面向下一代铁路定位与信令开发亚米RTK GNSS

Carla Amatetti, T. Polonelli, Enea Masina, Charles Moatti, D. Mikhaylov, D. Amato, A. Vanelli-Coralli, M. Magno, L. Benini
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引用次数: 2

摘要

物联网设备和智能传感器在铁路运输应用中变得越来越普遍,它们具有显著提高可靠性、容量、安全性和降低成本的潜力。在“智能轨道”概念中,一个关键的促成因素是能够以厘米级的精度精确定位列车。这可以通过结合能够达到亚米精度的基于gnss的高精度模块和新兴的无线电和传感器技术来实现。本文提出了一种用于现场评估的列车跟踪传感器节点,该节点融合了来自GNSS和本地参考系统的绝对定位数据,如实时运动学(RTK)与惯性测量单元(IMU)和航位推算(DRK)。设计了一个完整的无线传感器节点,并对其功能和功耗进行了现场评估。在传感器节点内,在不同的静态和动态场景下,在不同的GNSS覆盖条件下,测试了两种不同的GNSS模块,包括有和没有RTK和DRK。我们证明,在静态条件和卫星完全能见度下,精度可以达到厘米级,在完全覆盖和低覆盖条件下,精度分别为2±1 cm和4±18 cm和17±40 cm。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards the Future Generation of Railway Localization and Signaling Exploiting sub-meter RTK GNSS
Internet of Things devices and smart sensors have become increasingly more pervasive in railway transportation applications, where they have the potential to significantly improve reliability, capacity, safety, and to reduce costs. In the ‘smart rail’ concept a key enabler is the ability to accurately localize trains with centimeter precision. This can be achieved using a combination of a high-precision GNSS-based module capable of achieving sub-meter accuracy and emerging radio and sensor technologies. This paper proposes a train tracking sensor node for in-field assessments fusing the absolute localization data from the GNSS and from local reference systems, such as Real Time Kinematics (RTK) with Inertial Measurement Unit (IMU) and Dead Reckoning (DRK). A complete wireless sensor node has been designed and evaluated in the field for functionality and power consumption. Within the sensor node, two different GNSS modules have been tested, with and without RTK and DRK, under different GNSS coverage conditions in various static and dynamic scenarios. We demonstrate that centimeter accuracy is achievable, with an accuracy of 2 ± 1 cm under static conditions and perfect satellite visibility, 4 ± 18 cm and 17 ± 40 cm under dynamic conditions in perfect and poor coverage conditions, respectively.
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