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.
6 Steps to Reshaping Hybrid Healthcare Workplaces
Man Escapes Police Custody at California Hospital After Causing Car Crash
Adena Health Unveils Construction Plans for New Fayette County Hospital
Healthcare Design Does Not Have to be Compromised to Prevent HAIs
Haydon Breaks Ground on Abrazo Health Litchfield Medical Building