Infrared Image Identification Method for Water Seepage State of Exterior Wall Panel Splices under Prefabricated Beams in Buildings
In order to accurately identify the water seepage state of the joint of the outer wall panel under the prefabricated beam of the prefabricated building and evaluate the service quality of the building,an infrared image recognition method for the water seepage state of the joint of the outer wall panel under the prefabricated beam of the building was proposed.Apply Gaussian low-pass filtering method and geometric correction model based on control points to denoise and correct infrared images of external wall panel seams;Apply the fuzzy clustering method based on heat source to cluster and segment the processed infrared images;Construct a YOLO v3 network model based on BiFPN improvement based on image segmentation results,extract water seepage features from exterior wall panel joint images,cluster the segmented infrared image features of exterior wall panel joint water seepage,and accurately identify the infrared image of exterior wall panel joint water seepage.The results show that the peak signal-to-noise ratio of the proposed method is above 52.6,and the highest interaction ratio is 0.986.The infrared image preprocessing effect is good,the recognition accuracy is high,and it effectively meets the requirements of building infrared detection standards,providing a reliable basis for evaluating the quality of building use.
万方数据
维普
