Navigation for Occupational Safety in Harsh Industrial Environments

F. Hartmann, T. Gaedeke, P. Leibold, L. Niestoruk, W. Stork
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引用次数: 6

Abstract

The importance of location based services (LBS) has largely increased for consumer applications and becoming more and more relevant in industrial applications. For example location dependent information can support occupational safety staff to ensure the safety at work in emergency scenarios. In outdoor environments localization can be obtained easily by using a global navigation satellite system (GNSS). For harsh indoor environments, however, where most industrial applications require localization, an accurate localization remains a challenge in general. In this paper we present a hybrid localization system enabling navigation in challenging environments. The hybrid system fuses received signal strength (RSS) based wireless sensor network (WSN) ranging and a foot mounted inertial measurement unit (IMU). The key contribution of this paper is a hybrid localization concept and experimental results using a deployed system in an industrial environment. We characterize the wireless sensor network signal propagation and evaluate the magnetic field for heading stabilization in such environments. The accuracy analysis shows a typical error of 2 meters. In comparison to a pure inertial navigation system (INS) approach, we demonstrate the enhancements introduced by the combination of an inertial navigation system and a wireless sensor network received signal strength based localization.
恶劣工业环境下的职业安全导航
基于位置的服务(LBS)对于消费者应用的重要性大大增加,并且在工业应用中变得越来越重要。例如,与位置相关的信息可以支持职业安全人员确保紧急情况下的工作安全。在室外环境下,使用全球卫星导航系统(GNSS)可以很容易地进行定位。然而,对于恶劣的室内环境,大多数工业应用都需要定位,准确的定位仍然是一个挑战。在本文中,我们提出了一种混合定位系统,使导航在具有挑战性的环境。该混合系统融合了基于接收信号强度(RSS)的无线传感器网络(WSN)测距和脚装惯性测量单元(IMU)。本文的主要贡献是混合定位概念和在工业环境中使用部署系统的实验结果。我们描述了无线传感器网络信号的传播特性,并评估了在这种环境下用于航向稳定的磁场。精度分析显示典型误差为2米。与纯惯性导航系统(INS)方法相比,我们展示了惯性导航系统和基于接收信号强度的无线传感器网络相结合所带来的增强。
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