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Geometry Information Extraction in 3D Viewing Model of Industrial Construction Projects Open Access


Other title
Quantity take-off
3D Model
Geometry information
Type of item
Degree grantor
University of Alberta
Author or creator
Han, Pengxiang
Supervisor and department
AbouRizk, Simaan M. (Department of Civil and Environmental Engineering)
Examining committee member and department
Mohamed, Yasser (Department of Civil and Environmental Engineering)
Dhar, Bipro R. (Department of Civil and Environmental Engineering)
Department of Civil and Environmental Engineering
Construction Engineering and Management
Date accepted
Graduation date
2017-11:Fall 2017
Master of Science
Degree level
In industrial construction projects, cost estimation is one of the most important procedures for all stakeholders. Cost estimation relies on information provided by quantity take-off. The traditional practice of manual quantification based on 2D drawings is time-consuming, tedious, error-prone and expensive. Computer-aided software based on 2D drawings still requires complicated procedures to interact with the computer. It only slightly improves work efficiency. Quantity take-off based on Building Information Modeling (BIM) is gradually applied in industrial construction projects. However, at technical and contractual levels, there are limited applications for BIM technology, due to the lack of data exchange standards, platform compatibilities and the availability of useable BIM models. This research project proposes an alternative method to improve the efficiency of quantity take-off by automatically generating geometry information of construction components based on 3D viewing models. The 3D viewing model is the digital graphic representation of the object, and it has broadly compatible formats. However, the essential information for quantity take-off, such as component types, material properties and geometry information, is missing in 3D viewing models. The 3D viewing model cannot be directly used for quantity take-off. This research proposes a method to address the challenges posed by the absence of geometry information in 3D viewing models. The model components will be classified based on their geometry shapes, and the specific algorithm is built to generate corresponding geometry information for each geometry shape. The algorithms will recognize, extract and calculate the geometry information about components in the 3D viewing model. The algorithm calculation results will be stored in the database, which can assist estimators to implement quantity take-off. The academic contribution of the research is that it proposes an alternative method using 3D viewing models to implement quantity take-off. The algorithms are built to generate geometry information based on computer graphics representations. The application contribution of the research is that it provides a usable tool which has the potential to improve the efficiency of the quantity take-off process with reliable accuracy. It can decrease the duration and cost in quantity take-off and cost estimation.
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