Using machine learning to turn fire sensor data into life-saving insight
Professor Joshua Pulsipher is part of a team of researchers that have created a data-driven analysis system that could reveal how fires behave to better inform the building code, evacuation plans and advise first responders.
Fire behavior knowledge has not kept pace with today’s architecture and furnishing materials.Fabric and foam in modern furniture can produce toxic gases when on fire and the make-up and quantity of gases change during the evolution of a building fire.
Historically, older buildings were highly ventilated. However, modern buildings are sealed for energy efficiency with a vapour barrier that blocks airflow from the outside, resulting in oxygen-starved conditions and fires leading to inefficient combustion, which creates more toxic gases along with smoke.