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DOI: 10.14569/IJACSA.2014.051111
PDF

The Experience-Based Safety Training System Using Vr Technology for Chemical Plant

Author 1: Atsuko Nakai
Author 2: Yuta Kaihata
Author 3: Kazuhiko Suzuki

International Journal of Advanced Computer Science and Applications(ijacsa), Volume 5 Issue 11, 2014.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: In chemical plants, safety measures are needed in order to minimize the impact of severe accidents and natural disasters. At the same time, carrying out the education and training to workers the corresponding operation in non-stationary situation is essential. However, reproducing the non-stationary conditions to actual equipment or mock-up cannot be performed because it is dangerous. By using the virtual reality (VR) technology, we can build up a virtual chemical plant with lower cost compared to real plant. The operator can experience the fire and explosion accidents in the virtual space. Therefore, in this paper, we propose an experienced-based safety training system for implementing the education and training by using the non-stationary situation in the computer. This proposed system is linked with the dynamic plant simulator. A trainee can learn the correct operation through the simulated experience to prevent an accident. The safety awareness of workers will improve by experiential learning. The proposed system is useful for safety education in chemical plant.

Keywords: safety education; training system; virtual reality

Atsuko Nakai, Yuta Kaihata and Kazuhiko Suzuki, “The Experience-Based Safety Training System Using Vr Technology for Chemical Plant” International Journal of Advanced Computer Science and Applications(ijacsa), 5(11), 2014. http://dx.doi.org/10.14569/IJACSA.2014.051111

@article{Nakai2014,
title = {The Experience-Based Safety Training System Using Vr Technology for Chemical Plant},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2014.051111},
url = {http://dx.doi.org/10.14569/IJACSA.2014.051111},
year = {2014},
publisher = {The Science and Information Organization},
volume = {5},
number = {11},
author = {Atsuko Nakai and Yuta Kaihata and Kazuhiko Suzuki}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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