Jian Su, Yu Huang, Guangxian Lv, Haitao Liu, Peng Jin
{"title":"A Framework Research of Power Grid Knowledge Recommendation and Situation Reasoning Based on Cloud Computing and CEP","authors":"Jian Su, Yu Huang, Guangxian Lv, Haitao Liu, Peng Jin","doi":"10.1109/CSCloud.2016.14","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":410477,"journal":{"name":"2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCloud.2016.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
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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