{"title":"Independent and controllable security container substation equipment condition monitoring method based on cloud edge cooperation","authors":"Yingwei Zhu, Dong Liu, Yinqiang Huang, Lixiang Ruan","doi":"10.1109/ACPEE53904.2022.9783815","DOIUrl":null,"url":null,"abstract":"In order to solve the problems of low real-time and insufficient accuracy of the current substation equipment state analysis methods, this paper proposes an independent and controllable security container substation equipment state monitoring method based on cloud edge cooperation mode. This method combines edge computing technology with cloud computing technology to build a cloud edge collaborative architecture for power equipment state analysis; On the edge side, the ordered processing of data is realized based on correlation analysis method to provide reliable and complete data support; On the cloud side of the master station, dynamic power equipment state analysis is realized based on C4.5 decision tree algorithm. The simulation experiment takes SF6 circuit breaker as an example. The experimental results show that the state recognition accuracy of the proposed method is more than 95% and has good state analysis performance.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACPEE53904.2022.9783815","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
In order to solve the problems of low real-time and insufficient accuracy of the current substation equipment state analysis methods, this paper proposes an independent and controllable security container substation equipment state monitoring method based on cloud edge cooperation mode. This method combines edge computing technology with cloud computing technology to build a cloud edge collaborative architecture for power equipment state analysis; On the edge side, the ordered processing of data is realized based on correlation analysis method to provide reliable and complete data support; On the cloud side of the master station, dynamic power equipment state analysis is realized based on C4.5 decision tree algorithm. The simulation experiment takes SF6 circuit breaker as an example. The experimental results show that the state recognition accuracy of the proposed method is more than 95% and has good state analysis performance.