International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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A Review on “Integration of Building Information Modeling [BIM]”

Author(s) Mr. Arbaz Bashir Lone, Prof. Shilpa Chauhan
Country India
Abstract The integration of Building Information Modeling (BIM) into construction and infrastructure projects has revolutionized the architecture, engineering, and construction (AEC) industries. BIM enables digital representation of physical and functional characteristics of a building, improving project efficiency, collaboration, and decision-making. This paper explores the integration of BIM with various technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Geographic Information Systems (GIS), and Blockchain to enhance project planning, cost estimation, risk management, and sustainability. The challenges of BIM integration, including interoperability, data security, and adoption barriers, are also discussed. A systematic review of existing literature highlights best practices and emerging trends in BIM implementation. The findings suggest that adopting BIM-integrated approaches can significantly improve project outcomes, reduce errors, and enhance sustainability in construction. Future research should focus on advanced automation, real-time data analytics, and regulatory frameworks to maximize BIM's potential. The integration of Building Information Modeling (BIM) and Geographic Information System (GIS) has been identified as a promising but challenging topic to transform information towards the generation of knowledge and intelligence. Achievement of integrating these two concepts and enabling technologies will have a significant impact on solving problems in the civil, building and infrastructure sectors. However, since GIS and BIM were originally developed for different purposes, numerous challenges are being encountered for the integration. To better understand these two different domains, this paper reviews the development and dissimilarities of GIS and BIM, the existing integration methods, and investigates their potential in various applications. This study shows that the integration methods are developed for various reasons and aim to solve different problems. The parameters influencing the choice can be summarized and named as “EEEF” criteria: effectiveness, extensibility, effort, and flexibility. Compared with other methods, semantic web technologies provide a promising and generalized integration solution. However, the biggest challenges of this method are the large efforts required at early stage and the isolated development of ontologies within one particular domain. The isolation problem also applies to other methods. Therefore, openness is the key of the success of BIM and GIS integration
Keywords : Building Information Modeling (BIM), Digital Twin, AI in Construction, IoT, GIS, Blockchain, Interoperability, Sustainability, Risk Management, Project Efficiency. Geographic Information System Extract Transform Load
Field Engineering
Published In Volume 7, Issue 5, September-October 2025
Published On 2025-10-18
DOI https://doi.org/10.36948/ijfmr.2025.v07i05.58285
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E-ISSN 2582-2160
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