Big-Data-Based Research on the Architecture Design of University Hydropower Intelligent Decision Service Platform

Ken Chen, J. He
{"title":"Big-Data-Based Research on the Architecture Design of University Hydropower Intelligent Decision Service Platform","authors":"Ken Chen, J. He","doi":"10.1145/3456415.3456416","DOIUrl":null,"url":null,"abstract":"With the continuous development and wide application of big data and artificial intelligence technology, how to efficiently use and mine the whole process data of university hydropower models, perception, business and flows, and realize the transformation of informationization of hydropower management to intelligentialize and wisdom, it has become one of the main tasks in the construction of universitiy informatization under the strategy of advocating energy conservation, lowcarbon sustainable development. Combining with the actual demand of university hydropower management, managing and serving the whole process of hydropower data collection, storage, analysis, monitoring and decision-making assistance, this paper proposes the architecture of an intelligent decision-making service platform for university hydropower on big data, and sorts out the core and key technologies in the platform development process and the current mainstream development frameworks and tools to provide technical references for the realization of intelligent hydropower management and application services in universities, and promote the overall planning and step-by-step implementation of smart campuses.","PeriodicalId":422117,"journal":{"name":"Proceedings of the 2021 9th International Conference on Communications and Broadband Networking","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 9th International Conference on Communications and Broadband Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3456415.3456416","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

With the continuous development and wide application of big data and artificial intelligence technology, how to efficiently use and mine the whole process data of university hydropower models, perception, business and flows, and realize the transformation of informationization of hydropower management to intelligentialize and wisdom, it has become one of the main tasks in the construction of universitiy informatization under the strategy of advocating energy conservation, lowcarbon sustainable development. Combining with the actual demand of university hydropower management, managing and serving the whole process of hydropower data collection, storage, analysis, monitoring and decision-making assistance, this paper proposes the architecture of an intelligent decision-making service platform for university hydropower on big data, and sorts out the core and key technologies in the platform development process and the current mainstream development frameworks and tools to provide technical references for the realization of intelligent hydropower management and application services in universities, and promote the overall planning and step-by-step implementation of smart campuses.
基于大数据的高校水电智能决策服务平台体系结构设计研究
随着大数据和人工智能技术的不断发展和广泛应用,如何高效利用和挖掘高校水电模型、感知、业务、流量的全过程数据,实现水电管理信息化向智能化、智慧化的转变,已成为倡导节能战略下高校信息化建设的主要任务之一。低碳可持续发展。结合高校水电管理的实际需求,对水电数据采集、存储、分析、监测、辅助决策等全过程进行管理和服务,提出了基于大数据的高校水电智能决策服务平台架构。并对平台开发过程中的核心和关键技术以及当前主流的开发框架和工具进行梳理,为高校实现智能水电管理和应用服务提供技术参考,促进智慧校园的整体规划和分步实施。
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 求助全文
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:604180095
Book学术官方微信