Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)

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A Data-Driven Industrial Internet Operating System for Lean Production and Its Implementation Method

Authors
Zhigang Song1, *
1Inspur Industrial Internet Co., Ltd., Shandong Jinan, China
*Corresponding author. Email: songzhg@inspur.com
Corresponding Author
Zhigang Song
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-058-9_99How to use a DOI?
Keywords
Industrial Internet; Operating system; Intelligent manufacturing; Lean production; Industrial mirroring; Microservices; Process optimization; Equipment efficiency improvement
ABSTRACT

Through the comprehensive interconnection of people, machines and things, the Industrial Internet realizes the comprehensive connection of all elements, the entire industrial chain, and the entire value chain (MIIT 2021). At present, the precipitation of industrial knowledge is relatively difficult. At this stage, there is still a certain threshold for experts to accumulate knowledge independently. It requires continuous guidance, circulation and continuous interaction to obtain it. This paper analyzes the process of industrial manufacturing quality optimization, adopts the research method of spiral optimization to improve production quality, and creates an open "Yunzhou" industrial Internet operating system based on heterogeneous Data connection and control, provide modeling, simulation, optimization, and control services for lean production, continue to accumulate experience and data in the industrial field, form a lean production service model, and output algorithm application APPs such as process improvement and equipment efficiency improvement to achieve online Improve productivity and manufacturing quality.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
Series
Advances in Computer Science Research
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-058-9_99
ISSN
2352-538X
DOI
10.2991/978-94-6463-058-9_99How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Zhigang Song
PY  - 2022
DA  - 2022/12/27
TI  - A Data-Driven Industrial Internet Operating System for Lean Production and Its Implementation Method
BT  - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
PB  - Atlantis Press
SP  - 620
EP  - 628
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-058-9_99
DO  - 10.2991/978-94-6463-058-9_99
ID  - Song2022
ER  -