Li Shuo, Qin Liwen, Yuan Xiaoyong, Zhou Yangjun, Lik Shan
{"title":"Research on Guangxi Multi-dimensional Visualization Platform Construction of Distribution Network Based on Big Data Architecture","authors":"Li Shuo, Qin Liwen, Yuan Xiaoyong, Zhou Yangjun, Lik Shan","doi":"10.1109/IICSPI48186.2019.9095937","DOIUrl":null,"url":null,"abstract":"It is urgent to build an effective big data management platform for power distribution network in view of the problems of massive power data being hard to be fully explored and managed integrally. Based on the big data architecture of power, this paper constructs the multidimensional visualization platform of distribution network, and realizes the multi-function architecture of the platform by integrating the production decision-making system and data analysis technology of multi-source distribution network. Based on the geographic information system, a large-screen visualization display platform of distribution network production business is established. Rich charts and geographic information are used to realize the comprehensive display of distribution network production business, providing users with smooth data visualization interaction and assisting in the decision-making of distribution network production business. The construction of multi-dimensional visualization platform of distribution network based on big data architecture has important research significance and application value to comprehensively improve the intelligent construction of distribution network.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IICSPI48186.2019.9095937","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
It is urgent to build an effective big data management platform for power distribution network in view of the problems of massive power data being hard to be fully explored and managed integrally. Based on the big data architecture of power, this paper constructs the multidimensional visualization platform of distribution network, and realizes the multi-function architecture of the platform by integrating the production decision-making system and data analysis technology of multi-source distribution network. Based on the geographic information system, a large-screen visualization display platform of distribution network production business is established. Rich charts and geographic information are used to realize the comprehensive display of distribution network production business, providing users with smooth data visualization interaction and assisting in the decision-making of distribution network production business. The construction of multi-dimensional visualization platform of distribution network based on big data architecture has important research significance and application value to comprehensively improve the intelligent construction of distribution network.