Theoretical methodology for precision diagnosis of urban area fire risks based on big data

Peng Liu

doi:10.1117/12.3051056

20 January 2025 Theoretical methodology for precision diagnosis of urban area fire risks based on big data

Peng Liu

Author Affiliations +

Proceedings Volume 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024); 134222N (2025) https://doi.org/10.1117/12.3051056
Event: Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 2024, Xi'an, China

Abstract

In response to the complexity of fire safety in urban areas, this study proposes a theoretical method for the accurate diagnosis of urban fire risks. By reviewing the current state of research, the study presents theoretical solutions in the areas of risk factor identification, safety capability evaluation, and demand analysis. Taking into account the actual conditions, usage characteristics, operating environments, and management statuses of urban buildings, as well as the overall fire safety landscape, the study addresses the challenges and shortcomings in fire prevention and control within the context of urban fire risk management.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Peng Liu "Theoretical methodology for precision diagnosis of urban area fire risks based on big data", Proc. SPIE 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 134222N (20 January 2025); https://doi.org/10.1117/12.3051056

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