Dr Kay Rogage

In this session, Kay Rogage will introduce a 3D data visualisation dashboard for effectively presenting and understanding complex sensor data within BIM models. Huge volumes of data are generated by buildings to give us a better understanding of how buildings are used. Data such as temperature, humidity and energy consumption can be captured through IoT sensor technology to capture building performance and occupant behaviour. Data relating to building maintenance however, can be captured through repair requests, service plans and product warrantees and building use can be gathered through occupant surveys. Whereas, heterogeneous data sets spread across systems and in numerous formats – meaning that drawing conclusions between performance gaps of buildings as designed and in use is limited. Better data gathering protocols and analysis models can provide advice to building managers, to mitigate poor performance in use and close the loop to designers and construction to evidence the causes of the gaps. Kay and her team have developed a 3D data visualisation platform that integrates data across protocols and provides actionable advice for building managers and owners. The platform was developed in collaboration with a social housing organisation to demonstrate the feasibility of the platform. In this session, she will present the work they have done, discuss the problems encountered with bringing data sets together, and demonstrate what types of information can be meaningful to building owners and managers.