Construction of Intelligent Safety Management System: Collaborative Innovation of Artificial Intelligence and Internet of Things Technology

DOI: https://doi.org/10.62517/jsse.202508202

Author(s)

Wu Jiajun, Li Gang, Li Guanglei

Affiliation(s)

Wulong District People's Hospital, Chongqing, China

Abstract

As the complexity and security threats in cities continue to escalate, traditional security management models face bottlenecks such as data silos and delayed responses. This paper proposes a new security management system centered on the collaboration of the Internet of Things (IoT) and artificial intelligence (AI). By constructing multi-source sensing networks, implementing dynamic decision-making through intelligent algorithms, and adopting adaptive protection mechanisms, this system achieves a closed-loop management process for security. Through empirical analysis in smart city transportation, environmental monitoring, and public safety, the paper verifies the significant advantages of this system in improving risk warning accuracy and optimizing emergency response efficiency, while also providing a theoretical framework for future technological integration directions.

Keywords

Artificial Intelligence; Internet of Things; Environmental Sensor; Cross-Modal Fusion; Collaborative Innovation

References

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