{"title":"基于大数据的电力企业多层数据管理体系结构研究","authors":"Wang Jijun, Chen Yongqiu, Cheng Li","doi":"10.1109/ICCC56324.2022.10065634","DOIUrl":null,"url":null,"abstract":"In view of the characteristics of current electric power data, such as massive, high dimensional and multi-source heterogeneous, to meet the development needs of electric power enterprises, a multi-layer power enterprise data management architecture based on big data is proposed in the paper on the basis of summarizing the concept, development status, major difficulties and challenges in the field of electric power data control. Firstly, a general mathematical model of data management and control architecture is established with reference to the characteristics of electric power data, and the key technologies of its data processing are described algorithmically. Then, after analyzing and referring to the idea of big data platform architecture construction, a multi-layer system architecture for data management and control of electric power enterprises is further proposed. The architecture is divided into three layers: infrastructure virtualization layer, cloud computing support platform layer and power data application layer, which truly realizes the integration of physical facilities, data resources and business applications in one while taking into account security. Finally, the possible future research directions in this field are summarized and prospected.","PeriodicalId":263098,"journal":{"name":"2022 IEEE 8th International Conference on Computer and Communications (ICCC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Multi-layer Power Enterprise Data Management Architecture Based on Big Data\",\"authors\":\"Wang Jijun, Chen Yongqiu, Cheng Li\",\"doi\":\"10.1109/ICCC56324.2022.10065634\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In view of the characteristics of current electric power data, such as massive, high dimensional and multi-source heterogeneous, to meet the development needs of electric power enterprises, a multi-layer power enterprise data management architecture based on big data is proposed in the paper on the basis of summarizing the concept, development status, major difficulties and challenges in the field of electric power data control. Firstly, a general mathematical model of data management and control architecture is established with reference to the characteristics of electric power data, and the key technologies of its data processing are described algorithmically. Then, after analyzing and referring to the idea of big data platform architecture construction, a multi-layer system architecture for data management and control of electric power enterprises is further proposed. The architecture is divided into three layers: infrastructure virtualization layer, cloud computing support platform layer and power data application layer, which truly realizes the integration of physical facilities, data resources and business applications in one while taking into account security. Finally, the possible future research directions in this field are summarized and prospected.\",\"PeriodicalId\":263098,\"journal\":{\"name\":\"2022 IEEE 8th International Conference on Computer and Communications (ICCC)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 8th International Conference on Computer and Communications (ICCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCC56324.2022.10065634\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 8th International Conference on Computer and Communications (ICCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCC56324.2022.10065634","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Multi-layer Power Enterprise Data Management Architecture Based on Big Data
In view of the characteristics of current electric power data, such as massive, high dimensional and multi-source heterogeneous, to meet the development needs of electric power enterprises, a multi-layer power enterprise data management architecture based on big data is proposed in the paper on the basis of summarizing the concept, development status, major difficulties and challenges in the field of electric power data control. Firstly, a general mathematical model of data management and control architecture is established with reference to the characteristics of electric power data, and the key technologies of its data processing are described algorithmically. Then, after analyzing and referring to the idea of big data platform architecture construction, a multi-layer system architecture for data management and control of electric power enterprises is further proposed. The architecture is divided into three layers: infrastructure virtualization layer, cloud computing support platform layer and power data application layer, which truly realizes the integration of physical facilities, data resources and business applications in one while taking into account security. Finally, the possible future research directions in this field are summarized and prospected.