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.
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