Construction of Campus Smart Party Building Platform Under the Background of Internet Plus
- DOI
- 10.2991/978-94-6463-012-1_39How to use a DOI?
- Keywords
- Smart Party Building; Web Technology; Demand Analysis; Construction Research
- Abstract
Based on Web technology, this paper builds a campus intelligent party building platform based on B/S architecture. By using the tools of big data technology such as Flum, HDFS, MapReduce, the problems of imperfection and low transparency in campus smart party building work were solved, and the learning methods of party building were also innovated. It not only realizes the diversification of smart party building activities, but also effectively controls and controls the smart party building work, thus ensuring the efficiency and quality of the smart party building work, and further achieving the goal of scientific and modern level. This paper analyzes the demand of the current campus smart party building work from the whole and local perspectives. Based on the significance of internet plus to the construction of the campus smart party building platform, it studies its construction ideas and contents, and solves the current people’s demand, so as to provide reference for the campus smart party building work of colleges and universities.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Kebing Cui PY - 2022 DA - 2022/12/09 TI - Construction of Campus Smart Party Building Platform Under the Background of Internet Plus BT - Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022) PB - Atlantis Press SP - 345 EP - 353 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-012-1_39 DO - 10.2991/978-94-6463-012-1_39 ID - Cui2022 ER -