Automated detection of truss geometric quality based on BIM and 3D laser scanning
The truss structure,widely employed in large-span public buildings for its lightweight and high load-bearing capacity,requires periodic inspections of its geometric quality to ensure safety with its usage over time.However,conventional methods for inspecting the geometric quality of truss structures rely mainly on manual processes,which are inefficient and costly.This paper proposed an automated detection algorithm to perform geometric quality inspection of truss structures.Firstly,the truss structure was separated from the background in the acquired raw point cloud data using building information model(BIM).Subsequently,an algorithm based on key point detection technology automatically extracted geometric features of the truss structure and calculated node coordinates.Finally,by comparing computed results with the BIM design information,geometric quality inspection results were obtained.The validation of the proposed method was conducted in the auditorium of a campus in Shenzhen,China.The experimental results demonstrated that the computational outcomes of the proposed algorithm exhibited an error within 2 mm compared to the measurements obtained from the total station.When the computational results of the proposed method were contrasted with BIM model data,variations in the truss structure nodes were detected,indicating different degrees of settlement.Consequently,the proposed method enabled accurate and rapid spatial positioning of nodes,thereby enhancing the efficiency of geometric quality inspection for truss structures.
automationtrussgeometric qualitybuilding information model3D laser scanning