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DigitalPlantMan: A Multi Process Manufacturing Task Management System for Digital Plant

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Internet of Things – ICIOT 2023 (ICIOT 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14208))

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Abstract

In recent years, with the rapid development of the new generation of information technology and the acceleration of economic globalization, all industries and enterprises are facing the urgent need of digital transformation. The implementation of a digital plant production management system has become a major boost to industry transformation and development. Leveraging contemporary computer technology and integrating it with traditional manufacturing processes can enhance process intelligence and management efficiency. In pursuit of implementing such a system, our research has designed and developed a multi process manufacturing task management system - DigitalPlantMan for digital plant, utilizing cutting-edge software development frameworks like Spring Boot and Vue. This paper presents the step-by-step system development process which includes an analysis of system requirements, functional design, database design, and implementation of each system module. Finally, testing results indicate that the system facilitates efficient business collaboration on a unified platform, thereby assisting enterprises in enhancing their digital and intelligent manufacturing capabilities to achieve safety, greenness, efficiency, and flexibility.

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Acknowledgment

This work is supported by the National Key R&D Program of China (No. 2021YFB3300200), National Natural Science Foundation of China (No. 92267105), Guangdong Special Support Plan (No. 2021TQ06X990), Shenzhen Basic Research Program (No. JCYJ20200109115418592, JCYJ20220818101610023).

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Authors and Affiliations

  1. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China

    Hongyu Tian & Kejiang Ye

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Hongyu Tian

  3. College of Mathematics and Information Science, Hebei University, Baoding, 071002, China

    Yuan Wang

Authors
  1. Hongyu Tian
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  2. Yuan Wang
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  3. Kejiang Ye
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Corresponding author

Correspondence to Kejiang Ye .

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Editors and Affiliations

  1. Chinese Academic of Sciences, Beijing, China

    Kejiang Ye

  2. Shenzhen Entrepreneurship and Innovation Federation, Shenzhen, China

    Liang-Jie Zhang

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Tian, H., Wang, Y., Ye, K. (2024). DigitalPlantMan: A Multi Process Manufacturing Task Management System for Digital Plant. In: Ye, K., Zhang, LJ. (eds) Internet of Things – ICIOT 2023. ICIOT 2023. Lecture Notes in Computer Science, vol 14208. Springer, Cham. https://doi.org/10.1007/978-3-031-51734-1_6

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  • DOI: https://doi.org/10.1007/978-3-031-51734-1_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-51733-4

  • Online ISBN: 978-3-031-51734-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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