AI-Integrated BIM for Net-Zero Construction: Strategies for Efficiency, Waste Reduction, and Worker Safety
Disciplines
Construction Engineering | Environmental Design | Other Architecture
Abstract (300 words maximum)
This research aims to explore how AI technology in construction can advance net-zero buildings by improving efficiency, reducing waste, and ensuring ethical decision-making, including worker safety and secure construction management. BIM (Building Information Modeling) software that integrates AI technology can be used as an approach to understanding how construction zones for sustainable buildings maintain a safe workplace for workers and the environment. Because BIM is a foundation of different AI software, using the correct software for construction is also crucial for achieving this goal. This information on how AI technology balances the environment, and decision-making can be gathered through research papers that cover similar findings. These research papers include trends, case studies, and data-driven results that can be used to identify patterns, compare methodologies, and evaluate the effectiveness of AI technology solutions. Since AI technology hasn't been implemented in construction until the early 2000s, we are also gathering information that can highlight the constructive and destructive effects of BIM’s development. This research will mainly present the ethical decision-making of BIM technology and will provide feedback on how we can improve AI-driven project management software tools. The findings of this research are expected to inform future improvements in AI-driven project management tools for BIM technology to incorporate within its system, thereby improving any disruptions in the work area and creating a more sustainable future for the construction industry.
Academic department under which the project should be listed
CACM - Architecture
Primary Investigator (PI) Name
Pegah Zamani
AI-Integrated BIM for Net-Zero Construction: Strategies for Efficiency, Waste Reduction, and Worker Safety
This research aims to explore how AI technology in construction can advance net-zero buildings by improving efficiency, reducing waste, and ensuring ethical decision-making, including worker safety and secure construction management. BIM (Building Information Modeling) software that integrates AI technology can be used as an approach to understanding how construction zones for sustainable buildings maintain a safe workplace for workers and the environment. Because BIM is a foundation of different AI software, using the correct software for construction is also crucial for achieving this goal. This information on how AI technology balances the environment, and decision-making can be gathered through research papers that cover similar findings. These research papers include trends, case studies, and data-driven results that can be used to identify patterns, compare methodologies, and evaluate the effectiveness of AI technology solutions. Since AI technology hasn't been implemented in construction until the early 2000s, we are also gathering information that can highlight the constructive and destructive effects of BIM’s development. This research will mainly present the ethical decision-making of BIM technology and will provide feedback on how we can improve AI-driven project management software tools. The findings of this research are expected to inform future improvements in AI-driven project management tools for BIM technology to incorporate within its system, thereby improving any disruptions in the work area and creating a more sustainable future for the construction industry.