基于云边缘协同架构的变电站数字孪生系统

Yuying Xue, Yun Shen, Huibin Duan, Yaqi Song, M. Cheriet
{"title":"基于云边缘协同架构的变电站数字孪生系统","authors":"Yuying Xue, Yun Shen, Huibin Duan, Yaqi Song, M. Cheriet","doi":"10.1109/ICIPNP57450.2022.00031","DOIUrl":null,"url":null,"abstract":"The transformer station is an important link in the transmission process of the power grid, digital twin is a new way to develop intelligent transformer, which can effectively improve the safety of the transformer station. In this paper, the digital twin technology is applied to the transformer station. Firstly, the basic architecture of digital twin is analyzed, two network deployment schemes are proposed according to the requirements of three-dimensional model construction, information transmission, and two-way interaction to provide a stable infrastructure for digital twin. Then, according to the characteristics and needs of the transformer station, a digital twin transformer station is built based on the cloud-edge collaboration architecture, and the capabilities of the cloud and the edge are defined. Finally, a digital twin transformer station model is built from multiple perspectives. An all-weather detection model is proposed for the safety requirements of the transformer station, and the detection content and information interaction are determined.","PeriodicalId":231493,"journal":{"name":"2022 International Conference on Information Processing and Network Provisioning (ICIPNP)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Digital Twin System for Transformer Station Based on Cloud-edge Collaboration Architecture\",\"authors\":\"Yuying Xue, Yun Shen, Huibin Duan, Yaqi Song, M. Cheriet\",\"doi\":\"10.1109/ICIPNP57450.2022.00031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The transformer station is an important link in the transmission process of the power grid, digital twin is a new way to develop intelligent transformer, which can effectively improve the safety of the transformer station. In this paper, the digital twin technology is applied to the transformer station. Firstly, the basic architecture of digital twin is analyzed, two network deployment schemes are proposed according to the requirements of three-dimensional model construction, information transmission, and two-way interaction to provide a stable infrastructure for digital twin. Then, according to the characteristics and needs of the transformer station, a digital twin transformer station is built based on the cloud-edge collaboration architecture, and the capabilities of the cloud and the edge are defined. Finally, a digital twin transformer station model is built from multiple perspectives. An all-weather detection model is proposed for the safety requirements of the transformer station, and the detection content and information interaction are determined.\",\"PeriodicalId\":231493,\"journal\":{\"name\":\"2022 International Conference on Information Processing and Network Provisioning (ICIPNP)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Information Processing and Network Provisioning (ICIPNP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIPNP57450.2022.00031\",\"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 Conference on Information Processing and Network Provisioning (ICIPNP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIPNP57450.2022.00031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

变电站是电网输电过程中的重要环节,数字孪生是发展智能变压器的新途径,可以有效提高变电站的安全性。本文将数字孪生技术应用于变电站。首先,分析了数字孪生的基本体系结构,根据三维模型构建、信息传输和双向交互的要求,提出了两种网络部署方案,为数字孪生提供稳定的基础设施。然后,根据变电站的特点和需求,构建了基于云边缘协同架构的数字孪生变电站,定义了云与边缘的能力;最后,从多个角度建立了数字孪生变电站模型。针对变电站的安全要求,提出了一种全天候检测模型,确定了检测内容和信息交互。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Twin System for Transformer Station Based on Cloud-edge Collaboration Architecture
The transformer station is an important link in the transmission process of the power grid, digital twin is a new way to develop intelligent transformer, which can effectively improve the safety of the transformer station. In this paper, the digital twin technology is applied to the transformer station. Firstly, the basic architecture of digital twin is analyzed, two network deployment schemes are proposed according to the requirements of three-dimensional model construction, information transmission, and two-way interaction to provide a stable infrastructure for digital twin. Then, according to the characteristics and needs of the transformer station, a digital twin transformer station is built based on the cloud-edge collaboration architecture, and the capabilities of the cloud and the edge are defined. Finally, a digital twin transformer station model is built from multiple perspectives. An all-weather detection model is proposed for the safety requirements of the transformer station, and the detection content and information interaction are determined.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信