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

机译:资产识别和支持实时定位系统的无线技术声明:案例RNEST-Abreu e Lima精炼厂

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摘要

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.
机译:这项研究旨在提供一种方法,该方法有助于选择最合适的技术来在恶劣环境中进行资产跟踪,并有可能更自信地确定要跟踪的资产。所使用的方法是性能指标参数与基于实时定位系统(RTLS)的传感器技术特性之间的相关性,这些实时定位系统为:红外,超声波,蓝牙,UWB,RFID,Zigbee和GPS。因此,您将获得一个表,该表具有定性指标,这些定性指标随后按升序排列,从而生成图表雷达以清晰查看此评估等级。这种方法被应用于Abreu e Lima炼油厂-RNEST等恶劣环境中的跟踪情况。此方法及其应用程序的开发旨在最大程度地减少规划和部署错误,从而使RTLS系统的开发能够采用更合适的技术。

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