Risk Warning System Based on Big Data Applied in the Power Informatization of State Grid
Long Chen, Yujian Chao, Yuandong Ma · 2016
Based on the requirement of the stable operation of power information network, the risk warning system based on big data is designed and implemented. The system includes five modules: resource management, real-time monitoring, operation management, decision analysis and integrated display. Risk warning model which consist of architecture evaluation model, real-time reliability evaluation model and historical evaluation model is proposed to achieve the early warning of the failure. Big data technology is used to comprehensive statistics and analysis of historical data. Hardware complexity of the system is low, with the advantages of the reuse of old server and the extendibility.