基于激光雷达的高炉回旋区深度探测研究

炼铁高炉回旋区深度的直接探测存在较大困难,提出了一种基于激光雷达的回旋区边缘探测方法。探测得到的回波信号存在较大噪声干扰,为提取边缘回波信号,首先对噪声特点进行分析,判明噪声包括白噪声和1/fγ非平稳随机噪声;由此采用多小波平移不变算法进行滤波处理;采用H ilbert-Huang变换对滤波后的信号进行处理,对其瞬时能量进行分析。由于回旋区边缘表现出较为强烈的局部能量,从能量谱中可较好地提取回旋区边缘信号。试验表明,采用激光雷达探测回旋区的深度,能较为真实地反映高炉回旋区的真实状态,其值较计算建模方法更可靠。进一步的研究可望得到回旋区的二维或三维形貌。

Detecting Depth of the Tuyere Raceway by Laser Radar Echo Signals

This paper researches the detecting method for depth of the tuyere raceway based on laser radar.Aiming at more noise inference in laser radar echo signals,it firstly analyzes the noise characteristics and identifies that the noises are mainly white noise and 1/fγ non-stationary noise.Then,it adopts multi-wavelet translation invariant algorithm for filtering,followed by the Hilbert-Huang method provided for the further extraction of the filtered signal,getting the distance signal that is satisfied in SNR.As strong and regional feature stands for the brim of the tuyere raceway,it can extract the useful signal from the energy spectrum.Tests show that the morphology of two-dimensional laser radar raceway generates the value,which proves to be more reliable compared to the calculation modeling.Further research is expected to get the three-dimensional shape of raceway.