Abstract:Using the method of quality vulnerability assessment to detect the steel structure of green construction buildings in the earthquake area easily leads to noise disturbance. Moreover, the detection depth is shallow; therefore, the damage of the steel structure cannot be detected comprehensively. Herein, a nondestructive detection method for steel structure based on building information modeling (BIM) and surface image analysis is proposed. The wavelet decomposition method is used to denoise the detection image of the steel structure. Further, the expansion and corrosion processings are used to enhance the clarity of the detection image. According to the change rate of image restoration at defect edges, the infrared image technology, and rotation tracking method are adopted to extract the defect edge. The detection model of green construction steel structure based on BIM in seismic area was constructed to comprehensively control the material, nondestructive testing, and management of green construction steel structure in the seismic area. Additionally, the whole life cycle of steel structure is controlled, and the nondestructive testing of steel structure is completed. The experimental results show that the effective detection rate of the proposed method, detection depth, and relative error of the detection results are 100%, 1 499 mm, and 0.000 7%, respectively.