A Method for Reading Peak Values of Impact Echo Signal Spec-tral Images Based on OpenCV
Ironmaking in blast furnaces is a key link in the steel production process.Corrosion hazards are prone to occur in-side 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.
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