WILSON

The built environment faces challenges like climate change and resource depletion, necessitating sustainable solutions that encompass environmental, social, and economic factors across the entire life cycle of buildings. However, “data siloing” issues in building management systems hinder the effective use of lifecycle data for sustainability decision-making due to technical and business process barriers. To address this, WILSON proposes a ground-breaking approach leveraging semantic data repositories, cognitive digital twins, and decentralised data management to transform the management of buildings and building portfolios. The project has been conceived to enable more efficient and sustainable data use in the built environment by leveraging cutting-edge technologies and innovative management practices. To do so, WILSON will develop a holistic, extensible, and decentralised data mesh architecture addressing data management which will be agnostic to and interoperable with existing, proprietary Building Management Systems (BMS) and Digital Twin Systems. This decentralised system will allow the integration of a suite of solutions focused on enhancing the overall performance of buildings and improved decision-making processes, mainly through: (i) enhanced buildings’ operation by improved planning and management; (ii) evaluation of environmental impact and circularity schemes; and (iii) advanced and more accurate diagnosis and monitoring of buildings.

Duration: 1 May 2024 - 30 April 2028