In this research work, we present an IoT solution to environment variables using a LoRa transmission technology to give real-time information to users in a Things2People process and achieve savings by promoting behavior changes in a People2People process. These data are stored and later processed to identify patterns and integrate with visualization tools, which allow us to develop an environmental perception while using the system. In this project, we implemented a different approach based on the development of a 3D visualization tool that presents the system collected data, warnings, and other users’ perception in an interactive 3D model of the building. This data representation introduces a new People2People interaction approach to achieve savings in shared spaces like public buildings by combining sensor data with the users’ individual and collective perception. This approach was validated at the ISCTE-IUL University Campus, where this 3D IoT data representation was presented in mobile devices, and from this, influenced user behavior toward meeting campus sustainability goals

Funding: Gulbenkian sustainable program funding to project “University Community Engagement in Technologies for Sustainability: a Social Architecture”. This research was funded by the Foundation for Science and Technology (FCT) through ISTAR-IUL’s project

IoT,BIM,Sensors,Building information models,Energy saving,Unity

• Physical Sciences - Natural Sciences
• Chemical Sciences - Natural Sciences
• Biological Sciences - Natural Sciences
• Other Engineering and Technology Sciences - Engineering and Technology
• Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology
• Clinical Medicine - Medical and Health Sciences
• Other Medical Sciences - Medical and Health Sciences