智慧平安社区大数据云服务平台研究与设计

Research and design of intelligent and safe community service platform based on big data cloud

为了加强城市社区治安管理,提升基层社会治理能力,目前政府正在大力推进平安社区的建设,平安社区大数据云服务平台在平安社区的整体建设中处于重要地位,为落实平安社区的建设,本论文通过重点分析社区基础数据智能采集技术、多源异构大数据精准关联技术、治安风险监测预警技术以及治安风险防范技术,实现社区治安基础数据的采集、处理、分析与预警,并结合目前主流的Hadoop+Spark+HBase的分布式框架,最终完成平安社区大数据云服务平台的研究与设计。

In order to strengthen the administration of public security in urban communities and improve the capacity of grassroots social governance,the government is vigorously promoting the construction of safe communities.Big data cloud service platform plays an important role in the construction of safe community.This study analyzed the community-based intelligent data acquisition technology,multisource heterogeneous data accurate correlation technology,the security risk monitoring and early warning technology as well as security risk prevention technology,to construct safe community based on data collecting,processing,analyzing and early warning.With the“Hadoop+Spark+HBase”distributed framework,this study designed a big data cloud service platform for safe community construction.