Details of Research Outputs

Green building concept encourages a building to be environment-friendly and energy saving during its whole life cycle. However, the current green building projects lacks an effective visualization system containing multiple sources of data for monitoring and management. The paper presents a novel approach integrating GIS, BIM and IoT data for visualizing Indoor Environment Quality (IEQ) parameters and ameliorating the decision-making process during asset operational phase. The prevailing green building standards like LEEDS are surveyed and essential parameters are summarized. Moreover, the data sources of these parameters are analyzed and organized. Subsequently, a new pipeline integrating GIS, BIM and sensor data is proposed to collect, transmit and visualize the required parameters. The geometry of IFC BIM model is extracted and transformed into GLTF 3D model based on WebGL. It is efficiently loaded in website GIS environment and reconnected with semantic information. IoT data is acquired by connecting with the cloud server and visualized in GIS environment using the asynchronous web techniques. A case study is conducted to validate the proposed approach. A campus building is modeled in Autodesk Revit and the sensors are deployed in the realistic building with their exact locations specified in the BIM model. The transformed model is placed in its real-world position in GIS environment and the sensor data is dynamically shown in the interface. In this way, the promising parameters are displayed in the interface along with additional information such as contextual environment. It implies that such visualization approach could benefit the green building operational process since it is more comprehensive and intuitive in contrast with traditional approaches.