TY - GEN
T1 - Toward Automated Spatial Change Analysis of MEP Components Using 3D Point Clouds and As-Designed BIM Models
AU - Kalasapudi, Vamsi Sai
AU - Turkan, Yelda
AU - Tang, Pingbo
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/8/7
Y1 - 2015/8/7
N2 - The architectural, engineering, construction and facilities management (AEC-FM) industry is going through a transformative phase by adapting new technologies and tools into its change management practices. AEC-FM Industry has adopted Building Information Modeling (BIM) and three-dimensional (3D) laser scanning technologies in tracking changes in the whole lifecycle of building and infrastructure projects, from planning to design and construction, and finally to facilities management. One of the challenges of using these technologies in change management is the difficulties of reliably detecting changes of densely located objects, such as Mechanical, Electrical, and Plumbing (MEP) objects in building systems. This paper presents a novel relational-graph-based framework for automated spatial change analysis of MEP components. This framework extract objects and spatial relationships from 3D laser scanned point clouds, and use relational structures of objects in data and designed BIM models for fusing 3D data and as-designed BIM. The authors validated the proposed change analysis approach using data acquired from real building construction sites.
AB - The architectural, engineering, construction and facilities management (AEC-FM) industry is going through a transformative phase by adapting new technologies and tools into its change management practices. AEC-FM Industry has adopted Building Information Modeling (BIM) and three-dimensional (3D) laser scanning technologies in tracking changes in the whole lifecycle of building and infrastructure projects, from planning to design and construction, and finally to facilities management. One of the challenges of using these technologies in change management is the difficulties of reliably detecting changes of densely located objects, such as Mechanical, Electrical, and Plumbing (MEP) objects in building systems. This paper presents a novel relational-graph-based framework for automated spatial change analysis of MEP components. This framework extract objects and spatial relationships from 3D laser scanned point clouds, and use relational structures of objects in data and designed BIM models for fusing 3D data and as-designed BIM. The authors validated the proposed change analysis approach using data acquired from real building construction sites.
KW - 3D laser scanning
KW - BIM
KW - spatial change
UR - http://www.scopus.com/inward/record.url?scp=84960939145&partnerID=8YFLogxK
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U2 - 10.1109/3DV.2014.105
DO - 10.1109/3DV.2014.105
M3 - Conference contribution
AN - SCOPUS:84960939145
T3 - Proceedings - 2014 International Conference on 3D Vision Workshops, 3DV 2014
SP - 145
EP - 152
BT - Proceedings - 2014 International Conference on 3D Vision Workshops, 3DV 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on 3D Vision Workshops, 3DV 2014
Y2 - 8 December 2014 through 11 December 2014
ER -