天津科技 ›› 2023, Vol. 50 ›› Issue (10): 9-12.

• 管理与创新 • 上一篇    下一篇

基于大数据技术的高校后勤智能化管理探索与实践

刘然, 程曼   

  1. 天津电子信息职业技术学院 天津 300350
  • 收稿日期:2023-10-09 出版日期:2023-10-25 发布日期:2023-12-26

Exploration and Practice of Intelligent Management of University Logistics Based on Big Data Technology

LIU Ran, CHENG Man   

  1. Tianjin Electronic Information College,Tianjin 300350,China
  • Received:2023-10-09 Online:2023-10-25 Published:2023-12-26

摘要: 随着高校规模的扩大,各高校在校师生的数量不断增加,传统的后勤管理方式已不能满足师生对更高品质后勤服务的需要。大数据技术的发展和应用为高校后勤开展智能化管理和提高后勤服务质量提供了先进技术保障。通过分析高校后勤智能化管理现状,总结了大数据技术应用于后勤智能化管理的意义,并对基于大数据技术的高校后勤智能化管理建设目标、功能需求分析、逻辑运行构架进行了探索,为大数据技术应用于高校后勤智能化服务管理提供了一定参考。

关键词: 大数据技术, 高校后勤, 智能化管理

Abstract: With the expansion of the scale of universities,the number of teachers and students in universities has gradually increased,and the traditional logistics management mode can no longer meet the needs of teachers and students for higher quality logistics services. The development and application of big data technology provides advanced technical support for the intelligent management of university logistics and the improvement of the quality of logistics services. This paper summarizes the significance of applying big data technology to intelligent logistics management by analyzing the current situation of intelligent logistics management in universities,and explores the construction objectives,functional requirements analysis and logical operation framework of intelligent logistics management in universities based on big data technology,providing a certain reference for the application of big data technology to intelligent logistics services in universities.

Key words: big data technology, university logistics, intelligent management

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