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This article explores the role of the information environment in ensuring the security of modern society. It examines the potential and prospects for integrating Internet of Things technology into warning system and evacuation management. The advantages of this approach, including improved situational monitoring accuracy and reduced emergency response times, are discussed. Particular attention is paid to integrating IoT devices with existing fire alarm and video surveillance systems, as well as the potential for analyzing big data at crowded facilities. The article analyzes the use of intelligent sensors, machine learning technologies, and adaptive evacuation management algorithms, and presents a modular IoT-based PES architecture for crowded facilities. The article examines the system's functional modules, ranging from fire detection and data analysis to adaptive evacuation route planning and intelligent alerting. An algorithm for interaction between modules is proposed, providing a closed-loop «detection-analysis-decision-action-control-protection» process. Particular attention is paid to cybersecurity issues, secure data transmission protocols, and mechanisms for ensuring the integrity and reliability of information. The scientific novelty of this work lies in the development of an adaptive modular model of a fire safety system with predictive control elements and integrated cybersecurity tools. The practical significance lies in the potential application of the proposed architecture in the design of next-generation intelligent fire safety systems and in improving fire risk assessments at facilities with mass stay of people.
Melnikov et al. (Fri,) studied this question.