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.
Elevating EVS Professionals: The Case for Certified Hygiene Specialists
Global Handwashing Day and the Importance of Well-Maintained Restrooms
Duke Health and CaroMont Health Partner to Develop Two New Hospitals
Designing for the Psychology of Waiting
UT Health Sciences Breaks Ground on College of Medicine Interdisciplinary Building