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.
How Efficiency Checklists Help Hospitals Save Energy, Water and Money
Intermountain Healthcare Receives $50M Gift for Standalone Children's Hospital
Arrowhead Regional Medical Center Reports Data Breach via Third Party
Safety Synergy: Infection Prevention That Protects Patients and Workers
Prefabricated Wall Panels Speed UCF Lake Nona Medical Center Construction