基于OpenCV的冲击回波信号频谱图像波峰数值读取方法  

A Method for Reading Peak Values of Impact Echo Signal Spectral Images Based on OpenCV

作　　者：黄祺祥 崔博 武冰冰 张林杉 Qixiang Huang;Bo Cui;Bingbing Wu;Linshan Zhang(College of Artificial Intelligence,North China University of Technology,Tangshan,Hebei 063210)

机构地区：[1]华北理工大学人工智能学院,河北唐山063210

出　　处：《新疆钢铁》2024年第2期64-66,共3页Xinjiang Iron and Steel

基　　金：河北省2023年度大学生创新创业训练计划项目(X2023072);华北理工大学2024年度研究生创新项目。

摘　　要：高炉炼铁是钢铁生产过程的关键环节,高炉内部容易发生侵蚀危害,严重则会影响高炉的寿命。冲击回波法是检测高炉炉衬厚度和缺陷的常用方法,该方法通过冲击波在材料中传播的频谱图来识别材料厚度和缺陷,在对频谱图进行分析时,频谱波形峰值对应的频率值是检测材料缺陷的重要参数,然而目前该参数的读取主要依赖于人工操作,存在效率低下和准确性不高的问题。对此,本研究针对该问题本文提出了一种基于OpenCV的冲击回波信号频谱图像波峰数值读取方法,该方法对采集到的图像进行一系列图像预处理以改善图像质量,并通过频谱图像峰值筛选算法精确提取波峰对应的频率值。经过多组对比实验表明,本研究的方法能够显著降低数据处理工作量,加快信息获取速度,提高无损检测的效率和准确度。Ironmaking in blast furnaces is a key link in the steel production process.Corrosion hazards are prone to occur inside the blast furnace,which can seriously affect its lifespan.The impact echo method is a commonly used method for detecting the thickness and defects of blast furnace lining.This method identifies material thickness and defects through the spectrum of shock wave propagation in the material.When analyzing the spectrum,the frequency value corresponding to the peak of the spectrum waveform is an important parameter for detecting material defects.However,currently,the reading of this parameter mainly relies on manual operation,which has problems of low efficiency and accuracy.In response to this issue,this study pro-poses an OpenCV based method for reading the peak values of impulse echo signal spectrum images.This method performs a series of image preprocessing on the collected images to improve image quality,and accurately extracts the frequency values corresponding to the peaks through the spectrum image peak filtering algorithm.Through multiple comparative experiments,it has been shown that the method proposed in this study can significantly reduce data processing workload,accelerate informa-tion acquisition speed,and improve the efficiency and accuracy of non-destructive testing.

关 键 词：峰值读取 频谱图像 OPENCV 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]