Research on the Construction of University Intelligent Laboratory Based on Big Data Background

Research on the Construction of University Intelligent Laboratory Based on Big Data Background

Access control

Big data

Data mining

Decision support systems

Environmental management

Humidity control

Information management

Laboratories

Wireless sensor networks

With the continuous development of big data in modern education informatization, the content of teaching experiments has become more and more abundant, the types of laboratory equipment have become more diversified, and the overall experiment content is more comprehensive and practical. University laboratory as a key place of university education, because of its more and more high functional requirements for the laboratory construction requirements to standardize, intelligence, information, open, sharing the direction forward. Because of the increase of experimental projects and experimental instruments, the management of laboratories has become cumbersome. The management of modern laboratories is not applicable to the traditional form of manual management. The management of laboratories is also increasingly information-based and intelligent. Based on the research and analysis of laboratory construction and management at home and abroad, this paper designs open intelligent laboratory management measures combined with big data technology, and uses the Internet of Things and big data technology to build a laboratory management system. Building a wireless sensor network for laboratory environmental information collection, the intelligent control and support management of the laboratory can be shown through the intelligent terminal equipment, including access control card, intelligent lighting regulation, temperature and humidity detection, feedback equipment information management and so on. The data mining and analysis of the laboratory is realized by collecting the digital information of the laboratory, which provides decision support for the intelligent management of the laboratory. 2021 IEEE.

156-160

Xiang, Haiyun

5th Annual International Conference on Data Science and Business Analytics, ICDSBA 2021, September 24, 2021 - September 26, 2021

2021

conferencePaper

10.1109/ICDSBA53075.2021.00041

http://dx.doi.org/10.1109/ICDSBA53075.2021.00041