一种新颖的室内外无线叉车定位系统

Juan Carlos Fuentes Michel, H. Millner, M. Vossiek
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引用次数: 13

摘要

精确跟踪工业运输工具,例如自动导向车辆、起重机、叉车等,对于优化物流流程和存储管理变得越来越重要。在需要灵活存储、需要实时信息或由于成本或物理限制而不适合标记物品的应用中,实时叉车跟踪可以补充或取代RFID系统。介绍了一种高性能5.8 GHz无线叉车定位系统。往返飞行时间(RTOF)测量分别为附加在叉车和基础设施上的任意数量的移动和固定二次雷达单元提供了一组ID距离值。采用一种基于优化几何的启发式定位方法,推导了叉车的位置和方向。该方法可以处理由于多径失真等原因导致的RTOF测量错误,并实现了鲁棒可靠的定位。提出的RTOF系统概念允许最小的基础设施复杂性,因为不需要骨干网和专用同步方案。在一家钢厂的叉车上进行的室内测试证明,即使没有使用任何辅助惯性或航位推算传感器,位置和方向的测量不确定度也分别低于±5厘米和±10度。这种出色的性能使该系统非常适合生产,物流和存储中的各种应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novell wireless forklift positioning system for indoor and outdoor use
Precise tracking of industrial transportation means - e.g. automatic guided vehicles, cranes, forklifts, etc. - is becoming increasingly important for optimizing logistics processes and storage management. Real time forklift tracking can supplement or replace RFID systems in applications where flexible storage is wanted, where real time information is needed or when item tagging is inappropriate due to costs or physical constrains. In this paper a high performance 5.8 GHz wireless forklift positioning system is introduced. Round-trip time-of-flight (RTOF) measurements provide a set of ID distance values between an arbitrary number of mobile and fixed secondary radar units attached to the forklift and to the infrastructure, respectively. With an optimized geometry based heuristic localization method the position and orientation of the forklift is derived. The proposed method can deal with faulty RTOF measurements, e.g. due to multipath distortions, and it enables a robust and reliable localization. The proposed RTOF system concept allows a minimal complexity of the infrastructure since no backbone network and no dedicated synchronization scheme is needed. An indoor test campaign with a forklift in a steel mill proved a measurement uncertainty of position and orientation below plusmn5 cm and plusmn10deg, respectively, even without the use of any assisting inertial or dead reckoning sensors. This outstanding performance makes the system ideally suited for various applications in production, logistics and storage.
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