A Cloud-Oriented Indoor-Outdoor Real-Time Localization IoT Architecture for Industrial Environments

Laura Belli, Luca Davoli, Gianluigi Ferrari
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Abstract

Localization services for precise and continuous monitoring of the locations of both humans and vehicles in industrial environments are among the most relevant applications in Industrial Internet of Things (IIoT) contexts, to maximize safety and optimize operational activities. Unfortunately, localization in industrial scenarios is particularly challenging because targets can generally move freely in both indoor and outdoor areas. In this paper, we propose a localization monitoring architecture based on a prototypical wearable IoT device equipped with Ultra-Wide Band (UWB), inertial, and GNSS/RTK technologies for seamless localization in heterogeneous environments. We focus on a Web of Things (WoT) approach, verifying suitability and limitations in a real use case scenario. Our approach shows that the proposed architecture can effectively enhance the safety of workers, detecting potentially dangerous events and triggering alarms (e.g., via smart buzzers or gas concentration warning devices) based on a cloud WoT architecture.
面向工业环境的云端室内外实时定位物联网架构
在工业物联网(IIoT)背景下,为最大限度地提高安全性和优化运营活动,对工业环境中人和车辆的位置进行精确和持续监控的定位服务是最相关的应用之一。遗憾的是,工业场景中的定位尤其具有挑战性,因为目标通常可以在室内和室外自由移动。在本文中,我们提出了一种基于原型可穿戴物联网设备的定位监控架构,该设备配备了超宽带 (UWB)、惯性和 GNSS/RTK 技术,可在异构环境中实现无缝定位。我们将重点放在物联网(WoT)方法上,在实际使用场景中验证其适用性和局限性。我们的方法表明,基于云 WoT 架构,建议的架构可有效提高工人的安全性,检测潜在的危险事件并触发警报(例如,通过智能蜂鸣器或气体浓度警告装置)。
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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