4.6 Article

Federated Learning and Blockchain-Enabled Intelligent Manufacturing for Sustainable Energy Production in Industry 4.0

期刊

PROCESSES
卷 11, 期 5, 页码 -

出版社

MDPI
DOI: 10.3390/pr11051482

关键词

blockchain; federated learning; intelligent manufacturing; sustainable energy

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Intelligent manufacturing under Industry 4.0 integrates advanced technologies and artificial intelligence for sustainable production. This article introduces a method called Sustainable Production concerned with External Demands (SP-ED), which focuses on energy production and distribution for flawless and outage-less supply. It combines Ethereum blockchain monitoring and federated learning to ensure production and demand satisfaction. Through demand distribution validation and sustainability identification, blockchain records are used to handle failing conditions and modify production plans. FL and blockchain integration achieve sustainability for internal and external demands.
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.

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