Research on Detection and recognition of building defects based on infrared imager
In order to improve the detection and recognition of the air tightness and defects of building exterior Windows,infrared thermal imager is used to collect the infrared images of building exterior Windows,and the images are preprocessed.Finally,the de-tection results of exterior window defects are obtained through the detection program.The results show that the trend of the optimal re-gression line and the ideal regression line of the research model are basically the same,and the correlation coefficients R are 0.99703,0.997 37,0.997 45 and 0.997 11,respectively.The mean relative error between the actual air permeability per unit area and the program test is 4.038％,indicating that the proposed test program has high detection accuracy.This study has certain reference value for reducing energy consumption of exterior Windows and improving energy conservation of buildings.
万方数据
维普
