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Title Significance of Building Information Modeling in Modern Project Management for Sustainable Smart City Applications
ID_Doc 35929
Authors Lian, MY; Liu, XW
Title Significance of Building Information Modeling in Modern Project Management for Sustainable Smart City Applications
Year 2022
Published Journal Of Interconnection Networks, 22, Supp01
DOI 10.1142/S0219265921410073
Abstract Building information modeling (BIM) is one of the most exciting recent construction, engineering, and architecture developments. Built environments play a significant role in Smart City worldwide, and they are used to convey useful information to achieve smart city strategic goals. In modern project management, optimizing resources, BIM data integration, and data sharing in a smart city environment is challenging. Hence, in this paper, IoT-based Improved Building Information modeling (IoT-IBIM) has been proposed to overcome the challenges in building information modeling in modern project management for sustainable smart city applications. This paper discusses the efforts to create and integrate built-in environment data with IoT sensors for effective communication. The Internet of Things provides efficient resource control, increased efficiency, and improved human quality of life. As a result, the Internet of Things is a critical enabler of smart societies, including smart homes, smart cities, and smart factories. Building Information Modeling is an advanced asset allocation framework that generates high-quality output, reduces resource use, reduces environmental effects of development, and secures resources and availability for future generations. The experimental results show that the proposed IoT-IBIM method enhances the performance ratio and improves data integration and data sharing in a smart city environment.
Author Keywords Building Information Modeling; modern project management; smart city; Internet of things
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Emerging Sources Citation Index (ESCI)
EID WOS:000867635500019
WoS Category Computer Science, Theory & Methods
Research Area Computer Science
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