First Responders Space Subdivision Framework for Indoor Navigation

IF 0.7 Q3 COMPUTER SCIENCE, THEORY & METHODS
Asep Id Hadiana, S. K. Baharin, Zahriah Othman
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引用次数: 0

Abstract

—Indoor navigation is crucial, particularly during indoor disasters such as fires. However, current spatial subdivision models struggle to adapt to the dynamic changes that occur in such situations, making it difficult to identify the appropriate navigation space, and thus reducing the accuracy and efficiency of indoor navigation. This study presents a new framework for indoor navigation that is specifically designed for first responders, with a focus on improving their response time and safety during rescue operations in buildings. The framework is an extension of previous research and incorporates the combustibility factor as a critical variable to consider during fire disasters, along with definitions of safe and unsafe areas for first responders. An algorithm was developed to accommodate the framework and was evaluated using Pyrosim and Pathfinder software. The framework calculates walking speed factors that affect the path and walking speed of first responders, enhancing their chances of successful evacuation. The framework captures dynamic changes, such as smoke levels, that may impact the navigation path and walking speed of first responders, which were not accounted for in previous studies. The experimental results demonstrate that the framework can identify suitable navigation paths and safe areas for first responders, leading to successful evacuation in as little as 148 to 239 seconds. The proposed framework represents a significant improvement over previous studies and has the potential to enhance the safety and effectiveness of first responders during emergency situations.
室内导航第一响应者空间细分框架
-室内导航至关重要,特别是在火灾等室内灾害中。然而,现有的空间细分模型难以适应这种情况下发生的动态变化,难以识别合适的导航空间,从而降低了室内导航的精度和效率。本研究提出了一个专门为第一响应者设计的室内导航新框架,重点是改善他们在建筑物救援行动中的响应时间和安全性。该框架是对先前研究的扩展,并将可燃性因素作为火灾中需要考虑的关键变量,以及对第一响应者的安全和不安全区域的定义。开发了一种适应该框架的算法,并使用Pyrosim和Pathfinder软件进行了评估。该框架计算了影响第一响应者的路径和步行速度的步行速度因素,提高了他们成功疏散的机会。该框架捕捉了动态变化,如烟雾水平,这可能会影响第一响应者的导航路径和行走速度,这在以前的研究中没有考虑到。实验结果表明,该框架可以为第一响应者识别合适的导航路径和安全区域,从而在短短148至239秒内成功疏散。拟议的框架比以前的研究有了重大改进,有可能提高紧急情况下第一反应者的安全性和有效性。
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来源期刊
CiteScore
2.30
自引率
22.20%
发文量
519
期刊介绍: IJACSA is a scholarly computer science journal representing the best in research. Its mission is to provide an outlet for quality research to be publicised and published to a global audience. The journal aims to publish papers selected through rigorous double-blind peer review to ensure originality, timeliness, relevance, and readability. In sync with the Journal''s vision "to be a respected publication that publishes peer reviewed research articles, as well as review and survey papers contributed by International community of Authors", we have drawn reviewers and editors from Institutions and Universities across the globe. A double blind peer review process is conducted to ensure that we retain high standards. At IJACSA, we stand strong because we know that global challenges make way for new innovations, new ways and new talent. International Journal of Advanced Computer Science and Applications publishes carefully refereed research, review and survey papers which offer a significant contribution to the computer science literature, and which are of interest to a wide audience. Coverage extends to all main-stream branches of computer science and related applications
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