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A boundary condition based algorithm for locating construction site objects using RFID and GPS

机译:基于边界条件的RFID和GPS定位建筑工地对象的算法

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摘要

Construction sites are rugged, dynamic, and complex, involving a large number of objects that continuously change their locations and occupied spaces. Being able to accurately locate and track site objects site is critical to project management and control to meet the increasing demands for efficiency and safety in modern construction projects. Automated locating technologies such as Radio Frequency Identification (RFID) have proven to be beneficial in tracking some construction site objects. The biggest challenge in applying the RFID technology is that the received signal strength (RSS) varies over time and location, and there is no direct relationship between signal strength and detection range, leading to low positional accuracies in the estimated tag locations. This paper presents an algorithm termed BConTri that combines a "boundary condition method" and the trilateration concept to estimate tag location in three-dimensional (3D) real world coordinates from four or more RFID readers equipped with GPS. This study also developed a prototype RFID locating system that implemented the newly created BConTri algorithm. A comprehensive assessment of the positional accuracy was applied to field experiment results and a high accuracy of the algorithm was observed. A measure of the spatial dilution of reader distribution was formulated and a linear relationship between this measure and the locating accuracy was observed, forming the base for using this measure as a reliable indicator for the resulting locating accuracy. This accuracy indicator helps in estimating the accuracy and quality control of RFID-based locating and tracking systems in construction.
机译:施工现场坚固,动态且复杂,涉及大量不断变化其位置和占用空间的物体。能够准确定位和跟踪站点对象站点对于项目管理和控制以满足现代建筑项目对效率和安全性日益增长的需求至关重要。事实证明,诸如射频识别(RFID)之类的自动定位技术在跟踪某些建筑工地物体方面是有益的。应用RFID技术的最大挑战是接收信号强度(RSS)随时间和位置而变化,并且信号强度与检测范围之间没有直接关系,导致估计的标签位置的位置精度较低。本文提出了一种称为BConTri的算法,该算法结合了“边界条件方法”和三边测量概念,可以从四个或更多配备GPS的RFID阅读器中估算三维(3D)现实世界坐标中的标签位置。这项研究还开发了一个原型RFID定位系统,该系统实现了新创建的BConTri算法。对位置精度的综合评估应用于野外实验结果,并观察到该算法的高精度。制定了对阅读器分布的空间稀释度的度量,并观察到该度量与定位精度之间的线性关系,从而为将该度量用作所得定位精度的可靠指标奠定了基础。该精度指示器有助于评估建筑中基于RFID的定位和跟踪系统的精度和质量控制。

著录项

  • 来源
    《Advanced engineering informatics》 |2014年第4期|455-468|共14页
  • 作者单位

    School of Civil Engineering, Division of Construction Engineering and Management, Purdue Univ., 550 Stadium Mall, West Lafayette, IN 47907-2051, United States;

    Black & Veatch, 11401 Lamar Avenue, Overland Park, KS 66221, United States;

    Department of Construction, School of Engineering, Southern Illinois University at Edwardsville, Edwardsville, IL 62025, United States;

    School of Civil Engineering, 550 Stadium Mall, West Lafayette, IN 47907-2051, United States;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    RFID; GPS; Received signal strength; Boundary condition; Spatial dilution; Accuracy assessment;

    机译:RFID;全球定位系统;接收信号强度;边界条件;空间稀释;准确性评估;

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