A hierarchical software architecture for smart firefighting platform

Zixiang Zhang; Nady Slam; Zhengqiang Di; Yu Zhu

doi:10.1117/12.3032097

6 June 2024 A hierarchical software architecture for smart firefighting platform

Zixiang Zhang, Nady Slam, Zhengqiang Di, Yu Zhu

Proceedings Volume 13175, International Conference on Computer Network Security and Software Engineering (CNSSE 2024); 131750L (2024) https://doi.org/10.1117/12.3032097
Event: 4th International Conference on Computer Network Security and Software Engineering (CNSSE 2024), 2024, Sanya, China

Abstract

To enhance the fire service system, many countries have conducted extensive research on “Smart Firefighting” platform architecture and achieved significant results. However, there are still numerous challenges that persist in the field. To address the challenges related to storage, computing, security, and scalability of large-scale data in the "Smart Firefighting" domain, we have conducted an in-depth study and comparison of existing "Smart Firefighting" platform architectures. Based on the analysis, we propose a novel architectural for the "Smart Firefighting" platform, which combines the strengths of traditional hierarchical architecture with the Cloud-Edge-End architectural, this integration effectively preserves the key features of both architectural styles, and the proposed fusion model is able to satisfy the computation and storage of large amounts of firefighting data while guaranteeing security. This architectural model can serve as a reference for the construction of highly available, high-performance, and more secure and stable "Smart Firefighting" platforms and holds significant importance in accelerating the development and maintenance of "Smart Firefighting" to ensure long-term social stability and security.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zixiang Zhang, Nady Slam, Zhengqiang Di, and Yu Zhu "A hierarchical software architecture for smart firefighting platform", Proc. SPIE 13175, International Conference on Computer Network Security and Software Engineering (CNSSE 2024), 131750L (6 June 2024); https://doi.org/10.1117/12.3032097

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