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http://dx.doi.org/10.6109/jkiice.2019.23.11.1371

Deep learning based optimal evacuation route guidance system in case of structure fire disaster  

Lim, Jae Don (Department of Computer Engineering, Paichai University)
Kim, Jung Jip (Department of Computer Engineering, Paichai University)
Hong, Dueui (Department of Computer Engineering, Paichai University)
Jung, Hoekyung (Department of Computer Engineering, Paichai University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.23, no.11, 2019 , pp. 1371-1376 More about this Journal
Abstract
In case of fire in a structure, it is difficult to suppress fire because it can not accurately grasp the location of fire in case of fire. In this paper, we propose a system algorithm that can guide the optimal evacuation route in case of deep learning-based (RNN) structure disaster. The present invention provides a service to transmit data detected by sensors to a server in real time by using installed sensor, to transmit and analyze information such as temperature, heat, smoke, toxic gas around the sensor, to identify the safest moving path within a set threshold, to transmit information to LED guide lights and direction indicators in a structure in real time to avoid risk factors. This is because the information of temperature, heat, smoke, and toxic gas in each area of the structure can be grasped, and it is considered that the optimal evacuation route can be guided in case of structure disaster.
Keywords
Guide to evacuation; Deep Learning; Sensor; Fire disaster;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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