Next-generation 5G fusion-based intelligent health-monitoring platform for ethylene cracking furnace tube

Delong Cui; Hong Huang; Zhiping Peng; Qirui Li; Jieguang He; Jinbo Qiu; Xinlong Luo; Jiangtao Ou; Chengyuan Fan; Delong Cui; Hong Huang; Zhiping Peng; Qirui Li; Jieguang He; Jinbo Qiu; Xinlong Luo; Jiangtao Ou; Chengyuan Fan

doi:10.3934/mbe.2022426

Mathematical Biosciences and Engineering

2022, Volume 19, Issue 9: 9168-9199. doi: 10.3934/mbe.2022426

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Research article Special Issues

Next-generation 5G fusion-based intelligent health-monitoring platform for ethylene cracking furnace tube

1.
College of Electronic Information Engineer, Guangdong University of Petrochemical Technology, Maoming, China
2.
Jiangmen Polytechnic, China
3.
AI Sensing Technology, Chancheng District, Foshan, China

Academic Editor: Hamid Reza Karimi

Received: 15 March 2022 Revised: 01 June 2022 Accepted: 05 June 2022 Published: 22 June 2022

This study aimed to develop a 5G + "mixed computing" + deep learning-based next-generation intelligent health-monitoring platform for an ethylene cracking furnace tube based on 5G communication technology, with the goal of improving the health management level of the key component of ethylene production, that is, the cracking furnace tube, and focusing on the key common technical difficulties of ethylene production of tube outer-surface temperature sensing and tube slagging diagnosis. It also integrated the edge-fog-cloud "mixed computing" technology and deep learning technology in artificial intelligence, which had a higher degree in the research and development of automation and intelligence, and was more versatile in an industrial environment. The platform included a 5G-based tube intelligent temperature-measuring device, a 5G-based intelligent peep door gearing, a 5G-based edge-fog-cloud collaboration mechanism, and a mixed deep learning-related application. The platform enhanced the automation and intelligence of the enterprise, which could not only promote the quality and efficiency of the enterprise but also protect the safe operation of the cracking furnace device and lead the technological progress and transformation and upgrading of the industry through the application.
- 5G fusion,
- intelligent health-monitoring,
- ethylene cracking furnace tube,
- edge-fog-cloud collaboration mechanism,
- deep learning technology
Citation: Delong Cui, Hong Huang, Zhiping Peng, Qirui Li, Jieguang He, Jinbo Qiu, Xinlong Luo, Jiangtao Ou, Chengyuan Fan. Next-generation 5G fusion-based intelligent health-monitoring platform for ethylene cracking furnace tube[J]. Mathematical Biosciences and Engineering, 2022, 19(9): 9168-9199. doi: 10.3934/mbe.2022426

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Abstract

This study aimed to develop a 5G + "mixed computing" + deep learning-based next-generation intelligent health-monitoring platform for an ethylene cracking furnace tube based on 5G communication technology, with the goal of improving the health management level of the key component of ethylene production, that is, the cracking furnace tube, and focusing on the key common technical difficulties of ethylene production of tube outer-surface temperature sensing and tube slagging diagnosis. It also integrated the edge-fog-cloud "mixed computing" technology and deep learning technology in artificial intelligence, which had a higher degree in the research and development of automation and intelligence, and was more versatile in an industrial environment. The platform included a 5G-based tube intelligent temperature-measuring device, a 5G-based intelligent peep door gearing, a 5G-based edge-fog-cloud collaboration mechanism, and a mixed deep learning-related application. The platform enhanced the automation and intelligence of the enterprise, which could not only promote the quality and efficiency of the enterprise but also protect the safe operation of the cracking furnace device and lead the technological progress and transformation and upgrading of the industry through the application.

References

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