Dynamic Data-Driven Digital Twin Testbed for Enhanced First Responder Training and Communication

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 responders.