Research on Construction Progress Monitoring Based on 3D Point Clouds and BIM Models

Construction progress monitoring is a critical aspect of construction management. However, measuring the progress of a building remains a manual, time-consuming, and error-prone task that often involves lengthy analysis processes. These inefficiencies lead to delays, additional costs, and increased workloads. Effective progress monitoring requires comparing the planned construction state at a given time (planned state) with the actual construction state (as-built state). The planned state is typically derived from Building Information Modeling (BIM), which incorporates both the geometric design and the construction schedule, This paper proposes a point cloud projection method for coarse registration, leveraging the vertical alignment characteristics of buildings to the ground. Compared to traditional coarse registration methods, the proposed approach significantly improves both speed and accuracy. Following the registration of real-world point clouds with point clouds generated from BIM models, the method segments the point clouds into slabs and columns. By comparing their respective areas, the current construction progress is accurately calculated [1].

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/eiecc64539.2024.10929501
Citations
1
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
0.83
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article

Research on Construction Progress Monitoring Based on 3D Point Clouds and BIM Models

Yu Sheng
1 citations
3D Surveying and Cultural Heritage
0.83
article

Research on Construction Progress Monitoring Based on 3D Point Clouds and BIM Models

Yu Sheng
article en
1 citations

Abstract

Construction progress monitoring is a critical aspect of construction management. However, measuring the progress of a building remains a manual, time-consuming, and error-prone task that often involves lengthy analysis processes. These inefficiencies lead to delays, additional costs, and increased workloads. Effective progress monitoring requires comparing the planned construction state at a given time (planned state) with the actual construction state (as-built state). The planned state is typically derived from Building Information Modeling (BIM), which incorporates both the geometric design and the construction schedule, This paper proposes a point cloud projection method for coarse registration, leveraging the vertical alignment characteristics of buildings to the ground. Compared to traditional coarse registration methods, the proposed approach significantly improves both speed and accuracy. Following the registration of real-world point clouds with point clouds generated from BIM models, the method segments the point clouds into slabs and columns. By comparing their respective areas, the current construction progress is accurately calculated [1].

Wuhan University of Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 17%
3D Surveying and Cultural Heritage
0.83
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