基于“云物大智”平台的高校后勤管理智慧化建设探索

创新创业理论研究与实践 ›› 2020, Vol. 3 ›› Issue (10): 122-123.

基于“云物大智”平台的高校后勤管理智慧化建设探索

孙猛

湖北交通职业技术学院,湖北武汉 430079

出版日期:2020-05-25 发布日期:2020-10-22
作者简介:孙猛(1983,12-),男,河南南阳人,硕士,研究方向: 高校后勤、智慧化建设。
基金资助:
《新时代新校区学校现代化后勤管理体制机制研究》（项目编号: 鄂交职院【2018】71号Z2018003）的研究成果。

Research on the Intelligent Construction of Logistics Management in Colleges and Universities based on the Platform of "Cloud Computing, Internet of Things, Big Data, Artificial Intelligence"

SUN Meng

Hubei Communications Technical College, Wuhan Hubei, 430079, China

Online:2020-05-25 Published:2020-10-22

摘要/Abstract

摘要： 随着现代信息技术的发展和广泛应用,各大高校都在积极推进“智慧后勤”建设,逐步加大互联网技术在后勤服务中的投入,高校后勤服务方式、管理内容和发展理念正在发生着变化。伴随着云计算、物联网、大数据和人工智能等新技术的发展,使得高校后勤智慧化在技术上得到保障。高校后勤智慧化发展应该紧贴新时代师生需求,充分应用“云物大智”平台,实现“汗水后勤”向“智慧后勤”转变。

关键词: 云物大智, 高校后勤, 智慧化建设

Abstract: With the development and wide application of modern information technology, Universities are actively promoting the construction of "intelligent logistics",Gradually increasing the input of Internet technology in logistics services, Changes are taking place in the service mode, management content and development concept of university logistics. With the development of new technologies such as cloud computing, Internet of things, big data and artificial intelligence, the intelligence of university logistics has been ensured technically. The development of logistics intelligence in colleges and universities should keep up with the needs of teachers and students in the new era, and make full use of the platform of "Cloud computing,Internet of things,big data,Artificial intelligence" to realize the transformation from "sweat logistics" to "intelligent logistics" .

Key words: Cloud computing Internet of things big data Artificial intelligence, College logistics, Intelligent construction

中图分类号:

G647.4

孙猛. 基于“云物大智”平台的高校后勤管理智慧化建设探索[J]. 创新创业理论研究与实践, 2020, 3(10): 122-123.

SUN Meng. Research on the Intelligent Construction of Logistics Management in Colleges and Universities based on the Platform of "Cloud Computing, Internet of Things, Big Data, Artificial Intelligence"[J]. The Theory and Practice of Innovation and Enntrepreneurship, 2020, 3(10): 122-123.