Abstract

This study relates to the establishment of a virtual reality training system that can reproduce various forest fire situations in a limited indoor space and evaluate the training results quantitatively for fire suppression and evacuation situations of forest fire extinguishers. For individual and team training of firefighters in a virtual space, it is necessary to create SOP-based various forest fire scenario scenarios and training evaluation tools for the development of virtual training contents S/W. In this study, first, a method for creating a standard scenario for virtual reality forest fire extinguishing training was presented and a standard scenario was presented. Scenarios were standardized to be prepared according to 4 types of forest fire environmental data, 4 types of firefighting environmental data, and training difficulty level. Forest fire environmental data was defined as 4 types of forest fire site spatial environment, forest fuel environment, meteorological environment, and fire environment. It was made possible to set the difficulty level of fire drills using 8 types of scenario configuration data. In the survey on the suitability of firefighters for the standard scenario content, it was found to be 95.8±2.5%. In the second scenario-based training competency evaluation tool, forest fire extinguisher CTA (Cognitive Task Analysis) job analysis was conducted to systemize the evaluation items for task performance, mutual cooperation and reporting system for each scenario staged event. Using the CTA model, job structure analysis was conducted on the professional characteristics, procedural skills, best mission performance, and cognitive process for maximizing the training effect of the firefighters. Based on this, a virtual training evaluation item and evaluation score table for each firefighter according to the scenario-based mission performance stage were prepared. In the evaluation of the suitability of the firefighters for each item's evaluation content and points, it was found to be 93.5±2.5% and 97.5±2.5%, respectively.

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