Developing efficient, reliable, and functional sensing systems that connect the critical environmental variables with building control systems by using AI algorithms to process data and signals from sensors to increase design efficiency.
Advances in the effective integration of sensing technologies into building environments including motion sensors, optical sensors, structural health monitoring and environmental sensors are transforming the built-environment by maximising energy efficiency, life cycle, and occupant productivity.
Moreover, the national economy, security, and health is also anchored in our built-environment, so there are limitless opportunities to develop innovative solutions in the supporting technologies. In particular, smart distributed sensors will be pivotal for the networked intelligence in emerging “smart cities” to capture and convey data and insight.
If you can't measure it, you can't manage it! To be able to control and manage our infrastructure efficiently, it is essential that we can measure all the key parameters with the accuracy and spatial resolution needed. Applying novel sensing technologies to building systems will allow dramatic improvements in functionality and energy efficiency.
Our approach integrates a range of technologies for infrastructure monitoring and health prognosis to increase sustainability by reducing emission, resource consumption, and environmental impact, while maintaining occupant comfort by enhancing indoor environment quality (e.g. thermal, air quality, and lighting).
The Sensors and Automation cluster of the Smart Sustainable Building Network is actively working towards three of the United Nation's Sustainable Development Goals (SDGs):