Integration of Artificial Intelligence and Internet of Things to Construct Urban Security Monitoring System

With the acceleration of urbanization, urban security is facing numerous complex challenges. Traditional monitoring methods are increasingly unable to meet the growing security demands. This paper focuses on the important topic of constructing an urban security monitoring system by integrating artificial intelligence and the Internet of Things. It delves deeply into the relevant theories and technological foundations, and analyzes the current situation and requirements of the urban security monitoring system. On this basis, a system architecture including the perception layer, network layer, data layer, and application layer is designed. Key technologies such as data fusion, intelligent analysis and prediction, intelligent early warning, and emergency response, as well as their applications, are also elaborated. Through the analysis of practical application scenarios, the effectiveness of the system is verified. Finally, the research achievements are summarized, and future development directions are prospected, providing theoretical support and practical references for improving the level of urban security monitoring.