基于大数据的智能运维平台

Guolin Zhang, Jing Lin, Ying Zhang, Kechong Xue, J. Nan, Bo Li
{"title":"基于大数据的智能运维平台","authors":"Guolin Zhang, Jing Lin, Ying Zhang, Kechong Xue, J. Nan, Bo Li","doi":"10.1109/ICITE50838.2020.9231488","DOIUrl":null,"url":null,"abstract":"This paper introduces an intelligent operation and maintenance platform of urban rail transit based on big data, and its application in real projects. Automatic anomaly detection is realized through big data platform of intelligent operation and maintenance. Factors that may cause abnormalities through intelligent analysis are automatically found out. By providing multi-dimensional statistics, users can understand the failure rules of the control system from different aspects.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Big Data Based Intelligent Operation and Maintenance Platform\",\"authors\":\"Guolin Zhang, Jing Lin, Ying Zhang, Kechong Xue, J. Nan, Bo Li\",\"doi\":\"10.1109/ICITE50838.2020.9231488\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces an intelligent operation and maintenance platform of urban rail transit based on big data, and its application in real projects. Automatic anomaly detection is realized through big data platform of intelligent operation and maintenance. Factors that may cause abnormalities through intelligent analysis are automatically found out. By providing multi-dimensional statistics, users can understand the failure rules of the control system from different aspects.\",\"PeriodicalId\":112371,\"journal\":{\"name\":\"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITE50838.2020.9231488\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITE50838.2020.9231488","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

介绍了一种基于大数据的城市轨道交通智能运维平台及其在实际工程中的应用。通过智能运维大数据平台实现异常自动检测。通过智能分析,自动发现可能导致异常的因素。通过多维度的统计,用户可以从不同的角度了解控制系统的失效规律。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big Data Based Intelligent Operation and Maintenance Platform
This paper introduces an intelligent operation and maintenance platform of urban rail transit based on big data, and its application in real projects. Automatic anomaly detection is realized through big data platform of intelligent operation and maintenance. Factors that may cause abnormalities through intelligent analysis are automatically found out. By providing multi-dimensional statistics, users can understand the failure rules of the control system from different aspects.
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