Fast Deployment of a UWB-Based IPS for Emergency Response Operations

Author:

Adame Toni1ORCID,Igual Julia1,Catalan Marisa1

Affiliation:

1. IoT Research Group, Fundació i2CAT, Gran Capità 2-4, 08034 Barcelona, Spain

Abstract

A wide range of applications from multiple sectors already use ultra-wideband (UWB) technology to locate and track assets precisely. This is not the case, however, for first responder localization during emergency response (ER) operations, which are highly conditioned by procedural and environmental constraints. After analyzing these limitations and reviewing the current state-of-the-art solutions, this work presents a UWB-based indoor positioning system (IPS) that relies on the global navigation satellite system real-time kinematic (GNSS-RTK) technology to quickly, accurately, and safely deploy its required infrastructure on site. A set of tests conducted on a two-story building prove the suitability of such a system, providing an average accuracy of less than 1 meter for static targets and the ability to faithfully reproduce the path followed by a mobile target inside the building. The obtained results strengthen the presented approach and pave the way for more sophisticated UWB-based IPSs that would include unmanned aerial vehicles (UAVs) and/or mobile robots to speed up network deployment even more while offering additional ER services.

Funder

European Union’s Horizon 2020 Research and Innovation Framework Programme

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference88 articles.

1. Walton, D., and van Aalst, M. (2020). A First Look at the Number of People Affected by Intersecting Disasters, IFRC.

2. Information technologies and disaster management–Benefits and issues;Sakurai;Prog. Disaster Sci.,2019

3. Meier, P. (2015). Digital Humanitarians: How Big Data is Changing the Face of Humanitarian Response, CRC Press.

4. Standards for the Internet of Things: A case study in disaster response;Laplante;Computer,2016

5. Internet of Things (IoT) in high-risk Environment, Health and Safety (EHS) industries: A comprehensive review;Thibaud;Decis. Support Syst.,2018

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3