BIM-Base Indoor Environmental Monitoring System.
Keywords:
BIM, IoT Sensor, Realtime Monitoring System, Indoor Environmental DataAbstract
The transition to the digital building system technologies has enabled building information to be stored in digital format – the Building Information Modelling (BIM). In addition, the indoor environmental data can be detected and stored in the digital format by means of an IoT sensor. However, owing to the complexity of BIM data and its incompatibility with the ever-changing data from the IoT sensor, this study was thus aimed to integrate BIM with indoor environmental data using the IoT sensor in order to display the real-time outcomes on the Monitoring System.
The indoor environmental data was collected in an experimental and real area of 48 m2by the IoT sensor. The BIM was managed by classifying the data into 1) Static BIM and 2) Dynamic BIM. Next, the two sets of data, indoor environmental data and Dynamic BIM data, were integrated and displayed with Static BIM. The findings show that Static BIM and Dynamic BIM could be integrated by Cloud Technology, which provides storage and management services. The Static BIM could be divided into: 1) Architectural BIM which would be used to display and calculate the parameters, 2) the data related to the display system for calculating the parameters, and 3) the data of unrelated equipment that would be filtered out. The Dynamic BIM is a cube model in which colors could be changed according to the color codes transmitted from the IoT sensor to display the indoor environmental data including: temperatures, humidity, and light intensity. Each data was calculated to find the parameters based on the 3D Coordinate System to indicate the position of the sensor and the target cube. This was achieved by calculating the measured parameters and the distance between the IoT sensor and the position of each target cube. The parameters were then transformed into color codes. Each transmitted dataset contained the color code of each dataset and each cube. The transmission frequency was every 5 seconds. The test demonstrates the system limitation in the efficiency of the server to transmit the data to the cloud service platform that stores and manages the data. This was due to the fact that the server performance was not compatible with the amount of data and data transmission frequency, leading to unstable graphic display.
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