A Study of Smart System of Power Utilization Safety Management Based on A Cloud Platform

Bin Sun, Haiying Li, Haochi Guo, Tao Li
{"title":"A Study of Smart System of Power Utilization Safety Management Based on A Cloud Platform","authors":"Bin Sun, Haiying Li, Haochi Guo, Tao Li","doi":"10.1109/IAEAC47372.2019.8997853","DOIUrl":null,"url":null,"abstract":"In allusion to a series of flaws in conventional system of power utilization safety management such as lack of fault diagnosis, fault analysis, insufficient detection of safe current carrying capacity, unachievable information share, and unfriendly visualization, this paper puts forward a method about smart system of power utilization safety management based on a cloud platform. It is to realize the following goals: total information awareness, normalization and visualization of business process, data of distributed collection and intelligent analysis, big data overall management, and so on. Through analyses and experiments, it has been turned out to meet the requirements of safe and reliable switching, continuous and stable running, and most of all, cutting the operating and maintenance charge down as well. Facts show that with features of technical advancement and economic rationality, the system can not only serve as a reference for design and construction of intelligent power controlling system in the environment of smart grid, but can also adapt to the development of smart grid technology under the regulate-control integration mode.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"24 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAEAC47372.2019.8997853","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

In allusion to a series of flaws in conventional system of power utilization safety management such as lack of fault diagnosis, fault analysis, insufficient detection of safe current carrying capacity, unachievable information share, and unfriendly visualization, this paper puts forward a method about smart system of power utilization safety management based on a cloud platform. It is to realize the following goals: total information awareness, normalization and visualization of business process, data of distributed collection and intelligent analysis, big data overall management, and so on. Through analyses and experiments, it has been turned out to meet the requirements of safe and reliable switching, continuous and stable running, and most of all, cutting the operating and maintenance charge down as well. Facts show that with features of technical advancement and economic rationality, the system can not only serve as a reference for design and construction of intelligent power controlling system in the environment of smart grid, but can also adapt to the development of smart grid technology under the regulate-control integration mode.
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
基于云平台的智能用电安全管理系统研究
针对传统用电安全管理系统缺乏故障诊断、故障分析、安全载流能力检测不足、信息共享无法实现、可视化不友好等一系列缺陷,提出了一种基于云平台的智能用电安全管理系统方法。实现全信息感知、业务流程规范化和可视化、数据分布式采集和智能分析、大数据整体管理等目标。经过分析和试验,该系统满足了安全可靠的开关、连续稳定运行的要求,降低了运行维护费用。事实表明,该系统具有技术先进性和经济合理性,不仅可以为智能电网环境下智能电力控制系统的设计和建设提供参考,而且可以适应调控一体化模式下智能电网技术的发展。
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
Research on Correction Method of Local Feature Descriptor Mismatch A Conceptual Framework for the Trusted Environment of E-commerce Transaction A Study of Smart System of Power Utilization Safety Management Based on A Cloud Platform Research and Application of Automatic Control of Ammonia Injection in Power Plant Based on Artificial Intelligence Periodic Test Procedure Improvements in Digital-Control Nuclear Power Plant
×
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