Ajou University repository

The Prediction of Fire Disaster Using BIM-Based Visualization for Expediting the Management Processoa mark
Citations

SCOPUS

8

Citation Export

Publication Year
2023-02-01
Publisher
MDPI
Citation
Sustainability (Switzerland), Vol.15
Keyword
application programming interfacebuilding information modelfire disaster controlsmart disaster managementvisualization
All Science Classification Codes (ASJC)
Computer Science (miscellaneous)Geography, Planning and DevelopmentRenewable Energy, Sustainability and the EnvironmentEnvironmental Science (miscellaneous)Energy Engineering and Power TechnologyHardware and ArchitectureComputer Networks and CommunicationsManagement, Monitoring, Policy and Law
Abstract
As buildings become larger and more complex, fire disaster management is of great concern. A building’s fire response and/or rescue system plays a pivotal role in minimizing fire victims and loss. To improve the current fire disaster management, it is important to link building (static) information, i.e., structural elements, fire escapes, and openings, with the fire (dynamic) information. When a building fire occurs, real-time fire information is required to be effectively linked with the on-site building information because the fire rescue teams, in most cases, are unfamiliar with the buildings. This study has proposed a Building Information Model (BIM)-based fire disaster management process which can digitally track the building data and the dynamic fire data simultaneously. To expedite this algorithm, an application program, i.e., Smart Fire Rescue Management (SFRM) has been developed using Revit™ software. A real-case project has been applied to evaluate the feasibility of the system. An expert survey has also been conducted to analyze the practical applicability. As a result, the system has been evaluated as exceptional, but it is necessary to upgrade the application from the practitioner’s viewpoint. The SFRM contributes to expediting the conventional disaster management process by enhancing the efficiency of the building fire response and/or rescue system.
ISSN
2071-1050
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/33268
DOI
https://doi.org/10.3390/su15043719
Fulltext

Type
Article
Funding
This research was supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) funded by the Ministry of Land, Infrastructure and Transport (Grant No. 22ORPS-B158109-03) and the National Research Foundation (NRF) funded by the Misistry of Education (Grant No. S2020-A0403-00178).
Show full item record

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Cha, Hee Sung Image
Cha, Hee Sung차희성
Department of Architecture
Read More

Total Views & Downloads

File Download

  • There are no files associated with this item.