In collaboration with a researcher Alturjman from Artificial Intelligence Engineering Department, Near East University, a study explores the transformative potential of integrating “Internet+ BIM technology” to develop smart construction sites, aiming to enhance productivity and scientific management in the construction industry. The research delves into the current landscape of smart construction sites and elucidates the symbiotic relationship between the Internet, Building Information Modeling (BIM) technology, and smart construction practices.
Identifying existing challenges, the study proposes an innovative intelligent management model based on the integration of Internet and BIM technology. This model offers a systematic approach to address inefficiencies and streamline processes in construction project management. By leveraging BIM technology, the study highlights concrete applications of an intelligent site management system, providing practical insights into enhancing construction project management practices.
The findings of the research present a novel framework for implementing smart construction practices, emphasizing the role of Internet and BIM technology in driving efficiency and effectiveness in construction project management. By embracing intelligent management solutions, construction stakeholders can optimize resource allocation, mitigate risks, and improve overall project outcomes.
The study underscores the significance of adopting “Internet+ BIM technology” as a catalyst for advancing smart construction practices. By harnessing the power of digitalization and data-driven decision-making, construction sites can transition towards greater automation, connectivity, and sustainability. The research offers valuable insights and practical recommendations for industry professionals and policymakers seeking to embrace smart construction methodologies and propel the construction sector towards a more efficient and resilient future.
More Information:
https://link.springer.com/chapter/10.1007/978-3-031-28893-7_76
