This research solves the problems of information island and insufficient data analysis in traditional policing work by constructing a new intelligent policing model based on big data and knowledge graph as the core framework. The research expounds in detail how big data provides rich and comprehensive data sources for public security work, and how knowledge graph uses its powerful semantic correlation ability to realize deep integration, efficient retrieval and intelligent reasoning of these data. At the practical application level, the paper analyzes the practical cases and applications of big data and knowledge atlas fusion in case detection, crime prediction, social security prevention and control, resource optimization allocation and other police scenarios. On this basis, it looks forward to the future challenges and development trends of intelligent policing, and provides valuable thinking and suggestions for the digital transformation and intelligent upgrading of public security field.