A Framework Research of Power Grid Knowledge Recommendation and Situation Reasoning Based on Cloud Computing and CEP
Jian Xin Su, Yu Huang, Guangxian Lv, Haitao Liu, Peng Jin · 2016
Modern power grid can produce a large amount of data at run time which shows a feature of fragmentation and disordering. Using the method of cloud-based knowledge management to achieve grid data, information retrieval, situation deducing and disaster warning, are important thoughts to be implemented. To solve the challenge, we put forward a software framework including knowledge recommendation and situation inference based on cloud computing and CEP(Complex Event Process). The framework can realize Large-scale analysis and intelligent recommendation for power grid and build reduction rules and models of power grid accident to implement disaster warning through CEP. Also, we show the prototype system.