INDOOR LOCALIZATION OF RFID-EQUIPPED MOVABLE ASSETS USING MOBILE READER BASED ON REFERENCE TAGS CLUSTERING

ISARC

A. Motamedi

Individualized Program (INDI), Concordia University,

2145 Mackay Street, S204, Montreal, Quebec, Canada H3G 2J2

M. M. Soltani

Building, Civil and Environmental Engineering, Concordia University,

1455 de Maisonneuve Blvd. West, EV-6.139, Montreal, Quebec, Canada H3G 1M8

* A. Hammad

Concordia Institute for Information Systems Engineering, Concordia University,

1515 Ste-Catherine Street West, EV7.643, Montreal, Quebec, Canada H3G 2W1

(*Corresponding author: hammad@ciise.concordia.ca)

Indoor localization has gained importance as it has the potential to improve various processes related to the lifecycle management of facilities and to deliver personalized and location-based services. Radio Frequency Identification (RFID) based systems, on the other hand, have been widely used in different applications in construction and maintenance. This paper investigates the usage of RFID technology for indoor localization of RFID equipped movable assets during the operation phase of facilities. The location-related data on RFID tags attached to fixed assets are extracted from a Building Information Model (BIM) and can provide context-aware information inside the building which can improve Facilities Management (FM) processes. The paper proposes a new approach to use received signals from available reference tags in the building attached to fixed assets to locate movable assets. The approach uses signal pattern matching and clustering algorithms for localization. As a result, a user equipped with an RFID reader is able to estimate the location of target assets, without having access to any Real- Time Location System (RTLS) infrastructure. A case study is performed to demonstrate the feasibility of proposed methods.
Keywords: Data collection; Data; Environment; Value; Information; Simulation; Simulations; Systems; Algorithm;
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