Digital Twin Technology in Industrial IoT Environments

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ID: 309097
2023
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Ranked #30 of 35 articles by views in International journal of advanced sciences and computing

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Abstract
Digital Twin (DT) technology has emerged as a transformative force in Industrial Internet of Things (IIoT) environments, enabling real-time simulation and optimization of physical assets. This paper explores the integration of DTs within IIoT frameworks, emphasizing their role in predictive maintenance, operational efficiency, and data-driven decision-making. By examining case studies and current implementations, the study highlights the benefits and challenges associated with DT adoption in industrial settings. The research also discusses future directions, including the incorporation of artificial intelligence and edge computing to enhance DT capabilities.
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imported_1761903394_69048322dec3a Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Malik Abdul Rehman
Journal International journal of advanced sciences and computing
Year 2023
DOI
DOI not found
URL
https://ijasc.com/index.php/ijasc/article/view/29
Keywords Keywords not found

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