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Application of Laboratory Data Decision Management System

Received: 25 December 2021     Published: 29 December 2021
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Abstract

With the rapid development of big data information technology and the in-depth application of network technology, information management has been widely used in the management of colleges and universities. The experimental teaching mode of colleges and universities has been transformed from traditional experience teaching and computer-aided teaching to data-driven teaching mode. On the basis of the original computer laboratory management system, it extends the personalized service functions such as intelligent access control, computer management, laboratory opening and booking, experimental arrangement management, experimental equipment management, experimental data management, attendance management, system management and basic data management. By collecting, storing and analyzing relevant data, a data decision subsystem is established. Data contains a lot of valuable information, which can provide guidance for experimental teaching and teacher teaching, improve the efficiency of experimental teaching, and better serve teachers and students. The purpose of the research and analysis of this system is to solve the problems existing in the traditional management mode, through information management can effectively improve the utilization rate of experimental instruments and equipment; It can reduce the working intensity of the experimentalists and improve the management efficiency. Through research and analysis, determine the system structure including business analysis, functional analysis and data analysis. In the process of business analysis, the original business process analysis and business process optimization analysis are adopted to provide powerful data support for the management of computer experiment teaching in colleges and universities.

Published in American Journal of Information Science and Technology (Volume 5, Issue 4)
DOI 10.11648/j.ajist.20210504.14
Page(s) 104-108
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Big Data, Laboratory Management System, Personalized Service Function

References
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  • APA Style

    Sun Zhimin, Wang Zhengjia, Zhou Zhijun. (2021). Application of Laboratory Data Decision Management System. American Journal of Information Science and Technology, 5(4), 104-108. https://doi.org/10.11648/j.ajist.20210504.14

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    ACS Style

    Sun Zhimin; Wang Zhengjia; Zhou Zhijun. Application of Laboratory Data Decision Management System. Am. J. Inf. Sci. Technol. 2021, 5(4), 104-108. doi: 10.11648/j.ajist.20210504.14

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    AMA Style

    Sun Zhimin, Wang Zhengjia, Zhou Zhijun. Application of Laboratory Data Decision Management System. Am J Inf Sci Technol. 2021;5(4):104-108. doi: 10.11648/j.ajist.20210504.14

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  • @article{10.11648/j.ajist.20210504.14,
      author = {Sun Zhimin and Wang Zhengjia and Zhou Zhijun},
      title = {Application of Laboratory Data Decision Management System},
      journal = {American Journal of Information Science and Technology},
      volume = {5},
      number = {4},
      pages = {104-108},
      doi = {10.11648/j.ajist.20210504.14},
      url = {https://doi.org/10.11648/j.ajist.20210504.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajist.20210504.14},
      abstract = {With the rapid development of big data information technology and the in-depth application of network technology, information management has been widely used in the management of colleges and universities. The experimental teaching mode of colleges and universities has been transformed from traditional experience teaching and computer-aided teaching to data-driven teaching mode. On the basis of the original computer laboratory management system, it extends the personalized service functions such as intelligent access control, computer management, laboratory opening and booking, experimental arrangement management, experimental equipment management, experimental data management, attendance management, system management and basic data management. By collecting, storing and analyzing relevant data, a data decision subsystem is established. Data contains a lot of valuable information, which can provide guidance for experimental teaching and teacher teaching, improve the efficiency of experimental teaching, and better serve teachers and students. The purpose of the research and analysis of this system is to solve the problems existing in the traditional management mode, through information management can effectively improve the utilization rate of experimental instruments and equipment; It can reduce the working intensity of the experimentalists and improve the management efficiency. Through research and analysis, determine the system structure including business analysis, functional analysis and data analysis. In the process of business analysis, the original business process analysis and business process optimization analysis are adopted to provide powerful data support for the management of computer experiment teaching in colleges and universities.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Application of Laboratory Data Decision Management System
    AU  - Sun Zhimin
    AU  - Wang Zhengjia
    AU  - Zhou Zhijun
    Y1  - 2021/12/29
    PY  - 2021
    N1  - https://doi.org/10.11648/j.ajist.20210504.14
    DO  - 10.11648/j.ajist.20210504.14
    T2  - American Journal of Information Science and Technology
    JF  - American Journal of Information Science and Technology
    JO  - American Journal of Information Science and Technology
    SP  - 104
    EP  - 108
    PB  - Science Publishing Group
    SN  - 2640-0588
    UR  - https://doi.org/10.11648/j.ajist.20210504.14
    AB  - With the rapid development of big data information technology and the in-depth application of network technology, information management has been widely used in the management of colleges and universities. The experimental teaching mode of colleges and universities has been transformed from traditional experience teaching and computer-aided teaching to data-driven teaching mode. On the basis of the original computer laboratory management system, it extends the personalized service functions such as intelligent access control, computer management, laboratory opening and booking, experimental arrangement management, experimental equipment management, experimental data management, attendance management, system management and basic data management. By collecting, storing and analyzing relevant data, a data decision subsystem is established. Data contains a lot of valuable information, which can provide guidance for experimental teaching and teacher teaching, improve the efficiency of experimental teaching, and better serve teachers and students. The purpose of the research and analysis of this system is to solve the problems existing in the traditional management mode, through information management can effectively improve the utilization rate of experimental instruments and equipment; It can reduce the working intensity of the experimentalists and improve the management efficiency. Through research and analysis, determine the system structure including business analysis, functional analysis and data analysis. In the process of business analysis, the original business process analysis and business process optimization analysis are adopted to provide powerful data support for the management of computer experiment teaching in colleges and universities.
    VL  - 5
    IS  - 4
    ER  - 

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Author Information
  • Academic Affairs Office, Hebei Agricultural University, Baoding, China

  • Computer Center, Hebei Agricultural University, Baoding, China

  • Experimental Training Center, Hebei Agricultural University, Baoding, China

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