基于大数据技术的高校智能后勤精细化管理系统分析及设计

Analysis and Design of a Refined Management System for Intelligent Logistics in Universities Based on Big Data Technology

后勤保障在高校运行中具有举足轻重的作用,《智慧校园总体框架》(GB/T 36342—2018)对高校后勤管理提出了新要求,开发基于大数据技术的高校智能后勤精细化管理系统可以满足师生对更高品质后勤服务的需要。分析大数据技术应用于高校智能后勤精细化管理系统的可行性及业务需求,进行系统架构、实现设计,以期为高校后勤服务智能化发展提供参考。

The logistics support plays a crucial role in the operation of universities.The Smart Campus Overall Framework(GB/T 36342—2018)has put forward new requirements for logistics development in universities.Developing a refined management system for intelligent logistics in universities based on big data technology will meet the needs of teachers and students for higher quality logistics services.This article analyzes the feasibility and requirements of applying big data technology to the refined management system for intelligent logistics in universities,and designs the overall architecture,system architecture,and system implementation,providing a reference for the intelligent development of logistics services in universities.