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Implementation of Smart Campus Platform under Big Data Background

Jia Zhao

Abstract


Under the background of rapid development of information data, the emergence of big data provides more convenience for study, work and life. The intelligent campus platform relying on information technology such as big data can give full play to the advantages of big data, promote the modernization of campus with the help of network platform, and lay the foundation for the improvement of teaching management level and the expansion of teaching resources, this paper focuses on the analysis of the various functions of the smart campus platform and the core technical content of the construction of the smart campus platform, including big data technology, cloud computing technology and Internet of Things technology, etc., combined with the actual needs of the current smart campus platform construction, the platform implementation strategy is proposed, hoping to provide some references for the construction of the smart campus platform, and then provide intelligent services for school teaching, teaching management, etc, to improve the effi ciency of school management.

Keywords


Big data; Smart campus; Implementation strategy

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References


[1] Liao Haisheng. Research on Design of Intelligent Campus Security Control Platform Based on Big Data Technology [J]. Computer Measurement and Control, 2021,29(10):133-138,186.

[2] Ouyang Xiaoxian. Exploration of Intelligent Campus Network Platform Construction under the Background of Analyzing Big Data [J]. China New Communications, 2021,23(12):61-62.

[3] Zhou Xin, Liu Peipei. Research on the Construction of Smart Campus Cloud Service Platform Based on Big Data Computer System [J]. Computer Knowledge and Technology, 2020,16(34):174-176.

[4] Yang Rui. Innovative Construction and Application of Smart Campus Supported by Education Big Data Platform [J]. Wireless Internet Technology, 2020,17(13):157-158.

[5] Guo Shuang. Construction of Smart Campus Cloud Service Platform Based on Big Data Computer System [J]. Computer Procurement, 2020(29):5-6.




DOI: http://dx.doi.org/10.18686/ahe.v7i8.7819

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