Dynamic Data-Driven Digital Twin Testbed for Enhanced First Responder Training and Communication
Alyssa Cassity, Hieu Le, Hernan Santos, Erik Priest, and Jian Tao

TL;DR
This paper presents a digital twin testbed that simulates wireless communication and training scenarios for first responders, enhancing safety and efficiency during emergencies through realistic virtual environments.
Contribution
It introduces a novel digital twin environment built with real-world data and Unreal Engine to improve first responder training and communication analysis.
Findings
Effective virtual communication analysis during simulated incidents
Realistic reconstruction of training facilities using photo-reference
Enhanced training capabilities through interactive digital environments
Abstract
The study focuses on developing a digital twin testbed tailored for public safety technologies, incorporating simulated wireless communication within the digital world. The integration enables rapid analysis of signal strength, facilitating effective communication among personnel during catastrophic incidents in the virtual environment. The virtual world also helps with the training of first responders. The digital environment is constructed using the actual training facility for first responders as a blueprint. Using the photo-reference method, we meticulously constructed all buildings and objects within this environment. These reconstructed models are precisely placed relative to their real-world counterparts. Subsequently, all structures and objects are integrated into the Unreal Engine (UE) to create an interactive environment tailored specifically to the requirements of first…
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Taxonomy
TopicsDigital Transformation in Industry
