP神经网络作为数据融合算法处理多传感器的采集信息,处理后的信息作为采煤机调高的依据。

On the base of analyzing the disadvantages of sensors at home and abroad, brings forward the lifting mode that memory cut is main and the multi - sensors is assistant. By analyzing the influence factors of the working parameters of the shear, suggests using BP neural network as data fuse arithmetic to dispose the multi - sensors information and the shear lifts by the disposed information.