BIM-Based Construction Information Management Framework for Site Information Management
Author(s): |
Dong-Gun Lee
Ji-Young Park Sang-Hoon Song |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Advances in Civil Engineering, 2018, v. 2018 |
Page(s): | 1-14 |
DOI: | 10.1155/2018/5249548 |
Abstract: |
Projects in the construction industry are becoming increasingly large and complex, with construction technologies, methods, and the like developing rapidly. Various different types of information are generated by construction projects. Especially, a construction phase requires the input of many resources and generates a diverse set of information. While a variety of IT techniques are being deployed for information management during the construction phase, measures to create databases of such information and to link these various different types of information together are still insufficient. As such, this study aims to suggest a construction information database system based on BIM technology to enable the comprehensive management of site information generated during the construction phase. This study analyzed the information generated from construction sites and proposed a categorization system for structuring the generated information, along with a database model for storing such structured information. Through such efforts, it was confirmed that such a database system can be used for accumulating and using construction information; it is believed that, in the future, the continual accumulation and management of construction information will allow for corporate-level accumulation of knowledge as opposed to the individual accumulation of know-how. |
Copyright: | © 2018 Dong-Gun Lee et al. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
8.13 MB
- About this
data sheet - Reference-ID
10176687 - Published on:
30/11/2018 - Last updated on:
02/06/2021