Title: Identification of assets and statement of wireless technologies to support real time location systems: case RNEST - Abreu e Lima refinery

Authors: Larissa P.M. Cruz; Luiz Landau; Gerson Gomes Cunha; Maria Celia S. Lopes

Addresses: Laboratory of Computational Methods in Engineering, Federal University of Rio de Janeiro/COPPE, Rio de Janeiro, Brazil ' Laboratory of Computational Methods in Engineering, Federal University of Rio de Janeiro/COPPE, Rio de Janeiro, Brazil ' Laboratory of Computational Methods in Engineering, Federal University of Rio de Janeiro/COPPE, Rio de Janeiro, Brazil ' Laboratory of Computational Methods in Engineering, Federal University of Rio de Janeiro/COPPE, Rio de Janeiro, Brazil

Abstract: This study aims to present a methodology that helps to choose the most appropriate technology for asset tracking in harsh environments, as well as make possible a more assertive identification of assets to be tracked. The method used is the correlation between metric parameters of performance and the technical characteristics of sensors that are based on the real-time location systems (RTLS) as: infrared, ultrasound, Bluetooth, UWB, RFID, Zigbee and GPS. Thus, you get a table with qualitative indicators that are subsequently aligned in ascending order of operation, generating chart radar to view clearly this evaluative rating. This method was applied to a tracking case in a harsh environment as the Abreu e Lima Refinery - RNEST. The development of this method and its application aims to minimise planning and deployment errors, enabling the development of RTLS's systems with more appropriate technologies.

Keywords: wireless technologies; metric performance; appropriate technology; real time location systems; asset identification; case study; oil refineries; asset tracking; harsh environments; Brazil; sensors.

DOI: 10.1504/IJSCOM.2016.076434

International Journal of Service and Computing Oriented Manufacturing, 2016 Vol.2 No.2, pp.103 - 123

Received: 20 Jan 2015
Accepted: 14 Jan 2016
Published online: 06 May 2016 *

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