Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China

Research Article

Design and Development of University Smart Campus Platform Based on Big Data

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  • @INPROCEEDINGS{10.4108/eai.6-1-2023.2330349,
        author={Daigen  Huang},
        title={Design and Development of University Smart Campus Platform Based on Big Data},
        proceedings={Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China},
        publisher={EAI},
        proceedings_a={BDEDM},
        year={2023},
        month={6},
        keywords={big data smart campus hadoop data analysis computer application},
        doi={10.4108/eai.6-1-2023.2330349}
    }
    
  • Daigen Huang
    Year: 2023
    Design and Development of University Smart Campus Platform Based on Big Data
    BDEDM
    EAI
    DOI: 10.4108/eai.6-1-2023.2330349
Daigen Huang1,*
  • 1: Sichuan University of Culture and Arts
*Contact email: 543948894@qq.com

Abstract

Under the background of the in-depth development of digital society, the informatization process of colleges and universities will gradually change to intelligence and intelligence, and the new generation of information technology represented by big data technology has become the core force of building a "smart campus". In this regard, this paper takes the overall architecture of "Smart Campus" as the research object, and comprehensively integrates the practical characteristics of big data technology, network information technology and computer application technology. On the one hand, Hadoop cluster is used to build a data analysis and processing server. On the other hand, we will design a Web-based intelligent campus application service platform based on J2EE technical specifications. The whole platform adopts B/S architecture design, and the Web Server completes the control of various business logics and the configuration of corresponding API data interfaces, which facilitates users to query and call many data resources such as teaching, scientific research, student behavior, campus management, etc. through simple interactive operation of front-end pages.