• Title/Summary/Keyword: Evacuation guidance map design guide

Search Result 2, Processing Time 0.017 seconds

A Study on Smartphone Evacuation Guidance Map Criteria through Analysis of Decision-making Time (의사결정시간 분석을 통한 스마트폰 피난안내도 구성요소별 작성기준에 관한 연구)

  • Jeon, Eun-Goo;Bae, Young-Hoon;Jee, Ho-Joon;Son, Jong-Yeong;Park, Joongoo;Hong, Won-Hwa
    • Fire Science and Engineering
    • /
    • v.33 no.5
    • /
    • pp.86-93
    • /
    • 2019
  • Previous studies related to evacuation guidance systems are focused on the system construction, and research on manual of the standard evacuation map is insufficient. Therefore, this research is a basic study to establish the standard evacuation map, and analyzed the decision-making time according to the type and size for each component of the evacuation map. Experimental elements were derived through the review of previous studies and legal regulations. After that, decision-making time was analyzed according to the type and size of the component display method. An experiment was conducted to analyze the decision-making time according to the type and size of the component display method. Afterwards, through the statistical test, the evacuation map guidelines for smartphones were proposed.

The Design and Implementation of Mobile Application Solution for Forest Fire based on Drone Photography and Amazon Web Service (AWS)

  • Choi, Si-eun;Bang, Jong-ho
    • Journal of Internet Computing and Services
    • /
    • v.21 no.5
    • /
    • pp.31-37
    • /
    • 2020
  • Last year's Goseong-Sokcho forest fires have highlighted the limitations of extinguishing work for night-time forest fire and the importance of quick identification for information on the spread of forest fire. However, it is not easy to find services that take into account the characteristics of forest fires, as most existing disaster-related mobile applications and research assume various disaster situations rather than just forest fire situations. Therefore, a system that can provide information quickly is needed, taking into account the characteristics of forest fires and the limitations of extinguishing work. In this paper, we propose evacuation route guidance services that bypass areas where fire has already spread, supplement existing methods of extinguishing work, and provide general information on forest fire situations in real time, by putting drones into forest fire situations. It has been implemented to automate image analysis using the Rekognition service of Amazon Web Service (AWS), and the results of fire detection and the T Map API guide the evacuation path. It is expected that the results of this paper will allow efficient and rapid rescue and extinguishing work to be carried out, and further reduce the damage of human life caused by forest fires.