Engineering Quality Defect Detection Method Based On BIM Technology And Its Application

When a single infrared thermal imager is used to detect the quality defects of the hollow surface of the architectural engineering decorative surface,the leakage of the envelope structure or the cracks in the traffic engineering,there is a problem that the two-dimensional infrared thermal imaging image lacks spatial position information and the data storage method is disorderly and disorderly.In addition,it can only qualitatively detect the position of the quality defect,and cannot quantitatively obtain the area size of the quality defect.Therefore,this paper proposes a method for quickly and easily detecting the area of quality defects such as hollow drums and leaks,and establishes a three-dimensional model of quality defects to determine the spatial position of quality defects.At present,infrared thermal imaging detection technology has changed from qualitative detection to quantitative research stage.Combining other detection technologies to achieve the fusion of multiple data and establishing a unique information model has become a hot research topic.The main flow of the research is as follows: Firstly,a method combining laser emitter and infrared thermal imager is proposed to detect the engineering quality defect area.After detection,a two-dimensional thermal imaging image with calibration information can be obtained,and then subjected to image processing.After that,the size of the defect area is solved according to the laser calibration principle.Secondly,the 3D laser scanner is used to scan the target area,and the scanned data is acquired,and the 3D point cloud model of the building is established through the denoising,registration,fusion and texture mapping of the point cloud.Finally,the the two-dimensional thermography image is merged with the three-dimensional point cloud model through information extraction and format conversion,thereby obtaining a three-dimensional building model with engineering quality defect area and position information,and then using the identification point comparison method to analyze the model error.The research and experimental work show that the method is feasible,and a three-dimensional model of the area and spatial position information of the quality defect can be obtained.And the stitching effect is better.The integrated 3D building model can directly and quickly obtain the position coordinates and area size of engineering quality defects,which is convenient for guiding repair work.The research work in this paper has the following three main parts:1.This work designs a set of data collection schemes for the quality defect area of buildings or traffic engineering,and uses Matlab to design related algorithms to perform color model conversion,channel processing,gray processing and binarization on 2D thermal imaging images.Then use the pixel statistical method and the laser calibration principle to obtain the target area.2.This work defines the operation process of reverse engineering modeling technology,summarizes the data collection method and precautions for the point cloud data characteristics of building or traffic engineering,and gives a better method of removing point cloud noise to the architectural point cloud data.3.This work studies the characteristics of infrared thermography map information.The image contour information and color information are extracted from the two-dimensional image and converted into a common format file,and the two-dimensional image information is merged with the architectural three-dimensional point cloud model by using Geomagic studio software.