University students in Singapore who were participating in an innovation challenge were given eight months special access to a local hospital to solve challenges around energy efficiency and smart buildings, according to an article on the FutureIoT website.
The winning team used a system of multi-variant sensing for predictive controls of the air-conditioning system. They achieved more than 20 percent energy savings and improved comfort through machine learning of room occupancy and air quality metrics.
Their prototype enabled the air-conditioning system to be controlled by artificial intelligence.
Besides the AI software, the smart control solution also uses sensors to measure humidity, carbon dioxide and other room conditions.
The Role of Positive Distraction in Pediatric Design
Healthcare Waste is Fueling America's Debt
Prairie Lakes Healthcare System to Rebrand Following Sanford Health Merger
How Digital Technologies Are Reshaping Performance in Healthcare Facilities
The Role of Plumbing in Healthcare-Associated Infections