基于知识图谱的安防数据中台智能化研究与应用

传统安防数据平台存在数据组织形式单一、数据管理困难、难以适用于复杂应用场景等问题。如何做好数据源管理,理清数据源之间的关系,有效利用数据价值,成为安防领域的迫切需求。本文设计了基于知识图谱的安防数据中台构建方法,利用知识图谱强大的实体描述、语义处理和互联组织等能力,将安防数据以接近人类思考的模式组织起来,并结合数据中台具备打通安防行业固有多业务系统之间的数据壁垒、融合各业务系统产生的多源异构数据的特性,对传统的安防大数据平台进行了形式重组和架构优化。实现从数据采集、数据管理、数据分析、数据应用的全生命周期高效管理,有效的提升了智能化安防水平。

Traditional security data platforms have problems such as single data organization,difficult data management,and difficult to adapt to complex application scenarios and so on.How to manage data sources well,clarify the relationship between data sources,and effectively use the value of data has become an urgent need in the security field.This paper designs a method for constructing a security data middle platform based on a knowledge graph.We use the knowledge graph’s powerful capabilities in entity description,semantic processing,and interconnected organization to organize security data in a form close to human thinking,integrate the data middle platform to break security industry's inherent data barriers among multi-business systems,and fuse the characteristics of multi-source heterogeneous data generated by various business systems.This method has restructured and optimized the architecture of traditional security big data platform,as well as achieving the efficient management of the entire life cycle from data collection,data management,data analysis,and data application,effectively improving the capabilities of intelligent security.