Research on Multi-Parameter Data Monitoring System of Distribution Station Based on Edge Computing

Shizhan Song, Sen Li, Hui Gao, Jingyu Sun, Zhenshu Wang, Yongzhi Yan
{"title":"Research on Multi-Parameter Data Monitoring System of Distribution Station Based on Edge Computing","authors":"Shizhan Song, Sen Li, Hui Gao, Jingyu Sun, Zhenshu Wang, Yongzhi Yan","doi":"10.1109/AEEES51875.2021.9403026","DOIUrl":null,"url":null,"abstract":"With the continuous improvement of power grid intelligence, it is necessary to build intelligent and information-based distribution network. This paper presents an intelligent monitoring system of distribution network based on power Internet of things and edge computing. Based on the cloud side end architecture, the real-time operation data and information of the distribution station are fully collected and the state is fully perceived by the intelligent terminal equipment. Zigbee, 485 and other communication methods are used to upload to the edge computing layer to realize the local computing and terminal intelligence, early warning and control of the power grid operation risk, and auxiliary decision-making of the power grid business, so as to ensure the security and stability of the power grid The data processing speed is improved and the business processing ability is enhanced.","PeriodicalId":356667,"journal":{"name":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEEES51875.2021.9403026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

With the continuous improvement of power grid intelligence, it is necessary to build intelligent and information-based distribution network. This paper presents an intelligent monitoring system of distribution network based on power Internet of things and edge computing. Based on the cloud side end architecture, the real-time operation data and information of the distribution station are fully collected and the state is fully perceived by the intelligent terminal equipment. Zigbee, 485 and other communication methods are used to upload to the edge computing layer to realize the local computing and terminal intelligence, early warning and control of the power grid operation risk, and auxiliary decision-making of the power grid business, so as to ensure the security and stability of the power grid The data processing speed is improved and the business processing ability is enhanced.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于边缘计算的配电站多参数数据监控系统研究
随着电网智能化水平的不断提高,建设智能化、信息化的配电网势在必行。提出了一种基于电力物联网和边缘计算的配电网智能监控系统。基于云端架构,智能终端设备充分采集配电站的实时运行数据和信息,充分感知状态。采用Zigbee、485等通信方式上传到边缘计算层,实现局部计算和终端智能,对电网运行风险进行预警和控制,辅助电网业务决策,从而保证电网的安全稳定,提高数据处理速度,增强业务处理能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Improve the Dynamic Breakdown Voltage of SOI LDMOS Devices by Eliminating the Effect of Deep Depletion in Substrate Distribution Network Planning Considering loss with new linearization expression A New Method of Maintenance and Repair of Secondary System in Intelligent Substation Short-term EV Charging Load Forecasting Based on GA-GRU Model AC/DC Hybrid Renewable Energy System Coordinated Control and Test Platform
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1