Research on Real time Decision Mechanism of Cloud Computing Driven Emergency Communication System Integrating Artificial Intelligence

Abstract

In emergency response to sudden public incidents, the emergency communication system serves as one of the most critical basic support infrastructures, playing an indispensable role in command, dispatch, and rescue coordination. Its decision-making speed and accuracy directly affect the overall effectiveness of the emergency response. Traditional emergency communication systems exhibit significant disadvantages, including severe decision-making lag, poor adaptability to rapidly changing scenarios, static resource allocation, and persistent barriers to multi-party collaboration. Consequently, these legacy systems cannot adequately cope with the highly dynamic and complex environments encountered during extreme disasters. To address these critical shortcomings, the integration of the elastic computing power and distributed collaborative characteristics of cloud computing technology with the intelligent perception and real-time decision-making capabilities of artificial intelligence provides a transformative avenue for modernizing emergency communication networks. Starting from the core architecture of cloud computing-driven emergency communication systems, this article comprehensively summarizes the operational requirements and technical obstacles associated with real-time decision-making in severe emergency scenarios. Furthermore, it provides specific methodological frameworks and implementation plans for deploying artificial intelligence across various critical domains, such as advanced situational awareness, dynamic resource allocation, robust link support, and seamless collaborative decision-making. Finally, extensive simulation experiments are utilized to rigorously test and validate the operational effectiveness, latency reduction, and overall strategic advantages of this proposed intelligent decision-making method, demonstrating its potential to significantly enhance future disaster management and resilient communication protocols.