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.
EVS Leadership Culture Critical in Preventing Hospital-Acquired Sepsis
Man Dies by Suicide in Emergency Department Waiting Room at Kansas Hospital
McCarthy Completes North Tower at Scripps Memorial Hospital La Jolla
Wesley Rehabilitation Center Specializes in Patients from Design to Care
Casa Colina Center for Disorders of Consciousness Officially Opens