Examining the position of building information modeling (BIM) technology in different dimensions of building smartness
Abstract
Due to the fact that the construction industry is one of the high-risk industries, it is inevitable to pay sufficient attention to the safety category in this industry. Currently, due to the development of modern technologies, the traditional methods used in safety management have given way to the mentioned technologies. Therefore, the use of modern technologies such as BIM can be a practical step in reducing financial losses while increasing productivity. The purpose of this research is to investigate the role and place of using building information modeling in different sectors, such as improving smartness, and safety, and its application in reducing energy consumption. Considering that a significant share of the capital of different countries is spent in the construction sector, it is necessary for the builders to seriously consider the vital factors affecting the success of the project. It is necessary to allocate resources appropriately to the activities, and at the same time, there should be proper coordination between different team members. This coordination is considered necessary for teamwork and will have major benefits in the process of implementing construction projects. Considering the special place of building information modeling technology in the construction industry and its remarkable advantages in this industry, facilitating the implementation process of the project, identifying interferences, and speeding up the implementation process, it is necessary to have different aspects of this technology. Furthermore, its role and position in the construction industry and its impact on building management should be investigated. Finally, the results obtained from this research show the positive impact of using building information modeling technology in risk management, safety, reducing energy consumption, and the possibility of intelligent project management.
- Publication:
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arXiv e-prints
- Pub Date:
- September 2023
- DOI:
- arXiv:
- arXiv:2309.03015
- Bibcode:
- 2023arXiv230903015P
- Keywords:
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- Mathematics - Functional Analysis