arrow
Return

Generating construction schedules through automatic data extraction using open BIM (building information modeling) technology

delete2013-11-01
delete141
PRE
AI
H
Hyunjoo Kim *
K
Kyle Anderson
S
Sang Hyun Lee
J
John Hildreth
DOI:10.1016/j.autcon.2013.05.020delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
The architecture, engineering, and construction industries have had rapid technological advancements over the last decade, particularly in the area of building information modeling (BIM). BIM stores all the information of a building and can be leveraged for many new and exciting applications including the generation of quantity takeoffs, 4D scheduling, and building simulations. The main objective in this study is to establish a framework for automating the generation of construction schedules by using data (e.g. spatial, geometric, quantity, relationship and material layer set information) stored in BIM. Using the extracted information, the proposed system in this research creates construction tasks, computes activity durations using available activity production rates, applies sequencing rules, and finally outputs a schedule. To demonstrate the functionality of this framework, a prototype system has been developed to import BIM representations with basic building elements such as slabs, walls, doors, windows, roofs, floors, and ceilings in two story buildings. (C) 2013 Elsevier B.V. All rights reserved.
Keywords:
Scheduling
Building information modeling (BIM)
ifcXML
Data exchange
Critical path method
Activity sequence
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Automation in Construction cover
Automation in Construction
IF:
11.5
Papers:
6.2K
Citations:
4.2W

Organization

U
university of north carolina
Scholars:
7.4W
Papers: 6.5W
Citations: 93
U
University of North Carolina Charlotte
Scholars:
3.0K
Papers: 2.5K
Citations: 2