عنوان مقاله [English]
In the construction industry, most of the focus is on the design and construction phase, while the most extended and costly phase of building life cycle is related to the operation of the building. Availability, accessibility, reliability, and updating of building information and the appropriate tools to manage this information is critical in facility management. During operation, real-time information of the building (e.g., temperature, humidity) that reflects the actual condition of the building can be measured by the sensors. Building Information Modeling (BIM) has the capability of integrating different technologies, thus providing a suitable platform for managing such critical information. Sensor data acts as a data repository for the BIM model. The integration of BIM and real-time sensor data provides a powerful platform to visualize, monitor and process building performance levels in a timely and automated manner. Although integrating sensor data and the BIM model has been explored in the previous studies, processing data to enter into the BIM model has been performed with a delay. In this study, visualization, monitoring, and processing data are performed in a timely and automated manner by employing an Application Programming Interface (API) in the context of the BIM. This procedure enhances the efficiency of facility management, emergency management, and maintenance for buildings. Moreover, the developed system provides maintenance information promptly and reduces extra repair work in the building. The developed framework also reduces the need for monitoring maintenance data manually, resulting in reducing the cost of operating the building and increasing the level of performance of the building simultaneously. The framework was validated in a residential building. Sensor data were automatically and timely transferred to a database via a user interface for the sake fo visualization and data monitoring. A customized API code is also utilized to process data and to evaluate the environmental conditions.