This presentation, titled „Real-Time Airflow Modelling in Operating Rooms,” was created by Doctoral Candidate Tani Angiero from the HumanIC project for the HumanIC Research Forum 2026.This study focuses on developing real-time airflow modeling for operating rooms to improve infection control, comfort, and energy efficiency. While traditional Computational Fluid Dynamics (CFD) is often too slow and expensive for active use, this project utilizes compressed sensing and low-order modeling to predict full flow patterns from just a few measurements. To validate these models, the researchers designed and assembled a scaled operating room facility measuring 87.5 X 87.5 X 37.5cm. This facility uses a water recirculation system and manikins with thermal plumes to maintain Reynolds and Richardson similarity to full-scale clinical environments. Current progress includes a fully operational setup, with imminent plans to conduct Particle Image Velocimetry (PIV) measurements for high-quality experimental validation. The ultimate goal is to integrate these real-time estimates into hospital workflows to support adaptive ventilation and decision-making regarding equipment placement. Future developments also include predictive maintenance through the monitoring of filter loading and particle transport indicators.
