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Building Information Modeling (BIM) Enabled Facilities Management Using Hadoop Architecture

Abstract : Protecting the safety of occupants and the environment is a core value within Facilities Management. Data acquisition systems such as wireless sensor networks can help to monitor facilities to reduce hazards such as fire, water flooding and burglaries. Building Information Modeling (BIM) is a revolutionary development that is reshaping the Architecture Engineering and Construction (AEC) industry. BIM is both a process and a technology, offers wide solutions for facilities management. In order to monitor and manage facilities data in a BIM based simulated environment, this work reports upon a development of a system that uses BIM software and a wireless sensor technology to develop a proactive safety management system. However, to link BIM data with data values of wireless sensors motes will challenge the traditional approaches to data management and massive sensor data will contribute to the emerging model of big data. To extract relevant information out from the collected data, a prototype system uses Hadoop architecture for data storage and processing. The results of processing BIM and sensor data in a Hadoop architecture have demonstrated that proposed system can effectively provide data visualizations to facility managers with the most accurate information needed to make decisions. It also ultimately attempts to reduce safety hazards during the facility management phase of a building.
Keywords : Integration
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Contributeur : LE2I - université de Bourgogne Connectez-vous pour contacter le contributeur
Soumis le : lundi 20 août 2018 - 12:11:51
Dernière modification le : vendredi 5 août 2022 - 14:54:00


  • HAL Id : hal-01858252, version 1


Muhammad Arslan, Zainab Riaz, Munawar, Saba. Building Information Modeling (BIM) Enabled Facilities Management Using Hadoop Architecture. Portland International Conference on Management of Engineering and Technology (PICMET), Portland State Univ, Dept Engn & Technol Management; Portland State Univ Fdn, Jul 2017, Portland, OR, United States. ⟨hal-01858252⟩



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