Developing an Integrated Data Model based on IFC and SensorML for Post-COVID Facility Management

This paper presents an integrated data model based on IFC and SensorML to facilitate the post-COVID facilities management to ensure indoor thermal comfort and human health. This paper identifies the information with the reference to different industry guidelines, including WELL building Standard and Singapore BCA post-COVID regulations, and extracts necessary information for sensor description and identification. New parameters in the BIM environment are recommended in this paper to support model-based data exchange in the future. The information required is clarified with a process map depicting the information flow, and IFC MVD to provide a structured overview of the sensor requirement. Data mapping between IFC and SensorML is performed, the result indicates that missing entities and attributes can be proposed to enrich the sensor description in the IFC schema. The integration of SensorML and IFC provides better data interoperability between both schemas, improving information standardization and openness of data exchange in sensor description.