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HydroVerse VR Equipment Hub: An Integrated Virtual Reality Framework  for Training and Workforce Development in Environmental Monitoring

HydroVerse VR Equipment Hub: An Integrated Virtual Reality Framework for Training and Workforce Development in Environmental Monitoring

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Authors

Ali Rahmani, Yusuf Sermet, Ibrahim Demir

Abstract

Environmental monitoring is critical for managing ecosystems and addressing global challenges such as climate change and pollution. However, training professionals in this field is often hampered by remote locations, hazardous field conditions, and limited access to specialized equipment. In response, this paper presents the HydroVerse VR Equipment Hub, an immersive virtual reality framework for training and workforce development in environmental monitoring. This platform provides a safe, interactive learning environment that bridges theoretical knowledge with hands-on practice. It integrates extended reality (XR) technology, photogrammetry-based 3D models of monitoring devices, and artificial intelligence tools—such as the Meta VoiceSDK for voice-guided interaction—to create a dynamic and engaging training experience. Key features include specialized modules for exploring sensor components, practicing equipment troubleshooting, and simulating field deployment scenarios within realistic virtual environments. This approach enables users to safely assemble and calibrate virtual sensors, diagnose faults, and perform monitoring tasks, thereby building technical proficiency and confidence while avoiding the risks and constraints of on-site training. Importantly, the system trains users on existing environmental monitoring devices rather than altering those devices, ensuring that skills learned are directly transferable to real equipment. By enabling experimentation with diverse scenarios and providing immediate feedback (e.g., through voice-guided assistance), the HydroVerse Hub allows trainees to refine their problem-solving strategies before real-world implementation. This immersive training approach has the potential to enhance environmental science education, improve workforce readiness, and inspire similar training innovations in related technical fields.

DOI

https://doi.org/10.31223/X54J2X

Subjects

Adult and Continuing Education, Computer Engineering, Educational Methods, Engineering Education, Environmental Education, Environmental Engineering, Environmental Monitoring

Keywords

virtual reality, extended reality, learning technology, troubleshooting, environmental monitoring, sensors, IoT

Dates

Published: 2025-10-22 02:12

Last Updated: 2025-10-22 02:12

License

CC BY Attribution 4.0 International

Additional Metadata

Data Availability (Reason not available):
No new data were created or analyzed in this study. Data sharing is not applicable to this article.