Finding the current location of a specific utility or oneself in an unfamiliar facility can be difficult and time consuming. The hypothesis tested in this paper is that using the information contained within Building Information Models (BIM) can increase the accuracy of indoor positioning algorithms using context-aware sensing technology. The presented work demonstrates how the integration of passive Radio Frequency Identification (RFID) tracking technology and Building Information Modeling (BIM) can assist indoor localization for potential applications in facilities management for proactive preventative maintenance. This paper includes (1) developing a framework that utilizes the integration of commercially-available RFID and a building information model; (2) evaluating the framework for real-time resource location tracking within an indoor environment; and (3) developing an algorithm for real-time localization and visualization in a BIM. A prototype application has been developed that simultaneously connects the RFID readers on a maintenance cart, an asset maintenance database and a BIM model. Three multilateralization approaches were compared in the system to use in the algorithm. Testing was conducted in a facility with a corridor that loops around in a rectangle. The goal is to have a system accuracy within 3 m. Results show that fusing BIM with multilateralization techniques for RFID technology can decrease the number of false reads by 64 % versus standalone multilateralization equations. The greatest system accuracy achieved was 1.66 m. Significantly, the results validate the hypothesis that BIM can increase indoor localization accuracy, and show the usefulness of using BIM for indoor localization in addition to real-time visualization.

中文翻译：

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融合无源RFID和BIM以提高室内定位的准确性

在不熟悉的设施中查找特定公用事业或自己的当前位置可能既困难又耗时。本文测试的假设是，使用建筑物信息模型（BIM）中包含的信息可以提高使用上下文感知传感技术的室内定位算法的准确性。提出的工作演示了无源射频识别（RFID）跟踪技术与建筑信息模型（BIM）的集成如何能够帮助室内定位，从而在主动预防性维护的设施管理中进行潜在的应用。本文包括（1）开发一个利用商业上可用的RFID和建筑信息模型的集成的框架；（2）评估室内环境中实时资源位置跟踪的框架；（3）开发一种用于在BIM中进行实时定位和可视化的算法。已经开发了一个原型应用程序，该应用程序同时连接维护推车，资产维护数据库和BIM模型上的RFID阅读器。在系统中比较了三种多边化方法以用于算法。测试是在一个设施中进行的，该设施的走廊呈矩形环绕。目标是使系统精度在3 m以内。结果表明，与独立的多边化方程相比，将BIM与多边化技术融合在一起可将RFID技术的误读次数减少64％。达到的最大系统精度为1.66 m。重要的是