Issue |
E3S Web Conf.
Volume 592, 2024
International Scientific Conference Energy Management of Municipal Facilities and Environmental Technologies (EMMFT-2024)
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|
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Article Number | 05016 | |
Number of page(s) | 8 | |
Section | Mining, Geology, Geodesy, and Environmental Monitoring | |
DOI | https://doi.org/10.1051/e3sconf/202459205016 | |
Published online | 20 November 2024 |
Implementing dynamic VR levels for tower crane training
Kazan Federal University, Institute of Information Technology and Intelligent Systems, 420008, 35 Kremlevskaya st., Kazan, Russia
* Corresponding author: shubin.aleksey.kpfu@gmail.com
The article describes the application of virtual reality (VR) technologies in the training of hoisting vehicle operators, with a focus on improving the efficiency and safety of the educational process. Traditional methods of training are associated with high costs and significant risks, but virtual reality allows to create a safe and controlled environment for practising professional skills. The architecture of the developed VR simulator is discussed, including realistic crane reproduction, interaction with a virtual slinger and modelling of different weather conditions. An important aspect of the simulator is the procedural generation of content, which allows the creation of unique training scenarios, thus greatly diversifying the learning process. The use of virtual characters adds realism and interactivity to the learning process, allowing users to practice solving complex tasks while interacting with others in the workplace. Research shows that the use of VR in training tower crane operators not only improves the quality of training, but also helps to reduce errors in the initial stages of work. The article emphasises that dynamically variable levels play a key role in adapting the learning process to individual learner needs, making VR training a powerful tool for training professionals in the construction industry.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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