AIOSAT -自主室内和室外安全跟踪系统

I. Adin, Paul Zabalegui, Alejandro Pérez, Jaione Arrizabalaga, Jon Goya, J. Mendizabal
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引用次数: 1

摘要

尽管卫星定位提高了救援人员的安全性和效率,但由于地形、自然和结构障碍甚至操作条件的影响,在火灾操作中信号的可用性、可靠性和准确性往往较差。在中欧,利益相关者报告说,非常有必要补充室内外混合和GNSS封锁场景的位置。因此,位置信息通常需要增强。为此,欧洲伽利略全球导航卫星系统可以通过提高不同功能卫星的可用性来提供帮助。此外,多传感器协作系统还可以利用已经参与灭火的救援人员,并补充定位输入数据。自主室内和室外安全跟踪系统(AIOSAT)是由西班牙、荷兰和比利时的七个合作伙伴通过“地平线2020”计划建立的一个跨国项目。它正在取得进展的第一年(总共三年),AIOSAT系统的总体目标是通过创建一个高可用性和高完整性的团队定位和跟踪系统,在跟踪救援人员方面超越目前的技术水平。在系统层面,这一目标通过融合GNSS、EDAS/EGNOS、行人航位推算和超宽带测距信息来实现,可能还会增加地图数据。该系统应该能够在建筑物和农村地区工作,这是由参与财团和项目咨询委员会小组的最终用户定义的测试案例
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AIOSAT - Autonomous Indoor & Outdoor Safety Tracking System
Abstract Even though satellite-based positioning increases rescue workers’ safety and efficiency, signal availability, reliability, and accuracy are often poor during fire operations, due to terrain formation, natural and structural obstacles or even the conditions of the operation. In central Europe, the stakeholders report a strong necessity to complement the location for mixed indoor-outdoor and GNSS blocked scenarios. As such, location information often needs to be augmented. For that, European Global Navigation Satellite System Galileo could help by improving the availability of the satellites with different features. Moreover, a multi-sensored collaborative system could also take advantage of the rescue personnel who are already involved in firefighting and complement the input data for positioning. The Autonomous Indoor & Outdoor Safety Tracking System (AIOSAT) is a multinational project founded through the Horizon 2020 program, with seven partners from Spain, Netherlands and Belgium. It is reaching the first year of progress (out of 3) and the overarching objective of AIOSAT system is to advance beyond the state of the art in tracking rescue workers by creating a high availability and high integrity team positioning and tracking system. On the system level approach, this goal is achieved by fusing the GNSS, EDAS/EGNOS, pedestrian dead reckoning and ultra-wide band ranging information, possibly augmented with map data. The system should be able to work both inside buildings and rural areas, which are the test cases defined by the final users involved in the consortium and the advisory board panel of the project
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