Automatic Detection of Corrosion Defects in Metal Materials of Boiler Feedwater Supply System in Thermal Power Plants
The deployment form of the conventional automatic detection node for metal material corrosion defects in the boiler feedwater system is generally set as a fixed form,with a small coverage range of automatic detection,which leads to an increase in the deviation of the final defect depth detection.Therefore,this paper proposes the design and practical analysis of the automatic detection method for corrosion defects in metal materials in the boiler feedwater system of thermal power plants.Based on current needs,adopt an edge based approach to expand the coverage of automatic detection,achieve automatic sensing detection node edge deployment,and perform fast scanning and fuzzy defect area calculation.Based on this,a material corrosion defect detection model for automated boiler feedwater system is constructed,and automatic detection is achieved through low-frequency review processing.The results show that for the randomly selected 5 test groups,the defect depth detection deviation of 1.2 mm,1.6 mm,1.8 mm,and 2.2 mm thickness materials was analyzed,and the final result was controlled below 0.25 mm.This indicates that the designed automatic detection method for corrosion defects in metal materials is more reliable,efficient,and realistic,with high efficiency and practical application value.
thermal power plantsboiler feedwater systemmetal materialcorrosion defectsautomatic defect detectiondetection method
万方数据
维普
