Exploration on the Empowerment of Digital Twin and AI Early Warning for Smart Fire Protection Based on BIM Technology

Jiamin Zhao; Yaji Liu; Yiheng Li; Jing Tan; Saichun Wang; Jian Xiong; Dongxian Yang

doi:10.54097/z6yh0012

Authors

Jiamin Zhao
Yaji Liu
Yiheng Li
Jing Tan
Saichun Wang
Jian Xiong
Dongxian Yang

DOI:

https://doi.org/10.54097/z6yh0012

Keywords:

Digital Twin, AI Early Warning, Smart Fire Protection, BIM

Abstract

Against the background of accelerated urbanization and diversified architectural forms, the passive and lagging shortcomings of the traditional fire protection model have become increasingly prominent. As a core part of smart city construction, smart fire protection relies on AI early warning and machine learning algorithms to mine risk patterns from multi-source data, upgrade fire early warning and response prediction, and provide systematic solutions for smart fire protection. Based on the digital foundation of BIM technology and focusing on digital twin and AI early warning as two core technologies, this paper analyzes the technical integration path in the field of smart fire protection, expounds the empowered application scenarios from the dimensions of risk perception, emergency command and operation & maintenance management, discusses the current challenges and future development directions, so as to provide theoretical reference and practical reference for the construction of smart fire protection system.

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