为了提高钢坯连铸机结晶器内钢水液位的高度检测精度,设计了基于FPGA的差分电磁式钢水液位检测系统。检测系统由FPGA控制、差分电磁式传感器、高精度仪表放大器、锁相滤波处理、高精度A/D转换和4~20 m A输出等模块组成。检测系统测量范...为了提高钢坯连铸机结晶器内钢水液位的高度检测精度,设计了基于FPGA的差分电磁式钢水液位检测系统。检测系统由FPGA控制、差分电磁式传感器、高精度仪表放大器、锁相滤波处理、高精度A/D转换和4~20 m A输出等模块组成。检测系统测量范围宽,在结晶器钢水液面局部波动时,使检测输出的液位电流信号基本保持不变,提高了检测系统抗局部钢水波动的能力。经实际验证,系统具有测量精度高、成本低、可靠性高等特点,已在某钢铁企业替代捷克进口SH型液位检测设备投入运行。展开更多
A new multi-sensor data fusion algorithm based on EMD-MMSE was proposed.Empirical mode decomposition(EMD)is used to extract the noise of every time series for estimating the variance of the noise.Then minimum mean squ...A new multi-sensor data fusion algorithm based on EMD-MMSE was proposed.Empirical mode decomposition(EMD)is used to extract the noise of every time series for estimating the variance of the noise.Then minimum mean square error(MMSE)estimator is used to calculate the weights of the corresponding series.Finally,the fused signal is the weighted addition of all these series.The experiments in lab testified the efficiency of this method.In addition,the comparison in fusion time and fusion results with existing fusion method based on wavelet and average technique shows the advantage of this method greatly.展开更多
文摘为了提高钢坯连铸机结晶器内钢水液位的高度检测精度,设计了基于FPGA的差分电磁式钢水液位检测系统。检测系统由FPGA控制、差分电磁式传感器、高精度仪表放大器、锁相滤波处理、高精度A/D转换和4~20 m A输出等模块组成。检测系统测量范围宽,在结晶器钢水液面局部波动时,使检测输出的液位电流信号基本保持不变,提高了检测系统抗局部钢水波动的能力。经实际验证,系统具有测量精度高、成本低、可靠性高等特点,已在某钢铁企业替代捷克进口SH型液位检测设备投入运行。
基金The National High Technology Research and Development Program of China(863Program)(No.2001AA602021)
文摘A new multi-sensor data fusion algorithm based on EMD-MMSE was proposed.Empirical mode decomposition(EMD)is used to extract the noise of every time series for estimating the variance of the noise.Then minimum mean square error(MMSE)estimator is used to calculate the weights of the corresponding series.Finally,the fused signal is the weighted addition of all these series.The experiments in lab testified the efficiency of this method.In addition,the comparison in fusion time and fusion results with existing fusion method based on wavelet and average technique shows the advantage of this method greatly.