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Integration of Building Information Modeling and Artificial Intelligence of Things in the Post-War Reconstruction and Renovation of Buildings.

Authors :
Chashyn, Dmytro
Khurudzhi, Yelyzaveta
Daukšys, Mindaugas
Source :
Journal of Sustainable Architecture & Civil Engineering; 2024, Vol. 35 Issue 2, p117-132, 16p
Publication Year :
2024

Abstract

The construction industry of Ukraine shall not only recover but also upgrade, enhance and reevaluate existing building projects. Further research raises two pertinent issues for Ukraine - retrofitting and reconstructing destroyed infrastructure. The study's priority objective is to restore damaged and ruined buildings rapidly. It may be achieved using the creation of recovery methods in Ukraine and countries in the post-conflict stage of development. The research involves creating technical specifications for the product of a new version of the automated construction management system, which provides working with the software complexes based on the BIM model. The system implies using Building Information Modeling (BIM) and Artificial Intelligence of Things (AIoT) to make organization of reconstruction faster, better and less costly. The research has been held to demonstrate the viability of the approach. In addition, we acquire a reduction of energy consumption and an increase in the lifespan of the building by choosing retrofitting methods. The efficacy of BIM and IoT technologies enables the integration of contemporary demands to diminish design time and costs. These technologies also optimise design solutions by assimilating knowledge from previous building and structure designs. Additionally, they offer essential information support for the entire investment project life cycle. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20299990
Volume :
35
Issue :
2
Database :
Complementary Index
Journal :
Journal of Sustainable Architecture & Civil Engineering
Publication Type :
Academic Journal
Accession number :
178328152
Full Text :
https://doi.org/10.5755/j01.sace.35.2.35160