The purpose is enabling a smart campus system to respond to environmental change and fluctuations in the general economy with rapid adaptation. To do this, University of Helsinki works within the Untangling People Flow consortium and with partners develops a complex adaptive digital system to maximise the value of co-evolution of smart campus stakeholders (owners, administration, teachers, and students) towards stable and scalable financial outcomes. Our method is to represent smart campus as a digital twin as big data and accessible by cloud computing. The campus digital twin environmental attributes – temperature, light, sound, air quality - are continuously measured as objective data by sensing system and stored as a digital representation of the building’s performance. The use of the campus by people is continuously measured by ELISA SUPERSIGHT and FLOW LiDAR systems and stored as people-flow data. The personal experiences of stress in the campus is captured by digital questionnaires and stored as subjective data in customer relationship management layer. We develop a context-based recommender system to filter all the digital data and share people-flow advice to users with and apps and digital signage. The recommender services include people-flow congestion and navigation advice: before attending events (meetings, lunch time, party) during the event in the other parts of the building, and an evaluation of the experience. The complex adaptive digital system is monetarized by a customer relations management measuring KPIs improving productivity, collaborating and well-being of the stakeholders. Productivity includes improved campus energy efficiency and less wear and tear for investors and owners. Hyper modern smart campus digital facilities attracting international students and improving the scientific ranking for the University. New export opportunities for the partners involved by outcompeting other smart campuses in growing market.

2023

2026