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Joint RFID and UWB Technologies in Intelligent Warehousing Management System

  • Kang Zhao
  • , Minghua Zhu*
  • , Bo Xiao
  • , Xuguang Yang
  • , Changlei Gong
  • , Junyi Wu
  • *此作品的通讯作者
  • East China Normal University
  • Shanghai Internet of Things Co., Ltd.
  • Shanghai University

科研成果: 期刊稿件文章同行评审

摘要

Joint application of radio-frequency identification (RFID) and ultrawideband (UWB) technologies in the intelligent warehousing management system is proposed. In this system, we regard forklift as infrastructure, and both the UWB mobile terminal (MT) and the RFID reader are mounted on the forklift. The RFID reader is used not only to read the information of goods but also to determine the goods' status of loading and unloading. The UWB MT is used to locate the forklift. The goods or pallets are labeled with RFID tags. Utilizing the integration of these two technologies, the dual goals of goods information and goods location perception are achieved. An $M/N$ - $K$ sliding window method is proposed to determine the loading and unloading of goods in this article. Our experiments reveal that this novel method can quickly, accurately, and efficiently determine the states of the goods on the forklift. For the indoor localization, an algorithm is proposed based on RSS residual weighting (RRW). Experiments show that RRW can mitigate the nonline-of-sight error substantially compared with the conventional Taylor algorithm and recent Convex approximation algorithm. Finally, a real working practice in a warehouse of a company is introduced, and it illustrates the feasibility of the system.

源语言英语
文章编号9103578
页(从-至)11640-11655
页数16
期刊IEEE Internet of Things Journal
7
12
DOI
出版状态已出版 - 12月 2020

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