IoT Research Group, Fundació i2CAT, Gran Capità 2-4, 08034 Barcelona, Spain.
Sensors (Basel). 2023 Apr 22;23(9):4193. doi: 10.3390/s23094193.
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.
超宽带 (UWB) 技术已广泛应用于多个领域,可实现资产的精确定位和跟踪。然而,在应急响应 (ER) 操作中,对第一响应者的定位却并非如此,因为这些操作受到程序和环境限制的高度制约。在分析了这些限制并回顾了当前的最先进解决方案后,本工作提出了一种基于超宽带的室内定位系统 (IPS),该系统依赖于全球导航卫星系统实时动态 (GNSS-RTK) 技术,以便快速、准确、安全地在现场部署其所需的基础设施。在一座两层楼的建筑物上进行的一组测试证明了该系统的适用性,为静态目标提供了平均精度小于 1 米的定位,并且能够忠实地再现移动目标在建筑物内的行进路径。所获得的结果加强了所提出的方法,并为更复杂的基于超宽带的 IPS 铺平了道路,这些 IPS 将包括无人机 (UAV) 和/或移动机器人,以在提供更多 ER 服务的同时进一步加快网络部署速度。