Artificial Intelligence-based Internet of Manufacturing Things Systems, Digital Twin Data Modeling and Visualization Tools, and Multi-Sensory Extended Reality and Geospatial Mapping Technologies in the Immersive Industrial Metaverse.

• Author: Barker, Michael

1. Introduction

   3D generative modeling and image recognition tools, cognitive enhancement and deep learning-based sensing technologies, and artificial vision and immersive visualization systems assist Internet of Things sensing infrastructures in the metaverse interactive environment. The purpose of my systematic review is to examine the recently published literature on the immersive industrial metaverse and integrate the insights it configures on artificial intelligence-based Internet of Manufacturing Things systems, digital twin data modeling and visualization tools, and multi-sensory extended reality and geospatial mapping technologies. By analyzing the most recent (2022-2023) and significant (Web of Science, Scopus, and ProQuest) sources, my paper has attempted to prove that digital twin modeling and simulation tools, synthetic data interoperability, and multi-sensory tracking and immersive geospatial data visualization technologies articulate immersive and interactive virtual environments. The actuality and novelty of this study are articulated by addressing 3D digital twin factories, blockchain-based digital asset management and multi-sensor fusion systems, and metaverse virtual services, that is an emerging topic involving much interest. My research problem is whether realistic virtual simulation environments develop on distributed sensor and virtual plant floor networks, metaverse digital asset management, and mobile device and motion capture technologies.

   In this review, prior findings have been cumulated indicating that multi-sensory user experiences can be achieved across interconnected digital realms by use of text mining and big geospatial data analytics (Kliestik et al., 2022), image recognition and synthetic data tools (Machova et al., 2022), and monitoring and sensing technologies. The identified gaps advance remote sensing and image processing computational algorithms (Zvarikova et al., 2023), visual and spatial intelligence tools (Grupac and Lazaroiu, 2022), and eye-tracking and virtual twin technologies. My main objective is to indicate that cognitive computing and biometric authentication systems, big spatiotemporal data and deep learning-based sentiment analytics, and geospatial mapping and image recognition technologies (Valaskova et al., 2022) enable the virtual environment of the metaverse.

2. Theoretical Overview of the Main Concepts

   Geospatial mapping and real-time data tracking tools, virtual reality-based immersive and cognitive enhancement technologies, and real-time predictive and user journey analytics are pivotal in a fully connected metaverse. Brain-inspired artificial intelligence and spatio-temporal fusion algorithms, digital twinning and cognitive automation technologies, and automated speech recognition and data visualization tools assist the decentralized metaverse. The manuscript is organized as following: theoretical overview (section 2), methodology (section 3), remote sensing and image processing computational algorithms, mobile device and motion capture technologies, and visual and spatial intelligence tools in the industrial metaverse (section 4), 3D generative modeling and image recognition tools, edge computing and augmented reality technologies, and human digital twin and geospatial big data visualization systems in the industrial metaverse (section 5), 3D path planning and geolocation data processing algorithms, immersive holographic imaging and digital twin technologies, empathetic computing and visual sensor systems in the industrial metaverse (section 6), discussion (section 7), synopsis of the main research outcomes (section 8), conclusions (section 9), limitations, implications, and further directions of research (section 10).

3. Methodology

   I carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout January 2023, with search terms including "the immersive industrial metaverse" + "artificial intelligence-based Internet of Manufacturing Things systems," "digital twin data modeling and visualization tools," and "multi-sensory extended reality and geospatial mapping technologies." As I analyzed research published between 2022 and 2023, only 146 papers met the eligibility criteria. By removing controversial or unclear findings (scanty/unimportant data), results unsupported by replication, undetailed content, or papers having quite similar titles, I decided on 24, chiefly empirical, sources (Tables 1 and 2). Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Distiller SR, ROBIS, and SRDR (Figures 1-6).

4. Remote Sensing and Image Processing Computational Algorithms, Mobile Device and Motion Capture Technologies, and Visual and Spatial Intelligence Tools in the Industrial Metaverse

   Metaverse engagement metrics, virtual mapping and deep learning artificial intelligence tools, and computer vision and spatio-temporal fusion algorithms (Calandra et al., 2023; Durana et al., 2022; Tlili et al., 2023) are instrumental in immersive 3D virtual environments. Multisensory user experiences can be achieved across interconnected digital realms by use of text mining and big geospatial data analytics, image recognition and synthetic data tools, and monitoring and sensing technologies.

   Remote sensing and image processing computational algorithms, visual and spatial intelligence tools, and eye-tracking and virtual twin technologies (Chang et al., 2022; Gajdosikova et al., 2022; Roy et al., 2023) optimize 3D immersive environments and the industrial metaverse. Realistic virtual simulation environments develop on distributed sensor and virtual plant floor networks, metaverse digital asset management, and mobile device and motion capture technologies.

   Hyper-immersive simulated environments (Cho et al., 2023; Nagy et al., 2022a; Rejeb et al., 2023) necessitate 3D digital twin factories, blockchain-based digital asset management and multi-sensor fusion systems, and metaverse virtual services. Real-time digital avatars, preventive and predictive maintenance tools, and image-based visual computing and multi-sensory extended reality technologies...