ArticleJournal of advanced research2024
Digital twins for building industrial metaverse.
Article in Journal of advanced research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 59 citations in OpenAlex.
- Real-Time Digital Twin Architecture for Immersive Industrial Automation Training.Sensors (Basel, Switzerland) · 2026Article
- Ultrasonic Sensor Modeling with Support Vector Regression.Sensors (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe concept of the metaverse, a virtual world where users can interact with a computer-generated environment, has received significant attention recently.
objectivesThis study aims to investigate the application and fundamental technologies of Digital Twins (DT) in the development of the industrial metaverse, to enhance factory production efficiency.
methodsThe study adopts a literature review approach to explore the architecture and key technologies of the industrial metaverse, including DT, cloud rendering, virtual-real interaction, big data visualization, and the Internet of Things. Firstly, this study analyzes the architecture and key technologies of the Industrial Metaverse, which encompass DT, cloud rendering, virtual-reality interaction, big data visualization, and the Internet of Things (IoT). These technologies are essential components in enabling the transformation from traditional manufacturing paradigms to intelligent manufacturing within the industrial metaverse. Secondly, this study investigates the key technological aspects that support DT in the industrial metaverse. It highlights the crucial role played by DT in facilitating the advancement and realization of intelligent manufacturing.
resultsThe study finds that DT plays a crucial role in the industrial metaverse, enabling the creation of virtual replicas of physical assets that can be monitored and analyzed in real-time.
conclusionThe development of the industrial metaverse holds significant potential for the industrial sector, providing a platform for optimizing and improving manufacturing processes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.