Construction of a Social Security Monitoring and Early Warning Platform Driven by Big Data

This article focuses on the existing sensitive information early warning mechanism and auxiliary decision-making is not sound, the emergency command and control is not agile, the application system business is solidified, and the existing monitoring and early warning service mode deals with multi-source, heterogeneous terrorism-related data, data utilization inefficiency and limited data processing service functions, the inability to achieve intelligent control of the process, and the inability to achieve precise monitoring, as well as the multi-dimensional and in-depth intelligent analysis of sensitive data. Research on distributed real-time transmission and distribution of big data based on multi-source and multi-channel adaptation, multi-source, heterogeneous big data distributed online real-time processing based on S4/Strom and distributed memory computing, position-based social security event monitoring, and semi-supervised system self-evolution and other key technologies, proposed to build a big data-driven social security monitoring and early warning platform system.