LAPSE:2023.36010
Published Article
LAPSE:2023.36010
Federated Learning and Blockchain-Enabled Intelligent Manufacturing for Sustainable Energy Production in Industry 4.0
Fanglei Sun, Zhifeng Diao
June 7, 2023
Intelligent manufacturing under Industry 4.0 assimilates sophisticated technologies and artificial intelligence for sustainable production and outcomes. Blockchain paradigms are coined with Industry 4.0 for concurrent and well-monitored flawless production. This article introduces Sustainable Production concerned with External Demands (SP-ED). This method is more specific about energy production and the distribution for flawless and outage-less supply. First, the energy demand is identified for internal and external users based on which sustainability is planned. Secondly, Ethereum blockchain monitoring for a similar production and demand satisfaction is coupled with the production system. From two perspectives, the monitoring and condition satisfaction processes are validated using federated learning (FL). The perspectives include demand distribution and production sustainability. In the demand distribution, the condition of meeting the actual requirement is validated. Contrarily, the flaws in internal and external supply due to production are identified in sustainability. The failing conditions in both perspectives are handled using blockchain records. The blockchain records reduce flaws in the new production by modifying the production plan according to the federated learning verifications. Therefore, the sustainability for internal and external demands is met through FL and blockchain integration.
Keywords
blockchain, federated learning, intelligent manufacturing, Renewable and Sustainable Energy
Suggested Citation
Sun F, Diao Z. Federated Learning and Blockchain-Enabled Intelligent Manufacturing for Sustainable Energy Production in Industry 4.0. (2023). LAPSE:2023.36010
Author Affiliations
Sun F: School of Creativity and Art, Shanghai Tech University, Shanghai 201210, China
Diao Z: College of Design and Innovation, Tongji University, Shanghai 200092, China
Journal Name
Processes
Volume
11
Issue
5
First Page
1482
Year
2023
Publication Date
2023-05-12
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr11051482, Publication Type: Journal Article
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LAPSE:2023.36010
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doi:10.3390/pr11051482
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Jun 7, 2023
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CC BY 4.0
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[v1] (Original Submission)
Jun 7, 2023
 
Verified by curator on
Jun 7, 2023
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https://psecommunity.org/LAPSE:2023.36010
 
Original Submitter
Calvin Tsay
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