Research on the Application of Information Management System in the Laboratory of Power Generation Enterprises

Authors

  • Wei Chen
  • Shiqi Jin
  • Shuai Yin

DOI:

https://doi.org/10.62051/kk1bdq26

Keywords:

Metrological Calibration; Chemical Testing; Information Management System.

Abstract

Information management systems have achieved many application results in the management of metrological calibration and chemical testing laboratories facing society, but there are few research and application cases that combine the two information systems. The power generation enterprise is equipped with both a metrological calibration laboratory and a chemical testing laboratory. Huadian Laizhou Power Generation Co., Ltd. and Huadian Electric Power Research Institute Co., Ltd. have jointly developed an information system that can manage both laboratory businesses simultaneously. Starting from practical cases, this article discusses the development feasibility of this information system, its differences from conventional laboratory information systems, and the innovation points implemented in the project from the perspectives of information technology and software function settings.

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References

Sun Jingting, Xu Yong, et al., On the Design of Measurement Management Information System [J]. Measurement Technology, 2018,38:198-200.

Hu Bo, Li Jing Research and development of subway measurement management information system. Science and Technology Vision, 2015, (27): 169-169186.

Wen Xu, Wan Min, Luo Jianbin Design and implementation of measurement management information system for aerospace research enterprises. Metrology Technology, 2008 (11): 64-67.

Liu Wei Architecture of Gas Measurement Management Information System for Industrial and Commercial Users. Gas and Heating, 2013,33 (07): 21-23.

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Published

12-10-2023

How to Cite

Chen, W., Jin, S. and Yin, S. (2023) “Research on the Application of Information Management System in the Laboratory of Power Generation Enterprises ”, Transactions on Computer Science and Intelligent Systems Research, 1, pp. 145–150. doi:10.62051/kk1bdq26.