防灾减灾工程学报2025，Vol.45Issue(6)：1383-1396,14.DOI:10.13409/j.cnki.jdpme.20250430095
建筑地震响应的视觉监测与虚拟现实验证
Visual Monitoring of Building Seismic Response and Validation through Virtual Reality
摘要
Abstract
To address the lack of measured structural vibration data during earthquakes,this study proposed a visual monitoring and verification method for building seismic responses based on virtual re-ality and computer vision.First,an indoor building model was constructed using Unreal Engine,and the seismic response time histories calculated by OpenSees were imported through the blueprint sys-tem to achieve nonlinear and coordinated deformation of structural components,thereby creating real-istic seismic scenarios.Second,a deep learning model was employed to perform instance segmenta-tion of walls,beams,slabs,and other components,followed by the extraction of edge line features.Then,the spatial geometric relationships of image edge points were established based on photogram-metric principles,and the three-dimensional displacements and inter-story drift angle time histories of the components were calculated.Considering the minor vibrations of actual surveillance cameras,the effects of translational motion,optical-axis displacement,and angular perturbation on the identified in-ter-story drift angle were further analyzed.The results showed that the inter-story drift angles identi-fied by the proposed method were highly consistent with the inputs of Unreal Engine,with a maxi-mum percentage error of only 0.28%.The translational jitter of the camera could be completely can-celed out through inter-story differencing,while the effects of optical-axis motion and angular perturba-tion remained minimal.This study demonstrates that the proposed method can achieve low-cost valida-tion of visual monitoring algorithms in a virtual environment and provide a feasible technical pathway for visual identification of seismic responses in real buildings.关键词
虚拟现实/图像实例分割/深度学习/地震响应/计算机视觉Key words
virtual reality/image instance segmentation/deep learning/seismic response/computer vision分类
建筑与水利引用本文复制引用
LI Jinke,LI Kang,LI Shengli,ZHAO Xuefeng..建筑地震响应的视觉监测与虚拟现实验证[J].防灾减灾工程学报,2025,45(6):1383-1396,14.基金项目
河南省自然科学基金青年科学基金项目(252300420408)、河南省科技攻关项目(242102240032)资助 （252300420408）
