2011
DOI: 10.1016/j.aei.2011.03.004
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Role-based access to facilities lifecycle information on RFID tags

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Cited by 33 publications
(30 citation statements)
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“…The sub-category that is most investigated in this area is information integration, using different techniques, such as data warehouse [21], agent-based web services [22], linking data in the cloud [23,24], a relational database and real-time data [25,26], a semantic web ontology [27,28], and using data mining techniques to extract useful information from BIM models to support FM activities during the O &M phase [29,30]. Other studies focused on integrating different technological systems rather than integrating the required FM information, for instance, integrating BIM with RFID tags to capture lifecycle information (Motamedi and Hammad 2009); [31,32], applying machine learning concept and raw sensor data [33], 2D barcode and mobile devices [34], a BIM/GIS-based information extraction (Mignard and Nicolle 2014); [35]. Other works focused on FM required information and developed bespoke techniques to integrate heterogeneous data, including BIM, by introducing an application programming interface plug-in to extend COBie by synthesising semantic data requirements that explicitly meet the owner's needs [36] Edwards, 2017), and integration of BIM and BAS information through a developed middleware layer to support energy consumption benchmarking [37].…”
Section: Sub-category: Life Cycle Information Integrationmentioning
confidence: 99%
“…The sub-category that is most investigated in this area is information integration, using different techniques, such as data warehouse [21], agent-based web services [22], linking data in the cloud [23,24], a relational database and real-time data [25,26], a semantic web ontology [27,28], and using data mining techniques to extract useful information from BIM models to support FM activities during the O &M phase [29,30]. Other studies focused on integrating different technological systems rather than integrating the required FM information, for instance, integrating BIM with RFID tags to capture lifecycle information (Motamedi and Hammad 2009); [31,32], applying machine learning concept and raw sensor data [33], 2D barcode and mobile devices [34], a BIM/GIS-based information extraction (Mignard and Nicolle 2014); [35]. Other works focused on FM required information and developed bespoke techniques to integrate heterogeneous data, including BIM, by introducing an application programming interface plug-in to extend COBie by synthesising semantic data requirements that explicitly meet the owner's needs [36] Edwards, 2017), and integration of BIM and BAS information through a developed middleware layer to support energy consumption benchmarking [37].…”
Section: Sub-category: Life Cycle Information Integrationmentioning
confidence: 99%
“…A classe de problemas relativa à Visualização, Interação e Comunicação entre Agentes é atendida por quatro estudos. Motamedi e Hammad (2009) e Motamedi et al (2011) são estudos continuados que, conforme indicado na fase de Construção e Comissionamento, abordam soluções RFID-BIM para rastreamento e acesso a informações de pessoal e objetos da edificação. No caso de O&M, os autores explicam os benefícios associados a ocupantes, seguranças, bombeiros, inspetores prediais e equipes de manutenção.…”
Section: Bim E Iot Naunclassified
“…Ergen et al (2007) used RFID technology to address difficulties in traditional facilities maintenance, such as slow data transmission, long processing times, and difficulty in establishing maintenance history. Motamedi et al (2011) used RFID tags as permanent repositories of component-specific information, allowing stakeholders (e.g., architects, engineers, construction crews, owners, and operators) to share information. In addition, cost and labor required to add and remove tags could be eliminated during the lifecycle by reducing data storage duplication among different stakeholders.…”
Section: Introductionmentioning
confidence: 99%