Han Min, Zhengqiang Feng, Liu Xi, Wang Dong, Xu Zhong Ping
{"title":"Application Research of Power Grid Full-Business Monitoring and Analysis Based on Multi-source business and data fusion","authors":"Han Min, Zhengqiang Feng, Liu Xi, Wang Dong, Xu Zhong Ping","doi":"10.1145/3357292.3357306","DOIUrl":null,"url":null,"abstract":"With the development of power enterprise informationization after more than ten years of development, Achieve full coverage of the company's business, effectively supporting the full-business operation of the power grid, and the accumulated business data has exploded. However, there are still problems such as low data quality, insufficient integration of multi-source business and data fusion, which makes it difficult to monitor and analyze the full-business of the power grid. This paper will combine the big data technology to study how to conduct monitoring and analysis of power grid full-business operation based on multi-source business and data fusion, and realize the three-layer architecture of business and data combination layer, business and data integration layer and business and data aggregation layer. Different levels of analysis and application, such as indicator monitoring analysis, subject monitoring analysis, and special monitoring analysis, effectively support enterprise management analysis and analytical decision.","PeriodicalId":115864,"journal":{"name":"Proceedings of the 2nd International Conference on Information Management and Management Sciences","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Conference on Information Management and Management Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3357292.3357306","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the development of power enterprise informationization after more than ten years of development, Achieve full coverage of the company's business, effectively supporting the full-business operation of the power grid, and the accumulated business data has exploded. However, there are still problems such as low data quality, insufficient integration of multi-source business and data fusion, which makes it difficult to monitor and analyze the full-business of the power grid. This paper will combine the big data technology to study how to conduct monitoring and analysis of power grid full-business operation based on multi-source business and data fusion, and realize the three-layer architecture of business and data combination layer, business and data integration layer and business and data aggregation layer. Different levels of analysis and application, such as indicator monitoring analysis, subject monitoring analysis, and special monitoring analysis, effectively support enterprise management analysis and analytical decision.