Research On Construction Monitoring Method Of Bridge Reinforcement Construction Based On BIM And 3D Laser Scanning

Traditional steel reinforcement construction methods often suffer from poor accuracy,which affects the quality of engineering projects.As steel reinforcement is a vital component of reinforced concrete structures,once the construction is complete,it becomes challenging and costly to inspect or repair.This necessitates minimizing errors and improving the quality of concrete engineering during the process of steel reinforcement binding.Traditional methods of steel reinforcement construction monitoring often face issues such as low accuracy,low efficiency,and high susceptibility to errors,making it difficult to meet the requirements of modern construction practices.Therefore,it is essential to develop a method that can provide precise construction monitoring for steel reinforcement,enabling quick,accurate,and user-friendly inspections of the steel reinforcement’s position and offering a viable monitoring solution for its precise construction.Compared to traditional measurement techniques,3D laser scanning technology offers advantages such as high precision,efficiency,and detailed three-dimensional visualization.By utilizing 3D laser scanning technology,real-time monitoring and measurement of the steel reinforcement construction process can be achieved.This thesis focuses on the research of steel reinforcement construction monitoring by combining 3D laser scanning technology with Building Information Modeling(BIM)techniques,aiming to provide a steel reinforcement construction monitoring method based on BIM and 3D laser scanning technology.The main work and achievements are as follows:1.Research on the relevant features of BIM in bridge engineering,comparative analysis of different modeling platform software.To address the lack of steel reinforcement design tools,handling complex shapes,and steel reinforcement collision detection in BIM modeling for bridge engineering,a research study on parameterized modeling methods for steel reinforcement in BIM software was conducted.Taking a 20-meter simply supported T-beam highway bridge as the research object,the Revit parameterization feature was used to create a concrete component family library for the bridge.By applying the component family in the project,the BIM modeling of various types of steel reinforcement for the bridge was completed,resulting in a set of precise steel reinforcement modeling methods based on BIM.2.The basic principles and current applications of 3D laser scanning technology were analyzed,including scanning devices,scanning principles,point cloud data processing,and the relationship between scanning angles and point cloud acquisition rates.To meet the practical requirements of steel reinforcement construction monitoring regarding the construction sequence,the steel reinforcement scanning operation was divided into several stages,allowing for phased scanning.Based on the technical specifications of the Z+F5010X laser scanner and the actual site environment,a steel reinforcement construction scanning scheme based on 3D laser scanning was proposed,including on-site acquisition of steel reinforcement’s three-dimensional information,scanning paths,and deployment of target spheres.By performing scanning operations on the in-progress steel reinforcement,a specific measurement plan suitable for steel reinforcement was developed.After obtaining the point cloud data model,by analyzing the sources of errors and utilizing processing software for noise reduction,stitching,and encapsulation of point cloud data models,point cloud data models for each stage of the steel reinforcement were established,resulting in a set of modeling methods for steel reinforcement point cloud data based on 3D laser scanning.3.The problem of invalid point cloud or outlier point cloud in the field data acquisition of steel reinforcements is studied,and the method of secondary processing of point cloud data model is proposed.The point cloud data is separated from the isolated point cloud and the low point to improve the accuracy and quality of the point cloud data model.By dispersing the BIM model into a point cloud,the point cloud data model of the 3D laser scanner is fitted with the BIM model,and the best fitting method of the steel point cloud data model is studied to fit the two models.Aiming at the problems of incomplete alignment of longitudinal steel reinforcements,uneven spacing of stirrups and low accuracy of the overall model of steel reinforcements in current construction,the fitted model is compared and analyzed,and the position of the reinforcement with errors is adjusted at each stage according to the comparison results to eliminate the deviation.Based on this,a steel reinforcement construction quality monitoring method based on BIM and 3D laser scanning technology is proposed to guide the construction.