Altitude Monitoring of Multi-Floor Building Using a Barometric Altimeter Device and Self-Adaptive Algorithm

M. V. Caya, Jeffrey P. Ng
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Abstract

In the Philippines, creating ways to keep our public emergency responders safe is an everyday issue. With the help of fast-paced wireless technology, problems are now solvable such as monitoring, creating miniaturized sensors or devices, etc. This study will focus on using a barometric altimeter sensor that has a system with a Self-Adaptive Algorithm. Compared to other existing studies regarding indoor localization or identifying floor height which are time-consuming or labor-intensive, this will benefit our countries' finest specifically firefighters. Lessen their worries about accidents or death due to suffocation for losing their way inside the burning multi-floor building. Through our system, it will show the altitude measurement and estimated floor levels of the firefighter who is wearing the device. This study was conducted at Ayala Circuit Makati with 10 samples and gathered an accuracy of 93.820% with the system undergone Self-Adaptive Algorithm over 86.263% of without undergone Self-Adaptive Algorithm.
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基于气压高度计和自适应算法的多层建筑高度监测
在菲律宾,创造方法来保证我们的公共应急人员的安全是一个日常问题。在快节奏的无线技术的帮助下,现在可以解决诸如监控,创建小型化传感器或设备等问题。本研究的重点是使用一种气压高度计传感器,该传感器具有自适应算法系统。与其他关于室内定位或确定楼层高度的耗时或劳动密集型的现有研究相比,这将有利于我们国家最优秀的消防员,特别是消防员。减轻他们对在燃烧的多层建筑中迷路而发生事故或因窒息而死亡的担忧。通过我们的系统,它将显示佩戴该设备的消防员的高度测量和估计的楼层高度。本研究在Ayala Circuit Makati进行,共10个样本,经过自适应算法的准确率为93.820%,而未经过自适应算法的准确率为86.263%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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