基于多指数分析的房屋建筑承重墙垂直检测系统研究OA

This study proposes a vertical detection scheme for load-bearing walls that integrates multiple feature indices,constructing a detection system based on multi-index analysis.It combines 3D architectural design drawings with a multi-dimensional sensor array deployed on the load-bearing walls to collect data in real-time.The initial balance state of the load-bearing walls is assessed by constructing a multi-scale balance index calculation model.A structural deformation prediction model for load-bearing walls is established.Finally,the sampling frequency and multi-source data fusion weights are dynamically adjusted.Experimental results show that the vertical deviation detected by the system is 3.2‰,5.8‰,and 7.5‰,respectively,with the relative error controlled within a reasonable range of 8.6%to 8.8%.The overall detection error of the system is≤0.35%,which is more than 42%higher than that of traditional single-index detection methods.It can effectively identify subtle vertical deviations and potential safety hazards.This provides a new technical path for the safety inspection of load-bearing walls in building construction.