A Framework of Biot Intelligent Monitoring System for Building Exteriors

Haotian Liu, Hongdi Wang () and Chenyue He
Additional contact information
Haotian Liu: Zhejiang University of Finance & Economics
Hongdi Wang: Zhejiang University of Finance & Economics
Chenyue He: Zhejiang University of Finance & Economics

A chapter in Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate, 2021, pp 1401-1411 from Springer

Abstract: Abstract The quality and safety of building exteriors is closely related to people’s life and property safety, and social stability as well. The extant monitoring system of building exteriors is criticized for the insufficient technological application and the imperfect management practice that is heavily dependent on human judgment. Through an extensive literature review on the implementation of information communication technologies, including Internet of Things (IoT) and building information model (BIM), in the quality and safety management of building exteriors, a framework of BIoT (a combination of BIM and IoT) intelligent monitoring system for building exteriors is conceptualized. Sensors shall be utilized to automatically collect data about the building quality and safety status, and the real-time sensor data will be integrated into the BIM centered database to form a digital twin. Cloud storage and data analysis is then conducted to dynamically monitor the building quality and safety status. Once an emergency occurs, BIM-based virtual simulation and warning will be automatically initiated to support the follow-up decision making. The proposed framework is conducive to realizing the dynamic and intelligent monitoring on the quality and safety of building exteriors and the data-driven decision-making support, and it can enrich the BIM applications in facility management.

Keywords: Building quality and safety; Intelligent monitoring; BIM; BIoT (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-8892-1_98

Ordering information: This item can be ordered from
http://www.springer.com/9789811588921

DOI: 10.1007/978-981-15-8892-1_98

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().