针对传统警务工作中存在着信息孤岛、数据分析不足等问题，本研究构建了融合大数据与知识图谱的智慧警务新模式。首先阐述了大数据通过提供全面而丰富的数据源，从而为警务工作赋能。进而分析了知识图谱通过其强大的语义关联能力，将数据进行深度整合、高校检索以及智能推理。接下来从实践应用层面，分析了智慧警务新模式在犯罪预测、案件侦破、社会治安防控、资源优化配置等多个警务场景中的实际应用。在此基础上，对智慧警务未来的发展趋势进行了展望，为公安领域的数字化转型与智能化升级提供了有价值的思考与建议。

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.