As urbanization accelerates, fire safety faces challenges such as fragmented data and delayed responses, necessitating an innovative risk prevention model through intelligent technologies. Our team integrates IoT sensing, multi-source heterogeneous data analysis, and AI algorithms to create a comprehensive technology system. This system covers everything from dynamic hazard identification and disaster prediction to coordinated rescue resource deployment. We aim to shift fire safety management from being experience-driven to a data- and model-driven approach, enabling precise governance. This innovation not only enhances urban resilience and disaster response capabilities but also fosters the growth of an intelligent emergency management ecosystem, providing vital support for future urban safety and sustainability.