面向大数据的高校智慧校园系统构建研究
|
摘要
随着社会信息化程度的不断提升,数据已经成为这个时代极为重要的产物,大数据凭借对海量数据的管理、挖掘与应用,在各行各业展现了强大的生产力。探讨了高校智慧校园系统构建思路,提出了智慧校园系统的总体框架,阐述了框架中数据感知、数据传输、大数据挖掘、智慧应用与支撑保障体系等五个主要层次布局,构建了一个具有高价值性的数据循环生态,将教育大数据转变为推进高校科学决策与发展的强大生产力。
With the continuous improvement of the level of social informatization,data has become extremely important in this era.Big data,with its management,mining and application of massive data,has demonstrated strong productivity in all walks of life.In this paper,the construction idea of university intelligent campus system is discussed and the overall framework of intelligent campus system is proposed.In the framework,the layout of five main levels are expounded,including data perception,data transmission,big data mining,intelligent application,support and guarantee system.The construction of a high-value data recycling ecosystem transforms educational big data into a powerful productivity that promotes scientific decision-making and development in universities.
With the continuous improvement of the level of social informatization,data has become extremely important in this era.Big data,with its management,mining and application of massive data,has demonstrated strong productivity in all walks of life.In this paper,the construction idea of university intelligent campus system is discussed and the overall framework of intelligent campus system is proposed.In the framework,the layout of five main levels are expounded,including data perception,data transmission,big data mining,intelligent application,support and guarantee system.The construction of a high-value data recycling ecosystem transforms educational big data into a powerful productivity that promotes scientific decision-making and development in universities.
引文
[1] Ying Hu.Study on the key algorithms and framework design of intelligent campus education platform based on big data technology[J].Technical Bulletin,2017(15):63-69.
[2] Jia Yanmei.Construction and application of intelligent campus in colleges and Uuniversities under the background of big data[C].Advances in Intelligent Systems and Computing,2019:866-872.
[3] Yingkai,Miao.Research on construction of data switching center for intelligence campus[C].IEEE 2nd International Conference on Big Data Analysis(ICBDA),2017:542-545.
[4]高强.基于大数据下的智慧校园建设总体架构模型及典型应用[J].电脑知识与技术,2017,13(21):162-163;170.
[5]黄成兵.大数据环境下高校智慧校园建设应用探讨[J].智能计算机与应用,2017,7(1):131-133.
[6]秦志民,刘素珍.高校智慧校园数据交换平台的设计与实现[J].信息技术与标准化,2017(5):76-78.
[7]李川.基于数据挖掘技术下的智慧校园构建分析[J].电脑知识与技术,2017,13(20):10-13.
[8]冯金才.智慧校园大数据安全技术防范[J].电脑知识与技术,2017,13(12):15-16.
[2] Jia Yanmei.Construction and application of intelligent campus in colleges and Uuniversities under the background of big data[C].Advances in Intelligent Systems and Computing,2019:866-872.
[3] Yingkai,Miao.Research on construction of data switching center for intelligence campus[C].IEEE 2nd International Conference on Big Data Analysis(ICBDA),2017:542-545.
[4]高强.基于大数据下的智慧校园建设总体架构模型及典型应用[J].电脑知识与技术,2017,13(21):162-163;170.
[5]黄成兵.大数据环境下高校智慧校园建设应用探讨[J].智能计算机与应用,2017,7(1):131-133.
[6]秦志民,刘素珍.高校智慧校园数据交换平台的设计与实现[J].信息技术与标准化,2017(5):76-78.
[7]李川.基于数据挖掘技术下的智慧校园构建分析[J].电脑知识与技术,2017,13(20):10-13.
[8]冯金才.智慧校园大数据安全技术防范[J].电脑知识与技术,2017,13(12):15-16.