实验室研究与探索2024,Vol.43Issue(2) :226-230.DOI:10.19927/j.cnki.syyt.2024.02.045

基于"云计算+物联网"的高校智慧实验室探索与实践

Exploration and Practice of Smart Laboratories in Universities Based on"Cloud Computing+Internet of Things"

吴青林 王焱
实验室研究与探索2024,Vol.43Issue(2) :226-230.DOI:10.19927/j.cnki.syyt.2024.02.045

基于"云计算+物联网"的高校智慧实验室探索与实践

Exploration and Practice of Smart Laboratories in Universities Based on"Cloud Computing+Internet of Things"

吴青林 1王焱2
扫码查看

作者信息

  • 1. 武汉大学信息管理学院,武汉 430072;武汉商学院信息工程学院,武汉 430056
  • 2. 武汉商学院信息工程学院,武汉 430056
  • 折叠

摘要

针对当前高校实践教学中设备管理、安全管理、环境管理、资源管理等方面的问题,充分发挥人工智能时代新兴技术的优势,基于"云计算和物联网"技术整合实验室软硬件资源,解决高校实验教学的痛点.首先分析了传统实验室存在的问题和不足,阐述了人工智能时代高校智慧实验室的功能定位,并对高校智慧实验室架构进行了剖析,将EHS理念融入高校智慧实验室的构建与管理,降低实验室后期的维护成本,提升了实验室管理效率和安全性.最后对高校智慧实验室的未来发展进行了展望.

Abstract

In order to solve the problems of equipment management,safety management,environmental management,and resource management in practical teaching at current universities,we fully utilize the new generation technology advantages in the era of artificial intelligence,and specifically integrate laboratory software and hardware resources to resolve the pain points in university experimental teaching based on"cloud computing and the Internet of Things"technology.The problems of traditional laboratories are analyzed,the functional positioning of university smart laboratories in the era of artificial intelligence is expounded,the structure of university smart laboratories is analyzed,and the concept of EHS is integrated into the construction and management of university smart laboratories.Finally,the future development of smart laboratories in universities is prospected.The construction of smart laboratories in universities is conducive to reducing the maintenance cost of the laboratory in the later stage,and improving the efficiency and safety of laboratory management.

关键词

云计算/物联网/智慧实验室/人工智能/EHS理念

Key words

cloud computing/Internet of Things/smart laboratory/artificial intelligence/environment health and safety(EHS)idea

引用本文复制引用

基金项目

教育部产学研协同育人项目(202102078016)

出版年

2024
实验室研究与探索
上海交通大学

实验室研究与探索

CSTPCD北大核心
影响因子:1.69
ISSN:1006-7167
参考文献量15
段落导航相关论文