Information modeling and information retrieval for the internet of things (IoT) in buildings
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Universidade Federal de Minas Gerais
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The ability to monitor and analyze real-time information generated by sensors and devices is a differential to maximize employee effectiveness and productivity in organizations, reduce unscheduled downtime, increase production quality and minimize the risk of accidents. The implementation for effective smart building requires deep study of information systems, monitoring objectives with the data collection and analysis and reflection on concepts, representation, goals and occupations of buildings. This research is focused on the application of technologies within the domain of Architecture, Engineering and Construction (AEC). The objective is to identify the stage of current literature on the topics Information Modeling, Information Retrieval and Internet of Things (IoT) in buildings. It is also to discuss concepts and advances Smart Building, Building Automation, Intelligent Building and Information Modeling Building (BIM). Finally, it is proposed for the implementation of IoT in a research laboratory of UFMG. For this, the bibliographic research method was used in the main multidisciplinary databases and complete bases of the Information Science area, which proves the complementarity and interconnection between the concepts. The smart lab experiment is a proof of concept proposal that through practice makes simulations for real solutions like validation. The results demonstrate that the implementation of IoT provides new insights into the behavior of people and the environment, supporting the identification of standards and setting precedents for optimization.
Abstract
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Modelagem de informação da construção, Edifícios inteligentes, Cidades inteligentes, Recuperação da informação, Internet das coisas
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Information Modelling, Information Retrieval, Internet of Things (IoT), Smart Buildings, Smart Cities
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https://www.iiis.org/CDs2018/CD2018Spring/papers/ZA948QH.pdf