真实—虚拟多层传感器技术在煤岩识别中应用

Application of real-virtual sensor multi-layer technology in coal-rock recognition

将真实—虚拟多层传感器信息融合技术应用到煤岩界面识别系统中。采用由真实传感器层和虚拟传感器层组成的复合融合结构,并引用了多层传感器的复合融合估计算法,以解决在测量噪声干扰下的参数估计问题。通过实例仿真结果表明:采用此方法后,煤岩界面识别精度明显提高,从而使采煤系统的生产自动化程度得到进一步增强。

The multi-layer fusion technology of real-virtual sensor information is applied to the identification system of coal-rock interface. The compound fusion structure is made up of real sensors and visual sensors and a estimation algorithm of composite multi-sensor fusion is cited, which is used to solve the parameter estimation problems in the noise environment. Simulation results show that the coal-rock interface recognition accuracy is improved obviously after this method is cited, and so the automation degree of coal mining system has further strengthened.