Design of Industrial Internet Cloud Platform System Based on Layout Application
Authors: 
Jun Ji, Jian Cui, and Guanhong ChengAuthors Info & Claims
Jun Ji, Jian Cui, and Guanhong ChengAuthors Info & ClaimsSeptember 2023
Pages 279 - 282
Abstract
The industrial internet supports the development of the digital economy. This article is based on the industrial layout application field and adopts the industrial internet private cloud platform to build a system functional architecture and technical architecture, achieving the functions of on-site control system module, information collection module, layout optimization algorithm module, and intrusion detection module. This paper first investigates the application situation in the field of industrial layout applications, finds effective cloud platform design solutions, and then verifies the feasibility of the solutions through commonly used enterprise cases.
References
[1]
Ruibing Guo, Jun Zhao.The Threshold Effect Test of the Impact of Industrial Internet Development on the Upgrading of China's Manufacturing Industry[J]. Statistics & Decision, 2022, 38(04): 135-138.
[2]
Yurong Wang, Yuting Duan, Sufan Zhuo. The Impact of Industrial Internet on Enterprise Digital Innovation: A Dual Difference Verification Based on propensity score matching[J]. Science & Technology Progress and Policy, 2022, 39(08): 89-98.
[3]
TUMBAS S, BE༲ENTE N, B༲OCKE J.Digital Innovation and Institutional Entrepreneurship:Chief Digital Officer Perspectives of Their Emerging༲ole༻J༽.Journal of Information Technology, 2018, 33(3):188−202.
[4]
Sun Dawei, Chang Guiran, Miao Changsheng, etal. Analyzing, modelling and evaluating dynamic adaptive fault tolerance strategies in cloud computing environments [J], Journal of Security and Networks, 2012, 66(1), 193-228.
[5]
Ernst F, Frische P. Industry 4.0/industrial internet of things-related technologies and requirements for a successful digital transformation: An investigation of manufacturing businesses worldwide [J]. Social Science Electronic Publishing, 2015. 34:35-38
[6]
Adms M, Bearly S, Bills D, An introduction to designing reliable cloud services. 2014 [2019-04-04]. Https://www.microsoft. com/en-au/download/details.aspx?id=34683.
[7]
Yaoyi Zhang. The Ecological Governance Logic of Manufacturing Industry Transformation and Upgrading: From the Perspective of Industrial Internet[J]. Technoeconomics & Management Research, 2017 (11): 102-107.
[8]
Albukhitan S. Developing digital transformation strategy for manufacturing [J]. Procedia Computer Science, 2020, 170:664-671.
[9]
Bao Zhijia. Intelligent Building Gateway Design Based on Edge Computing [J]. Integrated circuit applications. 2022 (01): 234-237.
[10]
Bilgeri D, Wortmann F, Fleisch E. How digital transformation affects large manufacturing companies’ organization[EB/OL], 2017.
Index Terms
- Design of Industrial Internet Cloud Platform System Based on Layout Application
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Published In
September 2023
577 pages
ISBN:9798400716362
DOI:10.1145/3660395
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
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Published: 01 June 2024
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AIBDF 2023
AIBDF 2023: 2023 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum
September 22 - 24, 2023
Guangzhou, China
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