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http://dx.doi.org/10.7842/kigas.2017.21.6.61

Development of Escape and Rescue Path-taking Method for Plant Accident Response Training  

Kim, Hyoung Jean (Institute for Advanced Engineering)
Park, Chan-Cook (Institute for Advanced Engineering)
Lee, Jae Yong (Institute for Advanced Engineering)
Lee, Chun Sik (Institute for Advanced Engineering)
Publication Information
Journal of the Korean Institute of Gas / v.21, no.6, 2017 , pp. 61-69 More about this Journal
Abstract
In case of plant accident, the most important measures that field operators, control-room operators and fire fighters must take are the escape from and going into the accident sites. These two different actions are reverse directional moving actions. By training operators and fire fighters with counter-accident path taking measurements, we can prevent the small accidents from becoming large-scale accidents, and can take efficient measurements in case of actual plant accidents. Out of necessities of path-taking training, in this research, we developed the escape and rescue path-taking method for plant accident response training. We can calculate the escape and rescue routes from a operator or fire fighter's current location as of accident happening and provide route data which in turn can be used as the safety training scenario. We expect this path-taking method can enhance the effectiveness and reality of escape and rescue training scenarios.
Keywords
plant; training; path; escape; rescue;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 Dijkstra's algorithm, Wikipedia, http://en.wikipedia.org/wiki/Dijkstra's_algorithm
2 Bellman-Ford algorithm, Wikipedia, https://en.wikipedia.org/wiki/Bellman-Ford_algorithm
3 A* search algorithm, Wikipedia, http://en.wikipedia.org/wiki/A*_search_algorithm
4 Floyd-Warshall algorithm, Wikipedia, http://en.wikipedia.org/wiki/Floyd-Warshall_algorithm
5 Johnson's algorithm, Wikipedia, http://en.wikipedia.org/wiki/Johnson's_algorithm
6 Viterbi algorithm, Wikipedia, http://en.wikipedia.org/wiki/Viterbi_algorithm
7 Cormen, T. H., Leiserson, C. E., Rivest, R. L., and Stein, C., Introduction to Algorithms, 3rd ed., MIT Press, Cambridge, Massachusetts, (2009)
8 Xiao, J. X., and Lu, F. L., "An Improvement of the Shortest Path Algorithm Based on Dijkstra Algorithm", 2nd International Conference on Computer and Automation Engineering (ICCAE), (2010)
9 Cho, S. H., Joo, K. D., Kang, H., Park, K. S., and Shin, D. I., "A Mobile Application for Navigating the Optimal Escape Route in Accidents and Emergency Situations", Korean Journal of Hazardous Materials, 3(1), 28-36, (2015)
10 Kim, H. J., Park, C. C., Lee, J. Y., Lee, C. S., and Yu, J. C., "A Study of Interactive Training Methods for the Safe Operation of City Gas Governor", Journal of the Korean Institute of Gas, 21(1), 34-42, (2017)   DOI
11 Shortest path problem, Wikipedia, http://en.wikipedia.org/wiki/Shortest_path_problem