The Anyplace 4.0 IoT Localization Architecture
The Anyplace 4.0 IoT Localization Architecture
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Anyplace 4.0 物联网本地化架构
DOI：
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发表时间：
2020
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通讯作者：
D. Zeinalipour
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作者：
P. Mpeis;Thierry Roussel;Manish Kumar;Constantinos Costa;C. Laoudias;Denis Capot;D. Zeinalipour
物联网（IoT）革命已经将传感器丰富的跟踪设备大规模地引入到不断增长的智能空间（例如，工厂、医院和船舶）。多年来一直没有解决的一个问题是物联网的本地化问题，因为基于卫星的解决方案在80-90%的时间发生人类活动的室内空间中是不准确的。在本文中，我们介绍了一种用于物联网定位的新型开源架构，即Anyplace 4.0 IoT（A4 IoT），它利用信号指纹识别在同一屋檐下组织各种不同的定位技术（例如，Wi-Fi、BLE、蜂窝、UWB、计算机视觉）。我们介绍了A4 IoT的技术要求，其灵感来自于在全球铁路运输市场运营的阿尔斯通SA智能工厂。A4 IoT包括一个众包架构，部署人员可以在边缘上运行的指定本地化服务（从Raspberry到Datacenter）中收集和组织智能空间内的指纹信号。该服务结合了用于跟踪目标的时间序列数据库，部署人员可以在各种平台上提供精确的房间级定位精度$（约2 mathrm {m}）$（例如，Android、Linux、Mac、Windows、Robot OS），而且还通过Web 2.0端点将A4 IoT集成到其软件生态系统中。
The Internet of Things (IoT) revolution has massively introduced sensor-rich tracking devices to an ever growing landscape of smart spaces (e.g., factories, hospitals, and ships). One problem that remains unsolved over the years is the localization problem for IoT, given that Satellite-based solutions are inaccurate in indoor spaces where human activity takes place 80-90% of the time. In this paper, we introduce a novel open-source architecture for IoT localization, coined Anyplace 4.0 IoT (A4IoT), which exploits signal fingerprinting to organize under the same roof a wide range of different localization technologies (e.g., Wi-Fi, BLE, Cellular, UWB, Computer Vision). We present the technical requirements of A4IoT inspired by the Alstom SA smart factory, operating worldwide in rail transport markets. A4IoT comprises a crowdsourcing architecture where deployers can collect and organize fingerprint signals inside smart spaces in a designated localization service running on the Edge (from Raspberry to Datacenter). The service incorporates timeseries databases for tracking targets and deployers can provide accurate room-level localization accuracy $(approx 2mathrm{m})$ on a variety of platforms (e.g., Android, Linux, Mac, Windows, Robot OS) but also integrate A4IoT through Web 2.0 endpoints to their software ecosystems.