Jian Su, Yu Huang, Guangxian Lv, Haitao Liu, Peng Jin
{"title":"基于云计算和CEP的电网知识推荐与情境推理框架研究","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":"{\"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}","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}
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.