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ISSN

2424-8460(Online)

2251-2608(Print)

Article Processing Charges (APCs)

US$800

Publication Frequency

Quarterly

PDF

Published

2025-04-18

Issue

Vol 12 No 1 (2025): Published

Section

Articles

AIoT-based indoor fire inspection and early warning system

Yan Li

Communication University of China, Nanjing

Yanbin Bu

Communication University of China, Nanjing

Long Zhang

Communication University of China, Nanjing

Yuhao Gou

Communication University of China, Nanjing

Xinyue Cheng

Communication University of China, Nanjing

Renqin He

Communication University of China, Nanjing

Huiting Zhang

Communication University of China, Nanjing


DOI: https://doi.org/10.59429/esta.v12i1.9682


Keywords: AIoT; Fire Warning; IoT Technology; Big Data Analysis; Deep Learning


Abstract

This paper analyzes an AIoT-based indoor fire inspection and early warning system that utilizes a layered architecture to achieve multi-source data collection and fusion. The system integrates IoT technology, big data analysis, and artificial intelligence algorithms to build an intelligent fire warning model. Through three major functional modules - real-time monitoring, intelligent analysis, and remote management - the system achieves precise identification and early warning of fire risks, providing reliable theoretical support for indoor fire safety.


References

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[7] Liang Jianfeng. Research and Implementation of Home Fire Monitoring System Based on IoT Cloud Platform [D]. Nanning: Guangxi University, 2021(6):52-53.

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[10] Li Tiancai, Li Xuehong, Li Guiqin. Design of Smart Fire Protection Wireless Monitoring System Based on IoT [J]. Industrial Control Computer, 2020(1):12-13.

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