{"title":"基于Hadoop的电力大数据智能处理平台设计","authors":"Guanhao Gao","doi":"10.1109/ISAIEE57420.2022.00024","DOIUrl":null,"url":null,"abstract":"In order to improve the capabilities of parallel processing and planning of large volumes of electricity data, an intelligent platform for processing large volumes of electricity data developed on the basis of the Hadoop framework is proposed. The research includes a data processing module, a data loading module, a bus control module, and a human-machine interaction module to build an integrated database model for the parallel processing of big data in the field of electricity. The results of the simulation tests show that the intelligent big electricity data processing platform developed in this study can efficiently combine data mining and resource planning capabilities, further improve the integrated big electric data processing capability, and provide a new idea for an efficient solution for the efficient management and analysis of big electricity data, which is crucial for the development of electric systems.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"66 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of Intelligent Processing Platform for Electric Big Data in Hadoop\",\"authors\":\"Guanhao Gao\",\"doi\":\"10.1109/ISAIEE57420.2022.00024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to improve the capabilities of parallel processing and planning of large volumes of electricity data, an intelligent platform for processing large volumes of electricity data developed on the basis of the Hadoop framework is proposed. The research includes a data processing module, a data loading module, a bus control module, and a human-machine interaction module to build an integrated database model for the parallel processing of big data in the field of electricity. The results of the simulation tests show that the intelligent big electricity data processing platform developed in this study can efficiently combine data mining and resource planning capabilities, further improve the integrated big electric data processing capability, and provide a new idea for an efficient solution for the efficient management and analysis of big electricity data, which is crucial for the development of electric systems.\",\"PeriodicalId\":345703,\"journal\":{\"name\":\"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)\",\"volume\":\"66 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISAIEE57420.2022.00024\",\"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 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISAIEE57420.2022.00024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of Intelligent Processing Platform for Electric Big Data in Hadoop
In order to improve the capabilities of parallel processing and planning of large volumes of electricity data, an intelligent platform for processing large volumes of electricity data developed on the basis of the Hadoop framework is proposed. The research includes a data processing module, a data loading module, a bus control module, and a human-machine interaction module to build an integrated database model for the parallel processing of big data in the field of electricity. The results of the simulation tests show that the intelligent big electricity data processing platform developed in this study can efficiently combine data mining and resource planning capabilities, further improve the integrated big electric data processing capability, and provide a new idea for an efficient solution for the efficient management and analysis of big electricity data, which is crucial for the development of electric systems.