Dr. Lavinia Chiara Tagliabue

CognitiveBIM: A BIM-Based Approach for a Users’ Centered Learnscapes Network

 

CognitiveBIM focuses upon a BIM-based (Building Information Modeling) development of a network of Cognitive Buildings located in different university campuses where technologies for Big Data gathering, storage, and mining are increasingly adopted. The experimental role of universities is crucial to disseminate an educational approach to the core topics as far as future cities are involved. The pilot buildings and components located within the Campuses provide a strong opportunity to develop social skills and awareness. The core topics are:

- Smart & Cognitive Cities, to be conceived as future centre of people aggregation which needs effective strategies and intelligent management for improving its own sustainability, resilience and adaptability in the life cycle;

- BIM-based technologies suitable to manage the built assets from the early design phase to the disposal, in order to develop a monitoring- and control-purposed digitally enabled management, capable to tune and customize the service level agreement on a real-time basis. The buildings' responsiveness acts as a key factor;

- Smart Construction Objects, namely ETICS-Related (External Thermal Insulation Composite System), aimed at transforming building components as service provision-oriented devices, within the energy performance-based contractual frameworks;

- unprecedented decision making processes, enabled by an IoT-Based rationale, tied to some blockchain-oriented solutions, able to introduce semi-autonomous criteria dealing with contract management;

- enhancement of the users' involvement, according to a Man-To-Machine approach, aiming at improving the built assets' energy performances as well as the workers' occupants' health & productivity, according to tailored and evolutional criteria;

- Cognitive Platform supporting advanced solutions regarding the Integrated Workplace Management System supported by some pioneering predictive data analytics to strengthen the digitally enabled data & information flows improving the built assets' energy efficiency and increase the users' occupancy.

The key assumption lies with not only customizing the building's indoor conditions depending on the users' identities and behaviours, but also to directly contribute to the users' health & productivity. It should allow to reduce the performance gap occurring between the predicted and actual performances of buildings and to enhance the users' indoor comfort conditions while reducing the energy consumption.

Research fellow at University of Brescia, Department Civil, Environmental, Architectural Engineering and Mathematics (DICATAM) and collaborates with Department Information Engineering (DII). In my PhD at Politecnico di Milano, I worked on sustainability of office building and assessment of energy requirements, energy saving measures and renewable energy integration in the built environment. I work on energy simulation and interoperability between Building Information Modeling and Building Energy Modeling to provide an interrupted chain of information between disciplines and support the design process. The research is focused on cognitive buildings and smart connection with a user-centered design approach (Behavioral design) able to promote a new vision of the building as a service provider to enhance and improve user experience.

Cognitive building, Behavioural design, BIM, Learnscape.

TBA

TBA