Design and implementation of intelligent section monitoring system for user behavior analysis

The integration and sharing of power data and big data analysis are very important to improve the operation efficiency of power system and optimize the allocation of resources, but the complexity and security of its circulation are becoming increasingly prominent. This system solves the difficult problems in power data flow monitoring through innovative technical means, and verifies its feasibility and effect in key business systems such as power marketing 2.0 and PMS3.0. The system architecture follows the principle of modularization and extensibility, and consists of five layers: data acquisition, processing, analysis, monitoring and display, and security policy implementation. Fine-grained monitoring, real-time data transmission and abnormal behavior identification are realized by using key technologies such as tangent point implantation, multi-dimensional data acquisition, abnormal monitoring and user behavior analysis. The deployment test results show that the system is not only stable and practical, but also can realize the visual monitoring of data flow, build user behavior portraits and respond to abnormal events in time, maintain good real-time and stability under high load, meet the security requirements of power business, and has wide promotion value.