期刊論文
學年 | 107 |
---|---|
學期 | 1 |
出版(發表)日期 | 2018-09-19 |
作品名稱 | Simulation analysis of the search effectiveness on information-based firefighting |
作品名稱(其他語言) | |
著者 | Lin Hui; Kuei Min Wang; Yung-Hui Chen; Fu-Yi Hung |
單位 | |
出版者 | |
著錄名稱、卷期、頁數 | International Journal of Social and Humanistic Computing 3(1), p.20-33 |
摘要 | Nowadays, fire accident is still a thorny problem due to the current firefighting still heavily relies on the experience instead of information. Saving lives from fireground is the primary task in firefighting, in which the speed of effective search largely relies on the sufficient and instant information. When insufficient information situation follows firefighter tightly, the firefighter's life can be jeopardised. Equipped firefighter with the advancing information technology, such as IR, laser range-finder, camera, augmented reality and an unmanned aerial vehicle for acquiring more fireground information may be useful for firefighting task. This study focuses on using Monte Carlo simulation model to quantify the feasible alternatives and finds out the significant effect by t-test. The result showed the time in search of victim is significantly reduced as using new way of firefighting. The contribution of this paper is to disclose the value of the proposed information-based technology in support of firefighting. |
關鍵字 | firefighting;simulation;obstacle;search;internet of things;IoT |
語言 | en |
ISSN | 1752-6124 |
期刊性質 | 國外 |
收錄於 | |
產學合作 | |
通訊作者 | |
審稿制度 | 是 |
國別 | CHE |
公開徵稿 | |
出版型式 | ,電子版,紙本 |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/115232 ) |