基于云计算和CEP的电网知识推荐与情境推理框架研究

Jian Su, Yu Huang, Guangxian Lv, Haitao Liu, Peng Jin
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引用次数: 5

摘要

现代电网在运行时产生的大量数据呈现出碎片化、无序化的特点。利用基于云的知识管理方法实现网格化数据、信息检索、态势演绎和灾害预警,是需要实现的重要思路。为了解决这一挑战,我们提出了一种基于云计算和CEP(Complex Event Process)的知识推荐和情境推理软件框架。该框架可以实现对电网的大规模分析和智能推荐,建立电网事故减少规则和模型,通过CEP实现灾害预警。同时,我们展示了原型系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Framework Research of Power Grid Knowledge Recommendation and Situation Reasoning Based on Cloud Computing and CEP
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.
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