A Framework for Enhancement of Building Information Modeling using Internet of Things and Axiomatic Design Theory

• Published in: 2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) pp. 1342 - 1347
• Main Authors: Zafarghandi, E. M., Haji, A., Valilai, O. Fatahi
• Format: Conference Proceeding
• Language: English
• Published: IEEE 07.12.2022
• Subjects: Air pollution; Axiomatic design (AD); Building information modeling (BIM); Buildings; Data models; Energy consumption; Fans; Internet of things (IoT); Temperature sensors; Valves
• DOI: 10.1109/IEEM55944.2022.9989823

Building Information Modeling (BIM) tries to enable the production and management of a digital display of physical and functional characteristics of sites. Especially, integration of BIM in the processes related to the design, construction, and operation of buildings according to the aspects of environmental sustainability is one of the motivational topics. Using the Internet of Things (IoT) paradigm in Industry 4.0, this paper has tried to enhance the BIM more effectively and efficiently. The paper has focused on using the capabilities of IoT and its applications for BIM. Moreover, the Axiomatic Design (AD) framework has been applied to ensure the feasibility proposed framework. The AD ensures that the different functionalities and features of IoT in the proposed framework will not create a complex environment. The resulted framework has included the real-time interactions among the stakeholders and residents/stakeholders in the building while considering the energy consumption concerns. Moreover, capabilities like realization of users' preferences, using data mining techniques for learning from past experiences for accurate and timely adjustment, managing building performance have been considered.