Building Information Modeling (BIM) is being widely used during the design and construction of buildings. Recently, the use of BIM technology during the operation and maintenance phase has been increasingly adopted. Additionally, Virtual Reality (VR) and Augmented Reality (AR) technologies are utilized in many applications during the design, construction, and the operation and maintenance phases. VR/AR visualizations of BIM models has been widely investigated, and their commercial applications are available in the market. On the other hand, there has been a surge of interest in the exploitation of the Internet of Things (IoT) for constructed facilities, in the form of wireless networks connecting physical objects (e.g., sensing devices, facility assets, equipment, etc.). The generated data by IoT agents are aggregated, stored, processed and visualized for improving the safety and the utilization of facilities. Recent IoT systems offer data management and visualization solutions. However, to improve issues such as safety and indoor comfort conditions for facilities, most of the existing IoT deployment do not benefit from the enriched digital representations of BIM and its graphical visualization capabilities. Although the integration of sensor data with BIM models has been investigated in academia, storing such real-time data in a standard and structured manner remains to be further investigated. This research aims to visualize live environmental data collected by IoT agents in the AR environment built upon existing BIM models. In our case study, the environmental data, such as indoor air temperature, light intensity, and humidity are captured by sensors connected to Arduino microcontrollers. Sensor reading are then stored in the BIM model and visualized in both the BIM platform and the AR application in a real-time manner. The results of the case study showed that system can provide users with assistance for real-time monitoring of facilities' indoor thermal comfort conditions.