{"title":"电网监测诊断系统的数据湖体系结构","authors":"Ying Li, Aimin Zhang, Xinman Zhang, Zhihui Wu","doi":"10.1145/3299819.3299850","DOIUrl":null,"url":null,"abstract":"In this paper, a data lake architecture is proposed for a class of monitoring and diagnostic systems applied to power grid. The differences between data lake and data warehouse is studied to make an informed decision on how to manage a huge amount of data. To adapt to the characteristics and performances of historical data and real-time data of power grid equipment, a monitoring and diagnosis system based on data lake storage architecture is designed. The application of the framework indicates the applicability and effectiveness of data lake architecture.","PeriodicalId":119217,"journal":{"name":"Artificial Intelligence and Cloud Computing Conference","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A Data Lake Architecture for Monitoring and Diagnosis System of Power Grid\",\"authors\":\"Ying Li, Aimin Zhang, Xinman Zhang, Zhihui Wu\",\"doi\":\"10.1145/3299819.3299850\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a data lake architecture is proposed for a class of monitoring and diagnostic systems applied to power grid. The differences between data lake and data warehouse is studied to make an informed decision on how to manage a huge amount of data. To adapt to the characteristics and performances of historical data and real-time data of power grid equipment, a monitoring and diagnosis system based on data lake storage architecture is designed. The application of the framework indicates the applicability and effectiveness of data lake architecture.\",\"PeriodicalId\":119217,\"journal\":{\"name\":\"Artificial Intelligence and Cloud Computing Conference\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Artificial Intelligence and Cloud Computing Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3299819.3299850\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Artificial Intelligence and Cloud Computing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3299819.3299850","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Data Lake Architecture for Monitoring and Diagnosis System of Power Grid
In this paper, a data lake architecture is proposed for a class of monitoring and diagnostic systems applied to power grid. The differences between data lake and data warehouse is studied to make an informed decision on how to manage a huge amount of data. To adapt to the characteristics and performances of historical data and real-time data of power grid equipment, a monitoring and diagnosis system based on data lake storage architecture is designed. The application of the framework indicates the applicability and effectiveness of data lake architecture.
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